Datasets:
File size: 1,513 Bytes
5bbe62a eb0ee82 5bbe62a d0e5423 eb0ee82 ccfa6b3 eb0ee82 5bbe62a ccfa6b3 eb0ee82 5bbe62a eb0ee82 5bbe62a eb0ee82 5bbe62a ccfa6b3 5bbe62a ccfa6b3 5bbe62a 544fd79 | 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 | import os
from functools import partial
import sys
import subprocess
from concurrent.futures import ThreadPoolExecutor
output_dir = 'target_imgs_v95'
def process_skin(skin_id):
input_path = f'skins/{skin_id}.png'
output_path = f'{output_dir}/{skin_id}.png'
os.makedirs(os.path.dirname(output_path), exist_ok=True)
if not os.path.exists(output_path):
print(f"Starting process for skin: {skin_id}")
result = subprocess.run(
[
sys.executable,
'build_target_img.py',
input_path,
output_path,
],
capture_output=True,
text=True
)
if result.returncode == 0:
print(f"Successfully processed: {skin_id}")
else:
print(f"Error processing skin {skin_id}:")
print(result.stderr or result.stdout)
def main():
os.makedirs(output_dir, exist_ok=True)
iset = set()
for id in os.listdir('skins'):
if id.endswith('.png') and not id.startswith('.'):
iset.add(id.split('.')[0])
# Process skins in parallel using a pool of subprocesses
# Using 4 workers for fast parallel rendering on Mac
max_workers = 4
print(f"Processing {len(iset)} skins using {max_workers} parallel workers...")
with ThreadPoolExecutor(max_workers=max_workers) as executor:
executor.map(
process_skin,
sorted(list(iset))
)
if __name__ == '__main__':
main()
|