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 | 1 | initial version |
step 1: use the builtin help:
>>> help(np.ones)
step 2: it needs a shape and a type here, so something like:
a = np.ones((h,w,c),np.uint8)
caveat: with multi-channel (c>1) Mat's opencv will only fill the 1st channel with 1, the others are left at 0 (to be compliant with complex data), while numpy will fill all of them with 1