Comments (1)
yjxiong
commented on July 21, 2024
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It depends on how you will use the features. For video features just average over time. For frame features just extraction from each snippet.
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No. It should be very easy to write it with PyTorch on your own.
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In testing we use 25 as the standard testing protocol. You are not limited to using this number.
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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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