labelpoint_affine.py

opencv 实现模板匹配，方法对图像、视频都可用，简单、易懂！(Opencv achieve template matching procedures, simple, easy to use, can realize the matching of image, video in!)

利用python编程应用在社交网络算法在金融反欺诈中，在社区内使用最短路径算法来发现失联用户与一个正常还款用户的关系链 分析指标：degree、closeness centrality、betweenness centrality、cluster coefficient、triangle count、connected components算法：PageRank社区发现：GN、FastUnfolding、LPA、SLPA、WalkTrap

本书由 Immunity 公司的高级安全研究员 Justin Seitz 精心撰写。作者根据自己在安全界，特别是渗透测试领域的几十年经验，向读者介绍了 Python 如何被用在黑客和渗透测试的各个领域，从基本的网络扫描到数据包捕获，从 Web 爬虫到编写 Burp 扩展工具，从编写木马到权限提升等。(The book is written by Justin Seitz, a senior security researcher at Immunity company. Based on his decades of experience in the security community, especially in the field of penetration testing, the author introduces how Python is used in various fields of hacker and penetration testing, from basic network scanning to packet capture, from Web crawler to Burp extension tool, from writing Trojan to privilege escalation, and so on.)

Python数据挖掘入门与实践 本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)

本书主要针对想提高机器学习技能的 Python 开发人员，帮助他们解决某一特定的项目或是提升相关的技能。(This book focuses on Python developers who want to improve machine learning skills to help them solve a particular project or improve their skills.)

pytorch的tutorial，介绍了pytorch的基本功能和应用，附有使用手册(the tutorial of pytorch that introduces the basic function and the application of pytorch)

实现语音的分割和识别，语音分割通过短时能量和过零率，语音识别通过dtw算法。(audio cut and reconige)

opencv的一些实例教程，供初学者拿来使用，更好的入门。(opencv tutorial examples, for beginners to use it, the better entry.)

说明：  基于unittest的测试用例代码，仅供参考(Unittest-based test case code,for reference only)

nao机器人的讲故事程序，可以进行人机互动，非常合适演示用。(Nao robot storytelling program, you can interact with the human machine, very suitable for demonstration.)