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 | 1 | initial version |
You can simply use numpy to do this.
image = np.zeros((400,400,3), dtype="uint8")
image[np.where((image==[0,0,0]).all(axis=2))] = [255,255,255]
This will change all pixels in image that have a value of [0,0,0] to [255,255,255].
Best regards
| | 2 | No.2 Revision |
You can simply use numpy to do this.
image = np.zeros((400,400,3), dtype="uint8")
image[np.where((image==[0,0,0]).all(axis=2))] = [255,255,255]
This will change all pixels in image that have a value of [0,0,0] to [255,255,255].
After your inRange() operation you get an image in black and white, so you have just one color channel. In that case you have to use:
image[np.where((image==[0]).all(axis=1))] = [255]
This will change all rows in your image that are completely black to white. To change not only the rows that are completely black omit the call to numpy.all(). Use:
image[np.where(image == [0])] = [255]
Best regards