<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[loading__1的博客]]></title><description><![CDATA[]]></description><link>https://blog.csdn.net/loading__1</link><language>zh-cn</language><generator>https://blog.csdn.net/</generator><copyright><![CDATA[Copyright &copy; loading__1]]></copyright><item><title><![CDATA[# Spark初尝（1）---安装]]></title><link>https://blog.csdn.net/loading__1/article/details/138924770</link><guid>https://blog.csdn.net/loading__1/article/details/138924770</guid><author>loading__1</author><pubDate>Thu, 16 May 2024 11:22:14 +0800</pubDate><description><![CDATA[配置概要（供参考）]]></description><category></category></item><item><title><![CDATA[Roboflow 合并数据集 批量更改注释 yolov8格式 yaml文件 （不需要代码）]]></title><link>https://blog.csdn.net/loading__1/article/details/136790435</link><guid>https://blog.csdn.net/loading__1/article/details/136790435</guid><author>loading__1</author><pubDate>Sun, 17 Mar 2024 21:45:22 +0800</pubDate><description><![CDATA[绝对可行，我一直以为READEME只有一些说明的作用，此处，要不是偶然间发现我就去找代码或者手动修改标记了。后面合并的部分就没什么好说了，就是改好后正常上传就好了，呃还有就是最好是科学上网，不然有亿点卡。2、两个数据集中中框选的东西是一样的，但是两个标签的命名不一样，如：apple 和 Apple。3、数据来自roboflow,不是来自roboflow的传上去走一圈下来就是了。1、两个数据集中只有一个种类的标签（多个种类的没遇到可自行摸索）]]></description><category></category></item><item><title><![CDATA[吴恩达老师代码本地运行BUG修正（2）]]></title><link>https://blog.csdn.net/loading__1/article/details/135791348</link><guid>https://blog.csdn.net/loading__1/article/details/135791348</guid><author>loading__1</author><pubDate>Tue, 23 Jan 2024 21:59:17 +0800</pubDate><description><![CDATA[吴恩达老师代码按照（1）中修改方式widget在其他文件中无法使用问题修正]]></description><category></category></item><item><title><![CDATA[吴恩达老师代码本地运行BUG修正（1）]]></title><link>https://blog.csdn.net/loading__1/article/details/135761287</link><guid>https://blog.csdn.net/loading__1/article/details/135761287</guid><author>loading__1</author><pubDate>Tue, 23 Jan 2024 01:25:09 +0800</pubDate><description><![CDATA[吴恩达老师C1_W1_Lab04_Cost_function_Soln.ipynb本地运行BUG调试]]></description><category></category></item><item><title><![CDATA[Pytorch、Tensorflow安装中出现的问题]]></title><link>https://blog.csdn.net/loading__1/article/details/135730802</link><guid>https://blog.csdn.net/loading__1/article/details/135730802</guid><author>loading__1</author><pubDate>Sun, 21 Jan 2024 17:19:33 +0800</pubDate><description><![CDATA[pytorch和tensorflow安装过程中碰到的问题]]></description><category></category></item></channel></rss>