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71 lines
2.2 KiB
71 lines
2.2 KiB
"""
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compute adaptive number of bounding boxes
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"""
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import argparse
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import glob
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import json
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from os.path import basename
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import multiprocessing as mp
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import numpy as np
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from tqdm import tqdm
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from cytoolz import curry
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def _compute_nbb(img_dump, conf_th, max_bb, min_bb):
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num_bb = max(min_bb, (img_dump['conf'] > conf_th).sum())
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num_bb = min(max_bb, num_bb)
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return int(num_bb)
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@curry
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def _compute_item(conf_th, max_bb, min_bb, fname):
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name = basename(fname)
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try:
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nbb = _compute_nbb(np.load(fname, allow_pickle=True),
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conf_th, max_bb, min_bb)
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except OSError:
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# some corrupted files in conceptual caption
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nbb = None
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return name, nbb
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def _compute_all_nbb(img_dir, conf_th, max_bb, min_bb, nproc):
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files = glob.glob(f'{img_dir}/*.npz')
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with mp.Pool(nproc) as pool:
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fname2nbb = dict(
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pool.imap_unordered(_compute_item(conf_th, max_bb, min_bb),
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tqdm(files), chunksize=2048))
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return fname2nbb
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def main(opts):
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n2bb = _compute_all_nbb(opts.img_dir, opts.conf_th,
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opts.max_bb, opts.min_bb,
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opts.nproc)
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with open(f'{opts.img_dir}/'
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f'nbb_th{opts.conf_th}_max{opts.max_bb}_min{opts.min_bb}.json',
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'w') as f:
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json.dump(n2bb, f)
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corrupts = [f for f, n in n2bb.items() if n is None]
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if corrupts:
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with open(f'{opts.img_dir}/corrupted.json', 'w') as f:
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json.dump(corrupts, f, indent=4)
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument("--img_dir", default=None, type=str,
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help="The input images.")
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parser.add_argument('--conf_th', type=float, default=0.2,
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help='threshold for dynamic bounding boxes '
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'(-1 for fixed)')
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parser.add_argument('--max_bb', type=int, default=100,
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help='max number of bounding boxes')
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parser.add_argument('--min_bb', type=int, default=10,
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help='min number of bounding boxes')
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parser.add_argument('--nproc', type=int,
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help='number of cores used')
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args = parser.parse_args()
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main(args)
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