[ICCV'23] Official implementation of CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

OpenMMLab Model Deployment Framework

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

Awesome 3D Lane Detection Paper List.

A paper list of lane detection.

Official PyTorch implementation for paper`Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection' accepted by CVPR 2023

🛣️ automatic extraction of road markings from MLS or ALS point cloud [ISPRS-A' 19]

[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

本Fork代码仓库作为本人记录学习BEVFusion的学习笔记使用，会逐步理解代码并添加大量中文注释。 本仓库代码已参照《bevfusion单显卡训练/测试》做了单GPU训练和测试的修改。 并在本人主机上做过了测试。

CR3DT Fork of the BEVDet Model

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Radar Camera Fusion in Autonomous Driving

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

An open autonomous driving platform

Export CenterPoint PonintPillars ONNX Model For TensorRT

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新中国人的核心宗教，核心信念。

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Voxel Transformer for 3D object detection

高效交互式语义分割标注软件EISeg 『Efficient and intelligent interactive segmentation annotation software』