Pinned Repositories
Clustering_Models_Python
K-means and hierarchical clustering with scikit-learn
deep-smoke-machine
Deep learning models and dataset for recognizing industrial smoke emissions
Intelligent-Traffic-Based-On-CV
本项目是基于计算机视觉的端到端交通路口智能监控系统．采用的设计架构由SRS流媒体服务器、GPU服务器、Local客户端三部分组成．可将远端视频流通过rtmp协议传输到流媒体服务器，然后经过目标检测等一些列算法对视频进行分析，最后在本地客户端查看分析结果．项目主要用Python实现，流媒体服务器采用开源的SRS实时视频服务器搭建，GPU服务器使用YOLO模型实现道路目标如人、车、交通灯等物体的识别，同时还支持并发连接．客户端基于PyQt5进行开发．
site-dust-detect
This repo examines an image-based dust emission monitoring method for construction activities.
Smart_Construction
Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
Yolov5-Deepsort
最新版本yolov5+deepsort目标检测和追踪，支持5.0版本可训练自己数据集
YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
yolov7
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
yolox-deepsort
基于YoloX目标检测+DeepSort算法实现多目标追踪Baseline
yolox-pytorch
这是一个yolox-pytorch的源码，可以用于训练自己的模型。
lrz55127's Repositories
lrz55127/Smart_Construction
Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
lrz55127/YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
lrz55127/yolox-deepsort
基于YoloX目标检测+DeepSort算法实现多目标追踪Baseline
lrz55127/Clustering_Models_Python
K-means and hierarchical clustering with scikit-learn
lrz55127/deep-smoke-machine
Deep learning models and dataset for recognizing industrial smoke emissions
lrz55127/Intelligent-Traffic-Based-On-CV
本项目是基于计算机视觉的端到端交通路口智能监控系统．采用的设计架构由SRS流媒体服务器、GPU服务器、Local客户端三部分组成．可将远端视频流通过rtmp协议传输到流媒体服务器，然后经过目标检测等一些列算法对视频进行分析，最后在本地客户端查看分析结果．项目主要用Python实现，流媒体服务器采用开源的SRS实时视频服务器搭建，GPU服务器使用YOLO模型实现道路目标如人、车、交通灯等物体的识别，同时还支持并发连接．客户端基于PyQt5进行开发．
lrz55127/site-dust-detect
This repo examines an image-based dust emission monitoring method for construction activities.
lrz55127/Yolov5-Deepsort
最新版本yolov5+deepsort目标检测和追踪，支持5.0版本可训练自己数据集
lrz55127/yolov7
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
lrz55127/yolox-pytorch
这是一个yolox-pytorch的源码，可以用于训练自己的模型。