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jiangtaoxie / fast-MPN-COV

@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.
http://peihuali.org/iSQRT-COV/index.html
MIT License
270 stars 56 forks source link

Downloading problem? #10

Closed abcdvzz closed 5 years ago

abcdvzz commented 5 years ago

When I ran the code finetune.sh, it began to download from jtxie.com while it's too slow. So I decided to use BaiduYun. However, I got the following problem:

Start finetuning! Namespace(arch='mpncovresnet101', batch_size=10, benchmark='CUB', classifier_factor=5, data='/path/to/the/data/CUB', dist_backend='gloo', dist_url='tcp://224.66.41.62:23456', epochs=100, evaluate=False, freezed_layer=0, gpu=1, lr=0.0012, lr_method='step', lr_params=[[100.0]], modeldir='Results/Finetune-CUB-mpncovresnet101-MPNCOV-reproduce-lr1.2e-3-bs10', momentum=0.9, num_classes=200, pretrained=True, print_freq=100, representation='MPNCOV', resume='Results/Finetune-CUB-mpncovresnet101-MPNCOV-reproduce-lr1.2e-3-bs10/mpncovresnet101-ade9737a.pth.tar', seed=None, start_epoch=0, store_model_everyepoch=False, weight_decay=0.0001, workers=8, world_size=1) main.py:127: UserWarning: You have chosen a specific GPU. This will completely disable data parallelism. warnings.warn('You have chosen a specific GPU. This will completely ' => loading checkpoint 'Results/Finetune-CUB-mpncovresnet101-MPNCOV-reproduce-lr1.2e-3-bs10/mpncovresnet101-ade9737a.pth.tar' Traceback (most recent call last): File "main.py", line 503, in <module> main() File "main.py", line 206, in main checkpoint = torch.load(args.resume) File "/home/yzzc/.local/lib/python3.5/site-packages/torch/serialization.py", line 358, in load return _load(f, map_location, pickle_module) File "/home/yzzc/.local/lib/python3.5/site-packages/torch/serialization.py", line 527, in _load return legacy_load(f) File "/home/yzzc/.local/lib/python3.5/site-packages/torch/serialization.py", line 441, in legacy_load tar.extract('storages', path=tmpdir) File "/usr/lib/python3.5/tarfile.py", line 2027, in extract tarinfo = self.getmember(member) File "/usr/lib/python3.5/tarfile.py", line 1738, in getmember raise KeyError("filename %r not found" % name) KeyError: "filename 'storages' not found" How can I solve this problem?

abcdvzz commented 5 years ago

The mpnconvresnet50-15991845.pth is ok but resnet101 one still has the problem.

jiangtaoxie commented 5 years ago

mpncovresnet101-ade9737a.pth is not checkpoint file. Please put the model into ~/.torch/models/ and try it again.

abcdvzz commented 5 years ago

mpncovresnet101-ade9737a.pth is not checkpoint file. Please put the model into ~/.torch/models/ and try it again.

I did so. I did the same operation to resnet50 model and it worked. But it is not fit for the resnet101 one.

jiangtaoxie commented 5 years ago

@abcdvzz I didn't reproduce this problem. I uploaded a new model, you can try it, code: rurg Please fell free if you want to reopen this issue.

OrkhanHI commented 5 years ago

I am unable to download mpncovresnet50-15991845.pth from http://jtxie.com/models/mpncovresnet50-15991845.pth because the web-site does not work.

Is anybody able to send me that pth file?

jiangtaoxie commented 5 years ago

@OrkhanHI Hi, you can download it in this path Google Drive

OrkhanHI commented 5 years ago

@jiangtaoxie thank you!

hturki commented 4 years ago

Is there anywhere we can get mpncovresnet101-ade9737a.pth that's not from baidu? I'm having difficulties creating an account from overseas. Thank you!