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✨This is an pyqt5 example.🔥Good project structure. 💻It can be directly used for rapid development, database connection, login and registration.
This YOLOv5🚀😊 GUI road sign system uses MySQL💽, PyQt5🎨, PyTorch, CSS🌈. It has modules for login🔑, YOLOv5 setup📋, sign recognition🔍, database💾, and image processing🖼️. It supports diverse inputs, m…
基于计算机视觉手势识别控制系统YoLoGesture (利用YOLO实现),利用yolo进行手势识别的控制系统,最后利用streamlit进行了部署,可在线体验尝试https://kedreamix-yologesture.streamlit.app , huggingface也有https://huggingface.co/spaces/Kedreamix/YoloGesture ,除此之…
This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
基于OpenPose与随机森林的驾驶员检测系统,包含姿态检测与疲劳检测
基于深度学习的驾驶员分心驾驶行为(疲劳+危险行为)预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测
利用SSD目标检测算法判断是否闭眼或者张开嘴和吸烟打电话等手势行为,通过PERCLOS准则判断是否疲劳等等,功能涵盖7类情绪识别,眨眼判断,哈欠判断,吸烟,打电话等,达到危险驾驶检测的功能
利用realsense深度相机实现yolov5目标检测的同时测出距离
基于 YoLov8 与 Tesser act-OCR 的车流量分析系统