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Hello, I'm very sorry to disturb you. I didn't see nnUNetTrainerLightMUNet being used in the code, it has always been nnUNetTrainer. Could you tell me where nnUNetTrainerLightMUNet is being used? Thank you very much.
The text was updated successfully, but these errors were encountered:
It is passed as an argument during training as mentioned in the README:
nnUNetv2_train DATASET_ID 2d all -tr nnUNetTrainerLightMUNet
By default nnUNetv2_train uses nnUNetTrainer, and if you want to incorporate a custom model such as LightM-UNet, a quick and dirty way is to write a custom trainer that will train using your custom model. All other stages in the pipeline (data preprocessing and augmentation) remain the same, except the model training. Please take a look at the nnUNet documentation - Extending nnUNet.
It is passed as an argument during training as mentioned in the README:
nnUNetv2_train DATASET_ID 2d all -tr nnUNetTrainerLightMUNet
By default nnUNetv2_train uses nnUNetTrainer, and if you want to incorporate a custom model such as LightM-UNet, a quick and dirty way is to write a custom trainer that will train using your custom model. All other stages in the pipeline (data preprocessing and augmentation) remain the same, except the model training. Please take a look at the nnUNet documentation - Extending nnUNet.
Thank you very much for your answer. With your help, I have started modifying my own model.
Hello, I'm very sorry to disturb you. I didn't see nnUNetTrainerLightMUNet being used in the code, it has always been nnUNetTrainer. Could you tell me where nnUNetTrainerLightMUNet is being used? Thank you very much.
The text was updated successfully, but these errors were encountered: