Comments (1)
I never trained it on a single 3090GPU, so I don't know the exact time. Using the default parameters, it may cost 3 to 4 days for a complete training, 1 or 2 minuts for one test sample. It really depends on your expectation of performance, e.g., the second or the third training day may improve slightly, less ensemble/DPM-solver can speed up inference but with performance compromise
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Related Issues (20)
- 部署过程中遇到问题 HOT 2
- There are a lot of bugs in the code, can someone give you a working code?
- How to integrate the official version of DPM-Solver into Medsegdiff? HOT 1
- how to deal with StopIteration HOT 1
- three model.pt HOT 1
- Sample result is not a binary mask HOT 1
- pretraining model
- 这个程序的训练模块要运行多少时间? HOT 1
- Why is the effect of using dpm-solver not good?
- DDIT dataloaders / config
- What are these losses calculated separately
- some question about V1 version HOT 2
- Question about the wrong output when trying BraTS20 in MedSegDiff V2 code HOT 2
- Where is the code of SS-former HOT 2
- which .pt should I use to sample? HOT 2
- How long will you use to train the model? HOT 3
- Do you have any trained model weights that you can share? HOT 1
- I want to know which part of the code the image size is in
- help! run the model on my own dataset, visdom show nothing. and have this erro: WARNING:root:Setting up a new session... [W socket.cpp:697] [c10d] The client socket has failed to connect to [DESKTOP-BP72V]:55472 (system error: 10049 - �����������У�������ĵ�ַ��Ч��).
- Meaning of the high_way parameter
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