Closed amritpaul closed 4 years ago
The run.py script contains a flag --level LEVEL to turn on some visualizations.
For example:
python3 run.py checkpoints/car_auto_T3_trainval/ --level 1 --test --dataset_root_dir DATASET_ROOT_DIR --output_dir DIR_TO_SAVE_RESULTS
This will enable a 3D view visualization with the boxes plotted. You can press [q] for the next frame. For consecutive visualization of without blocking the code, you can set --level 2.
I hope it helps.
Hi, Thanks a lot for providing the codebase. I have trained it and the results look pretty good as described in the paper. However, I wasn't able to figure out how to plot the predicted 3D bounding boxes on the point cloud. Can anyone help me resolve this issue?