<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Opencv on Simplestory</title><link>https://simplestory.github.io/tags/opencv/</link><description>Recent content in Opencv on Simplestory</description><generator>Hugo</generator><language>zh-cn</language><copyright>Simplestory</copyright><lastBuildDate>Sun, 05 Nov 2017 00:00:00 +0000</lastBuildDate><atom:link href="https://simplestory.github.io/tags/opencv/index.xml" rel="self" type="application/rss+xml"/><item><title>Opencv实现汽车违规检测识别</title><link>https://simplestory.github.io/posts/20171104_bb6e9cb8623b3bf044c62bbbca472d53/</link><pubDate>Sun, 05 Nov 2017 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20171104_bb6e9cb8623b3bf044c62bbbca472d53/</guid><description>&lt;blockquote&gt;
&lt;p&gt;Opencv包含了超过2500个函数，几乎任何一个能想到的成熟算法都可以通过调用Opencv的函数来实现，超级方便。这篇博文结合了Python与Opencv来实现在监控视频中识别汽车并检测其是否违规（压双黄线）。&lt;/p&gt;
&lt;/blockquote&gt;</description></item><item><title>Linux下安装OpenCV</title><link>https://simplestory.github.io/posts/20171020_df3860e05b3ca04bdc2f774c5c1914fd/</link><pubDate>Fri, 20 Oct 2017 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20171020_df3860e05b3ca04bdc2f774c5c1914fd/</guid><description>&lt;blockquote&gt;
&lt;p&gt;近期由于项目需要，要用到计算机视觉识别，所以折腾起了OpenCV，虽然安装过程曲折漫长，但是配合Python使用起来体验还是相当不错的。在此记录OpenCV安装编译过程。&lt;/p&gt;
&lt;/blockquote&gt;</description></item></channel></rss>