follow any of existing datasets (e.g. https://github.com/poodarchu/Det3D/blob/master/det3d/datasets/kitti/kitti.py) to create a Waymo(data.datasets) class, and implement the init (which is used to load the infos file generated in step 1) and the getitem (which is used to load the file and preprocess it).
Add corresponding evaluation func according to waymo's API and metrics.
Here is an instruction about how to extract the bin file and label file from Waymo. https://www.jianshu.com/p/a3e8310cea32 (It is written in Chinese.)
I am a beginner about 3D detection. Could anyone give me a guide to train Waymo using Det3D?
Many thanks.