traffic sign detection with HOG feature and SVM model
see details in my blog: https://blog.csdn.net/sinat_34474705/article/details/80502789
- numpy
- opencv >= 3.0
- skimage
- sklearn
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test_image.py: detect the signs on an image.
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test_video.py: detect the signs on a video.
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test_dir.py: detec the images in a directory (save the result in a txt file).
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evaluation.py: compute the precision and recall based on the detect result txt file, which needs the label txt file (generated by tools/preprocess_traffic_signs.py)