论文标题
多区域目标个人检测，并在视频上免费绘制
Multi-area Target Individual Detection with Free Drawing on Video
论文作者
论文摘要
本文提供了一种新颖的设计思想和一些实现方法，以实时检测多个区域，并通过视频显示屏上的实时绘制实时绘制的多个检测区域进行了多个检测区域。视频上的绘画将作为各种群体保持输出，并且在更改绘图或检测的阶段时，轮廓的颜色将会改变。绘制区域的形状可自由定制和实时有效。绘制区域的配置可以更新，并且检测区域正在单独工作。检测结果应通过TKINTER设计的GUI显示。对象识别模型是在Yolov5上开发的，但可以将其更改为其他人，这意味着本文的核心设计和实现思想与模型无关。使用PIL和OPENCV和TKINTER，绘图效果是实时和有效的。这项研究的设计和代码是基本的，可以扩展以在众多监视和检测情况下实施。
This paper has provided a novel design idea and some implementation methods to make a real time detection of multi-areas with multiple detecting areas that are generated by the real time drawing on the screen display of the video. The drawing on the video will remain the output as polylines, and the colors of the outlines will change when the stage of drawing or detecting is changed. The shape of the drawn area is free to be customized and real-time effective. The configuration of the drawn areas can be renewed and the detecting areas are working individually. The detection result should be shown with a GUI designed by Tkinter. The object recognition model was developed on YOLOv5 but can be changed to others, which means the core design and implementation idea of this paper is model-independent. With PIL and OpenCV and Tkinter, the drawing effect is real time and efficient. The design and code of this research is basic and can be extended to be implemented in numerous monitoring and detecting situations.
