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I understand that there is some resizing due to convolutions, can't i obtain mask with the same size as the input image ?
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@Jayanth-L I think so, so I just added white frame removal using ImageChops (piece of code below) and then cv2.resize() to the end of the pipeline:
def trim(im): bg = Image.new(im.mode, im.size, im.getpixel((0,0))) diff = ImageChops.difference(im, bg) diff = ImageChops.add(diff, diff, 2.0, -100) bbox = diff.getbbox() if bbox: return im.crop(bbox)
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I understand that there is some resizing due to convolutions, can't i obtain mask with the same size as the input image ?
The text was updated successfully, but these errors were encountered: