compute the euclidean distances between the two sets of
# vertical eye landmarks (x, y)-coordinates
A = dist.euclidean(eye[1], eye[5])
B = dist.euclidean(eye[2], eye[4])
# compute the euclidean distance between the horizontal
# eye landmark (x, y)-coordinates
C = dist.euclidean(eye[0], eye[3])
# compute the eye aspect ratio
ear = (A + B) / (2.0 * C)
# return the eye aspect ratio
return ear
Are the ret landmarks suitable to compute EAR？ more see https://pyimagesearch.com/2017/04/24/eye-blink-detection-opencv-python-dlib/ def eye_aspect_ratio(eye):
compute the euclidean distances between the two sets of