Most efficient way to mask an opencv bgr with a boolean array
Question
I have an image loaded with opencv with img.shape = (208, 117, 3) . I also have a boolean numpy array with mask.shape = (208, 117) . How to I make all pixels in the img (0,0,0) wherever the mask has False, otherwise leave the pixels as they are?
1 answers
solution1
1 ACCPTED 2020-01-04 17:46:46
Answer is
img[~mask,:] = [0,0,0]
That ,: takes care of the other dimension so you don't get mismatch issues.
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