<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[fflc2008的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/fflc2008</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; fflc2008]]></copyright><item><title><![CDATA[汇总winows环境下安装 anaconda+dlib+face_recognition]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/81081687</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/81081687</guid><author>fflc2008</author><pubDate>Tue, 17 Jul 2018 15:11:24 +0800</pubDate><description><![CDATA[ 

安装anaconda(Python3.6),必须3.6以上
	创建py36环境:conda create -n py36 python=3.6
	或者在anaconda中新建一个环境
	激活 conda activate py36或者从anaconda中进入新建的环境中,点击“Open Terminal”进入该Python环境下的dos窗口 
	
	dlib安装:通过链接：https://p...]]></description><category></category></item><item><title><![CDATA[Python3.6 + TensorFlow 安装（Windows 64 bit）]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/81058338</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/81058338</guid><author>fflc2008</author><pubDate>Sun, 15 Jul 2018 23:10:34 +0800</pubDate><description><![CDATA[点击打开链接1.去下面的网址下载你需要的包。（TensorFlow，nltk,numpy 等等都可以找到）https://www.lfd.uci.edu/~gohlke/pythonlibs/2.这里以tensorflow为例，下载一个对应版本的TensorFlow3.把该文件放到Python安装路径下的Scripts文件夹下，如D:\Python36\Scripts4.打开cmd, 进入该路径，...]]></description><category></category></item><item><title><![CDATA[机器学习概括性解释]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/81016787</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/81016787</guid><author>fflc2008</author><pubDate>Thu, 12 Jul 2018 15:47:32 +0800</pubDate><description><![CDATA[点击打开链接]]></description><category></category></item><item><title><![CDATA[python环境skimage库的安装]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/81014501</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/81014501</guid><author>fflc2008</author><pubDate>Thu, 12 Jul 2018 14:10:15 +0800</pubDate><description><![CDATA[第一种可能是没有安装skimage或者部分依赖库没有安装：首先安装python-Image和python-skimage、python-matplotlib。skimage库需要依赖 numpy+mkl 和scipypython-skimage包依赖于matplotlib，scipy，pil，numpy和six。选择集成开发环境,anaconda点击打开链接...]]></description><category></category></item><item><title><![CDATA[Python环境中,利用opencv做人脸检测]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/81009654</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/81009654</guid><author>fflc2008</author><pubDate>Thu, 12 Jul 2018 08:50:40 +0800</pubDate><description><![CDATA[
CascadeClassifier是Opencv中做人脸检测时候的一个级联分类器，该类中封装的是目标检测机制即滑动窗口机制+级联分类器的方式。数据结构包括Data和FeatureEvaluator两个主要部分。Data中存储的是从训练获得的xml文件中载入的分类器数据；而FeatureEvaluator中是关于特征的载入、存储和计算。这里采用的训练文件是OpenCV中默认提供的haarcasca...]]></description><category></category></item><item><title><![CDATA[opencv在Python环境下的安装和使用]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/81009337</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/81009337</guid><author>fflc2008</author><pubDate>Thu, 12 Jul 2018 07:59:58 +0800</pubDate><description><![CDATA[
OpenCV是一个C++库，用于实时处理计算机视觉方面的问题，涵盖了很多计算机视觉领域的模块。 OpenCV有两个Python接口，老版本的cv模块使用OpenCV内置的数据类型，新版本的cv2模块使用NumPy数组。对于新版本的模块，可以通过下面方式导入：import cv21而老版本的模块则通过下面方式导入：import cv2.cvOpenCV安装pip install --upgrade...]]></description><category></category></item><item><title><![CDATA[python Windows环境搭建,安装jupyter,ipython,pycharm]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/80995322</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/80995322</guid><author>fflc2008</author><pubDate>Wed, 11 Jul 2018 10:28:18 +0800</pubDate><description><![CDATA[一 : Windows 版本程序下载二:安装:勾选“Add Python 3.6 to PATH”，然后选择“Customize installation”。,一路next,只改动一下 ,安装路径为D:\SoftWare\Python\Python36 三:自定义的Python 的安装目录 （D:\SoftWare\Python\Python36\Scripts）,默认已经安装了pip,(pip ...]]></description><category></category></item><item><title><![CDATA[68013高速设计]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/80964855</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/80964855</guid><author>fflc2008</author><pubDate>Mon, 09 Jul 2018 08:46:58 +0800</pubDate><description><![CDATA[usb2.0理论速度480mbps,实际24*16=384mbps]]></description><category></category></item><item><title><![CDATA[AI初识]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/80931109</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/80931109</guid><author>fflc2008</author><pubDate>Thu, 05 Jul 2018 18:05:55 +0800</pubDate><description><![CDATA[2018.07.05初识AI]]></description><category></category></item><item><title><![CDATA[C总结]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/80931032</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/80931032</guid><author>fflc2008</author><pubDate>Thu, 05 Jul 2018 18:02:28 +0800</pubDate><description><![CDATA[1:函数,变量的存储类型,作用范围]]></description><category></category></item><item><title><![CDATA[C++总结]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/80929904</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/80929904</guid><author>fflc2008</author><pubDate>Thu, 05 Jul 2018 17:02:25 +0800</pubDate><description><![CDATA[test]]></description><category></category></item><item><title><![CDATA[new year]]></title><link>https://blog.youkuaiyun.com/fflc2008/article/details/42588873</link><guid>https://blog.youkuaiyun.com/fflc2008/article/details/42588873</guid><author>fflc2008</author><pubDate>Sat, 10 Jan 2015 21:50:32 +0800</pubDate><description><![CDATA[happy]]></description><category></category></item></channel></rss>