Comments (4)
hkchengrex
commented on July 26, 2024
You need to clone the repo (git clone). It is fine just to comment it out though.
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panzuwang
commented on July 26, 2024
谢谢您的回复，我还有一个问题，如果我想在在一台3090gpu上运行您的多GPU训练文件train.py，除了改batch-size外不做其他修改通过以下命令运行：CUDA_VISIBLE_DEVICES=0 OMP_NUM_THREADS=4 python -m torch.distributed.launch --nproc_per_node=1 train.py --id retrain_s0 --stage 0 这是否有什么问题？期待您的回复，谢谢！
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hkchengrex
commented on July 26, 2024
It should be fine.
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panzuwang
commented on July 26, 2024
我明白了，谢谢您的解答！
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Related Issues (20)
- STCN 代码中的一些问题 HOT 4
- 只在视频数据集上训练的结果 HOT 2
- questions regard training the model HOT 2
- youtube 2019上的测试结果 HOT 17
- For evaluation HOT 1
- How to get the results based on Youtube VOS 2019? HOT 1
- May I ask if the experiment must be trained on multiple GPUs? HOT 1
- How to check DAVIS2016 validation set HOT 1
- How can I evaluate daivs17 test-dev performance? HOT 1
- How to put mask to image for YouTube datasets HOT 2
- When training on single 4090, the GPU Util fluctuates a lot and the time estimated for training is very long. HOT 6
- About top-k filtering HOT 1
- Why is normalization necessary in Equation 1? HOT 3
- A simple question HOT 4
- How to train this model on my own dataset? HOT 1
- Is there a pretrained stage-0 .pth model? HOT 2
- STCN training Step - Log HOT 8
- About Calculating the Affinity HOT 2
- Test with my own dataset HOT 2
- Training About HOT 2
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