YOLOv5 detection interface - PyQt5 implementation

Related tags

Deep Learning PyQt5-YOLOv5
Overview

2021/10/8: 所有代码已上传，直接clone后，运行yolo_win.py即可开启界面。

2021/9/29：加入置信度选择 置信度

界面是在ultralytics的yolov5基础上建立的，界面使用pyqt5实现，内容较简单，娱乐而已。

功能：

  1. 模型选择
  2. 本地文件选择(视频图片均可)
  3. 开关摄像头
  4. 运行/终止
  5. 统计检测结果

界面 默认模型为yolov5s.pt，默认输入文件为电脑摄像头视频

使用视频： https://www.bilibili.com/video/BV1sQ4y1C7Vk?spm_id_from=333.999.0.0

csdn: https://blog.csdn.net/weixin_41735859/article/details/120507779?spm=1001.2014.3001.5501

摄像头检测画面：

摄像头

本地视频检测画面： 本地

本地图片检测画面： 本地

使用

运行yolo_win.py即可开启检测界面。

存在的一个小问题，切换模型或者文件过于频繁，可能会卡住，重启一下即可。

这种情况很少出现，问题不大。

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Comments
  • UnicodeDecodeError: 'utf-8' codec can't decode bytes in position 294-295: invalid continuation byte

    UnicodeDecodeError: 'utf-8' codec can't decode bytes in position 294-295: invalid continuation byte

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    opened by Vananananana 0
  • How to solve the pyqt5-tools stuck on

    How to solve the pyqt5-tools stuck on "Preparing metadata (pyproject.toml) ... \" on MacOS M1 chip?

    (base) kakutooru@MacBook-Air PyQt5-YOLOv5 % pip install PyQt5-tools Looking in indexes: https://pypi.douban.com/simple/ Collecting PyQt5-tools Downloading https://pypi.doubanio.com/packages/b7/70/a25aab849a5e38ae78716acde1f917a14d9d819c8600bbb8cf536781f7c5/pyqt5_tools-5.15.4.3.2-py3-none-any.whl (29 kB) Using cached https://pypi.doubanio.com/packages/36/b8/a255b8160e863678aa7d559a4c8c33b5448a6e270992d1464ec9f87ed633/pyqt5_tools-5.15.4.3.1-py3-none-any.whl (28 kB) Using cached https://pypi.doubanio.com/packages/88/ca/a9cb4816479940d1e0c94c683418c2cc4b4bc2955cd3c5754179a5f95040/pyqt5_tools-5.15.4.3.0.3-py3-none-any.whl (28 kB) Using cached https://pypi.doubanio.com/packages/e5/cb/34b583ce53ca66803cfe904b11ae87633b1e98121a2a54583674514ae29b/pyqt5_tools-5.15.3.3.2-py3-none-any.whl (29 kB) Collecting pyqt5==5.15.3 Downloading https://pypi.doubanio.com/packages/6e/86/d715e71771cece0e060f2ebab20f3ded067b08a0927dfb3143530cae8098/PyQt5-5.15.3.tar.gz (3.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.3/3.3 MB 4.1 MB/s eta 0:00:00 Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... \

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