KeyError: "There is no item named 'val2017/000000397133.jpg' in the archive"

[longpeace]

I have prepared the coco2017 dataset as the format of .zip.
But when I run the test command
python tools/valid.py --cfg experiments/coco/w32/w32_4x_reg03_bs10_512_adam_lr1e-3_coco_x140.yaml TEST.MODEL_FILE model/pose_coco/pose_dekr_hrnetw32_coco.pth ,
I faced with the error:
Traceback (most recent call last):
File "tools/valid.py", line 212, in
main()
File "tools/valid.py", line 134, in main
for i, images in enumerate(data_loader):
File "/root/anaconda3/envs/dekr/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 517, in next
data = self._next_data()
File "/root/anaconda3/envs/dekr/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 557, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/root/anaconda3/envs/dekr/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/root/anaconda3/envs/dekr/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/root/lzj/DEKR/tools/../lib/dataset/COCODataset.py", line 104, in getitem
cv2.IMREAD_COLOR | cv2.IMREAD_IGNORE_ORIENTATION
File "/root/lzj/DEKR/tools/../lib/utils/zipreader.py", line 53, in imread
data = _im_zfile[-1]['zipfile'].read(path_img)
File "/root/anaconda3/envs/dekr/lib/python3.7/zipfile.py", line 1465, in read
with self.open(name, "r", pwd) as fp:
File "/root/anaconda3/envs/dekr/lib/python3.7/zipfile.py", line 1504, in open
zinfo = self.getinfo(name)
File "/root/anaconda3/envs/dekr/lib/python3.7/zipfile.py", line 1431, in getinfo
'There is no item named %r in the archive' % name)
KeyError: "There is no item named 'val2017/000000397133.jpg' in the archive"
Do you have any idea to solve it?
Thanks a lot.

[longpeace]

By the way,I met the same problem #18
ncclSystemError: System call (socket, malloc, munmap, etc) failed.
running the train commandpython tools/train.py --cfg experiments/coco/w32/w32_4x_reg03_bs10_512_adam_lr1e-3_coco_x140.yaml