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diff --git a/ml/dlib/tools/imglab/README.txt b/ml/dlib/tools/imglab/README.txt new file mode 100644 index 00000000..3f0ca92a --- /dev/null +++ b/ml/dlib/tools/imglab/README.txt @@ -0,0 +1,40 @@ +imglab is a simple graphical tool for annotating images with object bounding +boxes and optionally their part locations. Generally, you use it when you want +to train an object detector (e.g. a face detector) since it allows you to +easily create the needed training dataset. + +You can compile imglab with the following commands: + cd dlib/tools/imglab + mkdir build + cd build + cmake .. + cmake --build . --config Release +Note that you may need to install CMake (www.cmake.org) for this to work. On a +unix system you can also install imglab into /usr/local/bin by running + sudo make install +This will make running it more convenient. + +Next, to use it, lets assume you have a folder of images called /tmp/images. +These images should contain examples of the objects you want to learn to +detect. You will use the imglab tool to label these objects. Do this by +typing the following command: + ./imglab -c mydataset.xml /tmp/images +This will create a file called mydataset.xml which simply lists the images in +/tmp/images. To add bounding boxes to the objects you run: + ./imglab mydataset.xml +and a window will appear showing all the images. You can use the up and down +arrow keys to cycle though the images and the mouse to label objects. In +particular, holding the shift key, left clicking, and dragging the mouse will +allow you to draw boxes around the objects you wish to detect. + +Once you finish labeling objects go to the file menu, click save, and then +close the program. This will save the object boxes back to mydataset.xml. You +can verify this by opening the tool again with: + ./imglab mydataset.xml +and observing that the boxes are present. + + +imglab can do a few additional things. To see these run: + imglab -h +and also read the instructions in the About->Help menu. + |