<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[留De白的博客]]></title><description><![CDATA[RS, Python, IDL]]></description><link>https://blog.youkuaiyun.com/REAL_liudebai</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; REAL_liudebai]]></copyright><item><title><![CDATA[最全的Anaconda虚拟环境操作及Python常用命令 (持续更新---)]]></title><link>https://blog.youkuaiyun.com/REAL_liudebai/article/details/126185097</link><guid>https://blog.youkuaiyun.com/REAL_liudebai/article/details/126185097</guid><author>REAL_liudebai</author><pubDate>Thu, 29 Sep 2022 20:08:32 +0800</pubDate><description><![CDATA[（1）先 clone 一份 env_new 的环境。9、Python安装指定版本库，查看库的版本号。1、Anaconda命令提示符查看虚拟环境。6、在环境内升级或降级Python版本。（2）删除env_old 的环境。8、Python安装第三方库。3、切换(激活)环境。4、删除(卸载)环境。]]></description><category></category></item><item><title><![CDATA[Python程序编译为动态库pyd或so (适用于Windows和Linux)]]></title><link>https://blog.youkuaiyun.com/REAL_liudebai/article/details/125126432</link><guid>https://blog.youkuaiyun.com/REAL_liudebai/article/details/125126432</guid><author>REAL_liudebai</author><pubDate>Sun, 05 Jun 2022 12:16:58 +0800</pubDate><description><![CDATA[将Python程序编译为二进制文件，Windows下编译为 .pyd 文件，Linux下的编译为.so 文件，保护源代码。

2. 准备编译环境
3.1. Windows系统下编译：

3.2. Linux系统下编译：

]]></description><category></category></item><item><title><![CDATA[Python OpenCV配置CUDA以支持GPU加速 (不使用Visual Studio)]]></title><link>https://blog.youkuaiyun.com/REAL_liudebai/article/details/119356958</link><guid>https://blog.youkuaiyun.com/REAL_liudebai/article/details/119356958</guid><author>REAL_liudebai</author><pubDate>Thu, 24 Feb 2022 22:30:00 +0800</pubDate><description><![CDATA[文章目录0. 前言1. 查看电脑CUDA版本2. 下载CUDA Toolkit3. 下载cuDNN4. 下载opencv源代码5. 测试是否成功]]></description><category></category></item></channel></rss>