yolov5 ros实时

基于引用和引用的内容，YOLOv5 ROS是基于YOLOv5算法实现的一个ROS功能包，用于实时物体检测。该功能包具有以下特点：参数化编程，参数可方便更改，代码编程思路清晰，注释明细。它适用于Ubuntu 18.04/ROS Melodic/Nvidia Jetson Nano的测试环境，并且需要安装PyTorch 1.10.1和cudatoolkit=10.2。请注意，由于ROS Melodic默认使用Python 2.7的cv_bridge，而PyTorch使用Python 3，因此还需要为两个版本的Python进行适配。因此，YOLOv5 ROS可以在实时场景中进行物体检测。<span class="em">1</span><span class="em">2</span>
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- *1* [基于yolov5 ROS部署版实现coco数据集行人识别、红绿灯和玩具红绿灯pt模型（完整源码+说明文档+报告+数据）....](https://download.csdn.net/download/m0_62143653/87693501)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* [基于YOLO v5的物体检测ROS功能包实践. ](https://download.csdn.net/download/okgwf/83243394)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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