Comments (12)
@Pedro-Abreu Thanks a lot, but Im using PyTorch atm. For anyone that may be interested, you can download the caffe pretrained weights and convert them to pytorch weights using parse_caffe.py in
tsn-pytorch/tf_model_zoo/bninception.
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Hi, did you have any luck with that?
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I have .hdf5 files for TF/Keras if you want.
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@Pedro-Abreu can you share them with me. Email address [email protected]
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@ekazakos Thanks man, I might switch to Pytorch eventually :). @fmthoker https://drive.google.com/drive/folders/13TaIjogd2ReNsKXNJ55o3_qsDWB5KlkM?usp=sharing here you go.
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Thanks to folks! Do you mind sharing it to other users?
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@yjxiong Sure, will do soon!
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Everyone, you can find the pretrained Kinetics weights for TSN that I converted to work with PyTorch here: https://drive.google.com/drive/folders/1R4n8vSQJ0LtB1mPhhjMHEQrKj3UDQS1U?usp=sharing
Load the weights normally with:
state_dict = torch.load(pretrained)
If you are using Pytorch 0.4 do:
for k, v in state_dict.items():
state_dict[k] = torch.squeeze(v, dim=0)
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Thanks! Do you mind we sharing the files in the project website?
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@yjxiong It is totally fine.
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Everyone, you can find the pretrained Kinetics weights for TSN that I converted to work with PyTorch here: https://drive.google.com/drive/folders/1R4n8vSQJ0LtB1mPhhjMHEQrKj3UDQS1U?usp=sharing
Load the weights normally with:
state_dict = torch.load(pretrained)
If you are using Pytorch 0.4 do:
for k, v in state_dict.items():
state_dict[k] = torch.squeeze(v, dim=0)
@ekazakos
Hello, thanks for sharing the weights. Do you have RGB Difference pretrained weights as well?
Another question, have you used BNInception or other architecture?
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@AhmedGamal1496 Im really sorry for the very late answer, I do not know how I missed this one. I do not have RGB Difference. And yes I've used only BN-Inception.
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Related Issues (20)
- Error: return int(self._data[1]) IndexError: list index out of range
- what is the command of RGB and Flow modality fusion? HOT 2
- what is the command of RGB and Flow modality fusion? Thanks!! HOT 3
- How to fuse the scores from both RGB and FLOW on training and testing? HOT 1
- No module named 'mmaction.datasets.utils' HOT 1
- 请问经过模型后的输出是什么格式呢? HOT 2
- weried phenomenon about using main.py train ucf101 dataset HOT 1
- error about epoch print statement when i use the main.py to train with ucf101 dataset HOT 1
- RuntimeError: bool value of non-empty torch.cuda.ByteTensor objects is ambiguous
- getting 84% in ucf101 on split 1 HOT 2
- RuntimeError: Legacy autograd function HOT 1
- The score of rgb and flow
- Solved
- video live test?
- Training the TSN model on custom dataset - couldn't implement as mentioned in paper HOT 1
- Why subtract 'new_length' to calculate 'average_duration' ?
- Need pre-trained ActivityNet weights for Pytorch
- 报错求助magic_number = pickle_module.load(f, **pickle_load_args) _pickle.UnpicklingError: invalid load key, '<'.(困扰我很久了救救孩子吧)) HOT 2
- f**k-est implementation HOT 3
- mean() received an invalid combination of arguments - got (Tensor, list, keepdim=bool), but expected one of: * (Tensor input) * (Tensor input, torch.dtype dtype) * (Tensor input, int dim, torch.dtype dtype, Tensor out) * (Tensor input, int dim, bool keepdim, torch.dtype dtype, Tensor out) * (Tensor input, int dim, bool keepdim, Tensor out)
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