<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[程序猿的视界]]></title><description><![CDATA[IT进阶]]></description><link>https://blog.youkuaiyun.com/m0_37264397</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; m0_37264397]]></copyright><item><title><![CDATA[Beauty algorithm（七）瘦脸]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/135426719</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/135426719</guid><author>m0_37264397</author><pubDate>Wed, 10 Jan 2024 22:12:52 +0800</pubDate><description><![CDATA[瘦脸的实现采用局部平移法。]]></description><category></category></item><item><title><![CDATA[Beauty algorithm（六）大眼]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/135425344</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/135425344</guid><author>m0_37264397</author><pubDate>Sat, 06 Jan 2024 19:00:26 +0800</pubDate><description><![CDATA[前几篇主要介绍了唇妆、腮红、眼影、眉形渲染，它们都有一个共同点，关键点只需要检测一次，并且在获得目标区域融合渲染时，只是对像素点加权操作，处理速度快。而对于美颜，如大眼、缩鼻、缩下巴等操作，会产生局部形变，造成关键点移位。因此每次缩放后都要重新检测关键点，作为下次缩放的参考点，此过程会产生延时。]]></description><category></category></item><item><title><![CDATA[Beauty algorithm（五）眉形]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/135323798</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/135323798</guid><author>m0_37264397</author><pubDate>Sat, 06 Jan 2024 19:00:01 +0800</pubDate><description><![CDATA[由于dlib检测的眼部关键点缺少下沿点，无法将整个眉形区域表示出来，只能估算。]]></description><category></category></item><item><title><![CDATA[Beauty algorithm（四）眼影]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/135322789</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/135322789</guid><author>m0_37264397</author><pubDate>Sat, 06 Jan 2024 18:59:49 +0800</pubDate><description><![CDATA[略。]]></description><category></category></item><item><title><![CDATA[Beauty algorithm（三）腮红]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/135317835</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/135317835</guid><author>m0_37264397</author><pubDate>Sat, 06 Jan 2024 18:58:55 +0800</pubDate><description><![CDATA[查阅资料了解到腮红位于苹果肌处，同样使用关键点确定目标区域，然后对该区域进行渲染达到美妆效果。考虑到如果使用简单的RGB是很难做到特效，本篇采用模板方式进行区域融合。]]></description><category></category></item><item><title><![CDATA[Beauty algorithm（二）唇妆]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/135299950</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/135299950</guid><author>m0_37264397</author><pubDate>Sat, 06 Jan 2024 18:58:39 +0800</pubDate><description><![CDATA[实现唇妆过程中首先。]]></description><category></category></item><item><title><![CDATA[Beauty algorithm（一） 关键点检测]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/132765049</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/132765049</guid><author>m0_37264397</author><pubDate>Sat, 06 Jan 2024 13:00:14 +0800</pubDate><description><![CDATA[本篇使用dlib实现人脸、关键点检测，同时使用插值法拟合关键点绘制目标轮廓。]]></description><category></category></item><item><title><![CDATA[Intel openvino（二）demo]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/127142143</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/127142143</guid><author>m0_37264397</author><pubDate>Sun, 02 Oct 2022 15:53:10 +0800</pubDate><description><![CDATA[openvino demo]]></description><category></category></item><item><title><![CDATA[Intel openvino（一）API使用]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/127141178</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/127141178</guid><author>m0_37264397</author><pubDate>Sun, 02 Oct 2022 13:25:57 +0800</pubDate><description><![CDATA[Openvino使用]]></description><category></category></item><item><title><![CDATA[flask（四）Ubuntu flask +gunicorn]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/126963732</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/126963732</guid><author>m0_37264397</author><pubDate>Wed, 21 Sep 2022 21:17:18 +0800</pubDate><description><![CDATA[lask +gunicorn]]></description><category></category></item><item><title><![CDATA[flask（三）Ubuntu 系统中docker+nginx+flask]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/126963541</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/126963541</guid><author>m0_37264397</author><pubDate>Wed, 21 Sep 2022 21:15:00 +0800</pubDate><description><![CDATA[Ubuntu 系统中docker+nginx+flask]]></description><category></category></item><item><title><![CDATA[flask（二）虚拟机Ubuntu 系统中docker运行flask]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/126963315</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/126963315</guid><author>m0_37264397</author><pubDate>Wed, 21 Sep 2022 21:00:00 +0800</pubDate><description><![CDATA[虚拟机Ubuntu 系统中docker运行flask]]></description><category></category></item><item><title><![CDATA[flask（一）接口调试]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/126942551</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/126942551</guid><author>m0_37264397</author><pubDate>Tue, 20 Sep 2022 22:41:27 +0800</pubDate><description><![CDATA[flask接口调试]]></description><category></category></item><item><title><![CDATA[yolov5+shufflenet轻量化目标检测]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/126613763</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/126613763</guid><author>m0_37264397</author><pubDate>Tue, 30 Aug 2022 23:02:09 +0800</pubDate><description><![CDATA[yolov5轻量化检测]]></description><category></category></item><item><title><![CDATA[轻量级网络结构]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/126312226</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/126312226</guid><author>m0_37264397</author><pubDate>Sun, 14 Aug 2022 22:35:20 +0800</pubDate><description><![CDATA[轻量级网络]]></description><category></category></item><item><title><![CDATA[模型压缩（二）yolov5剪枝]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/126292621</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/126292621</guid><author>m0_37264397</author><pubDate>Thu, 11 Aug 2022 23:01:44 +0800</pubDate><description><![CDATA[yolov5剪枝]]></description><category></category></item><item><title><![CDATA[模型压缩（一）通道剪枝-BN层]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/126157647</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/126157647</guid><author>m0_37264397</author><pubDate>Mon, 08 Aug 2022 20:36:24 +0800</pubDate><description><![CDATA[通道剪枝]]></description><category></category></item><item><title><![CDATA[部分分类网络性能对比]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/126072347</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/126072347</guid><author>m0_37264397</author><pubDate>Sat, 30 Jul 2022 15:21:32 +0800</pubDate><description><![CDATA[部分分类网络性能对比]]></description><category></category></item><item><title><![CDATA[BiSeNetV2-面部分割 ncnn推理]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/125793621</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/125793621</guid><author>m0_37264397</author><pubDate>Thu, 14 Jul 2022 21:53:45 +0800</pubDate><description><![CDATA[BiSeNetV2-面部分割 ncnn推理]]></description><category></category></item><item><title><![CDATA[BiSeNetV2-面部分割]]></title><link>https://blog.youkuaiyun.com/m0_37264397/article/details/124843560</link><guid>https://blog.youkuaiyun.com/m0_37264397/article/details/124843560</guid><author>m0_37264397</author><pubDate>Thu, 14 Jul 2022 21:38:30 +0800</pubDate><description><![CDATA[一、论文


BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation 

https://arxiv.org/abs/2004.02147



BiSeNet V2将这些空间细节和分类语义分开处理，以实现高精度和高效率的实时语义分割。为此，提出了一个有效的架构，在速度和精度之间进行权衡，称为双边分割网络(BiSeNet V2)。该体系结构包括:(1)一个细节分支，具有宽通道和浅层，用]]></description><category></category></item></channel></rss>