<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[qq_54827663的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/qq_54827663</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; qq_54827663]]></copyright><item><title><![CDATA[Python长路径导致os.stat()/os.path.getsize()/os.path.exists()报错：FileNotFoundError: [WinError 3] 系统找不到指定的路径]]></title><link>https://blog.youkuaiyun.com/qq_54827663/article/details/135395475</link><guid>https://blog.youkuaiyun.com/qq_54827663/article/details/135395475</guid><author>qq_54827663</author><pubDate>Thu, 04 Jan 2024 21:14:12 +0800</pubDate><description><![CDATA[长路径会导致os.stat()/os.path.getsize()/os.path.exists()等函数无法找到文件，可以使用 \\\\?\\ 或 \\\\?\\UNC\\ 前缀来解决]]></description><category></category></item><item><title><![CDATA[PyInstaller打包exe闪退，No Model named XXX问题]]></title><link>https://blog.youkuaiyun.com/qq_54827663/article/details/135372992</link><guid>https://blog.youkuaiyun.com/qq_54827663/article/details/135372992</guid><author>qq_54827663</author><pubDate>Wed, 03 Jan 2024 21:57:45 +0800</pubDate><description><![CDATA[运行打包的exe时出现闪退，查看报错信息：No module named 'openpyxl.cell._writer'，使用PyInstaller的"hooks"机制解决]]></description><category></category></item><item><title><![CDATA[口罩识别-YOLOv5-Python-Pytorch-运行于Jetson Nano]]></title><link>https://blog.youkuaiyun.com/qq_54827663/article/details/131485175</link><guid>https://blog.youkuaiyun.com/qq_54827663/article/details/131485175</guid><author>qq_54827663</author><pubDate>Sat, 01 Jul 2023 02:54:10 +0800</pubDate><description><![CDATA[使用YOLOv5训练口罩识别模型，共分为三类：未佩戴口罩、正确佩戴口罩、未正确佩戴口罩。并将pt模型部署于Jetson Nano边缘计算平台上，实现口罩识别、点亮LED和语音播报功能，识别速度为8-13帧/秒。]]></description><category></category></item><item><title><![CDATA[labelImge闪退-使用Change Save Dir选择文件夹后闪退]]></title><link>https://blog.youkuaiyun.com/qq_54827663/article/details/131304970</link><guid>https://blog.youkuaiyun.com/qq_54827663/article/details/131304970</guid><author>qq_54827663</author><pubDate>Tue, 20 Jun 2023 13:48:05 +0800</pubDate><description><![CDATA[下载已标注yolo格式数据集，需要使用labelImg进行查看，当单击 Change Save Dir 选择好标签所在的文件夹后，软件闪退]]></description><category></category></item><item><title><![CDATA[PyQt5 将.ui文件转为.py文件并用另一个.py调用]]></title><link>https://blog.youkuaiyun.com/qq_54827663/article/details/128585136</link><guid>https://blog.youkuaiyun.com/qq_54827663/article/details/128585136</guid><author>qq_54827663</author><pubDate>Fri, 06 Jan 2023 22:00:45 +0800</pubDate><description><![CDATA[PyQt5 将.ui文件转为.py文件并用另一个.py调用]]></description><category></category></item><item><title><![CDATA[安装dlib-19.24报错subprocess.CalledProcessError: Command ‘[‘cmake‘, ‘--build‘,]]></title><link>https://blog.youkuaiyun.com/qq_54827663/article/details/128564759</link><guid>https://blog.youkuaiyun.com/qq_54827663/article/details/128564759</guid><author>qq_54827663</author><pubDate>Thu, 05 Jan 2023 15:51:17 +0800</pubDate><description><![CDATA[安装dlib-19.24时出现报错subprocess.CalledProcessError: Command '['cmake', '--build', '.', '--config', 'Release', '--', '/m']' returned non-zero exit status 1]]></description><category></category></item><item><title><![CDATA[Python+OpenCV+paddleocr基于传统图像处理技术实现车牌识别]]></title><link>https://blog.youkuaiyun.com/qq_54827663/article/details/128067229</link><guid>https://blog.youkuaiyun.com/qq_54827663/article/details/128067229</guid><author>qq_54827663</author><pubDate>Sun, 27 Nov 2022 19:09:58 +0800</pubDate><description><![CDATA[OCR字符识别需要用到OCR库，我首先尝试过使用Tesseract来进行OCR识别，但是效果不尽人意，之后尝试使用百度飞桨的OCR库paddleocr进行识别，效果符合预期。由于车牌颜色多种多样，无法使用颜色阈值的方法来提取车牌，因此考虑使用形态学操作的方法来提取车牌。预处理的工作，就是使用传统图像处理技术，从图像中找到车牌的位置并截取出来以供OCR使用。图像顶帽（或图像礼帽）运算是原始图像减去图像开运算的结果，得到图像的噪声。把图像闭合、揉团，使图像区域化，便于找到车牌区域，进而得到轮廓。]]></description><category></category></item><item><title><![CDATA[Python+OpenCV+Tesseract实现OCR字符识别]]></title><link>https://blog.youkuaiyun.com/qq_54827663/article/details/128051162</link><guid>https://blog.youkuaiyun.com/qq_54827663/article/details/128051162</guid><author>qq_54827663</author><pubDate>Sat, 26 Nov 2022 15:29:34 +0800</pubDate><description><![CDATA[本文简要介绍了如何使用Python+OpenCV+Tesseract实现OCR字符识别]]></description><category></category></item></channel></rss>