A general and strong 3D object detection codebase that supports more methods, datasets and tools (debugging, recording and analysis).

Related tags

Deep Learning point-cloud lidar autonomous-driving 3d-object-detection
Overview

ALLINONE-Det

ALLINONE-Det is a general and strong 3D object detection codebase built on OpenPCDet, which supports more methods, datasets and tools (debugging, recording and analysis).

Overview

Changelog

[2022-01-08] NEW: Update ALLINONE-Det to v0.1.0:

  • Initial commit

Supported Features

  • Support the latest version of OpenPCDet v0.5.2
  • Support KITTI, ONCE, NuScnees, Lyft and Waymo datasets
  • Support more models and modules than OpenPCDet, e.g., CT3D, LiDAR R-CNN, VarifocalLoss, ATSS
  • Support plug-and-play remote visual debugging
  • Support unified model configuration, training, recording and analysis
  • Support Adaptive Object Augmentation Module
  • Support Balanced Sample Assignment and Objective Module
  • Support Test Time Augmentation

Model Zoo

Installation

Please refer to OpenPCDet for the installation of ALLINONE-Det.

Getting Started

Acknowledgement

Thanks to the strong and flexible OpenPCDet codebase maintained by Shaoshuai Shi (@sshaoshuai) and the reproduced benchmark (ONCE_Benchmark) on the ONCE (One Million Scenes) dataset by PointsCoder (@PointsCoder).

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