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Andrew Senetar
7ba8aa3514
- Format all files with black - Update tox.ini flake8 arguments to be compatible - Add black to requirements-extra.txt - Reduce ignored flake8 rules and fix a few violations
123 lines
4.3 KiB
Python
123 lines
4.3 KiB
Python
# Created By: Virgil Dupras
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# Created On: 2006/09/01
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# Copyright 2015 Hardcoded Software (http://www.hardcoded.net)
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#
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# This software is licensed under the "GPLv3" License as described in the "LICENSE" file,
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# which should be included with this package. The terms are also available at
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# http://www.gnu.org/licenses/gpl-3.0.html
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from ._block import NoBlocksError, DifferentBlockCountError, avgdiff, getblocks2 # NOQA
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# Converted to C
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# def getblock(image):
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# """Returns a 3 sized tuple containing the mean color of 'image'.
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#
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# image: a PIL image or crop.
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# """
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# if image.size[0]:
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# pixel_count = image.size[0] * image.size[1]
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# red = green = blue = 0
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# for r,g,b in image.getdata():
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# red += r
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# green += g
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# blue += b
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# return (red // pixel_count, green // pixel_count, blue // pixel_count)
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# else:
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# return (0,0,0)
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# This is not used anymore
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# def getblocks(image,blocksize):
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# """Returns a list of blocks (3 sized tuples).
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#
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# image: A PIL image to base the blocks on.
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# blocksize: The size of the blocks to be create. This is a single integer, defining
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# both width and height (blocks are square).
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# """
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# if min(image.size) < blocksize:
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# return ()
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# result = []
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# for i in xrange(image.size[1] // blocksize):
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# for j in xrange(image.size[0] // blocksize):
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# box = (blocksize * j, blocksize * i, blocksize * (j + 1), blocksize * (i + 1))
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# crop = image.crop(box)
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# result.append(getblock(crop))
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# return result
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# Converted to C
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# def getblocks2(image,block_count_per_side):
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# """Returns a list of blocks (3 sized tuples).
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#
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# image: A PIL image to base the blocks on.
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# block_count_per_side: This integer determine the number of blocks the function will return.
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# If it is 10, for example, 100 blocks will be returns (10 width, 10 height). The blocks will not
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# necessarely cover square areas. The area covered by each block will be proportional to the image
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# itself.
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# """
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# if not image.size[0]:
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# return []
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# width,height = image.size
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# block_width = max(width // block_count_per_side,1)
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# block_height = max(height // block_count_per_side,1)
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# result = []
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# for ih in range(block_count_per_side):
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# top = min(ih * block_height, height - block_height)
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# bottom = top + block_height
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# for iw in range(block_count_per_side):
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# left = min(iw * block_width, width - block_width)
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# right = left + block_width
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# box = (left,top,right,bottom)
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# crop = image.crop(box)
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# result.append(getblock(crop))
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# return result
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# Converted to C
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# def diff(first, second):
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# """Returns the difference between the first block and the second.
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#
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# It returns an absolute sum of the 3 differences (RGB).
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# """
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# r1, g1, b1 = first
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# r2, g2, b2 = second
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# return abs(r1 - r2) + abs(g1 - g2) + abs(b1 - b2)
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# Converted to C
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# def avgdiff(first, second, limit=768, min_iterations=1):
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# """Returns the average diff between first blocks and seconds.
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#
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# If the result surpasses limit, limit + 1 is returned, except if less than min_iterations
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# iterations have been made in the blocks.
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# """
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# if len(first) != len(second):
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# raise DifferentBlockCountError
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# if not first:
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# raise NoBlocksError
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# count = len(first)
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# sum = 0
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# zipped = izip(xrange(1, count + 1), first, second)
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# for i, first, second in zipped:
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# sum += diff(first, second)
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# if sum > limit * i and i >= min_iterations:
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# return limit + 1
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# result = sum // count
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# if (not result) and sum:
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# result = 1
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# return result
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# This is not used anymore
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# def maxdiff(first,second,limit=768):
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# """Returns the max diff between first blocks and seconds.
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#
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# If the result surpasses limit, the first max being over limit is returned.
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# """
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# if len(first) != len(second):
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# raise DifferentBlockCountError
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# if not first:
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# raise NoBlocksError
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# result = 0
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# zipped = zip(first,second)
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# for first,second in zipped:
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# result = max(result,diff(first,second))
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# if result > limit:
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# return result
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# return result
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