基于Python的行人重识别系统设计与实现

Design and Implementation of Pedestrian Rerecognition System Based on Python

借助人工检测目标行人的方法不仅效率低下,而且易受非目标行人和环境等因素的干扰,无法达到快速识别的目的,与现代社会需求相悖。为此,基于Python设计了行人重识别系统。在该系统中输入待检测行人图像,可立即显示识别结果,不仅可满足实际应用场景的需求,而且使得行人重识别更加便捷和智能。

In the past,the method of detecting target pedestrians by hand is not only inefficient,but also vulnerable to the interference of non-target pedestrians and environmental factors.It cannot achieve the purpose of rapid identification,which is contrary to the needs of modern society.For this reason,this paper designs a pedestrian rerecognition system based on Python.By inputting pedestrian images to be detected,the recognition results can be displayed in real time,which can not only meet the requirements of practical application scenarios,but also make pedestrian rerecognition more convenient and intelligent.