Comments (7)
我是直接使用开源数据集 Safety-Helmet-Wearing-Dataset 来做的,您可以先使用 YOLOv5 自带的 yolov5x.pt 来进行【人体】的标记,将 0
的分类和 bbox 提取出来,然后结合到 SHWD 数据库里面的【安全帽】和【头】即可,感谢您的关注
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哦哦,也是,忘记这回事了。coco自带的person,谢啦,之前这么弄过。我还以为你自己标注的呢。
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好的,希望能够帮到您,感谢您的关注,问题解决了我先将这个 issue 关闭了,
如果帮到您,请给个 star ✨✨✨,您的 star 是我最大的鼓励!
from smart_construction.
我开源了烟火数据集,互相star哟,嘿嘿
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已 star ✨ fire-detect-yolov4 , 下次我有烟火需求我就用你的😁
from smart_construction.
我的都没给你带来啥好处,你就star,我那么一说。你这么痛快,我也给你star了。我的那个烟火检测可以yolov4-5试试,实际应用比较多,据我了解需求不少呢
from smart_construction.
哈哈哈,好的,我需要的时候试一试,谢谢😁
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Related Issues (20)
- 请问支持RTSP实时视频推理吗? HOT 1
- onnx export can work HOT 2
- 关于打包exe问题 HOT 7
- 数据集 HOT 1
- 安全帽和非安全帽 HOT 1
- 截图保存问题 HOT 1
- 如何判断是安全帽是手拿着还是头戴着? HOT 1
- Can you put the weights somehwere else for easier download?
- 可视化界面引入实时监控问题 HOT 1
- CUDA error
- 想问下如何实现对本地摄像头的实时检测呢 HOT 1
- 如何解决摄像头远距离、俯瞰角度、小尺寸安全帽检测率低问题? HOT 1
- 执行train.py错误,请教解决 HOT 4
- 增加数据集的分类具体怎么操作?可以分享下增加人体一项的数据集吗? HOT 1
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- 这里给大家提几个小建议! HOT 1
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- requirements.txt的mkl-fft,mkl-random, mkl-service的版本 HOT 3
- 安装问题 HOT 1
- 在运行visual_interface.py出现Error: "No valid frames decoded before end of stream" HOT 1
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