Abelpy1

Abelpy1

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CPD

Commonsense Prototype for Outdoor Unsupervised 3D Object Detection (CVPR 2024)

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PointLLM

[arXiv 2023] PointLLM: Empowering Large Language Models to Understand Point Clouds

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3D-Box-Segment-Anything

We extend Segment Anything to 3D perception by combining it with VoxelNeXt.

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VoxelNeXt

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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SAM3D

[SCIS] SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model

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DynamicMap_Benchmark

The First Dynamic Map Removal Benchmark: open-sourced all the methods and datasets in papers. Continous updating.

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CUDA-PointPillars-Boolmap

A re-implementation of CUDA-PointPillars with boolmap vfe

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awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

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PointPillars_MultiHead_40FPS

A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.

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OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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3D-Point-Clouds

🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等

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Point_LIO_Mid360

This project uses Point-LIO in Livox Mid-360.

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3D-PointCloud

Papers and Datasets about Point Cloud.

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PIXOR

PyTorch Implementation of PIXOR

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spdlog

Fast C++ logging library.

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OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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labelCloud

A lightweight tool for labeling 3D bounding boxes in point clouds.

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centerpoint-livox

CenterPoint model trained on livox dataset, and deployed with TensorRT on ros2

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lidar-slam-detection

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

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CenterPoint

TensorRT deployment for CenterPoint Lidar Detection Model.

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autolabor_perception_ros

apollo r3.0 感知移植(参考百度开发者套件)

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Lidar_Perception_Apollo

将Apollo3.0中的Lidar感知流程Python感知更新至此仓库,包括单帧识别与动态识别

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apollo_perception_ros

Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS

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Apollo-Note

Note for Apollo 3.0 perception, prediction and planning modules

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