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import os
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import json
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import argparse
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import numpy as np
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import pandas as pd
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from tqdm import tqdm
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from easydict import EasyDict as edict
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from concurrent.futures import ThreadPoolExecutor
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('--output_dir', type=str, required=True,
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help='Directory to save the metadata')
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parser.add_argument('--filter_low_aesthetic_score', type=float, default=None,
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help='Filter objects with aesthetic score lower than this value')
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parser.add_argument('--model', type=str, default='dinov2_vitl14_reg_slat_enc_swin8_B_64l8_fp16',
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help='Latent model to use')
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parser.add_argument('--num_samples', type=int, default=50000,
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help='Number of samples to use for calculating stats')
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opt = parser.parse_args()
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opt = edict(vars(opt))
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if os.path.exists(os.path.join(opt.output_dir, 'metadata.csv')):
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metadata = pd.read_csv(os.path.join(opt.output_dir, 'metadata.csv'))
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else:
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raise ValueError('metadata.csv not found')
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if opt.filter_low_aesthetic_score is not None:
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metadata = metadata[metadata['aesthetic_score'] >= opt.filter_low_aesthetic_score]
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metadata = metadata[metadata[f'latent_{opt.model}'] == True]
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sha256s = metadata['sha256'].values
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sha256s = np.random.choice(sha256s, min(opt.num_samples, len(sha256s)), replace=False)
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means = []
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mean2s = []
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with ThreadPoolExecutor(max_workers=16) as executor, \
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tqdm(total=len(sha256s), desc="Extracting features") as pbar:
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def worker(sha256):
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try:
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feats = np.load(os.path.join(opt.output_dir, 'latents', opt.model, f'{sha256}.npz'))
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feats = feats['feats']
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means.append(feats.mean(axis=0))
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mean2s.append((feats ** 2).mean(axis=0))
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pbar.update()
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except Exception as e:
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print(f"Error extracting features for {sha256}: {e}")
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pbar.update()
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executor.map(worker, sha256s)
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executor.shutdown(wait=True)
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mean = np.array(means).mean(axis=0)
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mean2 = np.array(mean2s).mean(axis=0)
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std = np.sqrt(mean2 - mean ** 2)
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print('mean:', mean)
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print('std:', std)
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with open(os.path.join(opt.output_dir, 'latents', opt.model, 'stats.json'), 'w') as f:
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json.dump({
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'mean': mean.tolist(),
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'std': std.tolist(),
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}, f, indent=4)
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