人脸识别python代码

这是一个基于Python和Numpy函数库的手写识别系统实现，使用了KNN（K近邻算法）进行一个手写识别的简单实现。 能对手写数字0-9进行识别分类，来推断识别，也就是说要利用sklearn来训练一个K最近邻（k-Nearest Neighbor，KNN）分类器，用于识别数据集DBRHD的手写数字(This is a handwritten recognition system based on Python and Numpy function library, using KNN (K nearest neighbor algorithm) to implement a handwritten recognition. The handwritten number 0-9 can be classified and classified to infer recognition, that is, to use sklearn to train a K nearest neighbor (k-Nearest Neighbor, KNN) classifier to identify the handwritten numbers of the data set DBRHD.)

说明：  人脸识别中需要的resnet网络模型，用于处理人脸数据(RESNET network model for face recognition, which is used to process face data)

holt-winters 三次指数平滑算法,时间序列预测算法，带测试数据及Demo(Triple Order Exponential Smoothing, Holt-Winters algorithm, time series prediction algorithm with test data and Demo)

Implementation of an algorithm to recognize faces using PCA

这是一篇英文的关于强化学习的入门书籍，篇幅较短易于学习(Is an introductory book on reinforcement learning)

模拟Photoshop中的磁力套索的算法，主要是先用Opencv做梯度相关处理，然后用Djisktra最短路径搜索找到边缘。(Magnetic Lasso implementation using Python)

说明：  神经网络与深度学习案列代码，神经网络与深度学习教程例题代码(Neural Network and Deep Learning Case Code, Neural Network and Deep Learning Course Case Code)

675991+Keras图像深度学习实战.侯宜军%28带书签文字版%29(Keras Image Deep Learning Practical Combat. Hou Yijun%28 with Bookmark Text Version)

Cart-pole problem solition with python

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)