Let stitch take --grid AxB.
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1 changed files with 57 additions and 19 deletions
76
stitch.py
76
stitch.py
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@ -17,29 +17,55 @@ def stitch_argparse(args):
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patterns = pipeable.input_many(args.image_files, skip_blank=True, strip=True)
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patterns = pipeable.input_many(args.image_files, skip_blank=True, strip=True)
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files = pathclass.glob_many_files(patterns)
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files = pathclass.glob_many_files(patterns)
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images = [PIL.Image.open(file.absolute_path) for file in files]
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images = [PIL.Image.open(file.absolute_path) for file in files]
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if args.vertical:
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direction = VERTICAL
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if args.grid:
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(grid_x, grid_y) = [int(part) for part in args.grid.split('x')]
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if grid_x * grid_y < len(images):
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pipeable.stderr(f'Your grid {grid_x}x{grid_y} is too small for {len(images)} images.')
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return 1
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elif args.vertical:
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grid_x = 1
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grid_y = len(images)
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else:
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else:
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direction = HORIZONTAL
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grid_x = len(images)
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grid_y = 1
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gapcount = len(images) - 1
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# We produce a 2D list of images which will become their final arrangement,
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# and calculate the size of each row and column to accommodate the largest
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if direction is HORIZONTAL:
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# member of each.
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width = sum(i.size[0] for i in images) + (gapcount * args.gap)
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arranged_images = [[] for y in range(grid_y)]
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height = max(i.size[1] for i in images)
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column_widths = [1 for x in range(grid_x)]
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else:
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row_heights = [1 for x in range(grid_y)]
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width = max(i.size[0] for i in images)
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index_x = 0
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height = sum(i.size[1] for i in images) + (gapcount * args.gap)
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index_y = 0
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final_image = PIL.Image.new('RGBA', [width, height])
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offset = 0
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for image in images:
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for image in images:
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if direction is VERTICAL:
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arranged_images[index_y].append(image)
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final_image.paste(image, (0, offset))
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column_widths[index_x] = max(column_widths[index_x], image.size[0])
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offset += image.size[1] + args.gap
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row_heights[index_y] = max(row_heights[index_y], image.size[1])
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if args.vertical:
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index_y += 1
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(bump_x, index_y) = divmod(index_y, grid_y)
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index_x += bump_x
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else:
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else:
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final_image.paste(image, (offset, 0))
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index_x += 1
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offset += image.size[0] + args.gap
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(bump_y, index_x) = divmod(index_x, grid_x)
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index_y += bump_y
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final_width = sum(column_widths) + ((grid_x - 1) * args.gap)
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final_height = sum(row_heights) + ((grid_y - 1) * args.gap)
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final_image = PIL.Image.new('RGBA', [final_width, final_height])
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offset_y = 0
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for (index_y, row) in enumerate(arranged_images):
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offset_x = 0
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for (index_x, image) in enumerate(row):
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pad_x = int((column_widths[index_x] - image.size[0]) / 2)
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pad_y = int((row_heights[index_y] - image.size[1]) / 2)
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final_image.paste(image, (offset_x + pad_x, offset_y + pad_y))
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offset_x += column_widths[index_x]
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offset_x += args.gap
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offset_y += row_heights[index_y]
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offset_y += args.gap
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log.info(args.output)
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log.info(args.output)
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final_image.save(args.output)
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final_image.save(args.output)
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@ -52,8 +78,20 @@ def main(argv):
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parser.add_argument('image_files', nargs='+')
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parser.add_argument('image_files', nargs='+')
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parser.add_argument(
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parser.add_argument(
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'--output',
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'--output',
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metavar='filename',
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required=True,
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required=True,
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)
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)
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parser.add_argument(
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'--grid',
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metavar='AxB',
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help='''
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Stitch the images together in grid of A columns and B rows. Your
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numbers A and B should be such that A*B is larger than the number
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of input images. If you add --horizontal, the images will be arranged
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left-to-right first, then top-to-bottom. If you add --vertical, the
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images will be arranged top-to-bottom first then left-to-right.
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''',
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)
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parser.add_argument(
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parser.add_argument(
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'--horizontal',
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'--horizontal',
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action='store_true',
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action='store_true',
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