Masking BGR image using a 2D mask
Try to use a mask with the same shape as the image (actually, this will be a 3D mask). After generating your image_mask, do
# create mask with same dimensions as imagemask = numpy.zeros_like(image)# copy your image_mask to all dimensions (i.e. colors) of your imagefor i in range(3): mask[:,:,i] = image_mask.copy()# apply the mask to your imagemasked_image = image[mask]This way I avoid masked arrays in numpy for the time being.
Maybe this alternative approach would be easier in similar cases:
image[image_mask,:] = np.nan