tao-train-pointpillars

Skill

outshift.io · via agntcy registry Unverified — relayed by outshift.io seen 5h ago

About

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".

Capabilities

The crawler did not record capability metadata for this resource. Inspect the endpoint directly to see what it exposes.

Provenance

Discovered Relayed by agntcy

URN authority urn:air:outshift.io:agntcy:tao-train-pointpillars

Catalog host outshift.io

Anchor check Not anchored

Last crawled seen 5h ago

tao-train-pointpillars

About

Capabilities

Provenance

Tags