基于TensorRT的C++高性能推理库,Yolov10, YoloPv2,Yolov5/7/X/8,RT-DETR,单目标跟踪OSTrack、LightTrack。
yolopv2 开源项目推荐(9 个)
yolopv2 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 9
GitHub 共 9 个仓库,已全部展示分别使用OpenCV、ONNXRuntime部署YOLOPV2目标检测+可驾驶区域分割+车道线分割,一共包含54个onnx模型,依然是包含C++和Python两个版本的程序。仅仅只依赖OpenCV就能运行,彻底摆脱对任何深度学习框架的依赖。
YOLOPv2のPythonでのONNX推論サンプル
This repository provides two deep learning pipelines for real-time scene analysis in Euro Truck Simulator 2. The first solution utilizes LaneNet with an ENet backbone for lane detection alongside Yolo11n for object detection. The second solution employs YOLOPv2 to simultaneously detect lanes and vehicles.
The system uses CARLA and YOLOPv2 for real-time lane detection and vehicle tracking. It triggers visual alerts on unintended lane departures, logs events via MQTT, supports Xbox One and G29, and works in various conditions.
ROS 2 자율주행 통합 플랫폼 · YOLOPv2 차선 인식 → 주행 명령 → MCU 시리얼 브리지 · mock bringup
Lane detection on KITTI dashcam imagery — classical CV (OpenCV/Hough) and YOLOPv2, side-by-side, with quantitative IoU benchmarking against KITTI ground truth.
Fine tuned YOLOPv2 model with borrowed features from the Utils library and depthai_python MobileNet human detection model to send both braking and steering commands for self driving using pre-trained weights.
AI-powered driver safety system using YOLOPv2 for real-time lane detection and lateral deviation monitoring on a Jetson Orin Nano, integrated with drowsiness and emotion detection. Combines both pipelines into a live driver safety score displayed in an Android app, with session logging for fleet monitoring.
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 9 个项目;原始页面见 https://github.com/topics/yolopv2。
- 该话题在 GitHub 上共有 9 个仓库, 本站收录的是其中最热门的 9 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 9 个项目累计 345 Star,覆盖 3 种主要语言,数据更新于 2026-11-10。
- 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。