<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[终身学习，每天进步一点点]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/NX4494</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; NX4494]]></copyright><item><title><![CDATA[ Excel 把空白单元格批量填成 0]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/167671351</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/167671351</guid><author>NX4494</author><pubDate>Mon, 12 Oct 2026 10:09:59 +0800</pubDate><description><![CDATA[这样才是 "同时填入选中的所有格子"。]]></description><category></category></item><item><title><![CDATA[Process finished with exit code 134 (interrupted by signal 6: SIGABRT)]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/158389882</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/158389882</guid><author>NX4494</author><pubDate>Thu, 26 Feb 2026 19:55:33 +0800</pubDate><description><![CDATA[OpenCV 在被导入时，会偷偷把自己的 Qt 插件路径 “告诉” Qt；Qt 启动时会按 “OpenCV 插件路径 → 系统插件路径” 的顺序找 xcb 插件；]]></description><category></category></item><item><title><![CDATA[清理手机内存]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/158238401</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/158238401</guid><author>NX4494</author><pubDate>Fri, 20 Feb 2026 21:03:58 +0800</pubDate><description><![CDATA[1.手机管家2.文件管理搜temp临时文件backup备份文件3.设置-应用-清除数据、清除缓存4.微信搜recover-深度清理-清理缓存5.清浊、雪豹速清app，设置锁屏全自动清理6.备份需要的东西以后重置手机恢复出厂设置，清理最干净hh。]]></description><category></category></item><item><title><![CDATA[双系统的电脑C盘满了如何清理]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/156834988</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/156834988</guid><author>NX4494</author><pubDate>Tue, 03 Feb 2026 17:09:42 +0800</pubDate><description><![CDATA[针对双系统（Windows+Ubuntu）存储空间的一些问题]]></description><category></category></item><item><title><![CDATA[ModuleNotFoundError: No module named ‘PyQt5‘]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/157186297</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/157186297</guid><author>NX4494</author><pubDate>Wed, 21 Jan 2026 01:08:51 +0800</pubDate><description><![CDATA[本文介绍了如何排查conda环境配置错误：包括检查Python路径、正确退出虚拟环境、重新激活conda环境，并最终验证PyQt5安装成功。通过执行一系列环境检查和重置步骤，确保Python解释器正确指向conda环境中的PyQt5安装路径。]]></description><category></category></item><item><title><![CDATA[RuntimeError: No CUDA GPUs are available]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/157186209</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/157186209</guid><author>NX4494</author><pubDate>Tue, 20 Jan 2026 23:56:41 +0800</pubDate><description><![CDATA[由于内核升级导致NVIDIA驱动不匹配，通过重新安装内核头文件和指定版本的NVIDIA驱动(525)，并更新initramfs后问题解决。]]></description><category></category></item><item><title><![CDATA[代码标红能运行就行，pycharm识别不到，系统能识别并运行就行]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144437674</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144437674</guid><author>NX4494</author><pubDate>Thu, 12 Dec 2024 22:45:15 +0800</pubDate><description><![CDATA[某些 IDE（如 PyCharm）可能无法正确解析 TensorFlow 的模块结构，但实际上代码可以正常运行。标红提示  在 '__init__.py | __init__.py' 中找不到引用 'keras'总结：能运行就行，pycharm识别不到，系统能识别并运行就行。]]></description><category></category></item><item><title><![CDATA[为什么我为STEREO项目添加已存在的conda解释器，但是python路径是指向系统而不是虚拟环境里的python]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144437085</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144437085</guid><author>NX4494</author><pubDate>Thu, 12 Dec 2024 22:26:18 +0800</pubDate><description><![CDATA[命令首先解析到系统默认的 Python，而不是 Conda 虚拟环境的 Python。你的环境变量设置将系统的。]]></description><category></category></item><item><title><![CDATA[ubuntu WPS英文版安装方法]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144414702</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144414702</guid><author>NX4494</author><pubDate>Thu, 12 Dec 2024 07:27:53 +0800</pubDate><description><![CDATA[需要进入国外官网下载。]]></description><category></category></item><item><title><![CDATA[在系统安装还是base安装numpy以后，虚拟环境就不用再安装了]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144414390</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144414390</guid><author>NX4494</author><pubDate>Thu, 12 Dec 2024 04:54:54 +0800</pubDate><description><![CDATA[1. **环境隔离**：虚拟环境（无论是通过Python的`venv`模块、Conda还是其他工具创建的）提供了一个隔离的环境，其中可以安装不同版本的库，而不会影响系统中的其他Python项目。2. **依赖管理**：在虚拟环境中重新安装`numpy`可以确保您的项目使用的是适合该项目的特定版本的`numpy`，这可能与系统或base环境中的版本不同。3. **避免冲突**：如果不同项目需要不同版本的`numpy`，那么在每个虚拟环境中安装自己的`numpy`可以避免版本冲突。]]></description><category></category></item><item><title><![CDATA[安装TensorRT]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144414279</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144414279</guid><author>NX4494</author><pubDate>Thu, 12 Dec 2024 04:54:38 +0800</pubDate><description><![CDATA[Linux(ubuntu22.04)系统下安装TensorRT、cuda、cudnn环境配置，多个版本安装共存_ubuntu22.04安装tensorrt-优快云博客Log in | NVIDIA Developer]]></description><category></category></item><item><title><![CDATA[tensorflow相关]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144414144</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144414144</guid><author>NX4494</author><pubDate>Thu, 12 Dec 2024 03:05:04 +0800</pubDate><description><![CDATA[安装 TensorFlow 各有其特点，但在功能和使用方面没有本质区别，主要取决于你安装 TensorFlow 的场景和需求。]]></description><category></category></item><item><title><![CDATA[ubuntu22.04虚拟环境安装pytorch，用清华源]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144414091</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144414091</guid><author>NX4494</author><pubDate>Thu, 12 Dec 2024 02:53:06 +0800</pubDate><description><![CDATA[【代码】ubuntu22.04虚拟环境安装pytorch，用清华源。]]></description><category></category></item><item><title><![CDATA[虚拟环境能不能用系统cuda]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144414033</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144414033</guid><author>NX4494</author><pubDate>Thu, 12 Dec 2024 02:34:37 +0800</pubDate><description><![CDATA[Conda 虚拟环境可以使用系统安装的 CUDA，但需要正确设置环境和路径。]]></description><category></category></item><item><title><![CDATA[镜像源安装opencv]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144412641</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144412641</guid><author>NX4494</author><pubDate>Wed, 11 Dec 2024 23:21:40 +0800</pubDate><description><![CDATA[pip install opencv-python -i https://pypi.tuna.tsinghua.edu.cn/simple/]]></description><category></category></item><item><title><![CDATA[pycharm添加虚拟环境时提示没有Python打包工具]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144388157</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144388157</guid><author>NX4494</author><pubDate>Wed, 11 Dec 2024 03:06:19 +0800</pubDate><description><![CDATA[在本地终端中输入：]]></description><category></category></item><item><title><![CDATA[打开matlab生成的fig文件]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144387305</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144387305</guid><author>NX4494</author><pubDate>Wed, 11 Dec 2024 02:55:14 +0800</pubDate><description><![CDATA[如果没有 MATLAB，可以尝试 GNU Octave，这是一个开源的 MATLAB 替代工具，部分兼容 MATLAB 的。]]></description><category></category></item><item><title><![CDATA[联想Y7000 2024版本笔记本 RTX4060安装ubuntu22.04双系统及深度学习环境配置]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/144368568</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/144368568</guid><author>NX4494</author><pubDate>Tue, 10 Dec 2024 11:39:21 +0800</pubDate><description><![CDATA[本文详细介绍了Windows和Ubuntu双系统的安装与配置流程。首先需要制作Ubuntu启动盘，并调整Windows磁盘分区。安装前需完成四个关键设置：关闭Bitlocker、BIOS安全启动和Intel RST，启用独显。安装Ubuntu时需注意挂载点和启动项选择。系统配置包括：检查NVIDIA驱动、更换软件源、安装输入法、配置Python环境（Anaconda、CUDA等）、Pycharm安装及汉化。文中提供了多个参考链接，涵盖常见问题的解决方案，如黑屏处理、启动项删除等。]]></description><category></category></item><item><title><![CDATA[win11深度学习虚拟环境配置]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/143998257</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/143998257</guid><author>NX4494</author><pubDate>Sat, 23 Nov 2024 20:22:35 +0800</pubDate><description><![CDATA[【代码】win11深度学习虚拟环境配置。]]></description><category></category></item><item><title><![CDATA[win11虚拟环境深度环境配置 | 安装cuda,tensorflow,cudnn]]></title><link>https://blog.youkuaiyun.com/NX4494/article/details/143998178</link><guid>https://blog.youkuaiyun.com/NX4494/article/details/143998178</guid><author>NX4494</author><pubDate>Sat, 23 Nov 2024 20:20:15 +0800</pubDate><description><![CDATA[【代码】win11虚拟环境深度环境配置 | 安装cuda,tensorflow,cudnn。]]></description><category></category></item></channel></rss>