Comments (5)
Hi,
The script works for me, the file test.csv is available on server. Where does "%0D" comes from at the end of your link ?
from closerlookfewshot.
You can also directly go to the GitHub page to download it.
https://github.com/twitter/meta-learning-lstm/tree/master/data/miniImagenet
from closerlookfewshot.
Hi,
The script works for me, the file test.csv is available on server. Where does "%0D" comes from at the end of your link ?
Thanks for your comment.
This error message was generated by my shell, and I just copied it to here. I didn't notice '%0D' was attached behind original link, and it may be the cause. But I'm sure that the redundant string doesn't exist in my script and it throws error message above when I run. I copied the link of test.csv to my web browser and it throw '404 not found' to me yesterday. However it works well now. I think there may be something wrong with my network yesterday but it restores now.
from closerlookfewshot.
You can also directly go to the GitHub page to download it.
https://github.com/twitter/meta-learning-lstm/tree/master/data/miniImagenet
Thanks for your help
from closerlookfewshot.
Hi, I try to download and preprocess the miniImageNet refer to #29 instead of original ImageNet because it's too large, and I download train.csv, val.csv, test.csv from the link: https://github.com/twitter/meta-learning-lstm/tree/master/data/miniImagenet
But I got the following error when running write_miniImagenet_filelist.py:
Traceback (most recent call last):
File "write_miniImagenet_filelist.py", line 39, in
fname_number = [ int(re.split('|.', fname)[1]) for fname in fnames]
File "write_miniImagenet_filelist.py", line 39, in
fname_number = [ int(re.split('|.', fname)[1]) for fname in fnames]
ValueError: invalid literal for int() with base 10: 'jpg'
Is there any problem in my procedure?
from closerlookfewshot.
Related Issues (20)
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from closerlookfewshot.