I've got an image loaded in grayscale via img = cv2.imread("myimg.jpg", 0).
Examining the value of img after loading, it's an ndarray that looks like this:
[[53,53,58,...,62,66,70],
[52,52,57,...,68,68,90],
...,
[80,80,80,...,91,92,91],
[81,82,80,...,90,91,93]]
Trying to crop out a chunk of it using cropped = img[top:bottom, left:right] where top, bottom, left and right are all integers.
However, cropped is winding up as an empty ndarray.
Why would this be?
You are trying to split your array while supplying top = 337 and bottom = 271. Numpy works the other way around. Try to split it like this: img[bottom:top, left:right] or just invert the values of top and bottom so that you have img[a:b, c:d] with a < b and c < d.