lightningdot
copied
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Readme
Files and versions
54 lines
1.5 KiB
54 lines
1.5 KiB
2 years ago
|
"""
|
||
|
compress processed LMDB
|
||
|
"""
|
||
|
import argparse
|
||
|
import io
|
||
|
import multiprocessing as mp
|
||
|
|
||
|
import numpy as np
|
||
|
import lmdb
|
||
|
from tqdm import tqdm
|
||
|
|
||
|
import msgpack
|
||
|
import msgpack_numpy
|
||
|
msgpack_numpy.patch()
|
||
|
|
||
|
|
||
|
def compress_dump(item):
|
||
|
key, dump = item
|
||
|
img_dump = {k.decode('utf-8'): v for k, v in msgpack.loads(dump).items()}
|
||
|
with io.BytesIO() as writer:
|
||
|
np.savez_compressed(writer, **img_dump, allow_pickle=True)
|
||
|
return key, writer.getvalue()
|
||
|
|
||
|
|
||
|
def main(opts):
|
||
|
if opts.db[-1] == '/':
|
||
|
opts.db = opts.db[:-1]
|
||
|
out_name = f'{opts.db}_compressed'
|
||
|
env = lmdb.open(opts.db, readonly=True)
|
||
|
txn = env.begin()
|
||
|
out_env = lmdb.open(out_name, map_size=1024**4)
|
||
|
out_txn = out_env.begin(write=True)
|
||
|
with mp.Pool(opts.nproc) as pool, tqdm(total=txn.stat()['entries']) as pbar:
|
||
|
for i, (key, value) in enumerate(
|
||
|
pool.imap_unordered(compress_dump, txn.cursor(),
|
||
|
chunksize=128)):
|
||
|
out_txn.put(key=key, value=value)
|
||
|
if i % 1000 == 0:
|
||
|
out_txn.commit()
|
||
|
out_txn = out_env.begin(write=True)
|
||
|
pbar.update(1)
|
||
|
out_txn.commit()
|
||
|
out_env.close()
|
||
|
|
||
|
|
||
|
if __name__ == '__main__':
|
||
|
parser = argparse.ArgumentParser()
|
||
|
parser.add_argument("--db", default=None, type=str,
|
||
|
help="processed LMDB")
|
||
|
parser.add_argument('--nproc', type=int,
|
||
|
help='number of cores used')
|
||
|
args = parser.parse_args()
|
||
|
main(args)
|