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diff --git a/ml/dlib/docs/docs/algorithms.xml b/ml/dlib/docs/docs/algorithms.xml new file mode 100644 index 000000000..82c58f94a --- /dev/null +++ b/ml/dlib/docs/docs/algorithms.xml @@ -0,0 +1,1118 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Algorithms</title> + + <!-- ************************************************************************* --> + + <body> + + <p> + This page documents library components that are all basically just implementations of + mathematical functions or algorithms that don't fit in any of the other pages + of the dlib documentation. So this includes things like checksums, cryptographic hashes, + sorting, etc. + </p> + + </body> + + <!-- ************************************************************************* --> + + <menu width="150"> + <top> + <section> + <name>Tools</name> + <item>bigint</item> + <item>disjoint_subsets</item> + <item>disjoint_subsets_sized</item> + <item nolink="true"> + <name>Quantum Computing</name> + <sub> + <item>quantum_register</item> + <item>gate</item> + </sub> + </item> + <item>hsort_array</item> + <item>isort_array</item> + <item>numeric_constants</item> + <item>put_in_range</item> + <item>qsort_array</item> + <item>split_array</item> + <item>integrate_function_adapt_simp</item> + <item>square_root</item> + <item nolink="true"> + <name>Set Utilities</name> + <sub> + <item>set_intersection_size</item> + <item>set_intersection</item> + <item>set_union</item> + <item>set_difference</item> + </sub> + </item> + </section> + + + + <section> + <name>Statistics</name> + <item>rand</item> + <item>median</item> + <item>running_stats</item> + <item>running_stats_decayed</item> + <item>running_scalar_covariance_decayed</item> + <item>running_gradient</item> + <item>running_scalar_covariance</item> + <item>mean_sign_agreement</item> + <item>correlation</item> + <item>covariance</item> + <item>r_squared</item> + <item>mean_squared_error</item> + <item>running_covariance</item> + <item>running_cross_covariance</item> + <item>random_subset_selector</item> + <item>randomly_subsample</item> + <item>find_upper_quantile</item> + <item>count_steps_without_decrease_robust</item> + <item>count_steps_without_decrease</item> + <item>count_steps_without_increase</item> + + <item>binomial_random_vars_are_different</item> + <item>event_correlation</item> + <item>max_scoring_element</item> + <item>min_scoring_element</item> + + </section> + + <section> + <name>Hashing</name> + <item>md5</item> + <item>crc32</item> + <item>hash</item> + <item>count_bits</item> + <item>hamming_distance</item> + <item>murmur_hash3</item> + <item>murmur_hash3_128bit</item> + <item>gaussian_random_hash</item> + <item>uniform_random_hash</item> + <item>projection_hash</item> + <item>create_random_projection_hash</item> + <item>create_max_margin_projection_hash</item> + <item>hash_samples</item> + <item>hash_similar_angles_64</item> + <item>hash_similar_angles_128</item> + <item>hash_similar_angles_256</item> + <item>hash_similar_angles_512</item> + </section> + + <section> + <name>Filtering</name> + <item>kalman_filter</item> + <item>rls_filter</item> + <item>momentum_filter</item> + <item>rect_filter</item> + <item>find_optimal_rect_filter</item> + <item>find_optimal_momentum_filter</item> + </section> + + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + <!-- ************************************************************************* --> + + <component> + <name>hash_similar_angles_64</name> + <file>dlib/lsh.h</file> + <spec_file link="true">dlib/lsh/hashes_abstract.h</spec_file> + <description> + This object is a tool for computing locality sensitive hashes that give + vectors with small angles between each other similar hash values. In + particular, this object creates 64 random planes which pass though the + origin and uses them to create a 64bit hash. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>hash_similar_angles_128</name> + <file>dlib/lsh.h</file> + <spec_file link="true">dlib/lsh/hashes_abstract.h</spec_file> + <description> + This object is a tool for computing locality sensitive hashes that give + vectors with small angles between each other similar hash values. In + particular, this object creates 128 random planes which pass though the + origin and uses them to create a 128bit hash. + </description> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>hash_similar_angles_256</name> + <file>dlib/lsh.h</file> + <spec_file link="true">dlib/lsh/hashes_abstract.h</spec_file> + <description> + This object is a tool for computing locality sensitive hashes that give + vectors with small angles between each other similar hash values. In + particular, this object creates 256 random planes which pass though the + origin and uses them to create a 256bit hash. + </description> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>hash_similar_angles_512</name> + <file>dlib/lsh.h</file> + <spec_file link="true">dlib/lsh/hashes_abstract.h</spec_file> + <description> + This object is a tool for computing locality sensitive hashes that give + vectors with small angles between each other similar hash values. In + particular, this object creates 512 random planes which pass though the + origin and uses them to create a 512bit hash. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>hash_samples</name> + <file>dlib/graph_utils_threaded.h</file> + <spec_file link="true">dlib/graph_utils/find_k_nearest_neighbors_lsh_abstract.h</spec_file> + <description> + This is a simple function for hashing a bunch of vectors using a + locality sensitive hashing object such as <a href="#hash_similar_angles_128">hash_similar_angles_128</a>. + It is also capable of running in parallel on a multi-core CPU. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>bigint</name> + <file>dlib/bigint.h</file> + <spec_file>dlib/bigint/bigint_kernel_abstract.h</spec_file> + <description> + This object represents an arbitrary precision unsigned integer. It's pretty simple. + It's interface is just like a normal int, you don't have to tell it how much memory + to use or anything unusual. It just goes :) + </description> + + <implementations> + <implementation> + <name>bigint_kernel_1</name> + <file>dlib/bigint/bigint_kernel_1.h</file> + <description> + This implementation is done using an array of unsigned shorts. It is also reference counted. + For further details see the above link. Also note that kernel_2 should be + faster in almost every case so you should really just use that version of the bigint object. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for bigint_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>bigint_kernel_2</name> + <file>dlib/bigint/bigint_kernel_2.h</file> + <description> + This implementation is basically the same as kernel_1 except it uses the + Fast Fourier Transform to perform multiplications much faster. + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for bigint_kernel_2</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>crc32</name> + <file>dlib/crc32.h</file> + <spec_file>dlib/crc32/crc32_kernel_abstract.h</spec_file> + <description> + This object represents the CRC-32 algorithm for calculating checksums. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>gaussian_random_hash</name> + <file>dlib/hash.h</file> + <spec_file link="true">dlib/general_hash/random_hashing_abstract.h</spec_file> + <description> + This function uses hashing to generate Gaussian distributed random values + with mean 0 and variance 1. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>uniform_random_hash</name> + <file>dlib/hash.h</file> + <spec_file link="true">dlib/general_hash/random_hashing_abstract.h</spec_file> + <description> + This function uses hashing to generate uniform random values in the range [0,1). + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>murmur_hash3</name> + <file>dlib/hash.h</file> + <spec_file>dlib/general_hash/murmur_hash3_abstract.h</spec_file> + <description> + This function takes a block of memory and returns a 32bit hash. The + hashing algorithm used is Austin Appleby's excellent + <a href="http://code.google.com/p/smhasher/">MurmurHash3</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>murmur_hash3_128bit</name> + <file>dlib/hash.h</file> + <spec_file link="true">dlib/general_hash/murmur_hash3_abstract.h</spec_file> + <description> + This function takes a block of memory and returns a 128bit hash. The + hashing algorithm used is Austin Appleby's excellent + <a href="http://code.google.com/p/smhasher/">MurmurHash3</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>kalman_filter</name> + <file>dlib/filtering.h</file> + <spec_file>dlib/filtering/kalman_filter_abstract.h</spec_file> + <description> + This object implements the Kalman filter, which is a tool for + recursively estimating the state of a process given measurements + related to that process. To use this tool you will have to + be familiar with the workings of the Kalman filter. An excellent + introduction can be found in the paper: + <blockquote> + An Introduction to the Kalman Filter + by Greg Welch and Gary Bishop + </blockquote> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>momentum_filter</name> + <file>dlib/filtering.h</file> + <spec_file link="true">dlib/filtering/kalman_filter_abstract.h</spec_file> + <description> + This object is a simple tool for filtering a single scalar value that + measures the location of a moving object that has some non-trivial + momentum. Importantly, the measurements are noisy and the object can + experience sudden unpredictable accelerations. To accomplish this + filtering we use a simple <a href="#kalman_filter">Kalman filter</a> with a + state transition model of: +<pre> + + position_{i+1} = position_{i} + velocity_{i} + velocity_{i+1} = velocity_{i} + some_unpredictable_acceleration + +</pre> + + and a measurement model of: +<pre> + + measured_position_{i} = position_{i} + measurement_noise + +</pre> + + Where <tt>some_unpredictable_acceleration</tt> and <tt>measurement_noise</tt> are 0 mean Gaussian + noise sources. + + To allow for really sudden and large but infrequent accelerations, at each + step we check if the current measured position deviates from the predicted + filtered position by more than a user specified amount, + and if so we adjust the filter's state to keep it within these bounds. + This allows the moving object to undergo large unmodeled accelerations, far + in excess of what would be suggested by the basic Kalman filter's noise model, without + then experiencing a long lag time where the Kalman filter has to "catch + up" to the new position. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rect_filter</name> + <file>dlib/filtering.h</file> + <spec_file link="true">dlib/filtering/kalman_filter_abstract.h</spec_file> + <description> + This object is just a <a href="#momentum_filter">momentum_filter</a> applied to the + four corners of a <a href="linear_algebra.html#rectangle">rectangle</a>. It allows + you to filter a stream of rectangles, for instance, bounding boxes from an object detector + applied to a video stream. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_optimal_momentum_filter</name> + <file>dlib/filtering.h</file> + <spec_file link="true">dlib/filtering/kalman_filter_abstract.h</spec_file> + <description> + This function finds the "optimal" settings of a <a href="#momentum_filter">momentum_filter</a> + based on unfiltered measurement data. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_optimal_rect_filter</name> + <file>dlib/filtering.h</file> + <spec_file link="true">dlib/filtering/kalman_filter_abstract.h</spec_file> + <description> + This function finds the "optimal" settings of a <a href="#rect_filter">rect_filter</a> + based on unfiltered measurement data. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rls_filter</name> + <file>dlib/filtering.h</file> + <spec_file>dlib/filtering/rls_filter_abstract.h</spec_file> + <description> + This object is a tool for doing time series prediction using + linear <a href="ml.html#rls">recursive least squares</a>. In particular, + this object takes a sequence of points from the user and, at each + step, attempts to predict the value of the next point. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>projection_hash</name> + <file>dlib/lsh.h</file> + <spec_file>dlib/lsh/projection_hash_abstract.h</spec_file> + <description> + This is a tool for hashing elements of a vector space into the integers. + It is intended to represent locality sensitive hashing functions such as + the popular <a href="#create_random_projection_hash">random projection hashing</a> method. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>create_random_projection_hash</name> + <file>dlib/lsh.h</file> + <spec_file link="true">dlib/lsh/create_random_projection_hash_abstract.h</spec_file> + <description> + Creates a random projection based locality sensitive + <a href="#projection_hash">hashing function</a>. The projection matrix + is generated by sampling its elements from a Gaussian random number generator. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>create_max_margin_projection_hash</name> + <file>dlib/lsh.h</file> + <spec_file link="true">dlib/lsh/create_random_projection_hash_abstract.h</spec_file> + <description> + Creates a random projection based locality sensitive + <a href="#projection_hash">hashing function</a>. + This is accomplished using a variation on the random hyperplane generation + technique from the paper: + <blockquote> + Random Maximum Margin Hashing by Alexis Joly and Olivier Buisson + </blockquote> + In particular, we use a linear support vector machine to generate planes. + We train it on randomly selected and randomly labeled points from + the data to be hashed. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>hash</name> + <file>dlib/hash.h</file> + <spec_file>dlib/general_hash/hash_abstract.h</spec_file> + <description> + This is a set of convenience functions for invoking <a href="#murmur_hash3">murmur_hash3</a> + on std::strings, std::vectors, std::maps, or <a href="linear_algebra.html#matrix">dlib::matrix</a> objects. + <p> + As an aside, the hash() for matrix objects is defined <a href="dlib/matrix/matrix_utilities_abstract.h.html#hash">here</a>. + It has the same interface as all the others. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>count_bits</name> + <file>dlib/hash.h</file> + <spec_file link="true">dlib/general_hash/count_bits_abstract.h</spec_file> + <description> + This function counts the number of bits in an unsigned integer which are + set to 1. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>hamming_distance</name> + <file>dlib/hash.h</file> + <spec_file link="true">dlib/general_hash/count_bits_abstract.h</spec_file> + <description> + This function returns the hamming distance between two unsigned integers. + That is, it returns the number of bits which differer in the two integers. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rand</name> + <file>dlib/rand.h</file> + <spec_file>dlib/rand/rand_kernel_abstract.h</spec_file> + <description> + This object represents a pseudorandom number generator. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>disjoint_subsets</name> + <file>dlib/disjoint_subsets.h</file> + <spec_file link="true">dlib/disjoint_subsets/disjoint_subsets_abstract.h</spec_file> + <description> + This object represents a set of integers which is partitioned into + a number of disjoint subsets. It supports the two fundamental operations + of finding which subset a particular integer belongs to as well as + merging subsets. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>disjoint_subsets_sized</name> + <file>dlib/disjoint_subsets.h</file> + <spec_file link="true">dlib/disjoint_subsets/disjoint_subsets_sized_abstract.h</spec_file> + <description> + This object is just like <a href="#disjoint_subsets">disjoint_subsets</a> except that it + also keeps track of the size of each set. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>running_stats</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This object represents something that can compute the running mean, + variance, skewness, and kurtosis statistics of a stream of real numbers. + </description> + + <examples> + <example>running_stats_ex.cpp.html</example> + <example>kcentroid_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>running_stats_decayed</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This object represents something that can compute the running mean and + variance of a stream of real numbers. It is similar to <a href="#running_stats">running_stats</a> + except that it forgets about data it has seen after a certain period of + time. It does this by exponentially decaying old statistics. + </description> + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>running_scalar_covariance_decayed</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This object represents something that can compute the running covariance of + a stream of real number pairs. It is essentially the same as + <a href="#running_scalar_covariance">running_scalar_covariance</a> except that it forgets about data it has seen + after a certain period of time. It does this by exponentially decaying old + statistics. + </description> + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>running_gradient</name> + <file>dlib/statistics/running_gradient.h</file> + <spec_file link="true">dlib/statistics/running_gradient_abstract.h</spec_file> + <description> + This object is a tool for estimating if a noisy sequence of numbers is + trending up or down and by how much. It does this by finding the least + squares fit of a line to the data and then allows you to perform a + statistical test on the slope of that line. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_upper_quantile</name> + <file>dlib/statistics/running_gradient.h</file> + <spec_file link="true">dlib/statistics/running_gradient_abstract.h</spec_file> + <description> + Finds and returns the scalar value such that a user specified percentage of + the values in a container are greater than said value. For example, 0.5 + would find the median value in a container while 0.1 would find the value + that lower bounded the 10% largest values in a container. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>count_steps_without_increase</name> + <file>dlib/statistics/running_gradient.h</file> + <spec_file link="true">dlib/statistics/running_gradient_abstract.h</spec_file> + <description> + Given a potentially noisy time series, this function returns a count of how + long the time series has gone without noticeably increasing in value. It does + this by adding the elements of the time series into a <a + href="#running_gradient">running_gradient</a> object and counting how many + elements, starting with the most recent, you need to examine before you + are confident that the series has been increasing in value. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>binomial_random_vars_are_different</name> + <file>dlib/statistics/statistic.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This function performs a simple statistical test to check if two binomially + distributed random variables have the same parameter (i.e. the chance of + "success"). It uses the simple likelihood ratio test discussed in + the following paper: + <blockquote> + Dunning, Ted. "Accurate methods for the statistics of surprise and + coincidence." Computational linguistics 19.1 (1993): 61-74. + </blockquote> + So for an extended discussion of the method see the above paper. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>event_correlation</name> + <file>dlib/statistics/statistic.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This function does a statistical test to determine if two events co-occur in a + statistically significant way. It uses the simple likelihood ratio + test discussed in the following paper: + <blockquote> + Dunning, Ted. "Accurate methods for the statistics of surprise and + coincidence." Computational linguistics 19.1 (1993): 61-74. + </blockquote> + So for an extended discussion of the method see the above paper. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>max_scoring_element</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This function finds the element of container that has the largest score, + according to a user supplied score function, and returns a std::pair containing + that maximal element along with the score. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>min_scoring_element</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This function finds the element of container that has the smallest score, + according to a user supplied score function, and returns a std::pair containing + that minimal element along with the score. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>count_steps_without_decrease</name> + <file>dlib/statistics/running_gradient.h</file> + <spec_file link="true">dlib/statistics/running_gradient_abstract.h</spec_file> + <description> + Given a potentially noisy time series, this function returns a count of how + long the time series has gone without noticeably decreasing in value. It does + this by adding the elements of the time series into a <a + href="#running_gradient">running_gradient</a> object and counting how many + elements, starting with the most recent, you need to examine before you + are confident that the series has been decreasing in value. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>count_steps_without_decrease_robust</name> + <file>dlib/statistics/running_gradient.h</file> + <spec_file link="true">dlib/statistics/running_gradient_abstract.h</spec_file> + <description> + This function behaves just like <a + href="#count_steps_without_decrease">count_steps_without_decrease</a> except + that it ignores times series values that are anomalously large. This makes it + robust to sudden noisy but transient spikes in the time series values. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>running_covariance</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This object is a simple tool for computing the mean and + covariance of a sequence of vectors. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>running_cross_covariance</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This object is a simple tool for computing the mean and + cross-covariance matrices of a sequence of pairs of vectors. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>running_scalar_covariance</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This object is a simple tool for computing the covariance of a + sequence of scalar values. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>mean_sign_agreement</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This is a function for computing the probability that + matching elements of two std::vectors have the same sign. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>correlation</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This is a function for computing the correlation between + matching elements of two std::vectors. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>covariance</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This is a function for computing the covariance between + matching elements of two std::vectors. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>r_squared</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This is a function for computing the R squared coefficient between + matching elements of two std::vectors. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>mean_squared_error</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This is a function for computing the mean squared error between + matching elements of two std::vectors. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>random_subset_selector</name> + <file>dlib/statistics.h</file> + <spec_file>dlib/statistics/random_subset_selector_abstract.h</spec_file> + <description> + This object is a tool to help you select a random subset of a large body of data. + In particular, it is useful when the body of data is too large to fit into memory. + </description> + + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>randomly_subsample</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/random_subset_selector_abstract.h</spec_file> + <description> + This is a set of convenience functions for + creating <a href="#random_subset_selector">random subsets</a> of data. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>hsort_array</name> + <file>dlib/sort.h</file> + <spec_file link="true">dlib/sort.h</spec_file> + <description> + hsort_array is an implementation of the heapsort algorithm. It will sort anything that has an + array like operator[] interface. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>put_in_range</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a simple function that takes a range and a value and returns the given + value if it is within the range. If it isn't in the range then it returns the + end of range value that is closest. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>isort_array</name> + <file>dlib/sort.h</file> + <spec_file link="true">dlib/sort.h</spec_file> + <description> + isort_array is an implementation of the insertion sort algorithm. It will sort anything that has an + array like operator[] interface. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>numeric_constants</name> + <file>dlib/numeric_constants.h</file> + <spec_file>dlib/numeric_constants.h</spec_file> + <description> + This is just a header file containing definitions of common numeric constants such as pi and e. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>qsort_array</name> + <file>dlib/sort.h</file> + <spec_file link="true">dlib/sort.h</spec_file> + <description> + qsort_array is an implementation of the QuickSort algorithm. It will sort anything that has an array like + operator[] interface. If the quick sort becomes unstable then it switches to a heap sort. This + way sorting is guaranteed to take at most N*log(N) time. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>split_array</name> + <file>dlib/array.h</file> + <spec_file link="true">dlib/array/array_tools_abstract.h</spec_file> + <description> + This function is used to efficiently split <a href="containers.html#array">array</a> + like objects into two parts. It uses the global swap() function instead + of copying to move elements around, so it works on arrays of non-copyable + types. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>integrate_function_adapt_simp</name> + <file>dlib/numerical_integration.h</file> + <spec_file link="true">dlib/numerical_integration/integrate_function_adapt_simpson_abstract.h</spec_file> + <description> + Computes an approximation of the integral of a real valued function using the + adaptive Simpson method outlined in + <blockquote> + Gander, W. and W. Gautshi, "Adaptive + Quadrature -- Revisited" BIT, Vol. 40, (2000), pp.84-101 + </blockquote> + </description> + <examples> + <example>integrate_function_adapt_simp_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>md5</name> + <file>dlib/md5.h</file> + <spec_file>dlib/md5/md5_kernel_abstract.h</spec_file> + <description> + This is an implementation of The MD5 Message-Digest Algorithm as described in rfc1321. + </description> + + </component> + + + + <!-- ************************************************************************* --> + + <component> + <name>median</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This function takes three parameters and finds the median of the three. The median is swapped into + the first parameter and the first parameter ends up in one of the other two, unless the first parameter was + the median to begin with of course. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>square_root</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + square_root is a function which takes an unsigned long and returns the square root of it or + if the root is not an integer then it is rounded up to the next integer. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>set_intersection</name> + <file>dlib/set_utils.h</file> + <spec_file link="true">dlib/set_utils/set_utils_abstract.h</spec_file> + <description> + This function takes two <a href="containers.html#set">set</a> objects and + gives you their intersection. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>set_union</name> + <file>dlib/set_utils.h</file> + <spec_file link="true">dlib/set_utils/set_utils_abstract.h</spec_file> + <description> + This function takes two <a href="containers.html#set">set</a> objects and + gives you their union. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>set_difference</name> + <file>dlib/set_utils.h</file> + <spec_file link="true">dlib/set_utils/set_utils_abstract.h</spec_file> + <description> + This function takes two <a href="containers.html#set">set</a> objects and + gives you their difference. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>set_intersection_size</name> + <file>dlib/set_utils.h</file> + <spec_file link="true">dlib/set_utils/set_utils_abstract.h</spec_file> + <description> + This function takes two <a href="containers.html#set">set</a> objects and tells you + how many items they have in common. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>quantum_register</name> + <file>dlib/quantum_computing.h</file> + <spec_file link="true">dlib/quantum_computing/quantum_computing_abstract.h</spec_file> + <description> + This object represents a set of quantum bits. It can be used + with the quantum <a href="#gate">gate</a> object to simulate + quantum algorithms. + </description> + + <examples> + <example>quantum_computing_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>gate</name> + <file>dlib/quantum_computing.h</file> + <spec_file link="true">dlib/quantum_computing/quantum_computing_abstract.h</spec_file> + <description> + This object represents a quantum gate that operates on a + <a href="#quantum_register">quantum_register</a>. + </description> + <examples> + <example>quantum_computing_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + </components> + + <!-- ************************************************************************* --> + + +</doc> + diff --git a/ml/dlib/docs/docs/api.xml b/ml/dlib/docs/docs/api.xml new file mode 100644 index 000000000..2d6811b44 --- /dev/null +++ b/ml/dlib/docs/docs/api.xml @@ -0,0 +1,1289 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>API Wrappers</title> + + <!-- ************************************************************************* --> + + <body> + + <p> + + These wrappers provide a portable object oriented interface for networking, multithreading, + GUI development, and file browsing. + Programs written using them can be compiled under POSIX or MS Windows platforms without changing the code. + </p> + + + + </body> + + <!-- ************************************************************************* --> + + <menu width="180"> + <top> + <section> + <name>API</name> + + + + <item> + <name>gui_widgets</name> + <sub> + <item nolink="true"> + <name>widgets</name> + <sub> + <item> + <name>draggable</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#draggable</link> + </item> + <item> + <name>tooltip</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#tooltip</link> + </item> + <item> + <name>popup_menu_region</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#popup_menu_region</link> + </item> + <item> + <name>button_action</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#button_action</link> + </item> + <item> + <name>scrollable_region</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#scrollable_region</link> + </item> + <item> + <name>zoomable_region</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#zoomable_region</link> + </item> + <item> + <name>mouse_over_event</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#mouse_over_event</link> + </item> + <item> + <name>scroll_bar</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#scroll_bar</link> + </item> + <item> + <name>widget_group</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#widget_group</link> + </item> + <item> + <name>image_widget</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#image_widget</link> + </item> + <item> + <name>popup_menu</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#popup_menu</link> + </item> + <item> + <name>menu_item</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#menu_item</link> + </item> + <item> + <name>menu_item_text</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#menu_item_text</link> + </item> + <item> + <name>menu_item_separator</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#menu_item_separator</link> + </item> + <item> + <name>menu_item_submenu</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#menu_item_submenu</link> + </item> + <item> + <name>named_rectangle</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#named_rectangle</link> + </item> + <item> + <name>menu_bar</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#menu_bar</link> + </item> + <item> + <name>perspective_window</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#perspective_window</link> + </item> + <item> + <name>perspective_display</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#perspective_display</link> + </item> + <item> + <name>image_window</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#image_window</link> + </item> + <item> + <name>image_display</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#image_display</link> + </item> + <item> + <name>message_box</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#message_box</link> + </item> + <item> + <name>message_box_blocking</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#message_box_blocking</link> + </item> + <item> + <name>open_file_box</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#open_file_box</link> + </item> + <item> + <name>open_existing_file_box</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#open_existing_file_box</link> + </item> + <item> + <name>save_file_box</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#save_file_box</link> + </item> + <item> + <name>label</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#label</link> + </item> + <item> + <name>button</name> + <link>dlib/gui_widgets/base_widgets_abstract.h.html#button</link> + </item> + <item> + <name>toggle_button</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#toggle_button</link> + </item> + <item> + <name>text_grid</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#text_grid</link> + </item> + <item> + <name>directed_graph_drawer</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#directed_graph_drawer</link> + </item> + <item> + <name>list_box</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#list_box</link> + </item> + <item> + <name>check_box</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#check_box</link> + </item> + <item> + <name>radio_button</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#radio_button</link> + </item> + <item> + <name>text_field</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#text_field</link> + </item> + <item> + <name>text_box</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#text_box</link> + </item> + <item> + <name>tabbed_display</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#tabbed_display</link> + </item> + <item> + <name>mouse_tracker</name> + <link>dlib/gui_widgets/widgets_abstract.h.html#mouse_tracker</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>styles</name> + <sub> + <item> + <name>button_style</name> + <link>dlib/gui_widgets/style_abstract.h.html#button_style</link> + </item> + <item> + <name>button_style_default</name> + <link>dlib/gui_widgets/style_abstract.h.html#button_style_default</link> + </item> + <item> + <name>button_style_arrow</name> + <link>dlib/gui_widgets/style_abstract.h.html#button_style_arrow</link> + </item> + <item> + <name>button_style_toolbar1</name> + <link>dlib/gui_widgets/style_abstract.h.html#button_style_toolbar1</link> + </item> + <item> + <name>button_style_toolbar_icon1</name> + <link>dlib/gui_widgets/style_abstract.h.html#button_style_toolbar_icon1</link> + </item> + + + <item> + <name>toggle_button_style</name> + <link>dlib/gui_widgets/style_abstract.h.html#toggle_button_style</link> + </item> + <item> + <name>toggle_button_style_default</name> + <link>dlib/gui_widgets/style_abstract.h.html#toggle_button_style_default</link> + </item> + <item> + <name>toggle_button_style_check_box</name> + <link>dlib/gui_widgets/style_abstract.h.html#toggle_button_style_check_box</link> + </item> + <item> + <name>toggle_button_style_radio_button</name> + <link>dlib/gui_widgets/style_abstract.h.html#toggle_button_style_radio_button</link> + </item> + + + <item> + <name>scroll_bar_style</name> + <link>dlib/gui_widgets/style_abstract.h.html#scroll_bar_style</link> + </item> + <item> + <name>scroll_bar_style_default</name> + <link>dlib/gui_widgets/style_abstract.h.html#scroll_bar_style_default</link> + </item> + + + <item> + <name>scrollable_region_style</name> + <link>dlib/gui_widgets/style_abstract.h.html#scrollable_region_style</link> + </item> + <item> + <name>scrollable_region_style_default</name> + <link>dlib/gui_widgets/style_abstract.h.html#scrollable_region_style_default</link> + </item> + + + <item> + <name>list_box_style</name> + <link>dlib/gui_widgets/style_abstract.h.html#list_box_style</link> + </item> + <item> + <name>list_box_style_default</name> + <link>dlib/gui_widgets/style_abstract.h.html#list_box_style_default</link> + </item> + + + <item> + <name>text_field_style</name> + <link>dlib/gui_widgets/style_abstract.h.html#text_field_style</link> + </item> + <item> + <name>text_field_style_default</name> + <link>dlib/gui_widgets/style_abstract.h.html#text_field_style_default</link> + </item> + + + <item> + <name>text_box_style</name> + <link>dlib/gui_widgets/style_abstract.h.html#text_box_style</link> + </item> + <item> + <name>text_box_style_default</name> + <link>dlib/gui_widgets/style_abstract.h.html#text_box_style_default</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>canvas drawing functions</name> + <sub> + <item> + <name>draw_line</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_line</link> + </item> + <item> + <name>draw_rectangle</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_rectangle</link> + </item> + <item> + <name>draw_circle</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_circle</link> + </item> + <item> + <name>draw_pixel</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_pixel</link> + </item> + <item> + <name>draw_solid_circle</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_solid_circle</link> + </item> + <item> + <name>draw_solid_convex_polygon</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_solid_convex_polygon</link> + </item> + <item> + <name>draw_button_down</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_button_down</link> + </item> + <item> + <name>draw_sunken_rectangle</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_sunken_rectangle</link> + </item> + <item> + <name>draw_button_up</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_button_up</link> + </item> + <item> + <name>draw_checkered</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_checkered</link> + </item> + <item> + <name>draw_image</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_image</link> + </item> + <item> + <name>fill_rect</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#fill_rect</link> + </item> + <item> + <name>fill_rect_with_vertical_gradient</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#fill_rect_with_vertical_gradient</link> + </item> + <item> + <name>fill_gradient_rounded</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#fill_gradient_rounded</link> + </item> + <item> + <name>draw_rounded_rectangle</name> + <link>dlib/gui_widgets/canvas_drawing_abstract.h.html#draw_rounded_rectangle</link> + </item> + </sub> + </item> + <item> + <name>drawable</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#drawable</link> + <sub> + <item> + <name>set_main_font</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#set_main_font</link> + </item> + <item> + <name>main_font</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#main_font</link> + </item> + <item> + <name>z_order</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#z_order</link> + </item> + <item> + <name>next_free_user_event_number</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#next_free_user_event_number</link> + </item> + <item> + <name>set_z_order</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#set_z_order</link> + </item> + <item nolink="true"> + <name>shape</name> + <sub> + <item> + <name>get_rect</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#get_rect</link> + </item> + <item> + <name>bottom</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#bottom</link> + </item> + <item> + <name>top</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#top</link> + </item> + <item> + <name>left</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#left</link> + </item> + <item> + <name>right</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#right</link> + </item> + <item> + <name>width</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#width</link> + </item> + <item> + <name>height</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#height</link> + </item> + </sub> + </item> + <item> + <name>set_pos</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#set_pos</link> + </item> + <item> + <name>is_enabled</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#is_enabled</link> + </item> + <item> + <name>enable</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#enable</link> + </item> + <item> + <name>disable</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#disable</link> + </item> + <item> + <name>is_hidden</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#is_hidden</link> + </item> + <item> + <name>show</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#show</link> + </item> + <item> + <name>hide</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#hide</link> + </item> + <item> + <name>parent_window</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#parent_window</link> + </item> + <item> + <name>enable_events</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#enable_events</link> + </item> + <item> + <name>events_are_enabled</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#events_are_enabled</link> + </item> + <item> + <name>disable_events</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#disable_events</link> + </item> + <item nolink="true"> + <name>events</name> + <sub> + <item> + <name>on_window_resized</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_window_resized</link> + </item> + <item> + <name>on_window_moved</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_window_moved</link> + </item> + <item> + <name>on_focus_gained</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_focus_gained</link> + </item> + <item> + <name>on_focus_lost</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_focus_lost</link> + </item> + <item> + <name>on_mouse_up</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_mouse_up</link> + </item> + <item> + <name>on_mouse_move</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_mouse_move</link> + </item> + <item> + <name>on_mouse_enter</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_mouse_enter</link> + </item> + <item> + <name>on_mouse_leave</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_mouse_leave</link> + </item> + <item> + <name>on_mouse_down</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_mouse_down</link> + </item> + <item> + <name>on_wheel_up</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_wheel_up</link> + </item> + <item> + <name>on_wheel_down</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_wheel_down</link> + </item> + <item> + <name>on_keydown</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_keydown</link> + </item> + <item> + <name>on_string_put</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_string_put</link> + </item> + <item> + <name>on_user_event</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#on_user_event</link> + </item> + <item> + <name>draw</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#draw</link> + </item> + </sub> + </item> + </sub> + </item> + <item> + <name>drawable_window</name> + <link>dlib/gui_widgets/drawable_abstract.h.html#drawable_window</link> + </item> + <item nolink="true"> + <name>fonts</name> + <sub> + <item> + <name>letter</name> + <link>dlib/gui_widgets/fonts_abstract.h.html#letter</link> + </item> + <item> + <name>font</name> + <link>dlib/gui_widgets/fonts_abstract.h.html#font</link> + </item> + <item> + <name>default_font</name> + <link>dlib/gui_widgets/fonts_abstract.h.html#default_font</link> + </item> + <item> + <name>get_native_font</name> + <link>dlib/gui_widgets/fonts_abstract.h.html#get_native_font</link> + </item> + <item> + <name>bdf_font</name> + <link>dlib/gui_widgets/fonts_abstract.h.html#bdf_font</link> + </item> + </sub> + </item> + </sub> + </item> + + <item> + <name>gui_core</name> + <sub> + <item> + <name>base_window</name> + <link>dlib/gui_core/gui_core_kernel_abstract.h.html#base_window</link> + </item> + <item> + <name>canvas</name> + <link>dlib/gui_core/gui_core_kernel_abstract.h.html#canvas</link> + </item> + <item> + <name>get_from_clipboard</name> + <link>dlib/gui_core/gui_core_kernel_abstract.h.html#get_from_clipboard</link> + </item> + <item> + <name>put_on_clipboard</name> + <link>dlib/gui_core/gui_core_kernel_abstract.h.html#put_on_clipboard</link> + </item> + </sub> + </item> + + <item> + <name>dir_nav</name> + <sub> + <item> + <name>get_filesystem_roots</name> + <link>dlib/dir_nav/dir_nav_kernel_abstract.h.html#get_filesystem_roots</link> + </item> + <item> + <name>file</name> + <link>dlib/dir_nav/dir_nav_kernel_abstract.h.html#file</link> + </item> + <item> + <name>directory</name> + <link>dlib/dir_nav/dir_nav_kernel_abstract.h.html#directory</link> + </item> + <item> + <name>get_files_in_directory_tree</name> + <link>dlib/dir_nav/dir_nav_extensions_abstract.h.html#get_files_in_directory_tree</link> + </item> + <item> + <name>get_parent_directory</name> + <link>dlib/dir_nav/dir_nav_extensions_abstract.h.html#get_parent_directory</link> + </item> + <item> + <name>file_exists</name> + <link>dlib/dir_nav/dir_nav_extensions_abstract.h.html#file_exists</link> + </item> + <item> + <name>select_oldest_file</name> + <link>dlib/dir_nav/dir_nav_extensions_abstract.h.html#select_oldest_file</link> + </item> + <item> + <name>select_newest_file</name> + <link>dlib/dir_nav/dir_nav_extensions_abstract.h.html#select_newest_file</link> + </item> + </sub> + </item> + <item> + <name>misc_api</name> + <sub> + <item> + <name>sleep</name> + <link>dlib/misc_api/misc_api_kernel_abstract.h.html#sleep</link> + </item> + <item> + <name>get_current_dir</name> + <link>dlib/misc_api/misc_api_kernel_abstract.h.html#get_current_dir</link> + </item> + <item> + <name>set_current_dir</name> + <link>dlib/misc_api/misc_api_kernel_abstract.h.html#set_current_dir</link> + </item> + <item> + <name>locally_change_current_dir</name> + <link>dlib/misc_api/misc_api_kernel_abstract.h.html#locally_change_current_dir</link> + </item> + <item> + <name>create_directory</name> + <link>dlib/misc_api/misc_api_kernel_abstract.h.html#create_directory</link> + </item> + <item> + <name>timestamper</name> + <link>dlib/misc_api/misc_api_kernel_abstract.h.html#timestamper</link> + </item> + </sub> + </item> + <item> + <name>threads</name> + <sub> + <item nolink="true"> + <name>extensions</name> + <sub> + <item>thread_specific_data</item> + <item>create_new_thread_extension</item> + <item>rsignaler</item> + <item>rmutex</item> + <item>read_write_mutex</item> + <item>auto_mutex</item> + <item>auto_mutex_readonly</item> + <item>auto_unlock</item> + <item>auto_unlock_readonly</item> + <item>threaded_object</item> + <item>thread_pool</item> + <item>async</item> + <item>default_thread_pool</item> + <item>parallel_for</item> + <item> + <name>future</name> + <link>dlib/threads/thread_pool_extension_abstract.h.html#future</link> + </item> + <item>thread_function</item> + <item>multithreaded_object</item> + </sub> + </item> + <item> + <name>is_dlib_thread</name> + <link>dlib/threads/threads_kernel_abstract.h.html#is_dlib_thread</link> + </item> + <item> + <name>create_new_thread</name> + <link>dlib/threads/threads_kernel_abstract.h.html#create_new_thread</link> + </item> + <item> + <name>mutex</name> + <link>dlib/threads/threads_kernel_abstract.h.html#mutex</link> + </item> + <item> + <name>unregister_thread_end_handler</name> + <link>dlib/threads/threads_kernel_abstract.h.html#unregister_thread_end_handler</link> + </item> + <item> + <name>register_thread_end_handler</name> + <link>dlib/threads/threads_kernel_abstract.h.html#register_thread_end_handler</link> + </item> + <item> + <name>signaler</name> + <link>dlib/threads/threads_kernel_abstract.h.html#signaler</link> + </item> + <item> + <name>get_thread_id</name> + <link>dlib/threads/threads_kernel_abstract.h.html#get_thread_id</link> + </item> + </sub> + </item> + <item> + <name>sockets</name> + <sub> + <item nolink="true"> + <name>extensions</name> + <sub> + <item> + <name>network_address</name> + <link>dlib/sockets/sockets_extensions_abstract.h.html#network_address</link> + </item> + <item> + <name>connect</name> + <link>dlib/sockets/sockets_extensions_abstract.h.html#connect</link> + </item> + <item> + <name>is_ip_address</name> + <link>dlib/sockets/sockets_extensions_abstract.h.html#is_ip_address</link> + </item> + <item> + <name>close_gracefully</name> + <link>dlib/sockets/sockets_extensions_abstract.h.html#close_gracefully</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>objects</name> + <sub> + <item> + <name>connection</name> + <link>dlib/sockets/sockets_kernel_abstract.h.html#connection</link> + </item> + <item> + <name>listener</name> + <link>dlib/sockets/sockets_kernel_abstract.h.html#listener</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>functions</name> + <sub> + <item> + <name>create_connection</name> + <link>dlib/sockets/sockets_kernel_abstract.h.html#create_connection</link> + </item> + <item> + <name>create_listener</name> + <link>dlib/sockets/sockets_kernel_abstract.h.html#create_listener</link> + </item> + <item> + <name>get_local_hostname</name> + <link>dlib/sockets/sockets_kernel_abstract.h.html#get_local_hostname</link> + </item> + <item> + <name>hostname_to_ip</name> + <link>dlib/sockets/sockets_kernel_abstract.h.html#hostname_to_ip</link> + </item> + <item> + <name>ip_to_hostname</name> + <link>dlib/sockets/sockets_kernel_abstract.h.html#ip_to_hostname</link> + </item> + </sub> + </item> + </sub> + </item> + </section> + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + <component> + <name>dir_nav</name> + <file>dlib/dir_nav.h</file> + <spec_file>dlib/dir_nav/dir_nav_kernel_abstract.h</spec_file> + <description> + This is a set of objects that provide an easy and portable way to traverse a directory tree. + </description> + + <examples> + <example>dir_nav_ex.cpp.html</example> + </examples> + + <implementations> + <implementation> + <name>dir_nav_kernel_1</name> + <file>dlib/dir_nav/dir_nav_kernel_1.h</file> + <description> + MS Windows implementation + </description> + + </implementation> + <implementation> + <name>dir_nav_kernel_2</name> + <file>dlib/dir_nav/dir_nav_kernel_2.h</file> + <description> + POSIX implementation + </description> + + </implementation> + </implementations> + + <extensions> + <extension> + <name>dir_nav_extensions</name> + <spec_file>dlib/dir_nav/dir_nav_extensions_abstract.h</spec_file> + <description> + This is just some miscellaneous extensions to the dir_nav component. + </description> + </extension> + </extensions> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>gui_core</name> + <file>dlib/gui_core.h</file> + <spec_file>dlib/gui_core/gui_core_kernel_abstract.h</spec_file> + <description> + This is a set of objects and functions which provide a very basic + framework for manipulating windows. It is intended to provide a portable + interface which can be used to build a more complex windowing toolkit. + </description> + + <implementations> + <implementation> + <name>gui_core_kernel_1</name> + <file>dlib/gui_core/gui_core_kernel_1.h</file> + <description> + MS Windows implementation + </description> + + </implementation> + <implementation> + <name>gui_core_kernel_2</name> + <file>dlib/gui_core/gui_core_kernel_2.h</file> + <description> + X Windows implementation + </description> + + </implementation> + </implementations> + + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>misc_api</name> + <file>dlib/misc_api.h</file> + <spec_file>dlib/misc_api/misc_api_kernel_abstract.h</spec_file> + <description> + This is just a collection of miscellaneous APIs that were small/simple + enough not to warrant their own module. + </description> + + <implementations> + <implementation> + <name>misc_api_kernel_1</name> + <file>dlib/misc_api/misc_api_kernel_1.h</file> + <description> + MS Windows implementation + </description> + + </implementation> + <implementation> + <name>misc_api_kernel_2</name> + <file>dlib/misc_api/misc_api_kernel_2.h</file> + <description> + POSIX implementation + </description> + + </implementation> + </implementations> + + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>sockets</name> + <file>dlib/sockets.h</file> + <spec_file>dlib/sockets/sockets_kernel_abstract.h</spec_file> + <description> + This is a set of objects that provides an easy to use and object oriented + interface for dealing with TCP networking. There are currently two implementations, + one for UNIX and another for all versions of Windows after Windows95. + Both provide the exact same interface so programs written with them can be + recompiled on either platform without a problem. + <p> + You also may want to take note of the <a href="other.html#timeout">timeout</a> object. + It provides a mechanism which you can use to add a timeout to a network operation. + </p> + </description> + + <examples> + <example>iosockstream_ex.cpp.html</example> + <example>sockets_ex.cpp.html</example> + <example>sockstreambuf_ex.cpp.html</example> + <example>server_http_ex.cpp.html</example> + <example>server_iostream_ex.cpp.html</example> + </examples> + + <implementations> + <implementation> + <name>sockets_kernel_1</name> + <file>dlib/sockets/sockets_kernel_1.h</file> + <description> + MS Windows implementation + </description> + + </implementation> + <implementation> + <name>sockets_kernel_2</name> + <file>dlib/sockets/sockets_kernel_2.h</file> + <description> + POSIX implementation + </description> + + </implementation> + </implementations> + + + <extensions> + <extension> + <name>sockets_extensions</name> + <spec_file>dlib/sockets/sockets_extensions_abstract.h</spec_file> + <description> + This is just some miscellaneous extensions to the socket api. + </description> + </extension> + + </extensions> + + + </component> + + + + <!-- ************************************************************************* --> + + <component> + <name>threads</name> + <file>dlib/threads.h</file> + <spec_file>dlib/threads/threads_kernel_abstract.h</spec_file> + <description> + This is a set of objects that provides an easy to use and object oriented interface + for creating multi-threaded programs. There are currently two implementations, one + for UNIX and another for any variant of MS Windows after Windows 95. Both provide + the exact same interface so programs written with them can be recompiled on either + platform without a problem. + <p> + You also probably want to take note of the <a href="other.html#pipe">pipe</a> object. + It provides an easy to use typesafe mechanism to send messages between threads. + </p> + </description> + + <examples> + <example>threads_ex.cpp.html</example> + <example>logger_ex_2.cpp.html</example> + <example>pipe_ex.cpp.html</example> + <example>multithreaded_object_ex.cpp.html</example> + <example>threaded_object_ex.cpp.html</example> + <example>thread_function_ex.cpp.html</example> + <example>thread_pool_ex.cpp.html</example> + </examples> + + <implementations> + <implementation> + <name>threads_kernel_1</name> + <file>dlib/threads/threads_kernel_1.h</file> + <description> + MS Windows implementation + </description> + + </implementation> + <implementation> + <name>threads_kernel_2</name> + <file>dlib/threads/threads_kernel_2.h</file> + <description> + POSIX implementation + </description> + + </implementation> + </implementations> + + + <extensions> + <extension> + <name>rsignaler</name> + <spec_file>dlib/threads/rsignaler_extension_abstract.h</spec_file> + <description> + This extension adds a signaler object that can be used with the rmutex object. + Also note that this extension is included by dlib/threads.h so you don't have to include + anything extra to get it. + </description> + </extension> + + + <extension> + <name>thread_specific_data</name> + <spec_file>dlib/threads/thread_specific_data_extension_abstract.h</spec_file> + <description> + This extension adds the ability to easily create thread specific data. + </description> + </extension> + + + <extension> + <name>rmutex</name> + <spec_file>dlib/threads/rmutex_extension_abstract.h</spec_file> + <description> + This extension adds a mutex object that can handle recursive calls + to lock(). + Also note that this extension is included by dlib/threads.h so you don't have to include + anything extra to get it. + </description> + </extension> + + <extension> + <name>read_write_mutex</name> + <spec_file>dlib/threads/read_write_mutex_extension_abstract.h</spec_file> + <description> + This extension adds a mutex object that can perform both normal "write locks" as well as "readonly locks". + See the specification for details. + Also note that this extension is included by dlib/threads.h so you don't have to include + anything extra to get it. + </description> + </extension> + + <extension> + <name>create_new_thread_extension</name> + <spec_file>dlib/threads/create_new_thread_extension_abstract.h</spec_file> + <description> + This extension adds some templated overloads to the + <a href="dlib/threads/threads_kernel_abstract.h.html#create_new_thread">create_new_thread()</a> function. They allow you to create new threads using member functions from a class. + Also note that this extension is included by dlib/threads.h so you don't have to include + anything extra to get it. + </description> + + + </extension> + + <extension> + <name>auto_mutex</name> + <spec_file>dlib/threads/auto_mutex_extension_abstract.h</spec_file> + <description> + This extension adds a mechanism to automatically lock and unlock a mutex. + Also note that this extension is included by dlib/threads.h so you don't have to include + anything extra to get it. + </description> + + <examples> + <example>threads_ex.cpp.html</example> + </examples> + + </extension> + + <extension> + <name>auto_mutex_readonly</name> + <spec_file link="true">dlib/threads/auto_mutex_extension_abstract.h</spec_file> + <description> + This extension adds a mechanism to automatically perform a readonly lock and unlock + of a <a href="#read_write_mutex">read_write_mutex</a>. + Also note that this extension is included by dlib/threads.h so you don't have to include + anything extra to get it. + </description> + </extension> + + <extension> + <name>auto_unlock_readonly</name> + <spec_file link="true">dlib/threads/auto_unlock_extension_abstract.h</spec_file> + <description> + This extension adds a mechanism to automatically remove a readonly unlock from a <a href="#read_write_mutex">read_write_mutex</a>. + Also note that this extension is included by dlib/threads.h so you don't have to include + anything extra to get it. + </description> + </extension> + + <extension> + <name>thread_function</name> + <spec_file>dlib/threads/thread_function_extension_abstract.h</spec_file> + <description> + This object represents a thread on a global C++ function. That is, it allows you + to run a global function in its own thread. + </description> + + <examples> + <example>thread_function_ex.cpp.html</example> + </examples> + + + </extension> + + <extension> + <name>threaded_object</name> + <spec_file>dlib/threads/threaded_object_extension_abstract.h</spec_file> + <description> + This extension represents a simple threaded object. It provides a convenient + mechanism to create an object that contains a thread. + </description> + + <examples> + <example>threaded_object_ex.cpp.html</example> + </examples> + + + </extension> + + <extension> + <name>thread_pool</name> + <spec_file link="true">dlib/threads/thread_pool_extension_abstract.h</spec_file> + <description> + <p> + This object represents a fixed size group of threads which you can + submit tasks to and then wait for those tasks to be completed. It also + provides a <a href="dlib/threads/thread_pool_extension_abstract.h.html#future">future</a> object + that provides a container which allows you to safely pass objects into the tasks. + </p> + The implementation of this extension can be found + <a href="dlib/threads/thread_pool_extension.h.html">here</a>. It is + implemented such that no memory allocations occur after the thread pool + has been constructed so long as the user doesn't call + any of the add_task_by_value() routines. The future object also doesn't + perform any memory allocations or contain any system resources such as mutex objects. + </description> + + <examples> + <example>thread_pool_ex.cpp.html</example> + </examples> + </extension> + + <extension> + <name>default_thread_pool</name> + <spec_file link="true">dlib/threads/async_abstract.h</spec_file> + <description> + This function returns a reference to a global <a href="#thread_pool">thread_pool</a>. If the DLIB_NUM_THREADS + environment variable is set to an integer then the thread pool will contain + DLIB_NUM_THREADS threads, otherwise it will contain + std::thread::hardware_concurrency() threads. + </description> + </extension> + + <extension> + <name>async</name> + <spec_file link="true">dlib/threads/async_abstract.h</spec_file> + <description> + This function behaves just like std::async() + except that instead of spawning a new thread to process each task it submits + the task to a <a href="#thread_pool">dlib::thread_pool</a>. Therefore, dlib::async() is + guaranteed to use a bounded number of threads unlike std::async(). This also + means that calls to dlib::async() will block if there aren't any free threads + in the thread pool. + </description> + </extension> + + <extension> + <name>parallel_for</name> + <spec_file>dlib/threads/parallel_for_extension_abstract.h</spec_file> + <description> + This is a set of functions for executing the contents of a for loop in parallel. + It is useful for taking advantage of multi-processor systems. + </description> + <examples> + <example>parallel_for_ex.cpp.html</example> + </examples> + </extension> + + <extension> + <name>multithreaded_object</name> + <spec_file>dlib/threads/multithreaded_object_extension_abstract.h</spec_file> + <description> + This object represents a multithreaded object. It is similar to + the <a href="#threaded_object">threaded_object</a> except it allows you to have many threads in a + single object rather than just one. + </description> + + <examples> + <example>multithreaded_object_ex.cpp.html</example> + <example>pipe_ex.cpp.html</example> + </examples> + </extension> + + <extension> + <name>auto_unlock</name> + <spec_file>dlib/threads/auto_unlock_extension_abstract.h</spec_file> + <description> + This extension adds a mechanism to automatically unlock a mutex. + Also note that this extension is included by dlib/threads.h so you don't have to include + anything extra to get it. + </description> + + + </extension> + </extensions> + + + + </component> + + + + + <!-- ************************************************************************* --> + + <component> + <name>gui_widgets</name> + <file>dlib/gui_widgets.h</file> + <description> + <p> + This component is a collection of various windowing widgets such as buttons, + labels, text boxes, and so on. It also includes the drawable + interface, drawable_window, and font handling objects. + <a href="dlib/gui_widgets/widgets_abstract.h.html">dlib/gui_widgets/widgets_abstract.h</a> + defines all of the high level graphical widgets provided by this + component that can appear in a drawable_window. To view the specifications for the other members of this + component look at <a href="dlib/gui_widgets/fonts_abstract.h.html">dlib/gui_widgets/fonts_abstract.h</a>, + <a href="dlib/gui_widgets/drawable_abstract.h.html">dlib/gui_widgets/drawable_abstract.h</a>, + and <a href="dlib/gui_widgets/base_widgets_abstract.h.html">dlib/gui_widgets/base_widgets_abstract.h</a>. + </p> + <p>This component isn't actually a wrapper on top of OS APIs. Rather, it is + implemented on top of the <a href="#gui_core">gui_core</a> + component. I put it on this page just because I expect that people would + look here when searching for the sort of functionality provided by this component. + </p> + + + <center><h2>Primary widgets</h2></center> + <table> + <tr> + <td><a href="dlib/gui_widgets/base_widgets_abstract.h.html#button"><img src="guipics/button.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#check_box"><img src="guipics/check_box.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#radio_button"><img src="guipics/radio_button.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#label"><img src="guipics/label.png"/></a></td> + </tr> + <tr> + <td><a href="dlib/gui_widgets/base_widgets_abstract.h.html#scroll_bar"><img src="guipics/scroll_bar.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#text_field"><img src="guipics/text_field.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#text_box"><img src="guipics/text_box.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#text_grid"><img src="guipics/text_grid.png"/></a></td> + </tr> + <tr> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#list_box"><img src="guipics/list_box.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#menu_bar"><img src="guipics/menu_bar.png"/></a></td> + <td><a href="dlib/gui_widgets/base_widgets_abstract.h.html#popup_menu"><img src="guipics/popup_menu.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#tabbed_display"><img src="guipics/tabbed_display.png"/></a></td> + </tr> + <tr> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#named_rectangle"><img src="guipics/named_rectangle.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#image_window"><img src="guipics/image_window.jpg"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#directed_graph_drawer"><img src="guipics/directed_graph_drawer.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#mouse_tracker"><img src="guipics/mouse_tracker.png"/></a></td> + </tr> + <tr> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#message_box"><img src="guipics/message_box.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#open_existing_file_box"><img src="guipics/open_existing_file_box.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#open_file_box"><img src="guipics/open_file_box.png"/></a></td> + <td><a href="dlib/gui_widgets/widgets_abstract.h.html#save_file_box"><img src="guipics/save_file_box.png"/></a></td> + </tr> + <tr> + <td colspan='3'><a href="dlib/gui_widgets/widgets_abstract.h.html#perspective_window"><img src="guipics/perspective_window.png"/></a></td> + </tr> + </table> + + </description> + + <examples> + <example>gui_api_ex.cpp.html</example> + <example>image_ex.cpp.html</example> + <example>3d_point_cloud_ex.cpp.html</example> + <example>surf_ex.cpp.html</example> + <example>bayes_net_gui_ex.cpp.html</example> + </examples> + </component> + + + + <!-- ************************************************************************* --> + + </components> + + <!-- ************************************************************************* --> + + +</doc> diff --git a/ml/dlib/docs/docs/bayes.xml b/ml/dlib/docs/docs/bayes.xml new file mode 100644 index 000000000..2ed11fe1d --- /dev/null +++ b/ml/dlib/docs/docs/bayes.xml @@ -0,0 +1,377 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Bayesian Networks</title> + + <!-- ************************************************************************* --> + + <body> + + <p> + This page documents all the tools within the dlib library that relate + to the construction and evaluation of Bayesian networks. If you want + a quick introduction to the tools then you should consult the + Bayesian Net <a href="bayes_net_ex.cpp.html">example program</a>. + + </p> + <p> + The + library also comes with a graphical application to assist in the + creation of bayesian networks. This application is one of the + <a href="bayes_net_gui_ex.cpp.html">example programs</a>, so to use it + you have to compile it yourself. + </p> + + </body> + + <!-- ************************************************************************* --> + + <menu width="150"> + <top> + <section> + <name>Tools</name> + <item>assignment</item> + <item>joint_probability_table</item> + <item>conditional_probability_table</item> + <item>bayes_node</item> + <item>bayesian_network_gibbs_sampler</item> + <item>bayesian_network_join_tree</item> + + </section> + + <section> + <name>Node Utilities</name> + <item>set_node_value</item> + <item>node_value</item> + <item>node_is_evidence</item> + <item>set_node_as_evidence</item> + <item>set_node_as_nonevidence</item> + <item>set_node_num_values</item> + <item>node_num_values</item> + <item>node_probability</item> + <item>set_node_probability</item> + <item>node_first_parent_assignment</item> + <item>node_next_parent_assignment</item> + <item>node_cpt_filled_out</item> + + </section> + + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + <!-- ************************************************************************* --> + + <component> + <name>bayesian_network_join_tree</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This object represents an implementation of the join tree algorithm + (a.k.a. the junction tree algorithm) + for inference in bayesian networks. + </description> + <examples> + <example>bayes_net_ex.cpp.html</example> + <example>bayes_net_gui_ex.cpp.html</example> + <example>bayes_net_from_disk_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>bayesian_network_gibbs_sampler</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This object performs Markov Chain Monte Carlo sampling of a bayesian + network using the Gibbs sampling technique. + </description> + <examples> + <example>bayes_net_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>bayes_node</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This object represents a node in a bayesian network. It is + intended to be used inside the <a href="containers.html#directed_graph">directed_graph</a> object to + represent bayesian networks. + </description> + + <examples> + <example>bayes_net_ex.cpp.html</example> + <example>bayes_net_gui_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>conditional_probability_table</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This object represents a conditional probability table. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>joint_probability_table</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This object represents a joint probability table. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>assignment</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This object models an assignment of random variables to particular values. + It is used with the <a href="#joint_probability_table">joint_probability_table</a> and + <a href="#conditional_probability_table">conditional_probability_table</a> + objects to represent assignments of various random variables to actual values. + </description> + <examples> + <example>bayes_net_ex.cpp.html</example> + <example>bayes_net_gui_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>set_node_probability</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily set the probability of a + <a href="#bayes_node">bayes_node</a> given its parents when it is inside + a <a href="containers.html#directed_graph">directed_graph</a> object. + </description> + <examples> + <example>bayes_net_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>node_first_parent_assignment</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily obtain an <a href="#assignment">assignment</a> + that contains all the parents of a node in a bayesian network. + </description> + <examples> + <example>bayes_net_gui_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>node_next_parent_assignment</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily loop through all the parent <a href="#assignment">assignments</a> + of a node in a bayesian network. + </description> + <examples> + <example>bayes_net_gui_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>node_cpt_filled_out</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily verify that a node + in a bayesian network has its <a href="#conditional_probability_table">conditional_probability_table</a> + completely filled out. + </description> + <examples> + <example>bayes_net_gui_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>node_probability</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily obtain the probability of a + <a href="#bayes_node">bayes_node</a> given its parents when it is inside + a <a href="containers.html#directed_graph">directed_graph</a> object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>node_num_values</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily obtain the number of values of a + <a href="#bayes_node">bayes_node</a> when it is inside + a <a href="containers.html#directed_graph">directed_graph</a> object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>set_node_num_values</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily set the number of values of a + <a href="#bayes_node">bayes_node</a> when it is inside + a <a href="containers.html#directed_graph">directed_graph</a> object. + </description> + <examples> + <example>bayes_net_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>set_node_as_nonevidence</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily remove the evidence flag of a + <a href="#bayes_node">bayes_node</a> when it is inside + a <a href="containers.html#directed_graph">directed_graph</a> object. + </description> + <examples> + <example>bayes_net_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>set_node_as_evidence</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily set the evidence flag of a + <a href="#bayes_node">bayes_node</a> when it is inside + a <a href="containers.html#directed_graph">directed_graph</a> object. + </description> + <examples> + <example>bayes_net_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>node_is_evidence</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily determine if a + <a href="#bayes_node">bayes_node</a> is evidence when it is inside + a <a href="containers.html#directed_graph"> directed_graph</a> object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>node_value</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily obtain the value of a + <a href="#bayes_node">bayes_node</a> when it is inside a <a href="containers.html#directed_graph"> + directed_graph</a> object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>set_node_value</name> + <file>dlib/bayes_utils.h</file> + <spec_file link="true">dlib/bayes_utils/bayes_utils_abstract.h</spec_file> + <description> + This is a function declared in the dlib::bayes_node_utils namespace. It + is a convenience function that allows you to easily modify the value of a + <a href="#bayes_node">bayes_node</a> when it is inside a <a href="containers.html#directed_graph"> + directed_graph</a> object. + </description> + <examples> + <example>bayes_net_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + </components> + + <!-- ************************************************************************* --> + + +</doc> + + diff --git a/ml/dlib/docs/docs/bayesopt_vs_lipo.svg b/ml/dlib/docs/docs/bayesopt_vs_lipo.svg new file mode 100644 index 000000000..f88f4ab5a --- /dev/null +++ b/ml/dlib/docs/docs/bayesopt_vs_lipo.svg @@ -0,0 +1,21764 @@ +<?xml version="1.0" encoding="UTF-8" standalone="no"?> +<svg + xmlns:dc="http://purl.org/dc/elements/1.1/" + xmlns:cc="http://creativecommons.org/ns#" + xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" + xmlns:svg="http://www.w3.org/2000/svg" + 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differnew file mode 100644 index 000000000..6bee68e21 --- /dev/null +++ b/ml/dlib/docs/docs/bigplus.gif diff --git a/ml/dlib/docs/docs/books.xml b/ml/dlib/docs/docs/books.xml new file mode 100644 index 000000000..cda81bd86 --- /dev/null +++ b/ml/dlib/docs/docs/books.xml @@ -0,0 +1,306 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Suggested Books</title> + + + + <!-- ************************************************************************* --> + + <body> + + <p> + One of the major goals of dlib is to have documentation that enables + someone to easily make use of its various components. Ideally, + you would read a short description of something, understand it immediately, + and begin using it in your application without any difficulty. Obviously, this + depends partly on the background of the user. For example, if you have + never written C++ software before then it probably isn't going to be this easy. + </p> + <p> + This page is meant to complement the main library documentation by providing + references to books, along with my commentary, which explain most of + the background material needed to understand the various parts of the library. + In most cases these are the books I learned from during the process + of creating dlib. As always, if you disagree with anything or think I have left out + an important text then shoot me an <a href="mailto:davis@dlib.net">email</a>. + </p> + <br/><br/> + + + <h2>General Programming</h2> + <ul> + <h3>C++</h3> + <ul> + <li> <i>Programming: Principles and Practice Using C++</i> by Bjarne Stroustrup + <ul> This is the sort of book you would use in a freshman introduction-to-programming class. + So if you are just beginning to study programming and are interested in C++ then I think + it is probably safe to say this is one of the best books you could read. </ul> <br/> + </li> + <li> <i>Accelerated C++: Practical Programming by Example</i> by Andrew Koenig and Barbara E. Moo + <ul> If you are new to C++ but already know how to program then this is a great book. It's also + about one fourth the size of the Stroustrup book. </ul> <br/> + </li> + <li> <i>Effective C++: 55 Specific Ways to Improve Your Programs and Designs</i> (3rd Edition) by Scott Meyers + <ul> This is a great intermediate level C++ book. Most people have heard the jokes about + how easy it is to shoot yourself in the foot with C++. This book explains many things you + need to know about the language to avoid doing so on a regular basis. So if you are + writing C++ software then this is a must-read. I would even claim that + you are a danger to the C++ software you touch unless you know what is in this book. + I'm not kidding. Finally, the book isn't just about the quirks of C++. It also discusses many general + software engineering ideas which have wide applicability. So in this + respect it is a great book for any software developer to read. + </ul><br/> + </li> + <li> <i>More Effective C++: 35 New Ways to Improve Your Programs and Designs</i> by Scott Meyers + <ul> Consider this an expansion to Effective C++. If you are going to read the above + book then you would almost certainly benefit from reading this one as well. + </ul><br/> + </li> + <li> <i>The C++ Standard Library: A Tutorial and Reference</i> by Nicolai M. Josuttis + <ul> If you are going to buy a reference book on the C++ standard library then this + is the one to get. I think you + will find it is better than any of the available online references. So if you find + yourself frustrated with the online resources, then this is the book for you. + </ul><br/> + </li> + <li> <a href="http://www.cplusplus.com/reference/">Online C++ Standard Library Reference</a> + <ul> What I said aside, this is a good online reference. I often find myself referring to it + when I do not have the Josuttis book on hand. + </ul><br/> + </li> + </ul> + + + <h3>Multithreading</h3> + <ul> + <li> <i>Programming with POSIX Threads</i> by David R. Butenhof + <ul> When I was an undergrad, this book was my main resource for learning about multithreading. + It was enjoyable to read, as are all the books on this list, and covered everything + in great depth without becoming overbearing. Also, despite what the title may suggest, + this book is useful for understanding multithreading broadly, not just multithreading + on POSIX systems. + </ul><br/> + </li> + </ul> + + <h3>Network Programming</h3> + <ul> + <li> <i>Unix Network Programming, Volume 1: The Sockets Networking API</i> (3rd Edition) + by W. Richard Stevens + <ul> A lot of people call this book the network programming Bible and + this praise is well deserved. If you want a deep understanding of how computer networks + function, including the Internet, then this is the book to read. As with + the Butenhof book above, this is an excellent choice even for people who do not + intend to write software for Unix systems. + </ul><br/> + </li> + </ul> + + <h3>WIN32 Programming</h3> + It has been a long time since I needed to refer to these two books. However, + they contained information I couldn't find elsewhere no matter + how hard I looked. So I recommend them in case you need to create or understand + some low level win32 code. + <br/> + <br/> + <ul> + <li> <i>Win32 Programming</i> by Brent E. Rector and Joseph M. Newcomer </li> + <li> <i>Programming Windows</i> by Charles Petzold </li> + <li> <a href="http://msdn.microsoft.com/en-us/library/default.aspx">MSDN Library</a> + <ul> This is Microsoft's online reference documentation. It is very large and sometimes + confusing. But at the end of the day you should be able to find the documentation + for just about every function in the entire Windows API. + </ul><br/> + </li> + </ul> + </ul> + + + + + + <h2>Computer Science: Algorithms and Data Structures</h2> + <ul> + <li> <i>Introduction to Algorithms</i> by Cormen, Leiserson, Rivest and Stein + <ul> You should get this book if you are looking for a good discussion of the classic computer science + algorithms and data structures (e.g. most of the components on the <a href="containers.html">containers</a> + page). + </ul><br/> + </li> + <li> <i>Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching</i> + (3rd Edition) by Robert Sedgewick + <ul> This is another good algorithms book. If you are going to get only one book on this + subject then get the one above. However, when I was learning about these topics I + used both these books and on many occasions I found it helpful to read the description + of an algorithm or data structure in both. Where one description was a little vague or + confusing the other generally filled in the gaps. + </ul><br/> + </li> + </ul> + + + + <h2>Lossless Data Compression</h2> + <ul> + <li> <i>Text Compression</i> by Bell, Cleary, and Witten + <ul> When I was studying data compression this was my most useful + resource. If you are looking to understand how lossless data compression + algorithms work then this is the book you want. It is completely self-contained + and an absolute joy to read. Note that contrary to one of the reviews on + amazon.com, the book <i>Managing Gigabytes</i> is not the second edition of this book; + if this topic interests you then be sure you get the 318 page + book published in 1990. + </ul><br/> + </li> + </ul> + + + + <h2>General Math</h2> + + <ul> + <li> <i>Linear Algebra Done Right</i> by Sheldon Jay Axler + <ul> If a matrix seems like an arbitrary grid of numbers or you find that + you are confused by vectors, matrices, and the various things + that get done with them then this book will change your whole view of this subject. + It doesn't teach you any algorithms. Instead, it will give you a general + framework in which to think about all this stuff. Once you have that down + everything else will start to make a lot more sense. If all goes well + you will even start to agree with the following: linear algebra is beautiful. :) + </ul><br/> + </li> + <li> <i>Numerical Linear Algebra</i> by Trefethen and Bau + <ul> While <i>Linear Algebra Done Right</i> is fairly abstract, this book by + Trefethen and Bau will + explain some of the actual algorithms that are often used. + This is a great second book if you find that you want to know more about + the SVD, LU decomposition, or various other algorithms involving linear algebra. + </ul><br/> + </li> + <li> <i>Calculus: Single and Multivariable</i> by Hughes-Hallett, Gleason, and McCallum + <ul> + Some of the books below will require and understanding of basic calculus. So + I'm recommending this book. It was the book I used as an undergrad and I + remember it being alright. That isn't exactly a glowing review so if you + are really considering buying a calculus book you may want to check out + other reviews before picking this one. + </ul><br/> + </li> + <li> <i>Introduction to Real Analysis</i> (third edition) by Bartle and Sherbert + <ul> At some level real analysis is like a really rigorous repeat of calculus. + So if you already have an undergraduate education in calculus and + you are reading things that seem reminiscent of calculus but involve + stuff you haven't seen before (e.g. sup, inf, "sets of numbers", sequences of points) + then you may be in need of a real analysis book. This one is quite good and should + be accessible to someone with the usual undergraduate computer science math background. + </ul><br/> + </li> + </ul> + + + + + + <h2>Optimization</h2> + + The subject of linear algebra is fundamental to optimization. So you must be familiar + with the contents of a book like <i>Linear Algebra Done Right</i> if you are going to study + this area. You will also need to know how to find the derivative of a function and + understand what a derivative is all about. So you will need to know a little bit of + calculus. Finally, once in a while you will need to know a little bit about real + analysis. Ultimately, what you need all depends on how deep you want to go. + + <ul> + <li> <i>Practical Methods of Optimization</i> (second edition) by R. Fletcher 1987 + <ul> I love this book. When I got it I literally spent my weekends sitting around + reading it for hours. It is a fascinating and well written introduction to + the subject of optimization. This has been my most valuable resource for + learning the fundamentals of optimization and I cannot recommend it highly enough. + </ul><br/> + </li> + <li> <i>Numerical Optimization</i> by Jorge Nocedal and Stephen Wright 2006 + <ul> This is a more recent text on optimization that is also very good. It + covers many algorithms not covered by the above book. + </ul><br/> + </li> + <li> <i>Introduction to Derivative-Free Optimization</i> by Conn, Scheinberg, and Vicente + <ul> If you want to understand algorithms like <a href="optimization.html#find_min_bobyqa">BOBYQA</a> + then this is a good recent book on the subject. Note that a book like <i>Practical Methods of Optimization</i> + is almost certainly a prerequisite for reading this book. As an aside, BOBYQA is not discussed in this book but + its predecessor, NEWUOA is. + </ul><br/> + </li> + </ul> + + + + + <h2>Machine Learning</h2> + + <ul> + <li> <i>Artificial Intelligence: A Modern Approach </i> (3rd Edition) by Stuart Russell and Peter Norvig + <ul> This book is about the much broader field of AI but it contains an excellent introduction + to machine learning and it also covers other useful topics like <a href="bayes.html">bayesian networks</a>. + Moreover, it is very well written and self-contained. So you don't need any particular + background to be able to learn from it apart from a typical undergraduate background + in computer science. + </ul><br/> + </li> + <li> <i>Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond </i> + by Bernhard Schlkopf and Alexander J. Smola + <ul> Most of the machine learning tools in dlib are implementations of various kernel methods. + So if you want a book that covers this topic in great depth as well as breadth then this is + probably the book for you. The most important prerequisite for this book is linear + algebra. Virtually everything in this book depends on linear algebra in a fundamental way. + <p> + The second important subject is optimization. Whenever you see the text + mention the KKT conditions, duality, "primal variables", or quadratic programming it + is talking about ideas from optimization. A good book which will explain all this to you + is <i>Practical Methods of Optimization</i>. Note that this book calls the KKT conditions + just the "KT" conditions. It is talking about the same thing. Also, duality + is something that comes up a lot in optimization but in the context of machine learning + usually people are talking about a particular form known as the Wolfe Dual. + </p> + It would also be good (but maybe not critical depending on which parts you want to read) to + be familiar with real analysis. + </ul><br/> + </li> + <li> <i>Kernel Methods for Pattern Analysis </i> by John Shawe-Taylor and Nello Cristianini + <ul> This is another good book about kernel methods. If you have to choose between + this book and <i>Learning with Kernels</i> I would go with <i>Learning with Kernels</i>. However, it is + good to have both since reading different presentations of difficult subjects + usually makes learning them easier. + </ul><br/> + </li> + + <li> <i>Structured Prediction and Learning in Computer Vision</i> by Sebastian Nowozin and Christoph H. Lampert 2011 + <ul> If you are looking for a book discussing the background material necessary + for understanding things like the <a href="ml.html#structural_svm_problem">Structural SVM</a> + tools in dlib then this is a good book. It is also available online + in <a href="http://www.nowozin.net/sebastian/papers/nowozin2011structured-tutorial.pdf">PDF form</a>. + </ul><br/> + </li> + + </ul> + + <h2>Image Processing</h2> + <ul> + <li> <i>Digital Image Processing</i> by Rafael C. Gonzalez and Richard E. Woods + <ul> This is a terrific introduction to digital image processing. + By and large this book doesn't require any special prerequisites. Sometimes + calculus shows up, but not too much. + </ul><br/> + </li> + </ul> + + + </body> + + + + <!-- ************************************************************************* --> + +</doc> + diff --git a/ml/dlib/docs/docs/boost.png b/ml/dlib/docs/docs/boost.png Binary files differnew file mode 100644 index 000000000..b4d51fcd5 --- /dev/null +++ b/ml/dlib/docs/docs/boost.png diff --git a/ml/dlib/docs/docs/change_log.xml b/ml/dlib/docs/docs/change_log.xml new file mode 100644 index 000000000..6088c869e --- /dev/null +++ b/ml/dlib/docs/docs/change_log.xml @@ -0,0 +1,11 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Change Log</title> + <body from_file="log.txt"> + <br/> + <center><a href="old_change_log.html">Old Change Logs</a></center> + <br/> + </body> +</doc> diff --git a/ml/dlib/docs/docs/chm/READ THE README. DO NOT EDIT THE TABLE OF CONTENTS FILE b/ml/dlib/docs/docs/chm/READ THE README. 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DO NOT EDIT THE TABLE OF CONTENTS FILE3 diff --git a/ml/dlib/docs/docs/chm/README.txt b/ml/dlib/docs/docs/chm/README.txt new file mode 100644 index 000000000..ce1e21ee1 --- /dev/null +++ b/ml/dlib/docs/docs/chm/README.txt @@ -0,0 +1,5 @@ +The Table of Contents.hhc file is auto generated by the toc.xml and htmlhelp_stylesheet.xsl files. +You really can edit it if you want but I suggest you use the stylesheet to auto generate it instead. + +If you want to regenerate the table of contents file you can do so with +the command "msxsl toc.xml htmlhelp_stylesheet.xsl" if you are using msxsl.exe.
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b/ml/dlib/docs/docs/chm/htmlhelp_stylesheet.xsl new file mode 100644 index 000000000..8b101f986 --- /dev/null +++ b/ml/dlib/docs/docs/chm/htmlhelp_stylesheet.xsl @@ -0,0 +1,223 @@ +<?xml version="1.0" encoding="ISO-8859-1" ?> +<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"> + <xsl:output method='html' version='1.0' encoding='UTF-8' indent='yes' /> + + + <xsl:variable name="main_menu" select="/htmlhelp_toc/main_menu_file"/> + <xsl:variable name="docs" select="/htmlhelp_toc/docs_folder"/> + <xsl:variable name="show_include_file" select="/htmlhelp_toc/show_include_file"/> + + <!-- ************************************************************************* --> + <xsl:variable name="lcletters">abcdefghijklmnopqrstuvwxyz </xsl:variable> + <xsl:variable name="ucletters">ABCDEFGHIJKLMNOPQRSTUVWXYZ </xsl:variable> + <!-- ************************************************************************* --> + + + <xsl:template match="/htmlhelp_toc"> + <HTML> + <HEAD> + </HEAD><BODY> + <UL> + + + <xsl:apply-templates select="document($main_menu)/doc/menu"/> + + + + + + + + </UL> + </BODY></HTML> + </xsl:template> + + + + + + <!-- ************************************************************************* --> + + + <xsl:template match="section"> + <xsl:param name="html_file" /> + <xsl:param name="xml_file" /> + + <xsl:choose> + <xsl:when test="count(/doc/menu/top/section) != 1"> + <LI> <OBJECT type="text/sitemap"> + <param name="Name" value="{name}"/> + </OBJECT> + </LI> + <UL> + <xsl:for-each select="item | chm/item"> + <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> + <xsl:apply-templates select="."> + <xsl:with-param name="xml_file" select="$xml_file"/> + <xsl:with-param name="html_file" select="$html_file"/> + </xsl:apply-templates> + </xsl:for-each> + </UL> + </xsl:when> + <xsl:otherwise> + <xsl:for-each select="item | chm/item"> + <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> + <xsl:apply-templates select="."> + <xsl:with-param name="xml_file" select="$xml_file"/> + <xsl:with-param name="html_file" select="$html_file"/> + </xsl:apply-templates> + </xsl:for-each> + </xsl:otherwise> + </xsl:choose> + </xsl:template> + + <!-- ************************************************************************* --> + + <xsl:template match="menu"> + <xsl:param name="html_file" /> + <xsl:param name="xml_file" /> + <xsl:for-each select="top/section"> + <xsl:apply-templates select="."> + <xsl:with-param name="xml_file" select="$xml_file"/> + <xsl:with-param name="html_file" select="$html_file"/> + </xsl:apply-templates> + </xsl:for-each> + </xsl:template> + + <!-- ************************************************************************* --> + <xsl:template match="item"> + <xsl:param name="html_file" /> + <xsl:param name="xml_file" /> + <xsl:choose> + <xsl:when test="name != ''"> + <LI><OBJECT type="text/sitemap"> + <param name="Name" value="{name}"/> + <xsl:choose> + <xsl:when test="link"> + <param name="Local" value="{$docs}\{link}"/> + </xsl:when> + <xsl:when test="@nolink = 'true'"> + </xsl:when> + <xsl:otherwise> + <param name="Local" value="{$docs}\{$html_file}#{name}"/> + </xsl:otherwise> + </xsl:choose> + + </OBJECT> + </LI> + + <xsl:choose> + <xsl:when test="sub"> + <UL> + <xsl:for-each select="sub/item"> + <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> + <xsl:apply-templates select="."> + <xsl:with-param name="xml_file" select="$xml_file"/> + <xsl:with-param name="html_file" select="$html_file"/> + </xsl:apply-templates> + </xsl:for-each> + </UL> + </xsl:when> + <xsl:when test="chm_sub"> + <UL> + <xsl:apply-templates select="document(chm_sub)/doc/menu"> + <xsl:with-param name="xml_file" select="chm_sub"/> + <xsl:with-param name="html_file" select="link"/> + </xsl:apply-templates> + </UL> + </xsl:when> + </xsl:choose> + </xsl:when> + <xsl:when test="@nolink = 'true'"> + </xsl:when> + <xsl:otherwise> + <LI><OBJECT type="text/sitemap"> + <param 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value="{$docs}\{file}.html"/> + </OBJECT> + </LI> + </xsl:when> + <xsl:when test="spec_file != file"> + <LI> <OBJECT type="text/sitemap"> + <param name="Name" value="include file"/> + <param name="Local" value="{$docs}\{file}.html"/> + </OBJECT> + </LI> + </xsl:when> + </xsl:choose> + </xsl:if> + </xsl:if> + <xsl:if test="body_file"> + <LI> <OBJECT type="text/sitemap"> + <param name="Name" value="body"/> + <param name="Local" value="{$docs}\{body_file}.html#{name}"/> + </OBJECT> + </LI> + </xsl:if> + <xsl:if test="extensions"> + <LI> <OBJECT type="text/sitemap"> + <param name="Name" value="extensions"/> + </OBJECT> + </LI> + <UL> + <xsl:for-each select="extensions/extension"> + <LI> <OBJECT type="text/sitemap"> + <param name="Name" value="{name}"/> + <param name="Local" value="{$docs}\{spec_file}.html"/> + </OBJECT> + </LI> + </xsl:for-each> + </UL> + </xsl:if> + </UL> + </xsl:if> + </xsl:for-each> + </xsl:otherwise> + </xsl:choose> + </xsl:template> + + <!-- ************************************************************************* --> + <xsl:template match="sub"> + <ul> + <xsl:for-each select="item"> + <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> + <xsl:apply-templates select="."/> + </xsl:for-each> + </ul> + </xsl:template> + + <!-- ************************************************************************* --> + + +</xsl:stylesheet> diff --git a/ml/dlib/docs/docs/chm/lib.hhp b/ml/dlib/docs/docs/chm/lib.hhp new file mode 100644 index 000000000..de5633f1d --- /dev/null +++ b/ml/dlib/docs/docs/chm/lib.hhp @@ -0,0 +1,77 @@ +[OPTIONS] +Binary TOC=Yes +Compatibility=1.1 or later +Compiled file=help.chm +Contents file=Table of Contents.hhc +Default topic=docs/index.html +Display compile progress=Yes +Full-text search=Yes +Language=0x409 English (United States) +Title=dLib + + +[FILES] +docs/guipics/button.png +docs/guipics/check_box.png +docs/guipics/directed_graph_drawer.png +docs/guipics/image_window.jpg +docs/guipics/label.png +docs/guipics/list_box.png +docs/guipics/menu_bar.png +docs/guipics/message_box.png +docs/guipics/mouse_tracker.png +docs/guipics/named_rectangle.png +docs/guipics/open_existing_file_box.png +docs/guipics/open_file_box.png +docs/guipics/popup_menu.png +docs/guipics/radio_button.png +docs/guipics/save_file_box.png +docs/guipics/scroll_bar.png +docs/guipics/tabbed_display.png +docs/guipics/text_box.png +docs/guipics/text_field.png +docs/guipics/text_grid.png +docs/api.html +docs/dlib/test/makefile +docs/right.gif +docs/down.gif +docs/plus.gif +docs/minus.gif +docs/change_log.html +docs/compile.html +docs/compress_stream_ex.cpp.html +docs/compression.html +docs/containers.html +docs/dir_nav_ex.cpp.html +docs/gui_api_ex.cpp.html +docs/index.html +docs/intro.html +docs/optimization.html +docs/kernel_1a.html +docs/kernel_1b.html +docs/kernel_1c.html +docs/kernel_1da.html +docs/kernel_1db.html +docs/kernel_1ea.html +docs/kernel_1eb.html +docs/kernel_1ec.html +docs/kernel_2a.html +docs/kernel_3a.html +docs/kernel_3b.html +docs/license.html +docs/network.html +docs/other.html +docs/metaprogramming.html +docs/imaging.html +docs/parsing.html +docs/queue_ex.cpp.html +docs/release_notes.html +docs/old_release_notes.html +docs/sockets_ex.cpp.html +docs/faq.html +docs/rbf_normal.gif +docs/rbf_big_gamma.gif +docs/rbf_small_gamma.gif + +[INFOTYPES] + diff --git a/ml/dlib/docs/docs/chm/toc.xml b/ml/dlib/docs/docs/chm/toc.xml new file mode 100644 index 000000000..37593b1ed --- /dev/null +++ b/ml/dlib/docs/docs/chm/toc.xml @@ -0,0 +1,10 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="htmlhelp_stylesheet.xsl"?> + +<htmlhelp_toc> + <docs_folder>docs</docs_folder> + <main_menu_file>../main_menu.xml</main_menu_file> + <show_include_file>false</show_include_file> +</htmlhelp_toc> + + diff --git a/ml/dlib/docs/docs/compile.xml b/ml/dlib/docs/docs/compile.xml new file mode 100644 index 000000000..bb21b3fa9 --- /dev/null +++ b/ml/dlib/docs/docs/compile.xml @@ -0,0 +1,227 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>How to compile</title> + + + + + + <!-- ************************************************************************* --> + + <body> + + <h2>Compiling C++ Example Programs on Any Operating System Using CMake</h2> + The best way to compile a program that uses dlib is to use <a href="http://www.cmake.org">CMake</a>. For + example, the following commands will compile the example programs on any operating + system: +<code_box> +cd examples +mkdir build +cd build +cmake .. +cmake --build . --config Release +</code_box> +Note that you also need to have a C++11 compiler installed on your system. There are free C++11 compilers +for most operating systems. For example, Visual Studio is free on Windows and GCC is free and +works well on Mac OS X and Linux systems. If you have multiple compilers/IDEs installed then you can +tell CMake which one you want it to use via the -G option. +<p> + The <a href="examples/CMakeLists.txt.html">examples/CMakeLists.txt</a> file tells CMake how to build + the examples. You can create your own projects by starting with this file and editing it however you like. + You can also perform additional configuration of a cmake project using the cmake-gui or ccmake tool. For example, + if you are using dlib's face detector then you should turn on either SSE4 or AVX instructions since this + makes it run much faster (also see <a href="faq.html#Whyisdlibslow">this FAQ</a>). +</p> +<p> + Finally, note that when using Visual Studio, CMake will by default generate a 32bit executable. + This means the programs you compile will only be able to use 2GB of RAM. To avoid this, you need + to tell CMake to generate a 64bit executable. You do this by using a command like + <code_box>cmake -G "Visual Studio 14 2015 Win64" -T host=x64 ..</code_box> instead of <code_box>cmake ..</code_box> + You can see the list of valid arguments to <tt>-G</tt> by running <tt>cmake</tt> with no options. Note also the <tt>-T host=x64</tt> + option, which tells Visual Studio to let the compiler use more than 2GB of RAM. That is important if you don't want the compiler to + crash from running out of RAM in some situations. +</p> + + +<br/> + <h2>Compiling Dlib's Python Interface</h2> + <p> + Go to the base folder of the dlib repository and run <tt>python setup.py install</tt>. That + should compile and install the dlib python API on your system. + </p> + <p> + Alternatively, if you want to add more python bindings to dlib's + python interface then you probably want to avoid the setup.py file + and work directly using CMake. In particular, dlib's python API is + built by the CMake project in the tools/python folder. You build + this project using the usual CMake commands and when compiled it + outputs the dlib shared library that defines the python API for dlib. + </p> +<br/> + + + <h2>Compiling C++ Examples Without CMake</h2> + + <p> + In most cases, to use this library all you have to do is extract it somewhere, make + sure the folder <i>containing</i> the dlib folder is in your include path, and + finally add dlib/all/source.cpp to your + project. It is worth noting that most of dlib is "header-only" which means that, in + many cases, you don't actually have to build dlib/all/source.cpp into your + application. So if you don't get linker errors when you exclude dlib/all/source.cpp + from your project then you don't need it. + </p> + <p> + An example makefile that uses this library can be found here: <a + href="dlib/test/makefile">dlib/test/makefile</a>. It is the makefile used to build + the regression test suite for this library. + </p> + <p> + Again, note that you should <b><i>not</i></b> add the dlib folder itself to your compiler's include path. + Doing so will cause the + build to fail because of name collisions (e.g. dlib/string.h with string.h from the standard library). + Instead you should add the folder that contains the dlib folder to your include search path and then use + include statements of the form <tt>#include <dlib/queue.h></tt>. This will ensure that everything + builds correctly. + </p> + <p> + Note also that if you want to work with jpeg/png/gif files using dlib then you will + need to link your program with libjpeg, libpng, and/or libgif. You also need to tell dlib + about this by defining the DLIB_JPEG_SUPPORT, DLIB_PNG_SUPPORT, and DLIB_GIF_SUPPORT preprocessor directives. + How you "link to libjpeg/libpng/libgif" varies from platform to platform. On UNIX machines you + usually just add a -ljpeg, -lpng, or -lgif switch to your compiler (after installing the libraries). + On windows it's less well defined. So dlib comes with a copy of libjpeg and libpng in the dlib/external + folder so you can statically compile them into your application if no system wide version + is available on your machine. If all this talk about linking is confusing to you then + just use CMake. It will set this all up for you. + </p> + <p> + Dlib is also capable of using any optimized BLAS or LAPACK libraries that are + installed on your system. Linking to these libraries will make many things run + faster. To do this you define the DLIB_USE_BLAS and/or DLIB_USE_LAPACK preprocessor + directives and then link your program with whatever BLAS or LAPACK libraries you + have. If you use CMake it will set this up automatically. + </p> + + + + + <h3>Compiling on Linux From Command Line</h3> + From within the examples folder, you can compile nearly all of the examples with a single command like so: +<code_box> +g++ -std=c++11 -O3 -I.. ../dlib/all/source.cpp -lpthread -lX11 example_program_name.cpp +</code_box> + Note that not all examples require this much work. For example, the svm_ex.cpp example + can be compiled with just: +<code_box> +g++ -std=c++11 -O3 -I.. svm_ex.cpp +</code_box> + +On non-Linux systems like Solaris, you might have to link to other libraries. For example, I have seen systems +where it was also necessary to supply -lnsl or -lsocket options to g++. Additionally, the X11 development +library isn't installed on Ubuntu by default. So if you require it and are using Ubuntu you can install +it by typing: +<code_box> +sudo apt-get install libx11-dev +</code_box> + + <h3>Compiling on Windows Using GCC</h3> + <p> + The commands for gcc on windows are the same as above but you may also have to link + (via the -l option) to the following libraries: gdi32, comctl32, user32, winmm, ws2_32, or imm32. + </p> + + <h3>Compiling on Windows Using Visual Studio 2015 or Newer</h3> + <p> + All you need to do is create an empty console project. Then add dlib/all/source.cpp to it and add the + folder containing the dlib folder to the #include search path. Then you can compile any example program + by adding it to your project. + </p> + <p> + Again, note that dlib will only be able to work with jpeg and png files if you link + in libjpeg and libpng. In Visual Studio, the easiest way to do this is to add all the + libjpeg, libpng, and zlib source files in the dlib/external folder into your project and also define the + DLIB_PNG_SUPPORT and DLIB_JPEG_SUPPORT preprocessor directives. If you don't know + how to configure Visual Studio then you should use CMake as shown above since it will + take care of everything automatically. + </p> + + + <br/> + <center><h1>Miscellaneous Preprocessor Directives</h1></center> + + <p> + In addition to the preprocessor directives mentioned above, there + are a few more you can supply during the build process to cause the + library to build in various optional ways. By default, the library + will always do something reasonable, but they are listed here in + the event that you need to use them. + </p> + + + <anchor>ENABLE_ASSERTS</anchor> + <h3>#define ENABLE_ASSERTS</h3> + <p> + Defining this directive causes all the <a href="metaprogramming.html#DLIB_ASSERT">DLIB_ASSERT</a> macros to + be active. If you are using Visual Studio or CMake then ENABLE_ASSERTS will be automatically enabled + for you when you compile in debug mode. However, if you are using a different build system then you + might have to manually enable it if you want to turn the asserts on. + </p> + + <anchor>DLIB_ISO_CPP_ONLY</anchor> + <h3>#define DLIB_ISO_CPP_ONLY</h3> + <p> + This is a #define directive that you can set to cause the library to exclude all non ISO C++ code (The things in the <a href="api.html">API wrappers</a> section and any objects that depend on those wrappers). + This is useful if you are trying to build on a system that isn't fully supported by the library or if you + just decide you don't want any of that stuff compiled into your program for your own reasons. + </p> + <anchor>DLIB_NO_GUI_SUPPORT</anchor> + <h3>#define DLIB_NO_GUI_SUPPORT</h3> + <p> + This is just like the DLIB_ISO_CPP_ONLY option except that it excludes only the GUI part of the library. + An example of when you might want to use this would be if you don't need GUI support and you are building + on a UNIX platform that doesn't have the X11 headers installed. + </p> + <anchor>NO_MAKEFILE</anchor> + <h3>#define NO_MAKEFILE</h3> + <p> + This preprocessor directive causes the dlib headers to pull in all the + code that would normally be built in dlib/all/source.cpp. Thus if you #define NO_MAKEFILE you won't + have to add dlib/all/source.cpp to your project. The <i>only</i> time this is useful is when your + project consists of a single translation unit (i.e. a single cpp file). In this instance NO_MAKEFILE + allows you to easily build your project on the command line by saying something like <tt>g++ -DNO_MAKEFILE + project.cpp</tt>. But again, this is only for single cpp file projects. If you use NO_MAKEFILE with projects + that contain more than one cpp file you will get linker errors about multiply defined symbols. + </p> + <p> + Also note that if you use this macro then the <a href="metaprogramming.html#DLIB_STACK_TRACE">stack trace</a> + functionality in the library will be disabled. + </p> + <anchor>DLIB_THREAD_POOL_TIMEOUT</anchor> + <h3>#define DLIB_THREAD_POOL_TIMEOUT <time-in-milliseconds></h3> + <p> + If you use dlib to create your threads then you receive the benefit of the dlib dynamic thread pool (Note that the + dlib::<a href="api.html#thread_pool">thread_pool</a> object is something else unrelated to this so don't confuse + the two). This pool + enables dlib to spawn new threads very rapidly since it draws threads back out of its thread pool when + the pool isn't empty. + </p> + <p> + Thus, when a thread that was created by dlib ends it actually goes back into the dlib thread pool + and waits DLIB_THREAD_POOL_TIMEOUT milliseconds before totally terminating and releasing its resources back + to the operating system. The default timeout used by this library is 30,000 milliseconds (30 seconds). You + may however change this to whatever you like by defining DLIB_THREAD_POOL_TIMEOUT to some new value. + </p> + + + + + </body> + + + + <!-- ************************************************************************* --> + +</doc> diff --git a/ml/dlib/docs/docs/compression.xml b/ml/dlib/docs/docs/compression.xml new file mode 100644 index 000000000..a5b3897b2 --- /dev/null +++ b/ml/dlib/docs/docs/compression.xml @@ -0,0 +1,881 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Data Compression</title> + + <!-- ************************************************************************* --> + + <body> + <p> + This page contains a bunch of objects that implement various parts of compression algorithms. + They can be put together in different ways to construct many different algorithms. + Note that the <a href="#compress_stream">compress_stream</a> object contains complete compression algorithms. So if you + just want to compress some data then you can easily use that object and not bother with the others. + </p> + <p> + In the column to the right you can see benchmark data for each of the compress_stream + typedefs. The times measured are the time it takes to compress and then + decompress each file. It was run on a 3.0ghz P4. For reference see the Canterbury corpus + <a href="http://corpus.canterbury.ac.nz/">web site</a>. + </p> + + + + </body> + + <!-- ************************************************************************* --> + + <menu width="200"> + <top> + <section> + <name>Objects</name> + <item>compress_stream</item> + <item>conditioning_class</item> + <item>entropy_decoder</item> + <item>entropy_encoder</item> + <item>entropy_decoder_model</item> + <item>entropy_encoder_model</item> + <item>lz77_buffer</item> + <item>lzp_buffer</item> + </section> + + + + + <section> + <name>Benchmarks</name> + <item> + <name>kernel_1a</name> + <link>kernel_1a.html</link> + </item> + <item> + <name>kernel_1b</name> + <link>kernel_1b.html</link> + </item> + <item> + <name>kernel_1c</name> + <link>kernel_1c.html</link> + </item> + <item> + <name>kernel_1da</name> + <link>kernel_1da.html</link> + </item> + <item> + <name>kernel_1db</name> + <link>kernel_1db.html</link> + </item> + <item> + <name>kernel_1ea</name> + <link>kernel_1ea.html</link> + </item> + <item> + <name>kernel_1eb</name> + <link>kernel_1eb.html</link> + </item> + <item> + <name>kernel_1ec</name> + <link>kernel_1ec.html</link> + </item> + <item> + <name>kernel_2a</name> + <link>kernel_2a.html</link> + </item> + <item> + <name>kernel_3a</name> + <link>kernel_3a.html</link> + </item> + <item> + <name>kernel_3b</name> + <link>kernel_3b.html</link> + </item> + </section> + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + + <!-- ************************************************************************* --> + + <component> + <name>compress_stream</name> + <file>dlib/compress_stream.h</file> + <spec_file>dlib/compress_stream/compress_stream_kernel_abstract.h</spec_file> + <description> + This object is pretty straight forward. It has no state and just + contains the functions compress and decompress. + They do just what their names imply to iostream objects. + </description> + + <examples> + <example>compress_stream_ex.cpp.html</example> + <example>file_to_code_ex.cpp.html</example> + </examples> + + <implementations> + <implementation> + <name>compress_stream_kernel_1</name> + <file>dlib/compress_stream/compress_stream_kernel_1.h</file> + <description> + This implementation is done using the <a href="#entropy_encoder_model">entropy_encoder_model</a> and + <a href="#entropy_decoder_model">entropy_decoder_model</a> objects. + </description> + + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for compress_stream_kernel_1 which uses entropy_decoder_model_kernel_1b and entropy_decoder_model_kernel_1b</description> + </typedef> + <typedef> + <name>kernel_1b</name> + <description>is a typedef for compress_stream_kernel_1 which uses entropy_decoder_model_kernel_2b and entropy_decoder_model_kernel_2b </description> + </typedef> + <typedef> + <name>kernel_1c</name> + <description>is a typedef for compress_stream_kernel_1 which uses entropy_decoder_model_kernel_3b and entropy_decoder_model_kernel_3b </description> + </typedef> + <typedef> + <name>kernel_1da</name> + <description>is a typedef for compress_stream_kernel_1 which uses entropy_decoder_model_kernel_4a and entropy_decoder_model_kernel_4a </description> + </typedef> + <typedef> + <name>kernel_1db</name> + <description>is a typedef for compress_stream_kernel_1 which uses entropy_decoder_model_kernel_4b and entropy_decoder_model_kernel_4b </description> + </typedef> + <typedef> + <name>kernel_1ea</name> + <description>is a typedef for compress_stream_kernel_1 which uses entropy_decoder_model_kernel_5a and entropy_decoder_model_kernel_5a </description> + </typedef> + <typedef> + <name>kernel_1eb</name> + <description>is a typedef for compress_stream_kernel_1 which uses entropy_decoder_model_kernel_5b and entropy_decoder_model_kernel_5b </description> + </typedef> + <typedef> + <name>kernel_1ec</name> + <description>is a typedef for compress_stream_kernel_1 which uses entropy_decoder_model_kernel_5c and entropy_decoder_model_kernel_5c </description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>compress_stream_kernel_2</name> + <file>dlib/compress_stream/compress_stream_kernel_2.h</file> + <description> + This implementation is done using the <a href="#entropy_encoder_model">entropy_encoder_model</a> and + <a href="#entropy_decoder_model">entropy_decoder_model</a> objects. It also uses the + <a href="#lz77_buffer">lz77_buffer</a> object. It uses the entropy coder models to + encode symbols when there is no match found by the lz77_buffer. + </description> + + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for compress_stream_kernel_2 which uses entropy_encoder_model_kernel_2b, entropy_decoder_model_kernel_2b, and lz77_buffer_kernel_2a.</description> + </typedef> + + </typedefs> + + </implementation> + + <implementation> + <name>compress_stream_kernel_3</name> + <file>dlib/compress_stream/compress_stream_kernel_3.h</file> + <description> + This implementation is done using the <a href="#lzp_buffer">lzp_buffer</a> object and + <a href="other.html#crc32">crc32</a> object. It does not use any sort of entropy coding, instead + a byte aligned output method is used. + </description> + + + <typedefs> + <typedef> + <name>kernel_3a</name> + <description>is a typedef for compress_stream_kernel_3 which uses lzp_buffer_kernel_1.</description> + </typedef> + <typedef> + <name>kernel_3b</name> + <description>is a typedef for compress_stream_kernel_3 which uses lzp_buffer_kernel_2.</description> + </typedef> + + </typedefs> + + </implementation> + + </implementations> + + </component> + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>conditioning_class</name> + <file>dlib/conditioning_class.h</file> + <spec_file>dlib/conditioning_class/conditioning_class_kernel_abstract.h</spec_file> + <description> + This object represents a conditioning class used for arithmetic style + compression. It maintains the cumulative counts which are needed + by the entropy_encoder and entropy_decoder objects below. + </description> + + <implementations> + <implementation> + <name>conditioning_class_kernel_1</name> + <file>dlib/conditioning_class/conditioning_class_kernel_1.h</file> + <description> + This implementation is done using an array to store all the counts and they are summed + whenever the cumulative counts are requested. It's pretty straight forward. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for conditioning_class_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + <implementation> + <name>conditioning_class_kernel_2</name> + <file>dlib/conditioning_class/conditioning_class_kernel_2.h</file> + <description> + This implementation is done using a binary tree where each node in the tree represents one symbol and + contains that symbols count and the sum of all the counts for the nodes to the left. This way + when you request a cumulative count it can be computed by visiting log n nodes where n is the + size of the alphabet. + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for conditioning_class_kernel_2</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>conditioning_class_kernel_3</name> + <file>dlib/conditioning_class/conditioning_class_kernel_3.h</file> + <description> + This implementation is done using an array to store all the counts and they are + summed whenever the cumulative counts are requested. The counts are also kept in + semi-sorted order to speed up the calculation of the cumulative count. + </description> + + <typedefs> + <typedef> + <name>kernel_3a</name> + <description>is a typedef for conditioning_class_kernel_3</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>conditioning_class_kernel_4</name> + <file>dlib/conditioning_class/conditioning_class_kernel_4.h</file> + <description> + This implementation is done using a linked list to store all the counts and they are + summed whenever the cumulative counts are requested. The counts are also kept in + semi-sorted order to speed up the calculation of the cumulative count. This implementation + also uses the <a href="other.html#memory_manager">memory_manager</a> component to create a + memory pool of linked list nodes. This implementation is especially useful for high order + contexts and/or very large and sparse alphabets. + </description> + + + <typedefs> + <typedef> + <name>kernel_4a</name> + <description>is a typedef for conditioning_class_kernel_4 with a memory pool of 10,000 nodes.</description> + </typedef> + <typedef> + <name>kernel_4b</name> + <description>is a typedef for conditioning_class_kernel_4 with a memory pool of 100,000 nodes.</description> + </typedef> + <typedef> + <name>kernel_4c</name> + <description>is a typedef for conditioning_class_kernel_4 with a memory pool of 1,000,000 nodes.</description> + </typedef> + <typedef> + <name>kernel_4d</name> + <description>is a typedef for conditioning_class_kernel_4 with a memory pool of 10,000,000 nodes.</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>entropy_decoder</name> + <file>dlib/entropy_decoder.h</file> + <spec_file>dlib/entropy_decoder/entropy_decoder_kernel_abstract.h</spec_file> + <description> + This object represents an entropy decoder. E.g. the decoding part of + an arithmetic coder. + </description> + + <implementations> + <implementation> + <name>entropy_decoder_kernel_1</name> + <file>dlib/entropy_decoder/entropy_decoder_kernel_1.h</file> + <description> + This object is implemented using arithmetic coding and is done in the + straight forward way using integers and fixed precision math. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for entropy_decoder_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + <implementation> + <name>entropy_decoder_kernel_2</name> + <file>dlib/entropy_decoder/entropy_decoder_kernel_2.h</file> + <description> + This object is implemented using "range" coding and is done + in the straight forward way using integers and fixed precision math. + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for entropy_decoder_kernel_2</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>entropy_encoder</name> + <file>dlib/entropy_encoder.h</file> + <spec_file>dlib/entropy_encoder/entropy_encoder_kernel_abstract.h</spec_file> + <description> + This object represents an entropy encoder. E.g. the encoding part of + an arithmetic coder. + </description> + + <implementations> + <implementation> + <name>entropy_encoder_kernel_1</name> + <file>dlib/entropy_encoder/entropy_encoder_kernel_1.h</file> + <description> + This object is implemented using arithmetic coding and is done in the + straight forward way using integers and fixed precision math. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for entropy_encoder_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + <implementation> + <name>entropy_encoder_kernel_2</name> + <file>dlib/entropy_encoder/entropy_encoder_kernel_2.h</file> + <description> + This object is implemented using "range" coding and is done + in the straight forward way using integers and fixed precision math. + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for entropy_encoder_kernel_2</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>entropy_decoder_model</name> + <file>dlib/entropy_decoder_model.h</file> + <spec_file>dlib/entropy_decoder_model/entropy_decoder_model_kernel_abstract.h</spec_file> + <description> + This object represents some kind of statistical model. You + can use it to read symbols from an entropy_decoder and it will calculate + the cumulative counts/probabilities and manage contexts for you. + </description> + + <implementations> + <implementation> + <name>entropy_decoder_model_kernel_1</name> + <file>dlib/entropy_decoder_model/entropy_decoder_model_kernel_1.h</file> + <description> + This object is implemented using the <a href="#conditioning_class">conditioning_class</a> component. + It implements an <i>order-0</i> finite context model and uses lazy exclusions and update exclusions. + The escape method used is method D. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for entropy_decoder_model_kernel_1 that uses conditioning_class_kernel_1a</description> + </typedef> + <typedef> + <name>kernel_1b</name> + <description>is a typedef for entropy_decoder_model_kernel_1 that uses conditioning_class_kernel_2a</description> + </typedef> + <typedef> + <name>kernel_1c</name> + <description>is a typedef for entropy_decoder_model_kernel_1 that uses conditioning_class_kernel_3a</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>entropy_decoder_model_kernel_2</name> + <file>dlib/entropy_decoder_model/entropy_decoder_model_kernel_2.h</file> + <description> + This object is implemented using the <a href="#conditioning_class">conditioning_class</a> component. + It implements an <i>order-1-0</i> finite context model and uses lazy exclusions and update exclusions. + The escape method used is method D. + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for entropy_decoder_model_kernel_2 that uses conditioning_class_kernel_1a</description> + </typedef> + <typedef> + <name>kernel_2b</name> + <description>is a typedef for entropy_decoder_model_kernel_2 that uses conditioning_class_kernel_2a</description> + </typedef> + <typedef> + <name>kernel_2c</name> + <description>is a typedef for entropy_decoder_model_kernel_2 that uses conditioning_class_kernel_3a</description> + </typedef> + <typedef> + <name>kernel_2d</name> + <description>is a typedef for entropy_decoder_model_kernel_2 that uses conditioning_class_kernel_2a for its order-0 + context and conditioning_class_kernel_4b for its order-1 context.</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>entropy_decoder_model_kernel_3</name> + <file>dlib/entropy_decoder_model/entropy_decoder_model_kernel_3.h</file> + <description> + This object is implemented using the <a href="#conditioning_class">conditioning_class</a> component. + It implements an <i>order-2-1-0</i> finite context model and uses lazy exclusions and update exclusions. + The escape method used is method D. + </description> + + <typedefs> + <typedef> + <name>kernel_3a</name> + <description> is a typedef for entropy_decoder_model_kernel_3 that uses conditioning_class_kernel_1a for orders 0 and 1 + and conditioning_class_kernel_4b for order-2.</description> + </typedef> + <typedef> + <name>kernel_3b</name> + <description> is a typedef for entropy_decoder_model_kernel_3 that uses conditioning_class_kernel_2a for orders 0 and 1 + and conditioning_class_kernel_4b for order-2.</description> + </typedef> + <typedef> + <name>kernel_3c</name> + <description> is a typedef for entropy_decoder_model_kernel_3 that uses conditioning_class_kernel_3a for orders 0 and 1 + and conditioning_class_kernel_4b for order-2.</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>entropy_decoder_model_kernel_4</name> + <file>dlib/entropy_decoder_model/entropy_decoder_model_kernel_4.h</file> + <description> + This object is implemented using a variation of the PPM algorithm described by Alistair Moffat in his paper "Implementing + the PPM data compression scheme." + It provides template arguments to select the maximum order and maximum memory to use. For speed, + exclusions are not used. The escape method used is method D. + </description> + + <typedefs> + <typedef> + <name>kernel_4a</name> + <description> is a typedef for entropy_decoder_model_kernel_4 with the max order set to 4 and the max number + of nodes set to 200,000</description> + </typedef> + <typedef> + <name>kernel_4b</name> + <description> is a typedef for entropy_decoder_model_kernel_4 with the max order set to 5 and the max number + of nodes set to 1,000,000</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>entropy_decoder_model_kernel_5</name> + <file>dlib/entropy_decoder_model/entropy_decoder_model_kernel_5.h</file> + <description> + This object is implemented using a variation of the PPM algorithm described by Alistair Moffat in his paper "Implementing + the PPM data compression scheme." + It provides template arguments to select the maximum order and maximum memory to use. Exclusions are used. The escape method used is method D. + This implementation is very much like kernel_4 except it is tuned for higher compression rather than speed. + This also uses Dmitry Shkarin's Information Inheritance scheme. + </description> + + <typedefs> + <typedef> + <name>kernel_5a</name> + <description> is a typedef for entropy_decoder_model_kernel_5 with the max order set to 4 and the max number + of nodes set to 200,000</description> + </typedef> + <typedef> + <name>kernel_5b</name> + <description> is a typedef for entropy_decoder_model_kernel_5 with the max order set to 5 and the max number + of nodes set to 1,000,000</description> + </typedef> + <typedef> + <name>kernel_5c</name> + <description> is a typedef for entropy_decoder_model_kernel_5 with the max order set to 7 and the max number + of nodes set to 2,500,000</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>entropy_decoder_model_kernel_6</name> + <file>dlib/entropy_decoder_model/entropy_decoder_model_kernel_6.h</file> + <description> + This object just assigns every symbol the same probability. I.e. it uses an <i>order-(-1)</i> model. + </description> + + <typedefs> + <typedef> + <name>kernel_6a</name> + <description>is a typedef for entropy_decoder_model_kernel_6</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>entropy_encoder_model</name> + <file>dlib/entropy_encoder_model.h</file> + <spec_file>dlib/entropy_encoder_model/entropy_encoder_model_kernel_abstract.h</spec_file> + <description> + This object represents some kind of statistical model. You + can use it to write symbols to an entropy_encoder and it will calculate + the cumulative counts/probabilities and manage contexts for you. + </description> + + <implementations> + <implementation> + <name>entropy_encoder_model_kernel_1</name> + <file>dlib/entropy_encoder_model/entropy_encoder_model_kernel_1.h</file> + <description> + This object is implemented using the <a href="#conditioning_class">conditioning_class</a> component. + It implements an <i>order-0</i> finite context model and uses lazy exclusions and update exclusions. + The escape method used is method D. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for entropy_encoder_model_kernel_1 that uses conditioning_class_kernel_1a</description> + </typedef> + <typedef> + <name>kernel_1b</name> + <description>is a typedef for entropy_encoder_model_kernel_1 that uses conditioning_class_kernel_2a</description> + </typedef> + <typedef> + <name>kernel_1c</name> + <description>is a typedef for entropy_encoder_model_kernel_1 that uses conditioning_class_kernel_3a</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>entropy_encoder_model_kernel_2</name> + <file>dlib/entropy_encoder_model/entropy_encoder_model_kernel_2.h</file> + <description> + This object is implemented using the <a href="#conditioning_class">conditioning_class</a> component. + It implements an <i>order-1-0</i> finite context model and uses lazy exclusions and update exclusions. + The escape method used is method D. + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for entropy_encoder_model_kernel_2 that uses conditioning_class_kernel_1a</description> + </typedef> + <typedef> + <name>kernel_2b</name> + <description>is a typedef for entropy_encoder_model_kernel_2 that uses conditioning_class_kernel_2a</description> + </typedef> + <typedef> + <name>kernel_2c</name> + <description>is a typedef for entropy_encoder_model_kernel_2 that uses conditioning_class_kernel_3a</description> + </typedef> + <typedef> + <name>kernel_2d</name> + <description>is a typedef for entropy_encoder_model_kernel_2 that uses conditioning_class_kernel_2a for its order-0 + context and conditioning_class_kernel_4b for its order-1 context.</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>entropy_encoder_model_kernel_3</name> + <file>dlib/entropy_encoder_model/entropy_encoder_model_kernel_3.h</file> + <description> + This object is implemented using the <a href="#conditioning_class">conditioning_class</a> component. + It implements an <i>order-2-1-0</i> finite context model and uses lazy exclusions and update exclusions. + The escape method used is method D. + </description> + + <typedefs> + <typedef> + <name>kernel_3a</name> + <description> is a typedef for entropy_encoder_model_kernel_3 that uses conditioning_class_kernel_1a for orders 0 and 1 + and conditioning_class_kernel_4b for order-2.</description> + </typedef> + <typedef> + <name>kernel_3b</name> + <description> is a typedef for entropy_encoder_model_kernel_3 that uses conditioning_class_kernel_2a for orders 0 and 1 + and conditioning_class_kernel_4b for order-2.</description> + </typedef> + <typedef> + <name>kernel_3c</name> + <description> is a typedef for entropy_encoder_model_kernel_3 that uses conditioning_class_kernel_3a for orders 0 and 1 + and conditioning_class_kernel_4b for order-2.</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>entropy_encoder_model_kernel_4</name> + <file>dlib/entropy_encoder_model/entropy_encoder_model_kernel_4.h</file> + <description> + This object is implemented using a variation of the PPM algorithm described by Alistair Moffat in his paper "Implementing + the PPM data compression scheme." + It provides template arguments to select the maximum order and maximum memory to use. For speed, + exclusions are not used. The escape method used is method D. + </description> + + <typedefs> + <typedef> + <name>kernel_4a</name> + <description> is a typedef for entropy_encoder_model_kernel_4 with the max order set to 4 and the max number + of nodes set to 200,000</description> + </typedef> + <typedef> + <name>kernel_4b</name> + <description> is a typedef for entropy_encoder_model_kernel_4 with the max order set to 5 and the max number + of nodes set to 1,000,000</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>entropy_encoder_model_kernel_5</name> + <file>dlib/entropy_encoder_model/entropy_encoder_model_kernel_5.h</file> + <description> + This object is implemented using a variation of the PPM algorithm described by Alistair Moffat in his paper "Implementing + the PPM data compression scheme." + It provides template arguments to select the maximum order and maximum memory to use. Exclusions are used. The escape method used is method D. + This implementation is very much like kernel_4 except it is tuned for higher compression rather than speed. + This also uses Dmitry Shkarin's Information Inheritance scheme. + </description> + + <typedefs> + <typedef> + <name>kernel_5a</name> + <description> is a typedef for entropy_encoder_model_kernel_5 with the max order set to 4 and the max number + of nodes set to 200,000</description> + </typedef> + <typedef> + <name>kernel_5b</name> + <description> is a typedef for entropy_encoder_model_kernel_5 with the max order set to 5 and the max number + of nodes set to 1,000,000</description> + </typedef> + <typedef> + <name>kernel_5c</name> + <description> is a typedef for entropy_encoder_model_kernel_5 with the max order set to 7 and the max number + of nodes set to 2,500,000</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>entropy_encoder_model_kernel_6</name> + <file>dlib/entropy_encoder_model/entropy_encoder_model_kernel_6.h</file> + <description> + This object just assigns every symbol the same probability. I.e. it uses an <i>order-(-1)</i> model. + </description> + + <typedefs> + <typedef> + <name>kernel_6a</name> + <description>is a typedef for entropy_encoder_model_kernel_6</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>lz77_buffer</name> + <file>dlib/lz77_buffer.h</file> + <spec_file>dlib/lz77_buffer/lz77_buffer_kernel_abstract.h</spec_file> + <description> + This object represents a pair of buffers (history and lookahead buffers) + used during lz77 style compression. + </description> + + <implementations> + <implementation> + <name>lz77_buffer_kernel_1</name> + <file>dlib/lz77_buffer/lz77_buffer_kernel_1.h</file> + <description> + This object is implemented using the <a href="containers.html#sliding_buffer">sliding_buffer</a> and it + just does simple linear searches of the history buffer to find matches. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for lz77_buffer_kernel_1 that uses sliding_buffer_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + <implementation> + <name>lz77_buffer_kernel_2</name> + <file>dlib/lz77_buffer/lz77_buffer_kernel_2.h</file> + <description> + This object is implemented using the <a href="containers.html#sliding_buffer">sliding_buffer</a>. It + finds matches by using a hash table. + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for lz77_buffer_kernel_2 that uses sliding_buffer_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>lzp_buffer</name> + <file>dlib/lzp_buffer.h</file> + <spec_file>dlib/lzp_buffer/lzp_buffer_kernel_abstract.h</spec_file> + <description> + This object represents some variation on the LZP algorithm + described by Charles Bloom in his paper "LZP: a new data + compression algorithm" + </description> + + <implementations> + <implementation> + <name>lzp_buffer_kernel_1</name> + <file>dlib/lzp_buffer/lzp_buffer_kernel_1.h</file> + <description> + This object is implemented using the <a href="containers.html#sliding_buffer">sliding_buffer</a> and uses + an order-3 model to predict matches. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for lzp_buffer_kernel_1 that uses sliding_buffer_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + <implementation> + <name>lzp_buffer_kernel_2</name> + <file>dlib/lzp_buffer/lzp_buffer_kernel_2.h</file> + <description> + This object is implemented using the <a href="containers.html#sliding_buffer">sliding_buffer</a> and uses + an order-5-4-3 model to predict matches. + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for lzp_buffer_kernel_2 that uses sliding_buffer_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + <!-- ************************************************************************* --> + + </components> + + <!-- ************************************************************************* --> + + +</doc> diff --git a/ml/dlib/docs/docs/containers.xml b/ml/dlib/docs/docs/containers.xml new file mode 100644 index 000000000..8409b6907 --- /dev/null +++ b/ml/dlib/docs/docs/containers.xml @@ -0,0 +1,1201 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Containers</title> + + <!-- ************************************************************************* --> + + <body> + <p> + Many of these containers were inspired by the work of the <a + href="http://www.cse.ohio-state.edu/~weide/rsrg/index.html">Reusable + Software Research Group</a> at Ohio State. As such, many of the objects do not support + copying in any form, only swapping is allowed. That is, when objects + are added or removed from most of these containers they are swapped in + and out, not copied. + </p> + + <p> + This allows you to do things like have containers of containers of + containers without encountering the overhead of the massive copying + that would likely result if you did the same thing with the STL. It + also means you can store objects that are not copyable inside these + containers, which is not something you can do with the STL prior to C++11. + </p> + + <p> + Note that it is assumed by these containers that swap() and + operator< do not throw. They may not function correctly if this + assumption is broken. Also note that the built in types (int, long, + char, etc.) and std::string will not cause operator< or swap() to + throw. + </p> + + <p> + Note also that most of the containers inherit from the + <a href="#enumerable">enumerable</a> interface. Thus, all the + member functions inherited from enumerable are defined in the + enumerable class and their documentation is not repeated in each + container's documentation. This includes the size() member + function in each container. + </p> + + + </body> + + <!-- ************************************************************************* --> + + <menu width="150"> + <top> + <section> + <name>Objects</name> + <item>static_set</item> + <item>any</item> + <item>any_trainer</item> + <item>any_function</item> + <item>any_decision_function</item> + <item>array</item> + <item>array2d</item> + <item>binary_search_tree</item> + <item>hash_map</item> + <item>hash_set</item> + <item>hash_table</item> + <item>directed_graph</item> + <item>graph</item> + <item>map</item> + <item>queue</item> + <item>reference_counter</item> + <item>type_safe_union</item> + <item>unordered_pair</item> + <item>sequence</item> + <item>set</item> + <item>stack</item> + <item>std_vector_c</item> + <item>static_map</item> + <item>sliding_buffer</item> + <item>circular_buffer</item> + <item>tuple</item> + <item>reference_wrapper</item> + + </section> + + <section> + <name>Interfaces</name> + <item>map_pair</item> + <item>enumerable</item> + <item> + <name>remover</name> + <sub> + <item> + <name>remover</name> + <link>dlib/interfaces/remover.h.html#remover</link> + </item> + <item> + <name>asc_remover</name> + <link>dlib/interfaces/remover.h.html#asc_remover</link> + </item> + <item> + <name>pair_remover</name> + <link>dlib/interfaces/remover.h.html#pair_remover</link> + </item> + <item> + <name>asc_pair_remover</name> + <link>dlib/interfaces/remover.h.html#asc_pair_remover</link> + </item> + </sub> + </item> + </section> + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + <component> + <name>array</name> + <file>dlib/array.h</file> + <spec_file>dlib/array/array_kernel_abstract.h</spec_file> + <description> + This object represents a 1-Dimensional array of objects. + </description> + </component> + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>sliding_buffer</name> + <file>dlib/sliding_buffer.h</file> + <spec_file>dlib/sliding_buffer/sliding_buffer_kernel_abstract.h</spec_file> + <description> + This object represents an array with the ability to rotate its contents + left or right. Note that the size of this object is always a power of two. + If you need arbitrary sized objects then use a <a href="#circular_buffer">circular_buffer</a>. + </description> + + <implementations> + <implementation> + <name>sliding_buffer_kernel_1</name> + <file>dlib/sliding_buffer/sliding_buffer_kernel_1.h</file> + <description> + This object is implemented using a C style array in the obvious way. See the code for details. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for sliding_buffer_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>circular_buffer</name> + <file>dlib/sliding_buffer.h</file> + <spec_file>dlib/sliding_buffer/circular_buffer_abstract.h</spec_file> + <description> + This object represents a simple sliding buffer which can contain + and arbitrary number of elements. + </description> + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>array2d</name> + <file>dlib/array2d.h</file> + <spec_file>dlib/array2d/array2d_kernel_abstract.h</spec_file> + <description> + This object represents a 2-Dimensional array of objects. + </description> + + <examples> + <example>image_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>binary_search_tree</name> + <file>dlib/binary_search_tree.h</file> + <spec_file>dlib/binary_search_tree/binary_search_tree_kernel_abstract.h</spec_file> + <description> + This object represents a data dictionary that is built on top of some kind of binary search tree. + </description> + + <implementations> + <implementation> + <name>binary_search_tree_kernel_1</name> + <file>dlib/binary_search_tree/binary_search_tree_kernel_1.h</file> + <description> + This implementation is done using an AVL binary search tree. It uses the + <a href="other.html#memory_manager">memory_manager</a> for all memory allocations. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for binary_search_tree_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + <implementation> + <name>binary_search_tree_kernel_2</name> + <file>dlib/binary_search_tree/binary_search_tree_kernel_2.h</file> + <description> + This implementation is done using a red-black binary search tree. It uses the + <a href="other.html#memory_manager">memory_manager</a> for all memory allocations. + </description> + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for binary_search_tree_kernel_2</description> + </typedef> + </typedefs> + + </implementation> + </implementations> + + + </component> + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>hash_map</name> + <file>dlib/hash_map.h</file> + <spec_file>dlib/hash_map/hash_map_kernel_abstract.h</spec_file> + <description> + This object represents a hashed mapping of items of type domain onto items of type range. + </description> + + <implementations> + <implementation> + <name>hash_map_kernel_1</name> + <file>dlib/hash_map/hash_map_kernel_1.h</file> + <description> + This implementation is done using a <a href="#hash_table">hash_table</a> object. It uses the + <a href="other.html#memory_manager">memory_manager</a> for all memory allocations. + + </description> + + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for hash_map_kernel_1 that uses hash_table_kernel_1a</description> + </typedef> + <typedef> + <name>kernel_1b</name> + <description>is a typedef for hash_map_kernel_1 that uses hash_table_kernel_2a</description> + </typedef> + <typedef> + <name>kernel_1c</name> + <description>is a typedef for hash_map_kernel_1 that uses hash_table_kernel_2b</description> + </typedef> + </typedefs> + + </implementation> + + + </implementations> + + + </component> + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>hash_set</name> + <file>dlib/hash_set.h</file> + <spec_file>dlib/hash_set/hash_set_kernel_abstract.h</spec_file> + <description> + This object represents a hashed unordered and unaddressed collection of unique items. + </description> + + <implementations> + <implementation> + <name>hash_set_kernel_1</name> + <file>dlib/hash_set/hash_set_kernel_1.h</file> + <description> + This implementation is done using a <a href="#hash_table">hash_table</a> object. It uses the + <a href="other.html#memory_manager">memory_manager</a> for all memory allocations. + + </description> + + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for hash_set_kernel_1 that uses hash_table_kernel_1a</description> + </typedef> + <typedef> + <name>kernel_1b</name> + <description>is a typedef for hash_set_kernel_1 that uses hash_table_kernel_2a</description> + </typedef> + <typedef> + <name>kernel_1c</name> + <description>is a typedef for hash_set_kernel_1 that uses hash_table_kernel_2b</description> + </typedef> + </typedefs> + + </implementation> + + + </implementations> + + + </component> + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>hash_table</name> + <file>dlib/hash_table.h</file> + <spec_file>dlib/hash_table/hash_table_kernel_abstract.h</spec_file> + <description> + This object represents a data dictionary that is built on top of some kind of + hash table. + </description> + + <implementations> + <implementation> + <name>hash_table_kernel_1</name> + <file>dlib/hash_table/hash_table_kernel_1.h</file> + <description> + This implementation is done using singly linked lists as hashing buckets. It uses the + <a href="other.html#memory_manager">memory_manager</a> for all memory allocations. + </description> + + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for hash_table_kernel_1. </description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>hash_table_kernel_2</name> + <file>dlib/hash_table/hash_table_kernel_2.h</file> + <description> + This implementation is done using <a href="#binary_search_tree"> + binary_search_tree</a> objects as hashing buckets. It uses the + <a href="other.html#memory_manager">memory_manager</a> for all memory allocations. + + </description> + + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for hash_table_kernel_2 that uses binary_search_tree_kernel_1</description> + </typedef> + <typedef> + <name>kernel_2b</name> + <description>is a typedef for hash_table_kernel_2 that uses binary_search_tree_kernel_2</description> + </typedef> + </typedefs> + + </implementation> + + + </implementations> + + + </component> + + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>map</name> + <file>dlib/map.h</file> + <spec_file>dlib/map/map_kernel_abstract.h</spec_file> + <description> + This object represents a mapping of items of type domain onto items of type range. + </description> + + <implementations> + <implementation> + <name>map_kernel_1</name> + <file>dlib/map/map_kernel_1.h</file> + <description> + This is implemented using the <a href="#binary_search_tree">binary_search_tree</a> component. It uses the + <a href="other.html#memory_manager">memory_manager</a> for all memory allocations. + + </description> + + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for map_kernel_1 that uses binary_search_tree_kernel_1</description> + </typedef> + <typedef> + <name>kernel_1b</name> + <description>is a typedef for map_kernel_1 that uses binary_search_tree_kernel_2</description> + </typedef> + </typedefs> + + </implementation> + + + + </implementations> + + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>enumerable</name> + <file>dlib/interfaces/enumerable.h</file> + <spec_file>dlib/interfaces/enumerable.h</spec_file> + <description> + This object is an abstract class which represents an interface for iterating over + all the elements of a container. + </description> + + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>map_pair</name> + <file>dlib/interfaces/map_pair.h</file> + <spec_file>dlib/interfaces/map_pair.h</spec_file> + <description> + This object is an abstract class which represents an interface for accessing a + pair from a container such as the map, hash_table, etc. + </description> + + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>remover</name> + <file>dlib/interfaces/remover.h</file> + <spec_file>dlib/interfaces/remover.h</spec_file> + <description> + This is a set of interfaces which gives the ability to remove all the items in a + container without actually knowing what kind of container contains them. + </description> + + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>type_safe_union</name> + <file>dlib/type_safe_union.h</file> + <spec_file link="true">dlib/type_safe_union/type_safe_union_kernel_abstract.h</spec_file> + <description> + This object is a type safe analogue of the classic C union object. + The type_safe_union, unlike a union, can contain non-POD types such + as std::string. + <p>It is also implemented without performing any + heap memory allocations and instead it stores everything on the stack.</p> + </description> + + <examples> + <example>pipe_ex_2.cpp.html</example> + <example>bridge_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>unordered_pair</name> + <file>dlib/unordered_pair.h</file> + <spec_file link="true">dlib/unordered_pair.h</spec_file> + <description> + This object is very similar to the std::pair struct except unordered_pair + is only capable of representing an unordered set of two items rather than + an ordered list of two items like std::pair. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>any</name> + <file>dlib/any.h</file> + <spec_file link="true">dlib/any/any_abstract.h</spec_file> + <description> + This object is basically a type-safe version of a void*. In particular, + it is a container which can contain only one object but the object may + be of any type. + + <p> + It is somewhat like the <a href="#type_safe_union">type_safe_union</a> except you don't have to declare + the set of possible content types beforehand. So in some sense this is + like a less type-strict version of the type_safe_union. + </p> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>any_decision_function</name> + <file>dlib/any.h</file> + <spec_file link="true">dlib/any/any_decision_function_abstract.h</spec_file> + <description> + This object is a version of dlib::<a href="#any">any</a> that is restricted to containing + elements which are some kind of function object with an operator() with + the following signature: + <tt>result_type operator()(const sample_type&) const</tt> + + <p> + It is intended to be used to contain dlib::<a href="ml.html#decision_function">decision_function</a> + objects and other types which represent learned decision functions. It allows you + to write code which contains and processes these decision functions + without needing to know the specific types of decision functions used. + </p> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>any_function</name> + <file>dlib/any.h</file> + <spec_file link="true">dlib/any/any_function_abstract.h</spec_file> + <description> + This object is a version of dlib::<a href="#any">any</a> that is restricted to containing + elements which are some kind of function or function object. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>any_trainer</name> + <file>dlib/any.h</file> + <spec_file link="true">dlib/any/any_trainer_abstract.h</spec_file> + <description> + This object is a version of dlib::<a href="#any">any</a> that is restricted to containing + elements which are some kind of object with a .train() method compatible + with the following signature: +<pre> decision_function train( + const std::vector<sample_type>& samples, + const std::vector<scalar_type>& labels + ) const +</pre> + Where <tt>decision_function</tt> is a type capable of being stored in an + <a href="#any_decision_function">any_decision_function</a> object. + + <p> + any_trainer is intended to be used to contain objects such as the <a href="ml.html#svm_nu_trainer">svm_nu_trainer</a> + and other similar types which represent supervised machine learning algorithms. + It allows you to write code which contains and processes these trainer objects + without needing to know the specific types of trainer objects used. + </p> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>tuple</name> + <file>dlib/tuple.h</file> + <spec_file>dlib/tuple/tuple_abstract.h</spec_file> + <description> + This is an implementation of a very simple templated container object. + It contains between 0 and 31 objects where each object is listed + explicitly in the tuple's template arguments. + + <p> + Note that there is only one implementation of this object so there aren't any + different kernels to choose from when you create instances of the tuple object. + So for example, you + could declare a tuple of 3 ints using the following statement: + <tt>dlib::tuple<int,int,int> t;</tt> + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>reference_wrapper</name> + <file>dlib/ref.h</file> + <spec_file>dlib/ref.h</spec_file> + <description> + This is a simple object that just holds a reference to another object. + It is useful because it can serve as a kind of "copyable reference". + </description> + <examples> + <example>thread_function_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>graph</name> + <file>dlib/graph.h</file> + <spec_file>dlib/graph/graph_kernel_abstract.h</spec_file> + <description> + This object represents a graph which is a set of nodes with undirected + edges connecting various nodes. + </description> + + <implementations> + <implementation> + <name>graph_kernel_1</name> + <file>dlib/graph/graph_kernel_1.h</file> + <description> + This is implemented using std::vector to contain all the nodes and edges. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for graph_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + </implementations> + + </component> + + + <!-- ************************************************************************* --> + <component checked="true"> + <name>directed_graph</name> + <file>dlib/directed_graph.h</file> + <spec_file>dlib/directed_graph/directed_graph_kernel_abstract.h</spec_file> + <description> + This object represents a directed graph which is a set of nodes with directed + edges connecting various nodes. + </description> + + <implementations> + <implementation> + <name>directed_graph_kernel_1</name> + <file>dlib/directed_graph/directed_graph_kernel_1.h</file> + <description> + This is implemented using std::vector to contain all the nodes and edges. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for directed_graph_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + </implementations> + + </component> + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>queue</name> + <file>dlib/queue.h</file> + <spec_file>dlib/queue/queue_kernel_abstract.h</spec_file> + <description> + This object represents a first in first out queue. + </description> + + <examples> + <example>queue_ex.cpp.html</example> + </examples> + + <implementations> + <implementation> + <name>queue_kernel_1</name> + <file>dlib/queue/queue_kernel_1.h</file> + <description> + This is implemented in the obvious way using a singly linked list. It does not use the + <a href="other.html#memory_manager">memory_manager</a> at all. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for queue_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + <implementation> + <name>queue_kernel_2</name> + <file>dlib/queue/queue_kernel_2.h</file> + <description> + This is implemented using a singly linked list and each node in the list + contains block_size (a template parameter) elements. It uses the + <a href="other.html#memory_manager">memory_manager</a> for all memory allocations. + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for queue_kernel_2 with a block_size of 20</description> + </typedef> + <typedef> + <name>kernel_2b</name> + <description>is a typedef for queue_kernel_2 with a block_size of 100</description> + </typedef> + </typedefs> + + </implementation> + </implementations> + + <extensions> + <extension> + <name>queue_sort</name> + <spec_file>dlib/queue/queue_sort_abstract.h</spec_file> + <description> + This extension gives a queue the ability to sort its contents. + </description> + + <implementations> + <implementation> + <name>queue_sort_1</name> + <file>dlib/queue/queue_sort_1.h</file> + <description> + This is a version of the QuickSort algorithm. + </description> + + <typedefs> + <typedef> + <name>sort_1a</name> + <description>is a typedef for queue_kernel_1a extended by queue_sort_1</description> + </typedef> + <typedef> + <name>sort_1b</name> + <description>is a typedef for queue_kernel_2a extended by queue_sort_1</description> + </typedef> + <typedef> + <name>sort_1c</name> + <description>is a typedef for queue_kernel_2b extended by queue_sort_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + + </extension> + </extensions> + + </component> + + + + <!-- ************************************************************************* --> + + <component> + <name>reference_counter</name> + <file>dlib/reference_counter.h</file> + <spec_file>dlib/reference_counter/reference_counter_kernel_abstract.h</spec_file> + <description> + This object represents a container for an object and provides reference counting + capabilities for the object it contains. + </description> + + <implementations> + <implementation> + <name>reference_counter_kernel_1</name> + <file>dlib/reference_counter/reference_counter_kernel_1.h</file> + <description> + This implementation is done using pointers in the obvious way. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for reference_counter_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + + </component> + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>sequence</name> + <file>dlib/sequence.h</file> + <spec_file>dlib/sequence/sequence_kernel_abstract.h</spec_file> + <description> + This object represents an ordered sequence of items, each item is + associated with an integer value. The items are numbered from 0 to the number of items in the + sequence minus 1. + </description> + + <implementations> + <implementation> + <name>sequence_kernel_1</name> + <file>dlib/sequence/sequence_kernel_1.h</file> + <description> + This is implemented as an AVL binary search tree. + Accessing(or adding or removing) an element always takes O(log n) time. + It uses the <a href="other.html#memory_manager">memory_manager</a> for all memory allocations. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for sequence_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + <implementation> + <name>sequence_kernel_2</name> + <file>dlib/sequence/sequence_kernel_2.h</file> + <description> + This implementation is done using a doubly linked list in the shape of a ring. + It will remember the last element accessed(or added or removed) and give O(1) + access time to the elements just left and right of it. Aside from that, + accessing(or adding or removing) a random element will take O(n) and in the worst + case it will take time proportional to the size of the sequence/2. + <p> + It does not use the + <a href="other.html#memory_manager">memory_manager</a> at all. + </p> + + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for sequence_kernel_2</description> + </typedef> + </typedefs> + + </implementation> + </implementations> + + <extensions> + + <extension> + <name>sequence_sort</name> + <spec_file>dlib/sequence/sequence_sort_abstract.h</spec_file> + <description> + This extension gives a sequence the ability to sort its contents. + </description> + + <implementations> + <implementation> + <name>sequence_sort_1</name> + <file>dlib/sequence/sequence_sort_1.h</file> + <description> + This is a version of the QuickSort algorithm and it sorts sequences of less + than 30 elements with a selection sort. This implementation is fastest when + used with sequence_kernel_2 and fairly slow when used with sequence_kernel_1 + </description> + + <typedefs> + <typedef> + <name>sort_1a</name> + <description>is a typedef for sequence_kernel_2a extended by sequence_sort_1</description> + </typedef> + </typedefs> + + </implementation> + <implementation> + <name>sequence_sort_2</name> + <file>dlib/sequence/sequence_sort_2.h</file> + <description> + This is a version of the QuickSort algorithm. This implementation of sort is + the best to use with sequence_kernel_1 objects but gives extremely poor performance + with sequence_kernel_2 objects. + </description> + + <typedefs> + <typedef> + <name>sort_2a</name> + <description>is a typedef for sequence_kernel_1a extended by sequence_sort_2</description> + </typedef> + </typedefs> + + </implementation> + </implementations> + + + </extension> + <extension> + <name>sequence_compare</name> + <spec_file>dlib/sequence/sequence_compare_abstract.h</spec_file> + <description> + This extension gives sequences the ability to compare themselves using + operator< and operator==. Thus they can be used in the other container classes + that require this ability. (maps, sets, etc.) + </description> + + <implementations> + <implementation> + <name>sequence_compare_1</name> + <file>dlib/sequence/sequence_compare_1.h</file> + <description> + The implementation is obvious. Click on the sequence_compare_1 link if you want to see. + </description> + + <typedefs> + <typedef> + <name>compare_1a</name> + <description>is a typedef for sequence_kernel_1a extended by sequence_compare_1</description> + </typedef> + <typedef> + <name>compare_1b</name> + <description>is a typedef for sequence_kernel_2a extended by sequence_compare_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + + </extension> + </extensions> + + </component> + + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>set</name> + <file>dlib/set.h</file> + <spec_file>dlib/set/set_kernel_abstract.h</spec_file> + <description> + This object represents an unordered and unaddressed collection of unique items. + </description> + + <implementations> + <implementation> + <name>set_kernel_1</name> + <file>dlib/set/set_kernel_1.h</file> + <description> + This is implemented using the <a href="#binary_search_tree">binary_search_tree</a> component. It uses the + <a href="other.html#memory_manager">memory_manager</a> for all memory allocations. + + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for set_kernel_1 that uses binary_search_tree_kernel_1</description> + </typedef> + <typedef> + <name>kernel_1b</name> + <description>is a typedef for set_kernel_1 that uses binary_search_tree_kernel_2</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + <extensions> + + <extension> + <name>set_compare</name> + <spec_file>dlib/set/set_compare_abstract.h</spec_file> + <description> + This extension gives sets the ability to compare themselves using operator< and + operator==. Thus they can be used in the other container classes that require + this ability. (maps, sets, etc.) + </description> + + <implementations> + <implementation> + <name>set_compare_1</name> + <file>dlib/set/set_compare_1.h</file> + <description> + The implementation is obvious. Click on the set_compare_1 link if you want to see. + </description> + + <typedefs> + <typedef> + <name>compare_1a</name> + <description>is a typedef for set_kernel_1a extended by set_compare_1</description> + </typedef> + <typedef> + <name>compare_1b</name> + <description>is a typedef for set_kernel_1b extended by set_compare_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + + </extension> + </extensions> + + </component> + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>stack</name> + <file>dlib/stack.h</file> + <spec_file>dlib/stack/stack_kernel_abstract.h</spec_file> + <description> + This object represents a last in first out stack. + </description> + + <implementations> + <implementation> + <name>stack_kernel_1</name> + <file>dlib/stack/stack_kernel_1.h</file> + <description> + This implementation is done in the obvious way using a singly linked list. It uses the + <a href="other.html#memory_manager">memory_manager</a> for all memory allocations. + + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for stack_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>static_map</name> + <file>dlib/static_map.h</file> + <spec_file>dlib/static_map/static_map_kernel_abstract.h</spec_file> + <description> + This object represents a mapping of items of type domain onto items of type range. + The difference between this object and the normal <a href="#map">map</a> object is that it does not support adding + or removing individual objects from itself. This allows implementations to focus on using less memory and + achieving faster searching. + </description> + + <implementations> + <implementation> + <name>static_map_kernel_1</name> + <file>dlib/static_map/static_map_kernel_1.h</file> + <description> + This implementation is just a sorted array which can be searched using a binary search. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for static_map_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>static_set</name> + <file>dlib/static_set.h</file> + <spec_file>dlib/static_set/static_set_kernel_abstract.h</spec_file> + <description> + This object represents an unordered and unaddressed collection of items. + The difference between this object and the normal <a href="#set">set</a> object is that it does not support adding + or removing individual objects from itself. This allows implementations to focus on using less memory and + achieving faster searching. + </description> + + <implementations> + <implementation> + <name>static_set_kernel_1</name> + <file>dlib/static_set/static_set_kernel_1.h</file> + <description> + This implementation is just a sorted array which can be searched using a binary search. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for static_set_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + <extensions> + + <extension> + <name>static_set_compare</name> + <spec_file>dlib/static_set/static_set_compare_abstract.h</spec_file> + <description> + This extension gives static_sets the ability to compare themselves using operator< and + operator==. Thus they can be used in the other container classes that require + this ability. 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The <TT>enable_if</TT> templates can also be +applied to enable class template specializations. Applications of +<TT>enable_if</TT> are discussed in length +in [<A HREF="#jarvi:03:cuj_arbitrary_overloading"><CITE>1</CITE></A>] and [<A HREF="#jarvi:03:c++typeclasses"><CITE>2</CITE></A>].<BR> +<BR> +<!--TOC subsection Synopsis--> + +<H3><A NAME="htoc2">1.1</A> Synopsis</H3><!--SEC END --> + +<A NAME="sec:synopsis"></A> +<PRE>namespace boost { + template <class Cond, class T = void> struct enable_if; + template <class Cond, class T = void> struct disable_if; + template <class Cond, class T> struct lazy_enable_if; + template <class Cond, class T> struct lazy_disable_if; + + template <bool B, class T = void> struct enable_if_c; + template <bool B, class T = void> struct disable_if_c; + template <bool B, class T> struct lazy_enable_if_c; + template <bool B, class T> struct lazy_disable_if_c; +} +</PRE> +<!--TOC subsection Background--> + +<H3><A NAME="htoc3">1.2</A> Background</H3><!--SEC END --> + +<A NAME="sec:background"></A> +Sensible operation of template function overloading in C++ relies +on the <EM>SFINAE</EM> (substitution-failure-is-not-an-error) +principle [<A HREF="#vandevoorde2002:templates"><CITE>3</CITE></A>]: if an invalid argument +or return type is formed during the instantiation of a function +template, the instantiation is removed from the overload resolution +set instead of causing a compilation error. The following example, +taken from [<A HREF="#jarvi:03:cuj_arbitrary_overloading"><CITE>1</CITE></A>], +demonstrates why this is important: +<PRE>int negate(int i) { return -i; } + +template <class F> +typename F::result_type negate(const F& f) { return -f(); } + +</PRE> +Suppose the compiler encounters the call <TT>negate(1)</TT>. The first +definition is obviously a better match, but the compiler must +nevertheless consider (and instantiate the prototypes) of both +definitions to find this out. Instantiating the latter definition with +<TT>F</TT> as <TT>int</TT> would result in: +<PRE>int::result_type negate(const int&); + +</PRE> +where the return type is invalid. If this was an error, adding an unrelated function template +(that was never called) could break otherwise valid code. +Due to the SFINAE principle the above example is not, however, erroneous. +The latter definition of <TT>negate</TT> is simply removed from the overload resolution set.<BR> +<BR> +The <TT>enable_if</TT> templates are tools for controlled creation of the SFINAE +conditions.<BR> +<BR> +<!--TOC section The <TT>enable_if</TT> templates--> + +<H2><A NAME="htoc4">2</A> The <TT>enable_if</TT> templates</H2><!--SEC END --> + +<A NAME="enable_if"></A> +The names of the <TT>enable_if</TT> templates have three parts: an optional <TT>lazy_</TT> tag, +either <TT>enable_if</TT> or <TT>disable_if</TT>, and an optional <TT>_c</TT> tag. +All eight combinations of these parts are supported. +The meaning of the <TT>lazy_</TT> tag is described in Section <A HREF="#sec:enable_if_lazy">3.3</A>. +The second part of the name indicates whether a true condition argument should +enable or disable the current overload. +The third part of the name indicates whether the condition argument is a <TT>bool</TT> value +(<TT>_c</TT> suffix), or a type containing a static <TT>bool</TT> constant named <TT>value</TT> (no suffix). +The latter version interoperates with Boost.MPL. <BR> +<BR> +The definitions of <TT>enable_if_c</TT> and <TT>enable_if</TT> are as follows (we use <TT>enable_if</TT> templates +unqualified but they are in the <TT>boost</TT> namespace). +<PRE>template <bool B, class T = void> +struct enable_if_c { + typedef T type; +}; + +template <class T> +struct enable_if_c<false, T> {}; + +template <class Cond, class T = void> +struct enable_if : public enable_if_c<Cond::value, T> {}; + +</PRE> +An instantiation of the <TT>enable_if_c</TT> template with the parameter +<TT>B</TT> as <TT>true</TT> contains a member type <TT>type</TT>, defined +to be <TT>T</TT>. If <TT>B</TT> is +<TT>false</TT>, no such member is defined. Thus +<TT>enable_if_c<B, T>::type</TT> is either a valid or an invalid type +expression, depending on the value of <TT>B</TT>. +When valid, <TT>enable_if_c<B, T>::type</TT> equals <TT>T</TT>. +The <TT>enable_if_c</TT> template can thus be used for controlling when functions are considered for +overload resolution and when they are not. +For example, the following function is defined for all arithmetic types (according to the +classification of the <A HREF="http://www.boost.org/doc/libs/release/libs/type_traits/index.html">Boost type_traits library</A>): +<PRE>template <class T> +typename enable_if_c<boost::is_arithmetic<T>::value, T>::type +foo(T t) { return t; } + +</PRE> +The <TT>disable_if_c</TT> template is provided as well, and has the +same functionality as <TT>enable_if_c</TT> except for the negated condition. The following +function is enabled for all non-arithmetic types. +<PRE>template <class T> +typename disable_if_c<boost::is_arithmetic<T>::value, T>::type +bar(T t) { return t; } + +</PRE> +For easier syntax in some cases and interoperation with Boost.MPL we provide versions of +the <TT>enable_if</TT> templates taking any type with a <TT>bool</TT> member constant named +<TT>value</TT> as the condition argument. +The MPL <TT>bool_</TT>, <TT>and_</TT>, <TT>or_</TT>, and <TT>not_</TT> templates are likely to be +useful for creating such types. Also, the traits classes in the Boost.Type_traits library +follow this convention. +For example, the above example function <TT>foo</TT> can be alternatively written as: +<PRE>template <class T> +typename enable_if<boost::is_arithmetic<T>, T>::type +foo(T t) { return t; } + +</PRE> +<!--TOC section Using <TT>enable_if</TT>--> + +<H2><A NAME="htoc5">3</A> Using <TT>enable_if</TT></H2><!--SEC END --> + +<A NAME="sec:using_enable_if"></A> +The <TT>enable_if</TT> templates are defined in +<TT>boost/utility/enable_if.hpp</TT>, which is included by <TT>boost/utility.hpp</TT>.<BR> +<BR> +The <TT>enable_if</TT> template can be used either as the return type, or as an +extra argument. For example, the <TT>foo</TT> function in the previous section could also be written +as: +<PRE>template <class T> +T foo(T t, typename enable_if<boost::is_arithmetic<T> >::type* dummy = 0); + +</PRE>Hence, an extra parameter of type <TT>void*</TT> is added, but it is given +a default value to keep the parameter hidden from client code. +Note that the second template argument was not given to <TT>enable_if</TT>, as the default +<TT>void</TT> gives the desired behavior.<BR> +<BR> +Whether to write the enabler as an argument or within the return type is +largely a matter of taste, but for certain functions, only one +alternative is possible: +<UL><LI> +Operators have a fixed number of arguments, thus <TT>enable_if</TT> must be used in the return type. +<LI>Constructors and destructors do not have a return type; an extra argument is the only option. +<LI>There does not seem to be a way to specify an enabler for a conversion operator. Converting constructors, +however, can have enablers as extra default arguments. +</UL> +<!--TOC subsection Enabling template class specializations--> + +<H3><A NAME="htoc6">3.1</A> Enabling template class specializations</H3><!--SEC END --> + +<A NAME="sec:enable_if_classes"></A> +Class template specializations can be enabled or disabled with <TT>enable_if</TT>. +One extra template parameter needs to be added for the enabler expressions. +This parameter has the default value <TT>void</TT>. +For example: +<PRE>template <class T, class Enable = void> +class A { ... }; + +template <class T> +class A<T, typename enable_if<is_integral<T> >::type> { ... }; + +template <class T> +class A<T, typename enable_if<is_float<T> >::type> { ... }; + +</PRE>Instantiating <TT>A</TT> with any integral type matches the first specialization, +whereas any floating point type matches the second one. All other types +match the primary template. +The condition can be any compile-time boolean expression that depends on the +template arguments of the class. +Note that again, the second argument to <TT>enable_if</TT> is not needed; the default (<TT>void</TT>) +is the correct value.<BR> +<BR> +<!--TOC subsection Overlapping enabler conditions--> + +<H3><A NAME="htoc7">3.2</A> Overlapping enabler conditions</H3><!--SEC END --> + +<A NAME="sec:overlapping_conditions"></A> +Once the compiler has examined the enabling conditions and included the +function into the overload resolution set, normal C++ overload resolution +rules are used to select the best matching function. +In particular, there is no ordering between enabling conditions. +Function templates with enabling conditions that are not mutually exclusive can +lead to ambiguities. For example: +<PRE>template <class T> +typename enable_if<boost::is_integral<T>, void>::type +foo(T t) {} + +template <class T> +typename enable_if<boost::is_arithmetic<T>, void>::type +foo(T t) {} + +</PRE> +All integral types are also arithmetic. Therefore, say, for the call <TT>foo(1)</TT>, +both conditions are true and both functions are thus in the overload resolution set. +They are both equally good matches and thus ambiguous. +Of course, more than one enabling condition can be simultaneously true as long as +other arguments disambiguate the functions.<BR> +<BR> +The above discussion applies to using <TT>enable_if</TT> in class template +partial specializations as well.<BR> +<BR> +<!--TOC subsection Lazy <TT>enable_if</TT>--> + +<H3><A NAME="htoc8">3.3</A> Lazy <TT>enable_if</TT></H3><!--SEC END --> + +<A NAME="sec:enable_if_lazy"></A> +In some cases it is necessary to avoid instantiating part of a +function signature unless an enabling condition is true. For example: +<PRE>template <class T, class U> class mult_traits; + +template <class T, class U> +typename enable_if<is_multipliable<T, U>, typename mult_traits<T, U>::type>::type +operator*(const T& t, const U& u) { ... } + +</PRE>Assume the class template <TT>mult_traits</TT> is a traits class defining +the resulting type of a multiplication operator. The <TT>is_multipliable</TT> traits +class specifies for which types to enable the operator. Whenever +<TT>is_multipliable<A, B>::value</TT> is <TT>true</TT> for some types <TT>A</TT> and <TT>B</TT>, +then <TT>mult_traits<A, B>::type</TT> is defined.<BR> +<BR> +Now, trying to invoke (some other overload) of <TT>operator*</TT> with, say, operand types <TT>C</TT> and <TT>D</TT> +for which <TT>is_multipliable<C, D>::value</TT> is <TT>false</TT> +and <TT>mult_traits<C, D>::type</TT> is not defined is an error on some compilers. +The SFINAE principle is not applied because +the invalid type occurs as an argument to another template. The <TT>lazy_enable_if</TT> +and <TT>lazy_disable_if</TT> templates (and their <TT>_c</TT> versions) can be used in such +situations: +<PRE>template<class T, class U> +typename lazy_enable_if<is_multipliable<T, U>, mult_traits<T, U> >::type +operator*(const T& t, const U& u) { ... } + +</PRE>The second argument of <TT>lazy_enable_if</TT> must be a class type +that defines a nested type named <TT>type</TT> whenever the first +parameter (the condition) is true.<BR> +<BR> +<!--TOC paragraph Note--> + +<H5>Note</H5><!--SEC END --> + +Referring to one member type or static constant in a traits class +causes all of the members (type and static constant) of that +specialization to be instantiated. Therefore, if your traits classes +can sometimes contain invalid types, you should use two distinct +templates for describing the conditions and the type mappings. In the +above example, <TT>is_multipliable<T, U>::value</TT> defines when +<TT>mult_traits<T, U>::type</TT> is valid.<BR> +<BR> +<!--TOC subsection Compiler workarounds--> + +<H3><A NAME="htoc9">3.4</A> Compiler workarounds</H3><!--SEC END --> + +<A NAME="sec:workarounds"></A> +Some compilers flag functions as ambiguous if the only distinguishing factor is a different +condition in an enabler (even though the functions could never be ambiguous). For example, +some compilers (e.g. GCC 3.2) diagnose the following two functions as ambiguous: +<PRE>template <class T> +typename enable_if<boost::is_arithmetic<T>, T>::type +foo(T t); + +template <class T> +typename disable_if<boost::is_arithmetic<T>, T>::type +foo(T t); + +</PRE>Two workarounds can be applied: +<UL><LI> +Use an extra dummy parameter which disambiguates the functions. Use a default value for +it to hide the parameter from the caller. For example: +<PRE>template <int> struct dummy { dummy(int) {} }; + +template <class T> +typename enable_if<boost::is_arithmetic<T>, T>::type +foo(T t, dummy<0> = 0); + +template <class T> +typename disable_if<boost::is_arithmetic<T>, T>::type +foo(T t, dummy<1> = 0); +</PRE><BR> +<BR> +<LI>Define the functions in different namespaces and bring them into a common +namespace with <TT>using</TT> declarations: +<PRE>namespace A { + template <class T> + typename enable_if<boost::is_arithmetic<T>, T>::type + foo(T t); +} + +namespace B { + template <class T> + typename disable_if<boost::is_arithmetic<T>, T>::type + foo(T t); +} + +using A::foo; +using B::foo; + +</PRE> +Note that the second workaround above cannot be used for member +templates. On the other hand, operators do not accept extra arguments, +which makes the first workaround unusable. As the net effect, +neither of the workarounds are of assistance for templated operators that +need to be defined as member functions (assignment and +subscript operators). +</UL> +<!--TOC section Acknowledgements--> + +<H2><A NAME="htoc10">4</A> Acknowledgements</H2><!--SEC END --> + +We are grateful to Howard Hinnant, Jason Shirk, Paul Mensonides, and Richard +Smith whose findings have influenced the library.<BR> +<BR> +<!--TOC section References--> + +<H2>References</H2><!--SEC END --> +<DL COMPACT=compact><DT><A NAME="jarvi:03:cuj_arbitrary_overloading"><FONT COLOR=purple>[1]</FONT></A><DD> +Jaakko Järvi, Jeremiah Willcock, Howard Hinnant, and Andrew Lumsdaine. +Function overloading based on arbitrary properties of types. +<EM>C/C++ Users Journal</EM>, 21(6):25--32, June 2003.<BR> +<BR> +<DT><A NAME="jarvi:03:c++typeclasses"><FONT COLOR=purple>[2]</FONT></A><DD> +Jaakko Järvi, Jeremiah Willcock, and Andrew Lumsdaine. +Concept-controlled polymorphism. +In Frank Pfennig and Yannis Smaragdakis, editors, <EM>Generative + Programming and Component Engineering</EM>, volume 2830 of <EM>LNCS</EM>, pages + 228--244. Springer Verlag, September 2003.<BR> +<BR> +<DT><A NAME="vandevoorde2002:templates"><FONT COLOR=purple>[3]</FONT></A><DD> +David Vandevoorde and Nicolai M. Josuttis. +<EM>C++ Templates: The Complete Guide</EM>. +Addison-Wesley, 2002.</DL> + + + + + +<hr></hr> + +<B>Contributed by:</B> <BR> +Jaakko Järvi, Jeremiah Willcock and Andrew Lumsdaine<BR> +<EM>{jajarvi|jewillco|lums}@osl.iu.edu</EM><BR> +Indiana University<BR> +Open Systems Lab +<!--HTMLFOOT--> +<!--ENDHTML--> +<!--FOOTER--> +<HR SIZE=2> +<BLOCKQUOTE><EM>This document was translated from L<sup>A</sup>T<sub>E</sub>X by +</EM><A HREF="http://pauillac.inria.fr/~maranget/hevea/index.html"><EM>H<FONT SIZE=2><sup>E</sup></FONT>V<FONT SIZE=2><sup>E</sup></FONT>A</EM></A><EM>. +</EM></BLOCKQUOTE> +</BODY> +</HTML> diff --git a/ml/dlib/docs/docs/face_landmarking_example.png b/ml/dlib/docs/docs/face_landmarking_example.png Binary files differnew file mode 100644 index 000000000..27f70ecbf --- /dev/null +++ b/ml/dlib/docs/docs/face_landmarking_example.png diff --git a/ml/dlib/docs/docs/faq.xml b/ml/dlib/docs/docs/faq.xml new file mode 100644 index 000000000..dbec1b847 --- /dev/null +++ b/ml/dlib/docs/docs/faq.xml @@ -0,0 +1,547 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Frequently Asked Questions</title> + + <!-- ************************************************************************* --> + <questions group="General"> + + <question text="Why do I get USER_ERROR__inconsistent_build_configuration__see_dlib_faq_1?"> + You are getting this error because you are not compiling all the C++ + code in your program with consistent settings. This is a violation of + <a href="https://en.wikipedia.org/wiki/One_Definition_Rule">C++'s One Definition Rule</a>. + In this case, you are compiling some translation units with dlib's + assert macros enabled and others with them disabled. + <p> + For reference, the code that generates this error is: + <a href="dlib/test_for_odr_violations.h.html">dlib/test_for_odr_violations.h</a> and + <a href="dlib/test_for_odr_violations.cpp.html">dlib/test_for_odr_violations.cpp</a>. + </p> + </question> + + + <question text="Why do I get USER_ERROR__inconsistent_build_configuration__see_dlib_faq_2?"> + You are getting this error because you are not compiling all the C++ + code in your program with consistent settings. This is a violation of + <a href="https://en.wikipedia.org/wiki/One_Definition_Rule">C++'s One Definition Rule</a>. + In this case, you compiled a standalone copy of dlib with CMake and instead of using <tt>make install</tt> + or <tt>cmake --build . --target install</tt> to copy the resulting build files somewhere you went + and cherry picked files manually and messed it up. In particular, CMake compiled dlib + with a bunch of settings recorded in the CMake generated config.h file but you instead + are now trying to build more dlib related code with the + <a href="dlib/config.h.html">dlib/config.h</a> from source control. + <p> + For reference, the code that generates this error is: + <a href="dlib/test_for_odr_violations.h.html">dlib/test_for_odr_violations.h</a> and + <a href="dlib/test_for_odr_violations.cpp.html">dlib/test_for_odr_violations.cpp</a>. + </p> + </question> + + <question text="It doesn't work?"> + Do not post a question like "I'm using dlib, and it doesn't work?" or + "I'm using the object detector and it doesn't work, what do I do?". + If this is all you say then I have no idea what is wrong. 99% of the + time it's some kind of user error. 1% of the time it's some problem + in dlib. But again, without more information it's impossible to know. + So please don't post questions like this. + + <p> + If you think you found some kind of bug or problem in dlib then feel + free to submit a dlib issue on <a href="https://github.com/davisking/dlib/issues">github</a>. + But include the version of dlib you are using, what you + are trying, what happened, what you expected to have happened instead, etc. + </p> + + <p> + On the other hand, if you haven't found a bug or problem in dlib, but + instead are looking for machine learning/computer vision/programming + help then post your question to <a href="http://stackoverflow.com/questions/tagged/dlib">stack overflow with the dlib tag</a>. + </p> + </question> + + <question text="How can I use dlib in Visual Studio?"> + <p> + First, note that you need a version of Visual Studio with decent + C++11 support. This means you need Visual Studio 2015 or newer. + </p> + There are instructions on the <a href="compile.html">How to Compile</a> page. + If you do not understand the instructions in the "<b>Compiling on Windows Using Visual Studio</b>" section + or are getting errors then follow the instructions in the "<b>Compiling on Any Operating System Using CMake</b>" + section. In particular, <a href="http://www.cmake.org/download/">install CMake</a> and then type + these exact commands from within the root of the dlib distribution: +<code_box> +cd examples +mkdir build +cd build +del /F /S /Q * +cmake .. +cmake --build . --config Release +</code_box> + That should compile the dlib examples in visual studio. The output executables will appear in the Release folder. + The <tt>del /F /S /Q *</tt> command is to make sure you clear out any extraneous files you might have placed in + the build folder and is not necessary if build begins empty. + </question> + + <!-- ****************************************** --> + + <question text="Why is dlib slow?"> + Dlib isn't slow. I get this question many times a week and 95% of the time it's from someone + using Visual Studio who has compiled their program in Debug mode rather than the optimized + Release mode. So if you are using Visual Studio then realize that Visual Studio has these two modes. + The default is Debug. The mode is selectable via a drop down: + <p><img src="vs_mode_1.png"/></p> + Debug mode disables compiler optimizations. So the program will be very slow if you run it in Debug mode. + So click the drop down, + <p><img src="vs_mode_2.png"/></p> + and select Release. + <p><img src="vs_mode_3.png"/></p> + Then when you compile the program it will appear in a folder named Release rather than in a folder named Debug. + + <br/> + <br/> + Finally, you can enable either SSE4 or AVX instruction use. These will make certain operations much faster (e.g. face detection). + You do this using <a href="http://www.cmake.org/download/">CMake</a>'s cmake-gui tool. For example, if you execute + these commands you will get the cmake-gui screen: +<code_box> +cd examples +mkdir build +cd build +cmake .. +cmake-gui . +</code_box> + Which looks like this: + <p><img src="vs-cmake-gui.png"/></p> + Where you can select SSE4 or AVX instruction use. Then you click configure and then generate. After that + when you build your visual studio project some things will be faster. + + Finally, note that AVX is a little bit faster than SSE4 but if your computer is fairly old it might + not support it. In that case, either buy a new computer or use SSE4 + instructions. + </question> + + <!-- ****************************************** --> + + + + <question text="How can I cite dlib?"> + If you use dlib in your research then please use the following citation: + <br/> + <br/> +Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09a.pdf">Dlib-ml: A Machine Learning Toolkit</a>. + <i>Journal of Machine Learning Research</i> 10, pp. 1755-1758, 2009 + <br/> + <pre> + +@Article{dlib09, + author = {Davis E. King}, + title = {Dlib-ml: A Machine Learning Toolkit}, + journal = {Journal of Machine Learning Research}, + year = {2009}, + volume = {10}, + pages = {1755-1758}, +} + </pre> + </question> + + <!-- ****************************************** --> + + + + <question text="Why isn't serialization working?"> + Here are the possibilities: + <ul> + <li>You are using a file stream and forgot to put it into binary mode. + You need to do something like this: +<code_box> +std::ifstream fin("myfile", std::ios::binary); +</code_box> +or +<code_box> +std::ofstream fout("myfile", std::ios::binary); +</code_box> + +If you don't give <tt>std::ios::binary</tt> then the iostream will mess with the binary data and cause serialization +to not work right. + </li> + + <br/> + <li>The iostream is in a bad state. You can check the state by calling <tt>mystream.good()</tt>. + If it returns false then the stream is in an error state such as end-of-file or maybe it failed + to do the I/O. Also note that if you close a file stream and reopen it you might have to call + <tt>mystream.clear()</tt> to clear out the error flags. + </li> + </ul> + + </question> + <!-- ****************************************** --> + + <question text="How do I set the size of a matrix at runtime?"> + Long answer, read the <a href="matrix_ex.cpp.html">matrix example program</a>. + <br/><br/> + Short answer, here are some examples: +<code_box> +matrix<double> mat; +mat.set_size(4,5); + +matrix<double,0,1> column_vect; +column_vect.set_size(6); + +matrix<double,0,1> column_vect2(6); // give size to constructor + +matrix<double,1> row_vect; +row_vect.set_size(5); +</code_box> + + </question> + <!-- ****************************************** --> + + <question text="Where is the documentation for <object/function>?"> + If you can't find something then check the <a href="term_index.html">index</a>. + <br/><br/> + Also, the bulk of the documentation can be found by following the + <more_details/> links. + </question> + + + <!-- ****************************************** --> + + <question text="How does dlib interface with other libraries/tools?"> + There should never be anything in dlib that prevents you from using or + interacting with other libraries. Moreover, there are some additional tools + in dlib to make some interactions easier: + + <ul> + <li><b>BLAS and LAPACK libraries</b> are used by the <a href="linear_algebra.html#matrix">matrix</a> + automatically if you <tt>#define</tt> DLIB_USE_BLAS and/or DLIB_USE_LAPACK and link against + the appropriate library files. Note that the CMakeLists.txt file that comes with dlib will + do this for you automatically in many instances.</li><br/> + + <li><b>Armadillo and Eigen libraries</b> have matrix objects which can be converted into + dlib matrix objects by calling dlib::mat() on them.</li><br/> + + <li><b>OpenCV</b> image objects can be converted into a form usable by dlib routines + by using <a href="imaging.html#cv_image">cv_image</a>. You can also convert from a + dlib matrix or image to an OpenCV Mat using dlib::<a href="imaging.html#toMat">toMat</a>().</li><br/> + + <li><b>Google Protocol Buffers</b> can be serialized by the dlib + <a href="other.html#serialize">serialization</a> routines. + This means that, for example, you can pass protocol buffer objects through a + <a href="network.html#bridge">bridge</a>. + </li><br/> + + <li><b>libpng and libjpeg</b> are used by <a + href="imaging.html#load_image">load_image</a> whenever + DLIB_PNG_SUPPORT and DLIB_JPEG_SUPPORT are defined respectively. + You must also tell your compiler to link against these libraries to + use them. However, CMake will try to link against them + automatically if they are installed.</li><br/> + + <!--<li><b>FFTW</b> is used by the fft() and ifft() routines if you #define DLIB_USE_FFTW and + link to fftw3. Otherwise dlib uses its own slower default implementation. </li><br/> --> + + <li><b>SQLite</b> is used by the <a href="other.html#database">database</a> object. In + fact, it is just a wrapper around SQLite's C interface which simplifies its use (e.g. + makes resource management use RAII).</li> + + </ul> + </question> + + </questions> + + + + + <!-- ************************************************************************* --> + + <questions group="Machine Learning"> + + <question text="Why is RVM training is really slow?"> + The optimization algorithm is somewhat unpredictable. Sometimes it is fast and + sometimes it is slow. What usually makes it really slow is if you use a radial basis + kernel and you set the gamma parameter to something too large. This causes the + algorithm to start using a whole lot of relevance vectors (i.e. basis vectors) which + then makes it slow. The algorithm is only fast as long as the number of relevance vectors + remains small but it is hard to know beforehand if that will be the case. + <p> + You should try <a href="ml.html#krr_trainer">kernel ridge regression</a> instead since it + also doesn't take any parameters but is always very fast. + </p> + + </question> + + <!-- ****************************************** --> + + <question text="Why is cross_validate_trainer_threaded() crashing?"> + This function makes a copy of your training data for each thread. So you are probably running out + of memory. To avoid this, use the <a href="algorithms.html#randomly_subsample">randomly_subsample</a> function + to reduce the amount of data you are using or use fewer threads. + <p> + For example, you could reduce the amount of data by saying this: +<code_box> +// reduce to only 1000 samples +cross_validate_trainer_threaded(trainer, + randomly_subsample(samples, 1000), + randomly_subsample(labels, 1000), + 4, // num folds + 4); // num threads +</code_box> + </p> + </question> + + <!-- ****************************************** --> + + <question text="How can I define a custom kernel?"> + See the <a href="using_custom_kernels_ex.cpp.html">Using Custom Kernels</a> example program. + </question> + + <!-- ****************************************** --> + + <question text="Can you give advice on feature generation/kernel selection?"> + <p> + Picking the right kernel all comes down to understanding your data, and obviously this is + highly dependent on your problem. + </p> + + <p> + One thing that's sometimes useful is to plot each feature against the target value. You can get an idea of + what your overall feature space looks like and maybe tell if a linear kernel is the right solution. But + this still hides important information from you. For example, imagine you have two diagonal lines which + are very close together and are both the same length. Suppose one line is of the +1 class and the other is the -1 + class. Each feature (the x or y coordinate values) by itself tells you almost nothing about which class + a point belongs to but together they tell you everything you need to know. + </p> + + <p> + On the other hand, if you know something about the data you are working with then you can also try and + generate your own features. So for example, if your data is a bunch of images and you know that one + of your classes contains a lot of lines then you can make a feature that attempts to measure the number + of lines in an image using a hough transform or sobel edge filter or whatever. Generally, try and + think up features which should be highly correlated with your target value. A good way to do this is + to try and actually hand code N solutions to the problem using whatever you know about your data or + domain. If you do a good job then you will have N really great features and a linear or rbf kernel + will probably do very well when using them. + </p> + + <p> + Or you can just try a whole bunch of kernels, kernel parameters, and training algorithm options while + using cross validation. I.e. when in doubt, use brute force :) There is an example of that kind of + thing in the <a href="model_selection_ex.cpp.html">model selection</a> example program. + </p> + </question> + + <!-- ****************************************** --> + + <question text="Why does my decision_function always give the same output?"> + This happens when you use the radial_basis_kernel and you set the gamma value to + something highly inappropriate. To understand what's happening lets imagine your + data has just one feature and its value ranges from 0 to 7. Then what you want is a + gamma value that gives nice Gaussian bumps like the one in this graph: <br/> + + <center><image src="rbf_normal.gif"/></center> + + <br/> + However, if you make gamma really huge you will get this (it's zero everywhere except for one place): + <br/> + <center><image src="rbf_big_gamma.gif"/></center> + + <br/> + Or if you make gamma really small then it will be 1.0 everywhere: + <br/> + <center><image src="rbf_small_gamma.gif"/></center> + + <p> + So you need to pick the gamma value so that it is scaled reasonably to your data. A <i><font color="red">good rule of + thumb (i.e. not the optimal gamma, just a heuristic guess)</font></i> is the following: + </p> + <code_box>const double gamma = 1.0/compute_mean_squared_distance(randomly_subsample(samples, 2000));</code_box> + + </question> + + <!-- ****************************************** --> + + </questions> + + <!-- ************************************************************************* --> + + + <questions group="Computer Vision"> + <question text="Why doesn't the object detector I trained work?"> + There are three general mistakes people make when trying to train an object detector with dlib. + <ul> + <li><h3>Not labeling all the objects in each image</h3> + The tools for training object detectors in dlib use the <a href="https://arxiv.org/abs/1502.00046">Max-Margin Object Detection</a> + loss. This loss optimizes the performance of the detector on the whole image, not on some subset of windows cropped from the training data. + That means it counts the number of missed detections and false alarms for each of the training images and tries to find a way + to minimize the sum of these two error metrics. For this to be possible, <b>you must label all the objects in each training image</b>. + If you leave unannotated objects in some of your training images then the loss will think any detections on these unannotated objects + are false alarms, and will therefore try to find a detector that doesn't detect them. If you have enough unannotated objects, the + most accurate detector will be the one that never detects anything. That's obviously not what you want. So make sure you annotate all the + objects in each image. + <p> + Sometimes annotating all the objects in each image is too + onerous, or there are ambiguous objects you don't care about. + In these cases you should annotate these objects you don't + care about with ignore boxes so that the MMOD loss knows to + ignore them. You can do this with dlib's imglab tool by + selecting a box and pressing i. Moreover, there are two ways + the code treats ignore boxes. When a detector generates a + detection it compares it against any ignore boxes and ignores + it if the boxes "overlap". Deciding if they overlap is based + on either their intersection over union or just basic percent + coverage of one by another. You have to think about what + mode you want when you annotate things and configure the + training code appropriately. The default behavior is to use + intersection over union to measure overlap. However, if you + wanted to simply mask out large parts of an image you + wouldn't want to use intersection over union to measure + overlap since small boxes contained entirely within the large + ignored region would have small IoU with the big ignore region and thus not "overlap" + the ignore region. In this case you should change the + settings to reflect this before training. The available configuration + options are discussed in great detail in parts of <a href="#Whereisthedocumentationforobjectfunction">dlib's documentation</a>. + </p> + </li> + + <li><h3>Using training images that don't look like the testing images</h3> + This should be obvious, but needs to be pointed out. If there + is some clear difference between your training and testing + images then you have messed up. You need to show the training + algorithm real images so it can learn what to do. If instead + you only show it images that look obviously different from your + testing images don't be surprised if, when you run the detector + on the testing images, it doesn't work. As a rule of thumb, + <b>a human should not be able to tell if an image came from the training dataset or testing dataset</b>. + + <p> + Here are some examples of bad datasets: + <ul> + <li>A training dataset where objects always appear with + some specific orientation but the testing images have a + diverse set of orientations.</li> + <li>A training dataset where objects are tightly cropped, but testing images that are uncropped.</li> + <li>A training dataset where objects appear only on a perfectly white background with nothing else present, but testing images where objects appear in a normal environment like living rooms or in natural scenes.</li> + </ul> + </p> + + <p> + Another way you can mess this up is when using the <a + href="imaging.html#random_cropper">random_cropper</a> to jitter your training data, which is + common when training a CNN or other deep model. In general, the random_cropper finds images + that are more or less centered on your objects of interest and it also scales the images so + the object has some user specified minimum size. That's all fine. But what can happen is + you train a model that gets 0 training error but when you go and use it it doesn't detect + any objects. Why is that? It's probably because all the objects in your normal images, the + ones you give to the random_cropper, are really small. Smaller than the min size you told + the cropper to make them. So now your testing images are really different from your training + images. Moreover, in general object detectors have some minimum size they scan and if + objects are smaller than that they will never be found. Another related issue is all your + uncropped images might show objects at the very border of the image. But the random_cropper + will center the objects in the crops, by padding with zeros if necessary. Again, <b>make your + testing images look like the training images</b>. Pad the edges of your images with zeros if + needed. + </p> + </li> + + <li><h3>Using a HOG based detector but not understanding the limits of HOG templates</h3> + The <a href="fhog_object_detector_ex.cpp.html">HOG detector</a> is very fast and generally easy to train. However, you + have to be aware that HOG detectors are essentially rigid templates that are scanned over an image. So a single HOG detector + isn't going to be able to detect objects that appear in a wide range of orientations or undergo complex deformations or have complex + articulation. + <p> + For example, a HOG detector isn't going to be able to learn to detect human faces that are upright as well as faces rotated 90 degrees. + If you wanted to deal with that you would be best off training 2 detectors. One for upright faces and another for 90 degree rotated faces. + You can efficiently run multiple HOG detectors at once using the <a href="imaging.html#evaluate_detectors">evaluate_detectors</a> function, so it's not a huge deal to do this. Dlib's imglab tool also has a --cluster option that will help you split a training dataset into clusters that can + be detected by a single HOG detector. You will still need to manually review and clean the dataset after applying --cluster, but it makes + the process of splitting a dataset into coherent poses, from the point of view of HOG, a lot easier. + </p> + <p> + A related issue arises because HOG is a rigid template, which is that the boxes in your training data need to all have essentially the same + aspect ratio. For instance, a single HOG filter can't possibly detect objects that are both 100x50 pixels and 50x100 pixels. To do this you + would need to split your dataset into two parts, objects with a 2:1 aspect ratio and objects with a 1:2 aspect ratio and then train two separate + HOG detectors, one for each aspect ratio. + </p> + <p> + However, it should be emphasized that even using multiple HOG detectors will only get you so far. So at some point you should consider + using a <a href="ml.html#loss_mmod_">CNN based detection method</a> since CNNs can generally deal with arbitrary + rotations, poses, and deformations with one unified + detector. + </p> + </li> + </ul> + </question> + </questions> + + <!-- ************************************************************************* --> + + <questions group="Deep Learning"> + <question text="Why can't I use the DNN module with Visual Studio?"> + You can, but you need to use Visual Studio 2015 Update 3 or newer since prior versions + had bad C++11 support. To make this as confusing as possible, + Microsoft has released multiple different versions of "Visual Studio + 2015 Update 3". As of October 2016, the version available from the + Microsoft web page has good enough C++11 support to compile the DNN + tools in dlib. So make sure you have a version no older than October + 2016. + <p> + To make this even more complicated, Visual Studio 2017 had + regressions in its C++11 support. So all versions of Visual Studio + 2017 prior to December 2017 would just hang if you tried to compile + the DNN examples. Happily, the newest versions of Visual Studio + 2017 appear to have good C++11 support and will compile the DNN + codes without any issue. So make sure your Visual Studio is + fully updated. + </p> + <p> + Finally, it should be noted that you should give the <tt>-T host=x64</tt> + cmake option when generating a Visual Studio project. If you don't + do this then you will get the default Visual Studio toolchain, + <b>which runs the compiler in 32bit mode, restricting it to 2GB of + RAM, leading to compiler crashes due to it running out of RAM in some + cases</b>. This isn't the 1990s anymore, so you should probably + run your compiler in 64bit mode so it can use your computer's RAM. + Giving <tt>-T host=x64</tt> will let Visual Studio use as much RAM + as it needs. + </p> + </question> + + <question text="Why can't I change the network architecture at runtime?"> + A major design goal of this API is to let users create new loss + layers, computational layers, and solvers without needing to + understand or even look at the dlib internals. A lot of the API + decisions are based on what makes the interface a user needs to + implement to create new layers as simple as possible. In particular, + designing the API in this compile-time static way makes it simple for + these use cases. + <p> + Here is an example of one problem it addresses. Since dlib + exposes the entire network architecture to the C++ type system we + can get automatic serialization of networks. Without this, we + would have to resort to the kind of hacky global layer registry + used in other tools that compose networks entirely at runtime. + </p> + <p> + Another nice feature is that we get to use C++11 alias template + statements to create network sub-blocks, which we can then use to easily + define very large networks. There are examples of this in <a + href="dnn_introduction2_ex.cpp.html">this example program</a>. It + should also be pointed out that it takes days or even weeks to + train one network. So it isn't as if you will be writing a + program that loops over large numbers of networks and trains them + all. This makes the time needed to recompile a program to change + the network irrelevant compared to the entire training time. + Moreover, there are plenty of compile time constructs in C++ you + can use to enumerate network architectures (e.g. loop + over filter widths) if you really wanted to do so. + </p> + <p> + All that said, if you think you found a compelling use case that isn't supported + by the current API feel free to post a <a href="https://github.com/davisking/dlib/issues">github</a> issue. + </p> + </question> + </questions> + + <!-- ************************************************************************* --> + + +</doc> diff --git a/ml/dlib/docs/docs/find_max_global_example.mp4 b/ml/dlib/docs/docs/find_max_global_example.mp4 Binary files differnew file mode 100644 index 000000000..2514abe19 --- /dev/null +++ b/ml/dlib/docs/docs/find_max_global_example.mp4 diff --git a/ml/dlib/docs/docs/find_max_global_example.png b/ml/dlib/docs/docs/find_max_global_example.png Binary files 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style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathSymbols9;-inkscape-font-specification:LMMathSymbols9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="78.208733" + y="18.259945"><tspan + id="tspan810" + y="18.259945" + x="78.208733">±</tspan></text> +<text + id="text812" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="83.254509" + y="18.259945"><tspan + id="tspan814" + sodipodi:role="line" + y="18.259945" + x="83.254509 86.4981 89.741692 92.985283 96.228874 99.472466 111.52596 114.76955 118.01314 121.25673 124.50032 127.74391 130.9875">31805)730957(</tspan></text> +<text + id="text816" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathSymbols9;-inkscape-font-specification:LMMathSymbols9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="133.51018" + y="18.259945"><tspan + id="tspan818" + y="18.259945" + x="133.51018">±</tspan></text> +<text + id="text820" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="138.55595" + y="18.259945"><tspan + id="tspan822" + sodipodi:role="line" + y="18.259945" + x="138.55595 141.79955 145.04314 148.28673 151.53032 154.77391 158.0175 170.07098">703887)3</tspan></text> +<text + id="text824" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathItalic9;-inkscape-font-specification:LMMathItalic9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="173.31531" + y="18.259945"><tspan + id="tspan826" + y="18.259945" + x="173.31531">.</tspan></text> +<text + id="text828" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="175.11737" + y="18.259945"><tspan + id="tspan830" + y="18.259945" + x="175.11737">7</tspan></text> +<text + id="text832" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathSymbols9;-inkscape-font-specification:LMMathSymbols9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="177.64026" + y="18.259945"><tspan + id="tspan834" + y="18.259945" + x="177.64026">×</tspan></text> +<text + id="text836" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="181.96449" + y="18.259945"><tspan + id="tspan838" + sodipodi:role="line" + y="18.259945" + x="181.96449 185.2081">10</tspan></text> +<text + id="text840" + style="font-variant:normal;font-weight:normal;font-size:4.20781183px;font-family:LMRoman6;-inkscape-font-specification:LMRoman6-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="188.45192" + y="15.578674"><tspan + id="tspan842" + y="15.578674" + x="188.45192">6</tspan></text> +<text + id="text844" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="191.37393" + y="18.259945"><tspan + id="tspan846" + y="18.259945" + x="191.37393">(</tspan></text> +<text + id="text848" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathSymbols9;-inkscape-font-specification:LMMathSymbols9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="193.8961" + y="18.259945"><tspan + id="tspan850" + y="18.259945" + x="193.8961">±</tspan></text> +<text + id="text852" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="198.94188" + y="18.259945"><tspan + id="tspan854" + y="18.259945" + x="198.94188">3</tspan></text> +<text + id="text856" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathItalic9;-inkscape-font-specification:LMMathItalic9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="202.18559" + y="18.259945"><tspan + id="tspan858" + y="18.259945" + x="202.18559">.</tspan></text> +<text + id="text860" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="203.98695" + y="18.259945"><tspan + id="tspan862" + y="18.259945" + x="203.98695">7</tspan></text> +<text + id="text864" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathSymbols9;-inkscape-font-specification:LMMathSymbols9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="206.50983" + y="18.259945"><tspan + id="tspan866" + y="18.259945" + x="206.50983">×</tspan></text> +<text + id="text868" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="210.83478" + y="18.259945"><tspan + id="tspan870" + sodipodi:role="line" + y="18.259945" + x="210.83478 214.07837">10</tspan></text> +<text + id="text872" + style="font-variant:normal;font-weight:normal;font-size:4.20781183px;font-family:LMRoman6;-inkscape-font-specification:LMRoman6-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="217.32149" + y="15.578674"><tspan + id="tspan874" + y="15.578674" + x="217.32149">6</tspan></text> +<text + id="text876" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="220.24352" + y="18.259945"><tspan + id="tspan878" + sodipodi:role="line" + y="18.259945" + x="220.24352 234.38617">)2</tspan></text> +<text + id="text880" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathSymbols9;-inkscape-font-specification:LMMathSymbols9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="236.90906" + y="18.259945"><tspan + id="tspan882" + y="18.259945" + x="236.90906">×</tspan></text> +<text + id="text884" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="241.23399" + y="18.259945"><tspan + id="tspan886" + sodipodi:role="line" + y="18.259945" + x="241.23399 244.47758">10</tspan></text> +<text + id="text888" + style="font-variant:normal;font-weight:normal;font-size:4.20781183px;font-family:LMRoman6;-inkscape-font-specification:LMRoman6-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="247.7207" + y="15.578674"><tspan + id="tspan890" + y="15.578674" + x="247.7207">7</tspan></text> +<text + id="text892" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="250.64272" + y="18.259945"><tspan + id="tspan894" + y="18.259945" + x="250.64272">(</tspan></text> +<text + id="text896" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathSymbols9;-inkscape-font-specification:LMMathSymbols9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="253.1656" + y="18.259945"><tspan + id="tspan898" + y="18.259945" + x="253.1656">±</tspan></text> +<text + id="text900" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="258.21069" + y="18.259945"><tspan + id="tspan902" + y="18.259945" + x="258.21069">2</tspan></text> +<text + id="text904" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathSymbols9;-inkscape-font-specification:LMMathSymbols9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="260.73355" + y="18.259945"><tspan + id="tspan906" + y="18.259945" + x="260.73355">×</tspan></text> +<text + id="text908" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="265.0585" + y="18.259945"><tspan + id="tspan910" + sodipodi:role="line" + y="18.259945" + x="265.0585 268.30209">10</tspan></text> +<text + id="text912" + style="font-variant:normal;font-weight:normal;font-size:4.20781183px;font-family:LMRoman6;-inkscape-font-specification:LMRoman6-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="271.54523" + y="15.578674"><tspan + id="tspan914" + y="15.578674" + x="271.54523">7</tspan></text> +<text + id="text916" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="274.46725" + y="18.259945"><tspan + id="tspan918" + sodipodi:role="line" + y="18.259945" + x="274.46725 288.60989">)1</tspan></text> +<text + id="text920" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathItalic9;-inkscape-font-specification:LMMathItalic9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="291.85361" + y="18.259945"><tspan + id="tspan922" + y="18.259945" + x="291.85361">.</tspan></text> +<text + id="text924" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="293.65567" + y="18.259945"><tspan + id="tspan926" + y="18.259945" + x="293.65567">6</tspan></text> +<text + id="text928" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathSymbols9;-inkscape-font-specification:LMMathSymbols9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="296.17856" + y="18.259945"><tspan + id="tspan930" + y="18.259945" + x="296.17856">×</tspan></text> +<text + id="text932" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="300.50278" + y="18.259945"><tspan + id="tspan934" + sodipodi:role="line" + y="18.259945" + x="300.50278 303.74637">10</tspan></text> +<text + id="text936" + style="font-variant:normal;font-weight:normal;font-size:4.20781183px;font-family:LMRoman6;-inkscape-font-specification:LMRoman6-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="306.9902" + y="15.578674"><tspan + id="tspan938" + y="15.578674" + x="306.9902">6</tspan></text> +<text + id="text940" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="309.91223" + y="18.259945"><tspan + id="tspan942" + y="18.259945" + x="309.91223">(</tspan></text> +<text + id="text944" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathSymbols9;-inkscape-font-specification:LMMathSymbols9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="312.43439" + y="18.259945"><tspan + id="tspan946" + y="18.259945" + x="312.43439">±</tspan></text> +<text + id="text948" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="317.48016" + y="18.259945"><tspan + id="tspan950" + y="18.259945" + x="317.48016">1</tspan></text> +<text + id="text952" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathItalic9;-inkscape-font-specification:LMMathItalic9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="320.72388" + y="18.259945"><tspan + id="tspan954" + y="18.259945" + x="320.72388">.</tspan></text> +<text + id="text956" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="322.52524" + y="18.259945"><tspan + id="tspan958" + y="18.259945" + x="322.52524">6</tspan></text> +<text + id="text960" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMMathSymbols9;-inkscape-font-specification:LMMathSymbols9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="325.04813" + y="18.259945"><tspan + id="tspan962" + y="18.259945" + x="325.04813">×</tspan></text> +<text + id="text964" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="329.37308" + y="18.259945"><tspan + id="tspan966" + sodipodi:role="line" + y="18.259945" + x="329.37308 332.61667">10</tspan></text> +<text + id="text968" + style="font-variant:normal;font-weight:normal;font-size:4.20781183px;font-family:LMRoman6;-inkscape-font-specification:LMRoman6-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + transform="scale(1,-1)" + x="335.8598" + y="15.578674"><tspan + id="tspan970" + y="15.578674" + x="335.8598">6</tspan></text> +<text + id="text972" + style="font-variant:normal;font-weight:normal;font-size:6.31171799px;font-family:LMRoman9;-inkscape-font-specification:LMRoman9-Regular;writing-mode:lr-tb;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" + 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\ No newline at end of file diff --git a/ml/dlib/docs/docs/graph_tools.xml b/ml/dlib/docs/docs/graph_tools.xml new file mode 100644 index 000000000..89770fca0 --- /dev/null +++ b/ml/dlib/docs/docs/graph_tools.xml @@ -0,0 +1,678 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Graph Tools</title> + + <!-- ************************************************************************* --> + + <body> + + <p> + In dlib, there are two types of graph representations. On the one + hand, there are graphs based on an object which encapsulates the whole + graph, such as the <a href="containers.html#graph">graph</a> and + <a href="containers.html#directed_graph">directed_graph</a> objects. On the + other hand, there are graphs which are represented as simple vectors + of edges. In this case, we use vectors of <a href="#sample_pair">sample_pair</a> + or <a href="#ordered_sample_pair">ordered_sample_pair</a> objects for undirected + and directed graphs respectively. + </p> + + + </body> + + <!-- ************************************************************************* --> + + <menu width="150"> + <top> + <section> + <name>Graph Object Based Graphs</name> + <item>graph_contains_directed_cycle</item> + <item>graph_has_symmetric_edges</item> + <item>graph_contains_undirected_cycle</item> + <item>create_moral_graph</item> + <item>triangulate_graph_and_find_cliques</item> + <item>graph_contains_length_one_cycle</item> + <item>find_connected_nodes</item> + <item>graph_is_connected</item> + <item>is_clique</item> + <item>is_maximal_clique</item> + <item>copy_graph_structure</item> + <item>copy_graph</item> + <item>edge</item> + <item>is_join_tree</item> + <item>create_join_tree</item> + </section> + + + <section> + <name>Creating Edge List Based Graphs</name> + <item>sample_pair</item> + <item>ordered_sample_pair</item> + <item>find_percent_shortest_edges_randomly</item> + <item>find_k_nearest_neighbors</item> + <item>find_k_nearest_neighbors_lsh</item> + <item>find_approximate_k_nearest_neighbors</item> + <item nolink="true"> + <name>Distance Functions</name> + <sub> + <item>negative_dot_product_distance</item> + <item>squared_euclidean_distance</item> + <item>cosine_distance</item> + </sub> + </item> + </section> + + <section> + <name>Using Edge List Based Graphs</name> + <item>remove_short_edges</item> + <item>remove_duplicate_edges</item> + <item>remove_long_edges</item> + <item>remove_percent_longest_edges</item> + <item>remove_percent_shortest_edges</item> + <item>use_weights_of_one</item> + <item>use_gaussian_weights</item> + <item>is_ordered_by_index</item> + <item>find_neighbor_ranges</item> + <item>convert_unordered_to_ordered</item> + <item>order_by_index</item> + <item>order_by_distance</item> + <item>order_by_descending_distance</item> + <item>order_by_distance_and_index</item> + <item>contains_duplicate_pairs</item> + <item>max_index_plus_one</item> + </section> + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + <!-- ************************************************************************* --> + + <component> + <name>order_by_index</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/sample_pair_abstract.h</spec_file> + <description> + This function provides a total ordering of <a href="#sample_pair">sample_pair</a> + or <a href="#ordered_sample_pair">ordered_sample_pair</a> + objects that will cause pairs that represent the same edge to be adjacent + when sorted. So for example, this function can be used + with std::sort() to first sort a sequence of sample_pair objects and then + find duplicate edges. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>order_by_distance</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/sample_pair_abstract.h</spec_file> + <description> + This function provides a total ordering of <a href="#sample_pair">sample_pair</a> + or <a href="#ordered_sample_pair">ordered_sample_pair</a> objects that causes + pairs with smallest distance to be the first in a sorted list. This function + can be used with std::sort(). + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>order_by_descending_distance</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/sample_pair_abstract.h</spec_file> + <description> + This function provides a total ordering of <a href="#sample_pair">sample_pair</a> + or <a href="#ordered_sample_pair">ordered_sample_pair</a> objects that causes + pairs with largest distance to be the first in a sorted list. This function + can be used with std::sort(). + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>order_by_distance_and_index</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/sample_pair_abstract.h</spec_file> + <description> + This function provides a total ordering of <a href="#sample_pair">sample_pair</a> or + <a href="#ordered_sample_pair">ordered_sample_pair</a> objects that causes pairs + with smallest distance to be the first in a sorted list but also orders + samples with equal distances according to order_by_index(). This function + can be used with std::sort(). + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>contains_duplicate_pairs</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This function checks if a std::vector of <a href="#sample_pair">sample_pair</a> or + <a href="#ordered_sample_pair">ordered_sample_pair</a> objects + contains any edge more than once. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>max_index_plus_one</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This function finds the number that is one greater than the largest index + value in a std::vector of <a href="#sample_pair">sample_pair</a> or + <a href="#ordered_sample_pair">ordered_sample_pair</a> objects. Therefore, + it is useful for finding out how many nodes are in an edge list graph (assuming + the graph contains all node indices from 0 to the largest index indicated + by an edge). + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sample_pair</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/sample_pair_abstract.h</spec_file> + <description> + This object is intended to represent an edge in an undirected graph + which has data samples at its vertices. Therefore, it is the undirected version + of <a href="#ordered_sample_pair">ordered_sample_pair</a>. + </description> + + <examples> + <example>linear_manifold_regularizer_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>ordered_sample_pair</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/ordered_sample_pair_abstract.h</spec_file> + <description> + This object is intended to represent an edge in a directed graph + which has data samples at its vertices. Therefore, it is the directed version + of <a href="#sample_pair">sample_pair</a>. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_percent_shortest_edges_randomly</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This function is a simple approximate form of <a href="#find_k_nearest_neighbors">find_k_nearest_neighbors</a>. + Instead of checking all possible edges it randomly samples a large number of them and + then returns the best ones. + </description> + + <examples> + <example>linear_manifold_regularizer_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_k_nearest_neighbors</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This is a function which finds all the k nearest neighbors of a set of points and outputs + the result as a vector of <a href="#sample_pair">sample_pair</a> objects. It takes O(n^2) time where + n is the number of data samples. A faster approximate version is provided by + <a href="#find_approximate_k_nearest_neighbors">find_approximate_k_nearest_neighbors</a> + and <a href="#find_k_nearest_neighbors_lsh">find_k_nearest_neighbors_lsh</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_k_nearest_neighbors_lsh</name> + <file>dlib/graph_utils_threaded.h</file> + <spec_file link="true">dlib/graph_utils/find_k_nearest_neighbors_lsh_abstract.h</spec_file> + <description> + This function is a simple approximate form of <a href="#find_k_nearest_neighbors">find_k_nearest_neighbors</a>. + It uses <a href="algorithms.html#hash_similar_angles_128">locality sensitive hashing</a> + to speed up the nearest neighbor computation and is also capable of using a multi-core CPU. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_approximate_k_nearest_neighbors</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This function is a simple approximate form of <a href="#find_k_nearest_neighbors">find_k_nearest_neighbors</a>. + Instead of checking all possible edges it randomly samples a large number of them and then performs + exact k-nearest-neighbors on that randomly selected subset. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>remove_short_edges</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This is a simple function for removing edges with a small distance value from + a vector of <a href="#sample_pair">sample_pair</a> or <a href="#ordered_sample_pair">ordered_sample_pair</a> objects. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>remove_duplicate_edges</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This is a simple function for removing duplicate edges (i.e. edges that compare equal + according to ==) from + a vector of <a href="#sample_pair">sample_pair</a> or <a href="#ordered_sample_pair">ordered_sample_pair</a> objects. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>remove_long_edges</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This is a simple function for removing edges with a large distance value from + a vector of <a href="#sample_pair">sample_pair</a> or <a href="#ordered_sample_pair">ordered_sample_pair</a> objects. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>remove_percent_longest_edges</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This is a simple function for removing edges with a large distance value from + a vector of <a href="#sample_pair">sample_pair</a> or <a href="#ordered_sample_pair">ordered_sample_pair</a> objects. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>remove_percent_shortest_edges</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This is a simple function for removing edges with a small distance value from + a vector of <a href="#sample_pair">sample_pair</a> or <a href="#ordered_sample_pair">ordered_sample_pair</a> objects. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>squared_euclidean_distance</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/function_objects_abstract.h</spec_file> + <description> + This is a simple function object that computes squared euclidean distance + between two <a href="linear_algebra.html#matrix">matrix</a> objects. + </description> + <examples> + <example>linear_manifold_regularizer_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cosine_distance</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/function_objects_abstract.h</spec_file> + <description> + This is a simple function object that computes cosine of the angle between + two vectors. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>negative_dot_product_distance</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/function_objects_abstract.h</spec_file> + <description> + This is a simple function object that computes -dot(v1,v2) for two + vectors v1 and v2. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>use_weights_of_one</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/function_objects_abstract.h</spec_file> + <description> + This is a simple function object that takes a single argument + and always returns 1 + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>use_gaussian_weights</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/function_objects_abstract.h</spec_file> + <description> + This is a simple function object that takes a single argument + which should be an object similar to <a href="#sample_pair">sample_pair</a>. + </description> + <examples> + <example>linear_manifold_regularizer_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_ordered_by_index</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This function checks if a vector of <a href="#sample_pair">sample_pair</a> or + <a href="#ordered_sample_pair">ordered_sample_pair</a> objects is in sorted + order according to their index values. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_neighbor_ranges</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This function takes a graph, defined by a vector of + <a href="#ordered_sample_pair">ordered_sample_pair</a> objects, and finds the + ranges that contain the edges for each node in the graph. The output therefore + lets you easily locate the neighbors of any node in the graph. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>convert_unordered_to_ordered</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/edge_list_graphs_abstract.h</spec_file> + <description> + This function takes a graph, defined by a vector of + <a href="#sample_pair">sample_pair</a> objects and converts it into the equivalent + graph defined by a vector of <a href="#ordered_sample_pair">ordered_sample_pair</a> objects. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>edge</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes a <a href="containers.html#graph">graph</a> or + <a href="containers.html#directed_graph">directed_graph</a> object and a + pair of indices. It returns a reference to the edge object between the two nodes + with the given indices. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_join_tree</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes two <a href="containers.html#graph">graph</a> objects and + checks if the second of the two graphs is a valid join tree (aka tree decomposition) + of the first graph. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>create_join_tree</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes a <a href="containers.html#graph">graph</a> object and + creates a join tree for that graph. Or in other words, this function finds a + tree decomposition of the given graph. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>graph_contains_directed_cycle</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function checks a <a href="containers.html#directed_graph">directed_graph</a> for directed cycles. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>graph_has_symmetric_edges</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function checks if a <a href="containers.html#directed_graph">directed_graph</a> + has a pair of nodes with just one edge between them. If so then it + does not have symmetric edges. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>triangulate_graph_and_find_cliques</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes a <a href="containers.html#graph">graph</a> and + turns it into a chordal graph. It also returns a + <a href="containers.html#set">set</a> that contains + all the cliques present in the chordal graph. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>create_moral_graph</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes a <a href="containers.html#directed_graph">directed_graph</a> + and returns the moralized version of the graph in the form of a + <a href="containers.html#graph">graph</a> object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>graph_contains_length_one_cycle</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes a <a href="containers.html#graph">graph</a> + or <a href="containers.html#directed_graph">directed_graph</a> object and + returns true if and only if the graph contains a node that has an edge that + links back to itself. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_connected_nodes</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes a node from a <a href="containers.html#graph">graph</a> + or <a href="containers.html#directed_graph">directed_graph</a> object and a + <a href="containers.html#set">set</a> of unsigned longs. It finds all the + nodes in the given graph that are connected to the given node by an + undirected path and returns them in the set (also note that the + original query node is also returned in this set). + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>graph_is_connected</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes a <a href="containers.html#graph">graph</a> or + <a href="containers.html#directed_graph">directed_graph</a> object and + determines if the graph is connected. That is, it returns true if and only if + there is an undirected path between any two nodes in the given graph. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_clique</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes a <a href="containers.html#graph">graph</a> and a + <a href="containers.html#set">set</a> of node index values and checks + if the specified set of nodes is a clique in the graph. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>copy_graph</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes a <a href="containers.html#graph">graph</a> or + <a href="containers.html#directed_graph">directed_graph</a> and + makes a copy of it. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>copy_graph_structure</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes a <a href="containers.html#graph">graph</a> or + <a href="containers.html#directed_graph">directed_graph</a> and copies + its structure to another graph or directed_graph object. The only + restriction is that you can't copy the structure of a graph into a + directed_graph. The three other possible combinations are allowed + however. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_maximal_clique</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function takes a <a href="containers.html#graph">graph</a> and a + <a href="containers.html#set">set</a> of node index values and checks + if the specified set of nodes is a maximal clique in the graph. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>graph_contains_undirected_cycle</name> + <file>dlib/graph_utils.h</file> + <spec_file link="true">dlib/graph_utils/graph_utils_abstract.h</spec_file> + <description> + This function checks a <a href="containers.html#directed_graph">directed_graph</a> for undirected cycles. + 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**************************** --> + + <h2>Contributing Money</h2> + + The simplest way to contribute is to donate money via Zelle or PayPal + to davis@dlib.net. Any amount is appreciated :) + + <!-- **************************** CODE CONTRIBUTIONS **************************** --> + <h2>Contributing Code</h2> + + Code contributions are welcome and can be done by submitting a pull request + to <a href="https://github.com/davisking/dlib">dlib's github page</a>. + + <p> If you want to make a big change or feature addition, it's probably a good idea to talk to me about it first. + Additionally, you should read over the coding guidelines below + and try to follow them. It is also probably a good idea to read the books Effective C++ and + More Effective C++ by Scott Meyers. + </p> + + + <h2>Coding Guidelines</h2> + + 1. <a href="#1">Use Design by Contract</a><br/> + 2. <a href="#2">Use spaces instead of tabs.</a><br/> + 3. <a href="#3">Use the standard C++ naming convention</a><br/> + 4. <a href="#4">Use RAII</a><br/> + 5. <a href="#5">Don't use pointers</a><br/> + 6. <a href="#6">Don't use #define for constants.</a><br/> + 7. <a href="#7">Don't use stack based arrays.</a><br/> + 8. <a href="#8">Use exceptions, but don't abuse them</a><br/> + 9. <a href="#9">Write portable code</a><br/> + 10. <a href="#10">Setup regression tests</a><br/> + 11. <a href="#11">Use the Boost Software License</a><br/> + + + <ul> + <!-- **************************** --> + <anchor>1</anchor> + <li> <h3> Apply Design by Contract to Your Code </h3> + <ul><p> + The most important part of a software library isn't the code, it is the set + of interfaces the library exposes to the user. These interfaces need to be easy + to use right, and hard to use wrong. The only way this + happens is if the interfaces are documented in a simple, consistent, and precise way. + </p> + <p> + The name for the way I design and document these interfaces is known as + Design by Contract. There is a lot that can be said about Design by Contract, in fact, + whole books have been written about it, and programming languages exist which + use Design by Contract as a central element. Here I will just go over some + of the basic ways it is used in dlib as well as some of the reasons why it is a + Good Thing. + </p> + <li> <b>Functions should have documented preconditions which are programmatically verifiable</b> + <ul> + <p> + Many functions have a set of requirements or preconditions that need to be satisfied + if they are to be used. If these requirements are not satisfied + when a function is called then the function will not do what it is supposed to do. Moreover, + any piece of software that calls a function but doesn't make sure all preconditions + are satisfied contains a bug, <i>by definition</i>. + </p> + <p> + This means all functions must precisely document their preconditions if they are to be + usable. In fact, all preconditions should be programmatically verifiable. Doing this + has a number of benefits. First, it means they are unambiguous. English + can be confusing and vague, but saying "<tt>some_predicate == true</tt>" uses a + formal language, C++, that we all should understand quite well. Second, it means + you can put checks into the code that will catch <i>all</i> usage errors. + </p> + <p> + These checks should always be implemented using + <a href="metaprogramming.html#DLIB_ASSERT">DLIB_ASSERT</a> or + <a href="metaprogramming.html#DLIB_CASSERT">DLIB_CASSERT</a> and they should always + cover all preconditions. + These macros take a boolean argument and if it is false they throw dlib::fatal_error. So + you can use them to check that all your preconditions are true. Also, don't forget that + a violated function precondition indicates a bug in a program. + That is, when dlib::fatal_error is thrown it means a bug has been found and the only thing + an application can do at that point is print an error message and terminate. + In fact, dlib::fatal_error has checks in it to make sure someone doesn't catch the + exception and ignore it. These checks will abruptly terminate any program that attempts + to ignore fatal errors. + </p> + <p> + The above considerations bring me to my next bit of advice. Developers new to Design by Contract + often confuse input validation requirements with function preconditions. When I tell them + to consider any violation of a function's preconditions a bug and terminate their application + with an error message they complain that this is not at all what an application should do when + it receives invalid user inputs. + + They are right, that would be a bad thing + and you should not write software that behaves that way. The way out of this problem is, of + course, to not consider invalid input as a bug. Instead, you should perform explicit input validation + on any + data coming into your program <i>before</i> it gets to any functions that have preconditions + which demand the validated inputs. Moreover, if you make your preconditions programmatically verifiable + then it should be easy to validate any inputs by simply using whatever it is you + use to check your preconditions. + </p> + <p> + Consider the function <a href="dlib/svm/svm_abstract.h.html#cross_validate_trainer">cross_validate_trainer</a> as an + example. One of its requirements is that the input forms a valid binary classification problem. + This is documented in the list of preconditions as + "<tt>is_binary_classification_problem(x,y) == true</tt>". This precondition is just saying + that when you call + the <a href="dlib/svm/svm_abstract.h.html#is_binary_classification_problem">is_binary_classification_problem</a> + function on the x and y inputs it had better return true + if you want to use those inputs with the <tt>cross_validate_trainer</tt> function. + Given this information it is trivial to perform input validation. All you have to do is + call <tt>is_binary_classification_problem</tt> on your input data and you are done. + </p> + <p> + Using the above technique you have validated your inputs, documented your preconditions, and are + buffered by DLIB_ASSERT statements that will catch you if you accidentally forget to validate any + inputs. + </p> + <p>The thing to understand here is that + a violation of a function's preconditions means you have a bug on your hands. Or in other words, + you should never intentionally violate any function preconditions. But of course + it will happen from time to time because bugs are unavoidable. But at least with + this approach you will get a detailed error message early in development rather than a + mysterious segmentation fault days or weeks later. + </p> + </ul></li> + <li> <b>Functions should have documented postconditions </b> + <ul><p> + I don't have nearly as much to say about postconditions as I did about function requirements. You should + strive to write programmatically verifiable postconditions because that makes your postconditions + more precise. However, it is sometimes the case that this isn't practical and that is fine. + But whatever you do write needs to clearly communicate to the + user what it is your function does. + </p></ul></li> + <p> + Now you may be wondering why this is called <i>Design</i> by Contract and not Documentation + by Contract. The reason is that the process of writing down all these detailed descriptions + of what your code does becomes part of how you design software. For example, often you + will find that when you go to write down the requirements for calling a function you are unable + to do so. This may be because the requirements are so complex you can't think of a way + to describe them, or you may realize that you don't even know what they are. Alternatively, + you may know what they are but discover there isn't any way to verify them programmatically. All these + things are symptoms of a bad <i>design</i> and the reason you became aware of this design problem + was by attempting to apply Design by Contract. + </p> + <p> + After you get enough practice with this way of writing software you begin to think a lot + more about questions like "how can I design this class such that every member function + has a very simple set of requirements and postconditions?" Once you start doing this + you are well on your way to creating software components that are easy to use right, and + hard to use wrong. + </p> + <p> + The notation dlib uses to document preconditions and postconditions is described in + the <a href="intro.html#Notation">introduction</a>. All code that goes into dlib + must document itself using this notation. You should also separate the implementation + and specification of a component into two separate files as described in the introduction. This + way users aren't confused or distracted by implementation details when they look at the documentation. + </p> + </ul> + </li> + + + <!-- **************************** --> + <anchor>2</anchor> + <li><h3>Use spaces instead of tabs. </h3> + <ul> <p>This is just generally good advice but + it is especially important in dlib since everything is viewable + as pretty-printed HTML. Tabs show up as 8 characters in most browsers + and this results in the HTML version being difficult to read. So + don't use tabs. Additionally, please use 4 spaces for each tab level.</p> + </ul></li> + + + + <!-- **************************** --> + <anchor>3</anchor> + <li><h3> Don't use capitol letters in the names of variables, functions, or + classes. Use the _ character to separate words. </h3> + <ul> + <p> + The reason dlib uses this style is because it is the style used by the + C++ standard library. But more importantly, dlib currently provides + an interface to users that has a consistent look and feel and it is + important to continue to do so. + </p> + <p> + As for constants, they should usually contain all upper case letters + but all lowercase is ok sometimes. + </p> + </ul></li> + + <!-- **************************** --> + <anchor>4</anchor> + <li> <h3> Don't use manual resource management. Use RAII + instead.</h3> + <ul><p> + You should not be calling new and delete in your own code. You should instead + be using objects like the std::vector, std::shared_ptr, + or any number of other objects that manage resources such as memory for you. If you want + an array use std::vector (or the checked <a href="containers.html#std_vector_c">std_vector_c</a>). + If you want to make a lookup table use a <a href="containers.html#map">map</a>. If you want + a two dimensional array use <a href="linear_algebra.html#matrix">matrix</a> or + <a href="containers.html#array2d">array2d</a>. + </p> + <p> + These container objects are examples of what is called RAII (Resource Acquisition Is Initialization) + in C++. It is essentially a name for the fact that, in C++, you can have totally automated and + deterministic resource management by always associating resource acquisition with the construction + of an object and resource release with the destruction of an object. I say resource management + here rather than memory management + because, unlike Java, RAII can be used for more than memory management. For example, when + you use a <a href="dlib/threads/threads_kernel_abstract.h.html#mutex">mutex</a> you first lock + it, do something, and then you need to remember to unlock it. The RAII way of doing this is + to use the <a href="api.html#auto_mutex">auto_mutex</a> which will lock a mutex and automatically + unlock it for you. Or suppose you have made a TCP <a href="api.html#sockets">connection</a> + to another machine and you want to be certain the resources associated with that connection + are always released. You can easily accomplish this with RAII by using the std::unique_ptr as + shown in <a href="sockstreambuf_ex.cpp.html">this</a> example program. + </p> + <p> + RAII is a trivial technique to use. All you have to do is not call new and delete and + you will never have another memory leak. Just use the appropriate <a href="containers.html">container</a> + instead. Finally, if you don't use RAII then your code is almost certainly not exception safe. + </p> + </ul> + </li> + + <!-- **************************** --> + <anchor>5</anchor> + <li> <h3>Don't use pointers </h3> + <ul><p> + There are a number of reasons to not use pointers. First, if you are using pointers then + you are probably not using RAII. Second, pointers are ambiguous. When I see a pointer + I don't know if it is a pointer to a single item, a pointer to nothing, or + a pointer to an array of who knows how many things. On the other hand, when I see a + std::vector I know with certainty that I'm dealing with a kind of array. Or if I see a + reference to something then I know I'm dealing with exactly one instance of some object. + </p> + <p> + Most importantly, it is impossible to validate the state of a pointer. Consider two + functions: + <code_box> +double compute_sum_of_array_elements(const double* array, int array_size); +double compute_sum_of_array_elements(const std::vector<double>& array); </code_box> + + The first function is inherently unsafe. If the user accidentally passes in an invalid pointer + or sets the size argument incorrectly then their program may crash and this will turn into a + potentially hard to find bug. This is because there is absolutely nothing you can do inside + the first function to tell the difference between a valid pointer and size pair and an invalid + pointer and size pair. <b><i>Nothing</i></b>. The second function has none of these difficulties. + </p> + <p> + If you absolutely need pointer semantics then you can usually use a smart pointer like + std::unique_ptr or std::shared_ptr. + If that still isn't good enough for you and you <i>really</i> need to use a normal C style pointer + then isolate your pointers inside a class or function so that they are contained in a small area of the code. + However, in practice the container classes in dlib and the STL are more than sufficient in nearly + every case where pointers would otherwise be used. + </p> + </ul> + </li> + + <!-- **************************** --> + <anchor>6</anchor> + <li> <h3> Don't use #define for constants. </h3> + <ul><p> + dlib is meant to be integrated into other people's projects. Because of this everything + in dlib is contained inside the dlib namespace to avoid naming conflicts with user's code. + #defines don't respect namespaces at all. For example, if you #define a constant called SIZE then it + will cause a conflict with any piece of code <i>anywhere</i> that contains the identifier SIZE. + This means that #define based constants must be avoided and constants should be created using the + const keyword instead. + </p> + </ul> + </li> + + <!-- **************************** --> + <anchor>7</anchor> + <li> <h3>Don't use stack based arrays. </h3> + <ul><p> + A stack based array, or C style array, is an array declared like this: + <code_box>int array[200];</code_box> + Most of my criticisms of pointers also apply to stack based arrays. In particular, + if you are passing a stack based array to a function then that means you are probably + using functions similar to the unsafe compute_sum_of_array_elements() example above. + </p> + <p> + The only time it is OK to use this kind of array is when you use it for simple + tasks and you don't start passing pointers to the array to other parts of your code. You + should also use a constant to store the array size and use that constant in your loops + rather than hard coding the size in numerous places. + </p> + <p> + But even still, you should use a container class instead and preferably one with the ability to do range + checking such as the <a href="containers.html#std_vector_c">std_vector_c</a>. </p> + <p> + Consider the following two bits of code: +<code_box> +for (int i = 0; i < array_size; ++i) + my_c_array[i] = 4; + +for (int i = 0; i < my_std_vector.size(); ++i) + my_std_vector[i] = 4; +</code_box> + The second loop clearly doesn't overflow the bounds of the my_std_vector. On the other + hand, just by looking at the code in the first loop, we can not tell if it overflows + my_c_array. We have to assume that array_size is the appropriate constant but we could be wrong. + </p> + <p> + Buffer overflows are probably the most common kind of bug in C and C++ code. These bugs also + lead to serious exploitable security holes in software. So please try to avoid stack based arrays. + </p> + </ul> + </li> + + + + <!-- **************************** --> + <anchor>8</anchor> + <li> <h3> Use exceptions, but don't abuse them. </h3> + <ul> + <p> + Exceptions are one of the great features of modern programming languages. Some + people, however, consider that to be a contentious statement. But if you accept + the notion that a software library should be hard to use wrong then it + becomes difficult to reject exceptions. + </p> + <p> + Most of the complaints I hear about exceptions are actually complaints + about their <i>misuse</i> rather than objections to the basic idea. + So before I begin to defend the above + paragraph I would like to lay out more clearly when it is appropriate to + use exceptions and when it is not. + </p> + <p> + There are two basic questions you should ask yourself when deciding whether to + throw an exception in response to some event. The first is (1) "should this event + occur in the normal use of my library component?" The second question is (2) "if this event + were to occur, is it likely that the user will want to place the code for dealing + with the event near the invocations of my library component?" + </p> + <p> + If your answers to the above two questions are "no" then you should probably + throw an exception in response to the event. On the other hand, if you answer + "yes" to either of these questions then you should probably <i>not</i> throw an exception. + </p> + + <p> + A good example of an event worth throwing exceptions for is running out of memory. + (1) It doesn't happen very often, and (2) when it does happen it is hardly ever the case that + you want to deal with the out of memory event right next to the place where you are + attempting to allocate memory. + </p> + <p> + Alternatively, an example of an event that shouldn't throw an exception comes to + us from the C++ I/O streams. This part of the standard library allows + you to read the contents of a file from disk. When you hit the end of file they + do not throw an exception. This is appropriate because (1) you usually want to + read a file in its entirety. So hitting EOF happens all the time. Additionally, (2) + when you hit EOF you usually want to break out of the loop you are in + and continue immediately into the next block of code. + </p> + <p> + Usually when someone tells me they don't like exceptions they give reasons like "they make + me put try/catch blocks all over the place and it makes the code hard to read." Or "it makes + it hard to understand the flow of a program with exceptions in it." Invariably they + have been working with bodies of software that disregard the above rules regarding questions + 1 and 2. Indeed, when exceptions are used for flow control the results are horrifying. Using + exceptions for events that occur in the normal use of a software component, especially when + the events need to be dealt with near where they happen result in a spaghetti-like mess + of throw statements and try/catch blocks. Clearly, exceptions should be used judiciously. + So please, take my advice regarding questions 1 and 2 to heart. + </p> + <p> + Now let's go back to my claim that exceptions are an important part of making + a library that is hard to use wrong. But first let's be honest about one thing, + many developers don't think very hard about error handling and they similarly aren't very + careful about checking function return codes. Moreover, even the most studious of + us can easily forget to add these checks. It is also easy to forget to add + appropriate exception catch blocks. + </p> + <p> + So what is so great about exceptions then? Well, let's imagine some error just occurred + and it caused an exception to be thrown. If you forgot to setup catch blocks to deal with + the error then your program will be aborted. Not exactly a great thing. But you will, however, + be able to easily find out what exception was thrown. Additionally, exceptions typically contain a + message telling you all about the error. Moreover, + any debugger worth its + salt will be able to show you a stack trace that lets you see exactly where the exception came from. + The exception <i>forces</i> you, the user, to + be aware of this potential error and to add a catch block to deal with it. + This is where the "hard to use wrong" comes from. + </p> + <p> + Now let's imagine that we are using return codes to communicate errors to the user and the + same error occurs. If you forgot to do all your return code checking then you will + simply be unaware of the error. Maybe your program will crash right away. But more likely, it + will continue to run for a while before crashing at some random place far away from the source + of the error. You and your debugger now get to spend a few hours of quality time + together trying to figure out what went wrong. + </p> + <p> + The above considerations are why I maintain that exceptions, when used properly, contribute to + the "hard to use wrong" factor of a library. There are also other reasons to use exceptions. + They free the user from needing to clutter up code with lots of return code checking. This makes + code easier to read and let's you focus more on the algorithm you are trying to implement and less + on the bookkeeping. + </p> + <p> + Finally, it is important to note that there is a place for return codes. When you answer "no" + to questions 1 and 2, I suggest using exceptions. However, if you answer "yes" to even one + of them then I would recommend pretty much anything other than throwing an exception. In this + case error codes are often an excellent idea. + </p> + + + <p> + As an aside, it is also important that your exception classes inherit from + <a href="other.html#error">dlib::error</a> to maintain consistency with the rest of the library. + </p> + </ul> + </li> + + + <!-- **************************** --> + <anchor>9</anchor> + <li> <h3>Write portable code</h3> + <ul> + <li> <b>Don't complicate the build process </b> + <ul> <p> + One of dlib's design goals is to not require any installation + process before it can be used. A user should be able to copy + the dlib folder into their project and have it just work. + </p> + <p> + In particular, using dlib in a project should not make it difficult to + compile the project from the command line. For example, all the + example programs provided with dlib can be compiled using a single + statement on the command line. + </p> + <p> + Similarly, the user should be able to check the dlib folder into whatever + version control system they use without running into any difficulties. + The user should then be able to check out copies of the code on any + of the dlib supported platforms and have their project build without + needing to mess with anything. + </p> + </ul></li> + <li> <b>Don't make assumptions about how objects are laid out in memory. </b> + <ul> <p> + If you have been following the prohibition against messing around with + pointers then this won't even be an issue for you. Moreover, just about the only + time this should even come up is when you are casting blocks of + memory into other types or dumping the contents of memory to an I/O channel. + All of these things are highly non-portable so don't do them. + </p> + <p> + If you want a portable way to write the state of an object to an + I/O channel then I recommend you use the <a href="other.html#serialize">serialization</a> + capability in dlib. If that doesn't suit your needs then do + something else, but whatever you do don't just dump the contents of memory. + Convert your data into some portable format and then output that. + </p> + <p> + As an example of something else you might do: suppose you have a bunch of integers + you want to write to disk. Assuming all your integers are positive numbers representable + using 32 or fewer bits you could store all your numbers in + <a href="other.html#uint32">dlib::uint32</a> variables and then convert them + into either big or little endian byte order and then write them to an output stream. + You could do this using code similar to the following: + + <code_box> +dlib::<a href="other.html#byte_orderer">byte_orderer</a> bo; +... +bo.host_to_big(my_uint); +my_out_stream.write((char*)&my_uint, sizeof(my_uint)); +... </code_box> + + <p> + There are three important things to understand about this process. First, you need + to pick variables that always have the same size on all platforms. This means you + can't use <i>any</i> of the built in C++ types like int, float, double, long, etc. All + of these types have different sizes depending on your platform and even compiler settings. + So you need to use something like dlib::uint32 to obtain a type of a known size. + </p> + <p> + Second, you need to convert each thing you write out into either big or little endian byte order. + The reason for this is, again, portability. If you don't explicitly convert to one + of these byte orders then you end up writing data out using whatever byte order + is used by your current machine. If you do this then only machines that have the same + byte order as yours will be able to read in your data. If you use the dlib::byte_orderer + object this is easy. It is very type safe. In fact, you should have a hard time even getting + it to compile if you use it wrong. + </p> + <p> + The third thing you should understand is that you need to write out each of your + variables one at a time. You can't write out an entire struct in a + single ostream.write() statement because the compiler is allowed to put any + kind of padding it feels like between the fields in a struct. + </p> + <p> + You may be aware that compilers usually provide #pragma directives that allow you + to explicitly control this padding. However, if you want to submit code to dlib + you will not use this feature. Not all compilers support it in the same way and, + more importantly, not all CPU architectures are even capable of running code that + has had the padding messed with. This is because it can result in the CPU attempting + to perform what is called an "unaligned load" which many CPUs (like the SPARC) are + incapable of doing. + </p> + <p> + So in summary, convert your data into a known type with a fixed size, then convert + into a specific byte order (like big endian), then write out each variable individually. + Or you could just use <a href="other.html#serialize">serialize</a> and not worry about all + this horrible stuff. :) + </p> + + </p> + </ul> + </li> + + <li> <b> All code that calls functions that aren't in dlib or the C++ + standard library must be isolated inside the API wrappers.</b> + <ul><p> + If you want to contribute code to dlib which needs to use something that isn't + in the C++ standard then we need to introduce a new library component + in the <a href="api.html">API wrappers</a> section. The new component would + provide whatever functionality you need. This new component would have + to provide at least POSIX and win32 implementations. + </p> + <p> + It is also worth pointing out that <i>simple</i> wrappers around operating system + specific calls are usually a bad solution. This is because there are + invariably subtle, if not huge, differences between what is available on different + operating systems. + So being truly portable takes a lot of work. It involves reading everything + you can find about all the APIs needed to implement the feature on each target platform. + In many cases there will be important details that are undocumented and you will + only be able to find out about them by searching the internet for other developers + complaining about bugs in API functions X, Y, and Z. All this stuff needs to be abstracted + away to put a portable and simple interface in front of it. So this is a task + that shouldn't be taken lightly. + </p> + </ul> + </li> + </ul></li> + + + <!-- **************************** --> + <anchor>10</anchor> + <li> <h3>Library components should have regression tests</h3> + <ul> + <p> + dlib has a <a href="other.html#dlib_testing_suite">regression test suite</a> located in + the dlib/test folder. Whenever possible, library components should have tests + associated with them. GUI components get a pass since it isn't very easy to setup + automatic tests for them but pretty much everything else should have some sort + of test. + </p> + </ul> + </li> + + <!-- **************************** --> + <anchor>11</anchor> + <li> <h3>You must use the Boost Software License</h3> + <ul> + <p> + Having the library use more than one open source license is confusing + so I ask that any code contributions be licensed under the Boost Software + License. + </p> + </ul> + </li> + + + </ul> + + + <!-- **************************** --> + + + + + + </body> + + + + <!-- ************************************************************************* --> + +</doc> + diff --git a/ml/dlib/docs/docs/imaging.xml b/ml/dlib/docs/docs/imaging.xml new file mode 100644 index 000000000..2fef49e73 --- /dev/null +++ b/ml/dlib/docs/docs/imaging.xml @@ -0,0 +1,2608 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Image Processing</title> + + <!-- ************************************************************************* --> + + <body> + + <p> + This page documents the functionality present in this library that deals with the + management and manipulation of images. One thing to note is that there is no + explicit image object. Instead, everything deals with <a href="containers.html#array2d"> + array2d</a> objects that contain various kinds of pixels or user defined <a href="dlib/image_processing/generic_image.h.html"> + generic image</a> objects. + </p> + + + <p> + <h2>Pixel Types</h2> + Most image handling routines in dlib will accept images containing any pixel type. + This is made possible by defining a traits class, <a href="#pixel_traits">pixel_traits</a>, for + each possible pixel type. This traits class enables image processing routines to determine + how to handle each kind of pixel and therefore only pixels which have a pixel_traits definition + may be used. The following list defines all the pixel types which come with pixel_traits definitions. + <ul> + <li><b>RGB</b> + <ul> There are two RGB pixel types in dlib, <a href="#rgb_pixel">rgb_pixel</a> and <a href="#bgr_pixel">bgr_pixel</a>. + Each defines a 24bit RGB pixel type. The bgr_pixel is identical to rgb_pixel except that it lays + the color channels down in memory in BGR order rather than RGB order and is therefore useful + for interfacing with other image processing tools which expect this format (e.g. <a href="#cv_image">OpenCV</a>). </ul> + </li> + <li><b>RGB Alpha</b> + <ul>The <a href="#rgb_alpha_pixel">rgb_alpha_pixel</a> is an 8bit per channel RGB pixel with an 8bit alpha channel.</ul> + </li> + <li><b>HSI</b> + <ul>The <a href="#hsi_pixel">hsi_pixel</a> is a 24bit pixel which represents a point in the Hue Saturation Intensity + (HSI) color space. </ul> + </li> + <li><b>LAB</b> + <ul>The <a href="#lab_pixel">lab_pixel</a> is a 24bit pixel which represents a point in the CIELab color space. </ul> + </li> + <li><b>Grayscale</b> + <ul>Any built in scalar type may be used as a grayscale pixel type. For example, unsigned char, int, double, etc.</ul> + </li> + </ul> + </p> + + <p> + <h2>Object Detection</h2> + If you want to create object detectors then try the + <a href="#scan_fhog_pyramid">scan_fhog_pyramid</a> tool first. It is quite + easy to use and train and will, in many cases, give excellent results. If that + doesn't give good results then try the more powerful + <a href="ml.html#loss_mmod_">convolutional neural network</a> based detector. + </p> + + </body> + + <!-- ************************************************************************* --> + + <menu width="150"> + <top> + + <section> + <name>Pixels</name> + <item>rgb_pixel</item> + <item>bgr_pixel</item> + <item>rgb_alpha_pixel</item> + <item>hsi_pixel</item> + <item>lab_pixel</item> + <item>pixel_traits</item> + <item>get_pixel_intensity</item> + <item>assign_pixel</item> + <item>assign_pixel_intensity</item> + </section> + + <section> + <name>Image I/O</name> + <item>jpeg_loader</item> + <item>load_bmp</item> + <item>load_dng</item> + <item>load_image</item> + <item>load_jpeg</item> + <item>load_png</item> + <item>png_loader</item> + <item>save_bmp</item> + <item>save_dng</item> + <item>save_png</item> + <item>save_jpeg</item> + </section> + + <section> + <name>Object Detection</name> + <item>get_frontal_face_detector</item> + <item>object_detector</item> + <item>evaluate_detectors</item> + <item>full_object_detection</item> + <item>mmod_rect</item> + <item>scan_image</item> + <item>scan_image_movable_parts</item> + <item>find_points_above_thresh</item> + <item>scan_image_pyramid</item> + <item>scan_image_boxes</item> + <item>scan_fhog_pyramid</item> + <item>scan_image_custom</item> + <item>find_candidate_object_locations</item> + <item>test_box_overlap</item> + <item>remove_unobtainable_rectangles</item> + <item>setup_hashed_features</item> + <item>correlation_tracker</item> + <item nolink="true"> + <name>Scan Image Pyramid Tools</name> + <sub> + <item>compute_box_dimensions</item> + <item>create_single_box_detection_template</item> + <item>create_overlapped_2x2_detection_template</item> + <item>create_grid_detection_template</item> + + <item>determine_object_boxes</item> + <item>setup_grid_detection_templates</item> + <item>setup_grid_detection_templates_verbose</item> + </sub> + </item> + </section> + + <section> + <name>Feature Extraction</name> + <item>get_surf_points</item> + <item>shape_predictor</item> + <item nolink="true"> + <name>SURF Tools</name> + <sub> + <item>hessian_pyramid</item> + <item>compute_surf_descriptor</item> + <item>haar_x</item> + <item>haar_y</item> + <item>get_interest_points</item> + <item>interest_point</item> + <item>surf_point</item> + <item>compute_dominant_angle</item> + <item>draw_surf_points</item> + </sub> + </item> + + <item>hog_image</item> + <item>extract_fhog_features</item> + <item>fine_hog_image</item> + <item>poly_image</item> + <item>hashed_feature_image</item> + <item>binned_vector_feature_image</item> + <item>nearest_neighbor_feature_image</item> + <item>randomly_sample_image_features</item> + + <item>make_uniform_lbp_image</item> + <item>extract_histogram_descriptors</item> + <item>extract_uniform_lbp_descriptors</item> + <item>extract_highdim_face_lbp_descriptors</item> + </section> + + + <section> + <name>Edges and Thresholds</name> + <item>edge_orientation</item> + <item>hysteresis_threshold</item> + <item>sobel_edge_detector</item> + <item>suppress_non_maximum_edges</item> + <item>threshold_image</item> + <item>auto_threshold_image</item> + <item>hough_transform</item> + </section> + + <section> + <name>Morphology</name> + <item>label_connected_blobs</item> + <item>segment_image</item> + <item>binary_dilation</item> + <item>binary_erosion</item> + <item>binary_open</item> + <item>binary_close</item> + <item>binary_intersection</item> + <item>binary_union</item> + <item>binary_difference</item> + <item>binary_complement</item> + <item>skeleton</item> + </section> + + <section> + <name>Filtering</name> + <item>gaussian_blur</item> + <item>spatially_filter_image</item> + <item>spatially_filter_image_separable</item> + <item>float_spatially_filter_image_separable</item> + <item>separable_3x3_filter_block_grayscale</item> + <item>separable_3x3_filter_block_rgb</item> + <item>sum_filter</item> + <item>sum_filter_assign</item> + <item>max_filter</item> + <item>spatially_filter_image_separable_down</item> + </section> + + <section> + <name>Scaling and Rotating</name> + <item>pyramid_up</item> + <item>pyramid_down</item> + <item>pyramid_disable</item> + <item>create_tiled_pyramid</item> + + <item>interpolate_nearest_neighbor</item> + <item>interpolate_bilinear</item> + <item>interpolate_quadratic</item> + <item>transform_image</item> + <item>rotate_image</item> + <item>resize_image</item> + <item>flip_image_left_right</item> + <item>flip_image_up_down</item> + <item>add_image_left_right_flips</item> + <item>add_image_rotations</item> + <item>upsample_image_dataset</item> + <item>flip_image_dataset_left_right</item> + <item>rotate_image_dataset</item> + <item>extract_image_chips</item> + <item>random_cropper</item> + <item>jitter_image</item> + <item>sub_image</item> + </section> + + <section> + <name>Visualization</name> + <item>randomly_color_image</item> + <item>heatmap</item> + <item>jet</item> + <item>render_face_detections</item> + <item>draw_line</item> + <item>draw_solid_circle</item> + <item>draw_surf_points</item> + <item>draw_rectangle</item> + <item>tile_images</item> + <item>draw_fhog</item> + <item>fill_rect</item> + </section> + + <section> + <name>Miscellaneous</name> + <item>cv_image</item> + <item>toMat</item> + <item>assign_image</item> + <item>assign_image_scaled</item> + <item>assign_all_pixels</item> + <item>assign_border_pixels</item> + <item>equalize_histogram</item> + <item>get_histogram</item> + <item>zero_border_pixels</item> + <item>integral_image</item> + <item>integral_image_generic</item> + <item>disturb_colors</item> + <item>random_color_transform</item> + + </section> + + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + <!-- ************************************************************************* --> + + <component> + <name>hough_transform</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/hough_transform_abstract.h</spec_file> + <description> + This object is a tool for computing the line finding version of + the Hough transform given some kind of edge detection image as + input. It also allows the edge pixels to be weighted such that + higher weighted edge pixels contribute correspondingly more to + the output of the Hough transform, allowing stronger edges to + create correspondingly stronger line detections in the final + Hough transform. + </description> + <examples> + <example>hough_transform_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>skeleton</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/morphological_operations_abstract.h</spec_file> + <description> + This function computes the skeletonization of an image. That is, + given a binary image, we progressively thin the binary blobs + until only a single pixel wide skeleton of the original blobs + remains. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>disturb_colors</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/random_color_transform_abstract.h</spec_file> + <description> + Applies a random color transform an image. This is done by + creating a <a href="#random_color_transform">random_color_transform</a> with the given parameters and then + transforming each pixel in the image with the resulting transform. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>random_color_transform</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/random_color_transform_abstract.h</spec_file> + <description> + This object generates a random color balancing and gamma correction + transform. It then allows you to apply that specific transform to as many + <a href="#rgb_pixel">rgb_pixel</a> objects as you like. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>integral_image_generic</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/integral_image_abstract.h</spec_file> + <description> + This object is an alternate way of representing image data + that allows for very fast computations of sums of pixels in + rectangular regions. To use this object you load it with a + normal image and then you can use the get_sum_of_area() + member function to compute sums of pixels in a given area in + constant time. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>integral_image</name> + <file>dlib/image_transforms.h</file> + <spec_file>dlib/image_transforms/integral_image_abstract.h</spec_file> + <description> + This is a specialization of the <a href="#integral_image_generic">integral_image_generic</a> + template for the case where sums of pixel values should be represented with + longs. E.g. if you use 8bit pixels in your original images then this is + the appropriate kind of integral image to use with them. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>haar_x</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/integral_image_abstract.h</spec_file> + <description> + This is a function that operates on an <a href="#integral_image">integral_image</a> + and allows you to compute the response of a Haar wavelet oriented along + the X axis. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>haar_y</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/integral_image_abstract.h</spec_file> + <description> + This is a function that operates on an <a href="#integral_image">integral_image</a> + and allows you to compute the response of a Haar wavelet oriented along + the Y axis. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>draw_surf_points</name> + <file>dlib/image_keypoint/draw_surf_points.h</file> + <spec_file link="true">dlib/image_keypoint/draw_surf_points_abstract.h</spec_file> + <description> + This routine adds a bunch of <a href="#surf_point">surf_point</a> objects onto + an <a href="dlib/gui_widgets/widgets_abstract.h.html#image_window">image_window</a> + object so they can be visualized. + </description> + <examples> + <example>surf_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>compute_dominant_angle</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/surf_abstract.h</spec_file> + <description> + Computes and returns the dominant angle (i.e. the angle of the dominant gradient) + at a given point and scale in an image. This function is part of the + main processing of the SURF algorithm. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>get_surf_points</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/surf_abstract.h</spec_file> + <description> + This function runs the complete SURF algorithm on an input image and + returns the points it found. For a description of what exactly + the SURF algorithm does you should read the following paper: + <blockquote> + SURF: Speeded Up Robust Features + By Herbert Bay, Tinne Tuytelaars, and Luc Van Gool + </blockquote> + <p> + Also note that there are numerous flavors of the SURF algorithm + you can put together using the functions in dlib. The get_surf_points() + function is just an example of one way you might do so. + </p> + </description> + <examples> + <example>surf_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>shape_predictor</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/shape_predictor_abstract.h</spec_file> + <description> + This object is a tool that takes in an image region containing some object + and outputs a set of point locations that define the pose of the + object. The classic example of this is human face pose prediction, where + you take an image of a human face as input and are expected to identify the + locations of important facial landmarks such as the corners of the mouth + and eyes, tip of the nose, and so forth. For example, here is the output + of dlib's <a href="face_landmark_detection_ex.cpp.html">68-face-landmark shape_predictor</a> on an image from the HELEN dataset: <br/><br/> + + <img src='face_landmarking_example.png'/> + <br/><br/> + + To create useful instantiations of this object you need to use the + <a href="ml.html#shape_predictor_trainer">shape_predictor_trainer</a> object to train a + shape_predictor using a set of training images, each annotated with shapes you want to predict. + To do this, the shape_predictor_trainer uses the state-of-the-art method from the + paper: + <blockquote> + One Millisecond Face Alignment with an Ensemble of Regression Trees + by Vahid Kazemi and Josephine Sullivan, CVPR 2014 + </blockquote> + </description> + <examples> + <example>face_landmark_detection_ex.cpp.html</example> + <example>train_shape_predictor_ex.cpp.html</example> + <example>webcam_face_pose_ex.cpp.html</example> + + <example>train_shape_predictor.py.html</example> + <example>face_landmark_detection.py.html</example> + <example>face_alignment.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>compute_surf_descriptor</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/surf_abstract.h</spec_file> + <description> + Computes the 64 dimensional SURF descriptor vector of a box centered + at a given center point, tilted at a given angle, and sized according to + a given scale. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>hog_image</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/hog_abstract.h</spec_file> + <description> + This object is a tool for performing the image feature extraction algorithm + described in the following paper: + <blockquote> + Histograms of Oriented Gradients for Human Detection + by Navneet Dalal and Bill Triggs + </blockquote> + </description> + <examples> + <example>object_detector_ex.cpp.html</example> + <example>train_object_detector.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>extract_fhog_features</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/fhog_abstract.h</spec_file> + <description> + This function implements the HOG feature extraction method described in + the paper: + <blockquote> + Object Detection with Discriminatively Trained Part Based Models by + P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan + in IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 9, Sep. 2010 + </blockquote> + This means that it takes an input image and outputs Felzenszwalb's + 31 dimensional version of HOG features. + </description> + <examples> + <example>fhog_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>fine_hog_image</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/fine_hog_image_abstract.h</spec_file> + <description> + This object is a version of the <a href="#hog_image">hog_image</a> that + allows you to extract HOG features at a finer resolution. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>poly_image</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/poly_image_abstract.h</spec_file> + <description> + This object is a tool for extracting local feature descriptors from an image. + In particular, it fits polynomials to local pixel patches and + allows you to query the coefficients of these polynomials. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>hashed_feature_image</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/hashed_feature_image_abstract.h</spec_file> + <description> + This object is a tool for performing image feature extraction. In + particular, it wraps another image feature extractor and converts + the wrapped image feature vectors into sparse indicator vectors. It does + this by hashing each feature vector and then returns a new vector + which is zero everywhere except for the position determined by the + hash. + + <br/><br/> + The following feature extractors can be wrapped by the hashed_feature_image: + <ul style="margin-top:0em"> + <li><a href="#hog_image">hog_image</a></li> + <li><a href="#fine_hog_image">fine_hog_image</a></li> + <li><a href="#poly_image">poly_image</a></li> + </ul> + </description> + <examples> + <example>object_detector_ex.cpp.html</example> + <example>train_object_detector.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>binned_vector_feature_image</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/binned_vector_feature_image_abstract.h</spec_file> + <description> + This object is a tool for performing image feature extraction. In + particular, it wraps another image feature extractor and converts the + wrapped image feature vectors into a high dimensional sparse vector. For + example, if the lower level feature extractor outputs the vector [3,4,5] + and this vector is hashed into the second bin of four bins then the output + sparse vector is: + <blockquote> + [0,0,0,0, 3,4,5,1, 0,0,0,0, 0,0,0,0]. + </blockquote> + That is, the output vector has a dimensionality that is equal to the number + of hash bins times the dimensionality of the lower level vector plus one. + The value in the extra dimension concatenated onto the end of the vector is + always a constant value of of 1 and serves as a bias value. This means + that, if there are N hash bins, these vectors are capable of representing N + different linear functions, each operating on the vectors that fall into + their corresponding hash bin. + + <br/><br/> + The following feature extractors can be wrapped by the binned_vector_feature_image: + <ul style="margin-top:0em"> + <li><a href="#hog_image">hog_image</a></li> + <li><a href="#fine_hog_image">fine_hog_image</a></li> + <li><a href="#poly_image">poly_image</a></li> + </ul> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>nearest_neighbor_feature_image</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/nearest_neighbor_feature_image_abstract.h</spec_file> + <description> + This object is a tool for performing image feature extraction. In + particular, it wraps another image feature extractor and converts + the wrapped image feature vectors into sparse indicator vectors. It does + this by finding the nearest neighbor for each feature vector and returning an + indicator vector that is zero everywhere except for the position indicated by + the nearest neighbor. + + <br/><br/> + The following feature extractors can be wrapped by the nearest_neighbor_feature_image: + <ul style="margin-top:0em"> + <li><a href="#hog_image">hog_image</a></li> + <li><a href="#fine_hog_image">fine_hog_image</a></li> + <li><a href="#poly_image">poly_image</a></li> + </ul> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>hessian_pyramid</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/hessian_pyramid_abstract.h</spec_file> + <description> + This object represents an image pyramid where each level in the + pyramid holds determinants of Hessian matrices for the original + input image. This object can be used to find stable interest + points in an image. + + <br/><br/> + This object is an implementation of the fast Hessian pyramid + as described in the paper: + <blockquote> + SURF: Speeded Up Robust Features + By Herbert Bay, Tinne Tuytelaars, and Luc Van Gool + </blockquote> + + This implementation was also influenced by the very well documented + OpenSURF library and its corresponding description of how the fast + Hessian algorithm functions: + <blockquote>Notes on the OpenSURF Library by Christopher Evans</blockquote> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>get_interest_points</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/hessian_pyramid_abstract.h</spec_file> + <description> + This function extracts interest points from a <a href="#hessian_pyramid">hessian_pyramid</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>interest_point</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/hessian_pyramid_abstract.h</spec_file> + <description> + This is a simple struct used to represent the interest points returned + by the <a href="#get_interest_points">get_interest_points</a> function. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>surf_point</name> + <file>dlib/image_keypoint.h</file> + <spec_file link="true">dlib/image_keypoint/surf_abstract.h</spec_file> + <description> + This is a simple struct used to represent the SURF points returned + by the <a href="#get_surf_points">get_surf_points</a> function. + </description> + <examples> + <example>surf_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>pixel_traits</name> + <file>dlib/pixel.h</file> + <spec_file>dlib/pixel.h</spec_file> + <description> + As the name implies, this is a traits class for pixel types. It allows you + to determine what sort of pixel type you are dealing with. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>hsi_pixel</name> + <file>dlib/pixel.h</file> + <spec_file link="true">dlib/pixel.h</spec_file> + <description> + This is a simple struct that represents a HSI colored graphical pixel. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>lab_pixel</name> + <file>dlib/pixel.h</file> + <spec_file link="true">dlib/pixel.h</spec_file> + <description> + This is a simple struct that represents a CIELab colored graphical pixel. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rgb_alpha_pixel</name> + <file>dlib/pixel.h</file> + <spec_file link="true">dlib/pixel.h</spec_file> + <description> + This is a simple struct that represents an RGB colored graphical pixel with an + alpha channel. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rgb_pixel</name> + <file>dlib/pixel.h</file> + <spec_file link="true">dlib/pixel.h</spec_file> + <description> + This is a simple struct that represents an RGB colored graphical pixel. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>bgr_pixel</name> + <file>dlib/pixel.h</file> + <spec_file link="true">dlib/pixel.h</spec_file> + <description> + This is a simple struct that represents a BGR colored graphical pixel. + <p> + The difference between this object and the <a href="#rgb_pixel">rgb_pixel</a> + is just that this struct lays its pixels down in memory in BGR order rather + than RGB order. You only care about this if you are doing something like + using the <a href="#cv_image">cv_image</a> object to map an OpenCV image + into a more object oriented form. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cv_image</name> + <file>dlib/opencv.h</file> + <spec_file link="true">dlib/opencv/cv_image_abstract.h</spec_file> + <description> + This object is meant to be used as a simple wrapper around the OpenCV + IplImage struct or Mat object. Using this class template you can turn + an OpenCV image into something that looks like a normal dlib style + image object. + + <p> + So you should be able to use cv_image objects with many of the image + processing functions in dlib as well as the GUI tools for displaying + images on the screen. + </p> + + <p> + Note that you can do the reverse conversion, from dlib to OpenCV, + using the <a href="#toMat">toMat</a> routine. + </p> + </description> + <examples> + <example>webcam_face_pose_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>toMat</name> + <file>dlib/opencv.h</file> + <spec_file link="true">dlib/opencv/to_open_cv_abstract.h</spec_file> + <description> + This routine converts a dlib style image into an instance of OpenCV's cv::Mat object. + This is done by setting up the Mat object to point to the same memory as the dlib image. + <p> + Note that you can do the reverse conversion, from OpenCV to dlib, + using the <a href="#cv_image">cv_image</a> object. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>heatmap</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/colormaps_abstract.h</spec_file> + <description> + Converts a grayscale image into a heatmap. This is useful if you want + to display a grayscale image with more than 256 values. In particular, + this function uses the following color mapping: + <br/><img src="heatmap.png"/> + </description> + <examples> + <example>image_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>jet</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/colormaps_abstract.h</spec_file> + <description> + Converts a grayscale image into an image using the jet color + scheme. This is useful if you want to display a grayscale image + with more than 256 values. In particular, this function uses the + following color mapping: + <br/><img src="jet.png"/> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>randomly_color_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/colormaps_abstract.h</spec_file> + <description> + Randomly generates a mapping from gray level pixel values + to the RGB pixel space and then uses this mapping to create + a colored version an image. + <p> + This function is useful for displaying the results of some image + segmentation. For example, the output of <a href="#label_connected_blobs">label_connected_blobs</a> + or <a href="#segment_image">segment_image</a>. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>assign_pixel</name> + <file>dlib/pixel.h</file> + <spec_file link="true">dlib/pixel.h</spec_file> + <description> + assign_pixel() is a templated function that can assign any pixel type to another pixel type. + It will perform whatever conversion is necessary to make the assignment work. (E.g. color to + grayscale conversion) + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>assign_pixel_intensity</name> + <file>dlib/pixel.h</file> + <spec_file link="true">dlib/pixel.h</spec_file> + <description> + assign_pixel_intensity() is a templated function that can change the + intensity of a pixel. So if the pixel in question is a grayscale pixel + then it simply assigns that pixel the given value. However, if the + pixel is not a grayscale pixel then it converts the pixel to the + HSI color space and sets the I channel to the given intensity + and then converts this HSI value back to the original pixel's + color space. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>get_pixel_intensity</name> + <file>dlib/pixel.h</file> + <spec_file link="true">dlib/pixel.h</spec_file> + <description> + get_pixel_intensity() is a templated function that + returns the grayscale intensity of a pixel. If the pixel isn't a grayscale + pixel then it converts the pixel to grayscale and returns that value. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>png_loader</name> + <file>dlib/image_io.h</file> + <spec_file link="true">dlib/image_loader/png_loader_abstract.h</spec_file> + <description> + This object loads a Portable Network Graphics (PNG) image file into + an <a href="containers.html#array2d">array2d</a> of <a href="dlib/pixel.h.html">pixels</a>. + <p> + Note that you must define DLIB_PNG_SUPPORT if you want to use this object. You + must also set your build environment to link to the libpng library. However, + if you use CMake and dlib's default CMakeLists.txt file then it will get setup + automatically. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>jpeg_loader</name> + <file>dlib/image_io.h</file> + <spec_file link="true">dlib/image_loader/jpeg_loader_abstract.h</spec_file> + <description> + This object loads a JPEG image file into + an <a href="containers.html#array2d">array2d</a> of <a href="dlib/pixel.h.html">pixels</a>. + <p> + Note that you must define DLIB_JPEG_SUPPORT if you want to use this object. You + must also set your build environment to link to the libjpeg library. However, + if you use CMake and dlib's default CMakeLists.txt file then it will get setup + automatically. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>load_jpeg</name> + <file>dlib/image_io.h</file> + <spec_file link="true">dlib/image_loader/jpeg_loader_abstract.h</spec_file> + <description> + This function loads a JPEG image file into + an <a href="containers.html#array2d">array2d</a> of <a href="dlib/pixel.h.html">pixels</a>. + <p> + Note that you must define DLIB_JPEG_SUPPORT if you want to use this object. You + must also set your build environment to link to the libjpeg library. However, + if you use CMake and dlib's default CMakeLists.txt file then it will get setup + automatically. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>load_dng</name> + <file>dlib/image_io.h</file> + <spec_file link="true">dlib/image_loader/image_loader_abstract.h</spec_file> + <description> + This global function loads a dlib DNG file (a lossless compressed image format) into + an <a href="containers.html#array2d">array2d</a> of <a href="dlib/pixel.h.html">pixels</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>save_dng</name> + <file>dlib/image_io.h</file> + <spec_file link="true">dlib/image_saver/image_saver_abstract.h</spec_file> + <description> + This global function saves an image as a dlib DNG file (a lossless + compressed image format). + <p> + This routine can save images containing any type of pixel. However, the DNG format + can natively store only the following pixel types: <b>rgb_pixel</b>, <b>hsi_pixel</b>, + <b>rgb_alpha_pixel</b>, <b>uint8</b>, <b>uint16</b>, <b>float</b>, and <b>double</b>. + All other pixel types will be converted + into one of these types as appropriate before being saved to disk. + </p> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>save_png</name> + <file>dlib/image_io.h</file> + <spec_file link="true">dlib/image_saver/save_png_abstract.h</spec_file> + <description> + This global function writes an image to disk as a PNG (Portable Network Graphics) file. + <p> + Note that you must define DLIB_PNG_SUPPORT if you want to use this function. You + must also set your build environment to link to the libpng library. However, + if you use CMake and dlib's default CMakeLists.txt file then it will get setup + automatically. + </p> + <p> + This routine can save images containing any type of pixel. However, save_png() can + only natively store the following pixel types: <b>rgb_pixel</b>, + <b>rgb_alpha_pixel</b>, <b>uint8</b>, and <b>uint16</b>. All other pixel + types will be converted into one of these types as appropriate before being + saved to disk. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>save_jpeg</name> + <file>dlib/image_io.h</file> + <spec_file link="true">dlib/image_saver/save_jpeg_abstract.h</spec_file> + <description> + This global function writes an image to disk as a JPEG file. + <p> + Note that you must define DLIB_JPEG_SUPPORT if you want to use this function. You + must also set your build environment to link to the libjpeg library. However, + if you use CMake and dlib's default CMakeLists.txt file then it will get setup + automatically. + </p> + <p> + This routine can save images containing any type of pixel. However, save_jpeg() can + only natively store the following pixel types: <b>rgb_pixel</b> + and <b>uint8</b>. All other pixel types will be converted into + one of these types as appropriate before being saved to disk. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>load_image</name> + <file>dlib/image_io.h</file> + <spec_file link="true">dlib/image_loader/load_image_abstract.h</spec_file> + <description> + This global function takes a file name, looks at its extension, and + then loads it into an <a href="containers.html#array2d">array2d</a> of + <a href="dlib/pixel.h.html">pixels</a> using the appropriate image + loading routine. The supported types are BMP, PNG, JPEG, GIF, and the dlib DNG file format. + + <p> + Note that you can only load PNG, JPEG, and GIF files if you link against + libpng, libjpeg, and libgif respectively. You will also need to #define + DLIB_PNG_SUPPORT, DLIB_JPEG_SUPPORT, and DLIB_GIF_SUPPORT. Or use CMake and + it will do all this for you. + </p> + </description> + + <examples> + <example>image_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>load_bmp</name> + <file>dlib/image_io.h</file> + <spec_file link="true">dlib/image_loader/image_loader_abstract.h</spec_file> + <description> + This global function loads a MS Windows BMP file into an <a href="containers.html#array2d">array2d</a> of + <a href="dlib/pixel.h.html">pixels</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>load_png</name> + <file>dlib/image_io.h</file> + <spec_file link="true">dlib/image_loader/png_loader_abstract.h</spec_file> + <description> + This function loads a Portable Network Graphics (PNG) image file into + an <a href="containers.html#array2d">array2d</a> of <a href="dlib/pixel.h.html">pixels</a>. + <p> + Note that you must define DLIB_PNG_SUPPORT if you want to use this object. You + must also set your build environment to link to the libpng library. However, + if you use CMake and dlib's default CMakeLists.txt file then it will get setup + automatically. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>save_bmp</name> + <file>dlib/image_io.h</file> + <spec_file link="true">dlib/image_saver/image_saver_abstract.h</spec_file> + <description> + This global function saves an image as a MS Windows BMP file. + + <p> + This routine can save images containing any type of pixel. However, it will + convert all color pixels into <b>rgb_pixel</b> and grayscale pixels into + <b>uint8</b> type before saving to disk. + </p> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>draw_line</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/draw_abstract.h</spec_file> + <description> + This global function draws a line on an image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>draw_solid_circle</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/draw_abstract.h</spec_file> + <description> + This global function draws a solid circle on an image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>render_face_detections</name> + <file>dlib/image_processing/render_face_detections.h</file> + <spec_file link="true">dlib/image_processing/render_face_detections_abstract.h</spec_file> + <description> + This function takes a set of <a href="#full_object_detection">full_object_detections</a> + which represent human faces annotated with 68 facial landmarks (according to the iBUG 300-W + scheme) and converts them into a form suitable for display on an + <a href="dlib/gui_widgets/widgets_abstract.h.html#image_window">image_window</a>. + + <p> + For example, it will take the output of a <a href="#shape_predictor">shape_predictor</a> + that uses this facial landmarking scheme and will produce visualizations like this: + </p> + <img src='face_landmarking_example.png'/> + + </description> + <examples> + <example>face_landmark_detection_ex.cpp.html</example> + <example>webcam_face_pose_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>draw_rectangle</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/draw_abstract.h</spec_file> + <description> + This global function draws a rectangle on an image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>tile_images</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/draw_abstract.h</spec_file> + <description> + This function takes an array of images and tiles them into a single large + square image and returns this new big tiled image. Therefore, it is a useful + method to visualize many small images at once. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>draw_fhog</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/fhog_abstract.h</spec_file> + <description> + This function takes a FHOG feature map which was created by + <a href="#extract_fhog_features">extract_fhog_features</a> and + converts it into an image suitable for display on the screen. In + particular, we draw all the hog cells into a grayscale image in a + way that shows the magnitude and orientation of the gradient + energy in each cell. + </description> + <examples> + <example>fhog_ex.cpp.html</example> + <example>fhog_object_detector_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>fill_rect</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/draw_abstract.h</spec_file> + <description> + This global function draws a solid rectangle on an image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>assign_border_pixels</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/assign_image_abstract.h</spec_file> + <description> + This global function assigns all the pixels in the border of an image to + a specific value. + </description> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>assign_all_pixels</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/assign_image_abstract.h</spec_file> + <description> + This global function assigns all the pixels in an image a specific value. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>assign_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/assign_image_abstract.h</spec_file> + <description> + This global function copies one image into another and performs any + necessary color space conversions to make it work right. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>assign_image_scaled</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/assign_image_abstract.h</spec_file> + <description> + This global function copies one image into another and performs any + necessary color space conversions to make it work right. Additionally, + if the dynamic range of the source image is too big to fit into the destination image + then it will attempt to perform the appropriate scaling. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>get_histogram</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/equalize_histogram_abstract.h</spec_file> + <description> + This global function computes an image's histogram and returns it in the + form of a column or row <a href="linear_algebra.html#matrix">matrix</a> object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>edge_orientation</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/edge_detector_abstract.h</spec_file> + <description> + This global function takes horizontal and vertical gradient magnitude + values and returns the orientation of the gradient. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>equalize_histogram</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/equalize_histogram_abstract.h</spec_file> + <description> + This global function performs histogram equalization on an image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>hysteresis_threshold</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/thresholding_abstract.h</spec_file> + <description> + This global function performs hysteresis thresholding on an image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sobel_edge_detector</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/edge_detector_abstract.h</spec_file> + <description> + This global function performs spatial filtering on an image using the + sobel edge detection filters. + </description> + + <examples> + <example>image_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>suppress_non_maximum_edges</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/edge_detector_abstract.h</spec_file> + <description> + This global function performs non-maximum suppression on a gradient + image. + </description> + + <examples> + <example>image_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>zero_border_pixels</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/assign_image_abstract.h</spec_file> + <description> + This global function zeros the pixels on the border of an image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>spatially_filter_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/spatial_filtering_abstract.h</spec_file> + <description> + This global function performs spatial filtering on an image with a user + supplied filter. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>gaussian_blur</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/spatial_filtering_abstract.h</spec_file> + <description> + This global function blurs an image by convolving it with a Gaussian filter. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>spatially_filter_image_separable</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/spatial_filtering_abstract.h</spec_file> + <description> + This global function performs spatial filtering on an image with a user + supplied separable filter. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>float_spatially_filter_image_separable</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/spatial_filtering_abstract.h</spec_file> + <description> + This global function performs spatial filtering on an image with a user + supplied separable filter. It is optimized to work only on float valued + images with float valued filters. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>spatially_filter_image_separable_down</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/spatial_filtering_abstract.h</spec_file> + <description> + This global function performs spatial filtering on an image with a user + supplied separable filter. Additionally, it produces a downsampled + output. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>max_filter</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/spatial_filtering_abstract.h</spec_file> + <description> + This function slides a rectangle over an input image and outputs a new + image which contains the maximum valued pixel found inside the rectangle at each + position in the input image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sum_filter</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/spatial_filtering_abstract.h</spec_file> + <description> + This function slides a rectangle over an input image and adds the sum + of pixel values in each rectangle location to another image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sum_filter_assign</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/spatial_filtering_abstract.h</spec_file> + <description> + This function slides a rectangle over an input image and outputs a new + image which contains the sum of pixels inside the rectangle at each + position in the input image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>separable_3x3_filter_block_grayscale</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/spatial_filtering_abstract.h</spec_file> + <description> + This routine filters part of an image with a user supplied 3x3 separable filter. + The output is a grayscale sub-image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>separable_3x3_filter_block_rgb</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/spatial_filtering_abstract.h</spec_file> + <description> + This routine filters part of an image with a user supplied 3x3 separable filter. + The output is a RGB sub-image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>create_tiled_pyramid</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/image_pyramid_abstract.h</spec_file> + <description> + This function creates an image pyramid and packs the entire pyramid into + one big image. It does this by tiling the different pyramid layers together + and outputting the result. Here is an example: + <br/> + <img src='tiled_pyramid_example.jpg'/> + <br/> + + Also, you can use the + <a href="dlib/image_transforms/image_pyramid_abstract.h.html#image_to_tiled_pyramid">image_to_tiled_pyramid()</a> + and + <a href="dlib/image_transforms/image_pyramid_abstract.h.html#image_to_tiled_pyramid">tiled_pyramid_to_image()</a> routines + to convert between the input image coordinate space and the tiled pyramid + coordinate space. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>pyramid_down</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/image_pyramid_abstract.h</spec_file> + <description> + This is a simple function object to help create image pyramids. It + downsamples an image by a ratio of N to N-1 where N is supplied by the + user as a template argument. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>pyramid_disable</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/image_pyramid_abstract.h</spec_file> + <description> + This object downsamples an image at a ratio of infinity to 1. That + means it always outputs an image of size zero. This is useful because + it can be supplied to routines which take a pyramid_down function object + and it will essentially disable pyramid processing. This way, a pyramid + oriented function can be turned into a regular routine which processes + just the original undownsampled image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>interpolate_nearest_neighbor</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This object is a tool for performing nearest neighbor interpolation + on an image. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>interpolate_bilinear</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This object is a tool for performing bilinear interpolation + on an image. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>interpolate_quadratic</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This object is a tool for performing quadratic interpolation + on an image. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>transform_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This routine is a tool for transforming images using some kind of point mapping + function (e.g. <a href="linear_algebra.html#point_transform_affine">point_transform_affine</a>) + and pixel interpolation tool (e.g. <a href="#interpolate_quadratic">interpolate_quadratic</a>). + An example application of this routine is for image rotation. Indeed, it is how + <a href="#rotate_image">rotate_image</a> is implemented. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rotate_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This is a routine for rotating an image. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>pyramid_up</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This routine upsamples an image. In particular, it takes a + <a href="#pyramid_down">pyramid_down</a> object (or an object with a + compatible interface) as an argument and performs an upsampling + which is the inverse of the supplied pyramid_down object. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>resize_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This is a routine capable of resizing or stretching an image. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>extract_image_chips</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This function extracts "chips" from an image. That is, it takes a list of + rectangular sub-windows (i.e. chips) within an image and extracts those + sub-windows, storing each into its own image. It also allows the user to + specify the scale and rotation for the chip. + </description> + <examples> + <example>face_landmark_detection_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>random_cropper</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/random_cropper_abstract.h</spec_file> + <description> + This object is a tool for extracting random crops of objects from a set of + images. The crops are randomly jittered in scale, translation, and + rotation but more or less centered on objects specified by <a href="#mmod_rect">mmod_rect</a> + objects. + </description> + <examples> + <example>random_cropper_ex.cpp.html</example> + <example>dnn_mmod_ex.cpp.html</example> + <example>dnn_mmod_find_cars_ex.cpp.html</example> + <example>dnn_mmod_train_find_cars_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>jitter_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + Randomly jitters an image by slightly rotating, scaling, and translating it. + There is also a 50% chance it will be mirrored left to right. + </description> + <examples> + <example>dnn_metric_learning_on_images_ex.cpp.html</example> + <example>dnn_face_recognition_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sub_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This function returns a lightweight sub-image of another image. In particular, + the returned sub-image simply holds a pointer to the original image, meaning there + is no overhead for using or creating the sub-image. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>add_image_left_right_flips</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This routine takes a set of images and bounding boxes within those + images and doubles the size of the dataset by adding left/right + flipped copies of each image as well as the corresponding bounding + boxes. Therefore, this function is useful if you are training and + object detector and your objects have a left/right symmetry. + </description> + <examples> + <example>fhog_object_detector_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>add_image_rotations</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This routine takes a set of images and bounding boxes within those images and + grows the dataset by computing many different rotations of each image. It will + also adjust the positions of the bounding boxes so that they still fall on the + same objects in each rotated image. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rotate_image_dataset</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This routine takes a set of images and bounding boxes within those + images and rotates the entire dataset by a user specified angle. + This means that all images are rotated and the bounding boxes are adjusted + so that they still sit on top of the same visual objects in the new rotated images. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>flip_image_dataset_left_right</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This routine takes a set of images and bounding boxes within those images and + mirrors the entire dataset left to right. This means that all images are + flipped left to right and the bounding boxes are adjusted so that they still + sit on top of the same visual objects in the new flipped images. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>upsample_image_dataset</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This routine takes a set of images and bounding boxes within those images and + upsamples the entire dataset. This means that all images are upsampled and the + bounding boxes are adjusted so that they still sit on top of the same visual + objects in the new images. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>flip_image_left_right</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This is a routine which can flip an image from left to right. (e.g. as + if viewed through a mirror). + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>flip_image_up_down</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/interpolation_abstract.h</spec_file> + <description> + This routine flips an image upside down. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>auto_threshold_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/thresholding_abstract.h</spec_file> + <description> + This global function performs a simple binary thresholding on an image. + Instead of taking a user supplied threshold + it computes one from the image using k-means clustering. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>threshold_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/thresholding_abstract.h</spec_file> + <description> + This global function performs a simple binary thresholding on an image with a user + supplied threshold. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>label_connected_blobs</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/label_connected_blobs_abstract.h</spec_file> + <description> + This function labels each of the connected blobs in an image with a unique integer label. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>segment_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/segment_image_abstract.h</spec_file> + <description> + Attempts to segment an image into regions which have some visual consistency to them. + In particular, this function implements the algorithm described in the paper: + <blockquote> + Efficient Graph-Based Image Segmentation by Felzenszwalb and Huttenlocher. + </blockquote> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_candidate_object_locations</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/segment_image_abstract.h</spec_file> + <description> + This function takes an input image and generates a set of candidate + rectangles which are expected to bound any objects in the image. It does + this by running a version of the <a href="#segment_image">segment_image</a> routine on the image and + then reports rectangles containing each of the segments as well as rectangles + containing unions of adjacent segments. The basic idea is described in the + paper: + <blockquote> + Segmentation as Selective Search for Object Recognition by Koen E. A. van de Sande, et al. + </blockquote> + Note that this function deviates from what is described in the paper slightly. + See the code for details. + </description> + <examples> + <example>find_candidate_object_locations.py.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>binary_dilation</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/morphological_operations_abstract.h</spec_file> + <description> + This global function performs the morphological operation of dilation on an image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>binary_erosion</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/morphological_operations_abstract.h</spec_file> + <description> + This global function performs the morphological operation of erosion on an image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>binary_open</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/morphological_operations_abstract.h</spec_file> + <description> + This global function performs a morphological opening on an image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>binary_close</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/morphological_operations_abstract.h</spec_file> + <description> + This global function performs a morphological closing on an image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>binary_intersection</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/morphological_operations_abstract.h</spec_file> + <description> + This global function computes the intersection of two binary images. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>binary_union</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/morphological_operations_abstract.h</spec_file> + <description> + This global function computes the union of two binary images. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>binary_difference</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/morphological_operations_abstract.h</spec_file> + <description> + This global function computes the difference of two binary images. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>binary_complement</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/morphological_operations_abstract.h</spec_file> + <description> + This global function computes the complement of a binary image. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>scan_image</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/scan_image_abstract.h</spec_file> + <description> + This global function is a tool for sliding a set of rectangles + over an image space and finding the locations where the sum of pixels in + the rectangles exceeds a threshold. It is useful for implementing + certain kinds of sliding window classifiers. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>scan_image_movable_parts</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/scan_image_abstract.h</spec_file> + <description> + This global function is a tool for sliding a set of rectangles + over an image space and finding the locations where the sum of pixels in + the rectangles exceeds a threshold. It is useful for implementing + certain kinds of sliding window classifiers. The behavior of this + routine is similar to <a href="#scan_image">scan_image</a> except that + it can also handle movable parts in addition to rigidly placed parts + within the sliding window. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_points_above_thresh</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/scan_image_abstract.h</spec_file> + <description> + This routine finds all points in an image with a pixel value above a + threshold. It also has the ability to produce an efficient random + subsample of such points if the number of them is very large. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>scan_image_pyramid</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/scan_image_pyramid_abstract.h</spec_file> + <description> + This object is a tool for running a sliding window classifier over + an image pyramid. This object can also be understood as a general + tool for implementing the spatial pyramid models described in the paper: + <blockquote> + Beyond Bags of Features: Spatial Pyramid Matching for Recognizing + Natural Scene Categories by Svetlana Lazebnik, Cordelia Schmid, + and Jean Ponce + </blockquote> + It also includes the ability to represent movable part models. + + <br/><br/> + The following feature extractors can be used with the scan_image_pyramid object: + <ul style="margin-top:0em"> + <li><a href="#hashed_feature_image">hashed_feature_image</a></li> + <li><a href="#binned_vector_feature_image">binned_vector_feature_image</a></li> + <li><a href="#nearest_neighbor_feature_image">nearest_neighbor_feature_image</a></li> + </ul> + </description> + <examples> + <example>object_detector_ex.cpp.html</example> + <example>object_detector_advanced_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>scan_fhog_pyramid</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/scan_fhog_pyramid_abstract.h</spec_file> + <description> + + This object is a tool for running a fixed sized sliding window classifier + over an image pyramid. In particular, it slides a linear classifier over + a HOG pyramid as discussed in the paper: + <blockquote> + Histograms of Oriented Gradients for Human Detection by Navneet Dalal + and Bill Triggs, CVPR 2005 + </blockquote> + However, we augment the method slightly to use the version of HOG features + from: + <blockquote> + Object Detection with Discriminatively Trained Part Based Models by + P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan + IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 9, Sep. 2010 + </blockquote> + Since these HOG features have been shown to give superior performance. + </description> + <examples> + <example>fhog_object_detector_ex.cpp.html</example> + <example>train_object_detector.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>scan_image_boxes</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/scan_image_boxes_abstract.h</spec_file> + <description> + This object is a tool for running a classifier over an image with the goal + of localizing each object present. The localization is in the form of the + bounding box around each object of interest. + + <p> + Unlike the <a href="#scan_image_pyramid">scan_image_pyramid</a> object which scans a + fixed sized window over an image pyramid, the scan_image_boxes tool allows you to + define your own list of "candidate object locations" which should be evaluated. + This is simply a list of rectangle objects which might contain objects of + interest. The scan_image_boxes object will then evaluate the classifier at each + of these locations and return the subset of rectangles which appear to have + objects in them. + </p> + + This object can also be understood as a general tool for implementing the spatial + pyramid models described in the paper: + <blockquote> + Beyond Bags of Features: Spatial Pyramid Matching for Recognizing + Natural Scene Categories by Svetlana Lazebnik, Cordelia Schmid, + and Jean Ponce + </blockquote> + + <br/><br/> + The following feature extractors can be used with the scan_image_boxes object: + <ul style="margin-top:0em"> + <li><a href="#hashed_feature_image">hashed_feature_image</a></li> + <li><a href="#binned_vector_feature_image">binned_vector_feature_image</a></li> + <li><a href="#nearest_neighbor_feature_image">nearest_neighbor_feature_image</a></li> + </ul> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>scan_image_custom</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/scan_image_custom_abstract.h</spec_file> + <description> + This object is a tool for running a classifier over an image with the goal + of localizing each object present. The localization is in the form of the + bounding box around each object of interest. + + <p> + Unlike the <a href="#scan_image_pyramid">scan_image_pyramid</a> + and <a href="#scan_image_boxes">scan_image_boxes</a> objects, this image + scanner delegates all the work of constructing the object feature vector to + a user supplied feature extraction object. That is, scan_image_custom + simply asks the supplied feature extractor what boxes in the image we + should investigate and then asks the feature extractor for the complete + feature vector for each box. That is, scan_image_custom does not apply any + kind of pyramiding or other higher level processing to the features coming + out of the feature extractor. That means that when you use + scan_image_custom it is completely up to you to define the feature vector + used with each image box. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>full_object_detection</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/full_object_detection_abstract.h</spec_file> + <description> + This object represents the location of an object in an image along with the + positions of each of its constituent parts. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>mmod_rect</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/full_object_detection_abstract.h</spec_file> + <description> + This is a simple struct that is used to give training data and receive detections + from the <a href="ml.html#loss_mmod_">Max-Margin Object Detection loss layer</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>get_frontal_face_detector</name> + <file>dlib/image_processing/frontal_face_detector.h</file> + <spec_file link="true">dlib/image_processing/frontal_face_detector_abstract.h</spec_file> + <description> + This function returns an <a href="#object_detector">object_detector</a> that is + configured to find human faces that are looking more or less towards the camera. + It is created using the <a href="#scan_fhog_pyramid">scan_fhog_pyramid</a> + object. + </description> + <examples> + <example>face_detection_ex.cpp.html</example> + <example>face_detector.py.html</example> + <example>webcam_face_pose_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>object_detector</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/object_detector_abstract.h</spec_file> + <description> + This object is a tool for detecting the positions of objects in an image. In + particular, it is a simple container to aggregate an instance of an image + scanner object (either <a href="#scan_fhog_pyramid">scan_fhog_pyramid</a>, + <a href="#scan_image_pyramid">scan_image_pyramid</a>, <a + href="#scan_image_boxes">scan_image_boxes</a>, or + <a href="#scan_image_custom">scan_image_custom</a>), the weight vector + needed by one of these image scanners, and finally an instance of + <a href="#test_box_overlap">test_box_overlap</a>. The test_box_overlap object + is used to perform non-max suppression on the output of the image scanner + object. + + <p> + Note that you can use the + <a href="ml.html#structural_object_detection_trainer">structural_object_detection_trainer</a> + to learn the parameters of an object_detector. See the example programs for an introduction. + </p> + + <p> + Also note that dlib contains more powerful <a + href="ml.html#loss_mmod_">CNN based object detection + tooling</a>, which will usually run slower but produce much + more general and accurate detectors. + </p> + + </description> + <examples> + <example>fhog_object_detector_ex.cpp.html</example> + <example>face_detection_ex.cpp.html</example> + <example>object_detector_ex.cpp.html</example> + <example>object_detector_advanced_ex.cpp.html</example> + <example>train_object_detector.cpp.html</example> + + <example>face_detector.py.html</example> + <example>train_object_detector.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>correlation_tracker</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/correlation_tracker_abstract.h</spec_file> + <description> + This is a tool for tracking moving objects in a video stream. You give it + the bounding box of an object in the first frame and it attempts to track the + object in the box from frame to frame. + + <p> + This tool is an implementation of the method described in the following paper: + <blockquote> + Danelljan, Martin, et al. "Accurate scale estimation for robust visual + tracking." Proceedings of the British Machine Vision Conference BMVC. 2014. + </blockquote> + </p> + </description> + <examples> + <example>video_tracking_ex.cpp.html</example> + <example>correlation_tracker.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>evaluate_detectors</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/scan_fhog_pyramid_abstract.h</spec_file> + <description> + This function allows you to efficiently run a bunch of + <a href="#scan_fhog_pyramid">scan_fhog_pyramid</a> based + <a href="#object_detector">object_detectors</a> + over an image. Importantly, this function is faster than running + each detector individually because it computes the HOG features + only once and then reuses them for each detector. + </description> + <examples> + <example>fhog_object_detector_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_box_overlap</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/box_overlap_testing_abstract.h</spec_file> + <description> + This object is a simple function object for determining if two + <a href="linear_algebra.html#rectangle">rectangles</a> overlap. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>remove_unobtainable_rectangles</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/remove_unobtainable_rectangles_abstract.h</spec_file> + <description> + Recall that the <a href="#scan_image_pyramid">scan_image_pyramid</a> and + <a href="#scan_image_boxes">scan_image_boxes</a> objects can't produce + all possible rectangles as object detections since they only + consider a limited subset of all possible object positions. + Therefore, when training an object detector that uses these tools + you must make sure the training data does not contain any object + locations that are unobtainable by the image scanning model. + The remove_unobtainable_rectangles() routine is a tool to filter out + these unobtainable rectangles from the training. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>compute_box_dimensions</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/detection_template_tools_abstract.h</spec_file> + <description> + This function is a tool for computing a rectangle with a particular + width/height ratio and area. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>create_single_box_detection_template</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/detection_template_tools_abstract.h</spec_file> + <description> + This function is a tool for creating a detection template usable by + the <a href="#scan_image_pyramid">scan_image_pyramid</a> object. This + particular function creates a detection template with exactly one feature + extraction region. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>create_overlapped_2x2_detection_template</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/detection_template_tools_abstract.h</spec_file> + <description> + This function is a tool for creating a detection template usable by + the <a href="#scan_image_pyramid">scan_image_pyramid</a> object. This + particular function creates a detection template with four overlapping feature + extraction regions. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>create_grid_detection_template</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/detection_template_tools_abstract.h</spec_file> + <description> + This function is a tool for creating a detection template usable by + the <a href="#scan_image_pyramid">scan_image_pyramid</a> object. This + particular function creates a detection template with a grid of feature + extraction regions. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>determine_object_boxes</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/scan_image_pyramid_tools_abstract.h</spec_file> + <description> + The <a href="#scan_image_pyramid">scan_image_pyramid</a> object represents a sliding + window classifier system. For it to work correctly it needs to be given a set of + object boxes which define the size and shape of each sliding window and these windows + need to be able to match the sizes and shapes of targets the user wishes to detect. + Therefore, the determine_object_boxes() routine is a tool for computing a set of object boxes + which can meet this requirement. + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>setup_grid_detection_templates</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/scan_image_pyramid_tools_abstract.h</spec_file> + <description> + This routine uses <a href="#determine_object_boxes">determine_object_boxes</a> to obtain a set of + object boxes and then adds them to a <a href="#scan_image_pyramid">scan_image_pyramid</a> object + as detection templates. It also uses <a href="#create_grid_detection_template">create_grid_detection_template</a> + to create each feature extraction region. Therefore, the detection templates will extract + features from a regular grid inside each object box. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>setup_grid_detection_templates_verbose</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/scan_image_pyramid_tools_abstract.h</spec_file> + <description> + This function is identical to <a href="#setup_grid_detection_templates">setup_grid_detection_templates</a> + except that it also outputs information regarding the selected detection templates + to standard out. + </description> + <examples> + <example>object_detector_ex.cpp.html</example> + <example>train_object_detector.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>setup_hashed_features</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/setup_hashed_features_abstract.h</spec_file> + <description> + This is a tool for configuring the <a href="#hashed_feature_image">hashed_feature_image</a> + or <a href="#binned_vector_feature_image">binned_vector_feature_image</a> object + with a random <a href="algorithms.html#projection_hash">projection hash</a>. + </description> + <examples> + <example>object_detector_ex.cpp.html</example> + <example>train_object_detector.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>randomly_sample_image_features</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/image_feature_sampling_abstract.h</spec_file> + <description> + Given a feature extractor such as the <a href="#hog_image">hog_image</a>, + this routine selects a random subsample of local image feature vectors + from a set of images. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>make_uniform_lbp_image</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/lbp_abstract.h</spec_file> + <description> + This function extracts the uniform local-binary-pattern feature at every pixel + of an image and stores the output in a new image object. + We use the idea of uniform LBPs from the paper: + <blockquote> + Face Description with Local Binary Patterns: Application to Face Recognition + by Ahonen, Hadid, and Pietikainen. + </blockquote> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>extract_histogram_descriptors</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/lbp_abstract.h</spec_file> + <description> + This function extracts histograms of pixel values from a set of windows in an + image and returns the histograms. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>extract_uniform_lbp_descriptors</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/lbp_abstract.h</spec_file> + <description> + Extracts histograms of uniform local-binary-patterns from an image. The + histograms are from densely tiled windows that do not overlap and cover all + of the image. + We use the idea of uniform LBPs from the paper: + <blockquote> + Face Description with Local Binary Patterns: Application to Face Recognition + by Ahonen, Hadid, and Pietikainen. + </blockquote> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>extract_highdim_face_lbp_descriptors</name> + <file>dlib/image_transforms.h</file> + <spec_file link="true">dlib/image_transforms/lbp_abstract.h</spec_file> + <description> + This function extracts the high-dimensional LBP feature described in the + paper: + <blockquote> + Blessing of Dimensionality: High-dimensional Feature and Its Efficient + Compression for Face Verification by Dong Chen, Xudong Cao, Fang Wen, and + Jian Sun + </blockquote> + </description> + </component> + + <!-- ************************************************************************* --> + + </components> + + <!-- ************************************************************************* --> + + +</doc> + diff --git a/ml/dlib/docs/docs/index.xml b/ml/dlib/docs/docs/index.xml new file mode 100644 index 000000000..0a4b7fa53 --- /dev/null +++ b/ml/dlib/docs/docs/index.xml @@ -0,0 +1,226 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + + <!-- ************************************************************************* --> + + <body> + + <p> + Dlib is a modern C++ toolkit containing machine learning algorithms and + tools for creating complex software in C++ to solve real world problems. + It is used in both industry and academia in a wide range of domains + including robotics, embedded devices, mobile phones, and large high + performance computing environments. Dlib's <a href="license.html">open source licensing</a> + allows you to use it in any application, free of charge. + </p> + + <p> + To follow or participate in the development of dlib subscribe to <a href="https://github.com/davisking/dlib">dlib on github</a>. + Also be sure to read the <a href="howto_contribute.html">how to contribute</a> page if you intend to + submit code to the project. + </p> + + <br/> + + <p> + <h2>Major Features</h2> + <ul> + <li><b>Documentation</b> + <ul> + <li>Unlike a lot of open source projects, this one provides complete and precise + documentation for every class and function. There are also debugging modes that check the + documented preconditions for functions. When this is enabled it will catch the vast majority of + bugs caused by calling functions incorrectly or using objects in an incorrect manner. + </li> + <li>Lots of example programs are provided</li> + <li><i>I consider the documentation to be the most important part of the library</i>. So if you find anything + that isn't documented, isn't clear, or has out of date documentation, tell me and I will fix it. + </li> + </ul> + </li> + + <li><b>High Quality Portable Code</b> + <ul> + <li>Good unit test coverage. The ratio of unit test lines of code to library lines of + code is about 1 to 4.</li> + <li>The library is tested regularly on MS Windows, Linux, and Mac OS X systems. However, it should + work on any POSIX system and has been used on Solaris, HPUX, and the BSDs.</li> + <li>No other packages are required to use the library. Only APIs that are + provided by an out of the box OS are needed. </li> + <li>There is no installation or configure step needed before you can use the library. See the + <a href="compile.html">How to compile</a> page for details.</li> + <li>All operating system specific code is isolated inside the OS abstraction layers which are + kept as small as possible. The rest of the library is either layered on top of the OS + abstraction layers or is pure ISO standard C++. </li> + </ul> + </li> + <li><b>Machine Learning Algorithms</b> + <ul> + <li><a href="ml.html#add_layer">Deep Learning</a></li> + <li>Conventional SMO based Support Vector Machines for <a href="ml.html#svm_nu_trainer">classification</a> + and <a href="ml.html#svr_trainer">regression</a> </li> + <li>Reduced-rank methods for large-scale <a href="ml.html#svm_c_ekm_trainer">classification</a> + and <a href="ml.html#krr_trainer">regression</a></li> + <li>Relevance vector machines for <a href="ml.html#rvm_trainer">classification</a> + and <a href="ml.html#rvm_regression_trainer">regression</a> </li> + <li>General purpose <a href="ml.html#one_vs_one_trainer">multiclass classification</a> tools</li> + <li>A <a href="ml.html#svm_multiclass_linear_trainer">Multiclass SVM</a></li> + <li>A tool for solving the optimization problem associated with + <a href="ml.html#structural_svm_problem">structural support vector machines</a>. </li> + <li>Structural SVM tools for <a href="ml.html#structural_sequence_labeling_trainer">sequence labeling</a> </li> + <li>Structural SVM tools for solving <a href="ml.html#structural_assignment_trainer">assignment problems</a> </li> + <li>Structural SVM tools for <a href="ml.html#structural_object_detection_trainer">object detection</a> in images as well as more powerful (but slower) <a href="ml.html#loss_mmod_">deep learning tools for object detection</a>. </li> + <li>Structural SVM tools for <a href="ml.html#structural_graph_labeling_trainer">labeling nodes</a> in graphs </li> + <li>A large-scale <a href="ml.html#svm_rank_trainer">SVM-Rank</a> implementation</li> + <li>An online <a href="ml.html#krls">kernel RLS regression</a> algorithm</li> + <li>An online <a href="ml.html#svm_pegasos">SVM classification</a> algorithm</li> + <li><a href="ml.html#vector_normalizer_frobmetric">Semidefinite Metric Learning</a></li> + <li>An online kernelized <a href="ml.html#kcentroid">centroid estimator</a>/novelty detector and + offline support vector <a href="ml.html#svm_one_class_trainer">one-class classification</a></li> + <li>Clustering algorithms: <a href="ml.html#find_clusters_using_kmeans">linear</a> + or <a href="ml.html#kkmeans">kernel k-means</a>, + <a href="ml.html#chinese_whispers">Chinese Whispers</a>, and + <a href="ml.html#newman_cluster">Newman clustering</a>. </li> + <li><a href="ml.html#rbf_network_trainer">Radial Basis Function Networks</a></li> + <li><a href="ml.html#mlp">Multi layer perceptrons</a> </li> + </ul> + </li> + + <li><b>Numerical Algorithms</b> + <ul> + <li>A fast <a href="linear_algebra.html#matrix">matrix</a> object implemented using the expression + templates technique and capable of using BLAS and LAPACK libraries when available.</li> + <li>Numerous linear algebra and mathematical operations are defined for the matrix object such as the + <a href="dlib/matrix/matrix_la_abstract.h.html#svd">singular value decomposition</a>, + <a href="dlib/matrix/matrix_utilities_abstract.h.html#trans">transpose</a>, + <a href="dlib/matrix/matrix_math_functions_abstract.h.html#sin">trig functions</a>, etc.</li> + <li>General purpose unconstrained non-linear optimization algorithms using the + <a href="optimization.html#cg_search_strategy">conjugate gradient</a>, + <a href="optimization.html#bfgs_search_strategy">BFGS</a>, and + <a href="optimization.html#lbfgs_search_strategy">L-BFGS</a> + techniques</li> + <li> <a href="optimization.html#solve_least_squares_lm">Levenberg-Marquardt</a> for solving non-linear + least squares problems </li> + <li>Box-constrained derivative-free optimization via the + <a href="optimization.html#find_min_bobyqa">BOBYQA</a> algorithm</li> + <li>An implementation of the <a href="optimization.html#oca">Optimized Cutting Plane Algorithm</a></li> + <li><preserve_space><a href="optimization.html#solve_qp_using_smo">Several</a> + <a href="optimization.html#solve_qp2_using_smo">quadratic</a> + <a href="optimization.html#solve_qp3_using_smo">program</a> + <a href="optimization.html#solve_qp4_using_smo">solvers</a></preserve_space> </li> + <li>Combinatorial optimization tools for solving + <a href="optimization.html#max_cost_assignment">optimal assignment</a> and + <a href="optimization.html#min_cut">min cut/max flow</a> problems as well as + the <a href="optimization.html#find_max_parse_cky">CKY algorithm</a> for finding the most probable parse tree</li> + <li>A <a href="algorithms.html#bigint">big integer</a> object</li> + <li>A <a href="algorithms.html#rand">random number</a> object</li> + </ul> + </li> + + <li><b>Graphical Model Inference Algorithms</b> + <ul> + <li><a href="bayes.html#bayesian_network_join_tree">Join tree</a> algorithm for exact inference in + a Bayesian network.</li> + <li><a href="bayes.html#bayesian_network_gibbs_sampler">Gibbs sampler</a> markov chain monte + carlo algorithm for approximate inference in a Bayesian network.</li> + <li>Routines for performing MAP inference in + <a href="optimization.html#find_max_factor_graph_viterbi">chain-structured</a>, + <a href="optimization.html#find_max_factor_graph_potts">Potts</a>, or + <a href="optimization.html#find_max_factor_graph_nmplp">general</a> factor graphs.</li> + </ul> + </li> + + <li><b>Image Processing</b> + <ul> + <li>Routines for <a href="imaging.html#load_image">reading</a> and + <a href="imaging.html#save_bmp">writing</a> common image formats. </li> + <li>Automatic color space conversion between various pixel types</li> + <li>Common image operations such as edge finding and morphological operations</li> + <li>Implementations of the <a href="imaging.html#get_surf_points">SURF</a>, + <a href="imaging.html#hog_image">HOG</a>, and <a href="imaging.html#extract_fhog_features">FHOG</a> + feature extraction algorithms.</li> + <li>Tools for <a href="imaging.html#object_detector">detecting objects</a> in images including + <a href="imaging.html#get_frontal_face_detector">frontal face detection</a> and + <a href="imaging.html#shape_predictor">object pose estimation</a>.</li> + <li>High quality <a href="dnn_face_recognition_ex.cpp.html">face recognition</a></li> + </ul> + </li> + + <li><b>Threading</b> + <ul> + <li>The library provides a portable and simple <a href="api.html#threads">threading API</a></li> + <li>A message passing <a href="other.html#pipe">pipe</a> for inter-thread and <a href="network.html#bridge">inter-process</a> communication</li> + <li>A <a href="other.html#timer">timer</a> object capable of generating events that are regularly spaced in time</li> + <li><a href="api.html#threaded_object">Threaded objects</a></li> + <li><a href="api.html#thread_function">Threaded functions</a></li> + <li><a href="api.html#parallel_for">Parallel for loops</a></li> + <li>A <a href="api.html#thread_pool">thread_pool</a> with support for futures</li> + </ul> + </li> + + <li><b>Networking</b> + <ul> + <li>The library provides a portable and simple <a href="api.html#sockets">TCP sockets API</a></li> + <li>An object to help you make TCP based <a href="network.html#server">servers</a></li> + <li><a href="network.html#iosockstream">iostream</a> and <a href="network.html#sockstreambuf">streambuf</a> + objects that enables TCP sockets to interoperate with the C++ iostreams library </li> + <li>A simple <a href="network.html#server_http">HTTP server</a> object you can use to embed a + web server into your applications</li> + <li>A message passing <a href="other.html#pipe">pipe</a> for inter-thread and <a href="network.html#bridge">inter-process</a> communication</li> + <li>A tool used to implement algorithms using the + <a href="network.html#bsp_context">Bulk Synchronous Parallel (BSP)</a> computing model</li> + </ul> + </li> + + <li><b>Graphical User Interfaces</b> + <ul> + <li>The library provides a portable and simple core <a href="api.html#gui_core">GUI API</a></li> + <li>Implemented on top of the core GUI API are numerous <a href="api.html#gui_widgets">widgets</a></li> + <li>Unlike many other GUI toolkits, the entire dlib GUI toolkit is threadsafe</li> + </ul> + </li> + + + <li><b>Data Compression and Integrity Algorithms</b> + <ul> + <li>A <a href="algorithms.html#crc32">CRC 32</a> object</li> + <li><a href="algorithms.html#md5">MD5</a> functions</li> + <li>Various abstracted objects representing parts of <a href="compression.html">data compression</a> + algorithms. Many forms of the PPM algorithm are included. </li> + </ul> + </li> + + <li><b>Testing</b> + <ul> + <li>A thread safe <a href="other.html#logger">logger</a> object styled after the popular Java logger log4j</li> + <li>A modular <a href="other.html#dlib_testing_suite">unit testing framework</a></li> + <li>Various <a href="metaprogramming.html">assert</a> macros useful for testing preconditions</li> + </ul> + </li> + + <li><b>General Utilities</b> + <ul> + <li>A type-safe <a href="other.html#byte_orderer">object</a> to convert between big and little endian byte orderings</li> + <li>A <a href="parsing.html#cmd_line_parser">command line parser</a> with the ability to + parse and validate command lines with various types of arguments and options</li> + <li>An <a href="parsing.html#xml_parser">XML parser</a></li> + <li>An object that can perform <a href="parsing.html#base64">base64</a> conversions</li> + <li>Many <a href="containers.html">container classes</a></li> + <li><a href="other.html#serialize">Serialization support</a></li> + <li>Many <a href="other.html#memory_manager">memory manager</a> objects that implement + different memory pooling strategies</li> + <li>A tool that lets you easily <a href="other.html#MATLAB">call C++ from MATLAB</a></li> + </ul> + </li> + </ul> + + </p> + + + </body> + + <!-- ************************************************************************* --> + +</doc> diff --git a/ml/dlib/docs/docs/intro.xml b/ml/dlib/docs/docs/intro.xml new file mode 100644 index 000000000..bd21c7e5b --- /dev/null +++ b/ml/dlib/docs/docs/intro.xml @@ -0,0 +1,431 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Introduction</title> + + + + <!-- ************************************************************************* --> + + <body> + + + + + + + <!-- **************************** OVERVIEW SECTION **************************** --> + + + + <h1>Overview</h1> + + + + + <p> + Dlib is a general purpose cross-platform open source software library written in the C++ programming + language. Its design is heavily influenced by ideas from design by contract and component-based + software engineering. This means it is, first and foremost, a collection of independent + software components, each accompanied by extensive documentation and thorough debugging modes. + </p> + + + <p> + <a href='mailto:davis@dlib.net'>Davis King</a> has been the primary + author of dlib since development began in 2002. In that time + dlib has grown to include a wide variety of tools. In particular, + it now contains software components for dealing with networking, + threads, graphical interfaces, complex data structures, linear + algebra, statistical machine learning, image processing, data + mining, XML and text parsing, numerical optimization, Bayesian + networks, and numerous other tasks. In + recent years, much of the development has been focused on creating + a broad set of statistical machine learning tools. However, dlib + remains a general purpose library and <a href="howto_contribute.html">welcomes contributions</a> of high + quality software components useful in any domain. + </p> + + <p> + Core to the development philosophy of dlib is a dedication to + portability and ease of use. Therefore, all code in dlib is designed + to be as portable as possible and similarly to not require a user to + configure or install anything. To help achieve this, all platform + specific code is confined inside the API wrappers. Everything else is + either layered on top of those wrappers or is written in pure ISO + standard C++. Currently the library is known to work on OS X, MS + Windows, Linux, Solaris, the BSDs, and HP-UX. It should work on any + POSIX platform but I haven't had the opportunity to test it on any + others (if you have access to other platforms and would like to help + increase this list then let me know). + </p> + <p> + The rest of this page explains everything you need to know to get started using the library. It + explains where to find the documentation for each object/function and how to interpret + what you find there. For help compiling with dlib check out the <a href="compile.html">how to compile</a> + page. Or if you are having trouble finding where a particular object's documentation is located you may + be able to find it by consulting the <a href="term_index.html">index</a>.</p> + <p> + The library is also covered by the very liberal Boost Software License + so feel free to use it any way you like. However, if you use dlib in + your research then please cite <a href="faq.html#HowcanIcitedlib">its Journal of Machine Learning Research paper</a> when + publishing. + </p> + <p> + Finally, I must give some credit to the <a + href="http://www.cse.ohio-state.edu/~weide/rsrg/index.html">Reusable + Software Research Group</a> at Ohio State since they taught me much + of the software engineering techniques used in the creation of this library. + </p> + + + <!-- **************************** NOTATION SECTION **************************** --> + + + <h1>Notation</h1> + <p> + For the most part I try to document my code in a way that any C++ programmer would understand, + but for the sake of brevity I use some of the following uncommon notation. + </p> + + <ul> + <li/><b> kernel, extension, and abstract </b> + <ul> + Each component of the library has a specification which defines its core behavior and interface. This + specification defines what is called the component's kernel. Additionally, each component may have any number of + extensions. An extension is essentially a specification for something that layers functionality on top of the + kernel of a component. + <br/> + <br/> In the naming of files I use the word abstract to indicate that a file + contains a specification of a kernel component or extension rather than an actual implementation. + </ul> + + + + + <br/><li/><b>/*! comments like this !*/</b> + <ul> + This is just for "formal comments." Generally these appear after a function prototype and contain + the requires/ensures stuff or at the top of a class and tell you general things about the class. + </ul> + + + + + <br/><li/> <b> requires/ensures/throws </b> + <ul> + These words appear in the formal comment following function prototypes and have the following meanings. + <br/><br/><u>requires</u>: This defines a list of requirements for calling the function. These requirements + MUST be met or a call to the function has undefined results. (note that when the checking/debugging modes + are enabled on an object then it will throw the dlib::fatal_error exception with fatal_error::type == EBROKEN_ASSERT when the requires clause is + broken rather than causing "undefined results") + + <br/><br/><u>ensures</u>: This defines what the function does. It is a list of conditions that will be + true after the function finishes executing. Note that if an exception is thrown then nothing in the + ensures clause is guaranteed to be true. + + <br/><br/><u>throws</u>: This defines what exceptions may be thrown by this function. It generally + tells you why the exception might be thrown. It also tells you what the function does in this event: + Does it have no effect at all? Does it corrupt any objects? etc. + + <br/> + <br/> + Sometimes these blocks do not appear in the formal comment. The meanings in these cases are as follows: + <br/><u>missing requires</u>: There are no requirements, you may put anything in the function arguments. + <br/><u>missing ensures</u>: This means that the effects of the function are unspecified. This is often used + for call backs where the client programmer implements the actual function. + <br/><u>missing throws</u>: This doesn't mean anything. A function without a throws block + might throw exceptions or it might not. + + <br/> + <br/> + So in summary, the requires clause must always be satisfied, the ensures clause tells you what the + function does when it does <i>not</i> throw or return an error, and the throws clause tells you what happens when the function + <i>does</i> throw. + + </ul> + + + + <br/><li/> <anchor>meaning_of_hash</anchor> <b> meaning of # symbol </b> + <ul> + I use this as a prefix on identifiers to make reference to the value of the identifier "after" + some event has occurred. + <br/><br/> + The most common place I use this notation is inside the formal comment following a function prototype. + If the # symbol appears in a requires/ensures/throws block then it means the value of + the identifier after the function has finished, otherwise all references to an identifier + refer to its value before the function was called. + <br/><br/> + An example will make it clear. + + + <code_box><font color='#3333FF'>int</font> <b>funct</b><font face="Lucida Console">(</font> +<font color='#3333FF'> int</font>& something +<font face="Lucida Console">);</font> +<font color='#009900'>/*! + requires + - something > 4 + ensures + - #some_other_function() == 9 + - #something == something + 1 + - returns something +!*/</font> +</code_box> + + This says that funct() requires that "something" be greater than 4, that funct() will increment "something" + by 1, and funct() returns the original value of something. It also says that + <i>after</i> the call to funct() ends a call to some_other_function() will return the value 9. + + </ul> + + <br/><li/> <anchor>CONVENTION</anchor> <b> CONVENTION </b> + <ul> + This is a section of the formal comment which appears at the top of classes which are + actual implementations (as opposed to specifications). This section of the comment contains + a list of invariants that tell you what the member variables are used for. It also relates + the state of the member variables to the class interface. + <br/> + <br/> + For example, you might see a line in this section that says "my_size == size()". This just means + that the member variable my_size always contains the value returned by the size() function. + </ul> + + + + + <br/><li/> <b> "initial value for its type" </b> + <ul> + I frequently say that after a function executes some variable or argument will have an + initial value for its type. This makes sense for objects with a user defined constructor, + but for anything else not so much. Therefore the initial value of a type with no user defined + constructor is undefined. + </ul> + + </ul> + + + + + <!-- **************************** ORGANIZATION SECTION **************************** --> + + <h1>Organization</h1> + + <p> + The library can be thought of as a collection of components. Each component always consists of + at least two separate files, a specification file and an implementation file. The specification + files are the ones that end with _abstract.h. Each of these specification files don't actually + contain any code and they even have preprocessor directives that prevent any of their contents from + being included. Their purpose is purely to document a component's interface in a file that isn't + cluttered with implementation details the user shouldn't need to know about. + </p> + + <p> + The next important concept in dlib organization is multi-implementation components. That is, + some components provide more than one implementation of what is defined in their specification. + When you use these components you have to identify them with names like <tt>dlib::component::kernel_1a</tt>. + Often these components will have just a debugging and non-debugging implementation. However, many components + provide a large number of alternate implementations. For example, the <a href="compression.html#entropy_encoder_model">entropy_encoder_model</a> + has 32 different implementations you can choose from. + </p> + + <ul> + + <li/> <b>File organization for multi-implementation components</b> + <ul> + Each component gets its own folder and one file in the root of the directory tree. + <br/><br/> + I will use the <a href="containers.html#queue">queue</a> object as a typical example and + explain what each of its files contain. + Below is the directory structure and all the files related to the queue component. + + <br/><br/> + <ul><li/> <b> file tree </b> + <ul> + <li/> dlib/ + <ul> + <li/> queue.h + <li/> queue/ + <ul> + <li/> queue_kernel_abstract.h + <li/> queue_kernel_1.h + <li/> queue_kernel_2.h + <li/> queue_kernel_c.h + <li/> queue_sort_abstract.h + <li/> queue_sort_1.h + </ul> + </ul> + </ul> + + + <br/> + + <li/> <a href="dlib/queue.h.html">queue.h</a> + <ul> This file does not contain any executable code. All it does is define the typedefs such as + kernel_1a, kernel_1a_c, etc. for the queue object. See the <a href="#creating_objects">Creating Objects</a> + section to learn what these typedefs are for. + </ul> + + <li/> <a href="dlib/queue/queue_kernel_abstract.h.html"> queue_kernel_abstract.h </a> + <ul> + This file does not contain any code. It even has preprocessor directives that prevent + any of its contents from being included. + <br/> + <br/> + The purpose of this file is to define exactly what a queue object does and what its + interface is. + </ul> + + <li/> <a href="dlib/queue/queue_sort_abstract.h.html"> queue_sort_abstract.h </a> + <ul> + This file also doesn't contain any code. Its only purpose is to define the sort + extension to queue objects. + </ul> + + <li/> <a href="dlib/queue/queue_kernel_1.h.html"> queue_kernel_1.h </a> + <ul> + This file contains an implementation of the queue kernel specification found + in queue_kernel_abstract.h + </ul> + + <li/> <a href="dlib/queue/queue_kernel_2.h.html"> queue_kernel_2.h </a> + <ul> + This file contains another implementation of the queue kernel specification found + in queue_kernel_abstract.h + </ul> + + <li/> <a href="dlib/queue/queue_sort_1.h.html"> queue_sort_1.h </a> + <ul> + This file contains an implementation of the queue sort extension specification found + in queue_sort_abstract.h + </ul> + + <li/> <a href="dlib/queue/queue_kernel_c.h.html"> queue_kernel_c.h </a> + <ul> + This file contains a templated class which wraps any implementation of the queue kernel + specification. It is used during debugging to check that the requires clauses are never + violated. + </ul> + </ul> + </ul> + </ul> + + + + + + <!-- **************************** CREATING OBJECTS SECTION **************************** --> + + + + + <anchor>creating_objects</anchor> + <h1>Creating Objects</h1> + + <p> + To create many of the objects in this library you need to choose which kernel implementation you would like and if you + want the checking version or any extensions. + </p> + <p> + To make this easy there are header files which define typedefs of all this stuff. For + example, to create a queue of ints using queue kernel implementation 1 you would type + <tt>dlib::queue<int>::kernel_1a my_queue;</tt>. Or to get the debugging/checking version you + would type <tt>dlib::queue<int>::kernel_1a_c my_queue;</tt>. + </p> + <p> + There can be a lot of different typedefs for each component. You can find a list of them + in the section for the component in question. For the queue component they can be found + <a href="containers.html#queue">here</a>. + </p> + <p> + None of the above applies to the single-implementation components, that is, anything that doesn't have an "implementations" + section in its documentation. These tools are designed to have only one implementation and thus do not follow the + above naming convention. For example, to create a + <a href="other.html#logger">logger</a> object you would simply type <tt>dlib::logger mylog("name");</tt>. + For the purposes of object creation the API components also appear to be single-implementation. That is, there is no + need to specify which implementation you want since it is automatically determined by which platform you compile under. + Note also that there are no explicit checking versions of these components. However, there are + <a href="metaprogramming.html#DLIB_ASSERT">DLIB_ASSERT</a> statements that perform checking and you can + enable them by #defining DEBUG or ENABLE_ASSERTS. + </p> + + + <!-- **************************** ASSUMPTIONS SECTION **************************** --> + + + <h1>Assumptions</h1> + There are some restrictions on the behavior of certain objects or functions. + Rather than replicating these restrictions all over the place in my documentation they + are listed here. + + <ul> + + <li/> <b> global swap() </b> + <ul> + It is assumed that this operator does not throw. Undefined behavior results if it does. + Note that std::swap() for all intrinsics and std::string does not throw. + </ul> + + + + <br/><li/> <b> operator<() </b> + <ul> + It is assumed that this operator (or std::less or any similar functor supplied by you to the library) + does not throw. Undefined behavior results if it does. + </ul> + + + + <br/><li/> <b> dlib::general_hash </b> + <ul> + It is assumed that general_hash does not throw. Undefined behavior results if it does. + This is actually noted in the general hash spec file but I'm listing it here also for good measure. + + </ul> + + + + </ul> + + + + + + <!-- **************************** THREAD SAFETY SECTION **************************** --> + + + <anchor>thread_safety</anchor> + <h1>Thread Safety</h1> + + <p> + In the library there are three kinds of objects with regards to threading: + <ul> + <li>Objects which are completely thread safe. This means that any pattern of access from + multiple threads is safe.</li> + <li>Objects which are safe to use if no threads touch the same instance, but require access + to a particular instance to be serialized via a mutex if it is shared among threads. </li> + <li>Objects which share some kind of global resource or are reference counted. This kind of object is + extremely thread unfriendly and can only be used in a threaded program with great care. </li> + </ul> + </p> + + <p> + How do you know which components/objects are thread safe and which aren't? The rule is that if + the specification for the component doesn't mention threading or thread safety then + it is ok to use as long as you serialize access to shared instances. If the component might have + some global resources or be reference counted then the specifications will tell you this. + Lastly if the component is completely thread safe then the specification will tell you this. + </p> + <p> + Also note that global functions in dlib are always thread safe. + </p> + + + </body> + + + + <!-- ************************************************************************* --> + +</doc> diff --git a/ml/dlib/docs/docs/jet.png b/ml/dlib/docs/docs/jet.png Binary files differnew file mode 100644 index 000000000..83bd2a71d --- /dev/null +++ b/ml/dlib/docs/docs/jet.png diff --git a/ml/dlib/docs/docs/kernel_1a.txt b/ml/dlib/docs/docs/kernel_1a.txt new file mode 100644 index 000000000..ff9ad371e --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1a.txt @@ -0,0 +1,78 @@ +<text> + + + The Canterbury Corpus + +file size packed size bpb corruption + +text: 152089 86995 4.576 no +play: 125179 75430 4.82062 no +html: 24603 16209 5.27058 no +Csrc: 11150 7084 5.08269 no +list: 3721 2224 4.78151 no +Excl: 1029744 440758 3.42421 no +tech: 426754 248345 4.65552 no +poem: 481861 273394 4.53897 no +fax: 513216 75036 1.16966 no +SPRC: 38240 25660 5.3682 no +man: 4227 2663 5.03998 no + +average: 4.42981 + +time: 875ms + + + + The Calgary Corpus + +file size packed size bpb corruption + +bib: 111261 72533 5.21534 no +book1: 768771 435527 4.53219 no +book2: 610856 364597 4.7749 no +geo: 102400 72600 5.67188 no +news: 377109 244377 5.18422 no +obj1: 21504 16183 6.02046 no +obj2: 246814 189902 6.15531 no +paper1: 53161 33144 4.98772 no +paper2: 82199 47398 4.613 no +pic: 513216 75036 1.16966 no +progc: 39611 25885 5.22784 no +progl: 71646 42688 4.76655 no +progp: 49379 30180 4.88953 no +trans: 93695 64603 5.51603 no + +average: 4.9089 + +time: 1.11sec + + + + The Artificial Corpus + +file size packed size bpb corruption + +a: 1 7 56 no +aaa: 100000 20 0.0016 no +alphabet: 100000 58912 4.71296 no +random: 100000 75202 6.01616 no + +average: 16.6827 + +time: 93ms + + + + The Large Corpus + +file size packed size bpb corruption + +E.coli: 4638690 1162352 2.00462 no +bible: 4047392 2194059 4.33674 no +word: 2473400 1542086 4.98774 no + +average: 3.77637 + +time: 3.766sec + +</text>
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\ No newline at end of file diff --git a/ml/dlib/docs/docs/kernel_1b.xml b/ml/dlib/docs/docs/kernel_1b.xml new file mode 100644 index 000000000..7642f0c14 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1b.xml @@ -0,0 +1,8 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>kernel_1b</title> + <body from_file="kernel_1b.txt"/> + <menu from_file="compression.xml"/> +</doc> diff --git a/ml/dlib/docs/docs/kernel_1c.txt b/ml/dlib/docs/docs/kernel_1c.txt new file mode 100644 index 000000000..0e0a78d0d --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1c.txt @@ -0,0 +1,78 @@ +<text> + + + The Canterbury Corpus + +file size packed size bpb corruption + +text: 152089 51810 2.72525 no +play: 125179 44002 2.8121 no +html: 24603 8602 2.79706 no +Csrc: 11150 3399 2.43874 no +list: 3721 1272 2.73475 no +Excl: 1029744 237165 1.84252 no +tech: 426754 147090 2.75737 no +poem: 481861 169981 2.82208 no +fax: 513216 54230 0.845336 no +SPRC: 38240 15190 3.17782 no +man: 4227 1763 3.33665 no + +average: 2.57179 + +time: 1.031sec + + + + The Calgary Corpus + +file size packed size bpb corruption + +bib: 111261 37264 2.67939 no +book1: 768771 280052 2.91428 no +book2: 610856 221616 2.90237 no +geo: 102400 62115 4.85273 no +news: 377109 155282 3.29416 no +obj1: 21504 11235 4.17969 no +obj2: 246814 97319 3.15441 no +paper1: 53161 19664 2.95916 no +paper2: 82199 29837 2.90388 no +pic: 513216 54230 0.845336 no +progc: 39611 14610 2.9507 no +progl: 71646 21637 2.41599 no +progp: 49379 14204 2.30122 no +trans: 93695 27848 2.37776 no + +average: 2.90936 + +time: 1.297sec + + + + The Artificial Corpus + +file size packed size bpb corruption + +a: 1 7 56 no +aaa: 100000 18 0.00144 no +alphabet: 100000 65 0.0052 no +random: 100000 90704 7.25632 no + +average: 15.8157 + +time: 203ms + + + + The Large Corpus + +file size packed size bpb corruption + +E.coli: 4638690 1141437 1.96855 no +bible: 4047392 1263237 2.49689 no +word: 2473400 876621 2.83536 no + +average: 2.4336 + +time: 3.391sec + +</text>
\ No newline at end of file diff --git a/ml/dlib/docs/docs/kernel_1c.xml b/ml/dlib/docs/docs/kernel_1c.xml new file mode 100644 index 000000000..1bab1d095 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1c.xml @@ -0,0 +1,8 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>kernel_1c</title> + <body from_file="kernel_1c.txt"/> + <menu from_file="compression.xml"/> +</doc> diff --git a/ml/dlib/docs/docs/kernel_1da.txt b/ml/dlib/docs/docs/kernel_1da.txt new file mode 100644 index 000000000..fde5871e0 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1da.txt @@ -0,0 +1,78 @@ +<text> + + + The Canterbury Corpus + +file size packed size bpb corruption + +text: 152089 45580 2.39754 no +play: 125179 42432 2.71176 no +html: 24603 7745 2.51839 no +Csrc: 11150 3165 2.27085 no +list: 3721 1238 2.66165 no +Excl: 1029744 194875 1.51397 no +tech: 426754 111838 2.09653 no +poem: 481861 148110 2.45897 no +fax: 513216 56075 0.874096 no +SPRC: 38240 14248 2.98075 no +man: 4227 1736 3.28555 no + +average: 2.34273 + +time: 1.812sec + + + + The Calgary Corpus + +file size packed size bpb corruption + +bib: 111261 29161 2.09676 no +book1: 768771 235667 2.4524 no +book2: 610856 165032 2.16132 no +geo: 102400 67663 5.28617 no +news: 377109 128148 2.71853 no +obj1: 21504 10750 3.99926 no +obj2: 246814 82894 2.68685 no +paper1: 53161 17398 2.61816 no +paper2: 82199 26449 2.57414 no +pic: 513216 56075 0.874096 no +progc: 39611 13188 2.6635 no +progl: 71646 17135 1.9133 no +progp: 49379 11764 1.90591 no +trans: 93695 19602 1.67369 no + +average: 2.54458 + +time: 2.36sec + + + + The Artificial Corpus + +file size packed size bpb corruption + +a: 1 6 48 no +aaa: 100000 19 0.00152 no +alphabet: 100000 66 0.00528 no +random: 100000 89652 7.17216 no + +average: 13.7947 + +time: 375ms + + + + The Large Corpus + +file size packed size bpb corruption + +E.coli: 4638690 1130363 1.94945 no +bible: 4047392 871537 1.72266 no +word: 2473400 589688 1.9073 no + +average: 1.8598 + +time: 4.484sec + +</text>
\ No newline at end of file diff --git a/ml/dlib/docs/docs/kernel_1da.xml b/ml/dlib/docs/docs/kernel_1da.xml new file mode 100644 index 000000000..428e2e4d7 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1da.xml @@ -0,0 +1,8 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>kernel_1da</title> + <body from_file="kernel_1da.txt"/> + <menu from_file="compression.xml"/> +</doc> diff --git a/ml/dlib/docs/docs/kernel_1db.txt b/ml/dlib/docs/docs/kernel_1db.txt new file mode 100644 index 000000000..648312723 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1db.txt @@ -0,0 +1,78 @@ +<text> + + + The Canterbury Corpus + +file size packed size bpb corruption + +text: 152089 47843 2.51658 no +play: 125179 45069 2.88029 no +html: 24603 7914 2.57334 no +Csrc: 11150 3279 2.35265 no +list: 3721 1281 2.7541 no +Excl: 1029744 210286 1.6337 no +tech: 426754 115826 2.17129 no +poem: 481861 157348 2.61234 no +fax: 513216 56477 0.880362 no +SPRC: 38240 14466 3.02636 no +man: 4227 1780 3.36882 no + +average: 2.43362 + +time: 2.296sec + + + + The Calgary Corpus + +file size packed size bpb corruption + +bib: 111261 29758 2.13969 no +book1: 768771 247700 2.57762 no +book2: 610856 168694 2.20928 no +geo: 102400 67817 5.2982 no +news: 377109 126675 2.68729 no +obj1: 21504 10871 4.04427 no +obj2: 246814 82948 2.6886 no +paper1: 53161 18113 2.72576 no +paper2: 82199 27700 2.6959 no +pic: 513216 56477 0.880362 no +progc: 39611 13622 2.75115 no +progl: 71646 17263 1.92759 no +progp: 49379 12032 1.94933 no +trans: 93695 19505 1.6654 no + +average: 2.5886 + +time: 2.86sec + + + + The Artificial Corpus + +file size packed size bpb corruption + +a: 1 6 48 no +aaa: 100000 20 0.0016 no +alphabet: 100000 66 0.00528 no +random: 100000 88475 7.078 no + +average: 13.7712 + +time: 531ms + + + + The Large Corpus + +file size packed size bpb corruption + +E.coli: 4638690 1130433 1.94957 no +bible: 4047392 844807 1.66983 no +word: 2473400 504129 1.63056 no + +average: 1.74999 + +time: 5.266sec + +</text>
\ No newline at end of file diff --git a/ml/dlib/docs/docs/kernel_1db.xml b/ml/dlib/docs/docs/kernel_1db.xml new file mode 100644 index 000000000..9d8a10eff --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1db.xml @@ -0,0 +1,8 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>kernel_1db</title> + <body from_file="kernel_1db.txt"/> + <menu from_file="compression.xml"/> +</doc> diff --git a/ml/dlib/docs/docs/kernel_1ea.txt b/ml/dlib/docs/docs/kernel_1ea.txt new file mode 100644 index 000000000..1697827d4 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1ea.txt @@ -0,0 +1,78 @@ +<text> + + + The Canterbury Corpus + +file size packed size bpb corruption + +text: 152089 40695 2.14059 no +play: 125179 37421 2.39152 no +html: 24603 6859 2.2303 no +Csrc: 11150 2792 2.00323 no +list: 3721 1084 2.33056 no +Excl: 1029744 156897 1.21892 no +tech: 426754 102805 1.9272 no +poem: 481861 136664 2.26894 no +fax: 513216 51109 0.796686 no +SPRC: 38240 12590 2.63389 no +man: 4227 1530 2.89567 no + +average: 2.07614 + +time: 3.062sec + + + + The Calgary Corpus + +file size packed size bpb corruption + +bib: 111261 26039 1.87228 no +book1: 768771 218772 2.27659 no +book2: 610856 151985 1.99045 no +geo: 102400 59371 4.63836 no +news: 377109 115334 2.4467 no +obj1: 21504 9832 3.65774 no +obj2: 246814 75065 2.43309 no +paper1: 53161 15263 2.29687 no +paper2: 82199 23368 2.27429 no +pic: 513216 51109 0.796686 no +progc: 39611 11549 2.33248 no +progl: 71646 15297 1.70806 no +progp: 49379 10447 1.69254 no +trans: 93695 17677 1.50932 no + +average: 2.28039 + +time: 4.172sec + + + + The Artificial Corpus + +file size packed size bpb corruption + +a: 1 7 56 no +aaa: 100000 17 0.00136 no +alphabet: 100000 65 0.0052 no +random: 100000 82599 6.60792 no + +average: 15.6536 + +time: 672ms + + + + The Large Corpus + +file size packed size bpb corruption + +E.coli: 4638690 1130095 1.94899 no +bible: 4047392 848956 1.67803 no +word: 2473400 542983 1.75623 no + +average: 1.79442 + +time: 6.516sec + +</text>
\ No newline at end of file diff --git a/ml/dlib/docs/docs/kernel_1ea.xml b/ml/dlib/docs/docs/kernel_1ea.xml new file mode 100644 index 000000000..3117a5092 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1ea.xml @@ -0,0 +1,8 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>kernel_1ea</title> + <body from_file="kernel_1ea.txt"/> + <menu from_file="compression.xml"/> +</doc> diff --git a/ml/dlib/docs/docs/kernel_1eb.txt b/ml/dlib/docs/docs/kernel_1eb.txt new file mode 100644 index 000000000..0b46d59c3 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1eb.txt @@ -0,0 +1,78 @@ +<text> + + + The Canterbury Corpus + +file size packed size bpb corruption + +text: 152089 40220 2.1156 no +play: 125179 37451 2.39344 no +html: 24603 6819 2.21729 no +Csrc: 11150 2770 1.98744 no +list: 3721 1085 2.33271 no +Excl: 1029744 158436 1.23088 no +tech: 426754 100243 1.87917 no +poem: 481861 136151 2.26042 no +fax: 513216 50374 0.785229 no +SPRC: 38240 12387 2.59142 no +man: 4227 1528 2.89189 no + +average: 2.06232 + +time: 4.875sec + + + + The Calgary Corpus + +file size packed size bpb corruption + +bib: 111261 25279 1.81764 no +book1: 768771 216389 2.25179 no +book2: 610856 146986 1.92498 no +geo: 102400 58768 4.59125 no +news: 377109 109292 2.31852 no +obj1: 21504 9819 3.6529 no +obj2: 246814 72662 2.3552 no +paper1: 53161 15128 2.27656 no +paper2: 82199 23186 2.25657 no +pic: 513216 50374 0.785229 no +progc: 39611 11434 2.30926 no +progl: 71646 14712 1.64274 no +progp: 49379 10210 1.65414 no +trans: 93695 16885 1.4417 no + +average: 2.23418 + +time: 5.421sec + + + + The Artificial Corpus + +file size packed size bpb corruption + +a: 1 7 56 no +aaa: 100000 17 0.00136 no +alphabet: 100000 64 0.00512 no +random: 100000 81881 6.55048 no + +average: 15.6392 + +time: 907ms + + + + The Large Corpus + +file size packed size bpb corruption + +E.coli: 4638690 1129161 1.94738 no +bible: 4047392 794809 1.571 no +word: 2473400 454450 1.46988 no + +average: 1.66275 + +time: 7.39sec + +</text>
\ No newline at end of file diff --git a/ml/dlib/docs/docs/kernel_1eb.xml b/ml/dlib/docs/docs/kernel_1eb.xml new file mode 100644 index 000000000..e157438d3 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1eb.xml @@ -0,0 +1,8 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>kernel_1eb</title> + <body from_file="kernel_1eb.txt"/> + <menu from_file="compression.xml"/> +</doc> diff --git a/ml/dlib/docs/docs/kernel_1ec.txt b/ml/dlib/docs/docs/kernel_1ec.txt new file mode 100644 index 000000000..488004d48 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1ec.txt @@ -0,0 +1,78 @@ +<text> + + + The Canterbury Corpus + +file size packed size bpb corruption + +text: 152089 40367 2.12334 no +play: 125179 37785 2.41478 no +html: 24603 6828 2.22022 no +Csrc: 11150 2710 1.94439 no +list: 3721 1084 2.33056 no +Excl: 1029744 162760 1.26447 no +tech: 426754 100488 1.88376 no +poem: 481861 139110 2.30955 no +fax: 513216 50276 0.783701 no +SPRC: 38240 12219 2.55628 no +man: 4227 1533 2.90135 no + +average: 2.06658 + +time: 5.484sec + + + + The Calgary Corpus + +file size packed size bpb corruption + +bib: 111261 25153 1.80858 no +book1: 768771 220128 2.2907 no +book2: 610856 146040 1.91259 no +geo: 102400 58737 4.58883 no +news: 377109 108774 2.30753 no +obj1: 21504 9823 3.65439 no +obj2: 246814 71148 2.30613 no +paper1: 53161 15116 2.27475 no +paper2: 82199 23346 2.27214 no +pic: 513216 50276 0.783701 no +progc: 39611 11351 2.29249 no +progl: 71646 14125 1.5772 no +progp: 49379 9966 1.61461 no +trans: 93695 16068 1.37194 no + +average: 2.21826 + +time: 6.188sec + + + + The Artificial Corpus + +file size packed size bpb corruption + +a: 1 7 56 no +aaa: 100000 17 0.00136 no +alphabet: 100000 65 0.0052 no +random: 100000 81869 6.54952 no + +average: 15.639 + +time: 1.109sec + + + + The Large Corpus + +file size packed size bpb corruption + +E.coli: 4638690 1160064 2.00068 no +bible: 4047392 760498 1.50319 no +word: 2473400 422419 1.36628 no + +average: 1.62338 + +time: 11.203sec + +</text>
\ No newline at end of file diff --git a/ml/dlib/docs/docs/kernel_1ec.xml b/ml/dlib/docs/docs/kernel_1ec.xml new file mode 100644 index 000000000..918273865 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_1ec.xml @@ -0,0 +1,8 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>kernel_1ec</title> + <body from_file="kernel_1ec.txt"/> + <menu from_file="compression.xml"/> +</doc> diff --git a/ml/dlib/docs/docs/kernel_2a.txt b/ml/dlib/docs/docs/kernel_2a.txt new file mode 100644 index 000000000..3caff6866 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_2a.txt @@ -0,0 +1,78 @@ +<text> + + + The Canterbury Corpus + +file size packed size bpb corruption + +text: 152089 55655 2.9275 no +play: 125179 49648 3.17293 no +html: 24603 8345 2.71349 no +Csrc: 11150 3514 2.52126 no +list: 3721 1379 2.96479 no +Excl: 1029744 72617 0.564156 no +tech: 426754 145403 2.72575 no +poem: 481861 196109 3.25586 no +fax: 513216 49740 0.775346 no +SPRC: 38240 13253 2.77259 no +man: 4227 1857 3.51455 no + +average: 2.53711 + +time: 4.641sec + + + + The Calgary Corpus + +file size packed size bpb corruption + +bib: 111261 35687 2.566 no +book1: 768771 313140 3.2586 no +book2: 610856 210661 2.7589 no +geo: 102400 61070 4.77109 no +news: 377109 143307 3.04012 no +obj1: 21504 11004 4.09375 no +obj2: 246814 83289 2.69965 no +paper1: 53161 19433 2.9244 no +paper2: 82199 30671 2.98505 no +pic: 513216 49740 0.775346 no +progc: 39611 14142 2.85618 no +progl: 71646 17196 1.92011 no +progp: 49379 12045 1.95144 no +trans: 93695 19849 1.69478 no + +average: 2.73539 + +time: 4.89sec + + + + The Artificial Corpus + +file size packed size bpb corruption + +a: 1 6 48 no +aaa: 100000 58 0.00464 no +alphabet: 100000 87 0.00696 no +random: 100000 77815 6.2252 no + +average: 13.5592 + +time: 235ms + + + + The Large Corpus + +file size packed size bpb corruption + +E.coli: 4638690 1349400 2.32721 no +bible: 4047392 1206327 2.3844 no +word: 2473400 703195 2.27442 no + +average: 2.32868 + +time: 8.75sec + +</text>
\ No newline at end of file diff --git a/ml/dlib/docs/docs/kernel_2a.xml b/ml/dlib/docs/docs/kernel_2a.xml new file mode 100644 index 000000000..4b8c1182a --- /dev/null +++ b/ml/dlib/docs/docs/kernel_2a.xml @@ -0,0 +1,8 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>kernel_2a</title> + <body from_file="kernel_2a.txt"/> + <menu from_file="compression.xml"/> +</doc> diff --git a/ml/dlib/docs/docs/kernel_3a.txt b/ml/dlib/docs/docs/kernel_3a.txt new file mode 100644 index 000000000..927c4af7c --- /dev/null +++ b/ml/dlib/docs/docs/kernel_3a.txt @@ -0,0 +1,78 @@ +<text> + + + The Canterbury Corpus + +file size packed size bpb corruption + +text: 152089 118620 6.2395 no +play: 125179 103761 6.63121 no +html: 24603 14067 4.57408 no +Csrc: 11150 5805 4.16502 no +list: 3721 2142 4.60521 no +Excl: 1029744 390978 3.03748 no +tech: 426754 310347 5.81782 no +poem: 481861 435150 7.22449 no +fax: 513216 116298 1.81285 no +SPRC: 38240 23076 4.82762 no +man: 4227 3177 6.01278 no + +average: 4.99528 + +time: 547ms + + + + The Calgary Corpus + +file size packed size bpb corruption + +bib: 111261 68949 4.95764 no +book1: 768771 683415 7.11177 no +book2: 610856 435186 5.69936 no +geo: 102400 105111 8.2118 no +news: 377109 266382 5.65103 no +obj1: 21504 15714 5.84598 no +obj2: 246814 139671 4.52717 no +paper1: 53161 37476 5.63962 no +paper2: 82199 63198 6.15073 no +pic: 513216 116298 1.81285 no +progc: 39611 25398 5.12948 no +progl: 71646 31905 3.56252 no +progp: 49379 20943 3.39302 no +trans: 93695 34056 2.90782 no + +average: 5.04291 + +time: 610ms + + + + The Artificial Corpus + +file size packed size bpb corruption + +a: 1 9 72 no +aaa: 100000 3771 0.30168 no +alphabet: 100000 486 0.03888 no +random: 100000 112491 8.99928 no + +average: 20.335 + +time: 47ms + + + + The Large Corpus + +file size packed size bpb corruption + +E.coli: 4638690 4752396 8.1961 no +bible: 4047392 2649303 5.23656 no +word: 2473400 1452177 4.69694 no + +average: 6.0432 + +time: 2.5sec + +</text>
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\ No newline at end of file diff --git a/ml/dlib/docs/docs/kernel_3b.xml b/ml/dlib/docs/docs/kernel_3b.xml new file mode 100644 index 000000000..9571ab419 --- /dev/null +++ b/ml/dlib/docs/docs/kernel_3b.xml @@ -0,0 +1,8 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>kernel_3b</title> + <body from_file="kernel_3b.txt"/> + <menu from_file="compression.xml"/> +</doc> diff --git a/ml/dlib/docs/docs/license.xml b/ml/dlib/docs/docs/license.xml new file mode 100644 index 000000000..c47ee788b --- /dev/null +++ b/ml/dlib/docs/docs/license.xml @@ -0,0 +1,36 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>License</title> + <body><pre> + + +Boost Software License - Version 1.0 - August 17th, 2003 + +Permission is hereby granted, free of charge, to any person or organization +obtaining a copy of the software and accompanying documentation covered by +this license (the "Software") to use, reproduce, display, distribute, +execute, and transmit the Software, and to prepare derivative works of the +Software, and to permit third-parties to whom the Software is furnished to +do so, all subject to the following: + +The copyright notices in the Software and this entire statement, including +the above license grant, this restriction and the following disclaimer, +must be included in all copies of the Software, in whole or in part, and +all derivative works of the Software, unless such copies or derivative +works are solely in the form of machine-executable object code generated by +a source language processor. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT +SHALL THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE +FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE, +ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +DEALINGS IN THE SOFTWARE. + + + + </pre></body> +</doc> diff --git a/ml/dlib/docs/docs/linear_algebra.xml b/ml/dlib/docs/docs/linear_algebra.xml new file mode 100644 index 000000000..4d228376b --- /dev/null +++ b/ml/dlib/docs/docs/linear_algebra.xml @@ -0,0 +1,1382 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Linear Algebra</title> + + <!-- ************************************************************************* --> + + <body> + <p> + This page documents the core linear algebra tools included in dlib. + In particular, the three most important objects in this part of the library are the + <a href="#matrix">matrix</a>, <a href="#vector">vector</a>, and + <a href="#rectangle">rectangle</a>. All the other tools on this page + are functions for manipulating these three objects. A good example and introduction + can be found in + the <a href="matrix_ex.cpp.html">matrix example program</a>. + </p> + + <p> + Most of the linear algebra tools deal with dense matrices. However, there is also + a limited amount of support for working with sparse matrices and vectors. + In particular, the dlib tools represent sparse vectors using the containers + in the C++ STL. For details, see the notes at the top of + <a href="dlib/svm/sparse_vector_abstract.h.html#sparse_vectors">dlib/svm/sparse_vector_abstract.h</a>. + </p> + <p> + Finally, note that all the dense matrix tools can be obtained by #including <tt><dlib/matrix.h></tt> + while the sparse vector tools can be obtained by #including <tt><dlib/sparse_vector.h></tt>. The + geometry tools can be used by #including <tt><dlib/geometry.h></tt>. + </p> + + </body> + + <!-- ************************************************************************* --> + + <menu width="150"> + <top> + + <section> + <name>Dense Matrix Tools</name> + <item>matrix</item> + <item nolink="true"> + <name>Basic Math Operators</name> + <sub> + <item> + <name>exp</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#exp</link> + </item> + <item> + <name>log10</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#log10</link> + </item> + <item> + <name>log</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#log</link> + </item> + <item> + <name>sqrt</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#sqrt</link> + </item> + <item> + <name>pow</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#pow</link> + </item> + <item> + <name>squared</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#squared</link> + </item> + <item> + <name>cubed</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#cubed</link> + </item> + <item> + <name>sigmoid</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#sigmoid</link> + </item> + <item> + <name>abs</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#abs</link> + </item> + <item> + <name>reciprocal</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#reciprocal</link> + </item> + <item> + <name>reciprocal_max</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#reciprocal_max</link> + </item> + <item> + <name>normalize</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#normalize</link> + </item> + <item> + <name>round</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#round</link> + </item> + <item> + <name>ceil</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#ceil</link> + </item> + <item> + <name>floor</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#floor</link> + </item> + <item> + <name>round_zeros</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#round_zeros</link> + </item> + <item> + <name>conj</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#conj</link> + </item> + <item> + <name>norm</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#norm</link> + </item> + <item> + <name>imag</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#imag</link> + </item> + <item> + <name>real</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#real</link> + </item> + <item> + <name>complex_matrix</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#complex_matrix</link> + </item> + <item> + <name>sin</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#sin</link> + </item> + <item> + <name>cos</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#cos</link> + </item> + <item> + <name>tan</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#tan</link> + </item> + <item> + <name>asin</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#asin</link> + </item> + <item> + <name>acos</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#acos</link> + </item> + <item> + <name>atan</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#atan</link> + </item> + <item> + <name>sinh</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#sinh</link> + </item> + <item> + <name>cosh</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#cosh</link> + </item> + <item> + <name>tanh</name> + <link>dlib/matrix/matrix_math_functions_abstract.h.html#tanh</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>Linear Algebra</name> + <sub> + <item> + <name>inv</name> + <link>dlib/matrix/matrix_la_abstract.h.html#inv</link> + </item> + <item> + <name>pinv</name> + <link>dlib/matrix/matrix_la_abstract.h.html#pinv</link> + </item> + <item> + <name>svd</name> + <link>dlib/matrix/matrix_la_abstract.h.html#svd</link> + </item> + <item> + <name>svd2</name> + <link>dlib/matrix/matrix_la_abstract.h.html#svd2</link> + </item> + <item> + <name>svd3</name> + <link>dlib/matrix/matrix_la_abstract.h.html#svd3</link> + </item> + <item> + <name>svd_fast</name> + <link>dlib/matrix/matrix_la_abstract.h.html#svd_fast</link> + </item> + <item> + <name>orthogonalize</name> + <link>dlib/matrix/matrix_la_abstract.h.html#orthogonalize</link> + </item> + <item> + <name>det</name> + <link>dlib/matrix/matrix_la_abstract.h.html#det</link> + </item> + <item> + <name>trace</name> + <link>dlib/matrix/matrix_la_abstract.h.html#trace</link> + </item> + <item> + <name>dot</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#dot</link> + </item> + <item> + <name>length</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#length</link> + </item> + <item> + <name>length_squared</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#length_squared</link> + </item> + <item> + <name>trans</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#trans</link> + </item> + <item> + <name>diag</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#diag</link> + </item> + <item> + <name>diagm</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#diagm</link> + </item> + <item> + <name>lowerm</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#lowerm</link> + </item> + <item> + <name>upperm</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#upperm</link> + </item> + <item> + <name>chol</name> + <link>dlib/matrix/matrix_la_abstract.h.html#chol</link> + </item> + <item> + <name>inv_lower_triangular</name> + <link>dlib/matrix/matrix_la_abstract.h.html#inv_lower_triangular</link> + </item> + <item> + <name>inv_upper_triangular</name> + <link>dlib/matrix/matrix_la_abstract.h.html#inv_upper_triangular</link> + </item> + <item> + <name>lu_decomposition</name> + <link>dlib/matrix/matrix_la_abstract.h.html#lu_decomposition</link> + </item> + <item> + <name>qr_decomposition</name> + <link>dlib/matrix/matrix_la_abstract.h.html#qr_decomposition</link> + </item> + <item> + <name>cholesky_decomposition</name> + <link>dlib/matrix/matrix_la_abstract.h.html#cholesky_decomposition</link> + </item> + <item> + <name>eigenvalue_decomposition</name> + <link>dlib/matrix/matrix_la_abstract.h.html#eigenvalue_decomposition</link> + </item> + <item> + <name>real_eigenvalues</name> + <link>dlib/matrix/matrix_la_abstract.h.html#real_eigenvalues</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>Conversions</name> + <sub> + <item>mat</item> + <item> + <name>matrix_cast</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#matrix_cast</link> + </item> + <item> + <name>pixel_to_vector</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#pixel_to_vector</link> + </item> + <item> + <name>vector_to_pixel</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#vector_to_pixel</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>Sub Matrix Expressions</name> + <sub> + <item> + <name>range</name> + <link>dlib/matrix/matrix_subexp_abstract.h.html#range</link> + </item> + <item> + <name>subm</name> + <link>dlib/matrix/matrix_subexp_abstract.h.html#subm</link> + </item> + <item> + <name>subm_clipped</name> + <link>dlib/matrix/matrix_subexp_abstract.h.html#subm_clipped</link> + </item> + <item> + <name>rowm</name> + <link>dlib/matrix/matrix_subexp_abstract.h.html#rowm</link> + </item> + <item> + <name>colm</name> + <link>dlib/matrix/matrix_subexp_abstract.h.html#colm</link> + </item> + <item> + <name>set_ptrm</name> + <link>dlib/matrix/matrix_subexp_abstract.h.html#set_ptrm</link> + </item> + <item> + <name>set_subm</name> + <link>dlib/matrix/matrix_subexp_abstract.h.html#set_subm</link> + </item> + <item> + <name>set_colm</name> + <link>dlib/matrix/matrix_subexp_abstract.h.html#set_colm</link> + </item> + <item> + <name>set_rowm</name> + <link>dlib/matrix/matrix_subexp_abstract.h.html#set_rowm</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>Statistics</name> + <sub> + <item> + <name>sum</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#sum</link> + </item> + <item> + <name>sum_rows</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#sum_rows</link> + </item> + <item> + <name>sum_cols</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#sum_cols</link> + </item> + <item> + <name>prod</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#prod</link> + </item> + <item> + <name>mean</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#mean</link> + </item> + <item> + <name>max</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#max</link> + </item> + <item> + <name>min</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#min</link> + </item> + 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<link>dlib/matrix/matrix_utilities_abstract.h.html#covariance</link> + </item> + <item> + <name>randm</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#randm</link> + </item> + <item> + <name>gaussian_randm</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#gaussian_randm</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>Other Utilities</name> + <sub> + <item> + <name>csv</name> + <link>dlib/matrix/matrix_abstract.h.html#csv</link> + </item> + <item> + <name>fft</name> + <link>dlib/matrix/matrix_fft_abstract.h.html#fft</link> + </item> + <item> + <name>ifft</name> + <link>dlib/matrix/matrix_fft_abstract.h.html#ifft</link> + </item> + <item> + <name>is_col_vector</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#is_col_vector</link> + </item> + <item> + <name>is_row_vector</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#is_row_vector</link> + </item> + <item> + <name>is_vector</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#is_vector</link> + </item> + <item> + <name>is_finite</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#is_finite</link> + </item> + <item> + <name>const_temp_matrix</name> + <link>dlib/matrix/matrix_abstract.h.html#const_temp_matrix</link> + </item> + <item> + <name>symmetric_matrix_cache</name> + <link>dlib/matrix/symmetric_matrix_cache_abstract.h.html</link> + </item> + <item> + <name>conv</name> + <link>dlib/matrix/matrix_conv_abstract.h.html#conv</link> + </item> + <item> + <name>conv_same</name> + <link>dlib/matrix/matrix_conv_abstract.h.html#conv_same</link> + </item> + <item> + <name>conv_valid</name> + <link>dlib/matrix/matrix_conv_abstract.h.html#conv_valid</link> + </item> + <item> + <name>xcorr_fft</name> + <link>dlib/matrix/matrix_conv_abstract.h.html#xcorr_fft</link> + </item> + <item> + <name>xcorr</name> + <link>dlib/matrix/matrix_conv_abstract.h.html#xcorr</link> + </item> + <item> + <name>xcorr_same</name> + <link>dlib/matrix/matrix_conv_abstract.h.html#xcorr_same</link> + </item> + <item> + <name>xcorr_valid</name> + <link>dlib/matrix/matrix_conv_abstract.h.html#xcorr_valid</link> + </item> + <item> + <name>flip</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#flip</link> + </item> + <item> + <name>flipud</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#flipud</link> + </item> + <item> + <name>fliplr</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#fliplr</link> + </item> + <item> + <name>make_symmetric</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#make_symmetric</link> + </item> + <item> + <name>ones_matrix</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#ones_matrix</link> + </item> + <item> + <name>zeros_matrix</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#zeros_matrix</link> + </item> + <item> + <name>uniform_matrix</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#uniform_matrix</link> + </item> + <item> + <name>identity_matrix</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#identity_matrix</link> + </item> + <item> + <name>rotate</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#rotate</link> + </item> + <item> + <name>reshape_to_column_vector</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#reshape_to_column_vector</link> + </item> + <item> + <name>reshape</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#reshape</link> + </item> + <item> + <name>removerc</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#removerc</link> + </item> + <item> + <name>remove_row</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#remove_row</link> + </item> + <item> + <name>remove_col</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#remove_col</link> + </item> + <item> + <name>set_all_elements</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#set_all_elements</link> + </item> + <item> + <name>hash</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#hash</link> + </item> + <item> + <name>tmp</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#tmp</link> + </item> + <item> + <name>equal</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#equal</link> + </item> + <item> + <name>pointwise_multiply</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#pointwise_multiply</link> + </item> + <item> + <name>join_rows</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#join_rows</link> + </item> + <item> + <name>join_cols</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#join_cols</link> + </item> + <item> + <name>tensor_product</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#tensor_product</link> + </item> + <item> + <name>scale_columns</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#scale_columns</link> + </item> + <item> + <name>scale_rows</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#scale_rows</link> + </item> + <item> + <name>sort_columns</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#sort_columns</link> + </item> + <item> + <name>rsort_columns</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#rsort_columns</link> + </item> + + <item> + <name>clamp</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#clamp</link> + </item> + <item> + <name>lowerbound</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#lowerbound</link> + </item> + <item> + <name>upperbound</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#upperbound</link> + </item> + <item> + <name>linspace</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#linspace</link> + </item> + <item> + <name>linpiece</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#linpiece</link> + </item> + <item> + <name>logspace</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#logspace</link> + </item> + <item> + <name>cartesian_product</name> + <link>dlib/matrix/matrix_utilities_abstract.h.html#cartesian_product</link> + </item> + </sub> + </item> + </section> + + <section> + <name>2D/3D Geometry</name> + <item>border_enumerator</item> + <item>rectangle</item> + <item>drectangle</item> + <item>vector</item> + <item>point</item> + <item>rotate_point</item> + <item>rotate_around_x</item> + <item>rotate_around_y</item> + <item>rotate_around_z</item> + <item>point_rotator</item> + <item>point_transform</item> + <item>camera_transform</item> + <item>point_transform_affine</item> + <item>rectangle_transform</item> + <item>point_transform_affine3d</item> + <item>find_affine_transform</item> + <item>find_similarity_transform</item> + <item>point_transform_projective</item> + <item>find_projective_transform</item> + <item>rotation_matrix</item> + <item>get_rect</item> + <item>centered_rect</item> + <item>set_aspect_ratio</item> + <item>set_rect_area</item> + <item>center</item> + <item>dcenter</item> + <item>shrink_rect</item> + <item>grow_rect</item> + <item>translate_rect</item> + <item>translate_point</item> + <item>resize_rect</item> + <item>resize_rect_width</item> + <item>resize_rect_height</item> + <item>move_rect</item> + <item>nearest_point</item> + <item>nearest_rect</item> + <item>distance_to_rect_edge</item> + <item>clip_line_to_rectangle</item> + <item>distance_to_line</item> + </section> + + + <section> + <name>Sparse Vector Tools</name> + <item>sparse_to_dense</item> + + <item> + <name>dot</name> + <link>dlib/svm/sparse_vector_abstract.h.html#dot</link> + </item> + <item> + <name>distance_squared</name> + <link>dlib/svm/sparse_vector_abstract.h.html#distance_squared</link> + </item> + <item> + <name>distance</name> + <link>dlib/svm/sparse_vector_abstract.h.html#distance</link> + </item> + <item> + <name>assign</name> + <link>dlib/svm/sparse_vector_abstract.h.html#assign</link> + </item> + <item> + <name>length_squared</name> + <link>dlib/svm/sparse_vector_abstract.h.html#length_squared</link> + </item> + <item> + <name>length</name> + <link>dlib/svm/sparse_vector_abstract.h.html#length</link> + </item> + <item> + <name>scale_by</name> + <link>dlib/svm/sparse_vector_abstract.h.html#scale_by</link> + </item> + <item> + <name>add</name> + <link>dlib/svm/sparse_vector_abstract.h.html#add</link> + </item> + <item> + <name>subtract</name> + <link>dlib/svm/sparse_vector_abstract.h.html#subtract</link> + </item> + <item> + <name>max_index_plus_one</name> + <link>dlib/svm/sparse_vector_abstract.h.html#max_index_plus_one</link> + </item> + <item> + <name>add_to</name> + <link>dlib/svm/sparse_vector_abstract.h.html#add_to</link> + </item> + <item> + <name>subtract_from</name> + <link>dlib/svm/sparse_vector_abstract.h.html#subtract_from</link> + </item> + <item> + <name>min</name> + <link>dlib/svm/sparse_vector_abstract.h.html#min</link> + </item> + <item> + <name>max</name> + <link>dlib/svm/sparse_vector_abstract.h.html#max</link> + </item> + <item> + <name>make_sparse_vector</name> + <link>dlib/svm/sparse_vector_abstract.h.html#make_sparse_vector</link> + </item> + <item> + <name>make_sparse_vector_inplace</name> + <link>dlib/svm/sparse_vector_abstract.h.html#make_sparse_vector_inplace</link> + </item> + <item> + <name>sparse_matrix_vector_multiply</name> + <link>dlib/svm/sparse_vector_abstract.h.html#sparse_matrix_vector_multiply</link> + </item> + </section> + + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + <!-- ************************************************************************* --> + + <component> + <name>sparse_to_dense</name> + <file>dlib/sparse_vector.h</file> + <spec_file link="true">dlib/svm/sparse_vector_abstract.h</spec_file> + <description> + This is a set of simple functions that take + <a href="dlib/svm/sparse_vector_abstract.h.html#sparse_vectors">sparse vectors</a> + and converts them into equivalent dense vectors. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>mat</name> + <file>dlib/matrix.h</file> + <spec_file link="true">dlib/matrix/matrix_mat_abstract.h</spec_file> + <description> + This is a set of simple functions that take objects like std::vector or + <a href="containers.html#array2d">array2d</a> and convert them into + <a href="#matrix">matrix</a> objects. Note that the conversion is + done using template expressions so there is no runtime cost associated + with calling mat(). + </description> + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>matrix</name> + <file>dlib/matrix.h</file> + <spec_file link="true">dlib/matrix/matrix_abstract.h</spec_file> + <description> + This is a 2D matrix object that enables you to write code that deals with + matrices using a simple syntax similar to what can be written in MATLAB. It is implemented using + the <a href="matrix_expressions_ex.cpp.html">expression templates</a> technique which allows it to eliminate the + temporary matrix objects that would normally be returned from expressions + such as M = A+B+C+D; Normally each invocation of the + operator would + construct and return a temporary matrix object but using this technique + we can avoid creating all these temporary objects and receive a large speed boost. + <p> + This object is also capable of using BLAS and LAPACK libraries such as ATLAS or the Intel + MKL when available. To enable BLAS support all you have to do is #define + DLIB_USE_BLAS and then make sure you link your application with your + BLAS library. Similarly, to enable LAPACK support just #define DLIB_USE_LAPACK and + link to your LAPACK library. Finally, the use of BLAS and LAPACK is transparent to + the user, that is, the dlib matrix object uses BLAS and LAPACK internally to optimize + various operations while still allowing the user to use a simple MATLAB like syntax. + </p> + <p> + Note that the cmake files that come with dlib will automatically link with ATLAS or the Intel + MKL if they are installed. So using cmake makes this easy, but by no means are you required + to use cmake or the dlib cmake files. + </p> + <p> + It is also worth noting that all the preconditions of every function + related to the matrix object are checked by <a href="metaprogramming.html#DLIB_ASSERT">DLIB_ASSERT</a> + statements and thus can be enabled by #defining ENABLE_ASSERTS or DEBUG. Doing + this will cause your program to run slower but should catch any usage errors. + </p> + </description> + + <examples> + <example>matrix_ex.cpp.html</example> + <example>matrix_expressions_ex.cpp.html</example> + </examples> + + <extensions> + <extension> + <name>matrix_utilities</name> + <spec_file>dlib/matrix/matrix_utilities_abstract.h</spec_file> + <description> + This extension contains miscellaneous utility functions + for manipulating matrix objects. + </description> + </extension> + + <extension> + <name>matrix_la</name> + <spec_file>dlib/matrix/matrix_la_abstract.h</spec_file> + <description> + This extension contains linear algebra functions to calculate + QR, LU, Cholesky, eigenvalue, and singular value decompositions. It also + contains a few other miscellaneous functions that solve systems of + equations or calculate values derived from the above decompositions. + </description> + </extension> + + <extension> + <name>matrix_math_functions</name> + <spec_file>dlib/matrix/matrix_math_functions_abstract.h</spec_file> + <description>This extension contains mathematical functions that operate on each + element of a matrix independently. + </description> + </extension> + + <extension> + <name>matrix_sub_expressions</name> + <spec_file>dlib/matrix/matrix_subexp_abstract.h</spec_file> + <description> + This extension contains a number of functions for dealing with sub-matrices. + </description> + </extension> + </extensions> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>border_enumerator</name> + <file>dlib/geometry.h</file> + <spec_file>dlib/geometry/border_enumerator_abstract.h</spec_file> + <description> + This object is an <a href="containers.html#enumerable">enumerator</a> + over the border <a href="#point">points</a> of a + <a href="#rectangle">rectangle</a>. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>nearest_point</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a <a href="#rectangle">rectangle</a> and a + <a href="#point">point</a> and returns the point in the given + rectangle that is nearest to the given point. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>nearest_rect</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a std::vector<<a href="#rectangle">rectangle</a>> and a + <a href="#point">point</a> and identifies the rectangle that is nearest to the point. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>distance_to_rect_edge</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a <a href="#rectangle">rectangle</a> and a + <a href="#point">point</a> and returns the Manhattan distance between + the rectangle's edge and the point. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>distance_to_line</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a line and a <a href="#point">point</a> + and returns the distance from the line to the point. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>clip_line_to_rectangle</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a <a href="#rectangle">rectangle</a> and a line segment and + returns the part of the line segment that is entirely contained within the + rectangle. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>move_rect</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a <a href="#rectangle">rectangle</a> and moves + it so that it's upper left corner occupies the given location. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>resize_rect_height</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a <a href="#rectangle">rectangle</a> and + returns a new rectangle with the given height but otherwise with the + same edge points as the original rectangle. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>resize_rect_width</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a <a href="#rectangle">rectangle</a> and + returns a new rectangle with the given width but otherwise with the + same edge points as the original rectangle. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>resize_rect</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a <a href="#rectangle">rectangle</a> and + returns a new rectangle with the given size but with the same upper + left corner as the original rectangle. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>translate_rect</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a <a href="#rectangle">rectangle</a> and moves + it by a given number of units along the x and y axis relative to + where it was before the move. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>center</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + Returns the center point of a <a href="#rectangle">rectangle</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>dcenter</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + Returns the center point of a <a href="#rectangle">rectangle</a>. This + is a version of <a href="#center">center()</a> which returns a double version + of the point rather than one which uses integers to represent the + result. Therefore, it is slightly more accurate. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>centered_rect</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + There are various overloads of this function but the basic idea is + that it returns a <a href="#rectangle">rectangle</a> with a given + width and height and centered about a given point. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>set_aspect_ratio</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function reshapes a <a href="#rectangle">rectangle</a> so that + it has a user specified aspect ratio. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>set_rect_area</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function reshapes a <a href="#rectangle">rectangle</a> so that + it has a user specified area. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>shrink_rect</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a <a href="#rectangle">rectangle</a> object, + shrinks its borders by a given amount, and returns the result. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>grow_rect</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This function takes a <a href="#rectangle">rectangle</a> object, + grows its borders by a given amount, and returns the result. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rotate_point</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is a function that rotates a 2D <a href="#vector">vector</a> or + <a href="#point">point</a> object about a given point. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>point_rotator</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is an object that rotates a 2D <a href="#vector">vector</a> or + <a href="#point">point</a> object about the origin. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>point_transform</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is an object that rotates a 2D <a href="#vector">vector</a> or + <a href="#point">point</a> object about the origin and then adds a + displacement vector. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>point_transform_affine</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is an object that applies a 2D affine transformation to a <a href="#vector">vector</a> or + <a href="#point">point</a>. Note that you can use <a href="#find_affine_transform">find_affine_transform</a> + to easily create affine transforms from sets of point correspondences. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rectangle_transform</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is an object that applies a <a href="#point_transform_affine">2D affine transformation</a> + to a <a href="#rectangle">rectangle</a> or <a href="#drectangle">drectangle</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>camera_transform</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This object maps 3D <a href="#vector">points</a> into the image plane of a camera. Therefore, + you can use it to compute 2D representations of 3D data from the point of + view of some camera in 3D space. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>point_transform_affine3d</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is an object that applies a 3D affine transformation to a <a href="#vector">vector</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_affine_transform</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is a routine that takes in two sets of points and finds the + best <a href="#point_transform_affine">affine transformation</a> + that maps between them. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_similarity_transform</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is a routine that takes in two sets of points and finds the + best <a href="#point_transform_affine">affine transformation</a> + that maps between them. However, it considers only rotations, translations, + and uniform scale changes in finding the mapping. Therefore, it finds + a similarity transformation rather than a general affine transform. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>point_transform_projective</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is an object that applies a projective transformation to a <a href="#vector">vector</a> or + <a href="#point">point</a>. Note that you can use <a href="#find_projective_transform">find_projective_transform</a> + to easily create projective transforms from sets of point correspondences. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_projective_transform</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is a routine that takes in two sets of points and finds the + best <a href="#point_transform_projective">projective transformation</a> + that maps between them. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rotation_matrix</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is a method for creating 2D rotation matrices. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rotate_around_x</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is a method for creating a <a href="#point_transform_affine3d">point_transform_affine3d</a> + that rotates points around the x-axis. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rotate_around_y</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is a method for creating a <a href="#point_transform_affine3d">point_transform_affine3d</a> + that rotates points around the y-axis. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rotate_around_z</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is a method for creating a <a href="#point_transform_affine3d">point_transform_affine3d</a> + that rotates points around the z-axis. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>translate_point</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/point_transforms_abstract.h</spec_file> + <description> + This is a method for creating a <a href="#point_transform_affine3d">point_transform_affine3d</a> + that just translates points. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>get_rect</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This is a simple template function that returns a rectangle + representing the size of a 2D container (e.g. <a href="containers.html#matrix">matrix</a> or + <a href="containers.html#array2d">array2d</a>). + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>drectangle</name> + <file>dlib/geometry.h</file> + <spec_file>dlib/geometry/drectangle_abstract.h</spec_file> + <description> + This object represents a rectangular region inside a Cartesian + coordinate system. It is very similar to the <a href="#rectangle">rectangle</a> + except that it uses double variables instead of longs to represent the location of the rectangle. + Therefore, it can position rectangles with sub-pixel accuracy. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rectangle</name> + <file>dlib/geometry.h</file> + <spec_file>dlib/geometry/rectangle_abstract.h</spec_file> + <description> + This object represents a rectangular region inside a Cartesian + coordinate system. It allows you to easily represent and manipulate + rectangles. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>vector</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/vector_abstract.h</spec_file> + <description> + This object represents a two or three dimensional vector. + + <p>If you + want to work with general N-dimensional column vectors then you + should the <a href="#matrix">matrix</a> object. In particular, you + should usually use a matrix with this type: + <tt>dlib::matrix<double,0,1></tt>.</p> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>point</name> + <file>dlib/geometry.h</file> + <spec_file link="true">dlib/geometry/vector_abstract.h</spec_file> + <description> + This object represents a point inside a Cartesian coordinate system. + Note that a point is simply a typedef for a <a href="#vector">vector</a> + that is 2D and uses longs to represent coordinate values. + </description> + </component> + + <!-- ************************************************************************* --> + + + </components> + + <!-- ************************************************************************* --> + + +</doc> + diff --git a/ml/dlib/docs/docs/main_menu.xml b/ml/dlib/docs/docs/main_menu.xml new file mode 100644 index 000000000..bbd91f975 --- /dev/null +++ b/ml/dlib/docs/docs/main_menu.xml @@ -0,0 +1,665 @@ +<?html version="1.0" encoding="ISO-8859-1"?> + +<doc> + <menu width="145"> + <top> + <section> + <name>The Library</name> + <item> + <name>Algorithms</name> + <link>algorithms.html</link> + <chm_sub>algorithms.xml</chm_sub> + </item> + <item> + <name>Graph Tools</name> + <link>graph_tools.html</link> + <chm_sub>graph_tools.xml</chm_sub> + </item> + <item> + <name>Optimization</name> + <link>optimization.html</link> + <chm_sub>optimization.xml</chm_sub> + </item> + <item> + <name>Machine Learning</name> + <link>ml.html</link> + <chm_sub>ml.xml</chm_sub> + </item> + <item> + <name>Linear Algebra</name> + <link>linear_algebra.html</link> + <chm_sub>linear_algebra.xml</chm_sub> + </item> + <item> + <name>Bayesian Nets</name> + <link>bayes.html</link> + <chm_sub>bayes.xml</chm_sub> + </item> + <item> + <name>Containers</name> + <link>containers.html</link> + <chm_sub>containers.xml</chm_sub> + </item> + <item> + <name>API Wrappers</name> + <link>api.html</link> + <chm_sub>api.xml</chm_sub> + </item> + <item> + <name>Networking</name> + <link>network.html</link> + <chm_sub>network.xml</chm_sub> + </item> + <item> + <name>Compression</name> + <link>compression.html</link> + <chm_sub>compression.xml</chm_sub> + </item> + <item> + <name>Parsing</name> + <link>parsing.html</link> + <chm_sub>parsing.xml</chm_sub> + </item> + <item> + <name>Image Processing</name> + <link>imaging.html</link> + <chm_sub>imaging.xml</chm_sub> + </item> + <item> + <name>Metaprogramming</name> + <link>metaprogramming.html</link> + <chm_sub>metaprogramming.xml</chm_sub> + </item> + <item> + <name>Miscellaneous</name> + <link>other.html</link> + <chm_sub>other.xml</chm_sub> + </item> + </section> + + + <section> + <name>Help/Info</name> + <chm> + <item> + <name>Home</name> + <link>index.html</link> + </item> + </chm> + <web> + <item> + <name>Home</name> + <link>http://dlib.net</link> + </item> + </web> + <item> + <name>Dlib Blog</name> + <link>http://blog.dlib.net</link> + </item> + <!-- + <item> + <name>Forums</name> + <link>https://sourceforge.net/p/dclib/discussion</link> + </item> + --> + <item> + <name>Who uses dlib?</name> + <link>http://sourceforge.net/p/dclib/wiki/Known_users/</link> + </item> + + <item> + <name>Introduction</name> + <link>intro.html</link> + <chm_sub>intro.xml</chm_sub> + </item> + <item> + <name>Python API</name> + <link>python/index.html</link> + </item> + <item> + <name>How to compile</name> + <link>compile.html</link> + </item> + <item> + <name>Suggested Books</name> + <link>books.html</link> + </item> + <item> + <name>License</name> + <link>license.html</link> + </item> + <item> + <name>How to contribute</name> + <link>howto_contribute.html</link> + </item> + <item> + <name>FAQ</name> + <link>faq.html</link> + </item> + <item> + <name>Index</name> + <link>term_index.html</link> + </item> + <item nolink="true"> + <name>Examples: Python</name> + <sub> + <item> + <name>Global Optimization</name> + <link>global_optimization.py.html</link> + </item> + <item> + <name>Face Clustering</name> + <link>face_clustering.py.html</link> + </item> + <item> + <name>Face Jittering/Augmentation</name> + <link>face_jitter.py.html</link> + </item> + <item> + <name>Face Alignment</name> + <link>face_alignment.py.html</link> + </item> + <item> + <name>Video Object Tracking</name> + <link>correlation_tracker.py.html</link> + </item> + <item> + <name>Binary Classification</name> + <link>svm_binary_classifier.py.html</link> + </item> + <item> + <name>Face Landmark Detection</name> + <link>face_landmark_detection.py.html</link> + </item> + <item> + <name>Face Recognition</name> + <link>face_recognition.py.html</link> + </item> + <item> + <name>Find Candidate Object Locations</name> + <link>find_candidate_object_locations.py.html</link> + </item> + <item> + <name>Train Shape Predictor</name> + <link>train_shape_predictor.py.html</link> + </item> + <item> + <name>Face Detector</name> + <link>face_detector.py.html</link> + </item> + <item> + <name>CNN Face Detector</name> + <link>cnn_face_detector.py.html</link> + </item> + <item> + <name>Train Object Detector</name> + <link>train_object_detector.py.html</link> + </item> + <item> + <name>Sequence Segmenter</name> + <link>sequence_segmenter.py.html</link> + </item> + <item> + <name>Structural Support Vector Machines</name> + <link>svm_struct.py.html</link> + </item> + <item> + <name>SVM-Rank</name> + <link>svm_rank.py.html</link> + </item> + <item> + <name>Linear Assignment Problems</name> + <link>max_cost_assignment.py.html</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>Examples: C++</name> + <sub> + <item> + <name>Deep Learning Introduction Part 1</name> + <link>dnn_introduction_ex.cpp.html</link> + </item> + <item> + <name>Deep Learning Introduction Part 2</name> + <link>dnn_introduction2_ex.cpp.html</link> + </item> + <item> + <name>Deep Learning Imagenet Classifier</name> + <link>dnn_imagenet_ex.cpp.html</link> + </item> + <item> + <name>Deep Learning Imagenet Trainer </name> + <link>dnn_imagenet_train_ex.cpp.html</link> + </item> + <item> + <name>Deep Learning Inception</name> + <link>dnn_inception_ex.cpp.html</link> + </item> + <item> + <name>Deep Metric Learning Introduction</name> + <link>dnn_metric_learning_ex.cpp.html</link> + </item> + <item> + <name>Deep Metric Learning on Images</name> + <link>dnn_metric_learning_on_images_ex.cpp.html</link> + </item> + <item> + <name>Deep Face Recognition</name> + <link>dnn_face_recognition_ex.cpp.html</link> + </item> + <item> + <name>Deep Learning Semantic Segmentation Trainer</name> + <link>dnn_semantic_segmentation_train_ex.cpp.html</link> + </item> + <item> + <name>Deep Learning Semantic Segmentation</name> + <link>dnn_semantic_segmentation_ex.cpp.html</link> + </item> + <item> + <name>Deep Learning Vehicle Detection</name> + <link>dnn_mmod_find_cars_ex.cpp.html</link> + </item> + <item> + <name>Deep Learning Multi-Class Vehicle Detection</name> + <link>dnn_mmod_find_cars2_ex.cpp.html</link> + </item> + <item> + <name>Deep Learning Vehicle Detection Trainer</name> + <link>dnn_mmod_train_find_cars_ex.cpp.html</link> + </item> + <item> + <name>Deep Learning Face Detection</name> + <link>dnn_mmod_face_detection_ex.cpp.html</link> + </item> + <item> + <name>Deep Learning Dog Hipsterizer</name> + <link>dnn_mmod_dog_hipsterizer.cpp.html</link> + </item> + <item> + <name>Deep Learning Max-Margin Object Detection</name> + <link>dnn_mmod_ex.cpp.html</link> + </item> + + <item> + <name>Random Cropper</name> + <link>random_cropper_ex.cpp.html</link> + </item> + + <item> + <name>Linear Model Predictive Control</name> + <link>mpc_ex.cpp.html</link> + </item> + <item> + <name>Video Object Tracking</name> + <link>video_tracking_ex.cpp.html</link> + </item> + <item> + <name>SQLite</name> + <link>sqlite_ex.cpp.html</link> + </item> + <item> + <name>Hough Transform</name> + <link>hough_transform_ex.cpp.html</link> + </item> + <item> + <name>Webcam Face Pose Estimation</name> + <link>webcam_face_pose_ex.cpp.html</link> + </item> + <item> + <name>Linear Assignment Problems</name> + <link>max_cost_assignment_ex.cpp.html</link> + </item> + <item> + <name>Learning to Track</name> + <link>learning_to_track_ex.cpp.html</link> + </item> + <item> + <name>Structural Support Vector Machines</name> + <link>svm_struct_ex.cpp.html</link> + </item> + <item> + <name>Sequence Segmentation</name> + <link>sequence_segmenter_ex.cpp.html</link> + </item> + <item> + <name>Train Object Detector</name> + <link>train_object_detector.cpp.html</link> + </item> + <item> + <name>One Class Classifiers</name> + <link>one_class_classifiers_ex.cpp.html</link> + </item> + <item> + <name>Parallel For Loops</name> + <link>parallel_for_ex.cpp.html</link> + </item> + <item> + <name>Numerical Integration</name> + <link>integrate_function_adapt_simp_ex.cpp.html</link> + </item> + <item> + <name>SVM-Rank</name> + <link>svm_rank_ex.cpp.html</link> + </item> + <item> + <name>BSP</name> + <link>bsp_ex.cpp.html</link> + </item> + <item> + <name>Assignment Learning</name> + <link>assignment_learning_ex.cpp.html</link> + </item> + <item> + <name>Graph Labeling</name> + <link>graph_labeling_ex.cpp.html</link> + </item> + <item> + <name>Sequence Labeling</name> + <link>sequence_labeler_ex.cpp.html</link> + </item> + <item> + <name>Object Detector</name> + <link>object_detector_ex.cpp.html</link> + </item> + <item> + <name>Object Detector Advanced</name> + <link>object_detector_advanced_ex.cpp.html</link> + </item> + <item> + <name>Running Stats</name> + <link>running_stats_ex.cpp.html</link> + </item> + <item> + <name>Config File Reader</name> + <link>config_reader_ex.cpp.html</link> + </item> + <item> + <name>Member Function Pointer</name> + <link>member_function_pointer_ex.cpp.html</link> + </item> + <item> + <name>Empirical Kernel Map</name> + <link>empirical_kernel_map_ex.cpp.html</link> + </item> + <item> + <name>Linear Manifold Regularizer</name> + <link>linear_manifold_regularizer_ex.cpp.html</link> + </item> + <item> + <name>Kernel RLS Regression</name> + <link>krls_ex.cpp.html</link> + </item> + <item> + <name>Optimization</name> + <link>optimization_ex.cpp.html</link> + </item> + <item> + <name>Non-Linear Least Squares</name> + <link>least_squares_ex.cpp.html</link> + </item> + <item> + <name>Kernel RLS Filtering</name> + <link>krls_filter_ex.cpp.html</link> + </item> + <item> + <name>Kernel Centroid</name> + <link>kcentroid_ex.cpp.html</link> + </item> + <item> + <name>Kernel K-Means Clustering</name> + <link>kkmeans_ex.cpp.html</link> + </item> + <item> + <name>Matrix</name> + <link>matrix_ex.cpp.html</link> + </item> + <item> + <name>Matrix Expressions</name> + <link>matrix_expressions_ex.cpp.html</link> + </item> + <item> + <name>3D Point Cloud</name> + <link>3d_point_cloud_ex.cpp.html</link> + </item> + <item> + <name>Image</name> + <link>image_ex.cpp.html</link> + </item> + <item> + <name>FHOG Feature Extraction</name> + <link>fhog_ex.cpp.html</link> + </item> + <item> + <name>FHOG Object Detection</name> + <link>fhog_object_detector_ex.cpp.html</link> + </item> + <item> + <name>Face Detection</name> + <link>face_detection_ex.cpp.html</link> + </item> + <item> + <name>Face Landmark Detection</name> + <link>face_landmark_detection_ex.cpp.html</link> + </item> + <item> + <name>Train Shape Predictor</name> + <link>train_shape_predictor_ex.cpp.html</link> + </item> + <item> + <name>SURF</name> + <link>surf_ex.cpp.html</link> + </item> + <item> + <name>Rank Features</name> + <link>rank_features_ex.cpp.html</link> + </item> + <item> + <name>Relevance Vector Regression</name> + <link>rvm_regression_ex.cpp.html</link> + </item> + <item> + <name>Relevance Vector Classification</name> + <link>rvm_ex.cpp.html</link> + </item> + <item> + <name>Kernel Ridge Regression</name> + <link>krr_regression_ex.cpp.html</link> + </item> + <item> + <name>KRR Classification</name> + <link>krr_classification_ex.cpp.html</link> + </item> + <item> + <name>Nu-Support Vector Machine</name> + <link>svm_ex.cpp.html</link> + </item> + <item> + <name>C-Support Vector Machine</name> + <link>svm_c_ex.cpp.html</link> + </item> + <item> + <name>Using Custom Kernels</name> + <link>using_custom_kernels_ex.cpp.html</link> + </item> + <item> + <name>Support Vector Regression</name> + <link>svr_ex.cpp.html</link> + </item> + <item> + <name>Multiclass Classification</name> + <link>multiclass_classification_ex.cpp.html</link> + </item> + <item> + <name>Custom Trainers</name> + <link>custom_trainer_ex.cpp.html</link> + </item> + <item> + <name>Model Selection</name> + <link>model_selection_ex.cpp.html</link> + </item> + <item> + <name>Online SVM</name> + <link>svm_pegasos_ex.cpp.html</link> + </item> + <item> + <name>Sparse Vectors</name> + <link>svm_sparse_ex.cpp.html</link> + </item> + <item> + <name>Neural Network</name> + <link>mlp_ex.cpp.html</link> + </item> + <item> + <name>Bayesian Network From Disk</name> + <link>bayes_net_from_disk_ex.cpp.html</link> + </item> + <item> + <name>Bayesian Network GUI</name> + <link>bayes_net_gui_ex.cpp.html</link> + </item> + <item> + <name>Bayesian Network</name> + <link>bayes_net_ex.cpp.html</link> + </item> + <item> + <name>Std C++ Allocator</name> + <link>std_allocator_ex.cpp.html</link> + </item> + <item> + <name>HTTP Server</name> + <link>server_http_ex.cpp.html</link> + </item> + <item> + <name>Base64 Encoder</name> + <link>file_to_code_ex.cpp.html</link> + </item> + <item> + <name>Sockstreambuf</name> + <link>sockstreambuf_ex.cpp.html</link> + </item> + <item> + <name>IO Streams Server</name> + <link>server_iostream_ex.cpp.html</link> + </item> + <item> + <name>IO Socket Streams</name> + <link>iosockstream_ex.cpp.html</link> + </item> + <item> + <name>Logger</name> + <link>logger_ex.cpp.html</link> + </item> + <item> + <name>Logger Advanced</name> + <link>logger_ex_2.cpp.html</link> + </item> + <item> + <name>Logger Custom Output</name> + <link>logger_custom_output_ex.cpp.html</link> + </item> + <item> + <name>XML Parser</name> + <link>xml_parser_ex.cpp.html</link> + </item> + <item> + <name>Threads</name> + <link>threads_ex.cpp.html</link> + </item> + <item> + <name>Directory Navigation</name> + <link>dir_nav_ex.cpp.html</link> + </item> + <item> + <name>GUI</name> + <link>gui_api_ex.cpp.html</link> + </item> + <item> + <name>Sockets</name> + <link>sockets_ex.cpp.html</link> + </item> + <item> + <name>Queue</name> + <link>queue_ex.cpp.html</link> + </item> + <item> + <name>Quantum Computing</name> + <link>quantum_computing_ex.cpp.html</link> + </item> + <item> + <name>Bridge</name> + <link>bridge_ex.cpp.html</link> + </item> + <item> + <name>Pipe</name> + <link>pipe_ex.cpp.html</link> + </item> + <item> + <name>Pipe 2</name> + <link>pipe_ex_2.cpp.html</link> + </item> + <item> + <name>Timer</name> + <link>timer_ex.cpp.html</link> + </item> + <item> + <name>Compress Stream</name> + <link>compress_stream_ex.cpp.html</link> + </item> + <item> + <name>Cmd Line Parser</name> + <link>compress_stream_ex.cpp.html#_top</link> + </item> + <item> + <name>Threaded Object</name> + <link>threaded_object_ex.cpp.html</link> + </item> + <item> + <name>Thread Pool</name> + <link>thread_pool_ex.cpp.html</link> + </item> + <item> + <name>Thread Function</name> + <link>thread_function_ex.cpp.html</link> + </item> + <item> + <name>Multithreaded Object</name> + <link>multithreaded_object_ex.cpp.html</link> + </item> + </sub> + </item> + </section> + + <section> + <name>Current Release</name> + <chm><item nolink="true">Version: <current_release/></item></chm> + <item> + <name>Release Notes</name> + <link>release_notes.html</link> + </item> + <item> + <name>Change Log</name> + <link>change_log.html</link> + </item> + + </section> + + <web> + <download_button> + <name><div id="dlname">Download dlib</div> + <div id="dlib_version">ver.<current_release/></div> + </name> + <link>http://dlib.net/files/dlib-<current_release/>.tar.bz2</link> + </download_button> + </web> + </top> + + <bottom> + Last Modified:<br/> + <last_modified_date/> + </bottom> + + </menu> + +</doc> + diff --git a/ml/dlib/docs/docs/metaprogramming.xml b/ml/dlib/docs/docs/metaprogramming.xml new file mode 100644 index 000000000..93d095275 --- /dev/null +++ b/ml/dlib/docs/docs/metaprogramming.xml @@ -0,0 +1,813 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Metaprogramming</title> + + <!-- ************************************************************************* --> + + <body> + + <p> + This page documents library components that provide metaprogramming sorts of functionality. For + the most part they are useful for putting design by contract checks into code or doing various kinds of + clever things with templates. + </p> + <p> + For example, you might have a templated function that is templated on a type T and you want to + make sure that T is either a char or wchar_t type. You could place the following into your code + and it would cause the compile to error out when T was set to something other than char or wchar_t. + <br/> + <tt>COMPILE_TIME_ASSERT((is_same_type<T,char>::value || is_same_type<T,wchar_t>::value));</tt> + </p> + + </body> + + <!-- ************************************************************************* --> + + <menu width="200"> + <top> + <section> + <name>Objects</name> + <item>is_pointer_type</item> + <item>is_const_type</item> + <item>is_reference_type</item> + <item>is_same_type</item> + <item>is_float_type</item> + <item>is_convertible</item> + <item>is_complex</item> + <item>is_function</item> + <item>is_signed_type</item> + <item>is_unsigned_type</item> + <item>static_switch</item> + <item>noncopyable</item> + <item>enable_if</item> + <item>is_array2d</item> + <item>is_array</item> + <item>is_graph</item> + <item>is_rand</item> + <item>is_matrix</item> + <item>is_config_reader</item> + <item>is_std_vector</item> + <item>is_pair</item> + <item>is_directed_graph</item> + <item>is_built_in_scalar_type</item> + <item>promote</item> + <item>basic_type</item> + <item>unsigned_type</item> + <item>tabs</item> + <item>tmin</item> + <item>tmax</item> + <item>compile_time_integer_list</item> + <item>make_compile_time_integer_range</item> + </section> + + <section> + <name>Global Functions</name> + <item>DLIB_ASSERT</item> + <item>DLIB_STACK_TRACE</item> + <item>DLIB_STACK_TRACE_NAMED</item> + <item>get_stack_trace</item> + <item>DLIB_CASSERT</item> + <item>COMPILE_TIME_ASSERT</item> + <item>ASSERT_ARE_SAME_TYPE</item> + <item>DLIB_ASSERT_HAS_STANDARD_LAYOUT</item> + <item>ASSERT_ARE_NOT_SAME_TYPE</item> + <item>_dT</item> + <item>is_same_object</item> + <item>assign_zero_if_built_in_scalar_type</item> + <item>wrap_function</item> + <item>DLIB_MAKE_HAS_MEMBER_FUNCTION_TEST</item> + </section> + + <section> + <name>Other</name> + <item>portability_macros</item> + </section> + + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + <!-- ************************************************************************* --> + + <component> + <name>tmin</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template to compute the min of two values at compile time. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>tmax</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template to compute the max of two values at compile time. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>compile_time_integer_list</name> + <file>dlib/metaprogramming.h</file> + <spec_file link="true">dlib/metaprogramming.h</spec_file> + <description> + This is a variadic template that can represent a list of integers. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>make_compile_time_integer_range</name> + <file>dlib/metaprogramming.h</file> + <spec_file link="true">dlib/metaprogramming.h</spec_file> + <description> + This is a variadic template that takes one number, MAX, as input + and creates a <a href="#compile_time_integer_list">compile_time_integer_list</a> + representing the range of integers [1,MAX] inclusive. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>tabs</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template to compute the absolute value a number at compile time. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>unsigned_type</name> + <file>dlib/uintn.h</file> + <spec_file link="true">dlib/uintn.h</spec_file> + <description> + This is a template that allows you to obtain the unsigned version + of any integral type. For example, unsigned_type<signed short>::type == + unsigned short. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>static_switch</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + To use this template you give it some number of boolean expressions and it + tells you which one of them is true. If more than one of them is true then + it causes a compile time error. It is useful for cases where you want to + specialize a template and you want to specialize it not by + the type of object it gets per say but instead according to the values of some + type traits associated with the various template arguments. A simple example of + this can be seen in the <a href="imaging.html#assign_pixel">assign_pixel</a>'s + implementation which can be found at the bottom of the <a href="dlib/pixel.h.html"> + dlib/pixel.h</a> file. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>enable_if</name> + <file>dlib/enable_if.h</file> + <description> + This is a family of templates from the Boost C++ libraries that makes it somewhat easier to control + template specialization. For the details see <a href="enable_if.html"> + this page</a>. Note that the header <tt>dlib/enable_if.h</tt> brings + these templates into the dlib namespace.<br/> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>noncopyable</name> + <file>dlib/noncopyable.h</file> + <spec_file link="true">dlib/noncopyable.h</spec_file> + <description> + This is a simple class that makes it easy to declare a non-copyable object. + To use it to make your own class non-copyable just inherit from it. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_convertible</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template that can be used to determine if one type is convertible + into another type. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_complex</name> + <file>dlib/matrix.h</file> + <spec_file link="true">dlib/matrix/matrix_utilities.h</spec_file> + <description> + This is a template that can be used to determine if a type is a + specialization of std::complex. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_same_type</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template where is_same_type<T,U>::value == true when T and U are + the same type and false otherwise. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_float_type</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template where is_float_type<T>::value == true when T is + a floating point type (i.e. float, double, or long double) and false otherwise. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_same_object</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a templated function which checks if both of its arguments are actually + references to the same object. It returns true if they are and false otherwise. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_function</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template where is_function<T>::value == true when T is + a function type. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_signed_type</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template where is_signed_type<T>::value == true when T is + a signed scalar type and false when it is an unsigned scalar + type. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_unsigned_type</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template where is_unsigned_type<T>::value == true when T is + an unsigned scalar type and false when it is a signed scalar + type. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_directed_graph</name> + <file>dlib/is_kind.h</file> + <spec_file link="true">dlib/is_kind.h</spec_file> + <description> + This is a template where is_directed_graph<T>::value == true when T + is a <a href="containers.html#directed_graph">directed_graph</a> object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_built_in_scalar_type</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template where is_built_in_scalar_type<T>::value == true when T + is a built in scalar type such as int, char, float, etc. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>promote</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template that takes one of the built in scalar types and gives you another + scalar type that should be big enough to hold sums of values from the original scalar + type. The new scalar type will also always be signed. + + <p> + For example, promote<uint16>::type == int32 + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>basic_type</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template that takes a type and strips off any const, volatile, or reference + qualifiers and gives you back the basic underlying type. + + <p> + For example, promote<const int&>::type == int + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>is_std_vector</name> + <file>dlib/is_kind.h</file> + <spec_file link="true">dlib/is_kind.h</spec_file> + <description> + This is a template where is_std_vector<T>::value == true when T + is a <a href="containers.html#std_vector_c">std_vector_c</a> or std::vector object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_pair</name> + <file>dlib/is_kind.h</file> + <spec_file link="true">dlib/is_kind.h</spec_file> + <description> + This is a template where is_pair<T>::value == true when T + is a std::pair object. + </description> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>is_matrix</name> + <file>dlib/is_kind.h</file> + <spec_file link="true">dlib/is_kind.h</spec_file> + <description> + This is a template where is_matrix<T>::value == true when T + is a <a href="linear_algebra.html#matrix">matrix</a> object or some kind + of matrix expression. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_config_reader</name> + <file>dlib/is_kind.h</file> + <spec_file link="true">dlib/is_kind.h</spec_file> + <description> + This is a template where is_config_reader<T>::value == true when T + is a <a href="parsing.html#config_reader">config_reader</a> or + config_reader_thread_safe object. + </description> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>is_graph</name> + <file>dlib/is_kind.h</file> + <spec_file link="true">dlib/is_kind.h</spec_file> + <description> + This is a template where is_graph<T>::value == true when T + is a <a href="containers.html#graph">graph</a> object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_array2d</name> + <file>dlib/is_kind.h</file> + <spec_file link="true">dlib/is_kind.h</spec_file> + <description> + This is a template where is_array2d<T>::value == true when T + is an <a href="containers.html#array2d">array2d</a> object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_array</name> + <file>dlib/is_kind.h</file> + <spec_file link="true">dlib/is_kind.h</spec_file> + <description> + This is a template where is_array<T>::value == true when T + is an <a href="containers.html#array">array</a> object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_rand</name> + <file>dlib/is_kind.h</file> + <spec_file link="true">dlib/is_kind.h</spec_file> + <description> + This is a template where is_rand<T>::value == true when T + is a <a href="algorithms.html#rand">rand</a> object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_reference_type</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template where is_reference_type<T>::value == true when T is a reference + type and false otherwise. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_const_type</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template where is_const_type<T>::value == true when T is a const + type and false otherwise. + </description> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>is_pointer_type</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template where is_pointer_type<T>::value == true when T is a pointer + type and false otherwise. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>ASSERT_ARE_NOT_SAME_TYPE</name> + <file>dlib/assert.h</file> + <spec_file>dlib/assert.h</spec_file> + <description> + <p> + This is a macro function for debugging. Its form is <tt>ASSERT_ARE_NOT_SAME_TYPE(type1, type2)</tt>. + If type1 and type2 are the same type then the compile will fail. This is sometimes useful + in validating template arguments. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>ASSERT_ARE_SAME_TYPE</name> + <file>dlib/assert.h</file> + <spec_file>dlib/assert.h</spec_file> + <description> + <p> + This is a macro function for debugging. Its form is <tt>ASSERT_ARE_SAME_TYPE(type1, type2)</tt>. + If type1 and type2 are not the same type then the compile will fail. This is sometimes useful + in validating template arguments. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>DLIB_ASSERT_HAS_STANDARD_LAYOUT</name> + <file>dlib/assert.h</file> + <spec_file link="true">dlib/assert.h</spec_file> + <description> + <p> + This macro is meant to cause a compiler error if a type doesn't have a simple + memory layout (like a C struct). In particular, types with simple layouts are + ones which can be copied via memcpy(). + </p> + + This was called a POD type in C++03 and in C++0x we are looking to check if + it is a "standard layout type". Once we can use C++0x we can change this macro + to something that uses the std::is_standard_layout type_traits class. + See: http://www2.research.att.com/~bs/C++0xFAQ.html#PODs + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>COMPILE_TIME_ASSERT</name> + <file>dlib/assert.h</file> + <spec_file>dlib/assert.h</spec_file> + <description> + <p> + This is a macro function for debugging. Its form is <tt>COMPILE_TIME_ASSERT(condition that should + be true)</tt>. The condition must be a compile time constant and if it is false then the compile + will fail. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>DLIB_MAKE_HAS_MEMBER_FUNCTION_TEST</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + <p> + The DLIB_MAKE_HAS_MEMBER_FUNCTION_TEST() macro is used to define traits templates + that tell you if a class has a certain member function. For example, to make a + test to see if a class has a public method with the signature void print(int) you + would say: + </p> + <blockquote> + <tt>DLIB_MAKE_HAS_MEMBER_FUNCTION_TEST(has_print, void, print, (int))</tt> + </blockquote> + Then you can check if a class, T, has this method by looking at the boolean value: + <blockquote> + <tt>has_print<T>::value</tt> + </blockquote> + which will be true if the member function is in the T class. + + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>DLIB_CASSERT</name> + <file>dlib/assert.h</file> + <spec_file>dlib/assert.h</spec_file> + <description> + <p> + This is a macro function that is identical to the <a href="#DLIB_ASSERT">DLIB_ASSERT</a> macro + except that it is always enabled. Even if _DEBUG, DEBUG and ENABLE_ASSERTS are not defined. + </p> + <p> + Note that when this macro fails and throws an exception it also calls the global + C function dlib_assert_breakpoint(). This behavior makes it easy to set a debugging + tool to break when DLIB_CASSERT fails by setting a breakpoint on dlib_assert_breakpoint(). + </p> + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>DLIB_ASSERT</name> + <file>dlib/assert.h</file> + <spec_file>dlib/assert.h</spec_file> + <description> + <p> + This is a macro function for debugging. Its form is +<code_box>DLIB_ASSERT(condition that should be true, error message)</code_box> +or you can omit the error message and call it like: +<code_box>DLIB_ASSERT(condition that should be true)</code_box> + If the condition is false DLIB_ASSERT throws an exception of type + dlib::fatal_error with fatal_error::type == EBROKEN_ASSERT. An error message detailing + the nature of the problem is stored in the member variable info which is of type std::string. + Look in the following file for more details. The exception classes are defined + <a href="dlib/error.h.html#error">here</a>. + </p> + <p> + This macro is only enabled if _DEBUG, DEBUG or ENABLE_ASSERTS is defined. Also, if this macro <i>is</i> + enabled then ENABLE_ASSERTS will be defined even if you didn't define it. + </p> + <p> + Note that when this macro fails and throws an exception it also calls the global + C function dlib_assert_breakpoint(). This behavior makes it easy to set a debugging + tool to break when DLIB_ASSERT fails by setting a breakpoint on dlib_assert_breakpoint(). + </p> + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>DLIB_STACK_TRACE</name> + <file>dlib/assert.h</file> + <spec_file>dlib/stack_trace.h</spec_file> + <description> + <p> + This is a preprocessor macro that allows you to tag a function so + that dlib will keep track of it in a function call stack. That is, + you will be able to see a stack trace by calling <a href="#get_stack_trace">get_stack_trace</a> + if you put this macro at the top of your functions. + </p> + <p> + This macro is only enabled if DLIB_ENABLE_STACK_TRACE is defined. If it isn't defined then + this macro doesn't do anything. Also note that when this macro is defined it will + cause <a href="#DLIB_ASSERT">DLIB_ASSERT</a> and <a href="#DLIB_CASSERT">DLIB_CASSERT</a> + to include a stack trace in their error messages. + </p> + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>DLIB_STACK_TRACE_NAMED</name> + <file>dlib/assert.h</file> + <spec_file>dlib/stack_trace.h</spec_file> + <description> + This is a preprocessor macro just like <a href="#DLIB_STACK_TRACE">DLIB_STACK_TRACE</a> + except that it allows you to supply your own string to use as the function name + in the stack trace instead of the one deduced by DLIB_STACK_TRACE. + <p> + This macro is only enabled if DLIB_ENABLE_STACK_TRACE is defined. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>get_stack_trace</name> + <file>dlib/assert.h</file> + <spec_file>dlib/stack_trace.h</spec_file> + <description> + This function allows you to query the current stack trace. + <p> + This macro is only enabled if DLIB_ENABLE_STACK_TRACE is defined. + </p> + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>_dT</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a macro function for converting a string/character literal to either a char or wchar_t literal. + Its form is <tt>_dT(target character type,string or character literal)</tt> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>assign_zero_if_built_in_scalar_type</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + <p> + This function assigns its argument the value of 0 if it is a built in scalar + type according to the <a href="#is_built_in_scalar_type">is_built_in_scalar_type</a> + template. If it isn't a built in scalar type then it does nothing. + </p> + <p> + This function is useful for suppressing compiler warnings about uninitialized + types inside of templates that are designed to accept the built in types + as well as user defined classes. + </p> + + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>wrap_function</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a template that allows you to turn a global function into a + function object. See the specs for more details. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>portability_macros</name> + <file>dlib/platform.h</file> + <spec_file>dlib/platform.h</spec_file> + <description> + This file #defines various macros depending on the platform being compiled under. + See the file itself for the specifics. + </description> + + </component> + + + <!-- ************************************************************************* --> + + </components> + + <!-- ************************************************************************* --> + + +</doc> + diff --git a/ml/dlib/docs/docs/minus.gif b/ml/dlib/docs/docs/minus.gif Binary files differnew file mode 100644 index 000000000..1deac2fe1 --- /dev/null +++ b/ml/dlib/docs/docs/minus.gif diff --git a/ml/dlib/docs/docs/ml.xml b/ml/dlib/docs/docs/ml.xml new file mode 100644 index 000000000..f97e7da57 --- /dev/null +++ b/ml/dlib/docs/docs/ml.xml @@ -0,0 +1,3957 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Machine Learning</title> + + <!-- ************************************************************************* --> + + <body> + + <a href="ml_guide.svg"><img src="ml_guide.svg" width="100%"/></a> + <br/> + <br/> + <p><font style='font-size:1.4em;line-height:1.1em'> + Dlib contains a wide range of machine learning algorithms. All + designed to be highly modular, quick to execute, and simple to use + via a clean and modern C++ API. It is used in a wide range of + applications including robotics, embedded devices, mobile phones, and large + high performance computing environments. If you use dlib in your + research please cite: + </font></p> + <pre> +Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09a.pdf">Dlib-ml: A Machine Learning Toolkit</a>. + <i>Journal of Machine Learning Research</i>, 2009 + +@Article{dlib09, + author = {Davis E. King}, + title = {Dlib-ml: A Machine Learning Toolkit}, + journal = {Journal of Machine Learning Research}, + year = {2009}, + volume = {10}, + pages = {1755-1758}, +} + </pre> + + </body> + + <!-- ************************************************************************* --> + + <menu width="150"> + <top> + + <center><h2><u>Primary Algorithms</u></h2></center> + <section> + <name>Binary Classification</name> + <item>svm_nu_trainer</item> + <item>svm_c_trainer</item> + <item>svm_c_linear_trainer</item> + <item>svm_c_linear_dcd_trainer</item> + <item>svm_c_ekm_trainer</item> + <item>rvm_trainer</item> + <item>svm_pegasos</item> + <item>train_probabilistic_decision_function</item> + </section> + <section> + <name>Multiclass Classification</name> + <item>one_vs_one_trainer</item> + <item>one_vs_all_trainer</item> + <item>svm_multiclass_linear_trainer</item> + </section> + <section> + <name>Regression</name> + <item>mlp</item> + <item>krls</item> + <item>rls</item> + <item>krr_trainer</item> + <item>rr_trainer</item> + <item>svr_trainer</item> + <item>svr_linear_trainer</item> + <item>rvm_regression_trainer</item> + <item>rbf_network_trainer</item> + <item>random_forest_regression_trainer</item> + </section> + <section> + <name>Structured Prediction</name> + <item nolink="true"> + <name>Problem Instances</name> + <sub> + <item>structural_svm_sequence_labeling_problem</item> + <item>structural_svm_object_detection_problem</item> + <item>structural_svm_assignment_problem</item> + <item>structural_svm_graph_labeling_problem</item> + </sub> + </item> + <item nolink="true"> + <name>Core Tools</name> + <sub> + <item>structural_svm_problem</item> + <item>structural_svm_problem_threaded</item> + <item>svm_struct_controller_node</item> + <item>svm_struct_processing_node</item> + </sub> + </item> + <item>structural_object_detection_trainer</item> + <item>structural_sequence_labeling_trainer</item> + <item>structural_sequence_segmentation_trainer</item> + <item>structural_assignment_trainer</item> + <item>structural_track_association_trainer</item> + <item>structural_graph_labeling_trainer</item> + <item>svm_rank_trainer</item> + <item>shape_predictor_trainer</item> + </section> + <section> + <name>Deep Learning</name> + + <item nolink="true"> + <name>Core Tools</name> + <sub> + <item>dnn_trainer</item> + <item>add_layer</item> + <item>add_loss_layer</item> + <item>repeat</item> + <item>add_tag_layer</item> + <item>add_skip_layer</item> + <item>layer</item> + <item>test_layer</item> + <item>resizable_tensor</item> + <item>alias_tensor</item> + </sub> + </item> + <item nolink="true"> + <name>Input Layers</name> + <sub> + <item>input</item> + <item>input_rgb_image</item> + <item>input_rgb_image_sized</item> + <item>input_rgb_image_pyramid</item> + <item> + <name>EXAMPLE_INPUT_LAYER</name> + <link>dlib/dnn/input_abstract.h.html#EXAMPLE_INPUT_LAYER</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>Computational Layers</name> + <sub> + <item> + <name>EXAMPLE_COMPUTATIONAL_LAYER</name> + <link>dlib/dnn/layers_abstract.h.html#EXAMPLE_COMPUTATIONAL_LAYER_</link> + </item> + <item> + <name>fc</name> + <link>dlib/dnn/layers_abstract.h.html#fc_</link> + </item> + <item> + <name>con</name> + <link>dlib/dnn/layers_abstract.h.html#con_</link> + </item> + <item> + <name>cont</name> + <link>dlib/dnn/layers_abstract.h.html#cont_</link> + </item> + <item> + <name>scale</name> + <link>dlib/dnn/layers_abstract.h.html#scale_</link> + </item> + <item> + <name>extract</name> + <link>dlib/dnn/layers_abstract.h.html#extract_</link> + </item> + <item> + <name>mult_prev</name> + <link>dlib/dnn/layers_abstract.h.html#mult_prev_</link> + </item> + <item> + <name>upsample</name> + <link>dlib/dnn/layers_abstract.h.html#upsample_</link> + </item> + <item> + <name>l2normalize</name> + <link>dlib/dnn/layers_abstract.h.html#l2normalize_</link> + </item> + <item> + <name>dropout</name> + <link>dlib/dnn/layers_abstract.h.html#dropout_</link> + </item> + <item> + <name>multiply</name> + <link>dlib/dnn/layers_abstract.h.html#multiply_</link> + </item> + <item> + <name>bn</name> + <link>dlib/dnn/layers_abstract.h.html#bn_</link> + </item> + <item> + <name>affine</name> + <link>dlib/dnn/layers_abstract.h.html#affine_</link> + </item> + <item> + <name>max_pool</name> + <link>dlib/dnn/layers_abstract.h.html#max_pool_</link> + </item> + <item> + <name>avg_pool</name> + <link>dlib/dnn/layers_abstract.h.html#avg_pool_</link> + </item> + <item> + <name>relu</name> + <link>dlib/dnn/layers_abstract.h.html#relu_</link> + </item> + <item> + <name>concat</name> + <link>dlib/dnn/layers_abstract.h.html#concat_</link> + </item> + <item> + <name>prelu</name> + <link>dlib/dnn/layers_abstract.h.html#prelu_</link> + </item> + <item> + <name>sig</name> + <link>dlib/dnn/layers_abstract.h.html#sig_</link> + </item> + <item> + <name>htan</name> + <link>dlib/dnn/layers_abstract.h.html#htan_</link> + </item> + <item> + <name>softmax_all</name> + <link>dlib/dnn/layers_abstract.h.html#softmax_all_</link> + </item> + <item> + <name>softmax</name> + <link>dlib/dnn/layers_abstract.h.html#softmax_</link> + </item> + <item> + <name>add_prev</name> + <link>dlib/dnn/layers_abstract.h.html#add_prev_</link> + </item> + <item> + <name>inception</name> + <link>dlib/dnn/layers_abstract.h.html#inception</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>Loss Layers</name> + <sub> + <item> + <name>EXAMPLE_LOSS_LAYER</name> + <link>dlib/dnn/loss_abstract.h.html#EXAMPLE_LOSS_LAYER_</link> + </item> + <item> + <name>loss_dot</name> + <link>dlib/dnn/loss_abstract.h.html#loss_dot_</link> + </item> + <item> + <name>loss_epsilon_insensitive</name> + <link>dlib/dnn/loss_abstract.h.html#loss_epsilon_insensitive_</link> + </item> + <item> + <name>loss_ranking</name> + <link>dlib/dnn/loss_abstract.h.html#loss_ranking_</link> + </item> + <item> + <name>loss_binary_hinge</name> + <link>dlib/dnn/loss_abstract.h.html#loss_binary_hinge_</link> + </item> + <item> + <name>loss_binary_log</name> + <link>dlib/dnn/loss_abstract.h.html#loss_binary_log_</link> + </item> + <item> + <name>loss_multimulticlass_log</name> + <link>dlib/dnn/loss_abstract.h.html#loss_multimulticlass_log_</link> + </item> + <item> + <name>loss_multiclass_log</name> + <link>dlib/dnn/loss_abstract.h.html#loss_multiclass_log_</link> + </item> + <item> + <name>loss_multiclass_log_per_pixel</name> + <link>dlib/dnn/loss_abstract.h.html#loss_multiclass_log_per_pixel_</link> + </item> + <item> + <name>loss_multiclass_log_per_pixel_weighted</name> + <link>dlib/dnn/loss_abstract.h.html#loss_multiclass_log_per_pixel_weighted_</link> + </item> + <item> + <name>loss_mmod</name> + <link>#loss_mmod_</link> + </item> + <item> + <name>loss_metric</name> + <link>#loss_metric_</link> + </item> + <item> + <name>loss_mean_squared</name> + <link>#loss_mean_squared_</link> + </item> + <item> + <name>loss_mean_squared_per_pixel</name> + <link>dlib/dnn/loss_abstract.h.html#loss_mean_squared_per_pixel_</link> + </item> + <item> + <name>loss_mean_squared_multioutput</name> + <link>dlib/dnn/loss_abstract.h.html#loss_mean_squared_multioutput_</link> + </item> + </sub> + </item> + <item nolink="true"> + <name>Solvers</name> + <sub> + <item> + <name>EXAMPLE_SOLVER</name> + <link>dlib/dnn/solvers_abstract.h.html#EXAMPLE_SOLVER</link> + </item> + <item> + <name>sgd</name> + <link>dlib/dnn/solvers_abstract.h.html#sgd</link> + </item> + <item> + <name>adam</name> + <link>dlib/dnn/solvers_abstract.h.html#adam</link> + </item> + </sub> + </item> + </section> + + <section> + <name>Clustering</name> + <item>pick_initial_centers</item> + <item>kkmeans</item> + <item>find_clusters_using_kmeans</item> + <item>find_clusters_using_angular_kmeans</item> + <item>nearest_center</item> + <item>newman_cluster</item> + <item>spectral_cluster</item> + <item>chinese_whispers</item> + <item>bottom_up_cluster</item> + <item>segment_number_line</item> + <item>modularity</item> + </section> + <section> + <name>Unsupervised</name> + <item>kcentroid</item> + <item>linearly_independent_subset_finder</item> + <item>empirical_kernel_map</item> + <item>svm_one_class_trainer</item> + <item>vector_normalizer</item> + <item>vector_normalizer_pca</item> + <item>sammon_projection</item> + <item>cca</item> + </section> + <section> + <name>Semi-Supervised/Metric Learning</name> + <item>linear_manifold_regularizer</item> + <item>discriminant_pca</item> + <item>vector_normalizer_frobmetric</item> + <item>compute_lda_transform</item> + </section> + <section> + <name>Reinforcement Learning</name> + <item>lspi</item> + </section> + <section> + <name>Feature Selection</name> + <item>rank_features</item> + <item>sort_basis_vectors</item> + <item>rank_unlabeled_training_samples</item> + </section> + + <center><h2><u>Other Tools</u></h2></center> + <section> + <name>Validation</name> + <item>cross_validate_trainer</item> + <item>cross_validate_object_detection_trainer</item> + <item>cross_validate_trainer_threaded</item> + <item>cross_validate_multiclass_trainer</item> + <item>cross_validate_regression_trainer</item> + <item>cross_validate_sequence_labeler</item> + <item>cross_validate_sequence_segmenter</item> + <item>cross_validate_assignment_trainer</item> + <item>cross_validate_track_association_trainer</item> + <item>cross_validate_graph_labeling_trainer</item> + <item>cross_validate_ranking_trainer</item> + <item>test_binary_decision_function</item> + <item>test_multiclass_decision_function</item> + <item>test_regression_function</item> + <item>test_object_detection_function</item> + <item>test_sequence_labeler</item> + <item>test_sequence_segmenter</item> + <item>test_assignment_function</item> + <item>test_track_association_function</item> + <item>test_graph_labeling_function</item> + <item>test_ranking_function</item> + <item>test_shape_predictor</item> + <item>average_precision</item> + <item>equal_error_rate</item> + <item>compute_roc_curve</item> + </section> + + <section> + <name>Trainer Adapters</name> + <item>reduced</item> + <item>reduced2</item> + <item>batch</item> + <item>probabilistic</item> + <item>verbose_batch</item> + <item>batch_cached</item> + <item>verbose_batch_cached</item> + <item>null_trainer</item> + <item>roc_c1_trainer</item> + <item>roc_c2_trainer</item> + </section> + + <section> + <name>Kernels</name> + <item>radial_basis_kernel</item> + <item>polynomial_kernel</item> + <item>sigmoid_kernel</item> + <item>linear_kernel</item> + <item>histogram_intersection_kernel</item> + <item>offset_kernel</item> + + <item>sparse_radial_basis_kernel</item> + <item>sparse_polynomial_kernel</item> + <item>sparse_sigmoid_kernel</item> + <item>sparse_linear_kernel</item> + <item>sparse_histogram_intersection_kernel</item> + + </section> + + <section> + <name>Function Objects</name> + <item>random_forest_regression_function</item> + <item>decision_function</item> + <item>projection_function</item> + <item>distance_function</item> + <item>probabilistic_decision_function</item> + <item>probabilistic_function</item> + <item>normalized_function</item> + <item>one_vs_one_decision_function</item> + <item>multiclass_linear_decision_function</item> + <item>one_vs_all_decision_function</item> + <item>sequence_labeler</item> + <item>sequence_segmenter</item> + <item>assignment_function</item> + <item>track_association_function</item> + <item>graph_labeler</item> + <item>policy</item> + </section> + + <section> + <name>Data IO</name> + <item>load_image_dataset_metadata</item> + <item>load_image_dataset</item> + <item>save_image_dataset_metadata</item> + <item>load_libsvm_formatted_data</item> + <item>save_libsvm_formatted_data</item> + <item>fix_nonzero_indexing</item> + <item>make_bounding_box_regression_training_data</item> + </section> + + <section> + <name>Miscellaneous</name> + <item>simplify_linear_decision_function</item> + <item>fill_lisf</item> + <item>randomize_samples</item> + <item>is_binary_classification_problem</item> + <item>is_sequence_labeling_problem</item> + <item>is_sequence_segmentation_problem</item> + <item>is_graph_labeling_problem</item> + <item>is_assignment_problem</item> + <item>is_track_association_problem</item> + <item>is_forced_assignment_problem</item> + <item>approximate_distance_function</item> + <item>is_learning_problem</item> + <item>select_all_distinct_labels</item> + <item>find_gamma_with_big_centroid_gap</item> + <item>compute_mean_squared_distance</item> + <item>kernel_matrix</item> + <item>ranking_pair</item> + <item>is_ranking_problem</item> + <item>count_ranking_inversions</item> + <item>learn_platt_scaling</item> + <item>process_sample</item> + + + + </section> + + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + + <!-- ************************************************************************* --> + + <component> + <name>add_layer</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/core_abstract.h</spec_file> + <description> + In dlib, a deep neural network is composed of 3 main parts. An + <a href="dlib/dnn/input_abstract.h.html#EXAMPLE_INPUT_LAYER">input layer</a>, a bunch of + <a href="dlib/dnn/layers_abstract.h.html#EXAMPLE_COMPUTATIONAL_LAYER_">computational layers</a>, + and optionally a + <a href="dlib/dnn/loss_abstract.h.html#EXAMPLE_LOSS_LAYER_">loss layer</a>. The add_layer + class is the central object which adds a computational layer onto an + input layer or an entire network. Therefore, deep neural networks are created + by stacking many layers on top of each other using the add_layer class. + <p> + For a tutorial showing how this is accomplished read + the <a href="dnn_introduction_ex.cpp.html">DNN Introduction part 1</a> and + <a href="dnn_introduction2_ex.cpp.html">DNN Introduction part 2</a>. + </p> + </description> + <examples> + <example>dnn_introduction_ex.cpp.html</example> + <example>dnn_introduction2_ex.cpp.html</example> + <example>dnn_inception_ex.cpp.html</example> + <example>dnn_imagenet_ex.cpp.html</example> + <example>dnn_imagenet_train_ex.cpp.html</example> + <example>dnn_mmod_ex.cpp.html</example> + <example>dnn_mmod_find_cars_ex.cpp.html</example> + <example>dnn_mmod_find_cars2_ex.cpp.html</example> + <example>dnn_mmod_train_find_cars_ex.cpp.html</example> + <example>dnn_mmod_face_detection_ex.cpp.html</example> + <example>dnn_mmod_dog_hipsterizer.cpp.html</example> + <example>dnn_metric_learning_ex.cpp.html</example> + <example>dnn_metric_learning_on_images_ex.cpp.html</example> + <example>dnn_face_recognition_ex.cpp.html</example> + <example>dnn_semantic_segmentation_ex.cpp.html</example> + <example>dnn_semantic_segmentation_train_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>dnn_trainer</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/trainer_abstract.h</spec_file> + <description> + This object is a tool training a deep neural network. + <p> + For a tutorial showing how this is accomplished read + the <a href="dnn_introduction_ex.cpp.html">DNN Introduction part 1</a> and + <a href="dnn_introduction2_ex.cpp.html">DNN Introduction part 2</a>. + </p> + </description> + <examples> + <example>dnn_introduction_ex.cpp.html</example> + <example>dnn_introduction2_ex.cpp.html</example> + <example>dnn_inception_ex.cpp.html</example> + <example>dnn_imagenet_ex.cpp.html</example> + <example>dnn_imagenet_train_ex.cpp.html</example> + <example>dnn_mmod_ex.cpp.html</example> + <example>dnn_mmod_train_find_cars_ex.cpp.html</example> + <example>dnn_metric_learning_ex.cpp.html</example> + <example>dnn_metric_learning_on_images_ex.cpp.html</example> + <example>dnn_semantic_segmentation_train_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>add_loss_layer</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/core_abstract.h</spec_file> + <description> + This object is a tool for stacking a <a href="dlib/dnn/loss_abstract.h.html#EXAMPLE_LOSS_LAYER_">loss layer</a> + on the top of a deep neural network. + </description> + <examples> + <example>dnn_introduction_ex.cpp.html</example> + <example>dnn_introduction2_ex.cpp.html</example> + <example>dnn_inception_ex.cpp.html</example> + <example>dnn_imagenet_ex.cpp.html</example> + <example>dnn_imagenet_train_ex.cpp.html</example> + <example>dnn_mmod_ex.cpp.html</example> + <example>dnn_mmod_find_cars_ex.cpp.html</example> + <example>dnn_mmod_train_find_cars_ex.cpp.html</example> + <example>dnn_metric_learning_ex.cpp.html</example> + <example>dnn_metric_learning_on_images_ex.cpp.html</example> + <example>dnn_face_recognition_ex.cpp.html</example> + <example>dnn_mmod_face_detection_ex.cpp.html</example> + <example>dnn_mmod_dog_hipsterizer.cpp.html</example> + <example>dnn_semantic_segmentation_train_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>repeat</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/core_abstract.h</spec_file> + <description> + This object adds N copies of a computational layer onto a deep neural network. + It is essentially the same as using <a href="#add_layer">add_layer</a> N times, + except that it involves less typing, and for large N, will compile much faster. + </description> + <examples> + <example>dnn_introduction2_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>add_tag_layer</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/core_abstract.h</spec_file> + <description> + This object is a tool for tagging layers in a deep neural network. These tags make it + easy to refer to the tagged layer in other parts of your code. + Specifically, this object adds a new layer onto a deep neural network. + However, this layer simply performs the identity transform. + This means it is a no-op and its presence does not change the + behavior of the network. It exists solely to be used by <a + href="#add_skip_layer">add_skip_layer</a> or <a href="#layer">layer()</a> to reference a + particular part of a network. + + <p> + For a tutorial showing how to use tagging see the + <a href="dnn_introduction2_ex.cpp.html">dnn_introduction2_ex.cpp</a> + example program. + </p> + </description> + <examples> + <example>dnn_introduction2_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>add_skip_layer</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/core_abstract.h</spec_file> + <description> + This object adds a new layer to a deep neural network which draws its input + from a <a href="#add_tag_layer">tagged layer</a> rather than from + the immediate predecessor layer as is normally done. + + <p> + For a tutorial showing how to use tagging see the + <a href="dnn_introduction2_ex.cpp.html">dnn_introduction2_ex.cpp</a> + example program. + </p> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>layer</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/core_abstract.h</spec_file> + <description> + This global function references a <a href="#add_tag_layer">tagged layer</a> + inside a deep neural network object. + + <p> + For a tutorial showing how to use tagging see the + <a href="dnn_introduction2_ex.cpp.html">dnn_introduction2_ex.cpp</a> + example program. + </p> + </description> + <examples> + <example>dnn_introduction2_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>input</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/input_abstract.h</spec_file> + <description> + This is a simple input layer type for use in a deep neural network which + takes some kind of image as input and loads it into a network. + </description> + <examples> + <example>dnn_introduction_ex.cpp.html</example> + <example>dnn_introduction2_ex.cpp.html</example> + <example>dnn_inception_ex.cpp.html</example> + <example>dnn_imagenet_ex.cpp.html</example> + <example>dnn_imagenet_train_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>input_rgb_image</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/input_abstract.h</spec_file> + <description> + This is a simple input layer type for use in a deep neural network + which takes an RGB image as input and loads it into a network. It + is very similar to the <a href="#input">input layer</a> except that + it allows you to subtract the average color value from each color + channel when converting an image to a tensor. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>input_rgb_image_sized</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/input_abstract.h</spec_file> + <description> + This layer has an interface and behavior identical to <a href="#input_rgb_image">input_rgb_image</a> + except that it requires input images to have a particular size. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>input_rgb_image_pyramid</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/input_abstract.h</spec_file> + <description> + This input layer works with RGB images of type <tt>matrix<rgb_pixel></tt>. It is + identical to <a href="#input_rgb_image">input_rgb_image</a> except that it + outputs a tensor containing a <a href="imaging.html#create_tiled_pyramid">tiled image pyramid</a> + of each input image rather than a simple copy of each image. + This input layer is meant to be used with a loss layer such as the <a href="#loss_mmod_">MMOD loss layer</a>. + </description> + <examples> + <example>dnn_mmod_ex.cpp.html</example> + <example>dnn_mmod_find_cars_ex.cpp.html</example> + <example>dnn_mmod_find_cars2_ex.cpp.html</example> + <example>dnn_mmod_train_find_cars_ex.cpp.html</example> + <example>dnn_mmod_face_detection_ex.cpp.html</example> + <example>dnn_mmod_dog_hipsterizer.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>loss_mmod_</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/loss_abstract.h</spec_file> + <description> + This object is a <a href="dlib/dnn/loss_abstract.h.html#EXAMPLE_LOSS_LAYER_">loss layer</a> + for a deep neural network. In particular, it implements the Max Margin Object Detection + loss defined in the paper: + <blockquote><a href="http://arxiv.org/abs/1502.00046">Max-Margin Object Detection</a> by Davis E. King.</blockquote> + + This means you use this loss if you want to detect the locations of objects + in images. For example, here are some videos that uses loss_mmod to find cars: + + <center><youtube src="https://www.youtube.com/embed/4B3bzmxMAZU"/></center> + <br/> + <center><youtube src="https://www.youtube.com/embed/OHbJ7HhbG74"/></center> + + </description> + <examples> + <example>dnn_mmod_ex.cpp.html</example> + <example>dnn_mmod_find_cars_ex.cpp.html</example> + <example>dnn_mmod_find_cars2_ex.cpp.html</example> + <example>dnn_mmod_train_find_cars_ex.cpp.html</example> + <example>dnn_mmod_face_detection_ex.cpp.html</example> + <example>dnn_mmod_dog_hipsterizer.cpp.html</example> + <example>cnn_face_detector.py.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>loss_metric_</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/loss_abstract.h</spec_file> + <description> + This object is a <a href="dlib/dnn/loss_abstract.h.html#EXAMPLE_LOSS_LAYER_">loss layer</a> + for a deep neural network. In particular, it allows you to learn to map objects + into a vector space where objects sharing the same class label are close to + each other, while objects with different labels are far apart. + </description> + <examples> + <example>dnn_metric_learning_ex.cpp.html</example> + <example>dnn_metric_learning_on_images_ex.cpp.html</example> + <example>dnn_face_recognition_ex.cpp.html</example> + <example>face_recognition.py.html</example> + <example>face_clustering.py.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>loss_mean_squared_</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/loss_abstract.h</spec_file> + <description> + This object is a <a href="dlib/dnn/loss_abstract.h.html#EXAMPLE_LOSS_LAYER_">loss layer</a> + for a deep neural network. In particular, it implements the mean squared loss, which is + appropriate for regression problems. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>loss_mean_squared_multioutput_</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/loss_abstract.h</spec_file> + <description> + This object is a <a href="dlib/dnn/loss_abstract.h.html#EXAMPLE_LOSS_LAYER_">loss layer</a> + for a deep neural network. In particular, it implements the mean squared loss, which is + appropriate for regression problems. It is identical to the <a href="#loss_mean_squared_">loss_mean_squared_</a> + loss except this version supports multiple output values. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_layer</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/core_abstract.h</spec_file> + <description> + This is a function which tests if a layer object correctly implements + the <a href="dlib/dnn/layers_abstract.h.html#EXAMPLE_COMPUTATIONAL_LAYER_">documented contract</a> + for a computational layer in a deep neural network. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>resizable_tensor</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/tensor_abstract.h</spec_file> + <description> + This object represents a 4D array of float values, all stored contiguously + in memory. Importantly, it keeps two copies of the floats, one on the host + CPU side and another on the GPU device side. It automatically performs the + necessary host/device transfers to keep these two copies of the data in + sync. + + <p> + All transfers to the device happen asynchronously with respect to the + default CUDA stream so that CUDA kernel computations can overlap with data + transfers. However, any transfers from the device to the host happen + synchronously in the default CUDA stream. Therefore, you should perform + all your CUDA kernel launches on the default stream so that transfers back + to the host do not happen before the relevant computations have completed. + </p> + + <p> + If DLIB_USE_CUDA is not #defined then this object will not use CUDA at all. + Instead, it will simply store one host side memory block of floats. + </p> + + <p> + Finally, the convention in dlib code is to interpret the tensor as a set of + num_samples() 3D arrays, each of dimension k() by nr() by nc(). Also, + while this class does not specify a memory layout, the convention is to + assume that indexing into an element at coordinates (sample,k,nr,nc) can be + accomplished via: + <tt>host()[((sample*t.k() + k)*t.nr() + nr)*t.nc() + nc]</tt> + </p> + + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>alias_tensor</name> + <file>dlib/dnn.h</file> + <spec_file link="true">dlib/dnn/tensor_abstract.h</spec_file> + <description> + This object is a <a href="#resizable_tensor">tensor</a> that + aliases another tensor. That is, it doesn't have its own block of + memory but instead simply holds pointers to the memory of another + tensor object. It therefore allows you to efficiently break a tensor + into pieces and pass those pieces into functions. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>modularity</name> + <file>dlib/clustering.h</file> + <spec_file link="true">dlib/clustering/modularity_clustering_abstract.h</spec_file> + <description> + This function computes the modularity of a particular graph clustering. This + is a number that tells you how good the clustering is. In particular, it + is the measure optimized by the <a href="#newman_cluster">newman_cluster</a> + routine. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>newman_cluster</name> + <file>dlib/clustering.h</file> + <spec_file link="true">dlib/clustering/modularity_clustering_abstract.h</spec_file> + <description> + This function performs the clustering algorithm described in the paper + <blockquote>Modularity and community structure in networks by M. E. J. Newman.</blockquote> + In particular, this is a method for automatically clustering the nodes in a + graph into groups. The method is able to automatically determine the number + of clusters and does not have any parameters. In general, it is a very good + clustering technique. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>spectral_cluster</name> + <file>dlib/clustering.h</file> + <spec_file link="true">dlib/clustering/spectral_cluster_abstract.h</spec_file> + <description> + This function performs the clustering algorithm described in the paper + <blockquote>On spectral clustering: Analysis and an algorithm by Ng, Jordan, and Weiss.</blockquote> + </description> + <examples> + <example>kkmeans_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>bottom_up_cluster</name> + <file>dlib/clustering.h</file> + <spec_file link="true">dlib/clustering/bottom_up_cluster_abstract.h</spec_file> + <description> + This function runs a bottom up agglomerative clustering algorithm. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>segment_number_line</name> + <file>dlib/clustering.h</file> + <spec_file link="true">dlib/clustering/bottom_up_cluster_abstract.h</spec_file> + <description> + This routine clusters real valued scalars in essentially linear time. + It uses a combination of bottom up clustering and a simple greedy scan + to try and find the most compact set of ranges that contain all + given scalar values. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>chinese_whispers</name> + <file>dlib/clustering.h</file> + <spec_file link="true">dlib/clustering/chinese_whispers_abstract.h</spec_file> + <description> + This function performs the clustering algorithm described in the paper + <blockquote>Chinese Whispers - an Efficient Graph Clustering Algorithm and its + Application to Natural Language Processing Problems by Chris Biemann.</blockquote> + In particular, this is a method for automatically clustering the nodes in a + graph into groups. The method is able to automatically determine the number + of clusters. + </description> + <examples> + <example>dnn_face_recognition_ex.cpp.html</example> + <example>face_clustering.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_clusters_using_kmeans</name> + <file>dlib/clustering.h</file> + <spec_file link="true">dlib/svm/kkmeans_abstract.h</spec_file> + <description> + This is a simple linear kmeans clustering implementation. + It uses Euclidean distance to compare samples. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_clusters_using_angular_kmeans</name> + <file>dlib/clustering.h</file> + <spec_file link="true">dlib/svm/kkmeans_abstract.h</spec_file> + <description> + This is a simple linear kmeans clustering implementation. + To compare a sample to a cluster, it measures the angle between them + with respect to the origin. Therefore, it tries to find clusters + of points that all have small angles between each cluster member. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>nearest_center</name> + <file>dlib/clustering.h</file> + <spec_file link="true">dlib/svm/kkmeans_abstract.h</spec_file> + <description> + This function takes a list of cluster centers and a query vector + and identifies which cluster center is nearest to the query vector. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>pick_initial_centers</name> + <file>dlib/clustering.h</file> + <spec_file link="true">dlib/svm/kkmeans_abstract.h</spec_file> + <description> + This is a function that you can use to seed data clustering algorithms + like the <a href="#kkmeans">kkmeans</a> clustering method. What it + does is pick reasonable starting points for clustering by basically + trying to find a set of points that are all far away from each other. + </description> + <examples> + <example>kkmeans_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>ranking_pair</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/ranking_tools_abstract.h</spec_file> + <description> + This object is used to contain a ranking example. Therefore, ranking_pair + objects are used to represent training examples for learning-to-rank tasks, + such as those used by the <a href="#svm_rank_trainer">svm_rank_trainer</a>. + </description> + <examples> + <example>svm_rank_ex.cpp.html</example> + <example>svm_rank.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>kernel_matrix</name> + <file>dlib/svm.h</file> + <spec_file>dlib/svm/kernel_matrix_abstract.h</spec_file> + <description> + This is a simple set of functions that makes it easy to turn a kernel + object and a set of samples into a kernel matrix. It takes these two + things and returns a <a href="dlib/matrix/matrix_exp_abstract.h.html#matrix_exp">matrix expression</a> + that represents the kernel matrix. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_ranking_problem</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/ranking_tools_abstract.h</spec_file> + <description> + This function takes a set of training data for a learning-to-rank problem + and reports back if it could possibly be a well formed problem. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>count_ranking_inversions</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/ranking_tools_abstract.h</spec_file> + <description> + Given two sets of objects, X and Y, and an ordering relationship defined + between their elements, this function counts how many times we see an element + in the set Y ordered before an element in the set X. Additionally, this + routine executes efficiently in O(n*log(n)) time via the use of quick sort. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>mlp</name> + <file>dlib/mlp.h</file> + <spec_file>dlib/mlp/mlp_kernel_abstract.h</spec_file> + <description> + <p> + This object represents a multilayer layer perceptron network that is + trained using the back propagation algorithm. The training algorithm also + incorporates the momentum method. That is, each round of back propagation + training also adds a fraction of the previous update. This fraction + is controlled by the momentum term set in the constructor. + </p> + <p> + It is worth noting that a MLP is, in general, very inferior to modern + kernel algorithms such as the support vector machine. So if you haven't + tried any other techniques with your data you really should. + </p> + </description> + + <examples> + <example>mlp_ex.cpp.html</example> + </examples> + + <implementations> + <implementation> + <name>mlp_kernel_1</name> + <file>dlib/mlp/mlp_kernel_1.h</file> + <description> + This is implemented in the obvious way. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for mlp_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>krls</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/krls_abstract.h</spec_file> + <description> + This is an implementation of the kernel recursive least squares algorithm + described in the paper The Kernel Recursive Least Squares Algorithm by Yaakov Engel. + <p> + The long and short of this algorithm is that it is an online kernel based + regression algorithm. You give it samples (x,y) and it learns the function + f(x) == y. For a detailed description of the algorithm read the above paper. + </p> + <p> + Note that if you want to use the linear kernel then you would + be better off using the <a href="#rls">rls</a> object as it + is optimized for this case. + </p> + </description> + + <examples> + <example>krls_ex.cpp.html</example> + <example>krls_filter_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rls</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/rls_abstract.h</spec_file> + <description> + This is an implementation of the linear version of the recursive least + squares algorithm. It accepts training points incrementally and, at + each step, maintains the solution to the following optimization problem: + <blockquote> + find w minimizing: 0.5*dot(w,w) + C*sum_i(y_i - trans(x_i)*w)^2 + </blockquote> + Where (x_i,y_i) are training pairs. x_i is some vector and y_i is a target + scalar value. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svm_pegasos</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/pegasos_abstract.h</spec_file> + <description> + This object implements an online algorithm for training a support + vector machine for solving binary classification problems. + + <p> + The implementation of the Pegasos algorithm used by this object is based + on the following excellent paper: + <blockquote> + Pegasos: Primal estimated sub-gradient solver for SVM (2007) + by Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro + In ICML + </blockquote> + </p> + <p> + This SVM training algorithm has two interesting properties. First, the + pegasos algorithm itself converges to the solution in an amount of time + unrelated to the size of the training set (in addition to being quite fast + to begin with). This makes it an appropriate algorithm for learning from + very large datasets. Second, this object uses the <a href="#kcentroid">kcentroid</a> object + to maintain a sparse approximation of the learned decision function. + This means that the number of support vectors in the resulting decision + function is also unrelated to the size of the dataset (in normal SVM + training algorithms, the number of support vectors grows approximately + linearly with the size of the training set). + </p> + <p> + However, if you are considering using svm_pegasos, you should also try the + <a href="#svm_c_linear_trainer">svm_c_linear_trainer</a> for linear + kernels or <a href="#svm_c_ekm_trainer">svm_c_ekm_trainer</a> for non-linear + kernels since these other trainers are, usually, faster and easier to use + than svm_pegasos. + </p> + </description> + + <examples> + <example>svm_pegasos_ex.cpp.html</example> + <example>svm_sparse_ex.cpp.html</example> + <example>svm_binary_classifier.py.html</example> + </examples> + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>kkmeans</name> + <file>dlib/clustering.h</file> + <spec_file link="true">dlib/svm/kkmeans_abstract.h</spec_file> + <description> + This is an implementation of a kernelized k-means clustering algorithm. + It performs k-means clustering by using the <a href="#kcentroid">kcentroid</a> object. + <p> + If you want to use the linear kernel (i.e. do a normal k-means clustering) then you + should use the <a href="#find_clusters_using_kmeans">find_clusters_using_kmeans</a> routine. + </p> + </description> + + <examples> + <example>kkmeans_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>vector_normalizer</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This object represents something that can learn to normalize a set + of column vectors. In particular, normalized column vectors should + have zero mean and a variance of one. + </description> + + <examples> + <example>svm_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>vector_normalizer_frobmetric</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/vector_normalizer_frobmetric_abstract.h</spec_file> + <description> + This object is a tool for performing the FrobMetric distance metric + learning algorithm described in the following paper: + <blockquote> + A Scalable Dual Approach to Semidefinite Metric Learning + By Chunhua Shen, Junae Kim, Lei Wang, in CVPR 2011 + </blockquote> + Therefore, this object is a tool that takes as input training triplets + (anchor, near, far) of vectors and attempts to learn a linear + transformation T such that: + <blockquote> <tt>length(T*anchor-T*near) + 1 < length(T*anchor - T*far)</tt> </blockquote> + That is, you give a bunch of anchor vectors and for each anchor vector you + specify some vectors which should be near to it and some that should be far + form it. This object then tries to find a transformation matrix that makes + the "near" vectors close to their anchors while the "far" vectors are + farther away. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>compute_lda_transform</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/lda_abstract.h</spec_file> + <description> + This function performs the dimensionality reducing version of linear + discriminant analysis. That is, you give it a set of labeled vectors and it + returns a linear transform that maps the input vectors into a new space that + is good for distinguishing between the different classes. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>discriminant_pca</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/dpca_abstract.h</spec_file> + <description> + This object implements the Discriminant PCA technique described in the paper: + <blockquote> + A New Discriminant Principal Component Analysis Method with Partial Supervision (2009) + by Dan Sun and Daoqiang Zhang + </blockquote> + This algorithm is basically a straightforward generalization of the classical PCA + technique to handle partially labeled data. It is useful if you want to learn a linear + dimensionality reduction rule using a bunch of data that is partially labeled. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sammon_projection</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/sammon_abstract.h</spec_file> + <description> + This is a function object that computes the Sammon projection of a set + of N points in a L-dimensional vector space onto a d-dimensional space + (d < L), according to the paper: + <blockquote> + A Nonlinear Mapping for Data Structure Analysis (1969) by J.W. Sammon + </blockquote> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cca</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/cca_abstract.h</spec_file> + <description> + This function performs a canonical correlation analysis between two sets + of vectors. Additionally, it is designed to be very fast, even for large + datasets of over a million high dimensional vectors. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>vector_normalizer_pca</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file> + <description> + This object represents something that can learn to normalize a set + of column vectors. In particular, normalized column vectors should + have zero mean and a variance of one. + + This object also uses principal component analysis for the purposes + of reducing the number of elements in a vector. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>linearly_independent_subset_finder</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/linearly_independent_subset_finder_abstract.h</spec_file> + <description> + <p> + This is an implementation of an online algorithm for recursively finding a + set (aka dictionary) of linearly independent vectors in a kernel induced + feature space. To use it you decide how large you would like the dictionary + to be and then you feed it sample points. + </p> + <p> + The implementation uses the Approximately Linearly Dependent metric described + in the paper The Kernel Recursive Least Squares Algorithm by Yaakov Engel to + decide which points are more linearly independent than others. The metric is + simply the squared distance between a test point and the subspace spanned by + the set of dictionary vectors. + </p> + <p> + Each time you present this object with a new sample point + it calculates the projection distance and if it is sufficiently large then this + new point is included into the dictionary. Note that this object can be configured + to have a maximum size. Once the max dictionary size is reached each new point + kicks out a previous point. This is done by removing the dictionary vector that + has the smallest projection distance onto the others. That is, the "least linearly + independent" vector is removed to make room for the new one. + </p> + </description> + <examples> + <example>empirical_kernel_map_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>fill_lisf</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/linearly_independent_subset_finder_abstract.h</spec_file> + <description> + This is a simple function for filling a + <a href="#linearly_independent_subset_finder">linearly_independent_subset_finder</a> + with data points by using random sampling. + </description> + <examples> + <example>empirical_kernel_map_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>sort_basis_vectors</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/sort_basis_vectors_abstract.h</spec_file> + <description> + A kernel based learning method ultimately needs to select a set of basis functions + represented by a particular choice of kernel and a set of basis vectors. + sort_basis_vectors() is a function which attempts to perform supervised + basis set selection. In particular, you give it a candidate set of basis + vectors and it sorts them according to how useful they are for solving + a particular decision problem. + </description> + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>rank_unlabeled_training_samples</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/active_learning_abstract.h</spec_file> + <description> + This routine implements an active learning method for selecting the most + informative data sample to label out of a set of unlabeled samples. + In particular, it implements the MaxMin Margin and Ratio Margin methods + described in the paper: + <blockquote> + Support Vector Machine Active Learning with Applications to Text Classification + by Simon Tong and Daphne Koller. + </blockquote> + </description> + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>linear_manifold_regularizer</name> + <file>dlib/manifold_regularization.h</file> + <spec_file link="true">dlib/manifold_regularization/linear_manifold_regularizer_abstract.h</spec_file> + <description> + <p> + Many learning algorithms attempt to minimize a function that, at a high + level, looks like this: +<pre> + f(w) == complexity + training_set_error +</pre> + </p> + + <p> + The idea is to find the set of parameters, w, that gives low error on + your training data but also is not "complex" according to some particular + measure of complexity. This strategy of penalizing complexity is + usually called regularization. + </p> + + <p> + In the above setting, all the training data consists of labeled samples. + However, it would be nice to be able to benefit from unlabeled data. + The idea of manifold regularization is to extract useful information from + unlabeled data by first defining which data samples are "close" to each other + (perhaps by using their 3 <a href="graph_tools.html#find_k_nearest_neighbors">nearest neighbors</a>) + and then adding a term to + the above function that penalizes any decision rule which produces + different outputs on data samples which we have designated as being close. + </p> + + <p> + It turns out that it is possible to transform these manifold regularized learning + problems into the normal form shown above by applying a certain kind of + preprocessing to all our data samples. Once this is done we can use a + normal learning algorithm, such as the <a href="#svm_c_linear_trainer">svm_c_linear_trainer</a>, + on just the + labeled data samples and obtain the same output as the manifold regularized + learner would have produced. + </p> + + <p> + The linear_manifold_regularizer is a tool for creating this preprocessing + transformation. In particular, the transformation is linear. That is, it + is just a matrix you multiply with all your samples. For a more detailed + discussion of this topic you should consult the following paper. In + particular, see section 4.2. This object computes the inverse T matrix + described in that section. + <blockquote> + Linear Manifold Regularization for Large Scale Semi-supervised Learning + by Vikas Sindhwani, Partha Niyogi, and Mikhail Belkin + </blockquote> + </p> + + </description> + <examples> + <example>linear_manifold_regularizer_ex.cpp.html</example> + </examples> + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>empirical_kernel_map</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/empirical_kernel_map_abstract.h</spec_file> + <description> + <p> + This object represents a map from objects of sample_type (the kind of object + a <a href="dlib/svm/kernel_abstract.h.html#Kernel_Function_Objects">kernel function</a> + operates on) to finite dimensional column vectors which + represent points in the kernel feature space defined by whatever kernel + is used with this object. + </p> + + <p> + To use the empirical_kernel_map you supply it with a particular kernel and a set of + basis samples. After that you can present it with new samples and it will project + them into the part of kernel feature space spanned by your basis samples. + </p> + + <p> + This means the empirical_kernel_map is a tool you can use to very easily kernelize + any algorithm that operates on column vectors. All you have to do is select a + set of basis samples and then use the empirical_kernel_map to project all your + data points into the part of kernel feature space spanned by those basis samples. + Then just run your normal algorithm on the output vectors and it will be effectively + kernelized. + </p> + + <p> + Regarding methods to select a set of basis samples, if you are working with only a + few thousand samples then you can just use all of them as basis samples. + Alternatively, the + <a href="#linearly_independent_subset_finder">linearly_independent_subset_finder</a> + often works well for selecting a basis set. I also find that picking a + <a href="algorithms.html#random_subset_selector">random subset</a> typically works well. + </p> + </description> + <examples> + <example>empirical_kernel_map_ex.cpp.html</example> + <example>linear_manifold_regularizer_ex.cpp.html</example> + </examples> + </component> + + + <!-- ************************************************************************* --> + + + <component> + <name>kcentroid</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/kcentroid_abstract.h</spec_file> + <description> + + This object represents a weighted sum of sample points in a kernel induced + feature space. It can be used to kernelize any algorithm that requires only + the ability to perform vector addition, subtraction, scalar multiplication, + and inner products. + + <p> + An example use of this object is as an online algorithm for recursively estimating + the centroid of a sequence of training points. This object then allows you to + compute the distance between the centroid and any test points. So you can use + this object to predict how similar a test point is to the data this object has + been trained on (larger distances from the centroid indicate dissimilarity/anomalous + points). + </p> + + <p> + The object internally keeps a set of "dictionary vectors" + that are used to represent the centroid. It manages these vectors using the + sparsification technique described in the paper The Kernel Recursive Least + Squares Algorithm by Yaakov Engel. This technique allows us to keep the + number of dictionary vectors down to a minimum. In fact, the object has a + user selectable tolerance parameter that controls the trade off between + accuracy and number of stored dictionary vectors. + </p> + + </description> + + <examples> + <example>kcentroid_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>train_probabilistic_decision_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + <p> + Trains a <a href="#probabilistic_function">probabilistic_function</a> using + some sort of binary classification trainer object such as the <a href="#svm_nu_trainer">svm_nu_trainer</a> or + <a href="#krr_trainer">krr_trainer</a>. + </p> + The probability model is created by using the technique described in the following papers: + <blockquote> + Probabilistic Outputs for Support Vector Machines and + Comparisons to Regularized Likelihood Methods by + John C. Platt. March 26, 1999 + </blockquote> + <blockquote> + A Note on Platt's Probabilistic Outputs for Support Vector Machines + by Hsuan-Tien Lin, Chih-Jen Lin, and Ruby C. Weng + </blockquote> + </description> + <examples> + <example>svm_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>learn_platt_scaling</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + + <p> + This function is an implementation of the algorithm described in the following + papers: + <blockquote> + Probabilistic Outputs for Support Vector Machines and Comparisons to + Regularized Likelihood Methods by John C. Platt. March 26, 1999 + <br/> + <br/> + A Note on Platt's Probabilistic Outputs for Support Vector Machines + by Hsuan-Tien Lin, Chih-Jen Lin, and Ruby C. Weng + </blockquote> + </p> + <p> + This function is the tool used to implement the + <a href="#train_probabilistic_decision_function">train_probabilistic_decision_function</a> routine. + </p> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>probabilistic</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + This is a trainer adapter which simply runs the trainer it is given though the + <a href="#train_probabilistic_decision_function">train_probabilistic_decision_function</a> + function. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rbf_network_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/rbf_network_abstract.h</spec_file> + <description> + Trains a radial basis function network and outputs a <a href="#decision_function">decision_function</a>. + This object can be used for either regression or binary classification problems. + It's worth pointing out that this object is essentially an unregularized version + of <a href="#krr_trainer">kernel ridge regression</a>. This means + you should really prefer to use kernel ridge regression instead. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>random_forest_regression_trainer</name> + <file>dlib/random_forest.h</file> + <spec_file link="true">dlib/random_forest/random_forest_regression_abstract.h</spec_file> + <description> + This object implements Breiman's classic random forest regression + algorithm. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>random_forest_regression_function</name> + <file>dlib/random_forest.h</file> + <spec_file link="true">dlib/random_forest/random_forest_regression_abstract.h</spec_file> + <description> + This object represents a random forest that maps objects to real numbers. You + can learn its parameters using the <a href="#random_forest_regression_trainer">random_forest_regression_trainer</a>. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rvm_regression_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/rvm_abstract.h</spec_file> + <description> + <p> + Trains a relevance vector machine for solving regression problems. + Outputs a <a href="#decision_function">decision_function</a> that represents the learned + regression function. + </p> + The implementation of the RVM training algorithm used by this library is based + on the following paper: + <blockquote> + Tipping, M. E. and A. C. Faul (2003). Fast marginal likelihood maximisation + for sparse Bayesian models. In C. M. Bishop and B. J. Frey (Eds.), Proceedings + of the Ninth International Workshop on Artificial Intelligence and Statistics, + Key West, FL, Jan 3-6. + </blockquote> + </description> + <examples> + <example>rvm_regression_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>rvm_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/rvm_abstract.h</spec_file> + <description> + <p> + Trains a relevance vector machine for solving binary classification problems. + Outputs a <a href="#decision_function">decision_function</a> that represents the learned classifier. + </p> + The implementation of the RVM training algorithm used by this library is based + on the following paper: + <blockquote> + Tipping, M. E. and A. C. Faul (2003). Fast marginal likelihood maximisation + for sparse Bayesian models. In C. M. Bishop and B. J. Frey (Eds.), Proceedings + of the Ninth International Workshop on Artificial Intelligence and Statistics, + Key West, FL, Jan 3-6. + </blockquote> + </description> + <examples> + <example>rvm_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>krr_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/krr_trainer_abstract.h</spec_file> + <description> + <p> + Performs kernel ridge regression and outputs a <a href="#decision_function">decision_function</a> that + represents the learned function. + </p> + The implementation is done using the <a href="#empirical_kernel_map">empirical_kernel_map</a> and + <a href="#linearly_independent_subset_finder">linearly_independent_subset_finder</a> to kernelize + the <a href="#rr_trainer">rr_trainer</a> object. Thus it allows you to run the algorithm on large + datasets and obtain sparse outputs. It is also capable of automatically estimating its + regularization parameter using leave-one-out cross-validation. + </description> + <examples> + <example>krr_regression_ex.cpp.html</example> + <example>krr_classification_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>rr_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/rr_trainer_abstract.h</spec_file> + <description> + <p> + Performs linear ridge regression and outputs a <a href="#decision_function">decision_function</a> that + represents the learned function. In particular, this object can only be used with + the <a href="#linear_kernel">linear_kernel</a>. It is optimized for the linear case where + the number of features in each sample vector is small (i.e. on the order of 1000 or less since the + algorithm is cubic in the number of features.). + If you want to use a nonlinear kernel then you should use the <a href="#krr_trainer">krr_trainer</a>. + </p> + This object is capable of automatically estimating its regularization parameter using + leave-one-out cross-validation. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svr_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svr_trainer_abstract.h</spec_file> + <description> + <p> + This object implements a trainer for performing epsilon-insensitive support + vector regression. It is implemented using the <a href="optimization.html#solve_qp3_using_smo">SMO</a> algorithm, + allowing the use of non-linear kernels. + If you are interested in performing support vector regression with a linear kernel and you + have a lot of training data then you should use the <a href="#svr_linear_trainer">svr_linear_trainer</a> + which is highly optimized for this case. + </p> + The implementation of the eps-SVR training algorithm used by this object is based + on the following paper: + <ul> + <li>Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector + machines, 2001. Software available at + <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm">http://www.csie.ntu.edu.tw/~cjlin/libsvm</a></li> + </ul> + </description> + <examples> + <example>svr_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svr_linear_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svr_linear_trainer_abstract.h</spec_file> + <description> + This object implements a trainer for performing epsilon-insensitive support + vector regression. It uses the <a href="optimization.html#oca">oca</a> + optimizer so it is very efficient at solving this problem when + linear kernels are used, making it suitable for use with large + datasets. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svm_nu_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_nu_trainer_abstract.h</spec_file> + <description> + <p> + Trains a nu support vector machine for solving binary classification problems and + outputs a <a href="#decision_function">decision_function</a>. + It is implemented using the <a href="optimization.html#solve_qp2_using_smo">SMO</a> algorithm. + </p> + The implementation of the nu-svm training algorithm used by this library is based + on the following excellent papers: + <ul> + <li>Chang and Lin, Training {nu}-Support Vector Classifiers: Theory and Algorithms</li> + <li>Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector + machines, 2001. Software available at + <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm">http://www.csie.ntu.edu.tw/~cjlin/libsvm</a></li> + </ul> + </description> + <examples> + <example>svm_ex.cpp.html</example> + <example>model_selection_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svm_one_class_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_one_class_trainer_abstract.h</spec_file> + <description> + <p> + Trains a one-class support vector classifier and outputs a <a href="#decision_function">decision_function</a>. + It is implemented using the <a href="optimization.html#solve_qp3_using_smo">SMO</a> algorithm. + </p> + The implementation of the one-class training algorithm used by this library is based + on the following paper: + <ul> + <li>Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector + machines, 2001. Software available at + <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm">http://www.csie.ntu.edu.tw/~cjlin/libsvm</a></li> + </ul> + </description> + <examples> + <example>one_class_classifiers_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svm_c_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_c_trainer_abstract.h</spec_file> + <description> + <p> + Trains a C support vector machine for solving binary classification problems + and outputs a <a href="#decision_function">decision_function</a>. + It is implemented using the <a href="optimization.html#solve_qp3_using_smo">SMO</a> algorithm. + </p> + The implementation of the C-SVM training algorithm used by this library is based + on the following paper: + <ul> + <li>Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector + machines, 2001. Software available at + <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm">http://www.csie.ntu.edu.tw/~cjlin/libsvm</a></li> + </ul> + </description> + <examples> + <example>svm_c_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svm_c_linear_dcd_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_c_linear_dcd_trainer_abstract.h</spec_file> + <description> + This object represents a tool for training the C formulation of + a support vector machine to solve binary classification problems. + It is optimized for the case where linear kernels are used and + is implemented using the method described in the + following paper: + <blockquote> + A Dual Coordinate Descent Method for Large-scale Linear SVM + by Cho-Jui Hsieh, Kai-Wei Chang, and Chih-Jen Lin + </blockquote> + + This trainer has the ability to disable the bias term and also + to force the last element of the learned weight vector to be 1. + Additionally, it can be warm-started from the solution to a previous + training run. + </description> + <examples> + <example>one_class_classifiers_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svm_c_linear_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_c_linear_trainer_abstract.h</spec_file> + <description> + This object represents a tool for training the C formulation of + a support vector machine to solve binary classification problems. + It is optimized for the case where linear kernels are used and + is implemented using the <a href="optimization.html#oca">oca</a> + optimizer and uses the exact line search described in the + following paper: + <blockquote> + Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization + by Vojtech Franc, Soren Sonnenburg; Journal of Machine Learning + Research, 10(Oct):2157--2192, 2009. + </blockquote> + + This trainer has the ability to restrict the learned weights to non-negative + values. + </description> + <examples> + <example>svm_sparse_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svm_rank_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_rank_trainer_abstract.h</spec_file> + <description> + This object represents a tool for training a ranking support vector machine + using linear kernels. In particular, this object is a tool for training + the Ranking SVM described in the paper: + <blockquote> + Optimizing Search Engines using Clickthrough Data by Thorsten Joachims + </blockquote> + Finally, note that the implementation of this object is done using the + <a href="optimization.html#oca">oca</a> optimizer and + <a href="#count_ranking_inversions">count_ranking_inversions</a> method. + This means that it runs in O(n*log(n)) time, making it suitable for use + with large datasets. + </description> + <examples> + <example>svm_rank_ex.cpp.html</example> + <example>svm_rank.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>shape_predictor_trainer</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/shape_predictor_trainer_abstract.h</spec_file> + <description> + This object is a tool for training <a href="imaging.html#shape_predictor">shape_predictors</a> + based on annotated training images. Its implementation uses the algorithm described in: + <blockquote> + One Millisecond Face Alignment with an Ensemble of Regression Trees + by Vahid Kazemi and Josephine Sullivan, CVPR 2014 + </blockquote> + It is capable of learning high quality shape models. For example, this is an example output + for one of the faces in the HELEN face dataset: <br/><br/> + <img src='face_landmarking_example.png'/> + + </description> + <examples> + <example>train_shape_predictor_ex.cpp.html</example> + <example>train_shape_predictor.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svm_c_ekm_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_c_ekm_trainer_abstract.h</spec_file> + <description> + This object represents a tool for training the C formulation of + a support vector machine for solving binary classification problems. + It is implemented using the <a href="#empirical_kernel_map">empirical_kernel_map</a> + to kernelize the <a href="#svm_c_linear_trainer">svm_c_linear_trainer</a>. This makes it a very fast algorithm + capable of learning from very large datasets. + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>normalized_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/function_abstract.h</spec_file> + <description> + This object represents a container for another function + object and an instance of the <a href="#vector_normalizer">vector_normalizer</a> object. + + It automatically normalizes all inputs before passing them + off to the contained function object. + </description> + <examples> + <example>svm_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>probabilistic_decision_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/function_abstract.h</spec_file> + <description> + This object represents a binary decision function for use with + kernel-based learning-machines. It returns an + estimate of the probability that a given sample is in the +1 class. + </description> + <examples> + <example>svm_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>probabilistic_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/function_abstract.h</spec_file> + <description> + This object represents a binary decision function for use with + any kind of binary classifier. It returns an + estimate of the probability that a given sample is in the +1 class. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>distance_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/function_abstract.h</spec_file> + <description> + This object represents a point in kernel induced feature space. + You may use this object to find the distance from the point it + represents to points in input space as well as other points + represented by distance_functions. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>decision_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/function_abstract.h</spec_file> + <description> + This object represents a classification or regression function that was + learned by a kernel based learning algorithm. Therefore, it is a function + object that takes a sample object and returns a scalar value. + </description> + <examples> + <example>svm_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>one_vs_one_decision_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/one_vs_one_decision_function_abstract.h</spec_file> + <description> + This object represents a multiclass classifier built out + of a set of binary classifiers. Each binary classifier + is used to vote for the correct multiclass label using a + one vs. one strategy. Therefore, if you have N classes then + there will be N*(N-1)/2 binary classifiers inside this object. + </description> + <examples> + <example>multiclass_classification_ex.cpp.html</example> + <example>custom_trainer_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>one_vs_one_trainer</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/one_vs_one_trainer_abstract.h</spec_file> + <description> + This object is a tool for turning a bunch of binary classifiers + into a multiclass classifier. It does this by training the binary + classifiers in a one vs. one fashion. That is, if you have N possible + classes then it trains N*(N-1)/2 binary classifiers which are then used + to vote on the identity of a test sample. + </description> + <examples> + <example>multiclass_classification_ex.cpp.html</example> + <example>custom_trainer_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>one_vs_all_decision_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/one_vs_all_decision_function_abstract.h</spec_file> + <description> + This object represents a multiclass classifier built out + of a set of binary classifiers. Each binary classifier + is used to vote for the correct multiclass label using a + one vs. all strategy. Therefore, if you have N classes then + there will be N binary classifiers inside this object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sequence_labeler</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/sequence_labeler_abstract.h</spec_file> + <description> + This object is a tool for doing sequence labeling. In particular, + it is capable of representing sequence labeling models such as + those produced by Hidden Markov SVMs or Conditional Random fields. + See the following papers for an introduction to these techniques: + <blockquote> + Hidden Markov Support Vector Machines by + Y. Altun, I. Tsochantaridis, T. Hofmann + <br/> + Shallow Parsing with Conditional Random Fields by + Fei Sha and Fernando Pereira + </blockquote> + </description> + <examples> + <example>sequence_labeler_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sequence_segmenter</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/sequence_segmenter_abstract.h</spec_file> + <description> + This object is a tool for segmenting a sequence of objects into a set of + non-overlapping chunks. An example sequence segmentation task is to take + English sentences and identify all the named entities. In this example, + you would be using a sequence_segmenter to find all the chunks of + contiguous words which refer to proper names. + + <p> + Internally, the sequence_segmenter uses the BIO (Begin, Inside, Outside) or + BILOU (Begin, Inside, Last, Outside, Unit) sequence tagging model. + Moreover, it is implemented using a <a href="#sequence_labeler">sequence_labeler</a> + object and therefore sequence_segmenter objects are examples of + chain structured conditional random field style sequence + taggers. + </p> + </description> + <examples> + <example>sequence_segmenter.py.html</example> + <example>sequence_segmenter_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>assignment_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/assignment_function_abstract.h</spec_file> + <description> + This object is a tool for solving the optimal assignment problem given a + user defined method for computing the quality of any particular assignment. + </description> + <examples> + <example>assignment_learning_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>track_association_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/track_association_function_abstract.h</spec_file> + <description> + This object is a tool that helps you implement an object tracker. So for + example, if you wanted to track people moving around in a video then this + object can help. In particular, imagine you have a tool for detecting the + positions of each person in an image. Then you can run this person + detector on the video and at each time step, i.e. at each frame, you get a + set of person detections. However, that by itself doesn't tell you how + many people there are in the video and where they are moving to and from. + To get that information you need to figure out which detections match each + other from frame to frame. This is where the track_association_function + comes in. It performs the detection to track association. It will also do + some of the track management tasks like creating a new track when a + detection doesn't match any of the existing tracks. + + <p> + Internally, this object is implemented using the + <a href="#assignment_function">assignment_function</a> object. + In fact, it's really just a thin wrapper around assignment_function and + exists just to provide a more convenient interface to users doing detection + to track association. + </p> + </description> + <examples> + <example>learning_to_track_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>lspi</name> + <file>dlib/control.h</file> + <spec_file link="true">dlib/control/lspi_abstract.h</spec_file> + <description> + This object is an implementation of the reinforcement learning algorithm + described in the following paper: + <blockquote> + Lagoudakis, Michail G., and Ronald Parr. "Least-squares policy + iteration." The Journal of Machine Learning Research 4 (2003): + 1107-1149. + </blockquote> + + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>policy</name> + <file>dlib/control.h</file> + <spec_file link="true">dlib/control/approximate_linear_models_abstract.h</spec_file> + <description> + This is a policy (i.e. a control law) based on a linear function approximator. + You can use a tool like <a href="#lspi">lspi</a> to learn the parameters + of a policy. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>process_sample</name> + <file>dlib/control.h</file> + <spec_file link="true">dlib/control/approximate_linear_models_abstract.h</spec_file> + <description> + This object holds a training sample for a reinforcement learning algorithm + (e.g. <a href="#lspi">lspi</a>). + In particular, it contains a state, action, reward, next state sample from + some process. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>graph_labeler</name> + <file>dlib/graph_cuts.h</file> + <spec_file link="true">dlib/graph_cuts/graph_labeler_abstract.h</spec_file> + <description> + This object is a tool for labeling each node in a <a href="containers.html#graph">graph</a> + with a value of true or false, subject to a labeling consistency constraint between + nodes that share an edge. In particular, this object is useful for + representing a graph labeling model learned via some machine learning + method, such as the <a href="#structural_graph_labeling_trainer">structural_graph_labeling_trainer</a>. + </description> + <examples> + <example>graph_labeling_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>multiclass_linear_decision_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/function_abstract.h</spec_file> + <description> + This object represents a multiclass classifier built out of a set of + binary classifiers. Each binary classifier is used to vote for the + correct multiclass label using a one vs. all strategy. Therefore, + if you have N classes then there will be N binary classifiers inside + this object. Additionally, this object is linear in the sense that + each of these binary classifiers is a simple linear plane. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>one_vs_all_trainer</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/one_vs_all_trainer_abstract.h</spec_file> + <description> + This object is a tool for turning a bunch of binary classifiers + into a multiclass classifier. It does this by training the binary + classifiers in a one vs. all fashion. That is, if you have N possible + classes then it trains N binary classifiers which are then used + to vote on the identity of a test sample. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svm_multiclass_linear_trainer</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/svm_multiclass_linear_trainer_abstract.h</spec_file> + <description> + This object represents a tool for training a multiclass support + vector machine. It is optimized for the case where linear kernels + are used and implemented using the <a href="#structural_svm_problem">structural_svm_problem</a> + object. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>projection_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/function_abstract.h</spec_file> + <description> + This object represents a function that takes a data sample and projects + it into kernel feature space. The result is a real valued column vector that + represents a point in a kernel feature space. Instances of + this object are created using the + <a href="#empirical_kernel_map">empirical_kernel_map</a>. + </description> + <examples> + <example>linear_manifold_regularizer_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>offset_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/kernel_abstract.h</spec_file> + <description> + This object represents a kernel with a fixed value offset + added to it. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>linear_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/kernel_abstract.h</spec_file> + <description> + This object represents a linear function kernel for use with + kernel learning machines. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>histogram_intersection_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/kernel_abstract.h</spec_file> + <description> + This object represents a histogram intersection kernel for use with + kernel learning machines. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sigmoid_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/kernel_abstract.h</spec_file> + <description> + This object represents a sigmoid kernel for use with + kernel learning machines. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>polynomial_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/kernel_abstract.h</spec_file> + <description> + This object represents a polynomial kernel for use with + kernel learning machines. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>radial_basis_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/kernel_abstract.h</spec_file> + <description> + This object represents a radial basis function kernel for use with + kernel learning machines. + </description> + <examples> + <example>svm_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>sparse_histogram_intersection_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/sparse_kernel_abstract.h</spec_file> + <description> + This object represents a histogram intersection kernel kernel for use with + kernel learning machines that operate on + <a href="dlib/svm/sparse_vector_abstract.h.html#sparse_vectors">sparse vectors</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sparse_sigmoid_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/sparse_kernel_abstract.h</spec_file> + <description> + This object represents a sigmoid kernel for use with + kernel learning machines that operate on + <a href="dlib/svm/sparse_vector_abstract.h.html#sparse_vectors">sparse vectors</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sparse_linear_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/sparse_kernel_abstract.h</spec_file> + <description> + This object represents a linear kernel for use with + kernel learning machines that operate on + <a href="dlib/svm/sparse_vector_abstract.h.html#sparse_vectors">sparse vectors</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sparse_polynomial_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/sparse_kernel_abstract.h</spec_file> + <description> + This object represents a polynomial kernel for use with + kernel learning machines that operate on + <a href="dlib/svm/sparse_vector_abstract.h.html#sparse_vectors">sparse vectors</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sparse_radial_basis_kernel</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/sparse_kernel_abstract.h</spec_file> + <description> + This object represents a radial basis function kernel for use with + kernel learning machines that operate on + <a href="dlib/svm/sparse_vector_abstract.h.html#sparse_vectors">sparse vectors</a>. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>is_binary_classification_problem</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + This function simply takes two vectors, the first containing feature vectors and + the second containing labels, and reports back if the two could possibly + contain data for a well formed classification problem. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_sequence_labeling_problem</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + This function takes a set of training data for a sequence labeling problem + and reports back if it could possibly be a well formed sequence labeling problem. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_sequence_segmentation_problem</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + This function takes a set of training data for a sequence segmentation problem + and reports back if it could possibly be a well formed sequence segmentation problem. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_assignment_problem</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + This function takes a set of training data for an assignment problem + and reports back if it could possibly be a well formed assignment problem. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_track_association_problem</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + This function takes a set of training data for a track association learning problem + and reports back if it could possibly be a well formed track association problem. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_graph_labeling_problem</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_svm_graph_labeling_problem_abstract.h</spec_file> + <description> + This function takes a set of training data for a graph labeling problem + and reports back if it could possibly be a well formed problem. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_forced_assignment_problem</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + This function takes a set of training data for a forced assignment problem + and reports back if it could possibly be a well formed forced assignment problem. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_learning_problem</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + This function simply takes two vectors, the first containing feature vectors and + the second containing labels, and reports back if the two could possibly + contain data for a well formed learning problem. In this case it just means + that the two vectors have the same length and aren't empty. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>select_all_distinct_labels</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/multiclass_tools_abstract.h</spec_file> + <description> + This is a function which determines all distinct values present in a + std::vector and returns the result. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>simplify_linear_decision_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/simplify_linear_decision_function_abstract.h</spec_file> + <description> + This is a set of functions that takes various forms of linear <a href="#decision_function">decision functions</a> + and collapses them down so that they only compute a single dot product when invoked. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>randomize_samples</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + Randomizes the order of samples in a column vector containing sample data. + </description> + <examples> + <example>svm_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rank_features</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/feature_ranking_abstract.h</spec_file> + <description> + Finds a ranking of the top N (a user supplied parameter) features in a set of data + from a two class classification problem. It + does this by computing the distance between the centroids of both classes in kernel defined + feature space. Good features are then ones that result in the biggest separation between + the two centroids. + </description> + <examples> + <example>rank_features_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>load_mnist_dataset</name> + <file>dlib/data_io.h</file> + <spec_file>dlib/data_io/mnist_abstract.h</spec_file> + <description> + Loads the <a href="http://yann.lecun.com/exdb/mnist/">MNIST dataset</a> from disk. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>load_image_dataset</name> + <file>dlib/data_io.h</file> + <spec_file link="true">dlib/data_io/load_image_dataset_abstract.h</spec_file> + <description> + This is a function which loads the list of images indicated by an + <a href="#load_image_dataset_metadata">image dataset metadata file</a> + as well as the box locations for each image. It makes loading the + data necessary to train an <a href="imaging.html#object_detector">object_detector</a> + a little more convenient. + </description> + <examples> + <example>fhog_object_detector_ex.cpp.html</example> + <example>train_object_detector.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>load_image_dataset_metadata</name> + <file>dlib/data_io.h</file> + <spec_file link="true">dlib/data_io/image_dataset_metadata.h</spec_file> + <description> + dlib comes with a graphical tool for annotating images with + labeled rectangles. The tool produces an XML file containing these + annotations. Therefore, load_image_dataset_metadata() is a routine + for parsing these XML files. Note also that this is the metadata + format used by the image labeling tool included with dlib in the + tools/imglab folder. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>save_image_dataset_metadata</name> + <file>dlib/data_io.h</file> + <spec_file link="true">dlib/data_io/image_dataset_metadata.h</spec_file> + <description> + This routine is a tool for saving labeled image metadata to an + XML file. In particular, this routine saves the metadata into a + form which can be read by the <a href="#load_image_dataset_metadata">load_image_dataset_metadata</a> + routine. Note also that this is the metadata + format used by the image labeling tool included with dlib in the + tools/imglab folder. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>load_libsvm_formatted_data</name> + <file>dlib/data_io.h</file> + <spec_file link="true">dlib/data_io/libsvm_io_abstract.h</spec_file> + <description> + This is a function that loads the data from a file that uses + the LIBSVM format. It loads the data into a std::vector of + <a href="dlib/svm/sparse_vector_abstract.h.html#sparse_vectors">sparse vectors</a>. + If you want to load data into dense vectors (i.e. + dlib::matrix objects) then you can use the <a href="linear_algebra.html#sparse_to_dense">sparse_to_dense</a> + function to perform the conversion. Also, some LIBSVM formatted files number + their features beginning with 1 rather than 0. If this bothers you, then you + can fix it by using the <a href="#fix_nonzero_indexing">fix_nonzero_indexing</a> function + on the data after it is loaded. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>save_libsvm_formatted_data</name> + <file>dlib/data_io.h</file> + <spec_file link="true">dlib/data_io/libsvm_io_abstract.h</spec_file> + <description> + This is actually a pair of overloaded functions. Between the two of them + they let you save <a href="dlib/svm/sparse_vector_abstract.h.html#sparse_vectors">sparse</a> + or dense data vectors to file using the LIBSVM format. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>make_bounding_box_regression_training_data</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/shape_predictor_trainer_abstract.h</spec_file> + <description> + Suppose you have an object detector that can roughly locate objects in an + image. This means your detector draws boxes around objects, but these are + <i>rough</i> boxes in the sense that they aren't positioned super accurately. For + instance, HOG based detectors usually have a stride of 8 pixels. So the + positional accuracy is going to be, at best, +/-8 pixels. + + <p> + If you want to get better positional accuracy one easy thing to do is train a + <a href="#shape_predictor_trainer">shape_predictor</a> to give you the location + of the object's box. The make_bounding_box_regression_training_data() routine + helps you do this by creating an appropriate training dataset. + </p> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>fix_nonzero_indexing</name> + <file>dlib/data_io.h</file> + <spec_file link="true">dlib/data_io/libsvm_io_abstract.h</spec_file> + <description> + This is a simple function that takes a std::vector of + <a href="dlib/svm/sparse_vector_abstract.h.html#sparse_vectors">sparse vectors</a> + and makes sure they are zero-indexed (e.g. makes sure the first index value is zero). + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_gamma_with_big_centroid_gap</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/feature_ranking_abstract.h</spec_file> + <description> + This is a function that tries to pick a reasonable default value for the + gamma parameter of the <a href="#radial_basis_kernel">radial_basis_kernel</a>. It + picks the parameter that gives the largest separation between the centroids, in + kernel feature space, of two classes of data. + </description> + <examples> + <example>rank_features_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>compute_mean_squared_distance</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/feature_ranking_abstract.h</spec_file> + <description> + This is a function that simply finds the average squared distance between all + pairs of a set of data samples. It is often convenient to use the reciprocal + of this value as the estimate of the gamma parameter of the + <a href="#radial_basis_kernel">radial_basis_kernel</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>batch</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/pegasos_abstract.h</spec_file> + <description> + This is a convenience function for creating + <a href="#batch_trainer">batch_trainer</a> objects. + </description> + <examples> + <example>svm_pegasos_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>verbose_batch</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/pegasos_abstract.h</spec_file> + <description> + This is a convenience function for creating + <a href="#batch_trainer">batch_trainer</a> objects. This function + generates a batch_trainer that will print status messages to standard + output so that you can observe the progress of a training algorithm. + </description> + <examples> + <example>svm_pegasos_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>batch_cached</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/pegasos_abstract.h</spec_file> + <description> + This is a convenience function for creating + <a href="#batch_trainer">batch_trainer</a> objects that are setup + to use a kernel matrix cache. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>verbose_batch_cached</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/pegasos_abstract.h</spec_file> + <description> + This is a convenience function for creating + <a href="#batch_trainer">batch_trainer</a> objects. This function + generates a batch_trainer that will print status messages to standard + output so that you can observe the progress of a training algorithm. + It will also be configured to use a kernel matrix cache. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>batch_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/pegasos_abstract.h</spec_file> + <description> + This is a batch trainer object that is meant to wrap online trainer objects + that create <a href="#decision_function">decision_functions</a>. It + turns an online learning algorithm such as <a href="#svm_pegasos">svm_pegasos</a> + into a batch learning object. This allows you to use objects like + svm_pegasos with functions (e.g. <a href="#cross_validate_trainer">cross_validate_trainer</a>) + that expect batch mode training objects. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>null_trainer_type</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/null_trainer_abstract.h</spec_file> + <description> + This object is a simple tool for turning a <a href="#decision_function">decision_function</a> + (or any object with an interface compatible with decision_function) + into a trainer object that always returns the original decision + function when you try to train with it. + + <p> + dlib contains a few "training post processing" algorithms (e.g. + <a href="#reduced">reduced</a> and <a href="#reduced2">reduced2</a>). These tools + take in a trainer object, + tell it to perform training, and then they take the output decision + function and do some kind of post processing to it. The null_trainer_type + object is useful because you can use it to run an already + learned decision function through the training post processing + algorithms by turning a decision function into a null_trainer_type + and then giving it to a post processor. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>null_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/null_trainer_abstract.h</spec_file> + <description> + This is a convenience function for creating + <a href="#null_trainer_type">null_trainer_type</a> + objects. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>roc_c1_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/roc_trainer_abstract.h</spec_file> + <description> + This is a convenience function for creating + <a href="#roc_trainer_type">roc_trainer_type</a> objects that are + setup to pick a point on the ROC curve with respect to the +1 class. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>roc_c2_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/roc_trainer_abstract.h</spec_file> + <description> + This is a convenience function for creating + <a href="#roc_trainer_type">roc_trainer_type</a> objects that are + setup to pick a point on the ROC curve with respect to the -1 class. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>roc_trainer_type</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/roc_trainer_abstract.h</spec_file> + <description> + This object is a simple trainer post processor that allows you to + easily adjust the bias term in a trained decision_function object. + That is, this object lets you pick a point on the ROC curve and + it will adjust the bias term appropriately. + + <p> + So for example, suppose you wanted to set the bias term so that + the accuracy of your decision function on +1 labeled samples was 99%. + To do this you would use an instance of this object declared as follows: + <tt>roc_trainer_type<trainer_type>(your_trainer, 0.99, +1);</tt> + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>reduced_decision_function_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/reduced_abstract.h</spec_file> + <description> + This is a batch trainer object that is meant to wrap other batch trainer objects + that create <a href="#decision_function">decision_function</a> objects. + It performs post processing on the output decision_function objects + with the intent of representing the decision_function with fewer + basis vectors. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>reduced</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/reduced_abstract.h</spec_file> + <description> + This is a convenience function for creating + <a href="#reduced_decision_function_trainer">reduced_decision_function_trainer</a> + objects. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>reduced2</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/reduced_abstract.h</spec_file> + <description> + This is a convenience function for creating + <a href="#reduced_decision_function_trainer2">reduced_decision_function_trainer2</a> + objects. + </description> + <examples> + <example>svm_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>reduced_decision_function_trainer2</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/reduced_abstract.h</spec_file> + <description> + <p> + This is a batch trainer object that is meant to wrap other batch trainer objects + that create <a href="#decision_function">decision_function</a> objects. + It performs post processing on the output decision_function objects + with the intent of representing the decision_function with fewer + basis vectors. + </p> + <p> + It begins by performing the same post processing as + the <a href="#reduced_decision_function_trainer">reduced_decision_function_trainer</a> + object but it also performs a global gradient based optimization + to further improve the results. The gradient based optimization is + implemented using the <a href="#approximate_distance_function">approximate_distance_function</a> routine. + </p> + </description> + <examples> + <example>svm_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>approximate_distance_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/reduced_abstract.h</spec_file> + <description> + This function attempts to find a <a href="#distance_function">distance_function</a> object which is close + to a target distance_function. That is, it searches for an X such that target(X) is + minimized. Critically, X may be set to use fewer basis vectors than the target. + + <p>The optimization begins with an initial guess supplied by the user + and searches for an X which locally minimizes target(X). Since + this problem can have many local minima the quality of the starting point + can significantly influence the results. </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_binary_decision_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + Tests a <a href="#decision_function">decision_function</a> that represents a binary decision function and + returns the test accuracy. + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_multiclass_decision_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_multiclass_trainer_abstract.h</spec_file> + <description> + Tests a multiclass decision function (e.g. <a href="#one_vs_one_decision_function">one_vs_one_decision_function</a>) + and returns a confusion matrix describing the results. + </description> + <examples> + <example>multiclass_classification_ex.cpp.html</example> + <example>custom_trainer_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>cross_validate_trainer_threaded</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/svm_threaded_abstract.h</spec_file> + <description> + Performs k-fold cross validation on a user supplied binary classification trainer object such + as the <a href="#svm_nu_trainer">svm_nu_trainer</a> or <a href="#rbf_network_trainer">rbf_network_trainer</a>. + This function does the same thing as <a href="#cross_validate_trainer">cross_validate_trainer</a> + except this function also allows you to specify how many threads of execution to use. + So you can use this function to take advantage of a multi-core system to perform + cross validation faster. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cross_validate_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/svm_abstract.h</spec_file> + <description> + Performs k-fold cross validation on a user supplied binary classification trainer object such + as the <a href="#svm_nu_trainer">svm_nu_trainer</a> or <a href="#rbf_network_trainer">rbf_network_trainer</a>. + </description> + <examples> + <example>svm_ex.cpp.html</example> + <example>model_selection_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cross_validate_multiclass_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_multiclass_trainer_abstract.h</spec_file> + <description> + Performs k-fold cross validation on a user supplied multiclass classification trainer object such + as the <a href="#one_vs_one_trainer">one_vs_one_trainer</a>. The result is described by a + confusion matrix. + </description> + <examples> + <example>multiclass_classification_ex.cpp.html</example> + <example>custom_trainer_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cross_validate_regression_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_regression_trainer_abstract.h</spec_file> + <description> + Performs k-fold cross validation on a user supplied regression trainer object such + as the <a href="#svr_trainer">svr_trainer</a> and returns the mean squared error + and R-squared value. + </description> + <examples> + <example>svr_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cross_validate_sequence_labeler</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_sequence_labeler_abstract.h</spec_file> + <description> + Performs k-fold cross validation on a user supplied sequence labeling trainer object such + as the <a href="#structural_sequence_labeling_trainer">structural_sequence_labeling_trainer</a> + and returns a confusion matrix describing the results. + </description> + <examples> + <example>sequence_labeler_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cross_validate_sequence_segmenter</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_sequence_segmenter_abstract.h</spec_file> + <description> + Performs k-fold cross validation on a user supplied sequence segmentation trainer object such + as the <a href="#structural_sequence_segmentation_trainer">structural_sequence_segmentation_trainer</a> + and returns the resulting precision, recall, and F1-score. + </description> + <examples> + <example>sequence_segmenter.py.html</example> + <example>sequence_segmenter_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cross_validate_assignment_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_assignment_trainer_abstract.h</spec_file> + <description> + Performs k-fold cross validation on a user supplied assignment trainer object such + as the <a href="#structural_assignment_trainer">structural_assignment_trainer</a> + and returns the fraction of assignments predicted correctly. + </description> + <examples> + <example>assignment_learning_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cross_validate_track_association_trainer</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/cross_validate_track_association_trainer_abstract.h</spec_file> + <description> + Performs k-fold cross validation on a user supplied track association trainer object such + as the <a href="#structural_track_association_trainer">structural_track_association_trainer</a> + and returns the fraction of detections which were correctly associated to their tracks. + </description> + <examples> + <example>learning_to_track_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cross_validate_graph_labeling_trainer</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/cross_validate_graph_labeling_trainer_abstract.h</spec_file> + <description> + Performs k-fold cross validation on a user supplied graph labeling trainer object such + as the <a href="#structural_graph_labeling_trainer">structural_graph_labeling_trainer</a> + and returns the fraction of assignments predicted correctly. + </description> + <examples> + <example>graph_labeling_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cross_validate_ranking_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/ranking_tools_abstract.h</spec_file> + <description> + Performs k-fold cross validation on a user supplied ranking trainer object such + as the <a href="#svm_rank_trainer">svm_rank_trainer</a> + and returns the fraction of ranking pairs ordered correctly as well as the mean + average precision. + </description> + <examples> + <example>svm_rank_ex.cpp.html</example> + <example>svm_rank.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_sequence_labeler</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_sequence_labeler_abstract.h</spec_file> + <description> + Tests a <a href="#sequence_labeler">sequence_labeler</a> on a set of data + and returns a confusion matrix describing the results. + </description> + <examples> + <example>sequence_labeler_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_sequence_segmenter</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_sequence_segmenter_abstract.h</spec_file> + <description> + Tests a <a href="#sequence_segmenter">sequence_segmenter</a> on a set of data + and returns the resulting precision, recall, and F1-score. + </description> + <examples> + <example>sequence_segmenter.py.html</example> + <example>sequence_segmenter_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_assignment_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_assignment_trainer_abstract.h</spec_file> + <description> + Tests an <a href="#assignment_function">assignment_function</a> on a set of data + and returns the fraction of assignments predicted correctly. + </description> + <examples> + <example>assignment_learning_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_track_association_function</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/cross_validate_track_association_trainer_abstract.h</spec_file> + <description> + Tests a <a href="#track_association_function">track_association_function</a> on a set of data + and returns the fraction of detections which were correctly associated to their tracks. + </description> + <examples> + <example>learning_to_track_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_graph_labeling_function</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/cross_validate_graph_labeling_trainer_abstract.h</spec_file> + <description> + Tests a <a href="#graph_labeler">graph_labeler</a> on a set of data + and returns the fraction of labels predicted correctly. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>average_precision</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/average_precision_abstract.h</spec_file> + <description> + This function computes the average precision of a ranking. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>equal_error_rate</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/lda_abstract.h</spec_file> + <description> + This function finds a threshold that best separates the elements of two + vectors by selecting the threshold with equal error rate. It also reports + the value of the equal error rate. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>compute_roc_curve</name> + <file>dlib/statistics.h</file> + <spec_file link="true">dlib/statistics/lda_abstract.h</spec_file> + <description> + This function computes a ROC curve (receiver operating characteristic curve). + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_ranking_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/ranking_tools_abstract.h</spec_file> + <description> + Tests a <a href="#decision_function">decision_function</a>'s ability to correctly + rank a dataset and returns the resulting ranking accuracy and mean average precision metrics. + </description> + <examples> + <example>svm_rank_ex.cpp.html</example> + <example>svm_rank.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_shape_predictor</name> + <file>dlib/image_processing.h</file> + <spec_file link="true">dlib/image_processing/shape_predictor_abstract.h</spec_file> + <description> + Tests a <a href="imaging.html#shape_predictor">shape_predictor</a>'s ability to correctly + predict the part locations of objects. The output is the average distance (measured in pixels) between + each part and its true location. You can optionally normalize each distance using a + user supplied scale. For example, when performing face landmarking, you might want to + normalize the distances by the interocular distance. + </description> + <examples> + <example>train_shape_predictor_ex.cpp.html</example> + <example>train_shape_predictor.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cross_validate_object_detection_trainer</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_object_detection_trainer_abstract.h</spec_file> + <description> + Performs k-fold cross validation on a user supplied object detection trainer such + as the <a href="#structural_object_detection_trainer">structural_object_detection_trainer</a> + and returns the precision and recall. + </description> + <examples> + <example>object_detector_ex.cpp.html</example> + <example>object_detector_advanced_ex.cpp.html</example> + <example>train_object_detector.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_object_detection_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_object_detection_trainer_abstract.h</spec_file> + <description> + Tests an object detector such + as the <a href="imaging.html#object_detector">object_detector</a> + and returns the precision and recall. + </description> + <examples> + <example>fhog_object_detector_ex.cpp.html</example> + <example>object_detector_ex.cpp.html</example> + <example>object_detector_advanced_ex.cpp.html</example> + <example>train_object_detector.cpp.html</example> + <example>dnn_mmod_ex.cpp.html</example> + <example>dnn_mmod_train_find_cars_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>test_regression_function</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/cross_validate_regression_trainer_abstract.h</spec_file> + <description> + Tests a regression function (e.g. <a href="#decision_function">decision_function</a>) + and returns the mean squared error and R-squared value. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_svm_problem</name> + <file>dlib/svm.h</file> + <spec_file link="true">dlib/svm/structural_svm_problem_abstract.h</spec_file> + <description> + This object, when used with the <a href="optimization.html#oca">oca</a> optimizer, is a tool + for solving the optimization problem associated + with a structural support vector machine. A structural SVM is a supervised + machine learning method for learning to predict complex outputs. This is + contrasted with a binary classifier which makes only simple yes/no + predictions. A structural SVM, on the other hand, can learn to predict + complex outputs such as entire parse trees or DNA sequence alignments. To + do this, it learns a function F(x,y) which measures how well a particular + data sample x matches a label y. When used for prediction, the best label + for a new x is given by the y which maximizes F(x,y). + + <br/> + <br/> + + For an introduction to structured support vector machines you should consult + the following paper: + <blockquote> + Predicting Structured Objects with Support Vector Machines by + Thorsten Joachims, Thomas Hofmann, Yisong Yue, and Chun-nam Yu + </blockquote> + + For a more detailed discussion of the particular algorithm implemented by this + object see the following paper: + <blockquote> + T. Joachims, T. Finley, Chun-Nam Yu, Cutting-Plane Training of Structural SVMs, + Machine Learning, 77(1):27-59, 2009. + </blockquote> + Note that this object is essentially a tool for solving the 1-Slack structural + SVM with margin-rescaling. Specifically, see Algorithm 3 in the above referenced + paper. + + <br/><br/> + Finally, for a very detailed introduction to this subject, you should consider the book: + <blockquote> + <i><a href="http://www.nowozin.net/sebastian/papers/nowozin2011structured-tutorial.pdf">Structured + Prediction and Learning in Computer Vision</a></i> by Sebastian Nowozin and + Christoph H. Lampert + </blockquote> + + </description> + <examples> + <example>svm_struct.py.html</example> + <example>svm_struct_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_svm_problem_threaded</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_svm_problem_threaded_abstract.h</spec_file> + <description> + This is just a version of the <a href="#structural_svm_problem">structural_svm_problem</a> + which is capable of using multiple cores/threads at a time. You should use it if + you have a multi-core CPU and the separation oracle takes a long time to compute. Or even better, if you + have multiple computers then you can use the <a href="#svm_struct_controller_node">svm_struct_controller_node</a> + to distribute the work across many computers. + </description> + <examples> + <example>svm_struct_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_svm_object_detection_problem</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_svm_object_detection_problem_abstract.h</spec_file> + <description> + This object is a tool for learning the parameter vector needed to use + a <a href="imaging.html#scan_fhog_pyramid">scan_fhog_pyramid</a>, + <a href="imaging.html#scan_image_pyramid">scan_image_pyramid</a>, + <a href="imaging.html#scan_image_boxes">scan_image_boxes</a>, or + <a href="imaging.html#scan_image_custom">scan_image_custom</a> object. + + <p> + It learns the parameter vector by formulating the problem as a <a + href="#structural_svm_problem">structural SVM problem</a>. + The exact details of the method are described in the paper + <a href="http://arxiv.org/abs/1502.00046">Max-Margin Object Detection</a> by Davis E. King. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_svm_sequence_labeling_problem</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_svm_sequence_labeling_problem_abstract.h</spec_file> + <description> + This object is a tool for learning the weight vector needed to use + a <a href="#sequence_labeler">sequence_labeler</a> object. + + It learns the parameter vector by formulating the problem as a + <a href="#structural_svm_problem">structural SVM problem</a>. + The general approach is discussed in the paper: + <blockquote> + Hidden Markov Support Vector Machines by + Y. Altun, I. Tsochantaridis, T. Hofmann + </blockquote> + While the particular optimization strategy used is the method from: + <blockquote> + T. Joachims, T. Finley, Chun-Nam Yu, Cutting-Plane Training of + Structural SVMs, Machine Learning, 77(1):27-59, 2009. + </blockquote> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_svm_assignment_problem</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_svm_assignment_problem_abstract.h</spec_file> + <description> + This object is a tool for learning the parameters needed to use + an <a href="#assignment_function">assignment_function</a> object. + It learns the parameters by formulating the problem as a + <a href="#structural_svm_problem">structural SVM problem</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_svm_graph_labeling_problem</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_svm_graph_labeling_problem_abstract.h</spec_file> + <description> + This object is a tool for learning the weight vectors needed to use + a <a href="#graph_labeler">graph_labeler</a> object. + It learns the parameter vectors by + formulating the problem as a <a href="#structural_svm_problem">structural SVM problem</a>. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_object_detection_trainer</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_object_detection_trainer_abstract.h</spec_file> + <description> + This object is a tool for learning to detect objects in images based on a set of labeled images. + The training procedure produces an <a href="imaging.html#object_detector">object_detector</a> which + can be used to predict the locations of objects in new images. + It learns the parameter vector by formulating the problem as a <a + href="#structural_svm_problem">structural SVM problem</a>. + The exact details of the method are described in the paper + <a href="http://arxiv.org/abs/1502.00046">Max-Margin Object Detection</a> by Davis E. King. + <p> + Note that this is just a convenience wrapper around the + <a href="#structural_svm_object_detection_problem">structural_svm_object_detection_problem</a> + to make it look similar to all the other trainers in dlib. + </p> + </description> + <examples> + <example>fhog_object_detector_ex.cpp.html</example> + <example>object_detector_ex.cpp.html</example> + <example>object_detector_advanced_ex.cpp.html</example> + <example>train_object_detector.cpp.html</example> + + <example>train_object_detector.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_sequence_labeling_trainer</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_sequence_labeling_trainer_abstract.h</spec_file> + <description> + This object is a tool for learning to do sequence labeling based + on a set of training data. The training procedure produces a + <a href="#sequence_labeler">sequence_labeler</a> object which can + be use to predict the labels of new data sequences. + <p> + Note that this is just a convenience wrapper around the + <a href="#structural_svm_sequence_labeling_problem">structural_svm_sequence_labeling_problem</a> + to make it look similar to all the other trainers in dlib. + </p> + </description> + <examples> + <example>sequence_labeler_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_sequence_segmentation_trainer</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_sequence_segmentation_trainer_abstract.h</spec_file> + <description> + This object is a tool for learning to do sequence segmentation based on a + set of training data. The training procedure produces a <a href="#sequence_segmenter">sequence_segmenter</a> + object which can be used to identify the sub-segments of new data sequences. + <p> + This object internally uses the <a href="#structural_sequence_labeling_trainer">structural_sequence_labeling_trainer</a> + to solve the learning problem. + </p> + </description> + <examples> + <example>sequence_segmenter.py.html</example> + <example>sequence_segmenter_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_graph_labeling_trainer</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_graph_labeling_trainer_abstract.h</spec_file> + <description> + This object is a tool for learning to solve a graph labeling problem based + on a training dataset of example labeled <a href="containers.html#graph">graphs</a>. + The training procedure produces a <a href="#graph_labeler">graph_labeler</a> object + which can be used to predict the labelings of new graphs. + + <p> + To elaborate, a graph labeling problem is a task to learn a binary classifier which + predicts the label of each node in a graph. Additionally, we have information in + the form of edges between nodes where edges are present when we believe the + linked nodes are likely to have the same label. Therefore, part of a graph labeling + problem is to learn to score each edge in terms of how strongly the edge should enforce + labeling consistency between its two nodes. + </p> + + <p> + Note that this is just a convenience wrapper around the + <a href="#structural_svm_graph_labeling_problem">structural_svm_graph_labeling_problem</a> + to make it look similar to all the other trainers in dlib. You might also + consider reading the book + <i><a href="http://www.nowozin.net/sebastian/papers/nowozin2011structured-tutorial.pdf">Structured + Prediction and Learning in Computer Vision</a></i> by Sebastian + Nowozin and Christoph H. Lampert since it contains a good introduction to machine learning + methods such as the algorithm implemented by the structural_graph_labeling_trainer. + </p> + </description> + <examples> + <example>graph_labeling_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_assignment_trainer</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_assignment_trainer_abstract.h</spec_file> + <description> + This object is a tool for learning to solve an assignment problem based + on a training dataset of example assignments. The training procedure produces an + <a href="#assignment_function">assignment_function</a> object which can be used + to predict the assignments of new data. + + + Note that this is just a convenience wrapper around the + <a href="#structural_svm_assignment_problem">structural_svm_assignment_problem</a> + to make it look similar to all the other trainers in dlib. + </description> + <examples> + <example>assignment_learning_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>structural_track_association_trainer</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_track_association_trainer_abstract.h</spec_file> + <description> + This object is a tool for learning to solve a track association problem. That + is, it takes in a set of training data and outputs a + <a href="#track_association_function">track_association_function</a> + you can use to do detection to track association. + </description> + <examples> + <example>learning_to_track_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svm_struct_controller_node</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_svm_distributed_abstract.h</spec_file> + <description> + This object is a tool for distributing the work involved in solving a + <a href="#structural_svm_problem">structural_svm_problem</a> across many computers. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>svm_struct_processing_node</name> + <file>dlib/svm_threaded.h</file> + <spec_file link="true">dlib/svm/structural_svm_distributed_abstract.h</spec_file> + <description> + This object is a tool for distributing the work involved in solving a + <a href="#structural_svm_problem">structural_svm_problem</a> across many computers. + </description> + + </component> + + <!-- ************************************************************************* --> + + </components> + + <!-- ************************************************************************* --> + + +</doc> + + diff --git a/ml/dlib/docs/docs/ml_guide.dia b/ml/dlib/docs/docs/ml_guide.dia Binary files differnew file mode 100644 index 000000000..1d66e5391 --- /dev/null +++ b/ml/dlib/docs/docs/ml_guide.dia diff --git a/ml/dlib/docs/docs/ml_guide.svg b/ml/dlib/docs/docs/ml_guide.svg new file mode 100644 index 000000000..d971f5e89 --- /dev/null +++ b/ml/dlib/docs/docs/ml_guide.svg @@ -0,0 +1,4345 @@ +<?xml version="1.0" encoding="UTF-8" standalone="no"?> +<svg + xmlns:dc="http://purl.org/dc/elements/1.1/" + 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</text> + </g> + <g + transform="matrix(0.57635848,0,0,0.57635848,-189.40544,-96.483777)" + id="g5774"> + <ellipse + sodipodi:ry="34.054901" + sodipodi:rx="87.774399" + sodipodi:cy="162.746" + sodipodi:cx="1138.3" + d="m 1226.0744,162.746 c 0,18.808 -39.2979,34.0549 -87.7744,34.0549 -48.4764,0 -87.7743,-15.2469 -87.7743,-34.0549 0,-18.808 39.2979,-34.0549 87.7743,-34.0549 48.4765,0 87.7744,15.2469 87.7744,34.0549 z" + style="fill:#ffffff" + cx="1138.3" + cy="162.746" + rx="87.774399" + ry="34.054901" + id="ellipse5776" /> + <ellipse + sodipodi:ry="34.054901" + sodipodi:rx="87.774399" + sodipodi:cy="162.746" + sodipodi:cx="1138.3" + d="m 1226.0744,162.746 c 0,18.808 -39.2979,34.0549 -87.7744,34.0549 -48.4764,0 -87.7743,-15.2469 -87.7743,-34.0549 0,-18.808 39.2979,-34.0549 87.7743,-34.0549 48.4765,0 87.7744,15.2469 87.7744,34.0549 z" + style="fill:none;stroke:#000057;stroke-width:2" + cx="1138.3" + cy="162.746" + rx="87.774399" + ry="34.054901" + id="ellipse5778" /> + <text + 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+ </text> + <text + id="text40452" + y="-163.95332" + x="207.23254" + style="font-size:7.13555813px;font-style:normal;font-weight:normal;text-anchor:start;fill:#000000;font-family:sans-serif" + font-size="12.8"> + <tspan + id="tspan40454" + y="-163.95332" + x="207.23254" /> + </text> + <text + id="text40456" + y="-163.95332" + x="207.23254" + style="font-size:7.13555813px;font-style:normal;font-weight:normal;text-anchor:start;fill:#000000;font-family:sans-serif" + font-size="12.8"> + <tspan + id="tspan40458" + y="-163.95332" + x="207.23254" /> + </text> + <text + id="text40460" + y="-163.95332" + x="207.23254" + style="font-size:7.13555813px;font-style:normal;font-weight:normal;text-anchor:start;fill:#000000;font-family:sans-serif" + font-size="12.8"> + <tspan + id="tspan40462" + y="-163.95332" + x="207.23254" /> + </text> + <text + id="text40464" + y="-163.95332" + x="207.23254" + 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x="21.561001">Samples</tspan> + </text> + </g> + <text + id="text40642" + y="-112.73492" + x="-116.2119" + style="font-size:7.38190126px;font-style:normal;font-weight:normal;text-align:center;text-anchor:middle;fill:#808000;font-family:sans-serif" + font-size="12.8"> + <tspan + id="tspan40644" + y="-112.73492" + x="-134.03767" + style="text-align:center;text-anchor:middle">NOT</tspan> + <tspan + id="tspan40646" + y="-103.50754" + x="-134.03767" + style="text-align:center;text-anchor:middle">WORKING</tspan> + </text> + <text + id="text40648" + y="-122.91808" + x="-180.65865" + style="font-size:7.38190126px;font-style:normal;font-weight:normal;text-anchor:start;fill:#008000;font-family:sans-serif" + font-size="12.8"> + <tspan + id="tspan40650" + y="-122.91808" + x="-180.65865">YES</tspan> + </text> + <text + id="text40662" + y="-57.442398" + x="-106.05607" + style="font-size:7.38190126px;font-style:normal;font-weight:normal;text-anchor:start;fill:#800000;font-family:sans-serif" + font-size="12.8"> + <tspan + id="tspan40664" + y="-57.442398" + x="-106.05607">NO</tspan> + </text> + <text + id="text40666" + y="-101.74" + x="-212.59938" + style="font-size:7.38190126px;font-style:normal;font-weight:normal;text-anchor:start;fill:#800000;font-family:sans-serif" + font-size="12.8"> + <tspan + id="tspan40668" + y="-101.74" + x="-212.59938">NO</tspan> + </text> + <text + id="text40670" + y="-104.63276" + x="-182.14595" + style="font-size:7.13555813px;font-style:normal;font-weight:normal;text-anchor:start;fill:#000000;font-family:sans-serif" + font-size="12.8"> + <tspan + id="tspan40672" + y="-104.63276" + x="-182.14595" /> + </text> + <g + id="g40674" + transform="matrix(0.57671105,0,0,0.57671105,-189.44156,-98.071115)"> + <ellipse + id="ellipse40676" + ry="43.008801" + rx="54.863201" + cy="29.567301" + cx="350.39999" + style="fill:#ffffff" + d="m 405.2632,29.567301 c 0,23.753104 -24.5631,43.0088 -54.86321,43.0088 -30.30011,0 -54.8632,-19.255696 -54.8632,-43.0088 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</section> + + <section> + <name>BSP</name> + <item>bsp_connect</item> + <item>bsp_listen</item> + <item>bsp_listen_dynamic_port</item> + <item>bsp_context</item> + </section> + + </top> + + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + + <!-- ************************************************************************* --> + + <component> + <name>linker</name> + <file>dlib/linker.h</file> + <spec_file>dlib/linker/linker_kernel_abstract.h</spec_file> + <description> + This object represents something that takes two connections and lets + them talk to each other. ie. any incoming data from one connection is + passed unaltered to the other and vice versa. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>bridge</name> + <file>dlib/bridge.h</file> + <spec_file link="true">dlib/bridge/bridge_abstract.h</spec_file> + <description> + This object is a tool for bridging a <a href="other.html#pipe">pipe</a> object between + two network connected applications. + + <p> + The bridge object is designed to link two pipes together as efficiently as + possible. To demonstrate its speed, I ran two experiments where a bridge was + used to connect a desktop PC to a laptop, both running Ubuntu 12.04 and + connected via gigabit ethernet. The first experiment is to test its bulk + transfer speed while the second experiment measures how many separate objects + the bridge can transfer each second. + </p> + <p> + In the first experiment, 1-megapixel images, represented with + <tt>array<rgb_pixel></tt> objects, were sent. The transfer rate was + 112 megabytes/second, saturating the gigabit ethernet link. The second + experiment used a <tt>pipe<char></tt> and <tt>bridge</tt> to send individual + <tt>char</tt> variables over the network. In this experiment, I was able to + send 3.2 million objects a second (i.e. the receiving end was getting a char + back from pipe::dequeue() 3.2 million times each second). + </p> + <p> + For reference, these experiments were carried out on a desktop with a 2.67GHz + Intel Core-i7 CPU and a laptop with a 2.20GHz Intel Core-i7 CPU. + </p> + </description> + <examples> + <example>bridge_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>bsp_connect</name> + <file>dlib/bsp.h</file> + <spec_file link="true">dlib/bsp/bsp_abstract.h</spec_file> + <description> + This function spawns a BSP job consisting of a number of network hosts + as well as the local host. + </description> + <examples> + <example>bsp_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>bsp_listen</name> + <file>dlib/bsp.h</file> + <spec_file link="true">dlib/bsp/bsp_abstract.h</spec_file> + <description> + This function listens for a TCP connection from the <a href="#bsp_connect">bsp_connect</a> routine. + Once this connection is established, a user supplied function will be executed and it will + then be able to participate in a BSP computation as one of the processing + nodes. + </description> + <examples> + <example>bsp_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>bsp_listen_dynamic_port</name> + <file>dlib/bsp.h</file> + <spec_file link="true">dlib/bsp/bsp_abstract.h</spec_file> + <description> + This function listens for a TCP connection from the <a href="#bsp_connect">bsp_connect</a> routine. + Once this connection is established, a user supplied function will be executed and it will + then be able to participate in a BSP computation as one of the processing + nodes. This function has the additional ability to select the listening TCP port + automatically from the set of available ports. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>bsp_context</name> + <file>dlib/bsp.h</file> + <spec_file link="true">dlib/bsp/bsp_abstract.h</spec_file> + <description> + This is a tool used to implement algorithms using the Bulk Synchronous + Parallel (BSP) computing model. In particular, this object defines + the API used for communication between BSP jobs. + </description> + <examples> + <example>bsp_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>server</name> + <file>dlib/server.h</file> + <spec_file>dlib/server/server_kernel_abstract.h</spec_file> + <description> + This object represents a server that listens on a port and spawns new + threads to handle each new connection. It also manages the connections + and threads for you. + </description> + + <examples> + <example>sockets_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>server_iostream</name> + <file>dlib/server.h</file> + <spec_file>dlib/server/server_iostream_abstract.h</spec_file> + <description> + This is an extension of the <a href="#server">server</a> object that redefines + the on_connect() function so that instead of giving you a connection object you + get an istream and ostream object. + </description> + <examples> + <example>server_iostream_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>server_http</name> + <file>dlib/server.h</file> + <spec_file link="true">dlib/server/server_http_abstract.h</spec_file> + <description> + This is an extension of the <a href="#server_iostream">server_iostream</a> object which + turns it into a simple HTTP server. + </description> + + <examples> + <example>server_http_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>iosockstream</name> + <file>dlib/iosockstream.h</file> + <spec_file>dlib/iosockstream/iosockstream_abstract.h</spec_file> + <description> + This is an iostream object that reads/writes from a TCP network connection. + </description> + + <examples> + <example>iosockstream_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>sockstreambuf</name> + <file>dlib/sockstreambuf.h</file> + <spec_file>dlib/sockstreambuf/sockstreambuf_abstract.h</spec_file> + <description> + This object represents a stream buffer for connection objects. If you + are considering using this object then you should also take a look at + the <a href="#iosockstream">iosockstream</a>. + </description> + + <examples> + <example>sockstreambuf_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + </components> + + <!-- ************************************************************************* --> + + +</doc> diff --git a/ml/dlib/docs/docs/old_change_log.xml b/ml/dlib/docs/docs/old_change_log.xml new file mode 100644 index 000000000..bddb0b479 --- /dev/null +++ b/ml/dlib/docs/docs/old_change_log.xml @@ -0,0 +1,7 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Old Change Logs</title> + <body from_file="old_log.txt"/> +</doc> diff --git a/ml/dlib/docs/docs/old_release_notes.xml b/ml/dlib/docs/docs/old_release_notes.xml new file mode 100644 index 000000000..e9e7c408b --- /dev/null +++ b/ml/dlib/docs/docs/old_release_notes.xml @@ -0,0 +1,10 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Old Release Notes</title> + <body> + <old_release_notes/> + </body> +</doc> + diff --git a/ml/dlib/docs/docs/optimization.xml b/ml/dlib/docs/docs/optimization.xml new file mode 100644 index 000000000..cd04ded75 --- /dev/null +++ b/ml/dlib/docs/docs/optimization.xml @@ -0,0 +1,1338 @@ +<?xml version="1.0" encoding="utf8"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Optimization</title> + + <!-- ************************************************************************* --> + + <body> + + <p> + This page documents library components that attempt to find the + minimum or maximum of a user supplied function. An introduction + to the general purpose non-linear optimizers in this section can be + found <a href="optimization_ex.cpp.html">here</a>. For an example + showing how to use the non-linear least squares routines look + <a href="least_squares_ex.cpp.html">here</a>. + </p> + + </body> + + <!-- ************************************************************************* --> + + <menu width="150"> + <top> + <section> + <name>General Purpose Optimizers</name> + <item>find_min</item> + <item>find_min_box_constrained</item> + <item>find_min_single_variable</item> + <item>find_min_using_approximate_derivatives</item> + <item>find_min_bobyqa</item> + <item>find_min_global</item> + <item>find_max</item> + <item>find_max_box_constrained</item> + <item>find_max_single_variable</item> + <item>find_max_using_approximate_derivatives</item> + <item>find_max_bobyqa</item> + <item>find_max_global</item> + <item>global_function_search</item> + <item>find_max_trust_region</item> + <item>find_min_trust_region</item> + </section> + + <section> + <name>Special Purpose Optimizers</name> + <item>find_gap_between_convex_hulls</item> + <item>solve_qp_box_constrained</item> + <item>solve_qp_box_constrained_blockdiag</item> + <item>solve_qp_using_smo</item> + <item>solve_qp2_using_smo</item> + <item>solve_qp3_using_smo</item> + <item>solve_qp4_using_smo</item> + <item>oca</item> + <item>mpc</item> + <item>solve_least_squares</item> + <item>solve_least_squares_lm</item> + <item>solve_trust_region_subproblem</item> + <item>solve_trust_region_subproblem_bounded</item> + <item>max_cost_assignment</item> + <item>max_sum_submatrix</item> + <item>find_max_factor_graph_nmplp</item> + <item>find_max_factor_graph_viterbi</item> + <item>find_max_factor_graph_potts</item> + <item>find_max_parse_cky</item> + <item>min_cut</item> + <item>elastic_net</item> + <item>isotonic_regression</item> + </section> + + <section> + <name>Strategies</name> + <item>cg_search_strategy</item> + <item>bfgs_search_strategy</item> + <item>newton_search_strategy</item> + <item>lbfgs_search_strategy</item> + <item>objective_delta_stop_strategy</item> + <item>gradient_norm_stop_strategy</item> + </section> + + <section> + <name>Helper Routines</name> + <item>derivative</item> + <item>negate_function</item> + <item>clamp_function</item> + <item>make_line_search_function</item> + <item>poly_min_extrap</item> + <item>lagrange_poly_min_extrap</item> + <item>line_search</item> + <item>backtracking_line_search</item> + <item>graph_cut_score</item> + <item>potts_model_score</item> + <item>parse_tree_to_string</item> + <item>find_trees_not_rooted_with_tag</item> + <item>upper_bound_function</item> + <item>call_function_and_expand_args</item> + </section> + + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + <!-- ************************************************************************* --> + + <component> + <name>derivative</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file> + <description> + This is a function that takes another function as input and returns + a function object that numerically computes the derivative of the input function. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>negate_function</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_line_search_abstract.h</spec_file> + <description> + This is a function that takes another function as input and returns + a function object that computes the negation of the input function. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>clamp_function</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file> + <description> + This is a function that takes another function, f(x), as input and + returns a new function object, g(x), such that + <tt>g(x) == f(clamp(x,x_lower,x_upper))</tt> where x_lower and x_upper + are vectors of box constraints which are applied to x. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>make_line_search_function</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_line_search_abstract.h</spec_file> + <description> + This is a function that takes another function f(x) as input and returns + a function object l(z) = f(start + z*direction). It is useful for + turning multi-variable functions into single-variable functions for + use with the <a href="#line_search">line_search</a> or + <a href="#backtracking_line_search">backtracking_line_search</a> routines. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>poly_min_extrap</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_line_search_abstract.h</spec_file> + <description> + This function finds the 2nd or 3rd degree polynomial that interpolates a + set of points and returns the minimum of that polynomial. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>lagrange_poly_min_extrap</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_line_search_abstract.h</spec_file> + <description> + This function finds the second order polynomial that interpolates a + set of points and returns the minimum of that polynomial. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>line_search</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_line_search_abstract.h</spec_file> + <description> + Performs a gradient based line search on a given function and returns the input + that makes the function significantly smaller. This implements the classic + line search method using the strong Wolfe conditions with a bracketing and then + sectioning phase, both using polynomial interpolation. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>backtracking_line_search</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_line_search_abstract.h</spec_file> + <description> + Performs a line search on a given function and returns the input + that makes the function significantly smaller. This implementation uses a + basic Armijo backtracking search with polynomial interpolation. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cg_search_strategy</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_search_strategies_abstract.h</spec_file> + <description> + This object represents a strategy for determining which direction + a <a href="#line_search">line search</a> should be carried out along. This particular object + is an implementation of the Polak-Ribiere conjugate gradient method + for determining this direction. + + <p> + This method uses an amount of memory that is linear in the number + of variables to be optimized. So it is capable of handling problems + with a very large number of variables. However, it is generally + not as good as the L-BFGS algorithm (see the + <a href="#lbfgs_search_strategy">lbfgs_search_strategy</a> class). + </p> + </description> + <examples> + <example>optimization_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>bfgs_search_strategy</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_search_strategies_abstract.h</spec_file> + <description> + This object represents a strategy for determining which direction + a <a href="#line_search">line search</a> should be carried out along. This particular object + is an implementation of the BFGS quasi-newton method for determining + this direction. + + <p> + This method uses an amount of memory that is quadratic in the number + of variables to be optimized. It is generally very effective but + if your problem has a very large number of variables then it isn't + appropriate. Instead, you should try the <a href="#lbfgs_search_strategy">lbfgs_search_strategy</a>. + </p> + </description> + <examples> + <example>optimization_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>newton_search_strategy</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_search_strategies_abstract.h</spec_file> + <description> + This object represents a strategy for determining which direction + a <a href="#line_search">line search</a> should be carried out along. This particular routine + is an implementation of the newton method for determining this direction. + That means using it requires you to supply a method for + creating hessian matrices for the problem you are trying to optimize. + + <p> + Note also that this is actually a helper function for creating + <a href="dlib/optimization/optimization_search_strategies_abstract.h.html#newton_search_strategy_obj" + >newton_search_strategy_obj</a> objects. + </p> + + </description> + <examples> + <example>optimization_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>lbfgs_search_strategy</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_search_strategies_abstract.h</spec_file> + <description> + This object represents a strategy for determining which direction + a <a href="#line_search">line search</a> should be carried out along. This particular object + is an implementation of the L-BFGS quasi-newton method for determining + this direction. + + <p> + This method uses an amount of memory that is linear in the number + of variables to be optimized. This makes it an excellent method + to use when an optimization problem has a large number of variables. + </p> + </description> + <examples> + <example>optimization_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>objective_delta_stop_strategy</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_stop_strategies_abstract.h</spec_file> + <description> + This object represents a strategy for deciding if an optimization + algorithm should terminate. This particular object looks at the + change in the objective function from one iteration to the next and + bases its decision on how large this change is. If the change + is below a user given threshold then the search stops. + </description> + <examples> + <example>optimization_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>gradient_norm_stop_strategy</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_stop_strategies_abstract.h</spec_file> + <description> + This object represents a strategy for deciding if an optimization + algorithm should terminate. This particular object looks at the + norm (i.e. the length) of the current gradient vector and + stops if it is smaller than a user given threshold. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_min</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file> + <description> + Performs an unconstrained minimization of a nonlinear function using + some search strategy (e.g. <a href="#bfgs_search_strategy">bfgs_search_strategy</a>). + </description> + <examples> + <example>optimization_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_min_box_constrained</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file> + <description> + Performs a box constrained minimization of a nonlinear function using + some search strategy (e.g. <a href="#bfgs_search_strategy">bfgs_search_strategy</a>). + This function uses a backtracking line search along with a gradient projection + step to handle the box constraints. + </description> + <examples> + <example>optimization_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_min_single_variable</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_line_search_abstract.h</spec_file> + <description> + Performs a bound constrained minimization of a nonlinear function. The + function must be of a single variable. Derivatives are not required. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>solve_trust_region_subproblem_bounded</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_trust_region_abstract.h</spec_file> + <description> + This function solves the following optimization problem: +<pre> +Minimize: f(p) == 0.5*trans(p)*B*p + trans(g)*p +subject to the following constraint: + length(p) <= radius + lower(i) <= p(i) <= upper(i), for all i +</pre> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>solve_trust_region_subproblem</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_trust_region_abstract.h</spec_file> + <description> + This function solves the following optimization problem: +<pre> +Minimize: f(p) == 0.5*trans(p)*B*p + trans(g)*p +subject to the following constraint: + length(p) <= radius +</pre> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_gap_between_convex_hulls</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_solve_qp_using_smo_abstract.h</spec_file> + <description> + This function measures the position and size of the gap between two convex + polytopes. In particular, it solves the following quadratic program: +<pre> + Minimize: f(cA,cB) == length_squared(A*cA - B*cB) + subject to the following constraints on cA and cB: + - is_col_vector(cA) == true && cA.size() == A.nc() + - is_col_vector(cB) == true && cB.size() == B.nc() + - sum(cA) == 1 && min(cA) >= 0 + - sum(cB) == 1 && min(cB) >= 0 +</pre> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>solve_qp_using_smo</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_solve_qp_using_smo_abstract.h</spec_file> + <description> + This function solves the following quadratic program: +<pre> + Minimize: f(alpha) == 0.5*trans(alpha)*Q*alpha - trans(alpha)*b + subject to the following constraints: + sum(alpha) == C + min(alpha) >= 0 + Where f is convex. This means that Q should be symmetric and positive-semidefinite. +</pre> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>solve_qp_box_constrained</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_solve_qp_using_smo_abstract.h</spec_file> + <description> + This function solves the following quadratic program: +<pre> + Minimize: f(alpha) == 0.5*trans(alpha)*Q*alpha + trans(b)*alpha + subject to the following box constraints on alpha: + 0 <= min(alpha-lower) + 0 <= max(upper-alpha) + Where f is convex. This means that Q should be positive-semidefinite. +</pre> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>solve_qp_box_constrained_blockdiag</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_solve_qp_using_smo_abstract.h</spec_file> + <description> + This function solves the following quadratic program: +<pre> + Minimize: f(alpha) == 0.5*trans(alpha)*Q*alpha + trans(b)*alpha + subject to the following box constraints on alpha: + 0 <= min(alpha-lower) + 0 <= max(upper-alpha) + Where f is convex. This means that Q should be positive-semidefinite. +</pre> + + So it does the same thing as <a href="#solve_qp_box_constrained">solve_qp_box_constrained</a>, + except it is optimized for large Q matrices with a special block + structure. In particular, Q must be grouped into identically sized + blocks where all blocks are diagonal matrices, except those on the + main diagonal which can be dense. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>solve_qp2_using_smo</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_solve_qp2_using_smo_abstract.h</spec_file> + <description> + This function solves the following quadratic program: +<pre> + Minimize: f(alpha) == 0.5*trans(alpha)*Q*alpha + subject to the following constraints: + sum(alpha) == nu*y.size() + 0 <= min(alpha) && max(alpha) <= 1 + trans(y)*alpha == 0 + + Where all elements of y must be equal to +1 or -1 and f is convex. + This means that Q should be symmetric and positive-semidefinite. +</pre> +<br/> + This object implements the strategy used by the LIBSVM tool. The following papers + can be consulted for additional details: + <ul> + <li>Chang and Lin, Training {nu}-Support Vector Classifiers: Theory and Algorithms</li> + <li>Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector + machines, 2001. Software available at + <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm/">http://www.csie.ntu.edu.tw/~cjlin/libsvm</a></li> + </ul> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>solve_qp3_using_smo</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_solve_qp3_using_smo_abstract.h</spec_file> + <description> + This function solves the following quadratic program: +<pre> + Minimize: f(alpha) == 0.5*trans(alpha)*Q*alpha + trans(p)*alpha + subject to the following constraints: + for all i such that y(i) == +1: 0 <= alpha(i) <= Cp + for all i such that y(i) == -1: 0 <= alpha(i) <= Cn + trans(y)*alpha == B + + Where all elements of y must be equal to +1 or -1 and f is convex. + This means that Q should be symmetric and positive-semidefinite. +</pre> +<br/> + This object implements the strategy used by the LIBSVM tool. The following papers + can be consulted for additional details: + <ul> + <li>Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector + machines, 2001. Software available at + <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm/">http://www.csie.ntu.edu.tw/~cjlin/libsvm</a></li> + <li>Working Set Selection Using Second Order Information for Training Support Vector Machines by + Fan, Chen, and Lin. In the Journal of Machine Learning Research 2005.</li> + </ul> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>solve_qp4_using_smo</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_solve_qp_using_smo_abstract.h</spec_file> + <description> + This function solves the following quadratic program: +<pre> + Minimize: f(alpha,lambda) == 0.5*trans(alpha)*Q*alpha - trans(alpha)*b + + 0.5*trans(lambda)*lambda - trans(lambda)*A*alpha - trans(lambda)*d + subject to the following constraints: + sum(alpha) == C + min(alpha) >= 0 + min(lambda) >= 0 + max(lambda) <= max_lambda + Where f is convex. This means that Q should be positive-semidefinite. +</pre> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>max_cost_assignment</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/max_cost_assignment_abstract.h</spec_file> + <description> + This function is an implementation of the Hungarian algorithm (also know as the Kuhn-Munkres algorithm) which + runs in O(N^3) time. + It solves the optimal assignment problem. For example, suppose you have an equal number of workers + and jobs and you need to decide which workers to assign to which jobs. Some workers are better at + certain jobs than others. So you would like to find out how to assign them all to jobs such that + overall productivity is maximized. You can use this routine to solve this problem and others like it. + <p> + Note that dlib also contains a <a href="ml.html#structural_assignment_trainer">machine learning</a> + method for learning the cost function needed to use the Hungarian algorithm. + </p> + + </description> + <examples> + <example>max_cost_assignment_ex.cpp.html</example> + <example>max_cost_assignment.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>max_sum_submatrix</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/max_sum_submatrix_abstract.h</spec_file> + <description> + This function finds the submatrix within a user supplied matrix which has the largest sum. It then + zeros out that submatrix and repeats the process until no more maximal submatrices can + be found. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_max_factor_graph_nmplp</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/find_max_factor_graph_nmplp_abstract.h</spec_file> + <description> + This function is a tool for approximately solving the MAP problem in a graphical + model or factor graph with pairwise potential functions. That is, it attempts + to solve a certain kind of optimization problem which can be defined as follows: +<pre> + maximize: f(X) + where X is a set of integer valued variables and f(X) can be written + as the sum of functions which each involve only two variables from X. +</pre> +If the graph is tree-structured then this routine always gives the exact solution to the MAP problem. +However, for graphs with cycles, the solution may be approximate. +<br/> +<br/> + This function is an implementation of the NMPLP algorithm introduced in the + following papers: + <blockquote> + Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations (2008) + by Amir Globerson and Tommi Jaakkola + </blockquote> + <blockquote> + Introduction to dual decomposition for inference (2011) + by David Sontag, Amir Globerson, and Tommi Jaakkola + </blockquote> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_max_parse_cky</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/find_max_parse_cky_abstract.h</spec_file> + <description> + This function implements the CKY parsing algorithm. In particular, it + finds the maximum scoring binary parse tree that parses an input sequence of tokens. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>parse_tree_to_string</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/find_max_parse_cky_abstract.h</spec_file> + <description> + This is a set of functions useful for converting a parse tree output by + <a href="#find_max_parse_cky">find_max_parse_cky</a> into a bracketed string + suitable for displaying the parse tree. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_trees_not_rooted_with_tag</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/find_max_parse_cky_abstract.h</spec_file> + <description> + Finds all the largest non-overlapping <a href="#find_max_parse_cky">parse trees</a> + in tree that are not rooted with a particular tag. + <p> + This function is useful when you want to cut a parse tree + into a bunch of sub-trees and you know that the top level of the tree is all + composed of the same kind of tag. So if you want to just "slice off" the top + of the tree where this tag lives then this function is useful for doing that. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_max_factor_graph_viterbi</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/find_max_factor_graph_viterbi_abstract.h</spec_file> + <description> + This function is a tool for exactly solving the MAP problem in a chain-structured + graphical model or factor graph. In particular, it is an implementation of the classic Viterbi + algorithm for finding the maximizing assignment. In addition to basic first order Markov + models, this function is also capable of finding the MAP assignment for higher order + Markov models. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>potts_model_score</name> + <file>dlib/graph_cuts.h</file> + <spec_file link="true">dlib/graph_cuts/find_max_factor_graph_potts_abstract.h</spec_file> + <description> + This routine computes the model score for a Potts problem and a + candidate labeling. This score is the quantity maximised + by the <a href="#find_max_factor_graph_potts">find_max_factor_graph_potts</a> + routine. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>graph_cut_score</name> + <file>dlib/graph_cuts.h</file> + <spec_file link="true">dlib/graph_cuts/min_cut_abstract.h</spec_file> + <description> + This routine computes the score for a candidate graph cut. This is the + quantity minimized by the <a href="#min_cut">min_cut</a> algorithm. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>min_cut</name> + <file>dlib/graph_cuts.h</file> + <spec_file link="true">dlib/graph_cuts/min_cut_abstract.h</spec_file> + <description> + This is a function object which can be used to find the min cut + on a graph. + The implementation is based on the method described in the following + paper: + <blockquote> + An Experimental Comparison of Min-Cut/Max-Flow Algorithms for + Energy Minimization in Vision, by Yuri Boykov and Vladimir Kolmogorov, + in PAMI 2004. + </blockquote> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_max_factor_graph_potts</name> + <file>dlib/graph_cuts.h</file> + <spec_file link="true">dlib/graph_cuts/find_max_factor_graph_potts_abstract.h</spec_file> + <description> + This is a set of overloaded functions for exactly solving the MAP problem in a Potts + model. This type of model is useful when you have a problem which + can be modeled as a bunch of binary decisions on some variables, + but you have some kind of labeling consistency constraint. This + means that there is some penalty for giving certain pairs of variables + different labels. So in addition to trying to figure out how to best + label each variable on its own, you have to worry about making the + labels pairwise consistent in some sense. The find_max_factor_graph_potts() + routine can be used to find the most probable/highest scoring + labeling for this type of model. + <p>The implementation of this routine is based on the <a href="#min_cut">min_cut</a> object.</p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>oca</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_oca_abstract.h</spec_file> + <description> + This object is a tool for solving the following optimization problem: +<pre> + Minimize: f(w) == 0.5*||w||^2 + C*R(w) + + Where R(w) is a user-supplied convex function and C > 0. Optionally, + this object can also add non-negativity constraints to some or all + of the elements of w. + +Or it can alternatively solve: + Minimize: f(w) == 0.5*||w-prior||^2 + C*R(w) + + Where prior is a user supplied vector and R(w) has the same + interpretation as above. + +Or it can use the elastic net regularizer: + Minimize: f(w) == 0.5*(1-lasso_lambda)*length_squared(w) + lasso_lambda*sum(abs(w)) + C*R(w) + + Where lasso_lambda is a number in the range [0, 1) and controls + trade-off between doing L1 and L2 regularization. R(w) has the same + interpretation as above. +</pre> +<br/> +<br/> + + For a detailed discussion you should consult the following papers + from the Journal of Machine Learning Research: + <blockquote> + Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization + by Vojtech Franc, Soren Sonnenburg; 10(Oct):2157--2192, 2009. + </blockquote> + <blockquote> + Bundle Methods for Regularized Risk Minimization + by Choon Hui Teo, S.V.N. Vishwanthan, Alex J. Smola, Quoc V. Le; 11(Jan):311-365, 2010. + </blockquote> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>mpc</name> + <file>dlib/control.h</file> + <spec_file link="true">dlib/control/mpc_abstract.h</spec_file> + <description> + This object implements a linear model predictive controller. + In particular, it solves a certain quadratic program using the method + described in the paper: + <blockquote> + A Fast Gradient method for embedded linear predictive control (2011) + by Markus Kogel and Rolf Findeisen + </blockquote> + </description> + <examples> + <example>mpc_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>find_min_bobyqa</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_bobyqa_abstract.h</spec_file> + <description> + This function defines the dlib interface to the BOBYQA software developed by M.J.D Powell. + BOBYQA is a method for optimizing a function in the absence of derivative information. + Powell described it as a method that seeks the least value of a function of many + variables, by applying a trust region method that forms quadratic models by + interpolation. There is usually some freedom in the interpolation conditions, + which is taken up by minimizing the Frobenius norm of the change to the second + derivative of the model, beginning with the zero matrix. The values of the variables + are constrained by upper and lower bounds. + + <p> + The following paper, published in 2009 by Powell, describes the + detailed working of the BOBYQA algorithm. + + <blockquote> + The BOBYQA algorithm for bound constrained optimization + without derivatives by M.J.D. Powell + </blockquote> + </p> + + <p> + Note that BOBYQA only works on functions of two or more variables. So if you need to perform + derivative-free optimization on a function of a single variable + then you should use the <a href="#find_min_single_variable">find_min_single_variable</a> + function. + </p> + + </description> + <examples> + <example>optimization_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_max_bobyqa</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_bobyqa_abstract.h</spec_file> + <description> + This function is identical to the <a href="#find_min_bobyqa">find_min_bobyqa</a> routine + except that it negates the objective function before performing optimization. + Thus this function will attempt to find the maximizer of the objective rather than + the minimizer. + <p> + Note that BOBYQA only works on functions of two or more variables. So if you need to perform + derivative-free optimization on a function of a single variable + then you should use the <a href="#find_max_single_variable">find_max_single_variable</a> + function. + </p> + </description> + <examples> + <example>optimization_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>isotonic_regression</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/isotonic_regression_abstract.h</spec_file> + <description> + This object is a tool for performing 1-D isotonic regression. That is, it + finds the least squares fit of a non-parametric curve to some user supplied + data, subject to the constraint that the fitted curve is non-decreasing. + + <p> + This is done using the fast O(n) pool adjacent violators algorithm. + </p> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>elastic_net</name> + <file>dlib/optimization/elastic_net.h</file> + <spec_file link="true">dlib/optimization/elastic_net_abstract.h</spec_file> + <description> + This object is a tool for solving the following optimization problem: + +<pre> + min_w: length_squared(X*w - Y) + ridge_lambda*length_squared(w) + such that: sum(abs(w)) <= lasso_budget +</pre> + + <p> + That is, it solves the elastic net optimization problem. This object also + has the special property that you can quickly obtain different solutions + for different settings of ridge_lambda, lasso_budget, and target Y values. + </p> + + <p> + This is because a large amount of work is precomputed in the constructor. + The solver will also remember the previous solution and will use that to + warm start subsequent invocations. Therefore, you can efficiently get + solutions for a wide range of regularization parameters. + </p> + + + The particular algorithm used to solve it is described in the paper: + <blockquote> + Zhou, Quan, et al. "A reduction of the elastic net to support vector + machines with an application to gpu computing." arXiv preprint + arXiv:1409.1976 (2014). APA + </blockquote> + + And for the SVM solver sub-component we use the algorithm from: + <blockquote> + Hsieh, Cho-Jui, et al. "A dual coordinate descent method for large-scale + linear SVM." Proceedings of the 25th international conference on Machine + learning. ACM, 2008. + </blockquote> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_min_using_approximate_derivatives</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file> + <description> + Performs an unconstrained minimization of a nonlinear function using + some search strategy (e.g. <a href="#bfgs_search_strategy">bfgs_search_strategy</a>). + This version doesn't take a gradient function but instead numerically approximates + the gradient. + </description> + <examples> + <example>optimization_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>solve_least_squares</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_least_squares_abstract.h</spec_file> + <description> + This is a function for solving non-linear least squares problems. It uses a method + which combines the traditional Levenberg-Marquardt technique with a quasi-newton + approach. It is appropriate for large residual problems (i.e. problems where the + terms in the least squares function, the residuals, don't go to zero but remain + large at the solution) + </description> + + <examples> + <example>least_squares_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>solve_least_squares_lm</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_least_squares_abstract.h</spec_file> + <description> + This is a function for solving non-linear least squares problems. It uses + the traditional Levenberg-Marquardt technique. + It is appropriate for small residual problems (i.e. problems where the + terms in the least squares function, the residuals, go to zero at the solution) + </description> + + <examples> + <example>least_squares_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_min_trust_region</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_trust_region_abstract.h</spec_file> + <description> + Performs an unconstrained minimization of a nonlinear function using + a trust region method. + </description> + <examples> + <example>optimization_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_max_trust_region</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_trust_region_abstract.h</spec_file> + <description> + Performs an unconstrained maximization of a nonlinear function using + a trust region method. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_max</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file> + <description> + Performs an unconstrained maximization of a nonlinear function using + some search strategy (e.g. <a href="#bfgs_search_strategy">bfgs_search_strategy</a>). + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_max_box_constrained</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file> + <description> + Performs a box constrained maximization of a nonlinear function using + some search strategy (e.g. <a href="#bfgs_search_strategy">bfgs_search_strategy</a>). + This function uses a backtracking line search along with a gradient projection + step to handle the box constraints. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_max_single_variable</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_line_search_abstract.h</spec_file> + <description> + Performs a bound constrained maximization of a nonlinear function. The + function must be of a single variable. Derivatives are not required. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_max_using_approximate_derivatives</name> + <file>dlib/optimization.h</file> + <spec_file link="true">dlib/optimization/optimization_abstract.h</spec_file> + <description> + Performs an unconstrained maximization of a nonlinear function using + some search strategy (e.g. <a href="#bfgs_search_strategy">bfgs_search_strategy</a>). + This version doesn't take a gradient function but instead numerically approximates + the gradient. + </description> + + </component> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <component> + <name>global_function_search</name> + <file>dlib/global_optimization.h</file> + <spec_file link="true">dlib/global_optimization/global_function_search_abstract.h</spec_file> + <description> + This object performs global optimization of a set of user supplied + functions. That is, given a set of functions, each of which could take a different + number of arguments, this object allows you to find which function and which arguments + produce the maximal output. + + <p> + Importantly, the global_function_search object does not require the user to + supply derivatives. Moreover, the functions being optimized may contain discontinuities, + behave stochastically, and have many local maxima. The global_function_search + object will attempt to find the global optima in the face of these challenges. + It is also designed to use as few function evaluations as possible, making + it suitable for optimizing functions that are very expensive to evaluate. + It does this by alternating between two modes: a global exploration mode + and a local optima refinement mode. This is accomplished by building and + maintaining two models of the objective function: + </p> + <ol> + <li> + A global model that <a href="#upper_bound_function">upper bounds our objective function</a>. This is a non-parametric + piecewise linear model derived from all function evaluations ever seen by the + global_function_search object. This is based on the method described in <i>Global + Optimization of Lipschitz Functions</i> by Cédric Malherbe and Nicolas Vayatis in the + 2017 International Conference on Machine Learning. + </li> + <li> + A local quadratic model fit around the best point seen so far. This uses + a trust region method similar to what is proposed in: + <i>The NEWUOA software for unconstrained optimization without derivatives</i> By + M.J.D. Powell, 40th Workshop on Large Scale Nonlinear Optimization (Erice, + Italy, 2004) + </li> + </ol> + + The behavior of the algorithm is illustrated in the following video, which shows the solver in action. In the video, the red line + is the function to be optimized and we are looking for the maximum point. Every time + the global_function_search samples a point from the function we note it with a little + box. The state of the solver is determined by the two models discussed above. + Therefore, we draw the upper bounding model as well as the current local quadratic model + so you can see how they evolve as the optimization proceeds. We also note the location of the + best point seen so far by a little vertical line. + <p> + You can see that the optimizer is alternating between picking the maximum upper bounding + point and the maximum point according to the quadratic model. As the optimization + progresses, the upper bound becomes progressively more accurate, helping to find the + best peak to investigate, while the quadratic model quickly finds a high precision + maximizer on whatever peak it currently rests. These two things together allow the + optimizer to find the true global maximizer to high precision (within 1e-9 in this case) by the time the + video concludes. + </p> + <center> + <video src="find_max_global_example"> + Video of optimizer running + </video> + </center> + + <p> + Finally, note that the <a href="#find_max_global">find_max_global</a> routine is + essentially a simple wrapper around the global_function_search object and exists to + provide a convenient interface. Most users will therefore want to call find_max_global + rather than global_function_search. However, the API of global_function_search + is more general and allows for of a wider set of usage patterns, for example, executing + objective function evaluations in parallel. So more advanced users may want to use + global_function_search directly rather than find_max_global. But try to use find_max_global() first. + </p> + + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_max_global</name> + <file>dlib/global_optimization.h</file> + <spec_file link="true">dlib/global_optimization/find_max_global_abstract.h</spec_file> + <description> + This function performs global optimization of a function, subject + to bounds constraints. This means it attempts to find the global + maximizer, not just a local maximizer. The search is performed + using the <a href="#global_function_search">global_function_search</a> object. + See global_function_search's documentation for details of the algorithm. Importantly, + find_max_global() does not require the user to specify derivatives + or starting guesses, all while attempting to use as few calls to + the objective function as possible. It is therefore appropriate for tasks + where evaluating the objective function is time consuming or + expensive, such as in hyper parameter optimization of machine + learning models. + </description> + + <examples> + <example>optimization_ex.cpp.html</example> + <example>model_selection_ex.cpp.html</example> + <example>global_optimization.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>find_min_global</name> + <file>dlib/global_optimization.h</file> + <spec_file link="true">dlib/global_optimization/find_max_global_abstract.h</spec_file> + <description> + This function is identical to the <a href="#find_max_global">find_max_global</a> routine + except it negates the objective function before performing optimization. + Thus this function will attempt to find the minimizer of the objective rather than + the maximizer. + </description> + <examples> + <example>optimization_ex.cpp.html</example> + <example>model_selection_ex.cpp.html</example> + <example>global_optimization.py.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>upper_bound_function</name> + <file>dlib/global_optimization.h</file> + <spec_file link="true">dlib/global_optimization/upper_bound_function_abstract.h</spec_file> + <description> + This object represents a piecewise linear non-parametric function that can + be used to define an upper bound on some more complex and unknown function. + + <p> + This is based on the method described in <i>Global Optimization of Lipschitz + Functions</i> by Cédric Malherbe and Nicolas Vayatis in the 2017 International + Conference on Machine Learning. Here we have extended it to support modeling of + stochastic or discontinuous functions by adding a noise term. We also model separate + Lipschitz parameters for each dimension, allowing the model to handle functions with + widely varying sensitivities to each input variable. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>call_function_and_expand_args</name> + <file>dlib/global_optimization.h</file> + <spec_file link="true">dlib/global_optimization/find_max_global_abstract.h</spec_file> + <description> + This routine allows you to pass a <tt>dlib::matrix<double,0,1></tt> object to + a function that takes simple <tt>double</tt> arguments. It does this by automatically + expanding the matrix elements and invoking the function. For example, suppose you had + a function like this: + <code_box> +double f(double x, double y, double z); </code_box> + You could then call f() like this: + <code_box> +matrix<double,0,1> args = {3,4,5}; +call_function_and_expand_args(f, args); // calls: f(3,4,5) </code_box> + + This kind of thing is convenient when writing optimizers like <a + href="#find_max_global">find_max_global</a> since it allows a wide range of + input functions to be given to the optimizer, including functions with + explicitly named arguments like x,y,z as shown above. + </description> + + </component> + + <!-- ************************************************************************* --> + + + </components> + + <!-- ************************************************************************* --> + + +</doc> + diff --git a/ml/dlib/docs/docs/other.xml b/ml/dlib/docs/docs/other.xml new file mode 100644 index 000000000..d8d151d87 --- /dev/null +++ b/ml/dlib/docs/docs/other.xml @@ -0,0 +1,1166 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Miscellaneous</title> + + <!-- ************************************************************************* --> + + <body> + + <p> + + This page documents library components that don't really fit in anywhere else. + They all follow the same conventions as the rest of the library. + </p> + + </body> + + <!-- ************************************************************************* --> + + <menu width="200"> + <top> + <section> + <name>Objects</name> + <item>bit_stream</item> + <item>byte_orderer</item> + <item>std_allocator</item> + <item>memory_manager</item> + <item>memory_manager_global</item> + <item>memory_manager_stateless</item> + <item>default_memory_manager</item> + <item>sync_extension</item> + <item>timer</item> + <item>timeout</item> + <item>member_function_pointer</item> + <item>vectorstream</item> + <item>unserialize</item> + <item>bound_function_pointer</item> + <item>error</item> + <item>console_progress_indicator</item> + <item>pipe</item> + <item>copy_functor</item> + <item>logger</item> + <item nolink="true"> + <name>Fixed_width_integers</name> + <sub> + <item>uint64</item> + <item>uint32</item> + <item>uint16</item> + <item>uint8</item> + <item>int64</item> + <item>int32</item> + <item>int16</item> + <item>int8</item> + </sub> + </item> + </section> + + <section> + <name>Global Functions</name> + <item>ramdump</item> + <item>check_serialized_version</item> + <item>deserialize</item> + <item>serialize</item> + <item>zero_extend_cast</item> + <item>make_mfp</item> + <item>TIME_THIS</item> + <item>timing code blocks</item> + </section> + + <section> + <name>SQLite</name> + <item>database</item> + <item>statement</item> + <item>transaction</item> + <item nolink="true"> + <name>simple_queries</name> + <sub> + <item> + <name>query_object</name> + <link>dlib/sqlite/sqlite_tools_abstract.h.html#query_object</link> + </item> + <item> + <name>query_text</name> + <link>dlib/sqlite/sqlite_tools_abstract.h.html#query_text</link> + </item> + <item> + <name>query_double</name> + <link>dlib/sqlite/sqlite_tools_abstract.h.html#query_double</link> + </item> + <item> + <name>query_int</name> + <link>dlib/sqlite/sqlite_tools_abstract.h.html#query_int</link> + </item> + <item> + <name>query_int64</name> + <link>dlib/sqlite/sqlite_tools_abstract.h.html#query_int64</link> + </item> + <item> + <name>query_blob</name> + <link>dlib/sqlite/sqlite_tools_abstract.h.html#query_blob</link> + </item> + </sub> + </item> + </section> + + <section> + <name>Other</name> + <item>dlib_testing_suite</item> + <item>MATLAB</item> + <item>Java</item> + </section> + + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + + <!-- ************************************************************************* --> + + <component> + <name>zero_extend_cast</name> + <file>dlib/uintn.h</file> + <spec_file link="true">dlib/uintn.h</spec_file> + <description> + This is a global function that performs a zero extending cast + from one integral type to another integral type. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>uint32</name> + <file>dlib/uintn.h</file> + <spec_file link="true">dlib/uintn.h</spec_file> + <description> + This is just a typedef for a 32 bit unsigned integer. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>uint8</name> + <file>dlib/uintn.h</file> + <spec_file link="true">dlib/uintn.h</spec_file> + <description> + This is just a typedef for an 8 bit unsigned integer. + </description> + + </component> + + <!-- ************************************************************************* --> + + + <component> + <name>uint16</name> + <file>dlib/uintn.h</file> + <spec_file link="true">dlib/uintn.h</spec_file> + <description> + This is just a typedef for a 16 bit unsigned integer. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>int8</name> + <file>dlib/uintn.h</file> + <spec_file link="true">dlib/uintn.h</spec_file> + <description> + This is just a typedef for an 8 bit integer. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>int16</name> + <file>dlib/uintn.h</file> + <spec_file link="true">dlib/uintn.h</spec_file> + <description> + This is just a typedef for a 16 bit integer. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>int32</name> + <file>dlib/uintn.h</file> + <spec_file link="true">dlib/uintn.h</spec_file> + <description> + This is just a typedef for a 32 bit integer. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>int64</name> + <file>dlib/uintn.h</file> + <spec_file link="true">dlib/uintn.h</spec_file> + <description> + This is just a typedef for a 64 bit integer. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>std_allocator</name> + <file>dlib/std_allocator.h</file> + <spec_file>dlib/std_allocator.h</spec_file> + <description> + This object is an implementation of an allocator that conforms to the C++ standard + requirements for allocator objects. The M template argument is one of the dlib + memory manager objects and this allocator implementation will do all of its memory allocations + using whatever dlib memory manager you supply. + + <p> + Thus, using this allocator object you can use any of the dlib memory manager objects with + the containers in the STL or with any other object that requires an STL style allocator object. + </p> + </description> + + <examples> + <example>std_allocator_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>uint64</name> + <file>dlib/uintn.h</file> + <spec_file link="true">dlib/uintn.h</spec_file> + <description> + This is just a typedef for a 64 bit unsigned integer. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>copy_functor</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a templated function object that makes copies of something. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>logger</name> + <file>dlib/logger.h</file> + <spec_file>dlib/logger/logger_kernel_abstract.h</spec_file> + <description> + This component is a logging output stream in the style of the log4j + logger available for Java. + </description> + + <examples> + <example>logger_ex.cpp.html</example> + <example>logger_ex_2.cpp.html</example> + <example>logger_custom_output_ex.cpp.html</example> + <example>pipe_ex.cpp.html</example> + </examples> + + <extensions> + <extension> + <name>extra_logger_headers</name> + <spec_file>dlib/logger/extra_logger_headers.h</spec_file> + <description>This extension contains additional logger headers you may chose to use instead of the + default one. </description> + </extension> + <extension> + <name>config_file</name> + <spec_file>dlib/logger/logger_config_file.h</spec_file> + <description>This extension provides the configure_loggers_from_file() function + which reads a configuration file from disk that sets up all your loggers.</description> + </extension> + </extensions> + + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>error</name> + <file>dlib/error.h</file> + <spec_file link="true">dlib/error.h</spec_file> + <description> + This is the base exception class from which all exceptions in this + library inherit. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>console_progress_indicator</name> + <file>dlib/console_progress_indicator.h</file> + <spec_file link="true">dlib/console_progress_indicator.h</spec_file> + <description> + This object is a tool for reporting how long a task will take + to complete. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>pipe</name> + <file>dlib/pipe.h</file> + <spec_file>dlib/pipe/pipe_kernel_abstract.h</spec_file> + <description> + This is a first in first out queue with a fixed maximum size. + It is suitable for passing objects between threads. + + <p> + This object is optimized for speed, therefore, it uses + global <tt>swap()</tt> to create a zero-copy method for moving objects + around. For example, on a computer running Ubuntu 12.04 with + a 2.67GHz Intel i7 920 CPU it is possible to pass over 4.4 + million <tt>std::vector<int></tt> objects a second between two + threads. This is regardless of the number of ints in the <tt>std::vector</tt> + objects. In particular, this test was done with 100,000 + ints in each <tt>std::vector</tt>. + </p> + <p> + Finally, note that you can use the pipe as an efficient method to pass + messages between two networked computers by using the <a href="network.html#bridge">bridge</a>. + </p> + </description> + + <examples> + <example>pipe_ex.cpp.html</example> + <example>pipe_ex_2.cpp.html</example> + <example>bridge_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>bound_function_pointer</name> + <file>dlib/bound_function_pointer.h</file> + <spec_file>dlib/bound_function_pointer/bound_function_pointer_kernel_abstract.h</spec_file> + <description> + This object represents a function with all its arguments bound to specific objects. + + <p> + This implementation is done using type erasure and placement new. This + means that it never allocates memory on the heap and instead stores everything + on the stack. + </p> + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>vectorstream</name> + <file>dlib/vectorstream.h</file> + <spec_file>dlib/vectorstream/vectorstream_abstract.h</spec_file> + <description> + This is an iostream object that reads and writes from an in-memory buffer. + It functions very much the same way as the std::stringstream object. + However, while the std::stringstream holds its buffer internally and it can + only be accessed by copying it out, the vectorstream uses an external + std::vector<char> as its buffer. That is, it holds a reference to an + external vector and does not contain any internal buffers of its own. + + <p> + This object is useful as a slightly more efficient alternative to the + std::stringstream since you can avoid the overhead of copying buffer + contents to and from the stream. This is particularly useful when used as + a source or target for <a href="#serialize">serialization</a> routines. + </p> + </description> + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>unserialize</name> + <file>dlib/vectorstream.h</file> + <spec_file>dlib/vectorstream/unserialize_abstract.h</spec_file> + <description> + This object effectively allows you to peek at the next serialized + object in an istream. It does this by allowing you to read an object + and then put it back. + </description> + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>member_function_pointer</name> + <file>dlib/member_function_pointer.h</file> + <spec_file>dlib/member_function_pointer/member_function_pointer_kernel_abstract.h</spec_file> + <description> + This object represents a member function pointer. It is useful because + instances of this object can be created without needing to know the type + of object whose member function we will be calling. + <p> + The implementation of this object is done using type erasure and placement new. This + means that it never allocates memory on the heap and instead stores everything + on the stack. + </p> + </description> + + <examples> + <example>member_function_pointer_ex.cpp.html</example> + </examples> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>make_mfp</name> + <file>dlib/member_function_pointer.h</file> + <spec_file>dlib/member_function_pointer/make_mfp_abstract.h</spec_file> + <description> + This function is a simple factory for creating <a href="#member_function_pointer">member_function_pointer</a> + objects without needing to know the necessary template arguments for the member_function_pointer. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>bit_stream</name> + <file>dlib/bit_stream.h</file> + <spec_file>dlib/bit_stream/bit_stream_kernel_abstract.h</spec_file> + <description> + This object represents a middle man between a user and the iostream classes that allows single + bits to be read/written easily from/to the iostream classes + </description> + + <implementations> + <implementation> + <name>bit_stream_kernel_1</name> + <file>dlib/bit_stream/bit_stream_kernel_1.h</file> + <description> + This implementation is done by buffering single bits in the obvious way. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for bit_stream_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + + <extensions> + <extension> + <name>bit_stream_multi</name> + <spec_file>dlib/bit_stream/bit_stream_multi_abstract.h</spec_file> + <description>This extension gives a bit_stream object the ability to read/write multiple bits at a time.</description> + <implementations> + <implementation> + <name>bit_stream_multi_1</name> + <file>dlib/bit_stream/bit_stream_multi_1.h</file> + <description>This implementation is done by calling the read/write functions in the bit_stream kernel.</description> + <typedefs> + <typedef> + <name>multi_1a</name> + <description>is a typedef for bit_stream_kernel_1 extended by bit_stream_multi_1</description> + </typedef> + </typedefs> + </implementation> + </implementations> + </extension> + </extensions> + + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>byte_orderer</name> + <file>dlib/byte_orderer.h</file> + <spec_file>dlib/byte_orderer/byte_orderer_kernel_abstract.h</spec_file> + <description> + This object provides a simple type safe mechanism to convert data + to and from network and host byte orders. I.e. to convert things + between big and little endian byte ordering. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>default_memory_manager</name> + <file>dlib/algs.h</file> + <spec_file link="true">dlib/algs.h</spec_file> + <description> + This is a memory manager object which simply calls new and delete directly (i.e. + it doesn't really do anything). It is the default memory manager used by most + of the objects in dlib. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>memory_manager_stateless</name> + <file>dlib/memory_manager_stateless.h</file> + <spec_file>dlib/memory_manager_stateless/memory_manager_stateless_kernel_abstract.h</spec_file> + <description> + This object represents some kind of stateless memory manager or memory pool. + Stateless means that all instances (instances of the same type that is) + of this object are identical and can be used interchangeably. Note that + implementations are allowed to have some shared global state such as a + global memory pool. This object is also thread safe. + </description> + + <implementations> + <implementation> + <name>memory_manager_stateless_kernel_1</name> + <file>dlib/memory_manager_stateless/memory_manager_stateless_kernel_1.h</file> + <description> + This implementation just calls new and delete. So it doesn't do anything special. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for memory_manager_stateless_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>memory_manager_stateless_kernel_2</name> + <file>dlib/memory_manager_stateless/memory_manager_stateless_kernel_2.h</file> + <description> + This implementation uses a global instance of a <a href="#memory_manager">memory_manager</a> object + guarded by a mutex as its implementation. + </description> + + <typedefs> + <typedef> + <name>kernel_2_1a</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_1a</description> + </typedef> + <typedef> + <name>kernel_2_1b</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_1b</description> + </typedef> + <typedef> + <name>kernel_2_1c</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_1c</description> + </typedef> + <typedef> + <name>kernel_2_1d</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_1d</description> + </typedef> + <typedef> + <name>kernel_2_1e</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_1e</description> + </typedef> + <typedef> + <name>kernel_2_1f</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_1f</description> + </typedef> + <typedef> + <name>kernel_2_2a</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_2a</description> + </typedef> + <typedef> + <name>kernel_2_2b</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_2b</description> + </typedef> + <typedef> + <name>kernel_2_2c</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_2c</description> + </typedef> + <typedef> + <name>kernel_2_2d</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_2d</description> + </typedef> + <typedef> + <name>kernel_2_2e</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_2e</description> + </typedef> + + <typedef> + <name>kernel_2_3a</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_3a</description> + </typedef> + <typedef> + <name>kernel_2_3b</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_3b</description> + </typedef> + <typedef> + <name>kernel_2_3c</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_3c</description> + </typedef> + <typedef> + <name>kernel_2_3d</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_3d</description> + </typedef> + <typedef> + <name>kernel_2_3e</name> + <description>is a typedef for memory_manager_stateless_kernel_2 that uses memory_manager_3e</description> + </typedef> + </typedefs> + + </implementation> + </implementations> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>memory_manager_global</name> + <file>dlib/memory_manager_global.h</file> + <spec_file>dlib/memory_manager_global/memory_manager_global_kernel_abstract.h</spec_file> + <description> + This object represents some kind of global memory manager or memory pool. + </description> + + <implementations> + <implementation> + <name>memory_manager_global_kernel_1</name> + <file>dlib/memory_manager_global/memory_manager_global_kernel_1.h</file> + <description> + This is implemented in the obvious way. See the code for details. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for memory_manager_global_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + </implementations> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>memory_manager</name> + <file>dlib/memory_manager.h</file> + <spec_file>dlib/memory_manager/memory_manager_kernel_abstract.h</spec_file> + <description> + This object represents a memory pool. + </description> + + <implementations> + <implementation> + <name>memory_manager_kernel_1</name> + <file>dlib/memory_manager/memory_manager_kernel_1.h</file> + <description> + This memory manager implementation allocates objects one at a time when there are + allocation requests. Then when there is a deallocate request the returning object + is placed into a list of free blocks if that list has less than max_pool_size + blocks in it. Subsequent allocation requests will be serviced by drawing from the + free list whenever it isn't empty. Array allocations, on the other hand, are not + managed at all but are passed directly on to new and delete. + <p> + When this object's max_pool_size template parameter is set to 0 it simply calls + new and delete directly and doesn't function as a memory pool. + </p> + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for memory_manager_kernel_1 with a max_pool_size of 0</description> + </typedef> + <typedef> + <name>kernel_1b</name> + <description>is a typedef for memory_manager_kernel_1 with a max_pool_size of 10</description> + </typedef> + <typedef> + <name>kernel_1c</name> + <description>is a typedef for memory_manager_kernel_1 with a max_pool_size of 100</description> + </typedef> + <typedef> + <name>kernel_1d</name> + <description>is a typedef for memory_manager_kernel_1 with a max_pool_size of 1000</description> + </typedef> + <typedef> + <name>kernel_1e</name> + <description>is a typedef for memory_manager_kernel_1 with a max_pool_size of 10000</description> + </typedef> + <typedef> + <name>kernel_1f</name> + <description>is a typedef for memory_manager_kernel_1 with a max_pool_size of 100000</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>memory_manager_kernel_2</name> + <file>dlib/memory_manager/memory_manager_kernel_2.h</file> + <description> + This memory manager implementation allocates memory in blocks of chunk_size*sizeof(T) + bytes. All the sizeof(T) sub-blocks are kept in a linked list of free memory blocks + and are given out whenever an allocation request occurs. Also, memory is not freed + until this object is destructed. + Also note that array allocations are not managed at all but are passed directly + on to new and delete. + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for memory_manager_kernel_2 with a chunk_size of 10</description> + </typedef> + <typedef> + <name>kernel_2b</name> + <description>is a typedef for memory_manager_kernel_2 with a chunk_size of 100</description> + </typedef> + <typedef> + <name>kernel_2c</name> + <description>is a typedef for memory_manager_kernel_2 with a chunk_size of 1000</description> + </typedef> + <typedef> + <name>kernel_2d</name> + <description>is a typedef for memory_manager_kernel_2 with a chunk_size of 10000</description> + </typedef> + <typedef> + <name>kernel_2e</name> + <description>is a typedef for memory_manager_kernel_2 with a chunk_size of 100000</description> + </typedef> + </typedefs> + + </implementation> + + <implementation> + <name>memory_manager_kernel_3</name> + <file>dlib/memory_manager/memory_manager_kernel_3.h</file> + <description> + This memory manager implementation allocates memory in blocks of chunk_size*sizeof(T) + bytes. All the sizeof(T) sub-blocks are kept in a linked list of free memory blocks + and are given out whenever an allocation request occurs. Note that array allocations + are managed. So this object is just like kernel_2 but it also pools memory from + array allocations (chunk_size has no effect with respect to array allocations, each array + is allocated one at a time). + Also, memory is not freed until this object is destructed. + </description> + + <typedefs> + <typedef> + <name>kernel_3a</name> + <description>is a typedef for memory_manager_kernel_3 with a chunk_size of 10</description> + </typedef> + <typedef> + <name>kernel_3b</name> + <description>is a typedef for memory_manager_kernel_3 with a chunk_size of 100</description> + </typedef> + <typedef> + <name>kernel_3c</name> + <description>is a typedef for memory_manager_kernel_3 with a chunk_size of 1000</description> + </typedef> + <typedef> + <name>kernel_3d</name> + <description>is a typedef for memory_manager_kernel_3 with a chunk_size of 10000</description> + </typedef> + <typedef> + <name>kernel_3e</name> + <description>is a typedef for memory_manager_kernel_3 with a chunk_size of 100000</description> + </typedef> + </typedefs> + + </implementation> + </implementations> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>sync_extension</name> + <file>dlib/sync_extension.h</file> + <spec_file>dlib/sync_extension/sync_extension_kernel_abstract.h</spec_file> + <description> + + This object represents a general extension to any object. This object gives any object which it extends + an integrated rmutex and rsignaler object. The extended object will + then be able to be treated as if it was also a <a href="dlib/threads/rmutex_extension_abstract.h.html#rmutex">rmutex</a> and + <a href="dlib/threads/rsignaler_extension_abstract.h.html#rsignaler">rsignaler</a>. + + </description> + + <implementations> + <implementation> + <name>sync_extension_kernel_1</name> + <file>dlib/sync_extension/sync_extension_kernel_1.h</file> + <description> + This is implemented using a <a href="dlib/threads/rmutex_extension_abstract.h.html#rmutex">rmutex</a> + and <a href="dlib/threads/rsignaler_extension_abstract.h.html#rsignaler">rsignaler</a> in the obvious way. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for sync_extension_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>timeout</name> + <file>dlib/timeout.h</file> + <spec_file>dlib/timeout/timeout_abstract.h</spec_file> + <description> + This object provides a simple way to implement a timeout. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>timer</name> + <file>dlib/timer.h</file> + <spec_file>dlib/timer/timer_abstract.h</spec_file> + <description> + This object represents a timer that will call a given member function + repeatedly at regular intervals. + <p> + The implementation of this object has a single master thread + that does all the waiting. This master thread creates and + dispatches threads to specific timer objects when they need + to run their action functions. When a timer object isn't + executing its action function then it doesn't have any thread + allocated to it at all. So it is fairly efficient. + </p> + </description> + + <examples> + <example>timer_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>database</name> + <file>dlib/sqlite.h</file> + <spec_file link="true">dlib/sqlite/sqlite_abstract.h</spec_file> + <description> + This object is a C++ wrapper around a SQLite database connection + handle and therefore represents a <a href="http://www.sqlite.org">SQLite</a> database file. + + <p> + Note that this wrapper is targeted at SQLite Version 3. To use it + you must make sure you link your application with SQLite. However, + if you use CMake and dlib's default CMakeLists.txt file then it will get setup + automatically. This is assuming sqlite3 is properly installed on your system. + On ubuntu you can get it by installing the libsqlite3-dev package. Or you can always + download the <a href="http://www.sqlite.org/download.html">SQLite source</a> + and compile it straight into your application (download the amalgamation). + </p> + </description> + <examples> + <example>sqlite_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>statement</name> + <file>dlib/sqlite.h</file> + <spec_file link="true">dlib/sqlite/sqlite_abstract.h</spec_file> + <description> + This object represents a SQL statement which can be executed + against a <a href="#database">database</a> object. In particular, this object is a + C++ wrapper around a <a href="http://www.sqlite.org">SQLite</a> prepared statement. + <p> + Note that this wrapper is targeted at SQLite Version 3. To use it + you must make sure you link your application with SQLite. + </p> + </description> + <examples> + <example>sqlite_ex.cpp.html</example> + </examples> + + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>transaction</name> + <file>dlib/sqlite.h</file> + <spec_file link="true">dlib/sqlite/sqlite_tools_abstract.h</spec_file> + <description> + This object is a tool for creating exception safe + <a href="#database">database</a> transactions. + </description> + <examples> + <example>sqlite_ex.cpp.html</example> + </examples> + + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>deserialize</name> + <file>dlib/serialize.h</file> + <spec_file>dlib/serialize.h</spec_file> + <description> + This is actually a set of overloaded functions which provide the ability to restore an object's state + from an input stream. Currently all dlib container classes, non pointer C++ intrinsics, std::string, + std::vector, std::map, std::set, std::complex, dlib::bigint, dlib::uint64, dlib::int64, C style arrays, and dlib::vector objects are serializable. + <p> + You can also use serialize() and deserialize() to read/write Google protocol buffer objects. However, + note that dlib::serialize() writes additional delimiting bytes at the start of each protocol buffer message. + We do this because Google protocol buffers are not + <a href="https://developers.google.com/protocol-buffers/docs/techniques#streaming">self-delimiting</a> + on their own. This means that you can't write more than one protocol buffer object to an output stream + unless you include some kind of delimiter between the messages. + So dlib takes care of this for you by prefixing each message with its length in bytes. In particular, + the number of bytes is encoded as a 32bit little endian integer. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>serialize</name> + <file>dlib/serialize.h</file> + <spec_file>dlib/serialize.h</spec_file> + <description> + This is actually a set of overloaded functions which provide the ability to save an object's state + to an output stream. Currently all dlib container classes, non pointer C++ intrinsics, std::string, + std::vector, std::map, std::set, std::complex, dlib::bigint, dlib::uint64, dlib::int64, C style arrays, and dlib::vector objects are serializable. + <p> + You can also use serialize() and deserialize() to read/write Google protocol buffer objects. However, + note that dlib::serialize() writes additional delimiting bytes at the start of each protocol buffer message. + We do this because Google protocol buffers are not + <a href="https://developers.google.com/protocol-buffers/docs/techniques#streaming">self-delimiting</a> + on their own. This means that you can't write more than one protocol buffer object to an output stream + unless you include some kind of delimiter between the messages. + So dlib takes care of this for you by prefixing each message with its length in bytes. In particular, + the number of bytes is encoded as a 32bit little endian integer. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>ramdump</name> + <file>dlib/serialize.h</file> + <spec_file link="true">dlib/serialize.h</spec_file> + <description> + This is a type decoration used to indicate that serialization should be + done by simply dumping the memory of some object to disk as fast as + possible without any sort of conversions. This means that the data written + will be "non-portable" in the sense that the format output by a RAM dump + may depend on things like the endianness of your CPU or settings of certain + compiler switches. + + <p> + You use this object like this: + <code_box> +serialize("yourfile.dat") << ramdump(yourobject); +deserialize("yourfile.dat") >> ramdump(yourobject); </code_box> + or + <code_box> +serialize(ramdump(yourobject), out); +deserialize(ramdump(yourobject), in); </code_box> + + Also, not all objects have a ramdump mode. If you try to use ramdump on an + object that does not define a serialization dump for ramdump you will get a + compiler error. + </p> + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>check_serialized_version</name> + <file>dlib/serialize.h</file> + <spec_file link="true">dlib/serialize.h</spec_file> + <description> + This function deserializes a string and checks if it matches a user supplied + string (the version). If they don't match then dlib::serialization_error is + thrown. The point of this function is to make checking version strings in + serialized files a little more convenient. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>dlib_testing_suite</name> + <description> + <p> + This library comes with a command line driven regression test suite. All the testing code + is located in the <chm>dlib/test</chm><web><a href="dlib/test">dlib/test</a></web> folder. If you want to build it and test the library on your + system you can use the makefile at <a href="dlib/test/makefile">dlib/test/makefile</a> (you may + have to edit it to make it work on your system) or use the CMake CMakeLists.txt file at + <a href="dlib/test/CMakeLists.txt.html">dlib/test/CMakeLists.txt</a> to build it. + </p> + <p> + What you may find more useful however is the testing framework itself. It uses a fairly simple + and modular design. Each test is contained in its own cpp file and when compiled into the + program it automatically shows up in the list of tests to run. If you want to use the + testing framework all you need to do is add the files <a href="dlib/test/tester.h.html">dlib/test/tester.h</a>, + <a href="dlib/test/tester.cpp.html">dlib/test/tester.cpp</a>, and <a href="dlib/test/main.cpp.html">dlib/test/main.cpp</a> + to your project and then add cpp files that contain your tests (see + <a href="dlib/test/example.cpp.html">dlib/test/example.cpp</a> and + <a href="dlib/test/example_args.cpp.html">dlib/test/example_args.cpp</a> + for some examples). + </p> + <p> + From the command line you can choose to run all the installed tests, enable or disable the loggers, + set various logging levels, specify how many times to run the tests, or pick just one or two tests + to run at a time rather than the entire suite. + The output of the program, that is, its return value from main() is the number of + failed tests. So if every test succeeds then it returns 0. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>MATLAB</name> + <description> + dlib contains a tool that makes it easy to call C++ code from MATLAB. It's + documented in the examples in the dlib/matlab folder. In particular, the + <a href="dlib/matlab/example_mex_function.cpp.html">dlib/matlab/example_mex_function.cpp</a>, + <a href="dlib/matlab/example_mex_callback.cpp.html">dlib/matlab/example_mex_callback.cpp</a>, and + <a href="dlib/matlab/example_mex_struct.cpp.html">dlib/matlab/example_mex_struct.cpp</a> + examples. + You can also easily compile these files using CMake. See the instructions in the README file + in the dlib/matlab folder for further details. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>Java</name> + <description> + dlib contains some CMake scripts and related tools that make calling C++ code + from Java easy. If you look in the <a href="https://github.com/davisking/dlib/tree/master/dlib/java">dlib/java</a> folder you can find a CMake + project that uses SWIG to build some C++ code and then call it from Java. In + particular, if you run the run_test.sh script it will build and run the code, + calling it from java. + + <p> + The dlib/java folder also contains some SWIG aware C++ classes that make + interacting with java arrays (e.g. double[]) from C++ efficient and easy. + See the documentation at the top of the <a href="dlib/java/java_array.h.html">java_array.h</a> file for details. + </p> + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>TIME_THIS</name> + <file>dlib/time_this.h</file> + <spec_file>dlib/time_this.h</spec_file> + <description> + <p> + This is a macro function for timing blocks of code. Its form is <tt>TIME_THIS(whatever you want to time)</tt> + It's pretty straight forward. It just prints the time it took to std::cout. + </p> + <p> + There is another version of this function called TIME_THIS_TO which takes as a parameter an ostream + object to write its output to. Its form is <tt>TIME_THIS_TO(what you want to time, the output stream)</tt>; + </p> + + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>timing code blocks</name> + <file>dlib/timing.h</file> + <spec_file>dlib/timing.h</spec_file> + <description> + This is a set of set of functions for timing blocks of code. Unlike + <a href="#TIME_THIS">TIME_THIS</a>, it can be used to find the cumulative + time spent on a block which is executed multiple times. + </description> + + </component> + + + <!-- ************************************************************************* --> + + + </components> + + <!-- ************************************************************************* --> + + +</doc> diff --git a/ml/dlib/docs/docs/parsing.xml b/ml/dlib/docs/docs/parsing.xml new file mode 100644 index 000000000..b993acaae --- /dev/null +++ b/ml/dlib/docs/docs/parsing.xml @@ -0,0 +1,652 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Parsing</title> + + <!-- ************************************************************************* --> + + <body> + + <p> + This page documents the objects and functions that in some way deal with parsing or otherwise + manipulating text. + Everything here follows the same conventions as the rest of the library. + </p> + + + + </body> + + <!-- ************************************************************************* --> + + <menu width="150"> + <top> + <section> + <name>Objects</name> + <item>cmd_line_parser</item> + <item>config_reader</item> + <item>cpp_pretty_printer</item> + <item>cpp_tokenizer</item> + <item>tokenizer</item> + <item>xml_parser</item> + <item>base64</item> + <item>unichar</item> + <item>ustring</item> + <item>basic_utf8_ifstream</item> + + </section> + + <section> + <name>Global Functions</name> + <item>string_cast</item> + <item>string_assign</item> + <item>cast_to_string</item> + <item>pad_int_with_zeros</item> + <item>cast_to_wstring</item> + <item>wrap_string</item> + <item>narrow</item> + <item>trim</item> + <item>ltrim</item> + <item>rtrim</item> + <item>pad</item> + <item>lpad</item> + <item>rpad</item> + <item>split_on_first</item> + <item>split_on_last</item> + <item>left_substr</item> + <item>right_substr</item> + <item>split</item> + <item>tolower</item> + <item>toupper</item> + <item>convert_utf8_to_utf32</item> + <item>is_combining_char</item> + <item>strings_equal_ignore_case</item> + </section> + </top> + </menu> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <components> + + + + <!-- ************************************************************************* --> + + <component> + <name>toupper</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a function to convert a string to all uppercase. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>tolower</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a function to convert a string to all lowercase. + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>split_on_first</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + Breaks a string into two parts. The split point is selected based + on the first occurrence of a delimiter character. + </description> + + </component> + + <!-- ************************************************************************* --> + <component> + <name>split_on_last</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + Breaks a string into two parts. The split point is selected based + on the last occurrence of a delimiter character. + </description> + + </component> + + <!-- ************************************************************************* --> + <component> + <name>split</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + Breaks a string into a sequence of substrings delimited + by a user specified set of characters. + </description> + + </component> + + <!-- ************************************************************************* --> + <component> + <name>right_substr</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a function to return the part of a string to the right of a user supplied delimiter. + </description> + + </component> + + <!-- ************************************************************************* --> + <component> + <name>left_substr</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a function to return the part of a string to the left of a user supplied delimiter. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rpad</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a function to pad whitespace (or user specified characters) onto the right most end of a string. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>lpad</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a function to pad whitespace (or user specified characters) onto the left most end of a string. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>pad</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a function to pad whitespace (or user specified characters) onto the ends of a string. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>rtrim</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a function to remove the whitespace (or user specified characters) from the right most end of a string. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>ltrim</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a function to remove the whitespace (or user specified characters) from the left most end of a string. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>trim</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a function to remove the whitespace (or user specified characters) from the ends of a string. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>narrow</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a function for converting a string of type std::string or std::wstring + to a plain std::string. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>wrap_string</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + wrap_string is a function that takes a string and breaks it into a number of + lines of a given length. You can use this to make a string + fit nicely into a command prompt window for example. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>strings_equal_ignore_case</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + This is a pair of functions to do a case insensitive comparison between strings. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cast_to_wstring</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + cast_to_string is a templated function which makes it easy to convert arbitrary objects to + std::wstring strings. The types supported are any types that can be written to std::wostream via + operator<<. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cast_to_string</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + cast_to_string is a templated function which makes it easy to convert arbitrary objects to + std::string strings. The types supported are any types that can be written to std::ostream via + operator<<. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>pad_int_with_zeros</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + Converts an integer into a string and pads it with leading zeros. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>string_cast</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + string_cast is a templated function which makes it easy to convert strings to + other types. The types supported are any types that can be read by the basic_istream operator>>. It + also supports casting between wstring, string, and ustring objects. + </description> + </component> + + <!-- ************************************************************************* --> + + <component> + <name>string_assign</name> + <file>dlib/string.h</file> + <spec_file link="true">dlib/string/string_abstract.h</spec_file> + <description> + string_assign is an object which makes it easy to convert strings to + other types. The types supported are any types that can be read by the basic_istream operator>>. It + also supports casting between wstring, string, and ustring objects. Since + string_assign is a simple stateless object there is a global instance of it + called dlib::sa. + </description> + <examples> + <example>config_reader_ex.cpp.html</example> + </examples> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>unichar</name> + <file>dlib/unicode.h</file> + <spec_file link="true">dlib/unicode/unicode_abstract.h</spec_file> + <description> + This is a typedef for an unsigned 32bit integer which we use to store + Unicode values. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>basic_utf8_ifstream</name> + <file>dlib/unicode.h</file> + <spec_file link="true">dlib/unicode/unicode_abstract.h</spec_file> + <description> + This object represents an input file stream much like the + normal std::ifstream except that it knows how to read UTF-8 + data. So when you read characters out of this stream it will + automatically convert them from the UTF-8 multibyte encoding + into a fixed width wide character encoding. + + <p> + There are also two typedefs of this object. The first is utf8_wifstream which is a + typedef for wchar_t as the wide character to read into. The second is utf8_uifstream + which uses unichar instead of wchar_t. + </p> + </description> + + </component> + + + <!-- ************************************************************************* --> + + <component> + <name>ustring</name> + <file>dlib/unicode.h</file> + <spec_file link="true">dlib/unicode/unicode_abstract.h</spec_file> + <description> + This is a typedef for a std::basic_string<unichar>. That is, it is a typedef + for a string object that stores unichar Unicode characters. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>is_combining_char</name> + <file>dlib/unicode.h</file> + <spec_file link="true">dlib/unicode/unicode_abstract.h</spec_file> + <description> + This is a global function that can tell you if a character is a Unicode + combining character or not. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>convert_utf8_to_utf32</name> + <file>dlib/unicode.h</file> + <spec_file link="true">dlib/unicode/unicode_abstract.h</spec_file> + <description> + This is a global function that can convert UTF-8 strings into strings + of 32bit unichar characters. + </description> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>base64</name> + <file>dlib/base64.h</file> + <spec_file>dlib/base64/base64_kernel_abstract.h</spec_file> + <description> + This object allows you to encode and decode data to and from + the Base64 Content-Transfer-Encoding defined in section 6.8 of + rfc2045. + </description> + + <examples> + <example>file_to_code_ex.cpp.html</example> + </examples> + </component> + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>cmd_line_parser</name> + <file>dlib/cmd_line_parser.h</file> + <spec_file>dlib/cmd_line_parser/cmd_line_parser_kernel_abstract.h</spec_file> + <description> + This object allows you to easily parse a command line. Note that the + documentation for the <a href="dlib/interfaces/cmd_line_parser_option.h.html">cmd_line_parser_option</a> + (the object returned by the parser's .option() function) is in a separate file. + <p> + Note also that there are standard typedefs for the ASCII and wide character versions of the + cmd_line_parser template. These are the <tt>command_line_parser</tt> and <tt>wcommand_line_parser</tt> + types respectively. + </p> + </description> + + <examples> + <example>compress_stream_ex.cpp.html</example> + <example>train_object_detector.cpp.html</example> + </examples> + + <extensions> + <extension> + <name>get_option</name> + <spec_file>dlib/cmd_line_parser/get_option_abstract.h</spec_file> + <description>This extension provides a convenience function for accessing the + options to a command line argument or a <a href="#config_reader">config_reader</a>. It + is automatically #included when using the command line parser or config reader. + </description> + </extension> + </extensions> + + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>config_reader</name> + <file>dlib/config_reader.h</file> + <spec_file>dlib/config_reader/config_reader_kernel_abstract.h</spec_file> + <description> + This object represents something which is intended to be used to read + text configuration files. + </description> + + <examples> + <example>config_reader_ex.cpp.html</example> + </examples> + + <extensions> + <extension> + <name>config_reader_thread_safe</name> + <spec_file>dlib/config_reader/config_reader_thread_safe_abstract.h</spec_file> + <description> + This object extends a normal config_reader by simply wrapping all + its member functions inside mutex locks to make it safe to use + in a threaded program. + </description> + </extension> + </extensions> + + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>cpp_pretty_printer</name> + <file>dlib/cpp_pretty_printer.h</file> + <spec_file>dlib/cpp_pretty_printer/cpp_pretty_printer_kernel_abstract.h</spec_file> + <description> + This object represents an HTML pretty printer for C++ source code. + </description> + + <implementations> + <implementation> + <name>cpp_pretty_printer_kernel_1</name> + <file>dlib/cpp_pretty_printer/cpp_pretty_printer_kernel_1.h</file> + <description> + This is implemented by using the <a href="#cpp_tokenizer">cpp_tokenizer</a> object. + This is the pretty printer I use on all the source in this library. It applies a color scheme, turns + include directives such as #include "file.h" into links to file.h.html and puts HTML anchor points + on function and class declarations. It also looks for comments starting with /*!A and puts an anchor + before the comment using the word following the A as the name of the anchor. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for cpp_pretty_printer_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + <implementation> + <name>cpp_pretty_printer_kernel_2</name> + <file>dlib/cpp_pretty_printer/cpp_pretty_printer_kernel_2.h</file> + <description> + This is implemented by using the <a href="#cpp_tokenizer">cpp_tokenizer</a> object. + It applies a black and white color scheme suitable + for printing on a black and white printer. It also places the document title + prominently at the top of the pretty printed source file. + </description> + + <typedefs> + <typedef> + <name>kernel_2a</name> + <description>is a typedef for cpp_pretty_printer_kernel_2</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>cpp_tokenizer</name> + <file>dlib/cpp_tokenizer.h</file> + <spec_file>dlib/cpp_tokenizer/cpp_tokenizer_kernel_abstract.h</spec_file> + <description> + This object represents a simple tokenizer for C++ source code. + </description> + + <implementations> + <implementation> + <name>cpp_tokenizer_kernel_1</name> + <file>dlib/cpp_tokenizer/cpp_tokenizer_kernel_1.h</file> + <description> + This is implemented by using the <a href="#tokenizer">tokenizer</a> object in the obvious way. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for cpp_tokenizer_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + <!-- ************************************************************************* --> + + <component checked="true"> + <name>tokenizer</name> + <file>dlib/tokenizer.h</file> + <spec_file>dlib/tokenizer/tokenizer_kernel_abstract.h</spec_file> + <description> + This object represents a simple tokenizer for textual data. + </description> + + <implementations> + <implementation> + <name>tokenizer_kernel_1</name> + <file>dlib/tokenizer/tokenizer_kernel_1.h</file> + <description> + This is implemented in the obvious way. + </description> + + <typedefs> + <typedef> + <name>kernel_1a</name> + <description>is a typedef for tokenizer_kernel_1</description> + </typedef> + </typedefs> + + </implementation> + + </implementations> + + </component> + + <!-- ************************************************************************* --> + + <component> + <name>xml_parser</name> + <file>dlib/xml_parser.h</file> + <spec_file>dlib/xml_parser/xml_parser_kernel_abstract.h</spec_file> + <description> + + This object represents a simple SAX style event driven XML parser. + It takes its input from an input stream object and sends events to all + registered document_handler and error_handler objects. + <br/><br/> + + The xml_parser object also uses the interface classes + <a href="dlib/xml_parser/xml_parser_kernel_interfaces.h.html#document_handler">document_handler</a> + and + <a href="dlib/xml_parser/xml_parser_kernel_interfaces.h.html#error_handler">error_handler</a>. + Subclasses of these classes are passed to the xml_parser which generates events while it's + parsing and sends them to the appropriate handler. + + </description> + + <examples> + <example>xml_parser_ex.cpp.html</example> + </examples> + </component> + + + <!-- ************************************************************************* --> + + </components> + + <!-- ************************************************************************* --> + + +</doc> diff --git a/ml/dlib/docs/docs/plus.gif b/ml/dlib/docs/docs/plus.gif Binary files differnew file mode 100644 index 000000000..2d15c1417 --- /dev/null +++ b/ml/dlib/docs/docs/plus.gif diff --git a/ml/dlib/docs/docs/python/conf.py b/ml/dlib/docs/docs/python/conf.py new file mode 100644 index 000000000..c8a2a963b --- /dev/null +++ b/ml/dlib/docs/docs/python/conf.py @@ -0,0 +1,246 @@ +# -*- coding: utf-8 -*- +# +# dlib documentation build configuration file, created by +# sphinx-quickstart on Wed Jun 12 18:29:29 2013. +# +# This file is execfile()d with the current directory set to its containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import sys, os + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +sys.path.insert(0, os.path.abspath('.')) +sys.path.insert(0, os.path.abspath('../../../build/lib.linux-x86_64-2.7')) + +import generate_dlib_listing +generate_dlib_listing.make_listing_files() + +# -- General configuration ----------------------------------------------------- + +# If your documentation needs a minimal Sphinx version, state it here. +#needs_sphinx = '1.0' + +# Add any Sphinx extension module names here, as strings. They can be extensions +# coming with Sphinx (named 'sphinx.ext.*') or your custom ones. +extensions = ['sphinx.ext.autodoc'] + +# Add any paths that contain templates here, relative to this directory. +templates_path = ['_templates'] + +# The suffix of source filenames. +source_suffix = '.rst' + +# The encoding of source files. +#source_encoding = 'utf-8-sig' + +# The master toctree document. +master_doc = 'index' + +# General information about the project. +project = u'dlib' +copyright = u'2013, Davis E. King' + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The short X.Y version. +#version = '18.3' +# The full version, including alpha/beta/rc tags. +#release = '18.3' + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +#language = None + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +#today = '' +# Else, today_fmt is used as the format for a strftime call. +#today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ['_build'] + +# The reST default role (used for this markup: `text`) to use for all documents. +#default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +#add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +#add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +#show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = 'sphinx' + +# A list of ignored prefixes for module index sorting. +#modindex_common_prefix = [] + + +# -- Options for HTML output --------------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = 'default' + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +#html_theme_options = {} + +# Add any paths that contain custom themes here, relative to this directory. +#html_theme_path = [] + +# The name for this set of Sphinx documents. If None, it defaults to +# "<project> v<release> documentation". +#html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +#html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +#html_logo = None + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +#html_favicon = None + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ['_static'] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +#html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +#html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +#html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +#html_additional_pages = {} + +# If false, no module index is generated. +#html_domain_indices = True + +# If false, no index is generated. +#html_use_index = True + +# If true, the index is split into individual pages for each letter. +#html_split_index = False + +# If true, links to the reST sources are added to the pages. +#html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +#html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +#html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a <link> tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +#html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +#html_file_suffix = None + +# Output file base name for HTML help builder. +htmlhelp_basename = 'dlibdoc' + + +# -- Options for LaTeX output -------------------------------------------------- + +latex_elements = { +# The paper size ('letterpaper' or 'a4paper'). +#'papersize': 'letterpaper', + +# The font size ('10pt', '11pt' or '12pt'). +#'pointsize': '10pt', + +# Additional stuff for the LaTeX preamble. +#'preamble': '', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, author, documentclass [howto/manual]). +latex_documents = [ + ('index', 'dlib.tex', u'dlib Documentation', + u'Davis', 'manual'), +] + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +#latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +#latex_use_parts = False + +# If true, show page references after internal links. +#latex_show_pagerefs = False + +# If true, show URL addresses after external links. +#latex_show_urls = False + +# Documents to append as an appendix to all manuals. +#latex_appendices = [] + +# If false, no module index is generated. +#latex_domain_indices = True + + +# -- Options for manual page output -------------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + ('index', 'dlib', u'dlib Documentation', + [u'Davis'], 1) +] + +# If true, show URL addresses after external links. +#man_show_urls = False + + +# -- Options for Texinfo output ------------------------------------------------ + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ('index', 'dlib', u'dlib Documentation', + u'Davis', 'dlib', 'One line description of project.', + 'Miscellaneous'), +] + +# Documents to append as an appendix to all manuals. +#texinfo_appendices = [] + +# If false, no module index is generated. +#texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +#texinfo_show_urls = 'footnote' diff --git a/ml/dlib/docs/docs/python/generate_dlib_listing.py b/ml/dlib/docs/docs/python/generate_dlib_listing.py new file mode 100644 index 000000000..2aaff2458 --- /dev/null +++ b/ml/dlib/docs/docs/python/generate_dlib_listing.py @@ -0,0 +1,32 @@ +from __future__ import print_function +import dlib +import inspect + +def print_element(name, fc, ff): + isclass = inspect.isclass(eval(name)) + ismodule = inspect.ismodule(eval(name)) + if (isclass): + print("* :class:`{0}`".format(name), file=fc) + elif (not ismodule): + print("* :func:`{0}`".format(name), file=ff) + +def make_listing_files(): + + fc = open('classes.txt', 'w') + ff = open('functions.txt', 'w') + + for obj in dir(dlib): + if obj[0] == '_': + continue + print_element('dlib.'+obj, fc, ff) + + for obj in dir(dlib.cuda): + if obj[0] == '_': + continue + print_element('dlib.cuda.'+obj, fc, ff) + + for obj in dir(dlib.image_dataset_metadata): + if obj[0] == '_': + continue + print_element('dlib.image_dataset_metadata.'+obj, fc, ff) + diff --git a/ml/dlib/docs/docs/python/index.rst b/ml/dlib/docs/docs/python/index.rst new file mode 100644 index 000000000..6ad2d3d5b --- /dev/null +++ b/ml/dlib/docs/docs/python/index.rst @@ -0,0 +1,45 @@ + +.. image:: ../dlib-logo.png + :alt: Dlib C++ Library + :target: http://dlib.net + +Dlib is principally a C++ library, however, you can use a number of its tools +from python applications. This page documents the python API for working with +these dlib tools. If you haven't done so already, you should probably look at +the python example programs first before consulting this reference. These +example programs are little mini-tutorials for using dlib from python. They +are listed on the left of the main dlib web page. + +Classes +============================================== + +.. include:: classes.txt + +Functions +============================================== + +.. include:: functions.txt + + +Detailed API Listing +============================================== + +.. toctree:: + :maxdepth: 2 + +.. automodule:: dlib + :members: + :undoc-members: + +.. automodule:: dlib.cuda + :members: + :undoc-members: + +.. automodule:: dlib.image_dataset_metadata + :members: + :undoc-members: + + + + + diff --git a/ml/dlib/docs/docs/rbf_big_gamma.gif b/ml/dlib/docs/docs/rbf_big_gamma.gif Binary files differnew file mode 100644 index 000000000..7885d655b --- /dev/null +++ b/ml/dlib/docs/docs/rbf_big_gamma.gif diff --git a/ml/dlib/docs/docs/rbf_normal.gif b/ml/dlib/docs/docs/rbf_normal.gif Binary files differnew file mode 100644 index 000000000..810fd52af --- /dev/null +++ b/ml/dlib/docs/docs/rbf_normal.gif diff --git a/ml/dlib/docs/docs/rbf_small_gamma.gif b/ml/dlib/docs/docs/rbf_small_gamma.gif Binary files differnew file mode 100644 index 000000000..24baaff63 --- /dev/null +++ b/ml/dlib/docs/docs/rbf_small_gamma.gif diff --git a/ml/dlib/docs/docs/release_notes.xml b/ml/dlib/docs/docs/release_notes.xml new file mode 100644 index 000000000..2bb03580e --- /dev/null +++ b/ml/dlib/docs/docs/release_notes.xml @@ -0,0 +1,4437 @@ +<?xml version="1.0" encoding="UTF-8"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Release notes</title> + <body> + + +<release_notes> + +<!-- ************************************************************************************** --> + +<current> +New Features and Improvements: + - Deep Learning: + - Added scale_ layer, allowing implementation of squeeze-and-excitation networks. + - Added loss_multimulticlass_log: used for learning a collection of multi-class classifiers. + - Added a random forest regression tool. See random_forest_regression_trainer. + - Added make_bounding_box_regression_training_data() + - Added isotonic_regression + - Added momentum_filter, rect_filter, find_optimal_momentum_filter(), and + find_optimal_rect_filter(). + - Added binomial_random_vars_are_different() and event_correlation(). + - Added xcorr_fft(), a routine for efficiently performing large cross-correlations using the FFT. + - Added the ramdump type decorator for invoking faster serialization routines. + - Added check_serialized_version() + - Added max_scoring_element() and min_scoring_element() + - Made orthogonalize() faster. + - Updates to the Python API: + - Added interface to the global_function_search object. This is a more general + interface to the solver used by find_max_global(). + - Added support for variadic Python functions in find_max_global(). + - Added rect_filter and find_optimal_rect_filter(). + - Added make_bounding_box_regression_training_data() + - Added the image_dataset_metadata routines for parsing XML datasets. + - Added rvm_trainer + - Added probability_that_sequence_is_increasing() + - Added dlib.__time_compiled__ field + - Added num_threads to shape_predictor_training_options. + - Added CUDA controlling routines such as set_device() and + set_dnn_prefer_smallest_algorithms(). + +Non-Backwards Compatible Changes: + - Changed CMake so that there is only the dlib target and it isn't forced to + be static. Instead, the build type will toggle based on the state of CMake's + BUILD_SHARED_LIBS variable. So there is no longer a dlib_shared target. + - Changed the integer types used to represent sizes from 32bits to 64bits in numerous + places, such as in the tensor object. This should be a backwards compatible change + for nearly all client code. + +Bug fixes: + - Fixed memory leak in java swig array binding tool. + - Fixed windows include order problem in all/source.cpp file. + - Fixed cont_ layers not printing the correct num_filters parameter when they were + printed to std::cout or to XML. + - Fixed some code not handling OBJECT_PART_NOT_PRESENT values correctly. + - Fixed fft_inplace() not compiling for compile time sized matrices. + - The shape_predictor_trainer could have very bad runtime for some really + bad parameter settings. This has been fixed and also warning messages about + really bad training data or parameters have been added. + - Fixed the decayed running stats objects so they use unbiased estimators. + +</current> + +<!-- ************************************************************************************** --> + +<old name="19.9" date="Jan 22, 2018"> +New Features and Improvements: + - Switched the Python API from Boost.Python to pybind11. This means Python + users don't need to install Boost anymore, making building dlib's Python API + much easier. + - Made the sparse version of svd_fast() use multiple CPU cores. + - Changed the behavior of imglab's --flip option. It will now attempt to + adjust any object part labels so that the flipped dataset has the same + average part layout as the source dataset. There is also a new --flip-basic + option that behaves like the old --flip. However, most people flipping a + dataset with part annotations will want to use --flip. For more details + see: http://blog.dlib.net/2018/01/correctly-mirroring-datasets.html + +Non-Backwards Compatible Changes: + - Removed std::auto_ptr from dlib's old (and depreciated) smart pointers. + +Bug fixes: + - Fixed global_optimization.py not working in Python 3. + +</old> + +<!-- ************************************************************************************** --> + +<old name="19.8" date="Dec 19, 2017"> +New Features and Improvements: + - Added a global optimizer, find_max_global(), which is suitable for + optimizing expensive functions with many local optima. For example, you + can use it for hyperparameter optimization. See model_selection_ex.cpp + for an example. + - Updates to the deep learning tooling: + - Added semantic segmentation examples: dnn_semantic_segmentation_ex.cpp + and dnn_semantic_segmentation_train_ex.cpp + - New layers: loss_ranking, loss_epsilon_insensitive, softmax_all, and loss_dot. + - Made log loss layers more numerically stable. + - Upgraded the con layer so you can set the number of rows or columns to + 0 in the layer specification. Doing this means "make the filter cover + the whole input image dimension". This provides an easy way to make a + filter sized so it will have one output along that dimension, + effectively making it like a fully connected layer operating on a row + or column. + - Added support for non-scale-invariant MMOD. + - Added an optional parameter to dnn_trainer::get_net() that allows you + to call the function without forcing a state flush to disk. + - Sometimes the loss_mmod layer could experience excessively long runtime + during early training iterations. This has been optimized and is now + much faster. + - Optimized the tensor's management of GPU memory. It now uses less memory + in some cases. It will also not perform a reallocation if resized to a + smaller size. Instead, tensors now behave like std::vector in that + they just change their nominal size but keep the same memory, only + reallocating if they are resized to something larger than their + underlying memory block. This change makes some uses of dlib faster, in + particular, running networks on a large set of images of differing + sizes will now run faster since there won't be any GPU reallocations, + which are notoriously slow. + - Upgraded the input layer so you can give + input<std::array<matrix<T>,K>> types as input. Doing + this will create input tensors with K channels. + - Added disjoint_subsets_sized + - Added Python APIs: get_face_chips(), count_steps_without_decrease(), + count_steps_without_decrease_robust(), and jitter_image(). + - Various improvements to CMake scripts: e.g. improved warning and error + messages, added USE_NEON_INSTRUCTIONS option. + - chol() will use a banded Cholesky algorithm for banded matrices, making it + much faster in these cases. + - Changed the timing code to use the C++11 high resolution clock and + atomics. This makes the timing code a lot more precise. + +Non-Backwards Compatible Changes: + - Changed the random_cropper's set_min_object_size() routine to take min box + dimensions in the same format as the mmod_options object (i.e. two lengths + measured in pixels). This should make defining random_cropping strategies + that are consistent with MMOD settings more straightforward since you can + simply take the mmod_options settings and give them to the random_cropper + and it will do the right thing. + - Changed the mean squared loss layers to return a loss that's the MSE, not + 0.5*MSE. The only thing this effects is the logging messages that print + during training, which were confusing since the reported loss was half the + size you might naively expect. + - Changed the outputs of test_regression_function() and cross_validate_regression_trainer(). + These functions now output 4D rather than 2D vectors. The new output is: + mean squared error, correlation, mean absolute error, and standard + deviation of absolute error. I also made test_regression_function() take + a non-const reference to the regression function so that DNN objects can + be tested. + - Fixed shape_predictor_trainer padding so it behaves as it used to. In + dlib 19.7 the padding code was changed and accidentally doubled the size + of the applied padding in some cases. It's not a huge deal either way, but + this change reverts back to the previous behavior. + +Bug fixes: + - Fixed toMat() not compiling in some cases. + - Significantly reduced the compile time of the DNN example programs in + visual studio. + - Fixed a few image processing functions that weren't using the generic + image interface. + - Fixed a bug in the random_cropper where it might crash due to division by + 0 if small images were given as input. + - Fixed a bug in how the mmod_options automatically determines detection + window sizes. It would pick a bad size in some cases. + - Fixed load_image_dataset()'s skip_empty_images() option. It wasn't + skipping images that only have ignore boxes when you load into mmod_rect + objects. + - Fixed a bug where chinese_whispers(), when called from python, would + sometimes return a labels array that didn't include labels for all the + inputs. + - Fixed a bug in dlib's MS Windows GUI code that was introduced a little + while back when we switched everything to std::shared_ptr. This change + fixes a bug where the program crashes or hangs sometimes during program + shutdown. + - Fixed error in TIME_THIS() introduced in dlib 19.7. It was printing + seconds when it said minutes in the output. + - Adding missing implementation of tabbed_display::selected_tab. + - Changed the windows signaler and mutex code to use the C++11 thread + library instead of the old win32 functions. I did this to work around how + windows unloads dlls. In particular, during dll unload windows will kill + all threads, THEN it will destruct global objects. So this can lead to + problems when a global object that owns threads tries to tell them to + shutdown, since the threads have already vanished. The new code mitigates + some of these problems, in particular, there were some cases where + unloading dlib's python extension would deadlock. This should now be + fixed. + - Fixed compile time errors when either of these macros were enabled: + DLIB_STACK_TRACE, DLIB_ISO_CPP_ONLY. + +</old> + +<!-- ************************************************************************************** --> + +<old name="19.7" date="Sep 17, 2017"> +New Features and Improvements: + - Deep Learning: + - The CNN+MMOD detector is now a multi-class detector. In particular, + the mmod_rect object now has a string label field which you can use to + label objects, and the loss_mmod_ layer will learn to label objects with + those labels. For an example, see: https://www.youtube.com/watch?v=OHbJ7HhbG74 + - CNN+MMOD detectors are now 2.5x faster. For instance, this example program + http://dlib.net/dnn_mmod_find_cars_ex.cpp.html now runs at 98fps instead + of 39fps. + - Added a 5 point face landmarking model that is over 10x smaller than the + 68 point model, runs faster, and works with both HOG and CNN generated + face detections. It is now the recommended landmarking model to use for + face alignment. render_face_detections() and get_face_chip_details() have been + updated to work with both 5 and 68 point models, so the new 5 point model is + a drop in replacement for the 68 point model. + - The imglab tool is slightly improved. It will display box labels with + higher relative contrast. You can also now press END or i to ignore boxes + in imglab. This is useful because it's a much less stressing hand motion + to hit END that i in most cases. + - Added overloads of sub_image() that take raw pointers so you can make + sub_images of anything. + - Changed TIME_THIS() to use std::chrono::high_resolution_clock, so now it's + much higher precision. + - Exposed Chinese whispers clustering to Python, added face clustering example. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed an error in input_rgb_image_pyramid::image_contained_point(). The + function might erroneously indicate that a point wasn't inside the original + image when really it was, causing spurious error messages. + - mmod_options would pick bad window sizes in some corner cases. This has been fixed. + - Fixed a bug in the extract layer that trigged when a tensor with a + different number of samples than the tensor used to initialize the network + was passed through the layer. + - The loss_per_missed_target parameter of the loss_mmod_ wasn't being used + exactly right when boxes were auto-ignored. There weren't any practical + user facing problems due to this, but it has nevertheless been fixed. + +</old> + +<!-- ************************************************************************************** --> + +<old name="19.6" date="Aug 28, 2017"> +New Features and Improvements: + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fix build error in Visual Studio when CUDA is enabled. + +</old> + +<!-- ************************************************************************************** --> + +<old name="19.5" date="Aug 27, 2017"> +New Features and Improvements: + - Deep Learning + - Added a python wrapper for using the CNN face detector. + - Added support for cuDNN v6 and v7. + - Added a simple tool to convert dlib model files to caffe models. + See the tools/convert_dlib_nets_to_caffe folder for details. + - New DNN layers + - loss_multiclass_log_per_pixel_ + - loss_multiclass_log_per_pixel_weighted_ + - loss_mean_squared_per_pixel_ + - cont_ (transpose convolution, sometimes called "deconvolution") + - mult_prev_ (like add_prev_ but multiplies instead of adds) + - extract_ (sort of like caffe's slice layer) + - upsample_ (upsamples a tensor using bilinear interpolation) + - Object Detection + - Upgraded loss_mmod_ to support objects of varying aspect ratio. This + changes the API for the mmod_options struct slightly. + - Relaxed the default non-max suppression parameters used by the + mmod_options object so that users of the deep learning MMOD tool don't + get spurious errors about impossibly labeled objects during training. + - Added missing input validation to loss_mmod_. Specifically, the loss + layer now checks if the user is giving truth boxes that can't be detected + because the non-max suppression settings would prevent them from being + output at the same time. If this happens then we print a warning message + and set one of the offending boxes to "ignore". I also changed all + the input validation errors to warning messages with auto conversion + to ignore boxes rather than exceptions. + - Changed the random_cropper's interface so that instead of talking in + terms of min and max object height, it's now min and max object size. + This way, if you have objects that are short and wide (i.e. objects where + the relevant dimension is width rather than height) you will get sensible + behavior out of the random cropper. + - Added options to input_rgb_image_pyramid that let the user set + create_tiled_pyramid()'s padding parameters. Also changed the default + outer border padding from 0 to 11. This effects even previously trained + models. So any model that doesn't explicitly set the outer patting to + something else will have a padding of 11. This should be a more + reasonable value for most networks. + - Added process() and process_batch() to add_loss_layer. These routines + let you easily pass arguments to any optional parameters of a loss + layer's to_tensor() routine. For instance, it makes it more convenient to + set loss_mmod_'s adjust_threshold parameter. + - Added visit_layers_until_tag() + - Improved how dnn_trainer synchronizes its state to disk. It now uses + two files and alternates between them. This should be more robust in + the face of random hardware failure during synchronization than the + previous synchronization method. + - Made it so you can set the number of output filters for con_ layers at runtime. + - The way cuDNN work buffers are managed has been improved, leading to + less GPU RAM usage. Therefore, users should not need to call + set_dnn_prefer_smallest_algorithms() anymore. + - Added operator<< for random_cropper and dnn_trainer to allow + easy logging of training parameters. + - Made concat_ layer a lot faster. + - Made the dnn_trainer not forget all the previous loss values it knows + about when it determines that there have been a lot of steps without + progress and shrinks the learning rate. Instead, it removes only a + small amount of the oldest values. The problem with the old way of + removing all the loss values in the history was that if you set the + steps without progress threshold to a really high number you would + often observe that the last few learning rate values were obviously not + making progress, however, since all the previous loss values were + forgotten the trainer needed to fully populate its loss history from + scratch before it would figure this out. This new style makes the + trainer not waste time running this excessive optimization of obviously + useless mini-batches. I also changed the default + get_test_iterations_without_progress_threshold() from 200 to 500. Now + that we have a better history management of loss values in the trainer + it's much more sensible to have a larger value here. + - Dlib's simd classes will now use ARM NEON instructions. This makes the + HOG based object detector faster on mobile devices running ARM processors. + - Added last_modified() method to dlib::file. Also, added + select_oldest_file() and select_newest_file(). + - Added solve_qp_box_constrained_blockdiag() + - Added an overload of mat() that takes a row stride value. + - Added cmake scripts and some related tooling that makes it easy to call + C++ code from java. See dlib/java/ folder. + - MATLAB MEX wrapper API + - Made the mex wrapper deal with cell arrays that have null elements. + - Made ctrl+c detection in a mex file work more reliably in newer versions of matlab. + - Added set_rect_area() + - Gave test_object_detection_function() an option to set how ignore box + overlap is tested. + - Added serialization support for the running_stats_decayed object. + - Additions to imglab + - Added --sort and also the ability to propagate boxes from one image to + the next using dlib::correlation_tracker. + - Made it so you can remove images by pressing alt+d. + - Made is so pressing e in imglab toggles between views of the image + where the histogram is equalized or unmodified. This way, if you are + looking at particularly dark or badly contrasted images you can toggle + this mode and maybe get a better view of what you are labeling. + - Made the attribute_list of the xml parser a little more friendly by + allowing you to ask for attributes that don't exist and get a defined + behavior (an exception being thrown) rather than it being a contract + violation. + +Non-Backwards Compatible Changes: + - DNN solver objects are now required to declare operator<<. + - Broke backwards compatibility with previous dnn_trainer serialization + format. The network serialization format has not changed however. So old + model files will still load properly. + - Changed random_cropper interface. + - Changed the XML format output by net_to_xml(). Specifically, the XML tag + for affine layers was changed to use the same conventions as other layers + that support convolutional vs fully connected modes. + - Dlib's smart pointers have been deprecated and all of dlib's code has been + changed to use the std:: version of these smart pointers. The old dlib + smart pointers are still present, allowing users to explicitly include + them if needed, but users should migrate to the C++11 standard version of + these tools. + - Changed the functions that transform between input tensor coordinates and + output tensor coordinates to use dpoint instead of point. This way, we can + obtain sub-pixel coordinates if we need them. + - Upgraded loss_mmod_ to support objects of varying aspect ratio. This + changes the API for the mmod_options struct slightly. + +Bug fixes: + - Made resize_image() and functions that use it like the pyramid objects + produce better results when run on float and double images. There was + needless rounding to integers happening in the bilinear interpolation. Now + if you work with a float image the entire process will run without integer + rounding. + - Made the input_tensor_to_output_tensor() and output_tensor_to_input_tensor() + coordinate mappings work on networks that contain skip layers. + - The input_rgb_image_sized is supposed to be convertible to + input_rgb_image, which it was in all ways except you couldn't deserialize + directly like you would expect. This has now been fixed. + - There was a bug in the concat_ layer's backward() method. It was assigning + the gradient to previous layers instead of adding the gradient, as required + by the layer interface specification. Probably no-one has been impacted + by this bug, but it's still a bug and has been fixed. + - Changed the random_cropper so that it samples background patches uniformly + across scales regardless of the input image size. Previously, if you gave + really large images or really small images it had a bias towards giving only + large patches or small patches respectively. + - Fixed name lookup problem for calls to serialize() on network objects. + - Fixed double delete in tokenizer_kernel_1. + - Fixed error in pyramid_down<2> that caused the output image to be a + little funny looking in some cases. + - Fixed the visit_layers_backwards() and visit_layers_backwards_range() + routines so they visit layers in the correct order. + - Made build scripts work on a wider range of platforms and configurations. + - Worked around global timer cleanup issues that occur on windows when dlib + is used in a dll in some situations. + - Fixed various compiler errors in obscure environments. + +</old> + +<!-- ************************************************************************************** --> + +<old name="19.4" date="Mar 07, 2017"> +New Features: + +Non-Backwards Compatible Changes: + - CMake 2.8.12 is now required to build dlib (but only if you use CMake). + +Bug fixes: + - Fixed a slow memory leak that could occur when using cuDNN. + +Other: +</old> + +<!-- ************************************************************************************** --> + +<old name="19.3" date="Feb 21, 2017"> +New Features: + - Deep Learning + - Added a state-of-the-art face recognition tool (99.38% accuracy on the + LFW benchmark) with C++ and Python example programs. + - Added these new loss layer types: loss_metric_, loss_mean_squared_, and + loss_mean_squared_multioutput_. + - Added the l2normalize_ computational layer. + - Added test_one_step() to the dnn_trainer. This allows you to do + automatic early stopping based on observing the loss on held out data. + - Made the dnn_trainer automatically reload from the last good state if a + loss of NaN is encountered. + - Made alias_tensor usable when it is const. + - Dlib's simd classes will now use PowerPC VSX instructions. This makes the + HOG based object detector faster on PowerPC machines. + - Added compute_roc_curve() + - Added find_gap_between_convex_hulls() + - Added serialization support for std::array. + - Added running_scalar_covariance_decayed object + - Added running_stats_decayed object + - Added min_pointwise() and max_pointwise(). + - Added a 1D clustering routine: segment_number_line(). + - Added Intel MKL FFT bindings. + - Added matlab_object to the mex wrapper. Now you can have parameters that + are arbitrary matlab objects. + - Added support for loading of RGBA JPEG images + +Non-Backwards Compatible Changes: + - Changed the loss layer interface to use two typedefs, output_label_type + and training_label_type instead of a single label_type. This way, the label + type used for training can be distinct from the type output by the network. + This change breaks backwards compatibility with the previous API. + +Bug fixes: + - Fixed compiler warnings and errors on newer compilers. + - Fixed a bug in the repeat layer that caused it to throw exceptions in some + cases. + - Fixed matlab crashing if an error message from a mex file used the % + character, since that is interpreted by matlab as part of an eventual + printf() code. + - Fixed compile time error in random_subset_selector::swap() + - Fixed missing implementation of map_input_to_output() and + map_output_to_input() in the concat_ layer. + - Made the dnn_trainer's detection and backtracking from situations with + increasing loss more robust. Now it will never get into a situation where it + backtracks over and over. Instead, it will only backtrack a few times in a + row before just letting SGD run unimpeded. + +Other: + - Usability improvements to DNN API. + - Improved C++11 detection, especially on OS X. + - Made dlib::thread_pool use std::thread and join on the threads in + thread_pool's destructor. The previous implementation used dlib's global + thread pooling to allocate threads to dlib::thread_pool, however, this + sometimes caused annoying behavior when used as part of a MATLAB mex file, + very occasionally leading to matlab crashes when mex files were unloaded. + This also means that dlib::thread_pool construction is a little bit slower + than it used to be. +</old> + +<!-- ************************************************************************************** --> + +<old name="19.2" date="Oct 10, 2016"> +New Features: + - Updates to the deep learning API: + - Added tools for making convolutional neural network based object detectors. See + dnn_mmod_ex.cpp example program. + - Added annotation() to tensor so you can associate any object you want with a tensor. + - Made layer_details() part of the SUBNET interface so that user defined layer + details objects can access each other. Also added the input_layer() global function + for accessing the input layer specifically. + - alias_tensor can now create aliases of const tensors. + - Added set_all_bn_running_stats_window_sizes(). + - Added visit_layers_backwards(), visit_layers_backwards_range(), and + visit_layers_range(). + - Computational layers can now optionally define map_input_to_output() and + map_output_to_input() member functions. If all layers of a network provide these + functions then the new global functions input_tensor_to_output_tensor() and + output_tensor_to_input_tensor() can be used to map between the network's input and + output tensor coordinates. This is important for fully convolutional object + detectors since they need to map between the image space and final feature space. + These new functions are important for tools like the new MMOD detector. + - Added input_rgb_image_pyramid. + - Image Processing + - The imglab command line tool has these new options: --min-object-size, --rmempty, + --rmlabel, --rm-if-overlaps, and --sort-num-objects. I also changed the behavior of + --split so that it simply partitions the data and is an invertible operation. + - Added mmod_rect + - Added an overload of load_image_dataset() that outputs directly to mmod_rect + instead of rectangle. + - Added image_dataset_file::shrink_big_images(). So now load_image_dataset() can load + a dataset of high resolution files at a user requested lower resolution. + - Added box_intersection_over_union(). + - Added create_tiled_pyramid(), image_to_tiled_pyramid(), and tiled_pyramid_to_image(). + - Added random_cropper + - Upgraded dlib's mex wrapper tooling to enable easy binding of C++ classes to MATLAB + objects. + - Added nearest_rect() + - Added find_upper_quantile() + - Added count_steps_without_decrease_robust(). + - Added get_double_in_range() to dlib::rand. + +Non-Backwards Compatible Changes: + - C++11 is now required to use dlib. + - Changed pinv() so it interprets its tol argument relative to the largest singular + value of the input matrix rather than as an absolute tolerance. This should generally + improve results, but could change the output in some cases. + - Renamed the class members of test_box_overlap so they are less confusing. + - Updates to the deep learning API: + - Changed the DNN API so that sample_expansion_factor is a runtime variable rather + than a compile time constant. This also removes it from the input layer interface + since the DNN core now infers its value at runtime. Therefore, users that define their + own input layers don't need to specify it anymore. + - Changed DEFAULT_BATCH_NORM_EPS from 1e-5 to 1e-4. + - Changed the default batch normalization running stats window from 1000 to 100. + +Bug fixes: + - Made the relational operators constexpr so they don't accidentally cause compilation + errors when they get pulled into the scope of template metaprogramming expressions. + - Fixed all/source.cpp not compiling in some instances. + - CMake scripts now do a better job detecting things like C++11 support, the presence of + CUDA, and other system specific details that could cause the build to fail if not + properly configured. + - Fixed a bug in imglab's --cluster option where it would output xml files with empty + entries if the input xml file contained unannotated images. + - Fixed imglab's --cluster option not working with relative paths. + +Other: + - Made the thread local variables that hold the cudnn and cublas context objects not + destruct and recreate themselves when you switch devices. Instead, they keep a table + of context objects, for each thread and device, reusing as necessary. This prevents + churn in the context objects when you are switching back and forth between devices + inside a single thread, making things run more efficiently for some CUDA based + workflows. + - Made the message argument of the DLIB_ASSERT and DLIB_CASSERT macros optional. + - Made thread_pool and parallel_for propagate exceptions from task threads to calling + code rather than killing the application if a task thread throws. + - Changed imglab --resample so that it never changes the aspect ratio of an image. + - Made the check in dnn_trainer for convergence more robust. Previously, if we + encountered a bad mini-batch that made the loss value suddenly jump up by a larger than + normal value it could make the trainer think we converged. Now the test is robust to + transient spikes in loss value. Additionally, the dnn_trainer will now check if the + loss has been increasing before it saves the state to disk. If it detects that the loss + has been going up then instead of saving to disk it recalls the previously good state. + This way, if we hit a really bad mini-batch during training which negatively effects + the model in a significant way, the dnn_trainer will automatically revert back to an + earlier good state. +</old> + +<!-- ************************************************************************************** --> + +<old name="19.1" date="Aug 13, 2016"> +New Features: + - Support for cuDNN 5.1 + - dlib::async() and dlib::default_thread_pool(). + - rectangle_transform + - imglab tool: added --resample, --ignore, --files, and --extract-chips + command line options. Also added convert_imglab_paths_to_relative and + copy_imglab_dataset scripts. + - Evgeniy Fominov made the shape_predictor trainer multi-threaded and faster. + - sutr90 contributed support for the CIELab color space. See the new lab_pixel. + +Non-Backwards Compatible Changes: + - All the cmake utility scripts were moved to dlib/cmake_utils. + - Code that #includes the shape_predictor can now only be compiled with + compilers that support C++11 lambda functions. + +Bug fixes: + - Made CMake scripts work in a wider range of environments. + - Fixed compile time errors on various platforms. + - Fixed bad multi-threading support in the MATLAB mex wrapper. + - Fixed bug in cuDNN binding that could sometimes cause NaN outputs. + - Fixed bad convergence testing in DNN tooling for very small datasets. + +Other: +</old> + +<!-- ************************************************************************************** --> + +<old name="19.0" date="Jun 25, 2016"> +New Features: + - A deep learning toolkit using CPU and/or GPU hardware. Some major elements + of this are: + - Clean and fully documented C++11 API + - Clean tutorials: see dnn_introduction_ex.cpp and dnn_introduction2_ex.cpp + - Uses cuDNN v5.0 + - Multi-GPU support + - Automatic learning rate adjustment + - A pretrained 1000 class Imagenet classifier (see dnn_imagenet_ex.cpp) + - Optimization Tools + - Added find_optimal_parameters() + - Added elastic_net class + - Added the option to use the elastic net regularizer to the OCA solver. + - Added an option to solve the L2-loss version of the SVM objective function to svm_c_linear_dcd_trainer. + - Added solve_qp_box_constrained() + - Image Processing + - Added random_color_transform, disturb_colors(), and apply_random_color_offset(). + - load_image() now supports loading GIF files. + - Many improvements to the MATLAB binding API + - Automatically link to MATLAB's Intel MKL when used on linux. + - struct support + - mex functions can have up to 20 arguments instead of 10. + - In place operation. Made column major matrices directly wrap MATLAB + matrix objects when used inside mex files. This way, if you use + matrix_colmajor or fmatrix_colmajor in a mex file it will not do any + unnecessary copying or transposing. + - Catch ctrl+c presses in MATLAB console. Allowing early termination of mex functions. + - When used inside mex files, DLIB_ASSERTS won't kill the MATLAB process, + just throw an exception. + - Made cerr print in MATLAB as a red warning message. + - load_mnist_dataset() + - Added a constructor for seeding rand with a time_t. + - Added subm_clipped() + - Added unserialize. + - Added running_gradient + +Non-Backwards Compatible Changes: + - Everything in dlib/matlab/call_matlab.h is now in the dlib namespace. + - DLIB_TEST() and DLIB_TEST_MSG() macros now require you to terminate them with a ; + +Bug fixes: + - Fixed bug in 10 argument version of call_matlab() and also cleaned up a few + minor things. + - setup.py and CMake scripts work in a few more contexts. + - Fixed compiler errors in visual studio 2015. + - Fixed a bug in gaussian_blur() that caused messed up outputs when big + sigma values were used on some pixel types. + - Fixed minor bugs in join_rows() and join_cols(). They didn't work when one + of the matrices was empty. + +Other: + - Made CMake scripts uniformly require CMake version 2.8.4. + - Faster fHOG feature extraction / face detection + - CMake scripts now enable C++11 by default + - Gave array2d and matrix move constructors and move assignment operators. Matrix + can also now be created from initializer lists. +</old> + +<!-- ************************************************************************************** --> + +<old name="18.18" date="Oct 28, 2015"> +New Features: + - Added the set_ptrm() routine for assigning dlib::matrix objects to arbitrary + memory blocks. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a bug that caused cmake to not provide the correct preprocessor + definitions until cmake was run twice. This was causing some projects to + not build properly. + +Other: + - Improvements to build system: + - Ehsan Azarnasab contributed a setup.py so the dlib Python API can be + installed via the usual 'python setup.py install' command. + - Séverin Lemaignan upgraded dlib's CMake scripts so they include an + install target. Now dlib can be installed system wide by executing + 'cmake PATH_TO_DLIB; make install'. This also includes installing the + appropriate scripts for CMake's find_package(dlib) to work. +</old> + +<!-- ************************************************************************************** --> + +<old name="18.17" date="Aug 15, 2015"> +New Features: + - More clustering tools: + - Added bottom_up_cluster() and find_clusters_using_angular_kmeans() + routines. + - Added a --cluster option to the imglab tool. This lets you cluster + objects into groups of similar appearance/pose. + - Improved the shape_predictor. In particular, it can now be learned from + datasets where some landmarks are missing. The shape_predictor also now + outputs a sparse feature vector that encodes which leafs are used on each + tree to make a prediction. + +Non-Backwards Compatible Changes: + - extract_highdim_face_lbp_descriptors() produces slightly different output. + +Bug fixes: + - Fixed a minor bug in extract_highdim_face_lbp_descriptors() which was + pointed out by Yan Xu. One of the face locations was mistakenly used twice + while another was skipped. This change breaks backwards compatibility with + the previous feature extraction output but should slightly improve + accuracy of classifiers trained using these features. + - Fixed jet() and heatmap() so they work on empty images. + - The SQLite transaction object did not function correctly when compiled + in a C++11 program. Since its destructor can throw, an exception + specification needed to be added indicating that this was possible since + destructors are now noexcept by default in C++11. + - Fixed a bug pointed out by Ernesto Tapia that could cause matrix + expressions that involve sub matrix views (e.g. colm) to produce the wrong + results when the BLAS bindings were enabled. + - Added an if to avoid a possible division by zero inside spectral_cluster(). + - Fixed a bug in parse_xml(). It failed to check if the given input stream + was valid before trying to parse it. + +Other: + +</old> + +<!-- ************************************************************************************** --> + +<old name="18.16" date="Jun 3, 2015"> +New Features: + - Added a linear model predictive control solver. See the mpc_ex.cpp example + program for details. + - Thanks to Patrick Snape, the correlation_tracker can now be used from Python. + +Non-Backwards Compatible Changes: + - The camera_transform's second operator() method now takes 3 arguments + instead of 2. This is to allow it to output the z distance in addition to + scale. + +Bug fixes: + - Fixed a bug in the eigenvalue_decomposition which could occur when a + symmetric matrix was used along with the LAPACK bindings. + - Fixed a bug where the last column of data in a file wasn't loaded on some + OS X machines when load_libsvm_formatted_data() was called. + +Other: + - Added a hard iteration limit to a number of the SVM solvers. + - Adrian Rosebrock graciously setup an OS X machine for dlib testing, which + resulted in improved CMake python scripts on OS X machines. + - Improved the way overlapping points are rendered by the perspective_window. + +</old> + +<!-- ************************************************************************************** --> + +<old name="18.15" date="Apr 29, 2015"> +New Features: + - Added a number of tools for working with 3D data: + - Added the perspective_window which is a tool for displaying 3D point clouds. + - Added camera_transform. It performs the 3D to 2D mapping needed to visualize 3D + data. + - Added point_transform_affine3d as well as functions for creating such transforms: + rotate_around_x(), rotate_around_y(), rotate_around_z(), and translate_point(). + - Added draw_solid_circle() for drawing on images. + - Added get_best_hough_point() to the hough_transform. + - Thanks to Jack Culpepper, the python API for object detection now outputs detection + confidences. + - Added lspi, an implementation of the least-squares policy iteration algorithm. + +Non-Backwards Compatible Changes: + - The shape_predictor and shape_predictor_trainer had a non-optimal behavior when used + with objects that have non-square bounding boxes. This has been fixed but will cause + models that were trained with the previous version of dlib to not work as accurately if + they used non-square boxes. So you might have to retrain your models when updating dlib. + +Bug fixes: + - Fixed a bug which prevented add_image_rotations() from compiling. + +Other: + - The imglab tool now allows the user to click and drag annotations around by holding + shift and right clicking. + +</old> + +<!-- ************************************************************************************** --> + +<old name="18.14" date="Mar 01, 2015"> +New Features: + - Added spectral_cluster() + - Added sub_image() and sub_image_proxy + - Added set_all_logging_headers() + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a bug that caused the correlation_tracker to erroneously trigger an assert when + run in debug mode. + +Other: + - Improved the usability of the new drectanle object. + - Optimized extract_fhog_features() for the case where cell_size==1. This makes it about + 4x faster in that case. + - Made it so you can compose point transform objects via operator *. + +</old> + +<!-- ************************************************************************************** --> + +<old name="18.13" date="Feb 03, 2015"> +New Features: + - Added the correlation_tracker object + - Added the option to force the last weight to 1 to structural_assignment_trainer. + - Added max_point_interpolated() + - Added the drectangle object + - New Python Tools: + - Patrick Snape contributed a Python binding for the face landmarking tool and + the general purpose shape prediction/training tools. + - Vinh Khuc contributed a Python binding for find_candidate_object_locations(), + dlib's implementation of the selective search object location proposal method. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a bug in extract_image_chips() and get_mapping_to_chip() that caused + incorrect outputs when the requested chip stretched the image unevenly + vertically or horizontally. + - Made CMake check that libpng and libjpeg actually contain the link symbols + they are supposed to since, on some systems, these libraries aren't + installed correctly and will cause linker errors if used. + - Fixed assign_border_pixels(img, rect) so that it correctly zeros an image + when an empty rectangle is supplied. Previously, it did nothing to the + image in this case. + - Fixed compute_lda_transform() so it works properly when the class + covariance matrices are singular even after performing PCA. + - Fixed a bug in find_similarity_transform(). When given just two points as + inputs it would sometimes produce a reflection rather than a similarity + transform. + - Disabled all bindings to FFTW because FFTW isn't threadsafe. + +Other: + - Added an example program for dlib's SQLite API and made a few minor + usability improvements to the API as well. + +</old> + +<!-- ************************************************************************************** --> + +<old name="18.12" date="Dec 20, 2014"> +New Features: + - Upgraded fft() and ifft() to support 2D matrices. + - Added hough_transform + - Added skeleton() for finding the skeletonization of a binary image. + - Added distance_to_line(), clip_line_to_rectangle(), min_point(), and max_point(). + - Added a simple API for calling C++ from MATLAB. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a compile time error that could happen when calling fft() for + certain input types. + - Fixed a compile time error that prevented auto_threshold_image() from + being used. + - Fixed name clashes with new version of Boost. + - Changed Python pickling code so it works with Python 3. + - Fixed CMake compile time error related to finding fftw. + +Other: + - Made extract_image_chips() much faster when extracting unscaled image chips. +</old> + +<!-- ************************************************************************************** --> + +<old name="18.11" date="Nov 13, 2014"> +New Features: + - Added save_jpeg() + - Added the option to use an identity matrix prior to vector_normalizer_frobmetric. + - Made the extract_image_chips() routine more flexible, in particular: Added + get_mapping_to_chip(), get_face_chip_details(), map_det_to_chip(), and also + upgraded chip_details so you can specify a chip extraction by a bunch of + point correspondences between the chip and the original image. + - Added a set of local-binary-pattern based feature extractors: + make_uniform_lbp_image(), extract_histogram_descriptors(), + extract_uniform_lbp_descriptors(), and extract_highdim_face_lbp_descriptors() + - Added compute_lda_transform() + - Added equal_error_rate() + - Added cast_to() to the type_safe_union. This allows you to get the + contents of a const type_safe_union. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Changed noncopyable.h to avoid a name clash with boost 1.56 + - On some platforms hostname_to_ip() would erroneously return 0.0.0.0. This + has been fixed. + +Other: +</old> + +<!-- ************************************************************************************** --> + +<old name="18.10" date="Aug 28, 2014"> +New Features: + - Added find_similarity_transform() + - Added the ability to upgrade a auto_mutex_readonly from a readonly lock to a write + lock. + - Added an implementation of the paper "One Millisecond Face Alignment with an Ensemble + of Regression Trees" by Vahid Kazemi and Josephine Sullivan which appeared in this + year's CVPR conference. Therefore, dlib now includes tools for learning shape models + and also comes with a state-of-the-art face landmark locator. See the + face_landmark_detection_ex.cpp and train_shape_predictor_ex.cpp example programs for + an introduction. + +Non-Backwards Compatible Changes: + - Made the interface to all the image processing routines more generic. In particular, + it is now easier to use arbitrary image types with dlib. The new generic image + interface is defined in dlib/image_processing/generic_image.h and simply consists of + seven user defined global functions and a traits template. Any user code that was + using array2d objects to represent images will still work. However, if you had been + using your own custom image object you will need to provide implementations of the + seven functions. Instructions for how to do this are in + dlib/image_processing/generic_image.h. + +Bug fixes: + - Changed the murmur hash implementation to avoid any possibility of strict aliasing + violations in user code, even when things get inlined in unfavorable ways. + - Fixed a color space handling bug in resize_image() that caused bad looking outputs in + some cases. + - If "cmake" was a substring of the full path to your source code folder then the cmake + scripts would fail. This has been fixed. + - Fixed a compile time error that could occur when using find_max_single_variable(). + +Other: + - load_image() now uses the internal file header information to detect the + image format rather than looking at the file extension. + - Renamed unit test program to dtest avoid warnings from CMake. + - cross_validate_trainer() and cross_validate_trainer_threaded() no loner make copies + of the training data. This significantly reduces their RAM usage for large datasets. + - Changed the serialization code for C-strings so that they don't save the null + terminator byte. This makes their serialization format the same as the format for + std::string. The code should still be able to read all previously serialized data + correctly, so the change is backwards compatible with previous versions of dlib. + - Changed the evaluate_detectors() routine so that it applies non-max suppression to + each detector individually. This way one detector doesn't stomp on the output of + another detector. + - Made the version of draw_line() that draws onto a regular image use alpha blending + for drawing diagonal lines. +</old> + +<!-- ************************************************************************************** --> + +<old name="18.9" date="Jun 16, 2014"> +New Features: + +Non-Backwards Compatible Changes: + +Bug fixes: + - The new simplified serialization API that works like serialize("filename")<<object + was not opening files in binary mode and therefore didn't work properly on Windows. + This has been fixed. + +Other: + +</old> + +<!-- ************************************************************************************** --> + +<old name="18.8" date="Jun 02, 2014"> +New Features: + - Added the ability to set a previously trained function as a prior to the + svm_multiclass_linear_trainer, svm_c_linear_trainer, and svm_rank_trainer + objects. + - Added a user settable loss to the structural_assignment_trainer and + structural_track_association_trainer objects. + - Added evaluate_detectors(), a function for efficiently running multiple fHOG + based object detectors. + - Added the new split_on_first() and split_on_last() string manipulation functions. + - Added locally_change_current_dir, a RAII tool for switching between directories. + - You can now make a 1x1 matrix containing a single value by calling mat() on a single + scalar value. + - The point transform functions and frobmetric_training_sample are now serializable. + - Added a simplified operator << and >> based syntax for serializing to and + from files. So now you can serialize to a file using a syntax of: + serialize("myfile.dat") << myobject << another_object; + and then load those objects from disk via: + deserialize("myfile.dat") >> myobject >> another_object; + An arbitrary number of objects can be serialized or deserialized by + chaining the << and >> operators. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a bug pointed out by Daniel Girardeau-Montaut. The covariance() + function didn't work on non-double valued matrices. + - Fixed a bug in the backtracking_line_search() function pointed out by + Ping-Chang Shih. The function ignored the max_iter parameter. + - Fixed a compiler error encountered when using clang 3.4 on Mac OS X 10.9. + Thanks to Martin Fergie for reporting this problem. + - Fixed a potential divide by zero in draw_fhog() + +Other: + - Added an example program showing how to set a custom logger output hook. + - Made linear decision_functions which use sparse vectors much faster. + +</old> + +<!-- ************************************************************************************** --> + +<old name="18.7" date="Apr 09, 2014"> +New Features: + - Added a Python API for working with fHOG based object detectors. See the + new python example programs train_object_detector.py and face_detector.py for + more details. + - Added the ability to use a user supplied fHOG style feature extractor with + the scan_fhog_pyramid object. So now you can define your own version of HOG + for use with these tools. + - The oca solver now supports taking a user supplied prior vector. That is, + it lets you use a regularizer like ||w-prior||^2 instead of the usual + ||w||^2 regularizer. + - Added the structural_track_association_trainer object. It is a structural + SVM tool for creating multi-target tracking algorithms. See the + learning_to_track_ex.cpp example program for an introduction. + - Added the following minor utility functions: nearest_center(), + add_image_rotations(), set_aspect_ratio(), and tile_images(). + +Non-Backwards Compatible Changes: + - Refactored the load_image_dataset() routines so they are easier to use and + more flexible. This introduces a slight backwards incompatibility in that + the version that loads full_object_detection objects now returns an ignore + rectangle set instead of a parts name list. Other than that the changes + are backwards compatible with previous versions of dlib. + - Added a bias term to the assignment_function's model so the user doesn't + need to remember, or even understand, that they should add it themselves. + However, this change breaks backwards compatibility with the previous + serialization format for assignment_function objects. + +Bug fixes: + - Fixed a number of compile time errors that could occur in rare cases. + - The stopping condition for the svr_linear_trainer was too tight, causing it + to take an excessive amount of time to converge in some cases. + - Disabled use of XIM for X11 windowing since it makes programs hang on some + systems. However, this means the wide character input methods won't work on + X11 systems anymore. + - Fixed a bug in randomize_samples() which caused the outputs to be not as + random as they should be. + - Fixed dlib's CMakeLists.txt file so that the "use FFTW" option actually + causes the build to use FFTW. + - Fixed a compile time error that triggered when trying to link with FFTW. + - mat() did not work correctly when used with std::vector<bool> objects. + This has been fixed. + +Other: + +</old> + +<!-- ************************************************************************************** --> + +<old name="18.6" date="Feb 03, 2014"> +New Features: + - Object Detection Tools: + - Added scan_fhog_pyramid, a tool for creating Histogram of Oriented Gradient (HOG) + based object detectors. + - Added get_frontal_face_detector(), a HOG based face detector. + - Added an option to include "ignore/don't care" truth boxes to the + structural_object_detection_trainer. This allows a user to tell the trainer that + they don't care if certain objects are detected or not detected. + - Image Processing Tools: + - Added extract_image_chips() + - Added a version of draw_rectangle() for drawing on images. + - The spatial filtering routines now support even sized filters. + - Added flip_image_dataset_left_right(), upsample_image_dataset(), and + rotate_image_dataset(). + - Machine Learning Tools: + - Added a nuclear norm regularization option to the structural SVM solver. + - Added the option to learn only non-negative weights to the + svm_multiclass_linear_trainer. + - Speed Improvements: + - The svm_multiclass_linear_trainer, one_vs_one_trainer, and one_vs_all_trainer + objects are now multithreaded. This also means you have to #include + dlib/svm_threaded.h instead of dlib/svm.h to use these tools. + - A number of image processing tools can now optionally use SSE and AVX instructions + and are therefore considerably faster. In particular, the following tools have been + accelerated: extract_fhog_features, resize_image, pyramid_down, pyramid_up, + spatially_filter_image_separable, and spatially_filter_image. + - Added an inv() routine that inverts point transformation functions. + - Added a sign() routine for matrix objects. + +Non-Backwards Compatible Changes: + - The spatial image filtering functions have the following changes: + - They no longer zero the image borders when you set the add_to parameter to true. + - The spatially_filter_image_separable_down() routine now only allows grayscale + output images. + - Changed the default parameters of the test_box_overlap object. Now it defaults to + using exactly the PASCAL VOC match criterion. + - To use the svm_multiclass_linear_trainer, one_vs_one_trainer, or one_vs_all_trainer + objects you now have to #include dlib/svm_threaded.h instead of dlib/svm.h. + - pyramid_up() no longer has a levels option. + +Bug fixes: + - Fixed a compile time bug that could occur when wide character strings were + serialized. + - Fixed a compile time bug occurring in gcc 4.7.1 on SUSE Linux. Thanks to Volker + Härtel for finding this. + - Fixed compile time errors that occurred when using gcc on cygwin. + - Fixed a compile time bug that could occur when serializing mlp objects. + - Fixed a bug in the bigint object that caused division to sometimes produce incorrect + results. + - Fixed a bug which sometimes caused load_image_dataset() to erroneously report that + the dataset file could not be found. + - Fixed a bug in the structural_object_detection_trainer that caused it to erroneously + throw a impossible_labeling_error exception in certain rare cases. + - Updated find_max_factor_graph_nmplp() to use the improved version of the algorithm + from the 2011 paper Introduction to dual decomposition for inference by David Sontag, + Amir Globerson, and Tommi Jaakkola. The original algorithm presented in their 2008 + paper had an error that negatively affected its convergence. Thanks to James Gunning + for pointing this out. + +Other: + - Fixed many compiler warnings in gcc 4.8. + - Made many of the mat() converters bind the resulting matrix expressions into BLAS + functions. + - libpng and libjpeg are now included in the dlib/external folder to enable easy static + linking to these libraries on platforms that typically don't have them (e.g. Windows). + Moreover, dlib's cmake files will automatically perform this static linking when no + copy of these libraries is found on the system. +</old> + +<!-- ************************************************************************************** --> + +<old name="18.5" date="Oct 22, 2013"> +New Features: + - Added routines for performing BFGS and L-BFGS optimization with box constraints. + See the new find_min_box_constrained() and find_max_box_constrained() routines. + - Added vector_normalizer_frobmetric. This is a tool for learning a + Mahalanobis distance metric. + - The user can now set different loss values for false alarming vs. getting a + correct detection when using the structural_sequence_segmentation_trainer. + - Added an overload of clamp() that lets you use matrix valued lower/upper bounds. + - New image processing tools: + - Added the scan_image_custom object, split_array(), and add_image_left_right_flips(). + - Added extract_fhog_features(), this is a function for computing + Felzenszwalb's 31 channel HOG image representation. + +Non-Backwards Compatible Changes: + - Refactored the image pyramid code. Now there is just one templated object called + pyramid_down and you give it the downsampling amount as a template argument. To make + old code work with this change use the following substitutions: + change pyramid_down to pyramid_down<2> + change pyramid_down_3_2 to pyramid_down<3> + change pyramid_down_4_3 to pyramid_down<4> + change pyramid_down_5_4 to pyramid_down<5> + +Bug fixes: + +Other: + - Made the structural SVM solver slightly faster. + - Moved the python C++ utility headers from tools/python/src into dlib/python. + - The PNG loader is now able to load grayscale images with an alpha channel. + - Removed checks that prevented users from using references to functions with the + optimization code and forced the use of function pointers. This was to avoid + triggering a bug in gcc 4.0. Since that compiler is no longer officially supported + by dlib I've removed these checks to increase usability. + - Made resize_image() use bilinear interpolation by default and also added a special + version of it that is optimized for this case. + - Dlib's cmake files will now automatically link to the Intel MKL on MS Windows + platforms if the MKL is installed. +</old> + +<!-- ************************************************************************************** --> + +<old name="18.4" date="Aug 14, 2013"> +New Features: + - Added Python interfaces to dlib's structural support vector machine solver and + Hungarian algorithm implementation. + - Added running_cross_covariance + - Added order_by_descending_distance() + - Added is_finite() + - Added the csv IO manipulator that lets you print a matrix in comma separated value + format. + +Non-Backwards Compatible Changes: + - Changed the object detector testing functions to output average precision instead of + mean average precision. + - Added an option to weight the features from a hashed_feature_image relative to the + number of times they occur in an image. I also made it the default behavior to use + this relative weighting and changed the serialization format to accommodate this. + +Bug fixes: + - Fixed typo in learn_platt_scaling(). The method wasn't using the exact prior + suggested by Platt's paper. + - Fixed a bug in running_scalar_covariance that caused the covariance() and + correlation() methods to output the wrong answer if the covariance was negative. + +Other: + - Gave the image_window the ability to tie the mouse and keyboard events together such + that it is possible for a user to listen for both simultaneously. + - A number of changes were made to the structural_svm_problem's code which make it + significantly faster in some cases. + - Added Steven Van Ingelgem's patch to the HTTP server which makes operations on HTTP + headers case-insensitive. + +</old> + +<!-- ************************************************************************************** --> + +<old name="18.3" date="June 21, 2013"> +New Features: + - Machine Learning: + - Added the svr_linear_trainer, a tool for solving large scale support vector + regression problems. + - Added a tool for working with BIO and BILOU style sequence taggers/segmenters. + This is the new sequence_segmenter object and its associated + structural_sequence_segmentation_trainer object. + - Added a python interface to some of the machine learning tools. These + include the svm_c_trainer, svm_c_linear_trainer, svm_rank_trainer, and + structural_sequence_segmentation_trainer objects as well as the cca() + routine. + - Added point_transform_projective and find_projective_transform(). + - Added a function for numerically integrating arbitrary functions, this is the + new integrate_function_adapt_simpson() routine which was contributed by + Steve Taylor + - Added jet(), a routine for coloring images with the jet color scheme. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a bug in hysteresis_threshold() that caused it to produce incorrect + outputs in some cases. + - Fixed a segmentation fault in the eigenvalue_decomposition object which + could occur when NaN valued inputs were given. + +Other: + - Made image saving routines work on matrix objects in addition to array2d objects. + - The machine learning page now contains a flow chart to help new users + select a machine learning tool appropriate for their task. + +</old> + +<!-- ************************************************************************************** --> + + +<old name="18.2" date="May 30, 2013"> +New Features: + - Object Detection Tools: + - Added another image scanning tool similar to scan_image_pyramid. This + is the new scan_image_boxes object. It allows a user to easily specify + an arbitrary set of object boxes which should be checked by an object + detector rather than scanning a fixed sized window over the image as is + done by the scan_image_pyramid tool. This allows more flexible scanning + strategies. For example, it is now possible to use the selective search + method implemented by the new find_candidate_object_locations() routine. + - Added the binned_vector_feature_image. + - Upgraded the object_detector so that you can use the adjust_threshold + argument for all versions of the operator() method. + - Added remove_unobtainable_rectangles() + - Hashing Tools: + - Added a set of new locality sensitive hashing functions meant for use + with larger vectors and higher bit sizes than the current LSH tools. + These are the new hash_similar_angles_xxx objects. + - Added find_k_nearest_neighbors_lsh() and hash_samples() + - Added create_max_margin_projection_hash() + - New Matrix Routines: linpiece(), fft(), and ifft() + - Added numeric constants and additional statistics to the running_stats + object. This code was contributed by Steve Taylor. + - Added the image_window::get_next_keypress() routine. This tool allows a + user to easily find out which keyboard key the user is pressing. + +Non-Backwards Compatible Changes: + - Changed the object_detector interface slightly. In particular, it no + longer adds the adjust_threshold argument to the output scores. + - The object detector testing functions now output mean average precision in + addition to precision and recall. + - Changed how dlib does serialization in a number of ways: + - The running_stats and scan_image_pyramid objects have had their + serialization format changed in a way that breaks backwards + compatibility. This means serialized versions of these objects can't be + loaded by the new version of dlib. + - Changed the format dlib uses when it serializes floating point values. + Previously, we used an ASCII based format. Dlib now uses a much more + efficient binary format. However, the deserialization routines have + been made backwards compatible with the previous format. So dlib can + still deserialize older data but older software won't be able to read + the new format. + - Changed the serialization formats for the matrix and array2d objects so + that either object can be deserialized into the other. This was done in a + way that is backwards compatible with previous versions of dlib. That is, + we can still load data serialized by previous dlib versions. However, + older versions of dlib can't load the new serialization format. + +Bug fixes: + - Fixed a bug in save_dng() that happened sometimes when saving images with + unsigned char pixels. + - The test_ranking_function() and cross_validate_ranking_trainer() routines + computed incorrect MAP scores when the learned function output a constant + value for all samples. This has been fixed. + +Other: + - Gave load_image_dataset() the ability to skip images that don't have any + ground truth boxes. + - Changed average_precision() to use interpolated precision. So now it uses + the same metric as the one used by the Pascal VOC challenge. + - Upgraded the dng image format so it can natively store floating point + pixel types without any information loss. + +</old> + +<!-- ************************************************************************************** --> + +<old name="18.1" date="Mar 25, 2013"> +New Features: + - Added svd_fast(), a routine for computing a singular value decomposition of very + large matrices. + - Added cca(), a routine for doing canonical correlation analysis on very large + and high-dimensional datasets. + - Added tools for creating parallel for loops, see parallel_for(). + - Added some features to the image display widgets to let the user easily + get information about where the user is clicking. This is the new + get_next_double_click() routine. + - Added an operator>> for matrix objects which allows you to read in ASCII + matrices using the format used by operator<<. + - Added serialization support for std::vector<bool>. + - Added the following new minor objects and routines: average_precision(), + make_sparse_vector_inplace(), orthogonalize(), count_bits(), draw_surf_points(), + hamming_distance(), cosine_distance, and negative_dot_product_distance. + +Non-Backwards Compatible Changes: + - Changed ranking evaluation functions to return the mean average precision + in addition to just raw ranking accuracy. This changes their return types + from double to matrix<double,1,2>. + - Generalized segment_image() so it works on any pixel type or array of + vectors. I also changed its interface slightly. In particular, I removed + the min_diff parameter and replaced it with an explicit min_size parameter. + - Changed how the SURF descriptor is computed slightly to improve its + accuracy. The interface to the user has not been changed, however, the + number and position of detected SURF points might be different than in + previous dlib versions. + +Bug fixes: + - Fixed an endianness bug in the PNG I/O functions which occurred when 16bit + grayscale PNGs were used. + - Fixed a bug which could potentially occur when empty std::vector<char> or + std::vector<unsigned char> were serialized. + - There was a bug in the version of draw_line() that draws directly onto an + array2d type image (not the one that draws onto a GUI canvas object). The + bug triggered whenever a perfectly horizontal or vertical line that extended + outside the image was drawn. This has been fixed. + - Fixed a bug in the Windows implementation of the signaler object, which + was found by Isaac Peterson. The bug caused the program to deadlock if + signal() or broadcast() was called at exactly the same time a + wait_or_timeout() function timed out. + - Fixed a bug in the image_window and image_display GUI tools which caused + them to not redraw overlay lines correctly in certain cases involving + non-default zoom levels. + - Switched randomly_color_image() to use the non-pointer based version of + murmur_hash3() to avoid violation of the strict aliasing rule. In + particular, the previous version didn't work correctly in gcc 4.7.2 when + optimizations were enabled. + - Visual Studio 2012's iostreams library has a bug which caused the + iosockstream to crash on use. This version of dlib has been changed to + avoid triggering this bug. + +Other: + - Refactored the Platt scaling code a little. Now there is a function, + learn_platt_scaling(), that allows you to directly call the Platt scaling + code without supplying a trainer object. + - Optimized the oca and structural SVM solvers. They are now a little bit faster + than in previous dlib releases. + +</old> + +<!-- ************************************************************************************** --> + +<old name="18.0" date="Feb 04, 2013"> +New Features: + - Machine Learning + - Added svm_rank_trainer, an optimized implementation of the SVM-Rank algorithm. + - Added rank_unlabeled_training_samples(), an implementation of the SVM Active + Learning algorithm. + - Added svm_c_linear_dcd_trainer, a warm-startable SVM solver using the dual + coordinate descent algorithm used by liblinear. + - Added the ability to force the last element of a weight vector to 1 to the + following objects: svm_c_linear_trainer, svm_c_linear_dcd_trainer, + svm_rank_trainer, and oca. + - Added the ability to learn non-negative weight vectors to the + structural_sequence_labeling_trainer object. + - Networking + - Added an iosockstream object. + - Added a method to the server object that lets a user set the graceful close timeout + time to something other than the default of 500ms. + - Linear Algebra + - Added the gaussian_randm() function. + - Added the find_affine_transform() function. + - Added the mat() function. It combines the array_to_matrix(), vector_to_matrix(), + pointer_to_column_vector(), and pointer_to_matrix() methods all into one convenient + interface. mat() also works for Armadillo and Eigen matrices. + - Added STL style begin() and end() methods to matrix and matrix_exp. + - Added an overload of sparse_matrix_vector_multiply() that multiplies a dense matrix + with a sparse vector. + - Made toMat() work with the matrix object in addition to array2d style images. + - Graphical User Interface Tools + - Added draw_solid_convex_polygon(). + - Added an overload of draw_image() that's useful for drawing images and doing + interpolation at the same time. + - Added the on_view_changed() callback to zoomable_region and scrollable_region widgets. + - Added parse_trees_to_string() and parse_trees_to_string_tagged(). + - Added lambda function support to the timeout object. + - Added the vectorstream object. + - Added the parse_xml() routines. + - Added a group name feature to the command line parser. Now it is possible to make + print_options() print related options in named groups. + - Added the following new hashing functions: murmur_hash3_128bit_3(), + murmur_hash3_2(), murmur_hash3_3(), uniform_random_hash(), gaussian_random_hash() + as well as hash() overloads for uint32, uint64, and std::pair. + +Non-Backwards Compatible Changes: + - Made the svm_c_linear_trainer use the risk gap to decide when to stop. This was done + because it is how all the other OCA based SVM tools in dlib decide when to stop. + However, it might cause the outputs to be slightly different in this version of dlib. + - It is now illegal to call unlock() on a mutex when the mutex is not owned by the + calling thread. The most likely reason for doing this was to unlock early in an area + locked by an auto_mutex. Old code that does this can be fixed by calling auto_mutex's + unlock() function instead. + - Removed the structural_assignment_trainer::learns_nonnegative_weights() routine + and moved its functionality into the feature extraction interface used by this object. + +Bug fixes: + - Fixed a bug in find_max_factor_graph_nmplp() which caused it to not work properly on + some compilers. + - Fixed a bug pointed out by Joel Nelson in the version of md5() that took an istream. + The bug caused the function to crash on strings longer than 56 characters. + +Other: + - dlib now has an excellent new logo thanks to Yasser Asmi. + - Added a new documentation page for the various linear algebra tools. + - The following objects were turned into single implementation components: + sockstreambuf, timeout, member_function_pointer, xml_parser, linker, + bound_function_pointer, and timer. + +</old> + +<!-- ************************************************************************************** --> + +<old name="17.49" date="Dec 18, 2012"> +New Features: + - Machine Learning + - Added the ability to learn non-negative weight vectors to the + structural_assignment_trainer object. + - Added two new graph clustering algorithms: Chinese Whispers and Newman's modularity + clustering. + - Added a number of new graph manipulation tools: sparse_matrix_vector_multiply(), + is_ordered_by_index(), find_neighbor_ranges(), convert_unordered_to_ordered(), + remove_duplicate_edges(), and the ordered_sample_pair object. + - Networking + - Added a set of tools for creating applications using the Bulk Synchronous Parallel + computing model. See the new bsp_ex.cpp example program for an introduction. + - Added a routine that lets a user disable Nagle's algorithm on a TCP connection. + - Added an asynchronous start routine to the server object. This is the new + start_async() method. + - Added the network_address object. + - Added connect_to() to the bridge interface. + - Added find_max_parse_cky(), a method implementing the well known CKY algorithm for + parsing probabilistic context free grammars. + - Added the ability to label parts of objects with the mouse to the image_display + widget. + - Added the ability to put overlay circles and full_object_detections into the + image_window widget. + - Added a stddev() for matrix objects. + - Added operator+() for running_stats and running_scalar_covariance. + - Added an overload of murmur_hash3_128bit() that takes 4 integers instead of a block of + memory. + - Added rand::get_random_64bit_number(). + +Non-Backwards Compatible Changes: + - Changed the image_dataset_metadata XML reading tools to use a map of strings to points + to represent object parts. This change removes the old head point from a box since + this information can now be represented in the parts map. + - The syntax for passing order_by_distance and order_by_index to std::sort() is now + slightly different since these functions are now templates. However, this change + allows them to work on any kind of sample_pair or ordered_sample_pair object. + - The default distance value of a sample_pair is now initialized to 1 instead of + infinity. + +Bug fixes: + - Added a patch, contributed by Martin Müllenhaupt, to fix a minor bug in the SQLite + bindings. + - Fixed a typo which would prevent code that called running_stats::max_n() from + compiling. + +Other: + - Added a new documentation page for the various graph tools in dlib. + - Added support for Visual Studio 2012. + - Switched the sample_pair object to use double to store its distance value instead of + float. + - Added William Sobel's patch to the web server that improves its flexibility and + security. + - Changed the server object so you don't have to use the server::kernel_1a syntax to + declare it anymore. Now you just say server, server_iostream, or server_http + depending on which one you want. + - Changed the cmd_line_parser so you don't have to use the ::kernel_1a syntax anymore. + Now it is declared like a normal single implementation object. + - Set the default max number of connections a server will accept at a time to 1000 + rather than the previous default of infinity. + +</old> + +<!-- ************************************************************************************** --> + +<old name="17.48" date="Oct 18, 2012"> +New Features: + - Added more overloads of find_max_factor_graph_potts() to make applying it + over a Markov random field of image pixels really simple. + - Added overloads of serialize()/deserialize() so that they can serialize + Google protocol buffer objects. + - Image Processing: + - Added find_points_above_thresh() + - Added max_filter() + - Added scan_image_movable_parts() + - Added sum_filter_assign() + - Added the full_object_detection object. + - Added the ability to model objects with movable parts into the + scan_image_pyramid object. This update also includes all the needed tools + to train movable part models using the structural_object_detection_trainer. + - Machine Learning: + - Added a per node loss option to the structural_svm_graph_labeling_problem's + interface. + - Added Emanuele Cesena's implementation of Sammon's nonlinear dimensionality + reduction method. + +Non-Backwards Compatible Changes: + - To support movable part models, the serialization format of scan_image_pyramid + objects was modified. This breaks backwards compatibility with the previous + format for scan_image_pyramid objects as well as object_detector instances + that use the scan_image_pyramid. + +Bug fixes: + - Fixed a bug in auto_threshold_image() that caused it to give bad outputs + when used with very large images. + +Other: + - Updated find_max_factor_graph_potts() to correctly say you can use infinite + weights for the factor_value_disagreement() values since the code actually + supports this. + - Made integer serialization about 3 times faster. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.47" date="Jun 15, 2012"> +New Features: + - Improvements to linear algebra tools: + - Added the lowerbound() and upperbound() routines for thresholding dense + matrices. + - Refined the tools for working with sparse vectors. In particular, + the following functions were added: min(), max(), make_sparse_vector(), + add(), and subtract(). A number of existing routines were also updated + to work with both sparse and dense vectors so that templated code which + works on both vector types is simpler to write. + - Added the += and -= operators to the set_subm(), set_rowm(), and set_colm() + tools for operating on submatrices. + - Optimization: + - Added a new quadratic program solver, solve_qp4_using_smo(). This new + solver is useful for solving quadratic programs corresponding to + non-negative constrained primal quadratic programs. + - Added an optional non-negativity constraint to the oca optimizer. + - Added the min_cut object. It provides a method to find the minimum weight + cut on a graph. + - Added tools for finding the maximum probability assignment in a Potts + style Markov random field. See the find_max_factor_graph_potts() routine + for details. + - Machine Learning: + - Added structural SVM tools for learning the parameters of a Potts style + Markov random field. See the structural_graph_labeling_trainer and + graph_labeler objects as well as their associated example program for + details. + - Added the ability to learn only non-negative weights to the + svm_c_linear_trainer. + - Improved Integration with OpenCV: + - Updated the cv_image object so it works with cv::Mat as well as IplImage. + - Added the toMat() routine for converting from a dlib style image to an + OpenCV cv::Mat image. + +Non-Backwards Compatible Changes: + - Removed the dlib::sparse_vector namespace. Everything from this namespace + was moved into the normal dlib:: namespace so that code which works with + both sparse and dense vectors is more cohesive. + +Bug fixes: + - Fixed a bug in find_max_factor_graph_viterbi() which sometimes occurred when + the model order was larger than the number of variables. + - Fixed a bug which caused a compiler error if you tried to call dot() on two + 1x1 matrices which were statically dimensioned. + +Other: + - Improved existing documentation: added pictures of the gui widgets, + added documentation of the dlib::bridge protocol, and other minor + usability improvements. +</old> + +<!-- ******************************************************************************* --> + +<old name="17.46" date="Apr 11, 2012"> +New Features: + - Image Processing: + - Added the option to make the features generated by poly_image rotationally + invariant. + - Added a set of routines for warping, scaling, and resizing images. + See the new "Scaling and Rotating" section of the image processing + documentation for details. + - Added the heatmap() routine for converting an image into a heatmap. + - Machine Learning + - Updated the sequence labeling trainer to allow the user to set different + loss values for different labels. + - Added the rls object. It is an implementation of the linear recursive + least squares algorithm. + - Added the get_option() routines which slightly simplify option parsing + from the command line and config files. + - Added the 128bit version of Murmur hash. + - Added the kalman_filter and rls_filter objects. These are tools for + performing Kalman filtering and recursive least squares filtering. + - Added the circular_buffer object. + +Non-Backwards Compatible Changes: + - The poly_image generates slightly different features in this new release. + Therefore, classifiers trained using the previous version will need to be + retrained if they are switched to the new version of poly_image. + - Changed the xcorr() functions so they take the complex conjugate of the right + hand arguments if they are complex numbers. This way they do a proper + cross-correlation and also mirror the behavior of MATLAB. However, this + breaks backwards compatibility with the previous behavior of xcorr(). + - Previously, dlib included two versions of dlib::array. However, to + simplify the user interface, dlib now includes only the contiguous + memory implementation of dlib::array. This change should only affect + you if you wrote code which assumed dlib::array::set_max_size() only + allocated a small amount of RAM. The new behavior is similar to the + std::vector::reserve() routine. That is, dlib::array::set_max_size() + will allocate the requested amount of memory immediately. + +Bug fixes: + - Fixed a bug which caused certain matrix expressions to not compile + when the BLAS bindings were enabled. In particular, expressions which + involved a 1x1 matrix sometimes didn't compile. + +Other: + - Made the matrix routines min(), max(), sum() and mean() work with + complex numbers. + - Turned the array object into a single implementation object. Now arrays + can be created using the normal array<type> obj; syntax. Additionally, + all extensions were merged into the array object. + - Added an example program which better documents how to create training + data for the object detection tools as well as how this data can be used. + See the train_object_detector.cpp example for details. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.45" date="Jan 29, 2012"> +New Features: + - Added tools for timing blocks of code + - Machine Learning + - Added a set of tools for learning to solve the assignment problem. + See the structural_assignment_trainer and its associated example + program for an introduction. + - Added random projection based locality sensitive hashing tools. + - Added tools to simplify the creation of scan_image_pyramid objects. + See the object_detector_ex.cpp example program for details. + - Image Processing + - Added sum_filter() and spatially_filter_image_separable_down() + - New feature extractors: poly_image, nearest_neighbor_feature_image, and + fine_hog_image + +Non-Backwards Compatible Changes: + - Changed the serialization format for rand objects. + - Changed the order of arguments for the sequence_labeler's constructor. + - Object Detection Changes + - Some parts of the object detection tools have been refactored. In particular, + the interfaces of the scan_image_pyramid and structural_object_detection_trainer + have been changed slightly to improve usability. + - Made the test_box_overlap a little more flexible. This change breaks + backwards compatibility with the previous version though. + - The hashed_feature_image object has been made more general. It now + uses a user supplied hashing function rather than its own hashing + implementation. + - Removed constness from the operator() member functions of the + object_detector. + - Fixed improper normalization in the gaussian() functions. The + normalization constant was being computed incorrectly. + - Sequence labeling feature extractors must now define a sequence_type + typedef instead of sample_type. This change allows the user to use any + type of sequence, not just std::vector objects. + +Bug fixes: + - Changed the add_probability() method of joint_probability_table so + it does a saturating add rather than a normal add. This ensures the + probability value stays exactly <= 1. Previously, floating point + rounding error could cause it to be slightly above 1 and would therefore + cause some asserts to misfire during debugging mode. + - The object_detector had code in it which limited the number of outputs + to 100 rectangles. This has been removed. + - Fixed improper normalization in the gaussian() functions. The + normalization constant was being computed incorrectly. + +Other: + - dlib::rand can now generate Gaussian random numbers. + - The structural_object_detection_trainer will now automatically setup + appropriate non-max suppression parameters if the user doesn't supply them. + - The structural_object_detection_trainer has been optimized and now runs + significantly faster than in previous dlib releases. + - The tools folder containing htmlify, imglab, and mltool is now included + in the dlib release archive files. Previously, these tools were only + available directly from source control. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.44" date="Nov 21, 2011"> +New Features: + - Machine Learning + - Added the histogram intersection kernel for sparse and dense vectors. + - Added a set of tools to allow a user to easily learn to do sequence + labeling using dlib's structural SVM implementation. See the new + sequence_labeler object and its associated example program for an + introduction. + - Image processing: + - Added segment_image() + - Added randomly_color_image() + - Added the border_enumerator + - Added the disjoint_subsets object, it is an implementation of the + union-find algorithm/disjoint-set data structure. + - Added new matrix routines: conv(), conv_same(), conv_valid(), xcorr(), + xcorr_same(), xcorr_valid(), and flip(). + +Non-Backwards Compatible Changes: + - Changed find_max_factor_graph_viterbi() so you can use run-time + defined order and num_states parameters. + +Bug fixes: + - The last dlib release added a max_iterations parameter to the + svm_c_linear_trainer and svm_c_ekm_trainer objects. However, + there was a bug which made them only do at most 16 iterations, + which is too few to solve many problems. This has been fixed. + - Fixed a bug in is_const_type. It didn't work for reference types. + - Fixed a bug in the SQLite binding routine statement::get_column_as_text(). + It didn't work correctly if the column contained a NULL. + - Fixed a bug in find_max_factor_graph_viterbi() which occurred when a + zero order model had negative factor values. + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.43" date="Oct 21, 2011"> +New Features: + - Two new routines for performing MAP inference in factor graphs: + - For chain-structured graphs: find_max_factor_graph_viterbi() + - For general graphs: find_max_factor_graph_nmplp() + - Image Processing + - Added more tools for creating image pyramids. See pyramid_down_5_4, + pyramid_down_4_3, and pyramid_down_3_2. + - Added more image filtering and morphology functions. + - Added a set of tools for creating sliding window classifiers: + - Added the scan_image() routine. It is a tool for sliding a set of + rectangles over an image space and finding the locations where the sum + of pixels in the rectangles exceeds a threshold. Also added + scan_image_pyramid, which is a tool for running scan_image() over an + image pyramid. + - Added the structural_object_detection_trainer. This is a tool which + formulates the sliding window classifier learning problem as an + instance of structural SVM learning. + - Added a variety of supporting tools and two object detection example + programs. + - Added the following functions for computing statistics on vectors: + mean_sign_agreement(), correlation(), covariance(), r_squared(), + and mean_squared_error() + - Added a C++ wrapper for SQLite (see the new database and statement objects) + +Non-Backwards Compatible Changes: + - Changed the interface to the ridge regression trainer objects so that they + report the entire set of leave-one-out prediction values rather than a + summary statistic like mean squared error. + - Changed the serialization routine for bgr_pixels to store the pixels in BGR + order rather than RGB. + - Changed the interface for the spatially_filter_image() routine to take the + filter as a matrix rather than C-array. Also, now it won't force signed pixel + values to 0 if they go negative. + - Changed the test_regression_function() and cross_validate_regression_trainer() + routines so they return both the MSE and R-squared values rather than just the + MSE. + - Changed suppress_non_maximum_edges() to use the L2 norm instead of L1 norm + for measuring the strength of an edge since this produces a slightly better + result. + +Bug fixes: + - The image_display didn't display overlay rectangles quite right. If you zoomed + in you could see that some of the pixels which are inside the rectangle were + outside the overlay. Specifically, the right column and bottom row was outside + the overlay rectangle. This has been fixed. Now all pixels which are supposed + to be part of a rectangle are drawn as being inside the overlay rectangle. + - Fixed a bug pointed out by Martin Müllenhaupt which caused the windows socket + code to not compile when used with the mingw-cross-env project. + - Fixed a bug in the png_loader. If you loaded an image with an alpha channel + into something without an alpha channel there were uninitialized values being + alpha blended into the image. + - Fixed a bug in the cpp_tokenizer that only shows up on newer versions of gcc. + It wasn't tokenizing double quoted strings right. + - Fixed a bug in spatially_filter_image() which showed up when using non-square + filters. The bug would cause the edges of the output image to be incorrect. + - Fixed a bug in the matrix class. Expressions of the form mat *= mat(0) would + evaluate incorrectly because the *= operator took the right hand side by reference + and thus experienced an aliasing problem. The other op= operators had similar + problems and have also been fixed. + - Fixed a bug pointed out by Justin Solomon which could cause the svr_trainer and + svm_c_trainer to produce incorrect results in certain unusual cases. + +Other: + - Added a more complete set of methods for converting between image space and + the downsampled hog grid used by hog_image. Now you can convert from image + to hog in addition to hog to image. + - Made the integral_image more general by making it templated on the type of + scalar used to store the sums. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.42" date="Jun 24, 2011"> +New Features: + - Added the check_sub_option() method to the command line parser check + object. + - Added match_endings to the dir_nav utils. + - Added a set_current_dir() function. + - Added the distance_to_rect_edge() routine. + - Added support for user drawn rectangle overlays and selectable overlays + to the image_display widget. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a bug in the image_display widget. If you switched it between + images of a different size while any kind of zoom was in effect + it could cause a segmentation fault. + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.41" date="Jun 12, 2011"> +New Features: + - You can now add tasks to a thread_pool by value, using the new + add_task_by_value() method. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a bug which caused multiply defined symbol errors during linking + if the PNG saving routine was #included. + +Other: + - Optimized the threaded and distributed structural svm solvers for the + case where there are many data samples and the separation oracle is + quick to evaluate. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.40" date="Jun 05, 2011"> +New Features: + - Added a function for saving to the PNG image format. + - Added Austin Appleby's excellent MurmurHash3 hashing code and setup some + additional convenience functions. These functions are murmur_hash3() and + various overloads of hash(). + +Non-Backwards Compatible Changes: + - Made get_pixel_intensity() more efficient. However, the value returned + is slightly different than it used to be for RGB pixel types. + +Bug fixes: + - Setup proper error handling for libpng in the png_loader. Now if the PNG + file is corrupted in the middle it won't just print a message and abort + the program. + - Fixed a bug in assign_pixel_intensity() that happened when the target pixel + was an RGB pixel with an alpha channel. + +Other: + - Added a Frequently Asked Questions page + - Changed the array2d object so you don't have to say array2d<type>::kernel_1a + anymore to declare it. Now you just say array2d<type>. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.39" date="May 22, 2011"> +New Features: + - Added tools for distributing the work involved in solving a structured + SVM problem over many computers and CPUs. + - Added the bridge. It allows a dlib::pipe to be used for networked + communication. + +Non-Backwards Compatible Changes: + - Removed the DLIB_REVISION macro and replaced it with DLIB_MAJOR_VERSION and + DLIB_MINOR_VERSION. + +Bug fixes: + +Other: + - dlib's version control system has switched from Subversion to Mercurial. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.38" date="May 7, 2011"> +New Features: + - Added the max_sum_submatrix() function to the optimization tools. + - Upgraded the pyramid_down function object so it can create color pyramids. + Also, added some functions which define the coordinate transforms between + different layers in an image pyramid. + +Non-Backwards Compatible Changes: + - Changed the oca_problem interface to the oca optimizer. Now the + optimization_status() function reports back the current risk and risk gap + in addition to the overall objective value and objective gap. + - Changed the stopping condition for the structured svm to the one suggested + by the Joachims paper. Now it stops when the risk gap is below a user + supplied epsilon. + +Bug fixes: + +Other: + - Various usability improvements. + - Improved the feature vector caching in the structural_svm_problem object. + - Some objects were setup as multi-implementation objects but only had one + implementation. I went through dlib and switched these to single implementation + objects. So for example, to use the dlib crc32 module you used to declare an + object of type "crc32::kernel_1a" but now you can just say "crc32". Note that + I did this change in a way that maintains backwards compatibility with previous + versions. So crc32::kernel_1a is still allowed but that form is officially + deprecated. The modified objects are as follows: + - base64 + - byte_orderer + - config_reader + - crc32 + - pipe + - rand + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.37" date="Mar 24, 2011"> +New Features: + - Added a multiclass support vector machine. + - Added a tool for solving the optimization problem associated with + structural support vector machines. + - Added new functions for dealing with sparse vectors: add_to(), + subtract_from(), max_index_plus_one(), fix_nonzero_indexing(), a + more flexible dot(), and I renamed assign_dense_to_sparse() to assign() + and made it more flexible. + +Non-Backwards Compatible Changes: + - Renamed max_index_value_plus_one() (a function for working with graphs) to + max_index_plus_one() so that it uses the same name as the essentially + identical function for working with sparse vectors. + - I simplified the cross_validate_multiclass_trainer(), cross_validate_trainer(), + test_binary_decision_function(), and test_multiclass_decision_function() + routines. They now always return double matrices regardless of any other + consideration. This only breaks previous code if you had been assigning + the result into a float or long double matrix. + - Renamed assign_dense_to_sparse() to assign() + +Bug fixes: + - Fixed a bug in load_libsvm_formatted_data(). I had forgotten to clear the + contents of the labels output vector before adding the loaded label data. + - Fixed a bug in the kernel_matrix() function. It didn't compile when used + with sparse samples which were of type std::vector<std::pair<> >. + Moreover, some of the trainers have a dependency on kernel_matrix() so this + fix makes those trainers also work with this kind of sparse sample. + +Other: + - Added a value_type typedef to matrix_exp so it's easier to write templates + which operate on STL containers and matrix objects. +</old> + +<!-- ******************************************************************************* --> + +<old name="17.36" date="Mar 2, 2011"> +New Features: + - Added an implementation of the Hungarian algorithm for solving the optimal + assignment problem (in the new max_cost_assignment() routine). + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a problem which prevented the any_function unit test from compiling + in visual studio 2008. + +Other: + - Changed the oca optimizer so that it warm starts the QP subproblem + rather than resolving it from scratch during each iteration. This + improves the speed and stability of the algorithm. +</old> + +<!-- ******************************************************************************* --> + +<old name="17.35" date="Feb 10, 2011"> +New Features: + - Added the rr_trainer. It is a version of krr_trainer which is optimized + for use with the linear_kernel. + - Added the approximate_distance_function() routine. It is the core optimizer + behind the reduced2() trainer adapter. + - Added an any_function which supports the same functionality as std::function + from the upcoming C++0x standard. I added this so dlib can be modified to + easily support lambda functions while still being compilable with compilers + which don't support the new std::function. + - Added overloads of all the GUI event handlers so you can use general functions + as callbacks (via any_function). This way, if you have a C++0x compiler, you + can use lambda functions with the event handlers. + - Added the split() function for splitting up strings. + +Non-Backwards Compatible Changes: + - Improved the distance_function object by turning it into a properly + encapsulated class rather than just a simple struct. I also added + overloaded +, -, *, and / operators for this object so you can do the + kind of arithmetic you would expect on an object which represents a + point in a vector space. This breaks backwards compatibility with + the previous interface though as the member variables are now private. + +Bug fixes: + - Fixed a compile-time error in the kernel_matrix(). + - Fixed a bug in an assert in the spatially_filter_image() function. + - Applied a patch from Nils Labugt which fixes a runtime bug in the gui_core + component. The bug caused a crash when using X11 and Ubuntu 10.10 in + certain cases. + - Updated code so that it compiles with the clang compiler. + +Other: + - Updated the image_display widget so you can zoom in and out using the + mouse wheel. +</old> + +<!-- ******************************************************************************* --> + +<old name="17.34" date="Jan 03, 2011"> +New Features: + - General Stuff + - Added the promote template + - Added the basic_type template + - Added the assign_image_scaled() function + - Added the unordered_pair object. + - Added the symmetric_matrix_cache() function + - Added two new quadratic program solvers. The solve_qp2_using_smo + and solve_qp3_using_smo objects. + + - Machine Learning Stuff + - Added the svm_c_trainer object. It implements C-SVM classification and + allows the user to set different C values for each class. + - Added the svm_one_class_trainer object. + - Added the svr_trainer object. It implements epsilon-insensitive + support vector regression. + - Added two new any objects. The any_decision_function for containing + decision function style objects and the any_trainer for trainers. + - Added cross_validate_regression_trainer() + - Added test_regression_function() + - Added the probabilistic() function. It is a trainer adapter that + simply calls train_probabilistic_decision_function(). + - Added tools for multiclass classification + - Added one_vs_one_trainer + - Added one_vs_all_trainer + - Added cross_validate_multiclass_trainer() + - Added test_multiclass_decision_function() + +Non-Backwards Compatible Changes: + - invalid_svm_nu_error has been renamed to invalid_nu_error. + - Changed the pixel_traits so that signed grayscale pixel types are allowed. + This involved adding a few new fields to pixel_traits. I also changed the + get_pixel_intensity() function so that its return value is of the same type + as the basic pixel type rather than always being unsigned long. + - Removed the kernel_type typedef from the normalized function since this + meta-object should be capable of working with non-kernel decision functions. + - train_probabilistic_decision_function() no longer accepts column vectors of + samples and labels. Now it only accepts std::vectors of samples and labels. + +Bug fixes: + - Fixed a bug in the deserialization code for the sparse kernels. The bug + prevented code which used the deserialize() routine from compiling. + +Other: + - Changed the image display GUI widgets to use the assign_image_scaled() + function internally. Now they will accept just about any image and + do the right thing. + - Modified the type_safe_union so that you can call apply_to_contents() on const + type_safe_unions. + - Added serialization support for std::pair objects. + - Made the train_probabilistic_decision_function() more general by making it work + with any kind of trainer object rather than only ones which produce + dlib::decision_function objects. I also made it work with trainers that only + take std::vectors. + - Added overloads to the config_reader's methods to allow it to load directly + from a file name given as a string in addition to taking istream objects. +</old> + +<!-- ******************************************************************************* --> + +<old name="17.33" date="Dec 05, 2010"> +New Features: + - Added the ability to add/subtract scalar values to/from all the elements + of a matrix using the - and + operators. + - Added a trust region optimizer. + - Added Levenberg-Marquardt and LM/quasi-newton hybrid methods for solving + non-linear least squares problems. + - Added an any container object. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a compiler warning and also a runtime bug in sort_basis_vectors(). + The bug triggered when all the basis vectors were included in the final + answer. + +Other: + - Added a bunch of overloads to catch operations on diagonal matrices + and use more efficient code paths for them. For example, inv(diagm(d)) + turns into diagm(reciprocal(d)). Multiplication by a diagonal matrix + is now also handled efficiently. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.32" date="Nov 13, 2010"> +New Features: + - Added a class for reading JPEG image files. + - Added scale_rows(), flipud() and fliplr() matrix functions. + - Added console_progress_indicator. It is a tool for measuring how long a + task will take. + - Added sort_basis_vectors(). It is a function for performing supervised + basis selection. + +Non-Backwards Compatible Changes: + - Renamed the linearly_independent_subset_finder's dictionary_size() member + function to size(). This way, linearly_independent_subset_finder objects + can be used in many templated functions which expect objects which look + like arrays. + +Bug fixes: + - Changed the assert macros so that they don't use __PRETTY_FUNCTION__ + with gcc 4.4.5 since, on Ubuntu at least, this version of gcc segfaults + when __PRETTY_FUNCTION__ is used within certain template constructs. + - Improved the alias detection capability of kernel_matrix() expressions. + Now statements of the form: sample = kernel_matrix(kern, *, sample) can + be used since the aliasing of sample will be handled. + +Other: + - Generally tried to make things more usable. + - Optimized matrix expressions such as mat*diagm(vect) + - Made the code in chol() more robust to indefinite matrices. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.31" date="Sep 15, 2010"> +New Features: + - Added the running_scalar_covariance object. + - All the matrix decomposition routines now use LAPACK when DLIB_USE_LAPACK + is #defined. + +Non-Backwards Compatible Changes: + - Removed the dlib::EOTHER constant since it conflicts with visual + studio 2010. + - Changed the svd functions so you can't supply output matrices which use + both column and row major layouts. Now all the output matrices need to + use the same memory layout. + - Removed the qr_decomposition::get_householder() function. + +Bug fixes: + - Minor fixes so that dlib compiles in Visual Studio 2010 + +Other: + - Added an overloaded matrix_assign() that handles symmetric kernel_matrix() + expressions more efficiently by only evaluating the upper triangular part + of the matrix. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.30" date="Jul 28, 2010"> +New Features: + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a compile-time bug in the matrix related to multiplication by + subm() expressions when the BLAS bindings were enabled. + - Fixed a bug in train_probabilistic_decision_function() which could + cause it to go into an infinite loop when working with very large + datasets. + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.29" date="Jul 25, 2010"> +New Features: + - Added a reference_wrapper implementation and modified the thread_function + slightly so it works with it. + - Added an implementation of kernel ridge regression. + - Added a simple newton search strategy for optimizing functions. + +Non-Backwards Compatible Changes: + - If you have created your own matrix expressions then its possible this + new release will cause them to not compile. + +Bug fixes: + - Fixed a bug in scale_columns. It said it didn't have any destructive aliasing + when in fact it destructively aliased its second argument. + - Fixed a bug in the random number generator where setting the seed back to "" + didn't result in the object going back to its initial state. + +Other: + - Reorganized the matrix expression code. It's now much simpler and the + library includes a new example program which details the steps needed to + create new matrix expressions. + - Changed the train_probabilistic_decision_function() routine so that it uses + a more numerically stable method to perform its maximum likelihood optimization. + - Added missing get/set epsilon functions to the RVM training objects. + I also changed the default epsilon from 0.0005 to 0.001. +</old> + +<!-- ******************************************************************************* --> + +<old name="17.28" date="Jun 14, 2010"> +New Features: + - Added the simplify_linear_decision_function() routines. + - Added the find_approximate_k_nearest_neighbors() function. + - Added the fill_lisf() function. + +Non-Backwards Compatible Changes: + - Made the sample_pair have a default distance of infinity instead of + the max floating point value. I also reworked the graph creation functions + to make them a little more versatile. Now you can use infinite distances to + indicate that certain nodes are not connected at all. + - Changed the linear_manifold_regularizer to normalize the regularization + parameter by the sum of edge weights instead of the sum of edges. + +Bug fixes: + - Fixed a bug in the timer_kernel_2 object. In certain rare cases it would + stop calling the action function and essentially shut down without being + told to do so. + +Other: + - Made the reduced() and reduced2() functions more efficient. + - Many small usability improvements here and there. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.27" date="May 16, 2010"> +New Features: + - Added the svm_c_ekm_trainer. It is a kernelized version of the fast + linear trainer svm_c_linear_trainer. + - Added the linear_manifold_regularizer and some supporting tools. + - Added the sum_rows(), sum_cols(), join_rows(), join_cols(), reshape(), + and pointer_to_matrix() functions. + - Added the randomly_subsample() function. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed some minor compile time bugs on certain older compilers. + +Other: + - Updated the += and -= matrix operators to be a little more flexible. Now + if you try to apply them to a matrix of the wrong size it will automatically + resize the target matrix and just do a normal assignment. + - Removed the requirement that you load dng files into an image of the exact + pixel type that created the file. Now you can use any pixel type. I also + changed the code so that grayscale pixels with more than 16 bits get saved as + 16 bit grayscale images instead of 8 bit images. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.26" date="Mar 07, 2010"> +New Features: + - Added the solve_qp_using_smo() function to solve certain quadratic + programs. + - Added the oca object. It is an implementation of the Optimized Cutting + Plane Algorithm. + - Added a linear SVM trainer that uses oca. + - Added an implementation of the Histogram of Oriented Gradients algorithm + - Added a simple tool for making image pyramids + - Added the running_covariance object + - Added a simple linear (i.e. non-kernelized) kmeans implementation + - Added support for serializing dlib::int64 + - Added some functions to load and save LIBSVM formatted data files. + +Non-Backwards Compatible Changes: + - Changed the definition of dlib's sparse vector format to require + unsigned integral keys. Having this requirement is nice because it + creates a simple correspondence between dense vector index values and + sparse vector keys. The previous sparse vector definition was + excessively generic. + - Renamed sparse_vector::dot_product() to sparse_vector::dot() so that + both dense and sparse vectors have a global function with the same + name (i.e. dot()). + +Bug fixes: + - Fixed a bug discovered by Mitchell Peabody. In some instances trying to + deserialize a std::vector would fail to compile. + +Other: + - Increased the number of template arguments of the type_safe_union from 10 + to 20. Additionally, I made the get_id() function public and renamed it + to get_type_id(). I also added a comment explaining the serialization + format of type_safe_union objects. + - Moved the optimization algorithms into their own page in the documentation. + - Added a Suggested Books page to the documentation + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.25" date="Feb 05, 2010"> +New Features: + - Added the ability to compute transformation matrices that map between + the representations used by different empirical_kernel_maps. Also added + the ability to compute projection error. + - Added the random_subset_selector object. + - Added the compute_mean_squared_distance() function. + +Non-Backwards Compatible Changes: + - Modified the logger's hook implementation so that it uses a special stream + buffer instead of an std::ostringstream. This way logging doesn't cause + memory allocations. This breaks backwards compatibility with the previous + hook function API but only slightly. The new hook functions must take a + const char* instead of std::string. + - Added the const_ret_type typedef to the matrix_exp. It is now required that + all matrix expressions define this type. This enables the expressions to + return elements by constant reference when appropriate rather than always + returning by value. + +Bug fixes: + - Fixed a bug in the matrix BLAS bindings that caused BLAS to return an invalid + argument error. The error occurred when general matrix multiply expressions + were transposed and didn't result in a square matrix. E.g. mat = trans(a*b) + where mat isn't square. + - Fixed potential compile time bugs in the comparison operators for futures. + - Added a missing check for division by zero in the SURF feature extractor. + - Modified the find_min_single_variable() function so that it is more + robust when working with functions that are made up of a bunch of + constant value strips. Previously, these kinds of functions could + cause the optimization to fail. + +Other: + - Changed the regression test suite so that when it sets the logging level + it now sets it for all loggers. Not just ones that start with "test." + + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.24" date="Jan 04, 2010"> +New Features: + - Added some MATLAB style thresholding relational operators to the matrix. + - Added the kernel_matrix() functions. + - Added the empirical_kernel_map object. + - Added the discriminant_pca object. + - Added the read_write_mutex object. + +Non-Backwards Compatible Changes: + - Renamed the support_vectors member of the decision_function and + distance_function classes to basis_vectors. This name more appropriately + reflects how these two classes are used within the library. + - Changed the matrix_exp interface slightly. This could only impact users + who created their own custom matrix expressions. If you don't get a + compiler error then you don't have to worry about it. + +Bug fixes: + - Fixed a minor error in the LBFGS code. + - Added a missing check for division by zero to the kcentroid, krls, + and linearly_independent_subset_finder classes. If someone added + the zero vector to them as the first training example a division by zero + could result. + - There were a few cases where the code wouldn't compile when using + matrices of complex numbers. There was also a runtime bug that triggered + when a rank 1 update was performed where one of the vectors was conjugated + and two or more transposes were used in certain positions. This bug + caused the wrong output to be computed if the BLAS bindings were used. + Both of these bugs have been fixed. + - Fixed a bug in the http server that affected cookies with certain kinds of + data. The result was invalid data being sent back to the web browser. + +Other: + - Generally improved the BLAS bindings for the matrix object. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.23" date="Oct 20, 2009"> +New Features: + - Added the pointer_to_column_vector function. + - Added the BOBYQA algorithm for derivative-free optimization. + - Added some functions to make it easy to do a line search on a function + of a single variable when derivatives are not available. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a bug in the cpp pretty printer. It wasn't parsing + exponentiated numbers like 1e100 correctly. + +Other: + - Added a model selection example program using grid search + and the new BOBYQA algorithm. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.22" date="Sep 10, 2009"> +New Features: + - Added an implementation of the L-BFGS algorithm for unconstrained non-linear + optimization. + +Non-Backwards Compatible Changes: + - Refactored the optimization code. It is now much more flexible but + this resulted in changes to the API. See the optimization example program + for a discussion of the new API. + +Bug fixes: + - Fixed a bug in the get_filesystem_roots() roots function that + prevented it from compiling. + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.21" date="Aug 30, 2009"> +New Features: + - Added the ability to use a kernel cache to the batch_trainer object. + - svm_pegasos can now be configured to use two different lambda arguments + for use with unbalanced data. + - Added the reciprocal_max() and dot() matrix functions. + - Added the bgr_pixel and cv_image objects so that OpenCV images can + be easily used with dlib routines. + +Non-Backwards Compatible Changes: + - I changed the batch trainers so that they always call clear() on the + trainer being used before training begins. + - Modified the svm_pegasos class so that the user can set independent lambda + parameters for each class. This breaks backwards compatibility with + the previous interface slightly and changes the serialization format + of this class. + - Split the vector_normalizer into a normal normalizer and a pca normalizer + version. + - The zoomable_region widget now uses exponential rather than linear + zoom scaling since this is much more pleasing to use. There is now + a new requirement on the zoom increment that it must be between 0 + and 1. + +Bug fixes: + - Fixed a bug in the cross_validate_trainer_threaded() function. It could + deadlock if more than about 10 folds were requested. + - Fixed the serialization functions for the normalized_function object. + They will now work with custom normalizer function objects. + - Fixed a minor bug in the zoomable_region::set_min_zoom_scale() function. + It didn't always end up zooming in a smooth sensible manner after this + function was called. + +Other: + - Made the thread_function object more general. It can now handle + arbitrary functions of up to four arguments. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.20" date="Jul 11, 2009"> +New Features: + - Added the reshape_to_column_vector() function. + - Added a hook to the logger object that lets you set a different kind of + output logging destination (in addition to the std::ostream supported + already). + - Upgraded the scoped_ptr so that it can handle array pointers as well + as customer deleter functions. + - Added overloads of the kernel_derivative object for all the kernels + in dlib. + +Non-Backwards Compatible Changes: + - Reworked the config_reader interface a little to make it easier to use. + In particular, I removed the enumerator over blocks in favor of a simple + get_blocks() function that just returns a std::vector of all the blocks. + I also removed the requires clauses on the block and key accessor functions + and instead made a request for a non-existent key/block result in a non-fatal + exception. This way users can let the config reader perform a more natural + role in config file validation (by catching this exception and acting + accordingly). + - It is now illegal to multiply matrices of size zero together. + +Bug fixes: + - Fixed the gaussian() function used by the SURF code. It wasn't computing + a properly weighted Gaussian function. + - Fixed a few things in various parts of the code to avoid compiler errors + in certain use-cases. + - Added a missing rethrow statement. The xml parser would eat exceptions + thrown by event handlers rather than letting them propagate out as + documented in the specification. + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.19" date="May 25, 2009"> +New Features: + - Added an implementation of the SURF algorithm which includes the + following new objects and functions: integral_image, hessian_pyramid, + interest_point, surf_point, compute_dominant_angle(), + compute_surf_descriptor(), haar_x(), haar_y(), get_interest_points(), + and get_surf_points(). + - Added the zeros_matrix() and ones_matrix() functions. + - Added serialization support to the type_safe_union object. + - Added the grow_rect() and shrink_rect() functions. + - Added the get_files_in_directory_tree() function. + - Added the null_trainer_type object. + - Added the roc_trainer_type object. + +Non-Backwards Compatible Changes: + - Removed some extraneous get_kernel() functions from some of the + trainer adapter classes since they really aren't needed. + +Bug fixes: + - Changed the socket read/write code so that it can handle a large + number ( > 2 billion) of bytes in I/O calls. + - Added a missing type cast to the reciprocal() function to fix a compile + time error you get when you use it with complex<float> type matrices. + - Fixed a bug in the assign_border_pixels() and zero_border_pixels() functions. + Their contracts said there was no upper limit on the size of the border that + could be assigned/zeroed but the implementations failed to handle the case + where the border was bigger than the image. + +Other: + - Generally cleaned up the code and documentation here and there. + - Added in Steven Van Ingelgem's patches to improve the usability of the + HTTP server object. + - Updated the load_bmp() function so that it is capable of reading BMP + files that have been compressed with the RLE compression sometimes + used for 8bit BMP files. + - Merged in Miguel Grinberg's patch to add a non-blocking read() function to the + connection object. +</old> + +<!-- ******************************************************************************* --> + +<old name="17.18" date="Apr 5, 2009"> +New Features: + - Added a set of kernels that can operate on sparse vectors. + - Added the image_window and image_display objects. + - Added the rotate_point() function and the point_rotator object. + +Non-Backwards Compatible Changes: + - Added Steven Van Ingelgem's patch to add the body of data posted + back to the server into the incoming data object given to the + server_http::on_request() handler. This removes the content_length + field and replaces it with a string that contains the body of content + data. + +Bug fixes: + - Fixed a compile time bug in the offset_kernel. + +Other: + - Added optimized overloads of the kcentroid object for various + linear kernels. + - Changed all the tests in the dlib test suite to use a new DLIB_TEST + macro instead of DLIB_CASSERT since the tests really aren't + technically assertions + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.17" date="Mar 16, 2009"> +New Features: + - Added the strings_equal_ignore_case() functions + +Non-Backwards Compatible Changes: + - Changed the on_request() function in the http server + - Changed the serialization format of the kcentroid and svm_pegasos + objects + - By default, the kcentroid now keeps the most linearly independent + dictionary vectors rather than the newest + +Bug fixes: + +Other: + - Split the algorithms documentation page into three pages, algorithms, + machine learning, and bayes nets. + - Merged in Steven Van Ingelgem's patch to cleanup the HTTP server and + add new functionality. This breaks backwards compatibility with the + previous on_request() interface but it is easy to update old code and + it is now much cleaner and easier to use. + - Changed the kcentroid so that you can tell it to keep the most linearly + independent vectors rather than the newest vectors. I then changed the + svm_pegasos object so that it has a max number of support vector setting + so that the user can supply an upper limit on the number of support + vectors to use. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.16" date="Mar 08, 2009"> +New Features: + - Matrix related + - Added the find_min_and_max(), index_of_min(), index_of_max(), trace(), + randm(), linspace(), logspace(), and cartesian_product() functions. + - Machine learning related + - Added the offset_kernel + - Added some functions to the kcentroid to allow the user to compute + the inner_product of kcentroids as well as a few other useful things. + - Added a kernelized version of the Pegasos SVM training algorithm. + +Non-Backwards Compatible Changes: + - Changed the range() function so that it returns row vectors + instead of column vectors. + +Bug fixes: + - Changed threading code to avoid a potential race condition during + program termination. + - Fixed a few incorrect DLIB_ASSERT statements + - Fixed a bug in the way Content-type was handled in HTTP posts. + - Fixed a bug in subm() that showed up when statically dimensioned row + vectors were used to select a sub matrix. + +Other: + - Added some functions to the rectangle to make it easy + to get the corner points. + - The cross validation functions no longer allow invalid_svm_nu_error + exceptions to escape. Instead, they are assigned low CV scores. + - Made std_vector_c able to copy directly from std::vector objects. + - Added a get_socket_descriptor() function to the connection class. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.15" date="Feb 03, 2009"> +New Features: + - Matrix related + - Added QR, LU, Cholesky, and eigenvalue decomposition class objects + - Added overloads for rowm() and colm() that allow you to pick out + less than an entire vector + - Added the lowerm() and upperm() functions + - Added the const_temp_matrix class + +Non-Backwards Compatible Changes: + - Renamed the cholesky_decomposition() function to chol() + +Bug fixes: + - Fixed some errors in the requirements for calling the new rowm() and + colm() functions. + - Fixed dlib::abs() so that it returns the right type when used + with complex matrices. + - Fixed a race condition in the logger object. It was missing a needed call + to unregister_thread_end_handler(). What could happen in some scenarios is, + during program termination, a global part of the logger object could be destructed + when it still had outstanding thread end handlers registered to it. + +Other: + - Added an example program that shows how to use the optimization + functions. + - Gave the matrix object the ability to factor expressions containing + trans() function calls into more efficient forms. + - Generally cleaned up the matrix code +</old> + +<!-- ******************************************************************************* --> + +<old name="17.14" date="Jan 18, 2009"> +New Features: + - Added the multi-line text_box GUI widget. + - Added the type_safe_union object + +Non-Backwards Compatible Changes: + - Renamed the array::expand() function to array::resize() since it does + basically the same thing as std::vector::resize() and more than one + user has told me they found the name "expand" to be confusing. + +Bug fixes: + +Other: + - Added an example showing how to use the type_safe_union and pipe + together. + - Added a page to the documentation that discusses the dlib coding + standards and how to contribute to the project. +</old> + +<!-- ******************************************************************************* --> + +<old name="17.13" date="Jan 05, 2009"> +New Features: + - Added the bound_function_pointer object. + - Added support for futures to the thread_pool object. + - Added a set of objects that makes it possible to create simulations + of quantum computing algorithms. + - Added copy and paste support to the text_field. + - matrix object stuff + - Added the range() function as well as overloads of all the various + sub-matrix selection functions so that you can pick out slices of + matrices like in Matlab. + - Added a new template argument to the matrix object that allows the + user to select the memory layout. Also added a row_major_layout + and column_major_layout. + - The matrix object can now be initialized using a comma separated + list of values. + +Non-Backwards Compatible Changes: + - Changed the fatal_error exception class so that it aborts your program + and prints a message if you try to construct it more than once since + doing so indicates that you ignored the first fatal error. + - The way matrix expressions work in the library has been changed + since the last release. So if you created custom matrix expressions + then they will need to be updated to use the new matrix expression stuff. + +Bug fixes: + - Fixed a minor bug in how the zoomable_region widget drew itself after + a resize in some cases. + - Fixed a problem with draw_line where it didn't always redraw the line + properly. + +Other: + - A lot of the matrix code has been refactored and optimized. The matrix + object will now introduce temporary objects when doing so results in + better performance. I also added a simple system for binding + arbitrary matrix expressions to optimized BLAS routines. + - Cleaned up the vector and point classes. Now there is only one class, + the vector class, and it is capable of representing everything the old + vector and point class could. I also added code to make sure the + vector class does the appropriate type promotions when vector objects + with different types are used together. + - Made the vector class inherit from matrix +</old> + +<!-- ******************************************************************************* --> + +<old name="17.12" date="Nov 10, 2008"> +New Features: + - Added user settable styles to most of the gui widgets + - Added the diagm(), svd2() and svd3() matrix functions + - Added the thread_pool object + +Non-Backwards Compatible Changes: + - Removed the arrow_button widget and moved its functionality into the + button widget. + - Renamed the dragable class to draggable + - Removed the confusing and unnecessary hidden bool argument to the + gui widget style drawing functions. + - Changed some of the events that are about the mouse leaving a widget so + that they still trigger even if the widget has been disabled or hidden. + +Bug fixes: + - Added some missing mutex locks to the scroll_bar widget + - Fixed a bug in the fill_gradient_rounded() function. It didn't always + draw the entire rectangle. + - Fixed a compile time bug in the pinv() function. It didn't compile + when used on statically sized matrices when they weren't square. + +Other: + - The member_function_pointer object now never calls new or delete. + So it is safe to use in a real time environment. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.11" date="Oct 20, 2008"> +New Features: + - Added the sort_columns() and rsort_columns() functions + - Added the vector_normalizer object + - Added the normalized_function object. + - Added a tensor_product() function for the matrix object. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Made it so that the gui event handler thread isn't created at all + unless some part of an application calls some of the gui_core code. + In the previous release the event handler thread was executed + briefly during program termination and could cause problems if no + windowing environment was available. + - Fixed an #include statement in the matrix utilities so that it works + even if you don't specify an include path argument to your compiler. + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.10" date="Oct 09, 2008"> +New Features: + - Added a thread safe shared pointer object + - Added the popup_menu_region widget. + +Non-Backwards Compatible Changes: + - The on_wheel_up() and on_wheel_down() gui events now take an unsigned long + argument. + - Removed the register_program_ending_handler() function from the threading + API and also changed the dlib thread pool so that it no longer causes + a terminating program to wait for any outstanding threads to finish + before allowing the application to end. + - Changed the serialization format of the linearly_independent_subset_finder + class. + - Changed all the font pointers in the gui API's interfaces + to shared_ptr_thread_safe objects. + +Bug fixes: + - Made the kkmeans class actually use the min_change parameter. + - Fixed a bug in the linearly_independent_subset_finder object. Also + added a way to set a minimum tolerance. + - Fixed a bug in the scrollable_region widget that caused it to scroll in an + unpleasant way when the horizontal and vertical scroll increments weren't + set to the same value. + - Made one of the arguments to font::draw_string() not be a reference because + some versions of gcc don't end up doing the right thing when -O3 is + supplied. + - Fixed a bug in the covariance() function that prevented it from compiling + sometimes. + +Other: + - Changed the gui core code around so that it should be safe to make window + objects at the global scope. + - Added more control over how the scrollable_region scrolls its region. + You can now adjust how much it scrolls when the mouse wheel is scrolled + as well as enabling scrolling via a mouse drag. + - Modified the library so that it compiles with the Intel compiler. + - Added some example programs that use the relevance vector machine + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.9" date="Sep 06, 2008"> +New Features: + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a bug in the tooltip widget + - Fixed the cmake option to toggle the ENABLE_ASSERTS macro + - Fixed some bugs in the rvm + - Fixed the serialization code for the kkmeans object so that it actually + works + - Fixed a bug that can trigger when the thread_specific_data object is + destructed + - Fixed a bug in the directory navigation gui. If you tried to go + into a drive on windows that wasn't mounted you got an error. + This is now fixed. + +Other: + - Made the dir_nav stuff work with std::vector and dlib::std_vector_c + as well as dlib::queue objects. + - Generally cleaned up a bunch of things + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.8" date="Aug 14, 2008"> +New Features: + - Added relevance vector machine regression and classification support. + - Added the cross_validate_trainer_threaded() function + - Added the length and length_squared matrix functions. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Changed gui code a little so that windows don't popup in funny + places when used with the cygwin X windows system. + +Other: + - Made it easier to use the scoped_ptr with the TCP connection object + - Optimized the matrix object a little + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.7" date="Jul 25, 2008"> +New Features: + - Machine Learning + - Added the ability to compare kcentroid objects to each other + - Added the rank_features() function + - Added the distance_function object + - Added the reduced_decision_function_trainer object and + reduced() function + - Added the reduced_decision_function_trainer2 object and + reduced2() function + - Added a radial basis function network trainer + - Added the linearly_independent_subset_finder object + - Added the sigmoid_kernel + - Matrix Utilities + - Added the inv_upper_triangular() and inv_upper_triangular() + functions. + +Non-Backwards Compatible Changes: + - Refactored a bunch of the kernel learning code into a much cleaner form. + But this does change the interface to all the training functions. + +Bug fixes: + - Fixed a bug in the min and max calculation in the running_stats object + - Removed a bug in the sum() and variance() functions that + caused them to seg fault when they were used on certain + matrix of matrix objects. + - Added a missing check for division by zero to the conjugate gradient + optimization functions. + - Added some missing member variables to the .swap and serialization + functions for the kcentroid object. So now they should work right. + +Other: + - Added an option to the cmake file to toggle the DLIB_ASSERT macro + - Added an option to the cmake file to toggle the dlib stack trace macros + - Made the library compile in Cygwin + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.6" date="Jun 22, 2008"> +New Features: + - Merged in Keita Mochizuki's unicode patches to the GUI components. So + the dlib GUI now has better unicode support. + - Added the remove_row and remove_col matrix functions. Also made all + three of the above functions capable of taking arguments at run time + as well as compile time. + - Added the ability to cap the number of dictionary vectors used by the krls + and kcentroid object at a user specified number. + - Added the pick_initial_centers() function + - Added the running_stats object + +Non-Backwards Compatible Changes: + - Changed the interface to the krls and kcentroid objects somewhat. + - All of the style objects in the GUI part of the library now use + dlib::ustring instead of std::string. This only matters to you if + you have made your own style objects. + - Changed the serialization format of the krls, kcentroid, and + directed_graph_drawer objects. Note that is also means that the + files saved by previous versions of the bayes_net_gui_ex program + won't load with the current version. + +Bug fixes: + - Fixed an aliasing bug in the set_subm(), set_rowm(), and set_colm() + functions. It was possible that you could get incorrect results + if you used these functions to copy one part of a matrix to another + part of the same matrix if the two areas overlapped. + - Fixed a minor numerical error in the krls code so now it gets slightly + better results. + +Other: + - Made the types generated by the matrix operations a lot shorter. This + avoids some compiler warnings from visual studio and even some potential + internal compiler errors in some instances. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.5" date="Jun 2, 2008"> +New Features: + - Added some macros that allow dlib to create a stack trace + - Added the wrap_function and is_function templates. + - Added two new events to the text_field object. One for detecting when the + user hits enter and another for detecting when input focus is lost. + - Machine Learning + - Added a kernel based centroid estimator/novelty detector + - Added a kernel based k-means clustering algorithm + - Numerical + - Added an identity_matrix() function that can take a runtime defined size. + - Added a bunch of unconstrained optimization stuff to the library. + It now has a conjugate gradient optimization algorithm as well as + a quasi-newton algorithm. + - Added the set_subm, set_rowm, and set_colm functions. + +Non-Backwards Compatible Changes: + - In the krls object: Added a requires clause to the set_tolerance() member + function and renamed clear() to clear_dictionary(). + +Bug fixes: + - Fixed a bug in the requires clause of the subm() function. It was + more restrictive than it should have been. + +Other: + - Added example programs for the krls object as well as the new + kcentroid and kkmeans objects. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.4" date="May 12, 2008"> +New Features: + - Added an implementation of the kernel recursive least squares algorithm + +Non-Backwards Compatible Changes: + - Broke backwards compatibility in the directed_graph_drawer's serialization + format when I fixed the bug below. + +Bug fixes: + - Fixed two bugs in the directed_graph_drawer widget. First, it sometimes + threw a dlib::fatal_error due to a race condition. Second, the color of + the nodes wasn't being serialized when save_graph() was called. + - Made vector_to_matrix() work for std::vector objects that have non-default + allocators. + +Other: + - Added some stuff to make people get a really obvious error message + when they set up the include path incorrectly. + +</old> + +<!-- ******************************************************************************* --> + +<old name="17.3" date="Apr 28, 2008"> +New Features: + - Added the vector_to_matrix() function. + - Added a cholesky_decomposition() function. + - Added the toggle_button GUI widget + - Added a default toggle button style as well as check box and + radio button styles. + - Added a single click event to list_box + - Added a save_file_box() and open_existing_file_box() function. + +Non-Backwards Compatible Changes: + - Changed the check_box and radio_button widgets to be specializations of + the new toggle_button object. This is a nearly backwards compatible + change except that the events registered to check_box and radio_button + clicks must now take the form void event(toggle_button&) or + void event(void) instead of the previous void event(check_box&) and + void event(radio_button&). + - Removed the is_mouse_over bool from the button_style::draw_button() + function. + +Bug fixes: + - Fixed a compiler error in mingw. + - Changed the preprocessor checks for the wchar_t overload of + is_built_in_scalar_type so that it works properly with visual studio. + +Other: + - Added a Bayesian Network GUI that allows you to create a network + and serialize it to disk. +</old> + +<!-- ******************************************************************************* --> + +<old name="17.2" date="Apr 21, 2008"> +New Features: + - GUI Related + - Added the scrollable_region widget + - Added the text_grid widget + - Added an event to the text_field so you can tell when the + user modifies it. + - Added the fit_to_contents() function to the tabbed_display + widget. + - Bayesian Network Related + - Added the node_first_parent_assignment(), node_next_parent_assignment(), + and node_cpt_filled_out() functions. + +Non-Backwards Compatible Changes: + - Reverted the change in 17.0 where I made drawable::lastx and + drawable::lasty not match the current location of the mouse inside + the on_mouse_move() event. I changed this back to how it was before, + so now lastx and lasty represent the most current record of where + the mouse is in *all* events. + - Changed the functions that control text color in the label and text_field + widgets to use rgb_pixel objects. Also added a function to set the + background color of a text_field. + +Bug fixes: + - Fixed a bug in the bayesian_network_join_tree object that caused it to + compute incorrect results for some networks. + - GUI Related + - Fixed a minor bug in the cursor drawing of the text_field + gui widget. + - Fixed a bug in the compute_cursor_rect() function. It would return an + incorrectly positioned rectangle for 0 length strings. + - Changed the way wchar_t is handled in the serialize.h file. Now + everything should compile correctly in visual studio regardless of how + you set the /Zc:wchar_t compiler option. + - Fixed a bug in the menu_bar widget. One of the members wasn't being + initialized when it needed to be. + - Fixed a bug in the tabbed_display where it didn't redraw itself + correctly after it was moved by set_pos() + +Other: + - Changed the xml parser so that it counts line numbers + from the start of the input stream instead of from the + root tag. + - Changed the xml parser so that you will only get the fatal_error + event once if it occurs. +</old> + +<!-- ******************************************************************************* --> + +<old name="17.1" date="Apr 13, 2008"> +New Features: + - Added a zoomable_region widget + - Added a directed_graph_drawer widget + +Non-Backwards Compatible Changes: + - Changed the first_pixel argument of the draw_string() function + to be a rectangle like all the other draw functions now use. + +Bug fixes: + - Fixed a bug in the tooltip widget that was triggered when calling + its member functions without calling set_tooltip_text(). This also + fixed a bug in the button object that triggered when calling some button + functions that referenced the tooltip widget. + - Fixed a problem in the draw_circle and draw_solid_circle functions. + They didn't draw themselves quite correctly in all cases. + +Other: +</old> + +<!-- ******************************************************************************* --> + +<old name="17.0" date="Apr 07, 2008"> +New Features: + - Added a png_loader object + - GUI related + - Added a popup_menu widget + - Added a menu_bar widget + - Added a tooltip widget + - Added a user selectable style to the gui button. + - Added the draw_rounded_rectangle() and fill_gradient_rounded() functions + - Added the mouse_over_event object to the base_widgets and made the + button_action inherit from it. + - Added the drawable::next_free_user_event_number() function + - matrix and geometry: + - Added a size() function to matrix_exp and matrix_ref objects. + - Added a class that represents 2D points + - Added the following matrix functions: + - squared(), cubed(), get_rect(), a subm() function that takes + rectangles, and normalize() + - Added the following rectangle functions: + - area(), centered_rect(), translate_rect(), move_rect(), resize_rect(), + resize_rect_height(), resize_rect_width(), and nearest_point() + +Non-Backwards Compatible Changes: + - Renamed atom() to array_to_matrix() + - Moved the rectangle object from the gui_core into a new geometry folder + (only matters if you were directly including the rectangle file) + - Moved the vector object into the geometry folder. Also removed the kernel_1a + stuff. So there is now only one possible vector implementation. + - Changed the default position for a rectangle to (0,0) instead of (1,1) + - Added edge data to the directed_graph. This breaks backwards compatibility + with the previous serialization format for directed_graphs. + - GUI related: + - Changed the base_window::on_keydown event signature so that it now + reports more keyboard modifier keys (e.g. alt) + - Made the functions for drawing on canvas objects take points and pixels + instead of just a bunch of integers. Also changed the order of the + arguments so that the canvas comes first, followed by the location + to draw on, then what to draw. + - Moved the canvas drawing functions into the gui_widgets/canvas_drawing.h + file. + - Modified the drawable_window so that the drawable::lastx and drawable::lasty + fields are updated after calls to on_mouse_move. This way the x and y that + go into the on_mouse_move actually tell you something. + +Bug fixes: + - Fixed a bug in the floating point serialization code. It + didn't handle NaN or infinities correctly. + - Fixed a bug in the win32 version of the gui_core component. It was + possible that calling set_size(), set_pos(), or set_title() could cause + the program to deadlock. + - Made the load_bmp() function more robust in the face of weirdly + written BMP files. + - Modified the draw_circle() and draw_solid_circle() functions so that they + only touch each canvas pixel once. This avoids messing up alpha blending + if an rgb_alpha_pixel is used. + +Other: + - Removed the old win32 only gui code in the dlib/gui folder. + - Changed the default GUI font to a nicer Sans Serif font +</old> + +<!-- ******************************************************************************* --> + +<old name="16.5" date="Mar 04, 2008"> +New Features: + - Added another constructor to the thread_function object. + Now it can take proper function objects as well as normal function + pointers. + - Added the probabilistic_decision_function object and svm_nu_train_prob() + function. + +Non-Backwards Compatible Changes: + - Changed the svm train functions so that the cache_size argument + now measures the max number of megabytes of memory to use rather + than number of kernel matrix rows to cache. It's default + value is now 200MB. + - changed the type typedef in the SVM kernel function objects to + be named sample_type instead of type. + +Bug fixes: + - Fixed a bug in the trim, rtrim, and ltrim functions. They + didn't return empty strings when the input string contained all + trim characters. + - Fixed a bug in the decision_function's copy constructor + +Other: + - Added an optimization to the working set selection for the svm training code. + Now the algorithm will prefer to select indices that are in the kernel + matrix cache when possible. + - Fixed a problem with the chm documentation file where many of the links + didn't work. + - Made the support vector functions capable of operating with floats, doubles, + and long doubles instead of just the double type. +</old> + +<!-- ******************************************************************************* --> + +<old name="16.4" date="Feb 22, 2008"> +New Features: + - Added aversion of the draw_line() function for images. + - Added the atom(), rowm(), colm(), and subm() matrix functions. + - Added some push/pop_back() functions to the array object that are similar + to the ones in the std::vector. + - Added the std_vector_c class that wraps std::vector and checks its + function's preconditions. + - Added the polynomial_kernel object for use with the svm algorithm. + +Non-Backwards Compatible Changes: + - Changed the svm_nu_cross_validate() function to return a vector + of both the +1 and -1 cross validation accuracies. + +Bug fixes: + - Fixed a bug in the list_box that caused it to not hide itself properly + when told to do so. + - Fixed canvas::fill() gui function so that it should work right + on 64 bit platforms. + +Other: +</old> + +<!-- ******************************************************************************* --> + +<old name="16.3" date="Feb 12, 2008"> +New Features: + - Added memory manager support to the matrix object. + +Non-Backwards Compatible Changes: + - Made the assign_pixel() function saturate grayscale values bigger + than the target pixel type can handle. Previously it would just + truncate the numbers. + - Removed rand_kernel_1 and rand_kernel_2 because they gave very + inferior results compared to rand_kernel_3. I then renamed + rand_kernel_3 to rand_kernel_1. + - Renamed rand::get_random_number() to get_random_8bit_number() and also + added a get_random_16bit_number() and get_random_32bit_number() + - Added a checksum to compress_stream_kernel_1 and kernel_2. This + breaks backwards compatibility with the previous versions. That is, + the new implementations will complain that decompression fails if + you give them data compressed with the old non-checksum version of + the compression routines. + - Removed the width() and height() functions from the array2d object. + Now only the equivalent nc() and nr() member functions remain. + - Changed array2d::set_size(width,height) to set_size(num_rows, num_cols). + That is, I switched the order of the two arguments to this function. + The reason for doing this is to make it have the same form as the + set_size() member of the matrix object. This way the usage of the + set_size() member for these two very similar data structures is + the same. Hopefully this will reduce confusion rather than + make things worse. + +Bug fixes: + - Fixed a bug in the image_widget. It didn't repaint the screen + all the way if you gave it a smaller image to display. + - Fixed a bug in the cat() function that caused the state of the queue + to be broken if you called cat with an empty queue. + - Made the queue_sort_1 use a better sorting algorithm. In particular, it + will not sort slowly for nearly sorted data. + - Fixed a bug in the queue_kernel_2 object that caused it to not work + correctly with the non-default memory managers. + +Other: + - Added example code for the member_function_pointer as well as the matrix + object. + - Added some more regression tests and made some of the longer running + ones execute a lot quicker. + - Made the unit test suite easier to use. Now tests just throw an exception + to indicate an error rather than returning an error code. + - Added an example program for the multi-layer perceptron neural network. +</old> + +<!-- ******************************************************************************* --> +<old name="16.2" date="Jan 25, 2008"> +New Features: + - Added the is_signed_type and is_unsigned_type templates + - Image Processing stuff + - Added the assign_all_pixels() function + - Added the assign_border_pixels() function + - Added the assign_pixel_intensity() function + - Added the auto_threshold_image() function + - Added the binary_union() function + - Added the edge_orientation() function + - Added the get_histogram() function + - Added the get_pixel_intensity() function + - Added the hysteresis_threshold() function + - Added the sobel_edge_detector() function + - Added the suppress_non_maximum_edges() function + - Added the zero_border_pixels() function + - Changed the pixel_traits structure so that it can support 8, 16, and 32 + bit grayscale pixels. + +Non-Backwards Compatible Changes: + - Added more fields to the pixel_traits template so if you had defined your + own pixel types you will need to update them. + +Bug fixes: + - Fixed some compiler errors in Visual Studio 2008 + +Other: + - Generally tried to clean up the documentation and code in this release + +</old> + +<!-- ******************************************************************************* --> + +<old name="16.1" date="Jan 1, 2008"> +New Features: + - Added the randomize_samples() function + - Added the set_main_font() and main_font() functions to the drawable object. + So now the drawable widgets can use a user provided font. + +Non-Backwards Compatible Changes: + - Made the named_rectangle object a little easier to use. It now won't + let you size it so small that it doesn't display its entire name. + +Bug fixes: + - Fixed a bug in the svm_nu_train() function that caused a crash with + some inputs. + - Fixed a compile time error that occurred when compiling the bayesian + network code in Mac OS X. + - Fixed a bug in the compute_cursor_pos() function where it would + return the incorrect value. + +Other: + - Added an example showing how to use the svm functions. + +</old> + +<!-- ******************************************************************************* --> + +<old name="16.0" date="Dec 10, 2007"> +New Features: + - Added the left_substr() and right_substr() functions + - Added the zero_extend_cast() function + - Added the unsigned_type template + - Added the uint8 typedef + - Bayesian Network related + - Added the assignment object + - Added the bayes_node object + - Added the joint_probability_table object + - Added the conditional_probability_table object + - Added the bayesian_network_gibbs_sampler object + This object implements an algorithm that performs approximate inference + in a Bayesian Network. + - Added the bayesian_network_join_tree object + This object implements an algorithm that performs exact inference + in a Bayesian Network. + - Set related + - Added the set_intersection_size() function + - Added the set_union() function + - Added the set_intersection() function + - Added the set_difference() function + - Graph related + - Added the graph object + - Added the is_graph template + - Added the is_directed_graph template + - Added the create_moral_graph() function + - Added the triangulate_graph_and_find_cliques() function + - Added the graph_contains_length_one_cycle() function + - Added the find_connected_nodes() function + - Added the graph_is_connected() function + - Added the is_clique() function + - Added the is_maximal_clique() function + - Added the copy_graph_structure() function + - Added the create_join_tree() function + - Added the is_join_tree() function + - Added the edge() function + - GUI related + - Added the base_window::get_display_size() function + - Added message_box_blocking() + - Added the bdf_font object which is capable of loading BDF font files into + the font object used by the gui_widgets + - Better Unicode support + - Added the basic_utf8_ifstream: An input stream that can read UTF-8 files + - Added serialization support for wchar_t and std::wstring + - Added the is_combining_char() function + - Added the convert_utf8_to_utf32() function + - Modified most of the string manipulation functions in dlib/string.h + to work with any kind of character type + - The gui widgets' font object now works with Unicode text (i.e. wchar_t + and unichar strings) as well as with normal char data. + +Non-Backwards Compatible Changes: + - The dlib/all_console.cpp and dlib/all_gui.cpp files have been deprecated + in favor of a new file. Now to build with dlib you simply add + dlib/all/source.cpp to your project regardless of what type of project + you are building. + - The GUI program entry point, winmain(), has been removed. You can now use + the normal main() entry point or some other non-standard entry point + provided by your compiler. + - Renamed directed_graph::node::item to directed_graph::node::data + +Bug fixes: + - Fixed some build issues in gcc 4.2 involving some uses of the std_allocator + - Fixed some build issues in Visual Studio involving the dir_nav component + and building with NO_MAKEFILE #defined. + - Moved the #define that disables the old WinSock API into the sockets cpp + file. This should avoid conflicts with people who are using the old WinSock + API. + - Changed the tuple template slightly to avoid a bug in Visual Studio 7.1 + that caused a compile time error in some instances. + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.12" date="Nov 18, 2007"> +New Features: + - Added a destroy() function to the map, set, hash_map, and hash_set objects. + - Added the tuple object + - Added an overload of connect() that has a timeout + - Added rand_kernel_3 as a random number generator that uses the Mersenne Twister + algorithm. + - Added the directed_graph object + - Added the graph_contains_undirected_cycle() and graph_contains_directed_cycle() + functions. + - Added the std_allocator object. It is a STL style allocator that can use + the dlib memory manager objects. + - std::string manipulation functions: + - Added the cast_to_string() function. + - Added the tolower() function + - Added the toupper() function + - Added the ltrim() function + - Added the rtrim() function + - Added the trim() function + - Added the lpad() function + - Added the rpad() function + - Added the pad() function + +Non-Backwards Compatible Changes: + - Changed the default logging level from LNONE to LERROR + - Renamed the ASSERT macro to DLIB_ASSERT and CASSERT to DLIB_CASSERT. + This rename avoids a conflict with a macro inside MFC. + - Changed the logger so that settings are inherited when a new logger + is instantiated rather than just having the new logger use the + default settings. + - Removed the logger::clear() function since it no longer really + makes sense given the above change. + - Removed the get_main_thread_id() function and replaced it with the + is_dlib_thread() function. + +Bug fixes: + - Pushed some things into cpp files because doing so avoids build and/or + runtime errors on some platforms. + +Other: + - Changed the string_cast() function so that it will recognize the words true + and false as boolean values. Also improved the error message inside the + string_cast_error exception object. + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.11" date="Oct 25, 2007"> +New Features: + - Added the covariance() function + - Added the rgb_alpha_pixel pixel type and modified all relevant functions to + support it. + +Non-Backwards Compatible Changes: + - The GUI changes that are non-backwards compatible: + - The alpha parameter is now an unsigned char instead of unsigned int + and its range is now 0 to 255 instead of 0 to 256. + - The image_widget no longer has any member functions dealing with + alpha values. If you want to use alpha blending you just give it an + image that has an alpha channel. The same goes for draw_image(). + - There are now more fields in the pixel_traits template. So if you were + defining your own pixels before you will need to update your pixel_traits + specializations. + +Bug fixes: + - Made some functions non-inline and put some things on the stack + instead of heap. Doing this avoids some problems with certain + kinds of builds in visual studio. + +Other: + - Modified the message_box() function so that it is safe to call end_program() + from within its callback event. + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.10" date="Oct 09, 2007"> +New Features: + - Modified the GUI drawing functions to take an alpha argument to allow + alpha blending. + - Added the svm_nu_cross_validate() function to perform k-fold + cross validation using the svm_nu_train() function. + - Added the boost enable_if templates + - Added the rand_float extension to the rand object. + - New matrix features: + - Added the pinv() function + - Changed round_zeros() to use the machine epsilon instead of 1e-6 as + its default epsilon. + - Modified the matrix object so that you can declare them with + a static dimension and a dynamic dimension. E.g. matrix<float,0,10> + is now legal and declares a matrix with a fixed number of columns(10) + and a variable number of rows. + - Added the equal() function to compare two matrices of floating + point numbers for near equality. + - Changed the matrix so that operator(long) works for both + column vectors and now also for row vectors. + - Added a set_size() and constructor that takes a single long for use in + sizing row and column vectors. + - Added the scale_columns() function + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed an error in svm_nu_train() where it would incorrectly + complain of incorrect nu values for some datasets. + - Added a missing std:: qualifier at two points in the dlib/vector code that + could cause a compiler error in some instances. + +Other: + - Added a term index to the documentation. + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.9" date="Sep 25, 2007"> +New Features: + - Added a nu support vector classifier training function. + - Added a multilayer neural network object. + - Added the "destructive aliasing" checks into the matrix code. Now temporary + matrices are only created during assignment if the right hand side aliases + the left hand side in a destructive way. This removes many of the previous + uses of temporary matrices. + - Made the sum() matrix function be able to sum matrices of matrices + - New matrix functions: + - acos(), asin(), atan(), ceil(), cos(), cosh(), exp(), floor(), log(), + log10(), mean(), norm(), pow(), reciprocal(), round_zeros(), sin(), + sinh(), sqrt(), tan(), tanh(), variance(), and more overloads of + uniform_matrix(). + +Non-Backwards Compatible Changes: + +Bug fixes: + - Added missing nr() and nc() functions to the uniform_matrix() and + identity_matrix() functions. + - Forgot to add a destructor for the dynamically sized matrix resulting in a + memory leak. This is now fixed. + - Fixed various potential compile time errors + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.8" date="Sep 11, 2007"> +New Features: + - Added a copy of the boost noncopyable base class. + - added some smart pointers: + - added shared_ptr + - added weak_ptr + - added scoped_ptr + +Non-Backwards Compatible Changes: + +Bug fixes: + +Other: + - Cleaned up the assert code and removed the need for the dlib/error.ccp file + - Made the matrix take better advantage of the compile time sized + dimensions when it can. + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.7" date="Aug 26, 2007"> +New Features: + - Made it so that command line options have a default conversion to bool + and the bool tells you if they are on the command line or not. + - Added an implicit conversion to a scalar to the matrix object + when it is of dimension 1x1. + - Added the thread_function object + - Added a function to compute the singular value decomposition of a matrix. + +Non-Backwards Compatible Changes: + - Added two new arguments to the on_request() function. They allow you to + see what HTTP headers the client sends you and to control which ones + you send back. + +Bug fixes: + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.6" date="Aug 18, 2007"> +New Features: + - matrix object additions: + - Added some functions to convert between matrix and pixel objects. + - Added the clamp() function that operates on matrix objects. + - Added the sigmoid function. + - Made the matrix object capable of being sized at runtime in addition + to its original compile time static sizing capability. + - Added 3 and 4 argument versions of pointwise_multiply() + - Added the +=, -=, *= and /= operators to the matrix object. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed the line numbering in the color pretty printer. Wasn't being + done correctly. + - Fixed a bug in the matrix round() function. + - Fixed some miscellaneous compile time errors + - Fixed a bug in the matrix removerc() function. + - Added some missing checks to catch invalid negative index inputs to + matrix objects. + - Fixed a bug in the matrix inv() function. It could sometimes + segfault if used on certain singular matrices + +Other: + - string_cast() can now convert hex strings to integers + - You can now say myarray2d.set_size(0,0) and have it do what + you would naturally expect. + - Added some #pragma statements that tell visual studio + to link the right system libraries automatically. + So now you don't have to add these things in the + project settings anymore. + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.5" date="Jul 12, 2007"> +New Features: + - Added the set_all_logging_levels(), set_all_logging_output_streams() + functions + - Added the configure_loggers_from_file() function which allows you to + easily configure all logger objects using a textual configuration + file. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Added a workaround into the code that avoids a potential compilation + error on Mac OS X systems. + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.4" date="Jun 30, 2007"> +New Features: + +Non-Backwards Compatible Changes: + +Bug fixes: + - Fixed a bug in the POSIX version of the hostname_to_ip() function. It was + screwy if you asked for more than the first IP address (the same address + might be returned more than once). + - Fixed a bug in the pipe object's timeout functions. The timeouts weren't + working correctly. + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.3" date="Jun 25, 2007"> +New Features: + - Added the wait_for_num_blocked_dequeues(), enable_enqueue(), + disable_enqueue(), and is_enqueue_enabled() functions to the pipe object. + - The pipe object can now be used with a zero length buffer. + +Non-Backwards Compatible Changes: + - There is no longer a pipe::kernel_1a_c typedef since the pipe + no longer has any requirements to check (due to the change of allowing + zero length buffer sizes) + +Bug fixes: + +Other: + - Made the ASSERT and CASSERT macros call dlib_assert_breakpoint() when they + fail. This way you can easily set a breakpoint on them in a debugging + tool by breaking on calls to this new function. + - Fixed some typos and unclear parts of the pipe spec. + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.2" date="Jun 11, 2007"> +New Features: + - Added a thread safe version of the config_reader object (in the form of an + extension to the config_reader) + - Added the wait_until_empty() function to the pipe object. + +Non-Backwards Compatible Changes: + - Removed the connection::close() and listener::close() functions. They have + been replaced by destructors. To upgrade old code all you have to do is + replace statements of the form "object->close();" with "delete object;". + Both statements do exactly the same thing. However, for connection objects, + you should probably be using the close_gracefully() function instead. + +Bug fixes: + - Removed a potential compile time error in the dng image format handling code. + - Fixed a bug in the bigint object. The destructor was using "delete" + when it should have been using "delete []" + - Fixed a resource leak in the POSIX version hostname_to_ip() + - Fixed a significant memory leak in memory_manager_kernel_1 + - Fixed a memory leak that could occur in memory_manager_kernel_2 + and memory_manager_kernel_3 when the constructor for the object + being constructed threw an exception. + - Added a missing delete statement to plug a memory leak + in the md5 computation code. + - Fixed an uninitialized variable warning from valgrind + (in lz77_buffer/lz77_buffer_kernel_2.h). I think this could + also potentially result in an error when decoding data but I'm not totally + sure. But either way it is fixed now. + - Changed a call to memcpy to memmove in the sockstreambuf_kernel_2 + implementation since the copy could potentially be of overlapped memory. + +Other: + - Changed the connection::read() and connection::write() functions to take + longs instead of unsigned longs as the buffer sizes. They also now + return longs instead of ints. This should be a backwards compatible change. + - Started using the valgrind tool to check for memory errors in the project and + found a few things. Very nice tool :) + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.1" date="Jun 04, 2007"> +New Features: + - Added the multithreaded_object extension to the threads API + - Added the load_dng() and save_dng() functions which can load and store + the DNG lossless compressed image format (which I just made up). + +Non-Backwards Compatible Changes: + - Changed the serialization format for bool to use a 1 byte code rather than 2 + bytes. So this breaks compatibility with the old format. + +Bug fixes: + - The serialization for bool didn't always work right. This is now fixed. + +Other: + +</old> + +<!-- ******************************************************************************* --> + +<old name="15.0" date="May 16, 2007"> +New Features: + - New faster version of the bigint object (bigint_kernel_2) that uses + the Fast Fourier Transform to perform multiplications. + - The base_window can now be an "undecorated" window. This new type is suitable + for making things like popup menus and the like. + - Added the on_focus_lost() event to the base_window object + - Added the on_focus_gained() event to the base_window object + - Added the on_window_moved() event to the base_window object + - Added the get_pos() function to the base_window object + - Updated the gui_widgets's drawable interface stuff to support the three + new event types and the new window type. + - Added the drawable::draw_rectangle() function + - Added serialization support for std::complex. + - Added the assign_image() function + +Non-Backwards Compatible Changes: + - Removed the color arguments from the drawable_window object's constructor and + added a new boolean argument (if it is an undecorated window or not). This + probably won't break any code but if it does you should get a compiler error + about it. + - Made it so you must disable the events in the destructor for your + drawable gui widgets. Doing so avoids potential race conditions when + destructing drawable objects. + - Made it so that you are required to call close_window() in a window object's + destructor. This avoids a potential race condition. + +Bug fixes: + - Added a workaround for a bug in MinGW that caused the regression test suite + to crash when compiled with -O3. + - Fixed a potential bug in the X Windows version of the gui_core component. + Added an extra XFlush() to end_program() because without it a + program can crash when calling end_program() in certain instances. + - The spec for the pipe object said that objects you enqueue into it + had an "initial value for their type" after the function completes. This + is incorrect, they are swapped into the pipe so they have an undefined + value afterwards. I fixed the spec for the pipe to say this. + - Fixed a bug in the font rendering functions in the gui_widgets + component. It could cause a segmentation fault sometimes. + - Fixed some potential deadlocks in the windows version of the gui_core + component. + - Fixed a bug in the rsignaler object. When you called wait() or + wait_or_timeout() it only unlocked the associated rmutex once (it could be + locked more than once and thus might cause a deadlock since the thread + calling wait() wouldn't actually unlock the mutex in this case). + - Fixed the initialize_array() function in memory_manger_kernel_3 to be + exception safe. Previously if an exception occurred while creating + an array then a resource leak was created. + +Other: + - Changed the package format for the library somewhat. The examples are now + located in their own top level folder. Additionally, the HTML version of the + documentation also comes in the same archive as the source rather than in a + separate download. + - Started using major and minor version numbers rather than just major ones. + +</old> + +<!-- ******************************************************************************* --> + +<old name="14" date="Apr 11, 2007"> +New Features: + - Added operator<< and operator>> iostream operators to the vector object. + +Non-Backwards Compatible Changes: + - Changed the xml_parser's document_handler interface: + made empty element tags (<like_this/>) trigger the end_element() callback + and removed the is_empty bool from start_element(). + +Bug fixes: + - Fixed a potential race condition between the destruction of the thread pool + and the "program ending handlers" stuff. + +Other: + - Made the xml parser more robust to different types of new line characters. + - Modified the source slightly so that it works with mingw. + +</old> + +<!-- ******************************************************************************* --> + +<old name="13" date="Mar 01, 2007"> +New Features: + - The config_reader is now enumerable. + - Added the image_widget gui object. + - Added nr() and nc() to the array2d object. + - Added the shutdown_connection() function to the iostream extension + to the server object. + - Added the timer_kernel_2 implementation which is a version of the timer object + that is more efficient in its allocation of threads. + - Added the timeout object. + - There is now a CMakeLists.txt file located in the dlib folder. See + dlib/examples/CMakeLists.txt and dlib/test/CMakeLists.txt for examples + that use CMake to build projects using this library. + - Added the register_program_ending_handler() function to the threading API. + +Non-Backwards Compatible Changes: + - Removed the config_reader::get_blocks() function. Use the + new enumerable interface for the config_reader instead. + - The array2d object now uses longs instead of unsigned longs to report + its dimensions and access its elements. + - Added a uint64 to the on_connect() callback in the iostream + extension to the server object. + - timer::set_delay_time() now throws and timer::start() now may throw + std::bad_alloc. + +Bug fixes: + - Fixed a bug in end_program(). In X Windows it might not cause the + program to end right away if it was called from outside the event + handling thread. + - Fixed a bug in the implementation of the timeout part of the + close_gracefully() function. + +Other: + - The library now works on HP-UX + - The regression test suite now has command line arguments that + enable tests to send debug messages to a file. + +</old> + +<!-- ******************************************************************************* --> + +<old name="12" date="Feb 07, 2007"> +New Features: + - The http server extension now supports the POST HTTP method. + - The attribute list object in the xml_parser is now enumerable. + - Added the threaded object extension + - Added the uintn.h file which defines fixed sized unsigned integral types. + +Non-Backwards Compatible Changes: + - Renamed the on_get() callback in the http extension to the server object to + on_request() + - Removed the network byte order functions from the sockets api. (They are still + really there though since they come from actual OS header files. But + officially they have been replaced by the byte_orderer component). + - Renamed dlib/uint64.h to dlib/uintn.h + +Bug fixes: + +Other: + - The command line parser will now let you declare long named options with - + characters in them. + - Made it so you can use the COMPILE_TIME_ASSERT macros anywhere rather than + just inside functions. + +</old> + +<!-- ******************************************************************************* --> + +<old name="11" date="Dec 27, 2006"> +New Features: + - For dlib::matrix + - Added the tmp() function + - Added optimized specializations of inv() and det() for 1x1, 2x2, 3x3 and + 4x4 matrices. + - Added the removerc() function + - Sockets related + - Added the connect() function + - Added the is_ip_address() function. + - Added the close_gracefully() function + - Added the iostream extension to the server object. + - Added the http extension to the server object. + +Non-Backwards Compatible Changes: + - Changed the cpp_tokenizer to not convert characters to their html form. + +Bug fixes: + - Removed some potential compile time errors. See the change log for details. + +Other: + - Improved the web site + - Added some more example code + - Added more colors to cpp_pretty_printer_kernel_1. +</old> + +<!-- ******************************************************************************* --> + +<old name="10" date="Nov 28, 2006"> +New Features: + - std::map is now serializable + - Added the matrix object and a bunch of supporting code. + - Added the list_box graphical widget + - Added the fill_rect_with_vertical_gradient() function to the + drawable interfaces list of drawing helpers. + - Added the open_file_box() function which provides a simple file chooser. + +Non-Backwards Compatible Changes: + +Bug fixes: + - Made timestamper::get_timestamp() be a const function like it should. Fixes + some compile errors. + - Fixed a bug in the font::draw_string() function. It didn't redraw + multi-line strings right. + - Fixed a bug in the scroll_bar object that would cause a compile + error if you tried to call its width() function. + - Fixed a bug in the array_kernel_1 object. It would cause a segmentation fault + when used sometimes. + +Other: +</old> + +<!-- ******************************************************************************* --> + +<old name="9" date="Oct 23, 2006"> +New Features: + - Added the following image transformation functions: + - Added the equalize_histogram() function + - Added the spatially_filter_image() function + - Added the threshold_image() function + - Added the binary_dilation() function + - Added the binary_erosion() function + - Added the binary_open() function + - Added the binary_close() function + - Added the binary_intersection() function + - Added the binary_difference() function + - Added the binary_complement() function + - Added the clear(), load_from() and default constructor back into the + config_reader. + - Made the member_function_pointer copyable and also added operator== and != + to it. + +Non-Backwards Compatible Changes: + - Made the vector object templated so you can use types other than double with it. + But now you + have to specify what type you want to use which is slightly different. + - The asc_pair_remover and asc_remover abstract classes now take a third template + argument. I highly doubt this effects any code outside the library but it is + possible. + +Bug fixes: + - Fixed a bug in the base_window::set_size() function. If you specified a size + of (0,0) it caused your program to error out. This has now been fixed. + - Fixed a bug in the scroll_bar widget. + - Fixed a bug in save_bmp(). For some image sizes it would output a goofy + looking skewed image. + +Other: + - Switched everything that used to call operator< directly to instead use + std::less or to take a template argument that provides a compare functor that + defaults to std::less. +</old> + +<!-- ******************************************************************************* --> + +<old name="8" date="Oct 03, 2006"> +New Features: + - Added the assign_pixel() function + - Added the hsi pixel type + - Added the save_bmp() function + - Added the static_switch template + +Non-Backwards Compatible Changes: + - Changed how the config_reader works. It now has a more powerful syntax and + improved interface. Converting any old code to use the new version should be + simple since the new file syntax is very nearly backwards compatible with the + old syntax. (i.e. You probably won't have to change anything about your + config files) + - Renamed the dlib/image_loader.h file to dlib/image_io.h since it now includes + the image saver stuff. + - Renamed the pixel struct to rgb_pixel + - Renamed pixel_traits::color to pixel_traits::rgb + - Renamed pixel_traits::scalar to pixel_traits::grayscale + +Bug fixes: + - Fixed a bug in the load_bmp() function. It would load 24bit bmp files + incorrectly. + - Changed the logger so that it won't deadlock if you write something similar to + my_log << LINFO << function_that_also_logs();. Although this is a + dumb thing to do. But even so, it shouldn't deadlock. + - Fixed a potential linking problem with the vector object. + +Other: + - I decided I'm not going to support Borland v5.5.1 anymore. There are just too + many bugs in this compiler. It is very old at this point so I don't see this + being a big deal. + - Made the drawable::draw_image() and load_bmp() functions able to handle images + of any type of pixel. + - Pulled the imaging, algorithmic and metaprogramming stuff out of the + miscellaneous section of the web page and gave them all their own sections. +</old> + +<!-- ******************************************************************************* --> + +<old name="7" date="Sep 18, 2006"> +New Features: + - Added a logger header that prints the date and time. + - Added the LTRACE logging level + - Added a buffered implementation of sockstreambuf. + +Non-Backwards Compatible Changes: + - Changed the specs to say that sockstreambuf may be buffered. + sockstreambuf_kernel_1 is still just as it always has been though. So all old + code will still work just as it always has. But all the same, the specs have + been changed and now allow for an implementation that is not 100% backwards + compatible. + - rand_kernel_2 now emits a different string of random numbers. + +Bug fixes: + - Changed the logger object's implementation to not try to register + a thread end handler for the main program thread anymore. This was + technically a bug according to the spec but it actually did end up + working the way it was supposed to. But even so, it shouldn't have + been doing that. + - Changed binary_search_tree_kernel_1 so that it avoids a bug in the version of + gcc on SuSE Enterprise Linux 9. + - Fixed a bug in the rand_kernel_2 implementation. It wasn't giving good + random numbers. + +Other: + - Modified the code so that you don't get any warnings when -Wall is used with + GCC. +</old> + +<!-- ******************************************************************************* --> + +<old name="6" date="Aug 30, 2006"> +New Features: + - Added the ASSERT_ARE_SAME_TYPE macro + - Added the is_same_type template + - Added the get_main_thread_id() function to the threading API + - Added the thread_specific_data extension to the threading API + - Added the logger object. + - Added the auto_unlock object to the threading API. + +Non-Backwards Compatible Changes: + +Bug fixes: + +Other: + - Added an example that is specifically about using threads + - Added two examples about using the logger object +</old> + +<!-- ******************************************************************************* --> + +<old name="5" date="Aug 18, 2006"> +New Features: + - Added the memory_manager_stateless object and two implementations of it. + - Added the MACOSX macro to dlib/platform.h + - Added a templated version of create_new_thread() that allow you to start + a thread with a member function. + - Added the register_thread_end_handler() function to the threading kernel API. + - Added memory_manager_kernel_3 + +Non-Backwards Compatible Changes: + - Changed the meaning of the memory_manager_global::get_number_of_allocations() + function because the previous definition of it didn't really make sense for + this object. + - Changed the threading API to wait for all outstanding threads to terminate + before allowing the program to end. It used to just let the OS trash those + threads when main() ended but this isn't a safe or portable thing to do. I + used to assume the user would make sure all their threads were done and had + cleaned up whatever they were doing before main() ended but this is too much + of a burden on the end user. So now the library will wait for your threads to + end. You still need to have some way of telling them it is time to stop though. + +Bug fixes: + - Fixed a minor bug in dlib/timer/timer_kernel_1.h. Its implementation was + slightly off according to the specification of a timer object. + +Other: + - The byte_order object is now capable of flipping entire arrays. + - Made it so that the ENABLE_ASSERTS macro is defined whenever ASSERT is + on. + - Made the array container use the memory managers. + +</old> + +<!-- ******************************************************************************* --> + +<old name="4" date="Jul 18, 2006"> +New Features: + - Added functions to explicitly convert to/from little and big endian to the + byte_order object. + - Added the allocate_array() and deallocate_array() functions to the + memory_manager. + - Created the memory_manager_global object + - Added the remove_last_in_order(), position_enumerator() and + remove_current_element() functions to the binary_search_tree object. + +Non-Backwards Compatible Changes: + - I put an #error directive in the old GUI component to notify anyone + trying to use it that it is deprecated. I will be removing it from the + library in a few months. + - Switched the reference_counter object back to not using the memory_manager. + I realized it isn't safe for this object to use the memory_manager since + it could result in memory_managers freeing each other's allocations. + - I redefined the pixel_traits template. It is now a lot simpler and more + convenient. + +Bug fixes: + - Fixed a minor bug in dlib/rand/rand_kernel_2.cpp + +Other: + - Added some more compile time checks to the byte_orderer object. + - Changed some includes and preprocessor macros around a little so now + everything but the GUI stuff compiles in mac OS X. + - Added inclusion guards to all the .cpp files + - Added the all_gui.cpp and all_console.cpp files. They + include all the .cpp files you need to make gui and + console applications respectively into one file. + - Made more containers use the memory_manager. + +</old> + +<!-- ******************************************************************************* --> + +<old name="3" date="May 06, 2006"> +New Features: + - Added the enqueue_or_timeout() and dequeue_or_timeout() functions + to the pipe object. + - Gave the mouse_tracker the ability to display the mouse position + relative to a user selected point. + - Added the message_box() function to the gui_widgets component. + - Gave the label widget the ability to draw newlines in strings. + - added the close_window() and is_closed() methods to the base_window + object. + - Added the rsignaler extension to the threading API. + - You can now control the thread pool timeout time by setting the + DLIB_THREAD_POOL_TIMEOUT #define. + - Added the get_from_clipboard() and put_on_clipboard() functions + to the gui_core component. + - Added the stop_and_wait() function to the timer object. + - Added the trigger_user_event() function and on_user_event() event + to the base_window object. This new event is also forwarded + to drawable interfaces inside the receiving window. + - Added the wrap_around() function to the named_rectangle widget. + - Added the top(), left(), right(), bottom(), width() and height() + functions to the drawable interface. + +Non-Backwards Compatible Changes: + - Made the radio_button and check_box widgets pass references to themselves + when they call their click handlers. + - Switched the sync_extension to use the rmutex and rsignaler objects + rather than the normal non-reentrant ones. ( Chances are that old + code that used this will still compile fine anyway. ) + - Changed the return type of rand::get_random_number() to be an + unsigned char. I also changed both the implementations of + rand because they weren't very good at all. + - Changed the functions related to drawing strings in the font class. + - Changed the drawable's rectangle to default to being empty + rather than being a single point. Most code should not notice + the difference. + +Bug fixes: + - The event handlers in gui_widgets/drawable.h were private. They + should be protected. This is now fixed. + - Fixed a bug in the way the scroll_bar was drawn when it was + the HORIZONTAL type. + - Changed how the thread pool destructs itself when the program + is ending. Previously it was possible to get an error on + NetBSD when the program was ending. This is now fixed. + - The functions related to setting the jump size in the scroll_bar + widget were private. They are now public. + - There was a bug in the MS Windows version of the gui_core component + where the members of the base_window would not work if called from + within the on_window_close() event. This has now been fixed. + - Made the set_pos() function work right for the mouse_tracker widget. + - Fixed a bug in the base64 object where the string "" could potentially + be decoded incorrectly. + - Made the global swap function for crc32_kernel_1 inline. This fixes a + potential linker error. + - Fixed some potential deadlocking that could occur while using the + gui widgets. + +Other: + - I moved all the regression tests into the dlib/test folder and + made a nice driver program to run all of them. + - I have been using the sourceforge compile farms to test the library + on various platforms. It now works for Solaris and some of the BSDs + in addition to Linux and Windows. +</old> + + +<!-- ******************************************************************************* --> + + +<old name="2" date="Apr 08, 2006"> +New Features: + - Added the array_expand extension to the array object. + - Added the cmd_line_parser_check extension to the command line parser. + - Added the pipe object. + - All applicable container classes now use the memory_manager component for + their memory allocation. + - New implementations of the memory_manager object. + - Added the copy_functor class. + +Non-Backwards Compatible Changes: + - Moved the wrap_string, narrow, and string_cast functions + to a new file. You now have to include dlib/string.h to get + them. (This makes a bunch of other things work right in gcc 2.95) + - Renamed the _L macro to _dT + - Removed the scopy class + - Simplified the interface to the memory manager. It is basically the same + though. + - Removed the max_size() methods from the hash_table and binary_search_tree + objects. + - Removed the T_is_POD template arguments from the hash_table and + binary_search_tree objects. + - Simplified the template arguments to all checking components and extensions. + They now take the class they are to extend or check as their only template + argument. This only affects you if you haven't been using the kernel_nx + typedefs. + +Bug fixes: + +Other: + - I changed a few things around and now a majority of the library + again compiles under gcc 2.95. But some things don't and I currently + don't plan on making them work because it involves hackish workarounds + of 2.95's bugs. + - Changed the compress_stream_kernel_1 object so that it will detect data + corruptions better. This change will prevent it from correctly decompressing + data that was compressed with a previous version and has an uncompressed size + greater than about 20,000 bytes. + - There is a new cpp file you need to compile: dlib/error.cpp + - Moved all the regression testing stuff into the dlib/test folder and made + a nicer test driver to run them. +</old> + + +<!-- ******************************************************************************* --> + +<old name="1" date="Mar 19, 2006"> +New Features: + - Created the byte_orderer object. + - Created the mouse_tracker gui widget. + - The sliding_buffer object is now enumerable and serializable. + - Added the get_filesystem_roots() function to the dir_nar component. + - Added the create_directory() function to the misc_api component. + +Non-Backwards Compatible Changes: + - The ASSERT macro is now only enabled if DEBUG or ENABLE_ASSERTS + is defined. + +Bug fixes: + - Fixed a minor bug in the cmd_line_parser object. If you gave + an option such as --option=arg when option didn't take any + arguments it could hang your program. + - Fixed a bug in wait_or_timeout() in the posix version of the threading + api. The time to wait for was being calculated incorrectly and could + result in an excessive number of spurious returns. + - Fixed a minor bug in the on_keydown() event for windows. + I had it set such that the shift and ctrl bools would be false + if they were the actual keys being pressed. This isn't what the + specs say should happen but I had a comment in the windows code + that made it clear that I did it on purpose. Go figure :) + This is now fixed. + +Other: + - Improved the cpp_tokenizer object's ability to recognize numerical + constants. + - Improved the text_field gui widget. + - There are now two assert macros. One called ASSERT + and another CASSERT. They both do the same thing but ASSERT + is only enabled when DEBUG or ENABLE_ASSERTS is defined. + All the old ASSERT statements were changed to CASSERT statements. +</old> + +<!-- ******************************************************************************* --> + +<old name="2006-02-23.01"> +New Features: + - Added array_kernel_2 which is a simple layer on top of a C array. + - Added the tabbed_display GUI widget + - Added the widget_group GUI widget + - Added the named_rectangle GUI widget + - Added the pixel_traits template + +Non-Backwards Compatible Changes: + - The default maximum size for an array object is now 0 rather than + 20,000. +Bug fixes: + +Other: + - made the cpp_pretty_printer a little better about how it handles + C style code. Also added support for /*!A html_anchor_name !*/ + style comments. +</old> + +<!-- ******************************************************************************* --> + +<old name="2006-01-31.02"> +New Features: + - Created the array2d object. + - Created the base64 object. + - Created the pixel struct. + - Created the load_bmp() function which can load a BMP image file + into an array2d object of pixels. + - Created the drawable::draw_image() function + +Non-Backwards Compatible Changes: + - In the drawable interface I made the z order a long rather + than unsigned long. + - The cpp_tokenizer object now has a NUMBER token type. + - removed the get_ prefix from functions in the cmd_line_parser + and cmd_line_parser_option objects. Also changed the + cmd_line_parser_option::operator[] function to a normal member + function called argument(). + +Bug fixes: + +Other: + - cpp_pretty_printer now colors numeric literals a shade of yellow. +</old> + +<!-- ******************************************************************************* --> + +<old name="2006-01-15.03"> +New Features: + - Created the member_function_pointer object. + - Created the button_action object. + - Created the arrow_button object. + - Created the check_box object. + - Created the radio_button object. + - Created the scroll_bar object. + - More drawing functions to draw various things + onto a canvas object. + - Added enable/disable functions to the + drawable interface. + +Non-Backwards Compatible Changes: + - The gui widgets are no longer templated at the + class level. + - The drawable object's constructor now takes a + bit set rather than a bunch of bools to tell it + which events to enable. + - I changed the names of some of the functions in the + gui_widgets component so that they all reflected a + uniform naming style. + +Bug fixes: + - Fixed a minor bug in the cpp_tokenizer. + - Minor bug in the timer object. See change log for + details. + +Other: + - Made the timer object a little more robust +</old> + + +<!-- ******************************************************************************* --> + +</release_notes> + </body> +</doc> diff --git a/ml/dlib/docs/docs/right.gif b/ml/dlib/docs/docs/right.gif Binary files differnew file mode 100644 index 000000000..50e2637de --- /dev/null +++ b/ml/dlib/docs/docs/right.gif diff --git a/ml/dlib/docs/docs/stylesheet.xsl b/ml/dlib/docs/docs/stylesheet.xsl new file mode 100644 index 000000000..19338feaa --- /dev/null +++ b/ml/dlib/docs/docs/stylesheet.xsl @@ -0,0 +1,1201 @@ +<?xml version="1.0" encoding="utf8" ?> + +<!-- + To the extent possible under law, Davis E King has waived all copyright and + related or neighboring rights to dlib documentation (XML, HTML, and XSLT files). + This work is published from United States. +--> + + <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" + xmlns:gcse="googleCustomSearch"> + <xsl:output method='html' version='1.0' encoding='UTF-8' indent='no' /> + <xsl:strip-space elements="*" /> + <xsl:preserve-space elements="pre code_box preserve_space" /> + + + <!-- ************************************************************************* --> + + <xsl:variable name="is_chm">true</xsl:variable> + <xsl:variable name="main_menu">main_menu.xml</xsl:variable> + <xsl:variable name="project_name">dlib C++ Library</xsl:variable> + + <!-- ************************************************************************* --> + + <!-- This is the ID you get from Google Webmaster Tools --> + <xsl:variable name="google_verify_id">02MiiaFNVzS5/u0eQhsy3/knioFHsia1X3DXRpHkE6I=</xsl:variable> + <xsl:variable name="google_verify_id2">DGSSJMKDomaDaDTIRJ8jDkv0YMx9Cz7OESbXHjjr6Jw</xsl:variable> + + <!-- ************************************************************************* --> + + <xsl:variable name="last_modified_date_var">_LAST_MODIFIED_DATE_</xsl:variable> + <xsl:variable name="current_release_var">_CURRENT_RELEASE_</xsl:variable> + <xsl:template match="last_modified_date"><xsl:value-of select="$last_modified_date_var"/></xsl:template> + <xsl:template match="current_release"><xsl:value-of select="$current_release_var"/></xsl:template> + + <!-- ************************************************************************* --> + + <xsl:variable name="gray">#E3E3E3</xsl:variable> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <xsl:variable name="lcletters">abcdefghijklmnopqrstuvwxyz </xsl:variable> + <xsl:variable name="ucletters">ABCDEFGHIJKLMNOPQRSTUVWXYZ </xsl:variable> + <xsl:variable name="badletters">'?()<> /\&~!@#$%^*_+=-[]{}</xsl:variable> + + <!-- ************************************************************************* --> + + <xsl:template match="/doc"> + <html> + <head> + <link rel="shortcut icon" href="dlib-icon.ico"/> + <xsl:if test="$is_chm != 'true'"> + <meta property="og:image" content="http://dlib.net/dlib-logo-small.png"/> + </xsl:if> + + <!-- Verify with Google --> + <meta name="verify-v1" content="{$google_verify_id}" /> + <meta name="google-site-verification" content="{$google_verify_id2}" /> + <title> + <xsl:value-of select="$project_name"/> + <xsl:if test="title"> + - <xsl:value-of select="title" /> + </xsl:if> + </title> + + <script type="text/javascript" src="dlib.js"></script> + <link rel="stylesheet" type="text/css" href="dlib.css"/> + + <xsl:if test="$is_chm != 'true'"> + <script> <!-- Google Analytics --> + (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ + (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), + m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) + })(window,document,'script','//www.google-analytics.com/analytics.js','ga'); + + ga('create', 'UA-51919357-1', 'dlib.net'); + ga('send', 'pageview'); + </script> + </xsl:if> + </head> + + + + <body> + <a name="top" /> + <div id="page_header"> + <xsl:if test="$is_chm != 'true'"> + <div style="float:right;width:450px"> + <script> + (function() { + var cx = '017764538452368798135:fin3a18x_ns'; + var gcse = document.createElement('script'); + gcse.type = 'text/javascript'; + gcse.async = true; + gcse.src = (document.location.protocol == 'https:' ? 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href="#{translate(@text,$badletters,'')}"><xsl:value-of select="@text"/></a></li> + </xsl:for-each> + </ul> + </xsl:for-each> + </div> + </div> + + <!-- ************************************************************************* --> + <xsl:choose> + <xsl:when test="menu/@from_file"> + <div id="right_menu" class="menu"> + <xsl:apply-templates select="document(menu/@from_file)/doc/menu"> + <xsl:with-param name="file_name" select="concat(substring-before(menu/@from_file,'.'),'.html')" /> + </xsl:apply-templates> + </div> + </xsl:when> + <xsl:otherwise> + <xsl:if test="menu"> + <div id="right_menu" class="menu"> + <xsl:apply-templates select="menu"/> + </div> + </xsl:if> + </xsl:otherwise> + </xsl:choose> + <!-- ************************************************************************* --> + </div> + + <div id="bottom_content"> + <xsl:apply-templates select="components"/> + <xsl:apply-templates select="questions"/> + </div> + + </body> + </html> + </xsl:template> + + + + + + <!-- ************************************************************************* --> + + <xsl:template match="section"> + <xsl:param name="file_name" /> + <b><xsl:value-of select="name"/></b> + <ul class="tree"> + <xsl:if test="$is_chm = 'true'"> + <xsl:for-each select="item | chm/item"> + <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> + <xsl:apply-templates select="."> + <xsl:with-param name="file_name" select="$file_name" /> + </xsl:apply-templates> + </xsl:for-each> + </xsl:if> + <xsl:if test="$is_chm != 'true'"> + <xsl:for-each select="item | web/item"> + <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> + <xsl:apply-templates select="."> + <xsl:with-param name="file_name" select="$file_name" /> + </xsl:apply-templates> + </xsl:for-each> + </xsl:if> + </ul> + <br/> + </xsl:template> + + <xsl:template match="top"> + <xsl:param name="file_name" /> + <xsl:apply-templates> + <xsl:with-param name="file_name" select="$file_name" /> + </xsl:apply-templates> + </xsl:template> + + <xsl:template match="bottom"> + <xsl:param name="file_name" /> + <xsl:apply-templates> + <xsl:with-param name="file_name" select="$file_name" /> + </xsl:apply-templates> + </xsl:template> + + <xsl:template match="download_button"> + <xsl:variable name="linktext"><xsl:apply-templates select="link"/></xsl:variable> + <a href="{$linktext}" id="download_button" class="menu"><xsl:apply-templates select="name"/></a> + </xsl:template> + + + <xsl:template match="menu"> + <xsl:param name="file_name" /> + <div class="menu_top"> + <xsl:apply-templates select="top"> + <xsl:with-param name="file_name" select="$file_name" /> + </xsl:apply-templates> + </div> + <div class="menu_footer"> + <xsl:apply-templates select="bottom"> + <xsl:with-param name="file_name" select="$file_name" /> + </xsl:apply-templates> + </div> + </xsl:template> + + <xsl:template match="item"> + <xsl:param name="file_name" /> + <li> + <xsl:choose> + <xsl:when test="@nolink = 'true'"> + <xsl:choose> + <xsl:when test="name"> + <a onclick="Toggle(this)" class="sub menu"><img src="plus.gif"/><xsl:value-of select="name"/></a> + <xsl:apply-templates select="sub"> + <xsl:with-param name="file_name" select="$file_name" /> + </xsl:apply-templates> + </xsl:when> + <xsl:otherwise> + <xsl:apply-templates> + <xsl:with-param name="file_name" select="$file_name" /> + </xsl:apply-templates> + </xsl:otherwise> + </xsl:choose> + </xsl:when> + <xsl:when test="name"> + <xsl:choose> + <xsl:when test="sub"> + <xsl:choose> + <xsl:when test="link"> + <xsl:variable name="linktext"><xsl:apply-templates select="link"/></xsl:variable> + <a href="{$linktext}" style="float:right"><img src="right.gif" border="0"/></a> + <a onclick="Toggle(this)" class="sub menu"><img src="plus.gif" border="0"/><xsl:value-of select="name"/></a> + <xsl:apply-templates select="sub"> + <xsl:with-param name="file_name" select="$file_name" /> + </xsl:apply-templates> + </xsl:when> + <xsl:otherwise> + <a href="{$file_name}#{name}" style="float:right"><img src="down.gif" border="0" /></a> + <a onclick="Toggle(this)" class="sub menu"><img src="plus.gif" border="0"/><xsl:value-of select="name"/></a> + <xsl:apply-templates select="sub"> + <xsl:with-param name="file_name" select="$file_name" /> + </xsl:apply-templates> + </xsl:otherwise> + </xsl:choose> + </xsl:when> + <xsl:otherwise> + <xsl:choose> + <xsl:when test="link"> + <xsl:variable name="linktext"><xsl:apply-templates select="link"/></xsl:variable> + <a href="{$linktext}" class="menu"><xsl:value-of select="name"/></a> + </xsl:when> + <xsl:otherwise> + <a href="{$file_name}#{name}" class="menu"><xsl:value-of select="name"/></a> + </xsl:otherwise> + </xsl:choose> + </xsl:otherwise> + </xsl:choose> + </xsl:when> + <xsl:otherwise> + <a href="{$file_name}#{.}" class="menu"><xsl:value-of select="."/></a> + </xsl:otherwise> + </xsl:choose> + </li> + </xsl:template> + + <xsl:template match="sub"> + <xsl:param name="file_name" /> + <ul style="display:none;"> + <xsl:for-each select="item"> + <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> + <xsl:apply-templates select="."> + <xsl:with-param name="file_name" select="$file_name" /> + </xsl:apply-templates> + </xsl:for-each> + </ul> + </xsl:template> + + + <!-- ************************************************************************* --> + + <xsl:template match="questions"> + + <xsl:for-each select="question"> + <xsl:sort select="translate(@text,$lcletters, $ucletters)"/> + + <a name = "{@text}"/> + <a name = "{translate(@text,$badletters,'')}"> + <div class="question"> + <a href="#top"><font size='2'><center>[top]</center></font></a> + <h2><xsl:value-of select="@text"/></h2> + <xsl:apply-templates select="."/> + </div> + </a> + </xsl:for-each> + </xsl:template> + + <!-- ************************************************************************* --> + + <xsl:template match="components"> + + <xsl:for-each select="component"> + <xsl:sort select="translate(name,$lcletters, $ucletters)"/> + <xsl:variable name="checked" select="@checked"/> + + <a name = "{name}"/> + <div class="component" > + + <a href="#top"><font size='2'><center>[top]</center></font></a> + <h1 style="margin:0px;"><xsl:value-of select="name"/> + </h1> + <BR/> + <BR/> + <xsl:apply-templates select="description"/> + + <BR/> + <xsl:apply-templates select="examples"/> + <div class='include_file_more_details_wrapper'> + <xsl:if test="spec_file"> + <xsl:choose> + <xsl:when test="spec_file/@link = 'true'"> + <a class='more_details' href="{spec_file}.html#{name}">More Details...</a> + </xsl:when> + <xsl:otherwise> + <a class='more_details' href="{spec_file}.html">More Details...</a> + </xsl:otherwise> + </xsl:choose> + </xsl:if> + <xsl:if test="file"> + <div class='include_file'>#include <<xsl:value-of select="file"/>></div> + </xsl:if> + </div> + + <xsl:apply-templates select="implementations"> + <xsl:with-param name="checked" select="$checked" /> + </xsl:apply-templates> + + + <xsl:if test="extensions"> + <br/> + <center> + <h1>Extensions to <xsl:value-of select="name"/></h1> + </center> + + <xsl:for-each select="extensions/extension"> + <xsl:sort select="translate(name,$lcletters, $ucletters)"/> + <div class="extension"> + <a name="{name}"><B><font size='5'><xsl:value-of select="name"/></font></B></a><Br/> + <BR/> + <xsl:apply-templates select="description"/> + <BR/> + <BR/> + <xsl:apply-templates select="examples"/> + <xsl:choose> + <xsl:when test="spec_file/@link = 'true'"> + <a class='more_details_extension' href="{spec_file}.html#{name}">More Details...</a> + </xsl:when> + <xsl:otherwise> + <a class='more_details_extension' href="{spec_file}.html">More Details...</a> + </xsl:otherwise> + </xsl:choose> + + + <xsl:apply-templates select="implementations"> + <xsl:with-param name="checked" select="$checked" /> + </xsl:apply-templates> + </div> + </xsl:for-each> + </xsl:if> + + </div> + </xsl:for-each> + </xsl:template> + + <!-- This template outputs a length 1 string if there is a python example program --> + <xsl:template name="has_python_example"> + <xsl:for-each select="example"> + <xsl:if test="substring-before(.,'.py.html') != ''">1</xsl:if> + </xsl:for-each> + </xsl:template> + <!-- This template outputs a length 1 string if there is a C++ example program --> + <xsl:template name="has_cpp_example"> + <xsl:for-each select="example"> + <xsl:if test="substring-before(.,'.cpp.html') != ''">1</xsl:if> + </xsl:for-each> + </xsl:template> + + <xsl:template match="examples"> + <xsl:variable name="has_python"><xsl:call-template name="has_python_example"/></xsl:variable> + <xsl:variable name="has_cpp"><xsl:call-template name="has_cpp_example"/></xsl:variable> + <xsl:variable name="numpy" select="string-length($has_python)"/> + <xsl:variable name="numcpp" select="string-length($has_cpp)"/> + + <xsl:if test="$numcpp != 0"> <BR/>C++ Example Programs: </xsl:if> + <xsl:for-each select="example"> + <xsl:variable name="fname" select="substring-before(.,'.cpp.html')"/> + <xsl:variable name="name" select="substring-before(.,'.html')"/> + <xsl:if test="$fname != ''"> + <xsl:choose> + <xsl:when test="position() >= last()-$numpy"> + <a href="{.}"><xsl:value-of select="$name"/></a> + </xsl:when> + <xsl:otherwise> + <a href="{.}"><xsl:value-of select="$name"/></a>, + </xsl:otherwise> + </xsl:choose> + </xsl:if> + </xsl:for-each> + + <xsl:if test="$numpy != 0"> <BR/>Python Example Programs: </xsl:if> + <xsl:for-each select="example"> + <xsl:variable name="fname" select="substring-before(.,'.py.html')"/> + <xsl:variable name="name" select="substring-before(.,'.html')"/> + <xsl:if test="$fname != ''"> + <xsl:choose> + <xsl:when test="position() >= last()"> + <a href="{.}"><xsl:value-of select="$name"/></a> + </xsl:when> + <xsl:otherwise> + <a href="{.}"><xsl:value-of select="$name"/></a>, + </xsl:otherwise> + </xsl:choose> + </xsl:if> + </xsl:for-each> + </xsl:template> + + <xsl:template match="implementations"> + <xsl:param name="checked" /> + <BR/><BR/><B>Implementations:</B> + + <xsl:choose> + <xsl:when test="implementation/typedefs"> + <xsl:for-each select="implementation"> + <blockquote> + <a href="{file}.html"><xsl:value-of select="name"/></a>: + <xsl:if test="typedefs"><br/></xsl:if> + <xsl:apply-templates select="description"/> + <xsl:apply-templates select="typedefs"> + <xsl:with-param name="checked" select="$checked"/> + </xsl:apply-templates> + </blockquote> + </xsl:for-each> + </xsl:when> + <xsl:otherwise> + <blockquote> + <xsl:for-each select="implementation"> + <a href="{file}.html"><xsl:value-of select="name"/></a>: + <xsl:apply-templates select="description"/> + <br/> + </xsl:for-each> + </blockquote> + </xsl:otherwise> + </xsl:choose> + </xsl:template> + + <xsl:template match="typedefs"> + <xsl:param name="checked" /> + + + <div class="typedefs"><table CELLSPACING='0' CELLPADDING='0' bgcolor="white" > + <xsl:for-each select="typedef"> + + <xsl:choose> + <xsl:when test="$checked = 'true'"> + <tr><td bgcolor="{$gray}" valign="top"> + <div class="tdn"><xsl:value-of select="name"/></div> + </td><td width="100%" bgcolor="{$gray}"> + <xsl:apply-templates select="description"/> + </td></tr> + + <tr><td valign="top"> + <div class="tdn"><xsl:value-of select="name"/>_c</div> + </td><td width="100%"> + is a typedef for <xsl:value-of select="name"/> that checks its preconditions. + </td></tr> + </xsl:when> + <xsl:otherwise> + <xsl:choose> + <xsl:when test="position() mod 2 = 0"> + <tr><td valign="top"> + <div class="tdn"><xsl:value-of select="name"/></div> + </td><td width="100%"> + <xsl:apply-templates select="description"/> + </td></tr> + </xsl:when> + <xsl:otherwise> + <tr><td bgcolor="{$gray}" valign="top"> + <div class="tdn"><xsl:value-of select="name"/></div> + </td><td width="100%" bgcolor="{$gray}"> + <xsl:apply-templates select="description"/> + </td></tr> + </xsl:otherwise> + </xsl:choose> + </xsl:otherwise> + </xsl:choose> + </xsl:for-each> + </table></div> + </xsl:template> + + <!-- ************************************************************************* --> + + <xsl:template match="release_notes"> + <h1 style="margin:0px;">Release <xsl:value-of select="$current_release_var"/></h1> + <u>Release date</u>: <xsl:value-of select="$last_modified_date_var"/> + <br/> + <u>Major Changes in this Release</u>: + <table cellspacing="5" cellpadding="0" width="100%"> + <tr> + <td width="15"></td> + <td><pre><xsl:value-of select="current"/></pre></td> + </tr> + </table> + + <xsl:for-each select="old"> + <xsl:if test="position() < 10"> + <hr/> + <h1 style="margin:0px;">Release <xsl:value-of select="@name"/></h1> + <xsl:if test="@date"> + <u>Release date</u>: <xsl:value-of select="@date"/> + </xsl:if> + <br/> + <u>Major Changes in this Release</u>: + <table cellspacing="5" cellpadding="0" width="100%"> + <tr> + <td width="15"></td> + <td><pre><xsl:value-of select="."/></pre></td> + </tr> + </table> + </xsl:if> + </xsl:for-each> + <br/> + <br/> + <br/> + <center><a href="old_release_notes.html">Old Release Notes</a></center> + <br/> + + </xsl:template> + + <!-- ************************************************************************* --> + + <xsl:template match="old_release_notes"> + <xsl:for-each select="document('release_notes.xml')/doc/body/release_notes/old"> + <xsl:if test="position() >= 10"> + <h1 style="margin:0px;">Release <xsl:value-of select="@name"/></h1> + <xsl:if test="@date"> + <u>Release date</u>: <xsl:value-of select="@date"/> + </xsl:if> + <br/> + <u>Major Changes in this Release</u>: + <table cellspacing="5" cellpadding="0" width="100%"> + <tr> + <td width="15"></td> + <td><pre><xsl:value-of select="."/></pre></td> + </tr> + </table> + <xsl:if test="position() != last()"> + <hr/> + </xsl:if> + </xsl:if> + </xsl:for-each> + </xsl:template> + + <!-- ************************************************************************* --> + + <xsl:template match="description"> + <xsl:apply-templates/> + </xsl:template> + + <xsl:template match="body"> + <xsl:choose> + <xsl:when test="@from_file"> + <xsl:apply-templates select="document(@from_file)"/> + <xsl:apply-templates/> + </xsl:when> + <xsl:otherwise> + <xsl:apply-templates/> + </xsl:otherwise> + </xsl:choose> + </xsl:template> + + <xsl:template match="text"> + <br/> + <pre><xsl:apply-templates/></pre> + </xsl:template> + + + <xsl:template match="h3"> + <a name="{.}"/> + <h3> + <xsl:apply-templates/> + </h3> + </xsl:template> + + <xsl:template match="h2"> + <a name="{.}"/> + <h2> + <xsl:apply-templates/> + </h2> + </xsl:template> + + <xsl:template match="h1"> + <a name="{.}"/> + <h1> + <xsl:apply-templates/> + </h1> + </xsl:template> + + <xsl:template match="preserve_space"> + <xsl:apply-templates/> + </xsl:template> + + <xsl:template match="p"> + <p> + <xsl:apply-templates/> + </p> + </xsl:template> + <xsl:template match="center"> + <center> + <xsl:apply-templates/> + </center> + </xsl:template> + <xsl:template match="pre"> + <pre> + <xsl:apply-templates/> + </pre> + </xsl:template> + <xsl:template match="blockquote"> + <blockquote> + <xsl:apply-templates/> + </blockquote> + </xsl:template> + <xsl:template match="anchor"> + <a name="{.}"/> + </xsl:template> + <xsl:template match="br"> + <br/> + <xsl:apply-templates/> + </xsl:template> + + <xsl:template match="youtube"> + <iframe width="900" height="506" src="{@src}" frameborder="0" allowfullscreen='1'></iframe> + </xsl:template> + + <xsl:template match="a"> + <a href="{@href}"> + <xsl:apply-templates/> + </a> + </xsl:template> + <xsl:template match="script"> + <script type="{@type}" language="{@language}" src="{@src}"> + <xsl:apply-templates/> + </script> + </xsl:template> + <xsl:template match="tt"> + <tt> + <xsl:apply-templates/> + </tt> + </xsl:template> + <xsl:template match="chm"> + <xsl:if test="$is_chm = 'true'"> + <xsl:apply-templates/> + </xsl:if> + </xsl:template> + <xsl:template match="web"> + <xsl:if test="$is_chm != 'true'"> + <xsl:apply-templates/> + </xsl:if> + </xsl:template> + <xsl:template match="td"> + <xsl:if test="@colspan"> + <td align="center" colspan="{@colspan}"> + <xsl:apply-templates/> + </td> + </xsl:if> + <xsl:if test="not(@colspan)"> + <td align="center"> + <xsl:apply-templates/> + </td> + </xsl:if> + </xsl:template> + <xsl:template match="tr"> + <tr> + <xsl:apply-templates/> + </tr> + </xsl:template> + <xsl:template match="table"> + <table> + <xsl:apply-templates/> + </table> + </xsl:template> + <xsl:template match="more_details"> + <a style="float:none" class='more_details'>More Details...</a> + </xsl:template> + <xsl:template match="div"> + <div id="{@id}"><xsl:apply-templates/></div> + </xsl:template> + <xsl:template match="li"> + <li> + <xsl:apply-templates/> + </li> + </xsl:template> + <xsl:template match="ul"> + <xsl:if test="@style"> + <ul style="{@style}"> + <xsl:apply-templates/> + </ul> + </xsl:if> + <xsl:if test="not(@style)"> + <ul> + <xsl:apply-templates/> + </ul> + </xsl:if> + </xsl:template> + <xsl:template match="ol"> + <ol> + <xsl:apply-templates/> + </ol> + </xsl:template> + <xsl:template match="u"> + <u> + <xsl:apply-templates/> + </u> + </xsl:template> + <xsl:template match="i"> + <i> + <xsl:apply-templates/> + </i> + </xsl:template> + <xsl:template match="b"> + <b> + <xsl:apply-templates/> + </b> + </xsl:template> + <xsl:template match="U"> + <u> + <xsl:apply-templates/> + </u> + </xsl:template> + <xsl:template match="I"> + <i> + <xsl:apply-templates/> + </i> + </xsl:template> + <xsl:template match="B"> + <b> + <xsl:apply-templates/> + </b> + </xsl:template> + <xsl:template match="font"> + <xsl:if test="@style"> + <font color="{@color}" style="{@style}"> + <xsl:apply-templates/> + </font> + </xsl:if> + <xsl:if test="not(@style)"> + <font color="{@color}"> + <xsl:apply-templates/> + </font> + </xsl:if> + </xsl:template> + <xsl:template match="image"> + <img src="{@src}" border="0"/> + </xsl:template> + <xsl:template match="img"> + <img src="{@src}" border="0" height="{@height}" width="{@width}" alt="{@alt}"> + <xsl:apply-templates/> + </img> + </xsl:template> + <xsl:template match="video"> + <video controls="true" poster="{@src}.png"> + <source src="{@src}.webm" type="video/webm"/> + <source src="{@src}.mp4" type="video/mp4"/> + <xsl:apply-templates/> + </video> + </xsl:template> + + <xsl:template name="term_list_go"> + <xsl:param name="num"/> + <xsl:if test="$num < 27"> + <xsl:variable name="cur_letter" select="substring($ucletters, $num, 1)"/> + + <div style="padding:1em"> + <div style="display: inline-block;width:100% "> + <a name="{$cur_letter}"/> + + <h1><xsl:value-of select="$cur_letter"/></h1> + <xsl:for-each select="term"> + <xsl:sort order="ascending" select="translate(@name,$lcletters, $ucletters)"/> + <xsl:variable name="alt" select="1+(position() mod 2)"/> + <xsl:variable name="line" select="concat('line',format-number($alt,'0'))"/> + <xsl:if test="$cur_letter = substring(translate(@name,$lcletters, $ucletters),1,1)"> + <xsl:choose> + <xsl:when test="@link"> + <div class='{$line}'><div class='name'><a href="{@link}"><xsl:value-of select="@name"/></a></div> + <div class='inc'><xsl:if test='@include'><b>#include <<xsl:value-of select="@include"/>></b></xsl:if></div> + </div> + </xsl:when> + <xsl:when test="@file"> + <div class='{$line}'><div class='name'><a href="{@file}#{@name}"><xsl:value-of select="@name"/></a></div> + <div class='inc'><xsl:if test='@include'><b>#include <<xsl:value-of select="@include"/>></b></xsl:if></div> + </div> + </xsl:when> + <xsl:otherwise> + <xsl:value-of select="@name"/> + <div style="padding-left: 50px;"> + <xsl:for-each select="term"> + <xsl:sort order="ascending" select="translate(@name,$lcletters, $ucletters)"/> + <xsl:variable name="alt2" select="1+(($alt+position()) mod 2)"/> + <xsl:variable name="line2" select="concat('line',format-number($alt2,'0'))"/> + <div class='{$line2}'><div class='name'><a href="{@link}"><xsl:value-of select="@name"/></a></div> + <div class='inc'><xsl:if test='@include'><b>#include <<xsl:value-of select="@include"/>></b></xsl:if></div> + </div> + </xsl:for-each> + </div> + </xsl:otherwise> + </xsl:choose> + </xsl:if> + </xsl:for-each> + </div> + </div> + + <xsl:call-template name="term_list_go" > + <xsl:with-param name="num" select="$num + 1"/> + </xsl:call-template> + + </xsl:if> + </xsl:template> + + + <xsl:template match="term_list"> + <center> + <div style="font-size:1.2em"> + <a href="#A">[A]</a> + <a href="#B">[B]</a> + <a href="#C">[C]</a> + <a href="#D">[D]</a> + <a href="#E">[E]</a> + <a href="#F">[F]</a> + <a href="#G">[G]</a> + <a href="#H">[H]</a> + <a href="#I">[I]</a> + <a href="#J">[J]</a> + <a href="#K">[K]</a> + <a href="#L">[L]</a> + <a href="#M">[M]</a> + <a href="#N">[N]</a> + <a href="#O">[O]</a> + <a href="#P">[P]</a> + <a href="#Q">[Q]</a> + <a href="#R">[R]</a> + <a href="#S">[S]</a> + <a href="#T">[T]</a> + <a href="#U">[U]</a> + <a href="#V">[V]</a> + <a href="#W">[W]</a> + <a href="#X">[X]</a> + <a href="#Y">[Y]</a> + <a href="#Z">[Z]</a> + </div> + </center> + <xsl:call-template name="term_list_go" > + <xsl:with-param name="num" select="1"/> + </xsl:call-template> + </xsl:template> + + + + <!-- This function turns a string of the form 2006-03-21T02:35:20+00:00 into a nice + normal looking date --> + <xsl:template name="format-date"> + <xsl:param name="xsd-date"/> + <xsl:variable name="date" select="substring-before($xsd-date,'T')"/> + <xsl:variable name="time" select="substring-after($xsd-date,'T')"/> + + <xsl:variable name="year" select="substring($date,1,4)"/> + <xsl:variable name="month" select="substring($date,6,2)"/> + <xsl:variable name="day" select="substring($date,9,2)"/> + <xsl:variable name="lhour" select="substring($time,1,2)"/> + <xsl:variable name="lminute" select="substring($time,4,2)"/> + <xsl:variable name="second" select="substring($time,7,2)"/> + + <xsl:variable name="ohour" select="substring($time,10,2)"/> + <xsl:variable name="ominute" select="substring($time,13,2)"/> + + + <xsl:choose> + <xsl:when test="$month = 1">Jan </xsl:when> + <xsl:when test="$month = 2">Feb </xsl:when> + <xsl:when test="$month = 3">Mar </xsl:when> + <xsl:when test="$month = 4">Apr </xsl:when> + <xsl:when test="$month = 5">May </xsl:when> + <xsl:when test="$month = 6">Jun </xsl:when> + <xsl:when test="$month = 7">Jul </xsl:when> + <xsl:when test="$month = 8">Aug </xsl:when> + <xsl:when test="$month = 9">Sep </xsl:when> + <xsl:when test="$month = 10">Oct </xsl:when> + <xsl:when test="$month = 11">Nov </xsl:when> + <xsl:when test="$month = 12">Dec </xsl:when> + </xsl:choose> + + <xsl:variable name="op" select="substring($time,9,1)"/> + <xsl:if test="$op = '-'"> + <xsl:variable name="hour" select="format-number(number($lhour)-number($ohour),'00')"/> + <xsl:variable name="minute" select="format-number(number($lminute)-number($ominute),'00')"/> + <xsl:value-of select="$day"/>, <xsl:value-of select="$year"/> + (<xsl:value-of select="$hour"/>:<xsl:value-of select="$minute"/>:<xsl:value-of select="$second"/> UTC) + </xsl:if> + <xsl:if test="$op = '+'"> + <xsl:variable name="hour" select="format-number(number($lhour)+number($ohour),'00')"/> + <xsl:variable name="minute" select="format-number(number($lminute)+number($ominute),'00')"/> + <xsl:value-of select="$day"/>, <xsl:value-of select="$year"/> + (<xsl:value-of select="$hour"/>:<xsl:value-of select="$minute"/>:<xsl:value-of select="$second"/> UTC) + </xsl:if> + + </xsl:template> + + + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ******* Subversion stylesheet stuff ******************** --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + + + <!-- ************************************************************************* --> + + + <xsl:template match="log"> + <xsl:for-each select="logentry"> + <xsl:sort order="descending" data-type="number" select="./@revision"/> + <u>Revision</u>: <xsl:value-of select="substring(@node,1,16)"/> <br/> + <u>Author</u>: <a href="mailto:{author/@email}"><xsl:value-of select="author"/></a> <br/> + <u>Date</u>: <xsl:call-template name="format-date"><xsl:with-param name="xsd-date" select="date"/></xsl:call-template> <br/> + <xsl:apply-templates select="msg"/> + <xsl:apply-templates select="paths"/> + <hr class="fullhr"/> + </xsl:for-each> + </xsl:template> + + + + + + <!-- ************************************************************************* --> + + <xsl:template name="paths"> + <xsl:param name="type"/> + <xsl:param name="name"/> + <xsl:param name="color"/> + + <xsl:if test="path[@action=$type]"> + + <div class="logb"> + <div class="bsolid"><b><font color="{$color}"><xsl:value-of select="$name"/></font></b></div> + <xsl:for-each select="path[@action = $type]"> + <xsl:sort select="."/> + <xsl:choose> + <xsl:when test="position() mod 2 = 0"> + <div class="row1"><xsl:value-of select="."/></div> + </xsl:when> + <xsl:otherwise> + <div class="row2"><xsl:value-of select="."/></div> + </xsl:otherwise> + </xsl:choose> + </xsl:for-each> + </div> + </xsl:if> + </xsl:template> + + <!-- ************************************************************************* --> + <xsl:template match="paths"> + <xsl:call-template name="paths"> + <xsl:with-param name="type">M</xsl:with-param> + <xsl:with-param name="name">Modified</xsl:with-param> + <xsl:with-param name="color">black</xsl:with-param> + </xsl:call-template> + <xsl:call-template name="paths"> + <xsl:with-param name="type">A</xsl:with-param> + <xsl:with-param name="name">Added</xsl:with-param> + <xsl:with-param name="color">blue</xsl:with-param> + </xsl:call-template> + <xsl:call-template name="paths"> + <xsl:with-param name="type">D</xsl:with-param> + <xsl:with-param name="name">Deleted</xsl:with-param> + <xsl:with-param name="color">red</xsl:with-param> + </xsl:call-template> + <xsl:call-template name="paths"> + <xsl:with-param name="type">R</xsl:with-param> + <xsl:with-param name="name">Deleted</xsl:with-param> + <xsl:with-param name="color">red</xsl:with-param> + </xsl:call-template> + </xsl:template> + + <xsl:template match="msg"> + <p style="margin:0.4em"><xsl:value-of select="."/></p> + </xsl:template> + + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- XSLT for dealing with <code> blocks generated by the htmlify to-xml option --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + <xsl:template match="code"> + + <h1>Classes and Structs:</h1> + <xsl:for-each select="classes/class"> + <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> + <xsl:apply-templates select="."/> + </xsl:for-each> + + <h1>Global Functions:</h1> + <xsl:for-each select="global_functions/function"> + <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> + <div class="function"> + <a onclick="Toggle(this)" style="cursor: pointer"><img src="plus.gif" border="0"/><font color="blue"> + <u><b><xsl:value-of select="name"/>()</b></u></font></a> + <div style="display:none;"> + <br/> + <xsl:if test="scope != ''"> + <u>Scope</u>: <xsl:value-of select="scope"/> <br/> + </xsl:if> + <u>File</u>: <xsl:value-of select="file"/> <br/><br/> + <div style="margin-left:1.5em"> + <pre style="font-size:1.1em;"><xsl:value-of select="declaration"/>;</pre> + <font color="#009900"><pre><xsl:value-of select="comment"/></pre></font> + </div> + <br/> + </div> + </div> + </xsl:for-each> + + </xsl:template> + + <!-- ************************************************************************* --> + + <xsl:template match="class"> + <div class="class"> + <a onclick="Toggle(this)" style="cursor: pointer"><img src="plus.gif" border="0"/><font color="blue"> + <u><b><xsl:value-of select="name"/></b></u></font></a> + <div style="display:none;"> + <br/> + <xsl:if test="scope != ''"> + <u>Scope</u>: <xsl:value-of select="scope"/> <br/> + </xsl:if> + <u>File</u>: <xsl:value-of select="file"/> <br/><br/> + <div style="margin-left:1.5em"> + <pre style="font-size:1.1em;"><xsl:value-of select="declaration"/>;</pre> <br/> + <font color="#009900"><pre><xsl:value-of select="comment"/></pre></font> <br/> + </div> + + <xsl:if test="protected_typedefs"> + <a onclick="BigToggle(this)" style="cursor: pointer"><img src="bigplus.gif" border="0"/><font color="blue"> + <u style="font-size:2em">Protected Typedefs</u></font></a> + <div style="display:none;"> + <ul> + <xsl:for-each select="protected_typedefs/typedef"> + <li><xsl:value-of select="."/>;</li> + </xsl:for-each> + </ul> + </div> + <br/> + </xsl:if> + + <xsl:if test="public_typedefs"> + <a onclick="BigToggle(this)" style="cursor: pointer"><img src="bigplus.gif" border="0" style="size:2em"/><font color="blue"> + <u style="font-size:2em">Public Typedefs</u></font></a> + <div style="display:none;"> + <ul> + <xsl:for-each select="public_typedefs/typedef"> + <li><xsl:value-of select="."/>;</li> + </xsl:for-each> + </ul> + </div> + <br/> + </xsl:if> + + <xsl:if test="protected_variables"> + <a onclick="BigToggle(this)" style="cursor: pointer"><img src="bigplus.gif" border="0"/><font color="blue"> + <u style="font-size:2em">Protected Variables</u></font></a> + <div style="display:none;"> + <ul> + <xsl:for-each select="protected_variables/variable"> + <li><xsl:value-of select="."/>;</li> + </xsl:for-each> + </ul> + </div> + <br/> + </xsl:if> + + <xsl:if test="public_variables"> + <a onclick="BigToggle(this)" style="cursor: pointer"><img src="bigplus.gif" border="0"/><font color="blue"> + <u style="font-size:2em">Public Variables</u></font></a> + <div style="display:none;"> + <ul> + <xsl:for-each select="public_variables/variable"> + <li><xsl:value-of select="."/>;</li> + </xsl:for-each> + </ul> + </div> + <br/> + </xsl:if> + + <xsl:if test="protected_methods"> + <a onclick="BigToggle(this)" style="cursor: pointer"><img src="bigplus.gif" border="0"/><font color="blue"> + <u style="font-size:2em">Protected Methods</u></font></a> + <div style="display:none;"> + <xsl:for-each select="protected_methods/method"> + <div class="function"> + <u>Method Name</u>: <b><xsl:value-of select="name"/></b> <br/><br/> + <div style="margin-left:1.5em"> + <pre style="font-size:1.1em;"><xsl:value-of select="declaration"/>;</pre> + <font color="#009900"><pre><xsl:value-of select="comment"/></pre></font> <br/> + </div> + </div> + </xsl:for-each> + </div> + <br/> + </xsl:if> + + <xsl:if test="public_methods"> + <a onclick="BigToggle(this)" style="cursor: pointer"><img src="bigplus.gif" border="0"/><font color="blue"> + <u style="font-size:2em">Public Methods</u></font></a> + <div style="display:none;"> + <xsl:for-each select="public_methods/method"> + <div class="function"> + <u>Method Name</u>: <b><xsl:value-of select="name"/></b> <br/><br/> + <div style="margin-left:1.5em"> + <pre style="font-size:1.1em;"><xsl:value-of select="declaration"/>;</pre> + <font color="#009900"><pre><xsl:value-of select="comment"/></pre></font> <br/> + </div> + </div> + </xsl:for-each> + </div> + <br/> + </xsl:if> + + <xsl:if test="protected_inner_classes"> + <a onclick="BigToggle(this)" style="cursor: pointer"><img src="bigplus.gif" border="0"/><font color="blue"> + <u style="font-size:2em">Protected Inner Classes</u></font></a> + <div style="display:none;"> + <xsl:for-each select="protected_inner_classes/class"> + <xsl:apply-templates select="."/> + </xsl:for-each> + </div> + <br/> + </xsl:if> + + <xsl:if test="public_inner_classes"> + <a onclick="BigToggle(this)" style="cursor: pointer"><img src="bigplus.gif" border="0"/><font color="blue"> + <u style="font-size:2em">Public Inner Classes</u></font></a> + <div style="display:none;"> + <xsl:for-each select="public_inner_classes/class"> + <xsl:apply-templates select="."/> + </xsl:for-each> + </div> + <br/> + </xsl:if> + + </div> + </div> + </xsl:template> + + <!-- ************************************************************************* --> + + <xsl:template match="code_box"> + <pre class="code_box"><xsl:apply-templates/></pre> + </xsl:template> + + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + <!-- ************************************************************************* --> + + + + +</xsl:stylesheet> diff --git a/ml/dlib/docs/docs/term_index.xml b/ml/dlib/docs/docs/term_index.xml new file mode 100644 index 000000000..f3a0f08ef --- /dev/null +++ b/ml/dlib/docs/docs/term_index.xml @@ -0,0 +1,1801 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<?xml-stylesheet type="text/xsl" href="stylesheet.xsl"?> + +<doc> + <title>Index</title> + + <!-- ************************************************************************* --> + + <body> + <term_list> + + <term file="algorithms.html" name="integrate_function_adapt_simp" include="dlib/numerical_integration.h"/> + + <term file="algorithms.html" name="numeric_constants" include="dlib/numeric_constants.h"/> + <term link="dlib/numeric_constants.h.html" name="pi" include="dlib/numeric_constants.h"/> + <term link="dlib/numeric_constants.h.html" name="e" include="dlib/numeric_constants.h"/> + <term link="dlib/numeric_constants.h.html" name="sqrt_2" include="dlib/numeric_constants.h"/> + <term link="dlib/numeric_constants.h.html" name="sqrt_3" include="dlib/numeric_constants.h"/> + <term 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file="dlib/revision.h.html" name="DLIB_MAJOR_VERSION" include="dlib/revision.h"/> + <term file="dlib/revision.h.html" name="DLIB_MINOR_VERSION" include="dlib/revision.h"/> + + + + <term file="dlib/algs.h.html" name="stack_based_memory_block" include="dlib/algs.h"/> + <term file="dlib/dnn/utilities_abstract.h.html" name="net_to_xml" include="dlib/dnn.h"/> + <term file="dlib/dnn/utilities_abstract.h.html" name="log1pexp" include="dlib/dnn.h"/> + <term file="dlib/dnn/utilities_abstract.h.html" name="randomize_parameters" include="dlib/dnn.h"/> + <term file="dlib/dnn/utilities_abstract.h.html" name="input_tensor_to_output_tensor" include="dlib/dnn.h"/> + <term file="dlib/dnn/utilities_abstract.h.html" name="output_tensor_to_input_tensor" include="dlib/dnn.h"/> + <term file="dlib/dnn/core_abstract.h.html" name="tuple_head" include="dlib/dnn.h"/> + <term file="dlib/dnn/core_abstract.h.html" name="tuple_tail" include="dlib/dnn.h"/> + <term file="dlib/dnn/core_abstract.h.html" 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