Comments (1)
Hey @Zhack47. My first thought is that maybe I used a Tesla A100 40GB for baselining the S model without any checkpointing, and that your GPU is different. If that doesn't help, I can share my remaining setup.
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Related Issues (16)
- Deep supervision HOT 2
- Valid accuracy HOT 4
- Problem of training. HOT 12
- about batch_size HOT 2
- replace nnunetv2's with MedNeXt v1 have some problems HOT 1
- Unable to reproduce the results for the AMOS and BraTS datasets HOT 1
- Please provide the trained model weights HOT 2
- low training speed on S3DIS? HOT 2
- several import errors HOT 2
- nnUNet_plan_and_preprocess: command not found HOT 3
- How to train MedNeXt HOT 2
- Cannot find 'nnunet_mednext.network_architecture.custom_modules.custom_networks' HOT 2
- Excessive GPU memory consumption HOT 2
- hello, can you upload both the trained weights or the predicted results of MedNeXt on KiTS19 datasets? It may not cost your extra time. Becasue we will compare your results at qualitative and quantitative aspects. Thanks! HOT 1
- About the "self.stem = nn.Conv3d(in_channels, n_channels, kernel_size=1)" HOT 6
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