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training preparation process
The training process of the model in OpenPCDet is as follows. Before training, four parts of preparation are generally required: data preparation, network model preparation, optimizer and learning rate scheduler. The four major parts are introduced separately below. It is mainly the __init___ of various modules.
Unified parameter definition:
3D bounding box: (cx, cy, cz, dx, dy, dz,