-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathmain.py
208 lines (181 loc) · 9.56 KB
/
main.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
from PIL import Image, ImageSequence
from concurrent.futures import ThreadPoolExecutor
from glob import glob
from re import findall
from requests import get as req_get
from shutil import move as shutil_move
from time import time
from tqdm import tqdm
import argparse
import os
import sys
class gifEnlarger:
class imageProcessing:
def __init__(self, args, config, image_handler):
self.args = args
self.cfg_init = config
self.FILE_HANDLER = image_handler
def magnification(self, image_size):
if self.args.dimension < max(image_size):
magnify = 1
else:
magnify = int(self.args.dimension / max(image_size))
if self.args.limit:
if magnify > self.args.limit:
magnify = self.args.limit
return magnify
def gif_palette_handler(self, frame):
alpha_channel = frame.getchannel('A')
frame_mask = Image.eval(alpha_channel, lambda a: 255 if a <= 128 else 0)
frame = frame.convert('P').quantize(colors=256, dither=Image.NONE)
frame.info['transparency'] = 0
frame.paste(0, frame_mask)
return frame
def disasm(self, img_name, frame_list, frame_delay_list):
frame_cnt = 0
try:
with Image.open(img_name) as img:
mag_size = self.magnification(img.size)
for frame in ImageSequence.Iterator(img):
if 'duration' in frame.info:
frame_delay = min(frame.info.get('duration', 0), 65535)
else:
frame_delay = 0
frame = self.resizing(mag_size, frame)
if self.args.output == 'gif':
frame = self.gif_palette_handler(frame)
frame_list.append(frame)
frame_delay_list.append(frame_delay)
frame_cnt += 1
except FileNotFoundError:
print(f'Unable to open "{img_name}". (Possible reason: File being deleted / Repeated downloads.)')
except Exception as e:
print(f"Error processing {img_name}: {e}")
def resizing(self, mag, img_obj):
img_obj = img_obj.resize(
(img_obj.width * mag, img_obj.height * mag), resample=self.cfg_init['resampling'][self.args.resample])
if max(img_obj.width, img_obj.height) > self.args.dimension:
self.args.dimension = max(img_obj.width, img_obj.height)
bg_img = Image.new("RGBA", (self.args.dimension, self.args.dimension), (255, 255, 255, 0))
offset = ((bg_img.width - img_obj.width) // 2,
(bg_img.height - img_obj.height) // 2)
bg_img.paste(img_obj, offset)
return bg_img
def asm(self, frames, delays, name_out):
if self.args.input == self.args.output:
saving_filename = f'__new_tmp_imgs__{name_out}.{self.args.output}'
else:
saving_filename = f'{name_out}.{self.args.output}'
disposal_type = 2 if self.args.output == 'gif' else 1
frames[0].save(
saving_filename,
format=self.args.output,
save_all=True,
append_images=frames[1:],
duration=delays,
disposal=disposal_type,
loop=0)
return saving_filename
def image_processor(self, name):
frame_list = []
frame_delay_list = []
try:
pure_name = name.replace(f'.{self.args.input}', '')
self.disasm(name, frame_list, frame_delay_list)
if len(frame_list) and len(frame_delay_list):
output_img_name = self.asm(frame_list, frame_delay_list, pure_name)
self.FILE_HANDLER.mov2dir(output_img_name, f"{self.cfg_init['out_dir']}_{self.args.output}")
else:
print(f"No frames to process for {name}, skipping.")
if self.args.online:
try:
os.remove(name)
except FileNotFoundError:
pass
except Exception as e:
print(f"An error occurred while deleting {name}: {e}")
except Exception as e:
print(f"Error processing {name}: {e}")
class fileHandler:
def __init__(self, config: dict):
self.cfg_init = config
def img_download(self, request_content) -> list:
urls = findall(r'https?://[^\s"]+', request_content)
print(f'\n{len(urls)} images will be downloaded.\n')
retrieved_images = []
for img_url in urls:
response = req_get(img_url)
img_name = os.path.basename(img_url)
if response.status_code == 200:
with open(img_name, 'wb') as f:
f.write(response.content)
retrieved_images.append(img_name)
return retrieved_images
def mov2dir(self, saved_file, dest_dir):
target_path = f'./{dest_dir}'
if not os.path.exists(target_path):
os.makedirs(target_path)
resulting = f'{target_path}/{saved_file}'
shutil_move(saved_file, resulting.replace('__new_tmp_imgs__', ''))
def download_mode_move(self, dl_imgs):
if not os.path.exists(f"./{self.cfg_init['download_dir']}"):
os.makedirs(f"./{self.cfg_init['download_dir']}")
for dls in dl_imgs:
try:
shutil_move(dls, f"{self.cfg_init['download_dir']}/{dls}")
except FileNotFoundError:
print(f'\n{dls} does not exist, unable to move to directory "downloads" (Possible reason: Repeated downloading from inserted URLs.)')
def __init__(self):
self.cfg_init = {
'dimension': 512,
'mag': 12,
'in': 'gif',
'out': 'png',
'out_dir': 'enlarged',
'download_dir': 'downloads',
'resampling': (Image.Resampling.NEAREST, Image.Resampling.BOX,
Image.Resampling.BILINEAR, Image.Resampling.HAMMING,
Image.Resampling.BICUBIC, Image.Resampling.LANCZOS)
}
self.parsed_args = self.args_defining()
self.file_handler = self.fileHandler(self.cfg_init)
self.processor = self.imageProcessing(self.parsed_args, self.cfg_init, self.file_handler)
def args_defining(self):
parser = argparse.ArgumentParser()
ME_flags = parser.add_mutually_exclusive_group()
parser.add_argument('-d', '--dimension', type=int, default=self.cfg_init['dimension'], metavar='',
help='Dimension of the output apng (Default=512px, Min.=Source image size)')
parser.add_argument('-l', '--limit', type=int, default=self.cfg_init['mag'], metavar='',
help='Limit of the maximum magnification (Default=12, No limit=0)')
ME_flags.add_argument('-n', '--online', default=False, action='store_true',
help='Using online image with URL as source')
parser.add_argument('-i', '--input', type=str, default=self.cfg_init['in'], metavar='', choices=['png', 'gif', 'webp'],
help='Input images format (Default = gif)')
parser.add_argument('-o', '--output', type=str, default=self.cfg_init['out'], metavar='', choices=['png', 'gif', 'webp'],
help='Output images format (Default = png)')
parser.add_argument('-r', '--resample', type=int, default=0, metavar='',
help='Set the type of image interpolation (Default = NEAREST), Details: https://pillow.readthedocs.io/en/stable/handbook/concepts.html#filters')
ME_flags.add_argument('-g', '--download', default=False, action='store_true',
help='Download the online images only (without anying enlargement)')
return parser.parse_args()
def gif_enlarger_main(self):
self.args_defining()
if self.parsed_args.online or self.parsed_args.download:
print('URLs (Press Ctrl + Z on a new line to finish for Windows): ')
content_urls = sys.stdin.read()
downloaded_images = self.file_handler.img_download(content_urls)
if self.parsed_args.download:
self.file_handler.download_mode_move(downloaded_images)
return
t_start = time()
src_img_list = glob(f'*.{self.parsed_args.input}') if not self.parsed_args.online else downloaded_images
with ThreadPoolExecutor(max_workers=os.cpu_count()*2) as executor:
list(tqdm(executor.map(self.processor.image_processor, src_img_list), desc="Processing Images", total=len(src_img_list), unit="img"))
t_end = time()
print(f"Task Done in {round(t_end-t_start, 2)}s.")
if __name__ == '__main__':
try:
enlarger = gifEnlarger()
enlarger.gif_enlarger_main()
except KeyboardInterrupt:
print('\nProcess terminated.')