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import os
import argparse
import glob
import operator
from shutil import rmtree
from PIL import Image
parser = argparse.ArgumentParser()
parser.add_argument('--step', default=256, type=int)
parser.add_argument('--overlap', default=4, type=int)
parser.add_argument('--scale', default=1, type=int)
parser.add_argument('cmd', metavar='crop', help='Command')
parser.add_argument('dir', metavar='dir', help='Directory to process')
args = parser.parse_args()
def crop_dir():
step = args.step - args.overlap
files = glob.glob('{}/*.png'.format(args.dir))
img = Image.open(files[0])
width, height = img.size
print("{}x{} {}".format(width, height, step))
for x in range(0, width, step):
for y in range(0, height, step):
w = min(args.step, width - x)
h = min(args.step, height - y)
crop_dir = "{}/crop_{}_{}_{}_{}".format(args.dir, x, y, w, h)
if os.path.exists(crop_dir):
rmtree(crop_dir)
os.makedirs(crop_dir)
for raw_fn in files:
img = Image.open(raw_fn)
fn = os.path.basename(raw_fn)
for x in range(0, width, step):
for y in range(0, height, step):
w = min(args.step, width - x)
h = min(args.step, height - y)
crop_dir = "{}/crop_{}_{}_{}_{}".format(args.dir, x, y, w, h)
print("{}x{} {}x{}".format(x, y, w, h))
crop = img.crop((x, y, x + w, y + h))
crop.save("{}/{}".format(crop_dir, fn))
def split_crop_dir(fn):
crop, x, y, w, h = os.path.basename(fn).split("_")
return int(x), int(y), int(w), int(h)
def create_mask(overlap, x, y, w, h):
mask_img = Image.new('L', (w, h,), "white")
mask = mask_img.load()
if x > 0:
for i in range(0, overlap, 1):
for j in range(0, h, 1):
mask[i, j] = (int((i / overlap) * mask[i, j]),)
if y > 0:
for i in range(0, w, 1):
for j in range(0, overlap, 1):
mask[i, j] = (int((i / overlap) * mask[i, j]),)
return mask_img
def merge_dir():
overlap = args.overlap * args.scale
crop_dirs = glob.glob("{}/crop_*".format(args.dir))
merge_dir = "{}/merged".format(args.dir)
os.makedirs(merge_dir, exist_ok=True)
ww = 0
hh = 0
masks = {}
crop_dir_list = []
widths = []
heights = []
for crop_dir in crop_dirs:
x, y, w, h = split_crop_dir(crop_dir)
# print("{} {} {} {}".format(x, y, w, h))
if x not in widths:
overlap = args.overlap
if x == 0:
overlap = 0
ww += (w - overlap) * args.scale
widths.append(x)
if y not in heights:
overlap = args.overlap
if x == 0:
overlap = 0
hh += (h - overlap) * args.scale
heights.append(y)
# print(w, h)
mask = create_mask(overlap, x, y, w * args.scale, h * args.scale)
masks[os.path.basename(crop_dir)] = mask
crop_dir_list.append((x, y, w, h,))
crop_dir_list = sorted(crop_dir_list, key=operator.itemgetter(0, 1))
print("{}x{}".format(ww, hh))
files = sorted(glob.glob("{}/*.png".format(crop_dirs[0])))
for file in files:
fn = os.path.basename(file)
print(fn)
canvas = Image.new('RGB', (ww, hh,))
for crop_dir_tuple in crop_dir_list:
x, y, w, h = crop_dir_tuple
crop_dir = "crop_{}_{}_{}_{}".format(x, y, w, h)
image = Image.open("{}/{}/{}".format(args.dir, crop_dir, fn))
mask = masks[crop_dir]
canvas.paste(image, (x * args.scale, y * args.scale,), mask)
canvas.save("{}/{}".format(merge_dir, fn))
if __name__ == "__main__":
if args.cmd == 'crop':
crop_dir()
else:
merge_dir()
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