cmd/resize.py
Ethan Dalool 4a9051e617
Big migrations and linting.
With pathclass.glob_many, we can clean up and feel more confident
about many programs that use pipeable to take glob patterns.

Added return 0 to all programs that didn't have it, so we have
consistent and explicit command line return values.

Other linting and whitespace.
2021-09-23 23:42:45 -07:00

137 lines
3.8 KiB
Python

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