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from PIL import Image, ImageFilter, ImageOps |
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def get_crop_region_v2(mask, pad=0): |
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""" |
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Finds a rectangular region that contains all masked ares in a mask. |
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Returns None if mask is completely black mask (all 0) |
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Parameters: |
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mask: PIL.Image.Image L mode or numpy 1d array |
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pad: int number of pixels that the region will be extended on all sides |
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Returns: (x1, y1, x2, y2) | None |
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Introduced post 1.9.0 |
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""" |
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mask = mask if isinstance(mask, Image.Image) else Image.fromarray(mask) |
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if box := mask.getbbox(): |
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x1, y1, x2, y2 = box |
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return (max(x1 - pad, 0), max(y1 - pad, 0), min(x2 + pad, mask.size[0]), min(y2 + pad, mask.size[1])) if pad else box |
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def get_crop_region(mask, pad=0): |
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""" |
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Same function as get_crop_region_v2 but handles completely black mask (all 0) differently |
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when mask all black still return coordinates but the coordinates may be invalid ie x2>x1 or y2>y1 |
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Notes: it is possible for the coordinates to be "valid" again if pad size is sufficiently large |
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(mask_size.x-pad, mask_size.y-pad, pad, pad) |
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Extension developer should use get_crop_region_v2 instead unless for compatibility considerations. |
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""" |
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mask = mask if isinstance(mask, Image.Image) else Image.fromarray(mask) |
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if box := get_crop_region_v2(mask, pad): |
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return box |
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x1, y1 = mask.size |
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x2 = y2 = 0 |
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return max(x1 - pad, 0), max(y1 - pad, 0), min(x2 + pad, mask.size[0]), min(y2 + pad, mask.size[1]) |
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def expand_crop_region(crop_region, processing_width, processing_height, image_width, image_height): |
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"""expands crop region get_crop_region() to match the ratio of the image the region will processed in; returns expanded region |
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for example, if user drew mask in a 128x32 region, and the dimensions for processing are 512x512, the region will be expanded to 128x128.""" |
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x1, y1, x2, y2 = crop_region |
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ratio_crop_region = (x2 - x1) / (y2 - y1) |
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ratio_processing = processing_width / processing_height |
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if ratio_crop_region > ratio_processing: |
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desired_height = (x2 - x1) / ratio_processing |
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desired_height_diff = int(desired_height - (y2-y1)) |
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y1 -= desired_height_diff//2 |
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y2 += desired_height_diff - desired_height_diff//2 |
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if y2 >= image_height: |
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diff = y2 - image_height |
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y2 -= diff |
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y1 -= diff |
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if y1 < 0: |
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y2 -= y1 |
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y1 -= y1 |
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if y2 >= image_height: |
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y2 = image_height |
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else: |
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desired_width = (y2 - y1) * ratio_processing |
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desired_width_diff = int(desired_width - (x2-x1)) |
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x1 -= desired_width_diff//2 |
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x2 += desired_width_diff - desired_width_diff//2 |
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if x2 >= image_width: |
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diff = x2 - image_width |
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x2 -= diff |
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x1 -= diff |
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if x1 < 0: |
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x2 -= x1 |
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x1 -= x1 |
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if x2 >= image_width: |
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x2 = image_width |
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return x1, y1, x2, y2 |
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def fill(image, mask): |
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"""fills masked regions with colors from image using blur. Not extremely effective.""" |
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image_mod = Image.new('RGBA', (image.width, image.height)) |
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image_masked = Image.new('RGBa', (image.width, image.height)) |
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image_masked.paste(image.convert("RGBA").convert("RGBa"), mask=ImageOps.invert(mask.convert('L'))) |
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image_masked = image_masked.convert('RGBa') |
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for radius, repeats in [(256, 1), (64, 1), (16, 2), (4, 4), (2, 2), (0, 1)]: |
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blurred = image_masked.filter(ImageFilter.GaussianBlur(radius)).convert('RGBA') |
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for _ in range(repeats): |
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image_mod.alpha_composite(blurred) |
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return image_mod.convert("RGB") |
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