140 lines
3.8 KiB
Python
140 lines
3.8 KiB
Python
'''
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resize
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======
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Resize image files.
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> resize pattern new_w new_h <flags>
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pattern:
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Glob pattern for input files.
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new_w,
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new_h:
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New dimensions for the image. If either of these is 0, then that
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dimension will be calculated by resizing the other side while keeping the
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aspect ratio.
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flags:
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--inplace:
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Overwrite the input files, instead of creating _WxH names.
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--nearest:
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Use nearest-neighbor scaling to preserve pixelated images.
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--only_shrink:
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If the input image is smaller than the requested dimensions, do nothing.
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Useful when globbing in a directory with many differently sized images.
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--quality X:
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JPEG compression quality.
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--scale X:
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Use this option instead of new_w, new_h. Scale the image by factor X.
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'''
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import argparse
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import PIL.Image
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import sys
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from voussoirkit import betterhelp
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from voussoirkit import imagetools
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from voussoirkit import pathclass
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from voussoirkit import pipeable
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from voussoirkit import vlogging
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log = vlogging.getLogger(__name__, 'resize')
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def resize(
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filename,
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new_w=None,
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new_h=None,
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*,
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inplace=False,
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nearest_neighbor=False,
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only_shrink=False,
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quality=100,
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scale=None,
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):
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file = pathclass.Path(filename)
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image = PIL.Image.open(file.absolute_path)
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(image_width, image_height) = image.size
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if new_w is not None and new_h is not None:
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pass
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elif scale:
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new_w = int(image_width * scale)
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new_h = int(image_height * scale)
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if new_w == 0:
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(new_w, new_h) = imagetools.fit_into_bounds(
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image_width,
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image_height,
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10000000,
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new_h,
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only_shrink=only_shrink,
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)
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if new_h == 0:
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(new_w, new_h) = imagetools.fit_into_bounds(
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image_width,
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image_height,
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new_w,
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10000000,
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only_shrink=only_shrink,
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)
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log.debug('Resizing %s to %dx%d.', file.absolute_path, new_w, new_h)
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if nearest_neighbor:
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image = image.resize( (new_w, new_h), PIL.Image.NEAREST)
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else:
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image = image.resize( (new_w, new_h), PIL.Image.ANTIALIAS)
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if inplace:
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new_name = file
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else:
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suffix = '_{width}x{height}'.format(width=new_w, height=new_h)
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base = file.replace_extension('').basename
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new_name = base + suffix + file.extension.with_dot
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new_name = file.parent.with_child(new_name)
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if new_name.extension == '.jpg':
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image = image.convert('RGB')
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pipeable.stdout(new_name.absolute_path)
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image.save(new_name.absolute_path, exif=image.getexif(), quality=quality)
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def resize_argparse(args):
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patterns = pipeable.input(args.pattern, skip_blank=True, strip=True)
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files = pathclass.glob_many_files(patterns)
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for file in files:
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resize(
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file,
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args.new_w,
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args.new_h,
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inplace=args.inplace,
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nearest_neighbor=args.nearest_neighbor,
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only_shrink=args.only_shrink,
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quality=args.quality,
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scale=args.scale,
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)
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return 0
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@vlogging.main_decorator
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def main(argv):
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument('pattern')
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parser.add_argument('new_w', nargs='?', type=int, default=None)
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parser.add_argument('new_h', nargs='?', type=int, default=None)
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parser.add_argument('--inplace', action='store_true')
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parser.add_argument('--nearest', dest='nearest_neighbor', action='store_true')
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parser.add_argument('--only_shrink', '--only-shrink', action='store_true')
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parser.add_argument('--scale', type=float, default=None)
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parser.add_argument('--quality', type=int, default=100)
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parser.set_defaults(func=resize_argparse)
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return betterhelp.single_main(argv, parser, __doc__)
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if __name__ == '__main__':
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raise SystemExit(main(sys.argv[1:]))
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