Comments (1)
Try the following:
- uninstall TractSeg with pip
- clone the TractSeg code
- navigate into the TractSeg code folder
- do
pip install -e .
This will install TractSeg from your local source code and the installation will always be updated when you change the local code. Now you can edit My_custom_experiment.py and it should work.
from tractseg.
Related Issues (20)
- tracking with XTRACT bundles HOT 2
- Tracking command: Different order of streamline vertices for left and ride sight HOT 6
- ModuleNotFoundError: No module named 'tractseg.experiments.custom.My_custom_experiment' HOT 2
- A lzma warning in the docker HOT 2
- 98 instead of 100 segments HOT 1
- Out of application memory when training the model in terminal HOT 6
- apply_brain_mask.py HOT 1
- Docker image build issue HOT 4
- Unable to save weights after training the model with my own data HOT 3
- Error could not find file when plot_tractometry_results via docker HOT 7
- Unable to find MitkFiberDirectionExtraction.sh file HOT 2
- New questions about alignment to MNI image HOT 2
- Calculate mean FA of a specific tract HOT 2
- Generating 'mean/average' tracvis(.trk) file for just visualization purpose HOT 3
- Bundle segmentations ok, but TOM trackings absent HOT 8
- Index Error while training own Model HOT 2
- Problems with training own models for start&end regions and TOMs HOT 4
- Bundle segmentation are not right for some participants while the same processing script is used HOT 7
- Tractometry outputs 50 tracts only HOT 1
- Tractometry results: suboptimal alignment of tracts across subjects? HOT 3
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from tractseg.