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import webdataset as wds
import glob
import os
from tqdm import tqdm
from tqdm.contrib.concurrent import process_map
import pickle as pkl
def single_thread(filename):
id_table = {}
dataset = wds.WebDataset(filename).decode().to_tuple("json")
for data in dataset:
data = data[0]
image_id = data["caption"].split(".")[0]
image_key = data["key"]
tarfile = os.path.basename(filename)
if image_id not in id_table:
id_table[image_id] = [tarfile, image_key]
return id_table
if __name__ == "__main__":
filenames = sorted(glob.glob("/gpfs/u/home/LMCG/LMCGljnn/scratch-shared/mmc4/images/*.tar"))[:16000]
print("start from", filenames[0])
print("to", filenames[-1])
id_tables = process_map(single_thread, filenames, max_workers=64)
id_table = {}
for table in tqdm(id_tables):
id_table.update(table)
print("total unique image:", len(id_table))
pkl.dump(id_table, open("mmc4_id_table.pkl", "wb"))
print("DONE")
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