Comments (1)
Hi William, thanks for the remark. This was just a naming issue and should be fixed now. Besides, I also added the larger template (with more vertices). Best, Fabi
from vox2cortex.
Related Issues (20)
- Mesh Normalisation to original coordinate space HOT 1
- weights for segmentations? HOT 1
- About figure3 in the paper HOT 2
- About the template HOT 2
- How to exactly perform inference with more vertices with the model trained with fewer vertices? HOT 1
- Possiblity to train with extremely anisotrpic images HOT 4
- Chamfer distance parameters HOT 1
- Evaluation resolutions? Whether the dice is calculated in the preprocessed space or in the original resolution? HOT 1
- Cannot find the executables 'reg_aladin' and 'reg_resample' in the abdomen preprocessing folder HOT 1
- Implementation for V2C-Flow
- AbdomentCT-1K
- Datasets
- compiling with gpu support HOT 2
- RuntimeError: stack expects each tensor to be equal size, but got [4, 40962, 3] at entry 0 and [4, 36685, 3] at entry 1 HOT 7
- Training time? HOT 5
- Warning ... _white_reduced_0.3.thickness could not be found, inserting dummy HOT 1
- loss = self.training_step(model, data, iteration) seems to fail for larger meshes GPU memory explosion HOT 2
- nvcc fatal : Unsupported gpu architecture 'compute_86'
- No 'ChamferAndNormalsAndCurvatureLoss' HOT 1
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from vox2cortex.