<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/wb3533366</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; wb3533366]]></copyright><item><title><![CDATA[动态库多层次链接时报“undefined reference”的问题]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/148423698</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/148423698</guid><author>wb3533366</author><pubDate>Wed, 04 Jun 2025 11:48:04 +0800</pubDate><description><![CDATA[当demo.cpp调用libB.so函数时，是否需要显式链接libB.so取决于libA.so的符号导出方式。如果libA.so未导出libB.so符号（默认情况），则必须显式链接-lB，否则会出现未定义引用错误；若libA.so通过-Wl,--copy-dt-needed-entries导出符号，则可省略-lB。建议直接调用底层库时显式链接，避免依赖问题。可通过readelf检查符号是否导出，并用不同编译选项验证行为差异。]]></description><category></category></item><item><title><![CDATA[服务器上搭建ollama用于本地vscode代码生成]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/148334344</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/148334344</guid><author>wb3533366</author><pubDate>Fri, 30 May 2025 13:19:30 +0800</pubDate><description><![CDATA[摘要：本文介绍了在局域网GPU服务器(Linux)上搭建大模型服务，用于本地Windows系统VSCode代码补全的完整流程。服务器端通过Docker安装Ollama服务并加载模型(如qwen2.5-coder、llama3)，本地通过端口转发将127.0.0.1:11434映射到服务器，最后配置Continue插件的config.yaml文件指定模型用途(自动补全/对话/嵌入)。验证服务连通性后即可在VSCode中使用大模型辅助编程。文章还简要提到可进一步优化Ollama的GPU任务分配等高级配置。]]></description><category></category></item><item><title><![CDATA[高通开发板SNPE配置DSP/AIP环境]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/145896070</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/145896070</guid><author>wb3533366</author><pubDate>Thu, 27 Feb 2025 14:14:14 +0800</pubDate><description><![CDATA[【代码】高通开发板SNPE配置DSP/AIP环境。]]></description><category></category></item><item><title><![CDATA[关于adb shell登录开发板后terminal显示不完整]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/143789914</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/143789914</guid><author>wb3533366</author><pubDate>Fri, 15 Nov 2024 11:17:17 +0800</pubDate><description><![CDATA[adb shell 登录开发板后，终端显示不完整，超出边界后就会出现奇怪的问题]]></description><category></category></item><item><title><![CDATA[内存检查工具valgrind交叉编译具体流程]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/142825077</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/142825077</guid><author>wb3533366</author><pubDate>Thu, 10 Oct 2024 17:25:39 +0800</pubDate><description><![CDATA[valgrind，非常强大的内存检查工具，能检查内存泄漏、越界等。最大的优点是不污染源代码，直接使用即可。ps： sanitizer也很强大，但需要编译器支持，这个局限还是有点大的。]]></description><category></category></item><item><title><![CDATA[SAM核心代码注释总结]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/141682099</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/141682099</guid><author>wb3533366</author><pubDate>Wed, 25 Sep 2024 09:00:00 +0800</pubDate><description><![CDATA[最近看sam2，顺便注释了下sam代码，方便回顾和分享。Segment Anything Model]]></description><category></category></item><item><title><![CDATA[算力不够也能玩大模型]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/136347996</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/136347996</guid><author>wb3533366</author><pubDate>Wed, 22 May 2024 12:04:22 +0800</pubDate><description><![CDATA[计算资源不够怎么训练大模型？这个问题在当下甚至之后的一段时间应该都是比较常见的，毕竟数据量、模型参数量增加的速度远超过算力的提升速度，再者不是每个组织或者个人都拥有那么多的显卡。本文整理了一些行之有效的方法，希望能对那些和我一样买不起卡的道友有点帮助。]]></description><category></category></item><item><title><![CDATA[VAE一步一步详细推导]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/137464596</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/137464596</guid><author>wb3533366</author><pubDate>Fri, 19 Apr 2024 16:22:47 +0800</pubDate><description><![CDATA[最近在推DM，发现VAE又忘了，重新看一遍挺费事的，这一次干脆把每一步的推导过程和细节都记录下来，方便下次快速捡起来。]]></description><category></category></item><item><title><![CDATA[笔记：立体视觉涉及的相机模型、参数、3D坐标系、内外参计算等]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/136021934</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/136021934</guid><author>wb3533366</author><pubDate>Wed, 28 Feb 2024 13:58:29 +0800</pubDate><description><![CDATA[3D视觉、SLAM、自动驾驶算法经常会碰到多传感器标定、数据对齐的问题，比如下面这个图（上面就包含了7个camera，每个camera的位姿不同，采集到的数据也不同，怎么通过这些数据重建3D场景就需要用到对齐。下图是的采集环境配置图：关于这一块的知识点有点多，容易忘，不记录下下次又得从头再来。]]></description><category></category></item><item><title><![CDATA[指南：Triton Inference Server]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/135824213</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/135824213</guid><author>wb3533366</author><pubDate>Wed, 24 Jan 2024 16:35:20 +0800</pubDate><description><![CDATA[关于triton inference server的详细记录，涉及安装，服务部署，优化。通过例子一步一步搭建一个可实际使用的服务。]]></description><category></category></item><item><title><![CDATA[推荐：Triton Inference Server]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/135500387</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/135500387</guid><author>wb3533366</author><pubDate>Wed, 10 Jan 2024 13:57:33 +0800</pubDate><description><![CDATA[介绍一款高效的模型服务部署工具]]></description><category></category></item><item><title><![CDATA[NNI调试记录-Pruning]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/135221746</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/135221746</guid><author>wb3533366</author><pubDate>Tue, 26 Dec 2023 16:31:41 +0800</pubDate><description><![CDATA[记录基于NNI的模型剪枝，压缩，小型化，加速端侧推理效率。包括参数介绍，流程代码，以及建议。]]></description><category></category></item><item><title><![CDATA[yolov8快速实现场景分类]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/135215590</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/135215590</guid><author>wb3533366</author><pubDate>Tue, 26 Dec 2023 10:43:20 +0800</pubDate><description><![CDATA[快速实现一个基于yolov8的场景分类训练和预测流程]]></description><category></category></item><item><title><![CDATA[NNI-模型优化工具]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/134978044</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/134978044</guid><author>wb3533366</author><pubDate>Wed, 13 Dec 2023 18:07:13 +0800</pubDate><description><![CDATA[介绍NNI，一款微软出品的AutoML工具，高效优化模型]]></description><category></category></item><item><title><![CDATA[NNI调试记录-NAS]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/134965872</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/134965872</guid><author>wb3533366</author><pubDate>Wed, 13 Dec 2023 12:12:41 +0800</pubDate><description><![CDATA[记录NNI之NAS（模型搜索）Neural Architecture Search]]></description><category></category></item><item><title><![CDATA[NNI调试记录-HPO]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/134730329</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/134730329</guid><author>wb3533366</author><pubDate>Fri, 01 Dec 2023 11:56:17 +0800</pubDate><description><![CDATA[NNI调试记录]]></description><category></category></item><item><title><![CDATA[SNPE调试记录]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/134684724</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/134684724</guid><author>wb3533366</author><pubDate>Wed, 29 Nov 2023 12:23:46 +0800</pubDate><description><![CDATA[SNPE调试]]></description><category></category></item><item><title><![CDATA[关于win10下ssh登录linux中文乱码的问题]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/132210142</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/132210142</guid><author>wb3533366</author><pubDate>Thu, 10 Aug 2023 15:18:03 +0800</pubDate><description><![CDATA[关于utf8和gbk的对比可以参考网上科普，需要同时用到中英的，建议还是统一使用UTF8，这样会避免很多类似的bug。网上很多方法都不行，包括修改tabby的配置文件，修改gbk2312的。]]></description><category></category></item><item><title><![CDATA[公网访问NAS配置流程]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/132006240</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/132006240</guid><author>wb3533366</author><pubDate>Sun, 30 Jul 2023 15:15:51 +0800</pubDate><description><![CDATA[记录下，外网访问NAS的配置过程以及注意事项]]></description><category></category></item><item><title><![CDATA[可见光(RGB)-热成像(thermal)图像翻译(风格迁移)实践记录]]></title><link>https://blog.youkuaiyun.com/wb3533366/article/details/131728464</link><guid>https://blog.youkuaiyun.com/wb3533366/article/details/131728464</guid><author>wb3533366</author><pubDate>Mon, 24 Jul 2023 17:44:38 +0800</pubDate><description><![CDATA[记录下可见光到红外热成像的图像翻译（风格迁移）算法实践]]></description><category></category></item></channel></rss>