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OSUPCVLab / SegFormer3D

Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPR 2024)
https://openaccess.thecvf.com/content/CVPR2024W/DEF-AI-MIA/papers/Perera_SegFormer3D_An_Efficient_Transformer_for_3D_Medical_Image_Segmentation_CVPRW_2024_paper.pdf
GNU General Public License v3.0
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visualization\data\TUMOR #9

Open diangu001 opened 11 months ago

diangu001 commented 11 months ago

How to test visualization\data\TUMOR? I don't Know。 I only Know how to train!

bnavard commented 11 months ago

Please see the visualization section and download the file. You can modify however you want to visualize the the result by editing viz.py

diangu001 commented 11 months ago

Thanks you very much! I know viz.py but I don't Know how to get test result. I can run train and val (run_experiment.py) but I don't Know how to run test.py.

microchila commented 3 months ago

@bnavard how to test?