JichengYUAN
JichengYUAN
I also tried with the command below for “Learning a unified label space”: python projects/UniDet/train_net.py \\ --config-file projects/UniDet/Partitioned_COI_R50_2x.yaml \\ --num-gpus 1 \\ --eval-only \\ MULTI_DATASET.UNIFIED_EVAL True \\ MODEL.WEIGHTS output/UniDet/Partitioned_COI_R50_2x/model_final.pth \\...
I have checked this file "projects\UniDet\unidet\evaluation\multi_dataset_evaluator.py" For the "_unified_results", the label_space is a specific one (such as coco) rather than a unified label space. That means, if we execute an...
Symbolic link could be a temporary solution for sync files: `sudo ln -s /path/to/your/sync/db.json /defaultPath/to/masscode`
cannot agree more!
> @weiyithu @amundra15 How do you use the nescenes_occ 200x200x16 dataset to run the inference in tpv_code? Because I will encounter this error. !!!!!!!!!!!!!!!!!!!! scene_2ed0fcbfc214478ca3b3ce013e7723ba/dense_voxels_with_semantic/cb035615437f4d428db0a3b1edb4796a.npy > > I think the...