Description: PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, exporting, pruning, retraining, or running inference for a TAO PointPillars model. Trigger phrases include “train PointPillars”, “LiDAR 3D detection”, “point-cloud object detection”, “pillar-based 3D detector”.
Lines: 245 | Code: 43 | Dir: tao-train-pointpillars
name: tao-train-pointpillars description: PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2…