OSUPCVLab / SegFormer3D

Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPRW 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 4 months ago

diangu001 commented 4 months ago

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

bnavard commented 4 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 4 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.