Comments (5)
bryanyzhu
commented on May 27, 2024
It should be fine. There is no customized operations or losses, so version of cuda and python doesn't matter.
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WangShuu
commented on May 27, 2024
It should be fine. There is no customized operations or losses, so version of cuda and python doesn't matter.
thanks
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WangShuu
commented on May 27, 2024
I still have one question that which version of pytorch do you use in this repository？
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bryanyzhu
commented on May 27, 2024
Since this repo is done three years ago, I think I did it with pytorch 0.3. It should be compatible with pytorch 0.4, 0.5, 1.0 and 1.1. Starting from pytorch 1.2, there are some API changes that may break the code, but I'm not sure. Maybe just warnings during runtime, feel free to try.
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WangShuu
commented on May 27, 2024
Since this repo is done three years ago, I think I did it with pytorch 0.3. It should be compatible with pytorch 0.4, 0.5, 1.0 and 1.1. Starting from pytorch 1.2, there are some API changes that may break the code, but I'm not sure. Maybe just warnings during runtime, feel free to try.
^_^Thank you so much,i will try it.
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Related Issues (20)
- About pre-trained Model HOT 2
- test video HOT 5
- Question about training the models together HOT 2
- Can you provide your results for loss and accuracy values of spatial and temporal training?
- The number of GPUs? HOT 1
- I use your restnet152 model parameters for testing， but in split_1 the accuracy is only 67.59%.
- Use the video input from the camera for action recognition HOT 7
- Problems about VideoSpatialPrediction.py HOT 2
- How is the two streams fused ? HOT 1
- What is the accuracy of UCF101?
- what's version of pytorch and cuda
- dense_flow 可不可以在windows安装 HOT 1
- 如果没有安装dense_flow，运行build_of.py文件，是不是不会运行出结果 HOT 1
- fusion two stream feature?
- a PROBLEM when using VGG as motion model
- 老师我想问下怎么late fusion呀 HOT 1
- 关于抽帧的图片存放路径 HOT 2
- video sampling rate in training two-stream network
- About parameter --new_length in training RGB videos
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