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zhanghang1989 / ResNeSt

ResNeSt: Split-Attention Networks
https://arxiv.org/abs/2004.08955
Apache License 2.0
3.23k stars 496 forks source link

pretrained model #152

Open DAVID-Hown opened 3 years ago

DAVID-Hown commented 3 years ago

hi, can i download pretrained-resnest50 model? How download? https://s3.us-west-1.wasabisys.com/resnest/torch/528c19ca-resnest50.pth current web indicate:

AccessDenied Access Denied 66677888F1B8A228 NNL/PYCnt6kBWWsz9AZtiiP2oEWj900zqgz+4hHApj5Ce4Hs6Prm+bq7T9Sy7hoRghY1RKT1ytXV
zhanghang1989 commented 3 years ago

Hi, sorry about that. Wasabi cloud has a rule of limited downloading volume. I am looking for other solutions

lumiaomiao commented 3 years ago

Hi, sorry about that. Wasabi cloud has a rule of limited downloading volume. I am looking for other solutions

@zhanghang1989 I ran into the same problem. You could use the Lark instead.

zhanghang1989 commented 3 years ago

Hi @DAVID-Hown could you try https://dl.dropboxusercontent.com/s/fi72lae1exon3o4/resnest50-528c19ca.pth?dl=0

lumiaomiao commented 3 years ago

Hi @DAVID-Hown could you try https://dl.dropboxusercontent.com/s/fi72lae1exon3o4/resnest50-528c19ca.pth?dl=0

@zhanghang1989 Could you update the link of https://s3.us-west-1.wasabisys.com/resnest/detectron/faster_cascade_rcnn_ResNeSt_101_FPN_syncbn_range-scale_1x-3627ef78.pth please?

wsm0302 commented 3 years ago

@zhanghang1989 Hello, I tried to put the previously downloaded files in this link, but the program still reported the error, prompting this error. I found that this scheme is your model updated?

resnest50-528c19ca.pth：C:\Users\Station.cache\torch\checkpoints TypeError: load_state_dict_from_url() got an unexpected keyword argument 'check_hash' failed solution: https://www.pythonheidong.com/blog/article/764703/e0183406d6b93fd7e78a/

zhanghang1989 commented 3 years ago

I think your pytorch is out-of-date

Kenny-Li2023 commented 3 years ago

hi, can i download pretrained-ResNeSt50 model in ImageNet ? How download?

zhanghang1989 commented 3 years ago

Follow the instruction here, it should be working now https://github.com/zhanghang1989/ResNeSt#pytorch-models