# open-mmlab/OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Repository: https://github.com/open-mmlab/OpenPCDet
Canonical: https://ross.abutalabs.com/products/openpcdet
Language: Python
License: Apache-2.0
License Family: permissive
Topics: point-cloud, 3d-detection, autonomous-driving, pv-rcnn, object-detection, pytorch
Last push: 2025-10-08T10:56:40+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 46, release rhythm 35, longevity 100
- inputs: {"age_days": 2363, "days_push": 329, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5692, forks 1470 (observed 2026-08-28T04:09:27.976075+00:00)

## What it is
OpenPCDet is a PyTorch-based open-source toolbox for LiDAR-based 3D object detection. It provides official implementations of models like PointRCNN, PV-RCNN, Voxel R-CNN, MPPNet, and BEVFusion, with support for datasets such as Waymo, NuScenes, and Argoverse2.

## Use cases
- train a 3D object detection model on LiDAR point clouds
- run 3D detection on Waymo or NuScenes datasets
- reproduce PV-RCNN or Voxel R-CNN research results
- fuse camera and LiDAR data with BEVFusion
- benchmark 3D detectors for autonomous driving
- deploy real-time LiDAR detection with TensorRT

## When to choose
- you need state-of-the-art LiDAR 3D detection models in PyTorch
- you are doing autonomous driving perception research
- you want official implementations of PointRCNN, PV-RCNN, or MPPNet
- you need multi-modal (LiDAR + camera) detection support

## When to avoid
- you need 2D image-only object detection
- you work outside Python/PyTorch ecosystems
- you need a production inference engine rather than a research toolbox
- you lack a GPU, since training requires significant compute

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: autonomous-vehicles, computer-vision, deep-learning, machine-learning
- platform: python
- tags: lidar, point-cloud, 3d-object-detection, pytorch, pv-rcnn, waymo, nuscenes, autonomous-driving, linux, gpu

## Member repositories
- open-mmlab/OpenPCDet (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:27.976075+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:53:43.876523+00:00, confidence not recorded.
  - readme: https://github.com/open-mmlab/OpenPCDet (fetched 2026-08-28T04:09:27.976075+00:00, sha f52529c05925)
- Data as of 2026-08-30T08:39:29.467469+00:00.