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Rorisis / Co-Occ

[IEEE RA-L] Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction
https://ieeexplore.ieee.org/document/10517470
Apache License 2.0
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sum(results['SC_metric']) KeyError: 'SC_metric' #11

Open zyxcambridge opened 1 week ago

zyxcambridge commented 1 week ago

[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 6016/6019, 1.2 task/s, elapsed: 4902s, ETA: 2s Evaluating nuScenes occupancy: SC IoU = 0.408, SSC mIoU = 0.202 [>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 6017/6019, 1.2 task/s, elapsed: 4903s, ETA: 2s Evaluating nuScenes occupancy: SC IoU = 0.408, SSC mIoU = 0.202 [>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 6018/6019, 1.2 task/s, elapsed: 4903s, ETA: 1s Evaluating nuScenes occupancy: SC IoU = 0.408, SSC mIoU = 0.202 [>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 6019/6019, 1.2 task/s, elapsed: 4904s, ETA: 0sTraceback (most recent call last): File "tools/test.py", line 317, in main() File "tools/test.py", line 313, in main print(dataset.evaluate(outputs, eval_kwargs)) File "/home/zyx/code/Co-Occ/projects/mmdet3d_plugin/datasets/nuscenes_lss_dataset.py", line 207, in evaluate return self.evaluate_ssc(results, logger, kwargs) File "/home/zyx/code/Co-Occ/projects/mmdet3d_plugin/datasets/nuscenes_lss_dataset.py", line 165, in evaluate_ssc evaluation_semantic = sum(results['SC_metric']) KeyError: 'SC_metric'

Rorisis commented 1 week ago

Thanks for your question. You may consider using "bash tools/dist_test.sh $YOUR_CONFIG $YOUR_CKPT $GPU_NUM" as we update our guidance file.