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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)
Convert pointpillars Pytorch Model To ONNX for TensorRT Inference
SECOND for KITTI/NuScenes object detection
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
OpenMMLab's next-generation platform for general 3D object detection.
Code for "Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection"
A faster pytorch implementation of faster r-cnn
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
Official implementation of paper: Masked Retraining Teacher-student Framework for domain adaptive object detection. (ICCV2023)
Deep Residual Learning for Image Recognition
YOLO multi-threaded and hardware-accelerated inference framework based on RKNN
RKNN-YOLOV5-BatchInference-MultiThreadingYOLOV5多张图片多线程C++推理
A collection of papers about domain adaptation for 3D object detection. Welcome to PR the works (papers, repositories) that are missed by the repo.
A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。
RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO & designed for fine-tuning.
Simple header-only thread pool implementation in C++17
A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。
yolov10 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
airockchip / yolov5
Forked from ultralytics/yolov5YOLOv5 in PyTorch > ONNX > CoreML > TFLite
deep learning for image processing including classification and object-detection etc.