Datasets:
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5bbe62a | 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 | import os
import sys
import subprocess
from concurrent.futures import ThreadPoolExecutor
output_dir = 'target_imgs_v73'
def process_skin(skin_id):
input_path = f'skins/{skin_id}.png'
output_path = f'{output_dir}/{skin_id}.png'
if not os.path.exists(output_path):
print(f"Starting process for skin: {skin_id}...")
# Run build_target_img.py as a separate subprocess using sys.executable
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 i in os.listdir('skins'):
if i.endswith('.png') and not i.startswith('.'):
iset.add(i.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() |