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53 lines
1.5 KiB
53 lines
1.5 KiB
"""
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compress processed LMDB
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"""
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import argparse
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import io
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import multiprocessing as mp
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import numpy as np
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import lmdb
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from tqdm import tqdm
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import msgpack
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import msgpack_numpy
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msgpack_numpy.patch()
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def compress_dump(item):
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key, dump = item
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img_dump = {k.decode('utf-8'): v for k, v in msgpack.loads(dump).items()}
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with io.BytesIO() as writer:
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np.savez_compressed(writer, **img_dump, allow_pickle=True)
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return key, writer.getvalue()
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def main(opts):
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if opts.db[-1] == '/':
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opts.db = opts.db[:-1]
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out_name = f'{opts.db}_compressed'
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env = lmdb.open(opts.db, readonly=True)
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txn = env.begin()
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out_env = lmdb.open(out_name, map_size=1024**4)
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out_txn = out_env.begin(write=True)
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with mp.Pool(opts.nproc) as pool, tqdm(total=txn.stat()['entries']) as pbar:
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for i, (key, value) in enumerate(
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pool.imap_unordered(compress_dump, txn.cursor(),
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chunksize=128)):
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out_txn.put(key=key, value=value)
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if i % 1000 == 0:
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out_txn.commit()
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out_txn = out_env.begin(write=True)
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pbar.update(1)
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out_txn.commit()
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out_env.close()
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument("--db", default=None, type=str,
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help="processed LMDB")
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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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