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openpcdet 开源项目推荐(15 个)
openpcdet 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 15
GitHub 共 15 个仓库,已全部展示Radar-only 3D object detection on View-of-Delft. Reproduces & beats RadarPillars (IROS 2024) by +1.86 mAP. OpenPCDet-based, pretrained weights included.
Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
[CVPR 2023 - L3D-IVU] PyTorch implementation of "Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection"
[CVPR 2023 - L3D-IVU] PyTorch implementation of "Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection"
Modified version of OpenPCDet Toolbox for custom purpose
ROS2 PointPillars inference demo using OpenPCDet and pybind11 for LiDAR point cloud object detection.
Cross-View Semantic Injection and Sparse Dual-Path Token Mixer for 3-D Object Detection. RV-SDTM implementation on OpenPCDet for Waymo, nuScenes, and Argoverse 2.
LiDAR-camera perception, calibration/sync robustness, PointPillars evaluation, and bounded TensorRT deployment benchmarking.
Deployable GPU inference functions for Nuclio with shared model-serving contracts.
This repository serves as a client to send sensor messages from ROS or other sources to the Inference server and processes the inference results.
ROS 2 AMR simulation and LiDAR-based 3D person detection with OpenPCDet and PointPillars.
This repository is for MORAI dataset training in 3D object detection with SECOND
This repository provides a plugin for the OpenPCDet object detection framework that facilitates fusion of 2D and 3D object detection.
NMS-free 3D object detection head for CenterPoint on OpenPCDet/KITTI: task-aligned one-to-one label assignment replaces Non-Maximum Suppression — +12.3 AP Pedestrian, +7.7 AP Cyclist, and 105 vs 76 FPS.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 15 个项目;原始页面见 https://github.com/topics/openpcdet。
- 该话题在 GitHub 上共有 15 个仓库, 本站收录的是其中最热门的 15 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 15 个项目累计 386 Star,覆盖 1 种主要语言,数据更新于 2026-11-11。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。