<?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>Python on Simplestory</title><link>https://simplestory.github.io/tags/python/</link><description>Recent content in Python on Simplestory</description><generator>Hugo</generator><language>zh-cn</language><copyright>Simplestory</copyright><lastBuildDate>Mon, 19 Feb 2018 00:00:00 +0000</lastBuildDate><atom:link href="https://simplestory.github.io/tags/python/index.xml" rel="self" type="application/rss+xml"/><item><title>Ubuntu配置Django</title><link>https://simplestory.github.io/posts/20180219_c851e812699d1207837d404c0af593ce/</link><pubDate>Mon, 19 Feb 2018 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20180219_c851e812699d1207837d404c0af593ce/</guid><description>&lt;blockquote&gt;
&lt;p&gt;2018新春之际，鬼知道我经历了些什么，在大年初四推博文。Django其实是在新年前配置好的，当时刚好学到了python做web开发方面的知识就顺手配置了。&lt;/p&gt;
&lt;/blockquote&gt;</description></item><item><title>Linux配置Tensorflow</title><link>https://simplestory.github.io/posts/20180204_68b9e972b5a534bc31d12d9be53b57ec/</link><pubDate>Sun, 04 Feb 2018 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20180204_68b9e972b5a534bc31d12d9be53b57ec/</guid><description>&lt;blockquote&gt;
&lt;p&gt;套用&lt;a href="http://www.tensorfly.cn/"&gt;TensorFlow中文社区&lt;/a&gt;的一句话：TensorFlow，一个用于人工智能的开源神器。&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;&lt;strong&gt;配置使用环境&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;系统：Ubuntu16.04(LTS)&lt;/li&gt;
&lt;li&gt;python版本：python3.6（使用Anaconda建立虚拟环境）&lt;/li&gt;
&lt;li&gt;Nvidia卡：Geforce 920M（如果没有Nvidia卡，则只能安装CPU版本）&lt;/li&gt;
&lt;/ul&gt;
&lt;h1 id="tensorflow安装"&gt;Tensorflow安装&lt;/h1&gt;
&lt;p&gt;tensorflow分为两个CPU/GPU两个版本，我建立了两个python虚拟环境，分别安装了这两个版本。在此记录一下安装的痛苦过程&lt;/p&gt;</description></item><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>Python的类</title><link>https://simplestory.github.io/posts/20170820_7cb802827b60ef8c770d824ec28a65a0/</link><pubDate>Sun, 20 Aug 2017 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20170820_7cb802827b60ef8c770d824ec28a65a0/</guid><description>人生苦短，我用Python</description></item><item><title>Python，面向对象</title><link>https://simplestory.github.io/posts/20170810_3193456a2ce85ef1e01f5a219b37cebd/</link><pubDate>Thu, 10 Aug 2017 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20170810_3193456a2ce85ef1e01f5a219b37cebd/</guid><description>人生苦短，我用Python</description></item></channel></rss>