搜索资源列表
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基于Python的KNN算法实现，并在手写识别数据上进行了测试。-Python-based KNN algorithm, and tested on handwriting recognition data.
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联合贝叶斯代码，主要用于做人脸识别的，使用python语言写的-Joint Bayesian code, mainly used to make face recognition using python language to write
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Python-brain-rhythms
Is an open source code developed in the Signal Processing and Pattern Recognition Research Group at the Universidad Nacional de colombia for preprocessing EEG signals and obtain, analyze, and graph brain rhythms.
Python-br
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SVM分类程序，Python语言实现，动作识别-SVM classification procedures, Python language, action recognition
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语音识别python源码 导航开发树莓派(Python source code for speech recognition, navigation development, raspberry pie)
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可以训练，并且对比出人脸识别的正确率，用python编写，很好的一个例子(Can be trained, and compare the correct rate of face recognition, written in python, a good example)
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这是基于python 编写的 adaboost源码 和说明，直接调用即可。(This package implements a framework of adaboost, the famous Machine Learning algorithm. It is widely used in face related issues such as Face Recognition.)
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给出一个多个图形的一幅图，识别里面的圆，进行灰度处理，边缘分割等处理，最后标识出图片中的所有圆形。(Given a picture that used for multiple graphics recognition, inside the picture,detect circle include gray processing, edge segmentation, and finally identifies all circles.)
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用svm算法实现手写识别,核函数使用径向基核函数(Handwritten recognition using SVM algorithm)
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两个关于人脸定位和人脸识别的python实现方法的简单代码。(Two simple code about the python implementation of face positioning and face recognition)
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基于python的cifar10数据集的识别和读取的三种方法(Recognition and reading of cifar10 data set based on Python)
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通过神经网络利用matlab和python实现人脸识别(Face recognition using MATLAB and python through neural network)
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深度学习时间手写数字识别，使用python和tensorflow实现(Handwritten numerals recognition in depth learning time)
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卷积神经网络面部识别利用python 实现(Python implementation of convolution neural network face recognition)
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用PCA和SVM实现人脸识别，是经典的人脸识别Python代码(Face recognition using PCA and SVM)
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利用百度的ORC api进行文字提取识别，(Using Baidu's ORC API for text extraction and recognition,)
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这是python机器学习实例这本书的第十章， 其中介绍了人脸识别(This is python machine learning this book chapter ten code, face recognition are introduced)
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一份用tensorflow平台做的cnn分类时序信号，是分类UCI 项目中的人体活动识别（HAR）数据集。该数据集包含原始的时序数据和经预处理的数据（包含 561 个特征）(A CNN classification timing signal made by tensorflow platform is a human activity recognition (HAR) dataset in the classified UCI project. The dataset contains or
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eye recognition, special for iris recognition
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基于python和opencv的车牌识别,包括车牌提取和字符识别
1,plate.py为提取和识别图片里面的车牌号码
2,切割和识别第一步车牌图片里面的字符,提取特征(License plate recognition based on Python and opencv, including license plate extraction and character recognition
1. Plate.py is used to extract and ide
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