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-rw-r--r--ml/dlib/dlib/test/image.cpp1903
1 files changed, 0 insertions, 1903 deletions
diff --git a/ml/dlib/dlib/test/image.cpp b/ml/dlib/dlib/test/image.cpp
deleted file mode 100644
index 01f1410cf..000000000
--- a/ml/dlib/dlib/test/image.cpp
+++ /dev/null
@@ -1,1903 +0,0 @@
-// Copyright (C) 2008 Davis E. King (davis@dlib.net)
-// License: Boost Software License See LICENSE.txt for the full license.
-#include <sstream>
-#include <string>
-#include <cstdlib>
-#include <ctime>
-#include <dlib/pixel.h>
-#include <dlib/array2d.h>
-#include <dlib/image_transforms.h>
-#include <dlib/image_io.h>
-#include <dlib/matrix.h>
-#include <dlib/rand.h>
-
-#include "tester.h"
-
-namespace
-{
- using namespace test;
- using namespace dlib;
- using namespace std;
-
- logger dlog("test.image");
-
-
- void image_test (
- )
- /*!
- ensures
- - runs tests on pixel objects and functions for compliance with the specs
- !*/
- {
-
- print_spinner();
-
- array2d<unsigned char> img1, img2;
-
- img1.set_size(100,100);
-
- assign_all_pixels(img1,7);
-
- assign_image(img2, img1);
-
- DLIB_TEST_MSG(img1.nr() == 100 && img1.nc() == 100 &&
- img2.nr() == 100 && img2.nc() == 100,"");
-
-
- for (long r = 0; r < img1.nr(); ++r)
- {
- for (long c = 0; c < img1.nc(); ++c)
- {
- DLIB_TEST(img1[r][c] == 7);
- DLIB_TEST(img2[r][c] == 7);
- }
- }
-
- img2.clear();
- DLIB_TEST(img2.size() == 0);
- DLIB_TEST(img2.nr() == 0);
- DLIB_TEST(img2.nc() == 0);
- assign_image(img2, mat(img1));
-
- DLIB_TEST_MSG(img1.nr() == 100 && img1.nc() == 100 &&
- img2.nr() == 100 && img2.nc() == 100,"");
-
-
- for (long r = 0; r < img1.nr(); ++r)
- {
- for (long c = 0; c < img1.nc(); ++c)
- {
- DLIB_TEST(img1[r][c] == 7);
- DLIB_TEST(img2[r][c] == 7);
- }
- }
-
-
- threshold_image(img1, img2, 4);
-
- for (long r = 0; r < img1.nr(); ++r)
- {
- for (long c = 0; c < img1.nc(); ++c)
- {
- DLIB_TEST(img1[r][c] == 7);
- DLIB_TEST(img2[r][c] == on_pixel);
- }
- }
-
- {
- array2d<hsi_pixel> img;
- img.set_size(14,15);
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c].h = static_cast<unsigned char>(r*14 + c + 1);
- img[r][c].s = static_cast<unsigned char>(r*14 + c + 2);
- img[r][c].i = static_cast<unsigned char>(r*14 + c + 3);
- }
- }
-
- ostringstream sout;
- save_dng(img, sout);
- istringstream sin(sout.str());
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_dng(img, sin);
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c].h == r*14 + c + 1);
- DLIB_TEST(img[r][c].s == r*14 + c + 2);
- DLIB_TEST(img[r][c].i == r*14 + c + 3);
- }
- }
- }
-
-
-
-
- {
- array2d<rgb_alpha_pixel> img;
- img.set_size(14,15);
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c].red = static_cast<unsigned char>(r*14 + c + 1);
- img[r][c].green = static_cast<unsigned char>(r*14 + c + 2);
- img[r][c].blue = static_cast<unsigned char>(r*14 + c + 3);
- img[r][c].alpha = static_cast<unsigned char>(r*14 + c + 4);
- }
- }
-
- ostringstream sout;
- save_dng(img, sout);
- istringstream sin(sout.str());
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_dng(img, sin);
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c].red == r*14 + c + 1);
- DLIB_TEST(img[r][c].green == r*14 + c + 2);
- DLIB_TEST(img[r][c].blue == r*14 + c + 3);
- DLIB_TEST(img[r][c].alpha == r*14 + c + 4);
- }
- }
- }
-
-#ifdef DLIB_PNG_SUPPORT
- {
- array2d<rgb_alpha_pixel> img;
- array2d<rgb_pixel> img2, img3;
- img.set_size(14,15);
- img2.set_size(img.nr(),img.nc());
- img3.set_size(img.nr(),img.nc());
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c].red = static_cast<unsigned char>(r*14 + c + 1);
- img[r][c].green = static_cast<unsigned char>(r*14 + c + 2);
- img[r][c].blue = static_cast<unsigned char>(r*14 + c + 3);
- img[r][c].alpha = static_cast<unsigned char>(r*14 + c + 4);
- }
- }
-
- save_png(img, "test.png");
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_png(img, "test.png");
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- assign_all_pixels(img2, 255);
- assign_all_pixels(img3, 0);
- load_png(img2, "test.png");
- assign_image(img3, img);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c].red == r*14 + c + 1);
- DLIB_TEST(img[r][c].green == r*14 + c + 2);
- DLIB_TEST(img[r][c].blue == r*14 + c + 3);
- DLIB_TEST(img[r][c].alpha == r*14 + c + 4);
-
- DLIB_TEST(img2[r][c].red == img3[r][c].red);
- DLIB_TEST(img2[r][c].green == img3[r][c].green);
- DLIB_TEST(img2[r][c].blue == img3[r][c].blue);
- }
- }
- }
-#endif // DLIB_PNG_SUPPORT
-
-
-
- {
- array2d<rgb_pixel> img;
- img.set_size(14,15);
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c].red = static_cast<unsigned char>(r*14 + c + 1);
- img[r][c].green = static_cast<unsigned char>(r*14 + c + 2);
- img[r][c].blue = static_cast<unsigned char>(r*14 + c + 3);
- }
- }
-
- ostringstream sout;
- save_dng(img, sout);
- save_bmp(img, sout);
- save_dng(img, sout);
- save_bmp(img, sout);
- istringstream sin(sout.str());
-
- for (int i = 0; i < 2; ++i)
- {
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_dng(img, sin);
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c].red == r*14 + c + 1);
- DLIB_TEST(img[r][c].green == r*14 + c + 2);
- DLIB_TEST(img[r][c].blue == r*14 + c + 3);
- }
- }
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_bmp(img, sin);
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST_MSG(img[r][c].red == r*14 + c + 1, "got " << (int)img[r][c].red << " but expected " << r*14 + c + 1);
- DLIB_TEST(img[r][c].green == r*14 + c + 2);
- DLIB_TEST(img[r][c].blue == r*14 + c + 3);
- }
- }
- }
- }
- {
- array2d<bgr_pixel> img;
- img.set_size(14,15);
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c].red = static_cast<unsigned char>(r*14 + c + 1);
- img[r][c].green = static_cast<unsigned char>(r*14 + c + 2);
- img[r][c].blue = static_cast<unsigned char>(r*14 + c + 3);
- }
- }
-
- ostringstream sout;
- save_dng(img, sout);
- save_bmp(img, sout);
- save_dng(img, sout);
- save_bmp(img, sout);
- istringstream sin(sout.str());
-
- for (int i = 0; i < 2; ++i)
- {
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_dng(img, sin);
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c].red == r*14 + c + 1);
- DLIB_TEST(img[r][c].green == r*14 + c + 2);
- DLIB_TEST(img[r][c].blue == r*14 + c + 3);
- }
- }
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_bmp(img, sin);
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST_MSG(img[r][c].red == r*14 + c + 1, "got " << (int)img[r][c].red << " but expected " << r*14 + c + 1);
- DLIB_TEST(img[r][c].green == r*14 + c + 2);
- DLIB_TEST(img[r][c].blue == r*14 + c + 3);
- }
- }
- }
- }
-
-#ifdef DLIB_PNG_SUPPORT
- {
- array2d<rgb_pixel> img;
- img.set_size(14,15);
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c].red = static_cast<unsigned char>(r*14 + c + 1);
- img[r][c].green = static_cast<unsigned char>(r*14 + c + 2);
- img[r][c].blue = static_cast<unsigned char>(r*14 + c + 3);
- }
- }
-
- save_png(img, "test.png");
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_png(img, "test.png");
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c].red == r*14 + c + 1);
- DLIB_TEST(img[r][c].green == r*14 + c + 2);
- DLIB_TEST(img[r][c].blue == r*14 + c + 3);
- }
- }
- }
- {
- array2d<bgr_pixel> img;
- img.set_size(14,15);
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c].red = static_cast<unsigned char>(r*14 + c + 1);
- img[r][c].green = static_cast<unsigned char>(r*14 + c + 2);
- img[r][c].blue = static_cast<unsigned char>(r*14 + c + 3);
- }
- }
-
- save_png(img, "test.png");
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_png(img, "test.png");
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c].red == r*14 + c + 1);
- DLIB_TEST(img[r][c].green == r*14 + c + 2);
- DLIB_TEST(img[r][c].blue == r*14 + c + 3);
- }
- }
- }
-#endif // DLIB_PNG_SUPPORT
-
-
-
- {
- array2d<unsigned short> img;
- img.set_size(14,15);
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c] = static_cast<unsigned short>(r*14 + c + 0xF0);
- }
- }
-
- ostringstream sout;
- save_dng(img, sout);
- istringstream sin(sout.str());
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_dng(img, sin);
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c] == r*14 + c + 0xF0);
- }
- }
- }
-
-
-#ifdef DLIB_PNG_SUPPORT
- {
- array2d<unsigned short> img;
- img.set_size(14,15);
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c] = static_cast<unsigned short>(r*14 + c + 0xF0);
- }
- }
-
- save_png(img, "test.png");
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_png(img, "test.png");
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c] == r*14 + c + 0xF0);
- }
- }
- }
-#endif // DLIB_PNG_SUPPORT
-
-
-
- {
- array2d<unsigned char> img;
- img.set_size(14,15);
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c] = static_cast<unsigned char>(r*14 + c*111);
- }
- }
-
- ostringstream sout;
- save_dng(img, sout);
- save_bmp(img, sout);
- save_dng(img, sout);
- save_bmp(img, sout);
- istringstream sin(sout.str());
-
- for (int i = 0; i < 2; ++i)
- {
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_dng(img, sin);
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c] == static_cast<unsigned char>(r*14 + c*111));
- }
- }
-
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_bmp(img, sin);
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c] == static_cast<unsigned char>(r*14 + c*111));
- }
- }
- }
- }
-
-
-#ifdef DLIB_PNG_SUPPORT
- {
- array2d<unsigned char> img;
- img.set_size(14,15);
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c] = static_cast<unsigned char>(r*14 + c);
- }
- }
-
- save_png(img, "test.png");
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_png(img, "test.png");
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c] == r*14 + c);
- }
- }
-
- }
-#endif // DLIB_PNG_SUPPORT
-
-
- {
- // in this test we will only assign pixel values that can be
- // represented with 8 bits even though we are using a wider pixel type.
- array2d<unsigned short> img;
- img.set_size(14,15);
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- img[r][c] = static_cast<unsigned char>(r*14 + c);
- }
- }
-
- ostringstream sout;
- save_dng(img, sout);
- save_bmp(img, sout);
- save_dng(img, sout);
- save_bmp(img, sout);
- istringstream sin(sout.str());
-
- for (int i = 0; i < 2; ++i)
- {
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_dng(img, sin);
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c] == r*14 + c);
- }
- }
-
-
- img.clear();
- DLIB_TEST(img.nr() == 0);
- DLIB_TEST(img.nc() == 0);
-
- load_bmp(img, sin);
-
- DLIB_TEST(img.nr() == 14);
- DLIB_TEST(img.nc() == 15);
-
- for (long r = 0; r < 14; ++r)
- {
- for (long c = 0; c < 15; ++c)
- {
- DLIB_TEST(img[r][c] == r*14 + c);
- }
- }
- }
- }
-
- {
- array2d<unsigned short> img1;
- array2d<unsigned char> img2;
- img1.set_size(10,10);
- assign_all_pixels(img1, 0);
-
- img1[5][5] = 10000;
- img1[7][7] = 10000;
-
- equalize_histogram(img1, img2);
-
- for (long r = 0; r < img1.nr(); ++r)
- {
- for (long c = 0; c < img2.nc(); ++c)
- {
- if ((r == 5 && c == 5) ||
- (r == 7 && c == 7))
- {
- DLIB_TEST(img2[r][c] == 255);
- }
- else
- {
- DLIB_TEST(img2[r][c] == 0);
- }
- }
- }
-
- }
-
- {
- array2d<unsigned char> img;
- img.set_size(10,10);
- assign_all_pixels(img, 0);
-
- assign_border_pixels(img, 2,2, 4);
-
- DLIB_TEST(zeros_matrix<unsigned char>(6,6) == subm(mat(img), rectangle(2,2,7,7)));
- DLIB_TEST(uniform_matrix<unsigned char>(1,10, 4) == rowm(mat(img), 0));
- DLIB_TEST(uniform_matrix<unsigned char>(1,10, 4) == rowm(mat(img), 1));
- DLIB_TEST(uniform_matrix<unsigned char>(1,10, 4) == rowm(mat(img), 8));
- DLIB_TEST(uniform_matrix<unsigned char>(1,10, 4) == rowm(mat(img), 9));
-
- DLIB_TEST(uniform_matrix<unsigned char>(10,1, 4) == colm(mat(img), 0));
- DLIB_TEST(uniform_matrix<unsigned char>(10,1, 4) == colm(mat(img), 1));
- DLIB_TEST(uniform_matrix<unsigned char>(10,1, 4) == colm(mat(img), 8));
- DLIB_TEST(uniform_matrix<unsigned char>(10,1, 4) == colm(mat(img), 9));
-
-
- assign_border_pixels(img, 7, 7, 5);
- DLIB_TEST(uniform_matrix<unsigned char>(10,10, 5) == mat(img));
- assign_border_pixels(img, 37, 47, 5);
- DLIB_TEST(uniform_matrix<unsigned char>(10,10, 5) == mat(img));
- }
-
- {
- array2d<unsigned char> img;
- img.set_size(11,11);
- assign_all_pixels(img, 0);
-
- assign_border_pixels(img, 2,2, 4);
-
- DLIB_TEST(zeros_matrix<unsigned char>(7,7) == subm(mat(img), rectangle(2,2,8,8)));
- DLIB_TEST(uniform_matrix<unsigned char>(1,11, 4) == rowm(mat(img), 0));
- DLIB_TEST(uniform_matrix<unsigned char>(1,11, 4) == rowm(mat(img), 1));
- DLIB_TEST(uniform_matrix<unsigned char>(1,11, 4) == rowm(mat(img), 9));
- DLIB_TEST(uniform_matrix<unsigned char>(1,11, 4) == rowm(mat(img), 10));
-
- DLIB_TEST(uniform_matrix<unsigned char>(11,1, 4) == colm(mat(img), 0));
- DLIB_TEST(uniform_matrix<unsigned char>(11,1, 4) == colm(mat(img), 1));
- DLIB_TEST(uniform_matrix<unsigned char>(11,1, 4) == colm(mat(img), 9));
- DLIB_TEST(uniform_matrix<unsigned char>(11,1, 4) == colm(mat(img), 10));
-
- assign_border_pixels(img, 7, 7, 5);
- DLIB_TEST(uniform_matrix<unsigned char>(11,11, 5) == mat(img));
- assign_border_pixels(img, 70, 57, 5);
- DLIB_TEST(uniform_matrix<unsigned char>(11,11, 5) == mat(img));
- }
-
-
- }
-
-
- template <typename T, typename pixel_type>
- void test_integral_image (
- )
- {
- dlib::rand rnd;
-
- array2d<pixel_type> img;
- integral_image_generic<T> int_img;
-
- int_img.load(img);
- DLIB_TEST(int_img.nr() == 0);
- DLIB_TEST(int_img.nc() == 0);
-
- // make 5 random images
- for (int i = 0; i < 5; ++i)
- {
- print_spinner();
- img.set_size(rnd.get_random_16bit_number()%200+1, rnd.get_random_16bit_number()%200+1);
-
- for (long r = 0; r < img.nr(); ++r)
- {
- for (long c = 0; c < img.nc(); ++c)
- {
- img[r][c] = (int)rnd.get_random_8bit_number() - 100;
- }
- }
-
- int_img.load(img);
- DLIB_TEST(int_img.nr() == img.nr());
- DLIB_TEST(int_img.nc() == img.nc());
-
- // make 200 random rectangles
- for (int j = 0; j < 500; ++j)
- {
- point p1(rnd.get_random_32bit_number()%img.nc(), rnd.get_random_32bit_number()%img.nr());
- point p2(rnd.get_random_32bit_number()%img.nc(), rnd.get_random_32bit_number()%img.nr());
- rectangle rect(p1,p2);
- DLIB_TEST(int_img.get_sum_of_area(rect) == sum(subm(matrix_cast<T>(mat(img)), rect)));
- rect = rectangle(p1,p1);
- DLIB_TEST(int_img.get_sum_of_area(rect) == sum(subm(matrix_cast<T>(mat(img)), rect)));
- }
-
- }
-
-
- }
-
- void test_filtering2(int nr, int nc, dlib::rand& rnd)
- {
- print_spinner();
- dlog << LINFO << "test_filtering2(): " << nr << " " << nc;
- array2d<float> img(302,301);
- for (long r = 0; r < img.nr(); ++r)
- {
- for (long c = 0; c < img.nc(); ++c)
- {
- img[r][c] = rnd.get_random_gaussian();
- }
- }
- matrix<float> filt = matrix_cast<float>(randm(nr,nc,rnd));
-
- matrix<float> out = xcorr_same(mat(img),filt);
- matrix<float> out2 = subm(conv(mat(img),flip(filt)), filt.nr()/2, filt.nc()/2, img.nr(), img.nc());
- // make sure xcorr_same does exactly what the docs say it should.
- DLIB_TEST(max(abs(out-out2)) < 1e-7);
-
- // Now compare the filtering functions to xcorr_same to make sure everything does
- // filtering in the same way.
- array2d<float> imout(img.nr(), img.nc());
- assign_all_pixels(imout, 10);
- rectangle rect = spatially_filter_image(img, imout, filt);
- border_enumerator be(get_rect(imout),rect);
- while (be.move_next())
- {
- DLIB_TEST(imout[be.element().y()][be.element().x()] == 0);
- }
- DLIB_TEST_MSG(max(abs(subm(mat(imout),rect) - subm(out,rect))) < 1e-5, max(abs(subm(mat(imout),rect) - subm(out,rect))));
-
-
- assign_all_pixels(imout, 10);
- out = 10;
- rect = spatially_filter_image(img, imout, filt,2,true,true);
- be = border_enumerator(get_rect(imout),rect);
- while (be.move_next())
- {
- DLIB_TEST(imout[be.element().y()][be.element().x()] == 10);
- }
- out += abs(xcorr_same(mat(img),filt)/2);
- DLIB_TEST(max(abs(subm(mat(imout),rect) - subm(out,rect))) < 1e-7);
-
-
- assign_all_pixels(imout, -10);
- out = -10;
- rect = spatially_filter_image(img, imout, filt,2,false,true);
- be = border_enumerator(get_rect(imout),rect);
- while (be.move_next())
- {
- DLIB_TEST(imout[be.element().y()][be.element().x()] == -10);
- }
- out += xcorr_same(mat(img),filt)/2;
- DLIB_TEST_MSG(max(abs(subm(mat(imout),rect) - subm(out,rect))) < 1e-5, max(abs(subm(mat(imout),rect) - subm(out,rect))));
-
-
-
-
- matrix<float> row_filt = matrix_cast<float>(randm(nc,1,rnd));
- matrix<float> col_filt = matrix_cast<float>(randm(nr,1,rnd));
- assign_all_pixels(imout, 10);
- rect = spatially_filter_image_separable(img, imout, row_filt, col_filt);
- out = xcorr_same(tmp(xcorr_same(mat(img),trans(row_filt))), col_filt);
- DLIB_TEST_MSG(max(abs(subm(mat(imout),rect) - subm(out,rect))) < 1e-5, max(abs(subm(mat(imout),rect) - subm(out,rect))));
-
- be = border_enumerator(get_rect(imout),rect);
- while (be.move_next())
- {
- DLIB_TEST(imout[be.element().y()][be.element().x()] == 0);
- }
-
-
- assign_all_pixels(imout, 10);
- out = 10;
- rect = spatially_filter_image_separable(img, imout, row_filt, col_filt,2,true,true);
- out += abs(xcorr_same(tmp(xcorr_same(mat(img),trans(row_filt))), col_filt)/2);
- DLIB_TEST_MSG(max(abs(subm(mat(imout),rect) - subm(out,rect))) < 1e-7,
- max(abs(subm(mat(imout),rect) - subm(out,rect))));
-
- be = border_enumerator(get_rect(imout),rect);
- while (be.move_next())
- {
- DLIB_TEST(imout[be.element().y()][be.element().x()] == 10);
- }
-
- }
-
- template <typename T>
- void test_filtering(bool use_abs, unsigned long scale )
- {
- print_spinner();
- dlog << LINFO << "test_filtering(" << use_abs << "," << scale << ")";
- array2d<T> img, img2, img3;
- img.set_size(10,11);
-
- assign_all_pixels(img, 10);
-
- matrix<int,3,5> filter2;
- filter2 = 1,1,1,1,1,
- 1,1,1,1,1,
- 1,1,1,1,1;
-
- assign_all_pixels(img2,3);
- rectangle brect = spatially_filter_image(img, img2, filter2);
- DLIB_TEST(brect == shrink_rect(get_rect(img), filter2.nc()/2, filter2.nr()/2));
-
- const rectangle rect(2,1,img.nc()-3,img.nr()-2);
-
- for (long r = 0; r<img2.nr(); ++r)
- {
- for (long c = 0; c<img2.nc(); ++c)
- {
- if (rect.contains(c,r))
- {
- DLIB_TEST_MSG(img2[r][c] == 150, (int)img2[r][c]);
- }
- else
- {
- DLIB_TEST_MSG(img2[r][c] == 0,(int)img2[r][c]);
- }
- }
- }
-
-
- assign_all_pixels(img2,3);
- assign_all_pixels(img3,3);
- brect = spatially_filter_image(img, img2, filter2);
- DLIB_TEST(brect == shrink_rect(get_rect(img), filter2.nc()/2, filter2.nr()/2));
-
- matrix<int,1,5> row_filter;
- matrix<int,1,3> col_filter;
-
- row_filter = 1,1,1,1,1;
- col_filter = 1,1,1;
-
- spatially_filter_image_separable(img, img3, row_filter, col_filter);
-
- DLIB_TEST(mat(img2) == mat(img3));
-
-
- dlib::rand rnd;
-
- for (int i = 0; i < 30; ++i)
- {
- for (long r = 0; r < img.nr(); ++r)
- {
- for (long c = 0; c < img.nc(); ++c)
- {
- img[r][c] = rnd.get_random_8bit_number();
- }
- }
-
- row_filter(0) = ((int)rnd.get_random_8bit_number() - 100)/10;
- row_filter(1) = ((int)rnd.get_random_8bit_number() - 100)/10;
- row_filter(2) = ((int)rnd.get_random_8bit_number() - 100)/10;
- row_filter(3) = ((int)rnd.get_random_8bit_number() - 100)/10;
- row_filter(4) = ((int)rnd.get_random_8bit_number() - 100)/10;
- col_filter(0) = ((int)rnd.get_random_8bit_number() - 100)/10;
- col_filter(1) = ((int)rnd.get_random_8bit_number() - 100)/10;
- col_filter(2) = ((int)rnd.get_random_8bit_number() - 100)/10;
-
- const matrix<int,3,5> filter = trans(col_filter)*row_filter;
-
- assign_all_pixels(img2,3);
- assign_all_pixels(img3,3);
- // Just make sure both filtering methods give the same results.
- rectangle brect1, brect2;
- brect1 = spatially_filter_image(img, img2, filter, scale, use_abs);
- brect2 = spatially_filter_image_separable(img, img3, row_filter, col_filter, scale, use_abs);
- DLIB_TEST(mat(img2) == mat(img3));
-
- DLIB_TEST(brect1 == shrink_rect(get_rect(img), filter.nc()/2, filter.nr()/2));
- DLIB_TEST(brect1 == brect2);
- }
-
- {
- array2d<int> img, img2;
- img.set_size(3,4);
-
- matrix<int> filter(3,3);
- filter = 1;
- assign_all_pixels(img,-1);
-
- spatially_filter_image(img,img2,filter);
-
- DLIB_TEST(img2[0][0] == 0);
- DLIB_TEST(img2[0][1] == 0);
- DLIB_TEST(img2[0][2] == 0);
- DLIB_TEST(img2[0][3] == 0);
-
- DLIB_TEST(img2[1][0] == 0);
- DLIB_TEST(img2[1][1] == -9);
- DLIB_TEST(img2[1][2] == -9);
- DLIB_TEST(img2[1][3] == 0);
-
- DLIB_TEST(img2[2][0] == 0);
- DLIB_TEST(img2[2][1] == 0);
- DLIB_TEST(img2[2][2] == 0);
- DLIB_TEST(img2[2][3] == 0);
-
- assign_all_pixels(img,-1);
-
- spatially_filter_image(img,img2,filter,2,true);
-
- DLIB_TEST(img2[0][0] == 0);
- DLIB_TEST(img2[0][1] == 0);
- DLIB_TEST(img2[0][2] == 0);
- DLIB_TEST(img2[0][3] == 0);
-
- DLIB_TEST(img2[1][0] == 0);
- DLIB_TEST(img2[1][1] == 4);
- DLIB_TEST(img2[1][2] == 4);
- DLIB_TEST(img2[1][3] == 0);
-
- DLIB_TEST(img2[2][0] == 0);
- DLIB_TEST(img2[2][1] == 0);
- DLIB_TEST(img2[2][2] == 0);
- DLIB_TEST(img2[2][3] == 0);
-
- matrix<int> rowf(3,1), colf(3,1);
- rowf = 1;
- colf = 1;
- assign_all_pixels(img,-1);
-
- spatially_filter_image_separable(img,img2,rowf,colf);
- DLIB_TEST(img2[0][0] == 0);
- DLIB_TEST(img2[0][1] == 0);
- DLIB_TEST(img2[0][2] == 0);
- DLIB_TEST(img2[0][3] == 0);
-
- DLIB_TEST(img2[1][0] == 0);
- DLIB_TEST(img2[1][1] == -9);
- DLIB_TEST(img2[1][2] == -9);
- DLIB_TEST(img2[1][3] == 0);
-
- DLIB_TEST(img2[2][0] == 0);
- DLIB_TEST(img2[2][1] == 0);
- DLIB_TEST(img2[2][2] == 0);
- DLIB_TEST(img2[2][3] == 0);
-
- spatially_filter_image_separable(img,img2,rowf,colf,1,true);
- DLIB_TEST(img2[0][0] == 0);
- DLIB_TEST(img2[0][1] == 0);
- DLIB_TEST(img2[0][2] == 0);
- DLIB_TEST(img2[0][3] == 0);
-
- DLIB_TEST(img2[1][0] == 0);
- DLIB_TEST(img2[1][1] == 9);
- DLIB_TEST(img2[1][2] == 9);
- DLIB_TEST(img2[1][3] == 0);
-
- DLIB_TEST(img2[2][0] == 0);
- DLIB_TEST(img2[2][1] == 0);
- DLIB_TEST(img2[2][2] == 0);
- DLIB_TEST(img2[2][3] == 0);
-
- assign_all_pixels(img2, 3);
- spatially_filter_image_separable(img,img2,rowf,colf,1,true, true);
- DLIB_TEST(img2[0][0] == 3);
- DLIB_TEST(img2[0][1] == 3);
- DLIB_TEST(img2[0][2] == 3);
- DLIB_TEST(img2[0][3] == 3);
-
- DLIB_TEST(img2[1][0] == 3);
- DLIB_TEST_MSG(img2[1][1] == 9+3, img2[1][1] );
- DLIB_TEST(img2[1][2] == 9+3);
- DLIB_TEST(img2[1][3] == 3);
-
- DLIB_TEST(img2[2][0] == 3);
- DLIB_TEST(img2[2][1] == 3);
- DLIB_TEST(img2[2][2] == 3);
- DLIB_TEST(img2[2][3] == 3);
- }
- {
- array2d<double> img, img2;
- img.set_size(3,4);
-
- matrix<double> filter(3,3);
- filter = 1;
- assign_all_pixels(img,-1);
-
- spatially_filter_image(img,img2,filter,2);
-
- DLIB_TEST(img2[0][0] == 0);
- DLIB_TEST(img2[0][1] == 0);
- DLIB_TEST(img2[0][2] == 0);
- DLIB_TEST(img2[0][3] == 0);
-
- DLIB_TEST(img2[1][0] == 0);
- DLIB_TEST(std::abs(img2[1][1] - -4.5) < 1e-14);
- DLIB_TEST(std::abs(img2[1][2] - -4.5) < 1e-14);
- DLIB_TEST(img2[1][3] == 0);
-
- DLIB_TEST(img2[2][0] == 0);
- DLIB_TEST(img2[2][1] == 0);
- DLIB_TEST(img2[2][2] == 0);
- DLIB_TEST(img2[2][3] == 0);
-
- }
- {
- array2d<double> img, img2;
- img.set_size(3,4);
- img2.set_size(3,4);
- assign_all_pixels(img2, 8);
-
- matrix<double> filter(3,3);
- filter = 1;
- assign_all_pixels(img,-1);
-
- spatially_filter_image(img,img2,filter,2, false, true);
-
- DLIB_TEST(img2[0][0] == 8);
- DLIB_TEST(img2[0][1] == 8);
- DLIB_TEST(img2[0][2] == 8);
- DLIB_TEST(img2[0][3] == 8);
-
- DLIB_TEST(img2[1][0] == 8);
- DLIB_TEST(std::abs(img2[1][1] - -4.5 - 8) < 1e-14);
- DLIB_TEST(std::abs(img2[1][2] - -4.5 - 8) < 1e-14);
- DLIB_TEST(img2[1][3] == 8);
-
- DLIB_TEST(img2[2][0] == 8);
- DLIB_TEST(img2[2][1] == 8);
- DLIB_TEST(img2[2][2] == 8);
- DLIB_TEST(img2[2][3] == 8);
-
- }
- }
-
-
- void test_zero_border_pixels(
- )
- {
- array2d<unsigned char> img;
- img.set_size(4,5);
-
- assign_all_pixels(img, 1);
- zero_border_pixels(img, 2,1);
-
- DLIB_TEST(img[0][0] == 0);
- DLIB_TEST(img[1][0] == 0);
- DLIB_TEST(img[2][0] == 0);
- DLIB_TEST(img[3][0] == 0);
- DLIB_TEST(img[0][1] == 0);
- DLIB_TEST(img[1][1] == 0);
- DLIB_TEST(img[2][1] == 0);
- DLIB_TEST(img[3][1] == 0);
-
- DLIB_TEST(img[0][3] == 0);
- DLIB_TEST(img[1][3] == 0);
- DLIB_TEST(img[2][3] == 0);
- DLIB_TEST(img[3][3] == 0);
- DLIB_TEST(img[0][4] == 0);
- DLIB_TEST(img[1][4] == 0);
- DLIB_TEST(img[2][4] == 0);
- DLIB_TEST(img[3][4] == 0);
-
- DLIB_TEST(img[0][2] == 0);
- DLIB_TEST(img[3][2] == 0);
-
- DLIB_TEST(img[1][2] == 1);
- DLIB_TEST(img[2][2] == 1);
-
- rectangle rect = get_rect(img);
- rect.left()+=2;
- rect.top()+=1;
- rect.right()-=2;
- rect.bottom()-=1;
- assign_all_pixels(img, 1);
- zero_border_pixels(img, rect);
-
- DLIB_TEST(img[0][0] == 0);
- DLIB_TEST(img[1][0] == 0);
- DLIB_TEST(img[2][0] == 0);
- DLIB_TEST(img[3][0] == 0);
- DLIB_TEST(img[0][1] == 0);
- DLIB_TEST(img[1][1] == 0);
- DLIB_TEST(img[2][1] == 0);
- DLIB_TEST(img[3][1] == 0);
-
- DLIB_TEST(img[0][3] == 0);
- DLIB_TEST(img[1][3] == 0);
- DLIB_TEST(img[2][3] == 0);
- DLIB_TEST(img[3][3] == 0);
- DLIB_TEST(img[0][4] == 0);
- DLIB_TEST(img[1][4] == 0);
- DLIB_TEST(img[2][4] == 0);
- DLIB_TEST(img[3][4] == 0);
-
- DLIB_TEST(img[0][2] == 0);
- DLIB_TEST(img[3][2] == 0);
-
- DLIB_TEST(img[1][2] == 1);
- DLIB_TEST(img[2][2] == 1);
-
- rect.right()+=1;
- assign_all_pixels(img, 1);
- zero_border_pixels(img, rect);
- DLIB_TEST(img[0][0] == 0);
- DLIB_TEST(img[1][0] == 0);
- DLIB_TEST(img[2][0] == 0);
- DLIB_TEST(img[3][0] == 0);
- DLIB_TEST(img[0][1] == 0);
- DLIB_TEST(img[1][1] == 0);
- DLIB_TEST(img[2][1] == 0);
- DLIB_TEST(img[3][1] == 0);
-
- DLIB_TEST(img[0][3] == 0);
- DLIB_TEST(img[1][3] == 1);
- DLIB_TEST(img[2][3] == 1);
- DLIB_TEST(img[3][3] == 0);
- DLIB_TEST(img[0][4] == 0);
- DLIB_TEST(img[1][4] == 0);
- DLIB_TEST(img[2][4] == 0);
- DLIB_TEST(img[3][4] == 0);
-
- DLIB_TEST(img[0][2] == 0);
- DLIB_TEST(img[3][2] == 0);
-
- DLIB_TEST(img[1][2] == 1);
- DLIB_TEST(img[2][2] == 1);
- }
-
-
- void test_label_connected_blobs()
- {
- array2d<unsigned char> img;
- img.set_size(400,401);
-
- assign_all_pixels(img,0);
-
- rectangle rect1, rect2, rect3;
-
- rect1 = centered_rect(99,120, 50,70);
- rect2 = centered_rect(199,80, 34,68);
- rect3 = centered_rect(249,180, 120,78);
-
- fill_rect(img, rect1, 255);
- fill_rect(img, rect2, 255);
- fill_rect(img, rect3, 255);
-
- array2d<unsigned char> labels;
- unsigned long num;
- num = label_connected_blobs(img,
- zero_pixels_are_background(),
- neighbors_8(),
- connected_if_both_not_zero(),
- labels);
-
- DLIB_TEST(num == 4);
- DLIB_TEST(labels.nr() == img.nr());
- DLIB_TEST(labels.nc() == img.nc());
-
- const unsigned char l1 = labels[rect1.top()][rect1.left()];
- const unsigned char l2 = labels[rect2.top()][rect2.left()];
- const unsigned char l3 = labels[rect3.top()][rect3.left()];
-
- DLIB_TEST(l1 != 0 && l2 != 0 && l3 != 0);
- DLIB_TEST(l1 != l2 && l1 != l3 && l2 != l3);
-
- for (long r = 0; r < labels.nr(); ++r)
- {
- for (long c = 0; c < labels.nc(); ++c)
- {
- if (rect1.contains(c,r))
- {
- DLIB_TEST(labels[r][c] == l1);
- }
- else if (rect2.contains(c,r))
- {
- DLIB_TEST(labels[r][c] == l2);
- }
- else if (rect3.contains(c,r))
- {
- DLIB_TEST(labels[r][c] == l3);
- }
- else
- {
- DLIB_TEST(labels[r][c] == 0);
- }
- }
- }
- }
-
- void test_label_connected_blobs2()
- {
- array2d<unsigned char> img;
- img.set_size(400,401);
-
- assign_all_pixels(img,0);
-
- rectangle rect1, rect2, rect3;
-
- rect1 = centered_rect(99,120, 50,70);
- rect2 = centered_rect(199,80, 34,68);
- rect3 = centered_rect(249,180, 120,78);
-
- fill_rect(img, rect1, 255);
- fill_rect(img, rect2, 253);
- fill_rect(img, rect3, 255);
-
- array2d<unsigned char> labels;
- unsigned long num;
- num = label_connected_blobs(img,
- nothing_is_background(),
- neighbors_4(),
- connected_if_equal(),
- labels);
-
- DLIB_TEST(num == 5);
- DLIB_TEST(labels.nr() == img.nr());
- DLIB_TEST(labels.nc() == img.nc());
-
- const unsigned char l0 = labels[0][0];
- const unsigned char l1 = labels[rect1.top()][rect1.left()];
- const unsigned char l2 = labels[rect2.top()][rect2.left()];
- const unsigned char l3 = labels[rect3.top()][rect3.left()];
-
- DLIB_TEST(l0 != 0 && l1 != 0 && l2 != 0 && l3 != 0);
- DLIB_TEST(l1 != l2 && l1 != l3 && l2 != l3 &&
- l0 != l1 && l0 != l2 && l0 != l3);
-
- for (long r = 0; r < labels.nr(); ++r)
- {
- for (long c = 0; c < labels.nc(); ++c)
- {
- if (rect1.contains(c,r))
- {
- DLIB_TEST(labels[r][c] == l1);
- }
- else if (rect2.contains(c,r))
- {
- DLIB_TEST(labels[r][c] == l2);
- }
- else if (rect3.contains(c,r))
- {
- DLIB_TEST(labels[r][c] == l3);
- }
- else
- {
- DLIB_TEST(labels[r][c] == l0);
- }
- }
- }
- }
-
-// ----------------------------------------------------------------------------------------
-
- template <
- typename in_image_type,
- typename out_image_type
- >
- void downsample_image (
- const unsigned long downsample,
- const in_image_type& in_img,
- out_image_type& out_img,
- bool add_to
- )
- {
- out_img.set_size((in_img.nr()+downsample-1)/downsample,
- (in_img.nc()+downsample-1)/downsample);
-
- for (long r = 0; r < out_img.nr(); ++r)
- {
- for (long c = 0; c < out_img.nc(); ++c)
- {
- if (add_to)
- out_img[r][c] += in_img[r*downsample][c*downsample];
- else
- out_img[r][c] = in_img[r*downsample][c*downsample];
- }
- }
- }
-
- template <
- typename in_image_type,
- typename out_image_type,
- typename EXP1,
- typename EXP2,
- typename T
- >
- void test_spatially_filter_image_separable_down_simple (
- const unsigned long downsample,
- const in_image_type& in_img,
- out_image_type& out_img,
- const matrix_exp<EXP1>& row_filter,
- const matrix_exp<EXP2>& col_filter,
- T scale,
- bool use_abs = false,
- bool add_to = false
- )
- {
- out_image_type temp;
- spatially_filter_image_separable(in_img, temp, row_filter, col_filter, scale, use_abs, false);
- downsample_image(downsample, temp, out_img, add_to);
- }
-
-
-
-
- template <unsigned long downsample>
- void test_downsampled_filtering_helper(long row_filt_size, long col_filt_size)
- {
- print_spinner();
- dlog << LTRACE << "***********************************";
- dlog << LTRACE << "downsample: " << downsample;
- dlog << LTRACE << "row_filt_size: "<< row_filt_size;
- dlog << LTRACE << "col_filt_size: "<< col_filt_size;
- dlib::rand rnd;
- array2d<int> out1, out2;
- for (long nr = 0; nr < 3; ++nr)
- {
- for (long nc = 0; nc < 3; ++nc)
- {
- dlog << LTRACE << "nr: "<< nr;
- dlog << LTRACE << "nc: "<< nc;
- array2d<unsigned char> img(25+nr,25+nc);
- for (int k = 0; k < 5; ++k)
- {
- for (long r = 0; r < img.nr(); ++r)
- {
- for (long c = 0; c < img.nc(); ++c)
- {
- img[r][c] = rnd.get_random_8bit_number();
- }
- }
-
- matrix<int,0,1> row_filter(row_filt_size);
- matrix<int,0,1> col_filter(col_filt_size);
-
- row_filter = matrix_cast<int>(10*randm(row_filt_size,1, rnd));
- col_filter = matrix_cast<int>(10*randm(col_filt_size,1, rnd));
-
- row_filter -= 3;
- col_filter -= 3;
-
-
- test_spatially_filter_image_separable_down_simple(downsample, img, out1, row_filter, col_filter,1 );
- spatially_filter_image_separable_down(downsample, img, out2, row_filter, col_filter);
-
- DLIB_TEST(get_rect(out1) == get_rect(out2));
- DLIB_TEST(mat(out1) == mat(out2));
-
- test_spatially_filter_image_separable_down_simple(downsample, img, out1, row_filter, col_filter,3, true, true );
- spatially_filter_image_separable_down(downsample, img, out2, row_filter, col_filter, 3, true, true);
-
- DLIB_TEST(get_rect(out1) == get_rect(out2));
- DLIB_TEST(mat(out1) == mat(out2));
-
- }
- }
- }
- }
-
- void test_downsampled_filtering()
- {
- test_downsampled_filtering_helper<1>(5,5);
- test_downsampled_filtering_helper<2>(5,5);
- test_downsampled_filtering_helper<3>(5,5);
- test_downsampled_filtering_helper<1>(3,5);
- test_downsampled_filtering_helper<2>(3,5);
- test_downsampled_filtering_helper<3>(3,5);
- test_downsampled_filtering_helper<1>(5,3);
- test_downsampled_filtering_helper<2>(5,3);
- test_downsampled_filtering_helper<3>(5,3);
-
- test_downsampled_filtering_helper<1>(3,3);
- test_downsampled_filtering_helper<2>(3,3);
- test_downsampled_filtering_helper<3>(3,3);
-
- test_downsampled_filtering_helper<1>(1,1);
- test_downsampled_filtering_helper<2>(1,1);
- test_downsampled_filtering_helper<3>(1,1);
-
- }
-
-// ----------------------------------------------------------------------------------------
-
- template <typename T>
- void test_segment_image()
- {
- print_spinner();
- array2d<T> img(100,100);
- for (long r = 0; r < img.nr(); ++r)
- {
- for (long c = 0; c < img.nc(); ++c)
- {
- if (c < 50 || r < 50)
- assign_pixel(img[r][c], 0);
- else
- assign_pixel(img[r][c], 255);
- }
- }
-
- array2d<unsigned long> out;
- segment_image(img, out);
-
- DLIB_TEST(get_rect(img) == get_rect(out));
- const unsigned long v1 = out[0][0];
- const unsigned long v2 = out[90][90];
-
- for (long r = 0; r < img.nr(); ++r)
- {
- for (long c = 0; c < img.nc(); ++c)
- {
- if (c < 50 || r < 50)
- {
- DLIB_TEST(out[r][c] == v1);
- }
- else
- {
- DLIB_TEST(out[r][c] == v2);
- }
- }
- }
- }
-
-// ----------------------------------------------------------------------------------------
-
- template <typename T>
- void test_dng_floats(double scale)
- {
- dlog << LINFO << "in test_dng_floats";
- print_spinner();
- array2d<T> img(100,101);
-
- dlib::rand rnd;
- for (long r = 0; r < img.nr(); ++r)
- {
- for (long c = 0; c < img.nc(); ++c)
- {
- T val = rnd.get_random_double()*scale;
- img[r][c] = val;
-
- // Lets the float_details object while we are here doing this stuff.
- float_details temp = val;
- T val2 = temp;
- // for the same type we should exactly reproduce the value (unless
- // it's long double and then maybe it's slightly different).
- if (is_same_type<T,long double>::value)
- {
- DLIB_TEST(std::abs(val2-val) < scale*std::numeric_limits<T>::epsilon());
- }
- else
- {
- DLIB_TEST(val2 == val);
- }
-
- float valf = temp;
- double vald = temp;
- long double vall = temp;
-
- DLIB_TEST(std::abs(valf-val) < scale*std::numeric_limits<float>::epsilon());
- DLIB_TEST(std::abs(vald-val) < scale*std::numeric_limits<double>::epsilon());
- DLIB_TEST(std::abs(vall-val) < scale*std::numeric_limits<long double>::epsilon());
- }
- }
-
- ostringstream sout;
- save_dng(img, sout);
- istringstream sin;
-
- array2d<float> img1;
- array2d<double> img2;
- array2d<long double> img3;
-
- sin.clear(); sin.str(sout.str());
- load_dng(img1, sin);
-
- sin.clear(); sin.str(sout.str());
- load_dng(img2, sin);
-
- sin.clear(); sin.str(sout.str());
- load_dng(img3, sin);
-
- DLIB_TEST(img.nr() == img1.nr());
- DLIB_TEST(img.nr() == img2.nr());
- DLIB_TEST(img.nr() == img3.nr());
- DLIB_TEST(img.nc() == img1.nc());
- DLIB_TEST(img.nc() == img2.nc());
- DLIB_TEST(img.nc() == img3.nc());
-
- DLIB_TEST(max(abs(mat(img) - matrix_cast<T>(mat(img1)))) < scale*std::numeric_limits<float>::epsilon());
- DLIB_TEST(max(abs(mat(img) - matrix_cast<T>(mat(img2)))) < scale*std::numeric_limits<double>::epsilon());
- DLIB_TEST(max(abs(mat(img) - matrix_cast<T>(mat(img3)))) < scale*std::numeric_limits<long double>::epsilon());
- }
-
- void test_dng_float_int()
- {
- dlog << LINFO << "in test_dng_float_int";
- print_spinner();
-
- array2d<uint16> img;
- assign_image(img, gaussian_randm(101,100)*10000);
-
- ostringstream sout;
- save_dng(img, sout);
- istringstream sin(sout.str());
- array2d<double> img2;
- load_dng(img2, sin);
- sout.clear(); sout.str("");
-
- save_dng(img2, sout);
- sin.clear(); sin.str(sout.str());
- array2d<uint16> img3;
- load_dng(img3, sin);
-
- // this whole thing should have been totally lossless.
- DLIB_TEST(mat(img) == mat(img3));
- }
-
-// ----------------------------------------------------------------------------------------
-
- template <typename T>
- void test_filtering_center (
- dlib::rand& rnd
- )
- {
- array2d<T> img(rnd.get_random_32bit_number()%100+1,
- rnd.get_random_32bit_number()%100+1);
- matrix<T> filt(rnd.get_random_32bit_number()%10+1,
- rnd.get_random_32bit_number()%10+1);
-
- for (long r = 0; r < img.nr(); ++r)
- {
- for (long c = 0; c < img.nc(); ++c)
- {
- img[r][c] = rnd.get_random_32bit_number()%100;
- }
- }
- for (long r = 0; r < filt.nr(); ++r)
- {
- for (long c = 0; c < filt.nc(); ++c)
- {
- filt(r,c) = rnd.get_random_32bit_number()%100;
- }
- }
-
- array2d<T> out;
- const rectangle area = spatially_filter_image(img, out, filt);
-
- for (long r = 0; r < out.nr(); ++r)
- {
- for (long c = 0; c < out.nc(); ++c)
- {
- const rectangle rect = centered_rect(point(c,r), filt.nc(), filt.nr());
- if (get_rect(out).contains(rect))
- {
- T val = sum(pointwise_multiply(filt, subm(mat(img),rect)));
- DLIB_TEST_MSG(val == out[r][c],"err: " << val-out[r][c]);
- DLIB_TEST(area.contains(point(c,r)));
- }
- else
- {
- DLIB_TEST(!area.contains(point(c,r)));
- }
- }
- }
- }
-
- template <typename T>
- void test_separable_filtering_center (
- dlib::rand& rnd
- )
- {
- array2d<T> img(rnd.get_random_32bit_number()%100+1,
- rnd.get_random_32bit_number()%100+1);
- matrix<T,1,0> row_filt(rnd.get_random_32bit_number()%10+1);
- matrix<T,0,1> col_filt(rnd.get_random_32bit_number()%10+1);
-
- for (long r = 0; r < img.nr(); ++r)
- {
- for (long c = 0; c < img.nc(); ++c)
- {
- img[r][c] = rnd.get_random_32bit_number()%10;
- }
- }
- for (long r = 0; r < row_filt.size(); ++r)
- {
- row_filt(r) = rnd.get_random_32bit_number()%10;
- }
- for (long r = 0; r < col_filt.size(); ++r)
- {
- col_filt(r) = rnd.get_random_32bit_number()%10;
- }
-
- array2d<T> out;
- const rectangle area = spatially_filter_image_separable(img, out, row_filt, col_filt);
-
- for (long r = 0; r < out.nr(); ++r)
- {
- for (long c = 0; c < out.nc(); ++c)
- {
- const rectangle rect = centered_rect(point(c,r), row_filt.size(), col_filt.size());
- if (get_rect(out).contains(rect))
- {
- T val = sum(pointwise_multiply(col_filt*row_filt, subm(mat(img),rect)));
- DLIB_TEST_MSG(val == out[r][c],"err: " << val-out[r][c]);
-
- DLIB_TEST(area.contains(point(c,r)));
- }
- else
- {
- DLIB_TEST(!area.contains(point(c,r)));
- }
- }
- }
- }
-
-// ----------------------------------------------------------------------------------------
-
- void run_hough_test()
- {
- array2d<unsigned char> img(300,300);
-
-
- for (int k = -2; k <= 2; ++k)
- {
- print_spinner();
- running_stats<double> rs;
- array2d<int> himg;
- hough_transform ht(200+k);
- double angle1 = 0;
- double angle2 = 0;
- const int len = 90;
- // Draw a bunch of random lines, hough transform them, then make sure the hough
- // transform detects them accurately.
- for (int i = 0; i < 500; ++i)
- {
- point cent = center(get_rect(img));
- point arc = cent + point(len,0);
- arc = rotate_point(cent, arc, angle1);
-
- point l = arc + point(500,0);
- point r = arc - point(500,0);
- l = rotate_point(arc, l, angle2);
- r = rotate_point(arc, r, angle2);
-
- angle1 += pi/13;
- angle2 += pi/40;
-
- assign_all_pixels(img, 0);
- draw_line(img, l, r, 255);
- rectangle box = translate_rect(get_rect(ht),point(50,50));
- ht(img, box, himg);
-
- point p = max_point(mat(himg));
- DLIB_TEST(himg[p.y()][p.x()] > 255*3);
-
- l -= point(50,50);
- r -= point(50,50);
- std::pair<point,point> line = ht.get_line(p);
- // make sure the best scoring hough point matches the line we drew.
- double dist1 = distance_to_line(make_pair(l,r), line.first);
- double dist2 = distance_to_line(make_pair(l,r), line.second);
- //cout << "DIST1: " << dist1 << endl;
- //cout << "DIST2: " << dist2 << endl;
- rs.add(dist1);
- rs.add(dist2);
- DLIB_TEST(dist1 < 2.5);
- DLIB_TEST(dist2 < 2.5);
- }
- //cout << "rs.mean(): " << rs.mean() << endl;
- DLIB_TEST(rs.mean() < 0.7);
- }
- }
-
-// ----------------------------------------------------------------------------------------
-
- void test_extract_image_chips()
- {
- dlib::rand rnd;
-
- // Make sure that cropping a white box out of a larger white image always produces an
- // exact white box. This should catch any bad border effects from a messed up internal
- // cropping.
- for (int iter = 0; iter < 1000; ++iter)
- {
- print_spinner();
- const long nr = rnd.get_random_32bit_number()%100 + 1;
- const long nc = rnd.get_random_32bit_number()%100 + 1;
- const long size = rnd.get_random_32bit_number()%10000 + 4;
- const double angle = rnd.get_random_double() * pi;
-
- matrix<int> img(501,501), chip;
- img = 255;
- chip_details details(centered_rect(center(get_rect(img)),nr,nc), size, angle);
- extract_image_chip(img, details, chip);
- DLIB_TEST_MSG(max(abs(chip-255))==0,"nr: " << nr << " nc: "<< nc << " size: " << size << " angle: " << angle
- << " error: " << max(abs(chip-255)) );
- }
-
-
- {
- // Make sure that the interpolation in extract_image_chip() keeps stuff in the
- // right places.
-
- matrix<unsigned char> img(10,10), chip;
- img = 0;
- img(1,1) = 255;
- img(8,8) = 255;
-
- extract_image_chip(img, chip_details(get_rect(img), 9*9), chip);
-
- DLIB_TEST(chip(1,1) == 195);
- DLIB_TEST(chip(7,7) == 195);
- chip(1,1) -= 195;
- chip(7,7) -= 195;
- DLIB_TEST(sum(matrix_cast<int>(chip)) == 0);
- }
-
-
-
- // Test the rotation ability of extract_image_chip(). Do this by drawing a line and
- // then rotating it so it's horizontal. Check that it worked correctly by hough
- // transforming it.
- hough_transform ht(151);
- matrix<unsigned char> img(300,300);
- for (int iter = 0; iter < 1000; ++iter)
- {
- print_spinner();
- img = 0;
- const int len = 9000;
- point cent = center(get_rect(img));
- point l = cent + point(len,0);
- point r = cent - point(len,0);
- const double angle = rnd.get_random_double()*pi*3;
- l = rotate_point(cent, l, angle);
- r = rotate_point(cent, r, angle);
- draw_line(img, l, r, 255);
-
-
- const long wsize = rnd.get_random_32bit_number()%350 + 150;
-
- matrix<unsigned char> temp;
- chip_details details(centered_rect(center(get_rect(img)), wsize,wsize), chip_dims(ht.size(),ht.size()), angle);
- extract_image_chip(img, details, temp);
-
-
- matrix<long> tform;
- ht(temp, get_rect(temp), tform);
- std::pair<point,point> line = ht.get_line(max_point(tform));
-
- DLIB_TEST_MSG(line.first.y() == line.second.y()," wsize: " << wsize);
- DLIB_TEST(length(line.first-line.second) > 100);
- DLIB_TEST(length((line.first+line.second)/2.0 - center(get_rect(temp))) <= 1);
- }
-
- }
-
-// ----------------------------------------------------------------------------------------
-
- class image_tester : public tester
- {
- public:
- image_tester (
- ) :
- tester ("test_image",
- "Runs tests on the image processing objects and functions.")
- {}
-
- void perform_test (
- )
- {
- image_test();
- run_hough_test();
- test_extract_image_chips();
- test_integral_image<long, unsigned char>();
- test_integral_image<double, int>();
- test_integral_image<long, unsigned char>();
- test_integral_image<double, float>();
-
- test_zero_border_pixels();
-
- test_filtering<unsigned char>(false,1);
- test_filtering<unsigned char>(true,1);
- test_filtering<unsigned char>(false,3);
- test_filtering<unsigned char>(true,3);
- test_filtering<int>(false,1);
- test_filtering<int>(true,1);
- test_filtering<int>(false,3);
- test_filtering<int>(true,3);
-
- test_label_connected_blobs();
- test_label_connected_blobs2();
- test_downsampled_filtering();
-
- test_segment_image<unsigned char>();
- test_segment_image<unsigned short>();
- test_segment_image<double>();
- test_segment_image<int>();
- test_segment_image<rgb_pixel>();
- test_segment_image<rgb_alpha_pixel>();
-
- test_dng_floats<float>(1);
- test_dng_floats<double>(1);
- test_dng_floats<long double>(1);
- test_dng_floats<float>(1e30);
- test_dng_floats<double>(1e30);
- test_dng_floats<long double>(1e30);
-
- test_dng_float_int();
-
- dlib::rand rnd;
- for (int i = 0; i < 10; ++i)
- {
- // the spatial filtering stuff is the same as xcorr_same when the filter
- // sizes are odd.
- test_filtering2(3,3,rnd);
- test_filtering2(5,5,rnd);
- test_filtering2(7,7,rnd);
- }
-
- for (int i = 0; i < 100; ++i)
- test_filtering_center<float>(rnd);
- for (int i = 0; i < 100; ++i)
- test_filtering_center<int>(rnd);
- for (int i = 0; i < 100; ++i)
- test_separable_filtering_center<int>(rnd);
- for (int i = 0; i < 100; ++i)
- test_separable_filtering_center<float>(rnd);
-
- {
- print_spinner();
- matrix<unsigned char> img(40,80);
- assign_all_pixels(img, 255);
- skeleton(img);
-
- DLIB_TEST(sum(matrix_cast<int>(mat(img)))/255 == 40);
- draw_line(img, point(20,19), point(59,19), 00);
- DLIB_TEST(sum(matrix_cast<int>(mat(img))) == 0);
- }
- }
- } a;
-
-}
-
-
-
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