五子棋游戏代码

基于OFDM的多准则下认知无线电资源分配问题的研究,认知无线电资源分配(Cognitive radio resource allocation problem of OFDM multi-criteria research, cognitive radio resource allocation)

说明：  该程序用于Python读取vision research 公司phantom 高速相机的cine文件(this file is for reading cine files recorded by vision research phantom high speed camera)

说明：  keras/pytorch实现crnn+ctc实现不定长中文OCR识别 文字方向检测 0、90、180、270度检测 文字检测 后期将切换到keras版本文本检测 实现keras端到端的文本检测及识别 不定长OCR识别(Kernas/pytorch Implementation of crnn+ctc for Uncertain Length Chinese OCR Recognition Text Direction Detection 0,90,180,270 Degree Detection Text detection will switch to keras version in the later stage of text detection to realize keras end-to-end text detection and recognition Uncertain Length OCR Recognition)

摄像头检测心率python程序，通过电脑的摄像头来检测心率，这里主要用到了图像的算法，检测人体额头的颜色变化(Python program the camera to detect heart rate, through the computer' s camera to detect heart rate, where the main image of the algorithm used to detect changes in body color forehead)

说明：  建立二维、三维单胞模型的周期性边界条件python脚本程序(Periodic boundary conditions for building three-dimensional and two-dimensional cell model)

一个完整的python游戏开发例子，内含十个经典人物:蜘蛛侠，蝙蝠侠，马里奥，孙悟空，隆，还有忍者龙剑传的主角。 例子包含各种游戏常见要素：键盘操作，魔法特效，击中检测.源于pyglet1.12自带小例子改编。开发环境python2.5+pyglet1.12 pyglet是BSD授权。最开放的授权方式，等于完全没有限制，可以自由用于制作一切商业软件。( complete game development python example , contains ten classic characters : Spider-Man , Batman, Mario , the Monkey King , Lung , and Ninja Gaiden protagonist. Common examples include various game elements: keyboard, magic effects, hit detection comes small example pyglet1.12 adaptation . Development environment python2.5+ pyglet1.12 pyglet is BSD licensed . License most open , equal to no limit can be freely used for the production of all commercial software. )

说明：  python实现决策树分类的三种经典算法(Python realizes three classical arithmetic of decision tree classification)

mnist数据导入用于深度学习人工智能机器学习(Mnist data import for deep learning artificial intelligence machine learning)

说明：  统计学习是计算机及其应用领域的一门重要的学科本书全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、K近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归、与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(Statistical learning is an important subject in the field of computer and application of this book comprehensively systematically introduces the main methods of statistical learning, especially the supervision method of study, including the perception, K neighbor method, naive bayesian method, decision tree, logistic regression, and the maximum entropy model, support vector machine (SVM), promotion methods, the EM algorithm, the hidden markov model and conditional random field, etc.)

【实例简介】