一些链接、资源（持续更新）

https://www.liaoxuefeng.com/                     //廖雪峰，学习编程，推荐

http://www.cnblogs.com/harrisonpc/archive/2012/11/29/Harrison_VideoTracking.html       //TLD Brief Introduction：

http://www.cnblogs.com/tornadomeet/archive/2012/12/11/2813534.html  //基础学习笔记之opencv(22)：learning OpenCV书中一个连通域处理函数

https://developers.google.cn/machine-learning/crash-course/  //machine learning course

http://www.cnblogs.com/nktblog/p/4027138.html   //opencv 连通域需要的函数解析

http://blog.jobbole.com/70549/        //傅立叶变换

https://mp.weixin.qq.com/s/Jhi9TWQqhJIyG7cakgo2Xg   //修改一个像素，就能让神经网络识别图像出错

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https://repo.continuum.io/archive/      //Anaconda各版本的下载

https://www.lfd.uci.edu/~gohlke/pythonlibs/#opencv  //Opencv+Python    pip install 路径+安装包

https://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247483955&idx=1&sn=bafcbf47bd04b16050c6ec3646f1df07&scene=21#wechat_redirect //ECO目标跟踪

链接：https://pan.baidu.com/s/1gf9zMG7 密码：4e62 //Reinforcement Learning-An Introduction

https://www.analyticsvidhya.com/blog/2016/04/complete-tutorial-tree-based-modeling-scratch-in-python/   //随机森林