62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
from pathlib import Path
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import shutil
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from loop_alphapose_training import run_cmd, Iteration
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import logging
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import coloredlogs
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logger = logging.getLogger(__name__)
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coloredlogs.install(level=logging.INFO)
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def collate(iterations):
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path = Path(f'out/test_imgs_{iterations[1].nr}/vis')
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images = [x for x in path.iterdir() if x.is_file()]
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for img in images:
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logger.info(f"collate {img.name}")
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target_dir = Path(f'out/test_imgs_loops/{img.stem}/')
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target_dir.mkdir(parents=True, exist_ok=True)
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for iteration in iterations:
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try:
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src = Path(f'out/test_imgs_{iteration.nr}/vis/') / img.name
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target = target_dir / (iteration.nr + img.suffix)
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logger.info(f"\tcopy {src} to {target}")
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shutil.copy(src, target)
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except Exception as e:
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logger.exception(e)
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# collate([Iteration(i) for i in range(2,7)])
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# exit()
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if __name__ == '__main__':
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i = 0
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iterations = []
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while True:
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i+=1
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iteration = Iteration(i)
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path = iteration.model_path()
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if not path.exists():
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logger.warning(f"Model for iteration {iteration.nr} doesn't exist")
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break
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iterations.append(iteration)
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cmd = [
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'python', 'scripts/demo_inference.py',
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'--cfg', str(iteration.training_config_path()),
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'--checkpoint', str(iteration.model_path()),
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'--gpus', '0',
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'--format', 'coco',
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'--indir', 'data/test_imgs',
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'--outdir', f'/out/test_imgs_{iteration.nr}',
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'--save_img'
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]
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logger.info(f"Running {cmd}")
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run_cmd(cmd, in_docker=True)
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# break
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collate(iterations)
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