Comments (5)
yjxiong
commented on July 21, 2024
1
This codebase is written in Python 2.7.
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cmhungsteve
commented on July 21, 2024
I think I found the reason. In the newest Python, the output of filter is just iterator, so we need to add list() out of filter.
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cmhungsteve
commented on July 21, 2024
I also found that in the newest PyTorch, the dimension will be changed after some calculation like mean, sum, etc. We need to explicitly add keep_dim=True in the inputs.
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yjxiong
commented on July 21, 2024
This TSN repo stands as the first step in our migration from Caffe to PyTorch. So it was written earlier in Python2.7 and PyTorch 0.1.2. I will upgrade it when I got some time.
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cmhungsteve
commented on July 21, 2024
That would be awesome!! Looking forward to the update.
Thank you.
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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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