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resize_imageset.py
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resize_imageset.py
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#!/usr/bin/env python
from __future__ import division
import functools
import itertools
import numpy as np
import os
import matplotlib.pyplot as plt
from PIL import Image
try:
from tqdm import tqdm
except ImportError:
print 'module tqdm not found; progress will not be displayed'
def tqdm(gen, *a, **k): return gen
def file_list(root, directory='.', recursive=False):
join = os.path.join
directory_path = join(root, directory)
filenames = os.listdir(directory_path)
out = []
for filename in filenames:
path = join(directory_path, filename)
relative_path = join(directory, filename)
if not os.path.isdir(path):
out.append(relative_path)
elif recursive:
out += file_list(root, directory=relative_path, recursive=True)
return out
def makedirs(root, file_list):
dirs = set(os.path.dirname(os.path.join(root, f)) for f in file_list)
for d in dirs:
if not os.path.exists(d):
os.makedirs(d)
def resize_image(minor_size, in_root, out_root, path,
overwrite=False, format=None, check=False, verbose=False,
strict=False, use_plt=False):
out_full_path = os.path.join(out_root, path)
if format is None:
is_png = (os.path.splitext(path)[1] == 'png')
else:
out_full_path = '%s.%s' % (os.path.splitext(out_full_path)[0], format)
is_png = (format.lower() == 'png')
if (not overwrite) and os.path.exists(out_full_path):
if check:
try:
image = Image.open(out_full_path)
image.load()
assert min(image.size) == minor_size
return
except Exception as e:
print 'Got exception on existing image, removing:', out_full_path
print e.message
if e.message == 'Decompressed Data Too Large':
print 'Trying to save with PLT'
use_plt = True
os.remove(out_full_path)
else:
return
full_path = os.path.join(in_root, path)
try:
image = Image.open(full_path)
except IOError:
print 'IOError on open:', full_path
if strict:
raise
return
size = image.size
orig_minor_size = min(size)
scale_factor = minor_size / orig_minor_size
new_size = tuple(int(round(scale_factor * s)) for s in size)
image.draft(None, new_size)
try:
image = image.resize(new_size, Image.ANTIALIAS)
except IOError:
print 'IOError on resize:', full_path
if strict:
raise
return
if is_png:
image = image.convert('RGB')
if verbose:
print 'Resized image (%s) from %s to %s; saving to file: %s' % \
(full_path, size, image.size, out_full_path)
if use_plt:
plt.imsave(out_full_path, np.array(image, dtype=np.uint8))
else:
image.save(out_full_path, quality=95)
class FakePool(object):
def imap_unordered(self, function, iterable, chunksize=None):
return itertools.imap(function, iterable)
def resize_directory(minor_size, in_root, out_root, pool=FakePool(),
verbose=False, **kwargs):
if verbose: print 'Finding files in input dir: ', in_root
files = file_list(in_root, recursive=args.recursive)
if verbose:
print 'Done. Found %d files:' % len(files)
k = 10
print '\n'.join('\t'+f for f in
(files[:k] + (['...'] if len(files) > k else [])))
print 'Replicating subdir structure in output dir:', out_root
makedirs(out_root, files)
if verbose: print 'Done.'
resize = functools.partial(resize_image, minor_size,
in_root, out_root, **kwargs)
if verbose: print 'Resizing %d images.' % len(files)
iterator = pool.imap_unordered(resize, files, chunksize=10)
for _ in tqdm(iterator, total=len(files)): pass
if verbose: print 'Done.'
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(
description=(
'Resizes a directory of images, with each image resized proportionally '
'such that the shorter edge has a length (# of pixels) specified as '
'`size`.'
'Attempts to load all files as images; skips any file that fails to '
'do so.'
'Resumes from previous partially completed resizes. '
'Use -c to check existing files; otherwise, assume any existing '
'files are valid and opens neither the target, nor the source file.'
'Use `-r` to recurse into subdirectories '
'(duplicating the same subdirectory structure in the '
'output directory).'
'Use, e.g., `-j 2` to parallelize over 2 threads.'))
parser.add_argument('-c', '--check', action='store_true',
help='Check existing images; remove and replace if invalid')
parser.add_argument('-f', '--format',
help='Output format, e.g. "png" or "jpg" '
'(if unspecified, use input format)')
parser.add_argument('-q', '--quiet', action='store_true', help='Quiet')
parser.add_argument('-j', '--jobs', type=int, default=0,
help='Number of processes to do the resizing (0 for serial processing)')
parser.add_argument('-r', '--recursive', action='store_true',
help='Recursively explore subdirectories of the input directory')
parser.add_argument('-o', '--overwrite', action='store_true',
help='Overwrite any existing images (otherwise, skip)')
parser.add_argument('size', type=int,
help='The minor edge size of the output')
parser.add_argument('input_directory',
help='Directory containing input images')
parser.add_argument('output_directory',
help='Directory to be filled with output images')
args = parser.parse_args()
if not args.quiet: print 'Opening pool with %d workers' % args.jobs
if args.jobs == 0:
pool = FakePool()
elif args.jobs >= 1:
from multiprocessing import Pool
pool = Pool(args.jobs)
else:
raise ValueError('--jobs (-j) must be non-negative')
resize_directory(args.size, args.input_directory, args.output_directory,
pool=pool, overwrite=args.overwrite, format=args.format,
check=args.check, verbose=(not args.quiet))