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Improvement: Images now download in parallel #2

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Improvement: Images now download in parallel #2

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8a1a3ce
improvement: parallelized images download
gbrls Nov 26, 2021
dcce4a4
newline delete
gbrls Nov 26, 2021
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13 changes: 10 additions & 3 deletions main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,13 +3,16 @@
from pycocotools.coco import COCO
from tqdm import tqdm
import os
import multiprocessing
from joblib import Parallel, delayed

anns_path = './annotations/annotations.json'
dest_path = './images/'



def try_download(source: str, dest: str, name: str):
print(f'downloading {source}')
r = requests.get(source, allow_redirects=True)
if r.ok:
with open(f'{dest}{name}', 'wb') as f:
Expand All @@ -25,9 +28,13 @@ def download(img: dict, dest_path: str):
def main():
dataset = COCO(anns_path)

for img in tqdm(dataset.imgs.values()):
download(img, dest_path)
download_pool = multiprocessing.Pool()

num_cores = multiprocessing.cpu_count()
nimgs = len(tqdm(dataset.imgs.values()))
inputs = tqdm(dataset.imgs.values())

processed_list = Parallel(n_jobs=num_cores)(delayed(download)(img, dest_path) for img in inputs)

if __name__ == '__main__':
main()
main()
2 changes: 2 additions & 0 deletions requirements.txt
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Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
requests
pycocotools
tqdm
multiprocessing
joblib