Comments (4)
we'll release scripts that downloads and converts flownet2-official (from authors) Caffe pre-trained models to PyTorch, which can be used with --resume argument in this repository
we will also provide information about model training from scratch.
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we've added instructions that downloads and converts official caffe-pre-trained models to PyTorch.
https://github.com/NVIDIA/flownet2-pytorch#convert-official-caffe-pre-trained-models-to-pytorch
you may use the converted checkpoints with the --resume
argument in this repository
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@fitsumreda I am also wondering the whether the performance of this code base can match the caffe version flownet2. It would be great if you could share us the related experimental numbers.
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Hi @fitsumreda , thanks for the response. Since installing Caffe on cluster could be messy, can you provide download links for us to get the converted PyTorch models? Like Google Drive or Dropbox.
Also, I am still curious about the performance (training from scratch using this code, and using converted models with this code).
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Related Issues (20)
- Flownet2 model for faces HOT 1
- Thanks for this repository! could you please provide the pretrained model for FlowNet2ss or FlowNet2s (lower-case letters, pytorch)? HOT 2
- AttributeError: Module 'time' has no attribute 'clock'
- 想问下如何跑多个文件
- I cannot load the pretrained FlowNetS
- Training with MultiScale loss
- Should I extact "tar" for FlowNet2_checkpoint.pth.tar ?
- Groundtruth of my dataset!!!
- How to achieve the 3D version of correlation layer?
- CUDA error: the provided PTX was compiled with an unsupported toolchain
- start_epoch argument fix
- Error when training Flownet2S HOT 1
- Wrong calculation of EPE HOT 1
- Installation is a nightmare HOT 3
- TypeError: forward() takes 2 positional arguments but 3 were given,flownetc_flow2 = self.flownetc(x)[0].why!!!!
- cuda version HOT 2
- Segmentation fault
- dimension unmatch problem in model
- No module named 'flownet2_models
- What version of pytorch and cuda should I choose
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