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