Delete src/anime_super_resolution/old-train.py
Browse files
src/anime_super_resolution/old-train.py
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import sys
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import os
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import subprocess
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import argparse
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import yaml
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import shutil
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# Get the absolute path to the Real-ESRGAN directory
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real_esrgan_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'third_party', 'Real-ESRGAN'))
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def train(args):
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# Ensure the config file exists
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if not os.path.exists(args.config):
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raise FileNotFoundError(f"Configuration file {args.config} not found")
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# Read the YAML config file to get the experiment name
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with open(args.config, 'r') as f:
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config_data = yaml.safe_load(f)
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experiment_name = config_data.get('name', 'default_experiment')
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# Set up environment for subprocess
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env = os.environ.copy()
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env['PYTHONPATH'] = f"{real_esrgan_dir}{os.pathsep}{env.get('PYTHONPATH', '')}"
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# Execute the Real-ESRGAN training command
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try:
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command = [
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sys.executable, # Use the current Python executable
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os.path.join(real_esrgan_dir, 'realesrgan', 'train.py'),
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'-opt', args.config
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]
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if args.auto_resume:
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command.append('--auto_resume')
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subprocess.run(command, env=env, check=True) # Pass the modified environment
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# Move the entire experiment directory to output_model_dir
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if args.output_model_dir:
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source_dir = os.path.join(real_esrgan_dir, 'experiments', experiment_name)
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target_dir = os.path.abspath(args.output_model_dir)
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# Create target directory if it doesn't exist
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os.makedirs(target_dir, exist_ok=True)
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# Move the entire source directory to target
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if os.path.exists(source_dir):
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shutil.move(source_dir, target_dir)
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print(f"Moved experiment directory from {source_dir} to {args.output_model_dir}")
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else:
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print(f"Warning: Source directory {source_dir} does not exist")
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except subprocess.CalledProcessError as e:
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print(f"Training failed with error: {e}")
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sys.exit(1)
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except Exception as e:
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print(f"Error moving directory: {e}")
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sys.exit(1)
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if __name__ == "__main__":
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# Parse command-line arguments
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parser = argparse.ArgumentParser(description='Run Real-ESRGAN training with specified config')
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parser.add_argument('--config', type=str, default='configs/Real-ESRGAN-Anime-finetuning.yml',
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help='Path to the configuration YAML file')
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parser.add_argument('--auto_resume', action='store_true',
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help='Automatically resume training from the latest checkpoint')
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parser.add_argument('--output_model_dir', type=str, default='ckpts',
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help='Path to move experiment directory after training')
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args = parser.parse_args()
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train(args)
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