Intellij IDEA搭建SpringBoot + MySql + mybatis项目
使用IDEA搭建了spring-boot+mybatis的工程，实现了和MySQL数据库的交互。
使用IDEA搭建了spring-boot+mybatis的工程，实现了和MySQL数据库的交互。
使用IDEA搭建了spring-boot+mybatis的工程，实现了和MySQL数据库的交互。
李航 统计学习方法 kd树实现
kd树(K-dimension tree)是一种对k维空间中的实例点进行存储以便对其进行快速检索的树形数据结构。kd树是是一种二叉树，表示对k维空间的一个划分，构造kd树相当于不断地用垂直于坐标轴的超平面将K维空间切分，构成一系列的K维超矩形区域。kd树的每个结点对应于一个k维超矩形区域。利用kd树可以省去对大部分数据点的搜索，从而减少搜索的计算量。
统计学习方法 kd树实现
包含kd树的建立以及搜索两部分程序，具体算法过程如下：
给定一个目标点，搜索其最近邻，首先找到包含目标点的叶节点，然后从该叶节点出发，依次退回到其父节点，不断查找是否存在比当前最近点更近的点，直到退回到根节点时终止，获得目标点的最近邻点。如果按照流程可描述如下：
1. 从根节点出发，若目标点x当前维的坐标小于切分点的坐标，则移动到左子节点，反之则移动到右子节点，直到移动到最后一层叶节点。
2. 以此叶结点为“当前最近点”
3. 递归的向上回退，在每个节点进行如下的操作：
a.如果该节点保存的实例点距离比当前最近点更小，则该点作为新的“当前最近点”
b.检查“当前最近点”的父节点的另一子节点对应的区域是否存在更近的点，如果存在，则移动到该点，接着，递归地进行最近邻搜索。如果不存在，则继续向上回退
4. 当回到根节点时，搜索结束，获得最近邻点
python pygame 小游戏
使用Python+pygame写的三子棋的小游戏。
Python知识用到了类及方法的建立，库的导入
Pygame涉及到了画布的建立，背景的绘制，矩形，圆形，线条的绘制等
Android 台球小游戏源码
我玩桌球源码，可直接运行，分为计时赛和练习赛，还有排行榜功能，很适合学习开发使用……
Mastering OpenCV with Practical Computer Vision Projects
本书只是通过几个案例来熟悉一下几个常用计算机视觉的模块应用，开头用了两个增强现实的例子，有个SVM的例子，还有个结合Kinect的例子，蛮有针对性，对刚入门计算机视觉的同学很实用。
Computer Vision is fast becoming an important technology and is used in Mars robots, national security systems, automated factories, driver-less cars, and medical image analysis to new forms of human-computer interaction. OpenCV is the most common library for computer vision, providing hundreds of complex and fast algorithms. But it has a steep learning curve and limited in-depth tutorials.
Mastering OpenCV with Practical Computer Vision Projects is the perfect book for developers with just basic OpenCV skills who want to try practical computer vision projects, as well as the seasoned OpenCV experts who want to add more Computer Vision topics to their skill set or gain more experience with OpenCV’s new C++ interface before migrating from the C API to the C++ API.
Each chapter is a separate project including the necessary background knowledge, so try them all one-by-one or jump straight to the projects you’re most interested in.
Create working prototypes from this book including real-time mobile apps, Augmented Reality, 3D shape from video, or track faces & eyes, fluid wall using Kinect, number plate recognition and so on.
Mastering OpenCV with Practical Computer Vision Projects gives you rapid training in nine computer vision areas with useful projects.
- Allows anyone with basic OpenCV experience to rapidly obtain skills in many computer vision topics, for research or commercial use
- Each chapter is a separate project covering a computer vision problem, written by a professional with proven experience on that topic
- All projects include a step-by-step tutorial and full source-code, using the C++ interface of OpenCV
opencv2.4.9+vs2013_打开摄像头
opencv2.4.9+vs2013+打开摄像头,边缘检测,转化为灰度图
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