<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Blankit1的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Blankit1</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Blankit1]]></copyright><item><title><![CDATA[labelme打包成exe形式]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/153533761</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/153533761</guid><author>Blankit1</author><pubDate>Sat, 18 Oct 2025 21:38:35 +0800</pubDate><description><![CDATA[文件：PyInstaller 打包时会生成一个 .spec 文件，用于控制打包的详细配置。你可以通过编辑 labelme.spec 文件（如果官方提供）或修改首次打包后生成的 .spec 文件，确保资源文件被正确打包。直接打包可能会遇到资源文件（如图标、默认配置）丢失的问题，因为 PyInstaller 不会自动打包这些非代码文件。重新打包：修改 .spec 文件后，删除当前文件下生成的。打包完成后，exe 文件会生成在 dist 文件夹中。最终生成的exe文件在当前目录的dist文件夹下。]]></description><category></category></item><item><title><![CDATA[ubuntu安装cuda版本问题]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/149645202</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/149645202</guid><author>Blankit1</author><pubDate>Fri, 25 Jul 2025 17:54:11 +0800</pubDate><description><![CDATA[CUDA driver 版本（nvidia-smi） >= cuda runtime 版本（nvcc -V） >= pytorch配套的cuda版本。]]></description><category></category></item><item><title><![CDATA[base64形式的图片数据保存方法]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/147927025</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/147927025</guid><author>Blankit1</author><pubDate>Tue, 13 May 2025 15:59:50 +0800</pubDate><description><![CDATA[Pillow是一个强大的图像处理库，可以方便地读取、处理和保存图像。]]></description><category></category></item><item><title><![CDATA[通过共享盘路径查看共享盘所在位置]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/147926852</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/147926852</guid><author>Blankit1</author><pubDate>Tue, 13 May 2025 15:53:00 +0800</pubDate><description><![CDATA[sss。]]></description><category></category></item><item><title><![CDATA[ubuntu下复制文件夹，除去某个文件夹]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/147918016</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/147918016</guid><author>Blankit1</author><pubDate>Tue, 13 May 2025 10:31:22 +0800</pubDate><description><![CDATA[【代码】ubuntu下复制文件夹，除去某个文件夹。]]></description><category></category></item><item><title><![CDATA[pool层种类]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/147286552</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/147286552</guid><author>Blankit1</author><pubDate>Wed, 16 Apr 2025 21:44:36 +0800</pubDate><description><![CDATA[output_size 的形状为 (H, W)，H 和 W 可以不同，如果 output_size 是一个整数，将被转换为 (int, int)。输入应为：(N, C, H_in, W_in) 或 (C, H_in W_in)。输出 = (N, C, S_0, S_1) 或 (C, S_0, S_1)。torch.Size([10, 40, 3, 6])参考：Understand torch.nn.AdaptiveAvgPool2d() with Examples - PyTorch Tutorial。]]></description><category></category></item><item><title><![CDATA[腾讯云账号获取SecretId和SecretKey及混元模型调用]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/146045921</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/146045921</guid><author>Blankit1</author><pubDate>Wed, 05 Mar 2025 16:32:25 +0800</pubDate><description><![CDATA[调用示例可以看到传参是什么，立即体验中提供了怎么请求的代码。中找到自己需要的模型，分别点。这里是多模态的传参示例。]]></description><category></category></item><item><title><![CDATA[PIL画图 透明色的圆、框，虚线]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/145898891</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/145898891</guid><author>Blankit1</author><pubDate>Thu, 27 Feb 2025 11:16:11 +0800</pubDate><description><![CDATA[PIL]]></description><category></category></item><item><title><![CDATA[在windows系统上访问ubunutu系统的文件夹]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/144182432</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/144182432</guid><author>Blankit1</author><pubDate>Mon, 02 Dec 2024 11:04:29 +0800</pubDate><description><![CDATA[在smb.conf文件中添加下面部分，共享ubuntu系统中的/data1,表明这个文件夹在windows下不仅仅只是可读，还可以被写和执行2. 重启smb服务。]]></description><category></category></item><item><title><![CDATA[npy文件中字典形式的np.object数据，怎么读取]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/143977714</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/143977714</guid><author>Blankit1</author><pubDate>Fri, 22 Nov 2024 16:41:31 +0800</pubDate><description><![CDATA[numpy数据保存在npy文件中，通过np.load()加载，打印出来，跟字典形式一样。打印数据类型是np.object。想要和字典一样读取key,value。]]></description><category></category></item><item><title><![CDATA[ubuntu安装openvino]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/143403205</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/143403205</guid><author>Blankit1</author><pubDate>Thu, 31 Oct 2024 15:41:18 +0800</pubDate><description><![CDATA[按图片上的选择，按步骤执行。]]></description><category></category></item><item><title><![CDATA[matplotlib.pyplot plt 画图时速度过慢的解决方案]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/143255318</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/143255318</guid><author>Blankit1</author><pubDate>Sat, 26 Oct 2024 16:13:08 +0800</pubDate><description><![CDATA[通过opencv读四张图，然后用matplotlib画图，然后保存。耗时0.6s左右，感觉这个耗时太长。的耗时为0.3s左右。]]></description><category></category></item><item><title><![CDATA[读取视频指定帧的方式]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/143182092</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/143182092</guid><author>Blankit1</author><pubDate>Wed, 23 Oct 2024 13:52:21 +0800</pubDate><description><![CDATA[速度为读取一帧图像耗时。]]></description><category></category></item><item><title><![CDATA[一些漂亮的颜色]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/141357337</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/141357337</guid><author>Blankit1</author><pubDate>Tue, 20 Aug 2024 14:19:42 +0800</pubDate><description><![CDATA[【代码】一些漂亮的颜色。]]></description><category></category></item><item><title><![CDATA[多进程 读取图片shape]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/135079078</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/135079078</guid><author>Blankit1</author><pubDate>Tue, 13 Aug 2024 13:51:51 +0800</pubDate><description><![CDATA[【代码】多进程 读取图片shape。]]></description><category></category></item><item><title><![CDATA[torch.split与torch.chunk的用法及区别]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/140838842</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/140838842</guid><author>Blankit1</author><pubDate>Thu, 01 Aug 2024 09:32:39 +0800</pubDate><description><![CDATA[当split_size_or_sections 为list时，那么tensor结构会一共切分成len(list)这么多的小块，每个小块中的大小按照list中的大小决定，其中list中的数字总和应等于该维度的大小，否则会报错（，正好匹配，那么ouput就是大小相同的块结构。dim上数据的长度不能被。：切分后块结构 <class ‘tuple’>：需要切分的大小(int or list )为int时，tenor结构和。整除，余下的部分会少一些。作用将tensor按照。：input，待分输入。]]></description><category></category></item><item><title><![CDATA[使用python推理tflight(包括int8)模型]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/140777263</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/140777263</guid><author>Blankit1</author><pubDate>Mon, 29 Jul 2024 17:51:50 +0800</pubDate><description><![CDATA[【代码】使用python推理tflight(包括int8)模型。]]></description><category></category></item><item><title><![CDATA[使用gradio搭建服务(三)--多轮对话]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/140667181</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/140667181</guid><author>Blankit1</author><pubDate>Wed, 24 Jul 2024 16:49:56 +0800</pubDate><description><![CDATA[对象保存每轮对话中用户的提问和大语言模型的回复。]]></description><category></category></item><item><title><![CDATA[使用gradio搭建服务(二)--逐步执行]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/139721373</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/139721373</guid><author>Blankit1</author><pubDate>Sun, 16 Jun 2024 15:55:36 +0800</pubDate><description><![CDATA[这里通过设置两个按钮，来分布执行不同的功能。使用gradio搭建逐步执行的服务。]]></description><category></category></item><item><title><![CDATA[文本读取时的乱码/报错]]></title><link>https://blog.youkuaiyun.com/Blankit1/article/details/137826130</link><guid>https://blog.youkuaiyun.com/Blankit1/article/details/137826130</guid><author>Blankit1</author><pubDate>Tue, 16 Apr 2024 15:10:22 +0800</pubDate><description><![CDATA[一批txt文档，有多种编码方式，怎么读取呢？]]></description><category></category></item></channel></rss>