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YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
aider is AI pair programming in your terminal
A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Export CenterPoint PonintPillars ONNX Model For TensorRT
Visualizer for neural network, deep learning and machine learning models
TensorRT deployment for CenterPoint Lidar Detection Model.
[SCIS] SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
We extend Segment Anything to 3D perception by combining it with VoxelNeXt.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页:http://111.229.117.200:8100/ (作者独立搭建)
BEVDet online real-time inference using CUDA, TensorRT, ROS1 & C++.
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
OpenMMLab's next-generation platform for general 3D object detection.
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。
BEVFusion-ROS-TensorRT-CPP real time inference including ros1 & ros2.
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…
[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving