Related Issues (20)
- I am working on a binary segmentation task. After preprocessing, I found that in the preprocessing folder, the numpy format files not only contain regions labeled as 0 and 1, but also regions with -1. I am quite puzzled by this. Could you please help me understand? tank uπ€ HOT 2
- IndexError: βindex 26 is out of bounds for axis 0 with size 26β after training on MPS device, model not saved HOT 1
- Error during nnUNet preprocessing with Brats2023 Dataset HOT 1
- Installing nnUNet overwrites current torch version which causes compatability issues with torchaudio/torchvision/cuda HOT 3
- nnUNetPredictor should have a seperate option to return predictions
- Adding Option for Evaluation with Diverse Confidence Thresholds HOT 2
- predict fail
- Background workers died HOT 1
- Error while trying to run evaluate_folder on ground truth data and predictions on test data HOT 4
- Query on Using Validation Set as Test Set in nnUNet Framework HOT 4
- data preparing for gray scale HOT 4
- New error on windows: RuntimeError: Encountered inf in predicted array
- UnboundLocalError: local variable 'region_labels' referenced before assignment in "Region-based training" HOT 4
- RuntimeError: Some background workers are no longer alive HOT 6
- 3D segmentation issue : IndexError: index 2 is out of bounds for axis 0 with size 2
- 3D orientation
- Region-based training cannot be used with ensemble HOT 1
- Pseudo dice [0.0, 0.0, 0.0, nan, nan] HOT 4
- Guidance on Deploying nnUNetv2 Model HOT 1
- Some segmentation images contained unexpected labels
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