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So, eyeLike (and pyeLike) are the most accurate and fast solutions. I fed a bunch of test images and there were some failures, but I can deal with them applying face_recognition library https://github.com/ageitgey/face_recognition (wrapper around dlib) to extract eye region and then to reduce it even more to leave only inner area of the eye, and also applying img = cv2.equalizeHist(img) (but do it only after extracting the inner region of the eye, otherwise it can make eyeLike work worse).
could you add a way to call the find eyes function from python? tat would be very helpfull
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