搜索资源列表
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Letters recognition within images
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人脸检测原理及示例(OpenCV+Python) 做人脸识别方向的可以参考下-Face detection theory and examples (OpenCV+ Python) to do face recognition, under the direction of the can refer to
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这个是自己用Python2.7写的基于opencv的车牌识别,目前识别率还是不怎么高,车牌定位采用的是形态学变换,分割是自己写的一个算法,识别部分采用的是kNN算法,有详细的注释!-This is his written in Python2.7 opencv based license plate recognition, the recognition rate is not very high, license plate location is the morphological tra
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利用支持向量机SVM进行人脸识别，采用Python语言编写。-Face recognition based on SVM, using the Python language.
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人脸识别与检测程序，基于贝叶斯与最大期望，Python实现(Face recognition and detection program based on bayesian and maximum expectations)
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Irisgraphy is python openCV project to track color of iris,eye-ball, for genetic purpose
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用Python写的关于SVM算法的人脸识别小程序(Written in Python on the SVM algorithm for face recognition applet)
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这是一个基于python和opencvd的车牌定位和识别的代码(This is a license plate location and recognition based on Python and opencvd code)
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一个可在微信端使用的深度学习的图像识别程序，使用keras开发，文件内包含训练集下载方式。(A deep learning in WeChat use of the image recognition program, using keras development, the document contains the training set, Download methods.)
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采用KNN算法，用PYTHON语言实现的手写数字图像识别(Using KNN algorithm, handwritten digital image recognition with PYTHON language)
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图形识别，机器学习，数字识别，python学习(Graph recognition, machine learning, digit recognition, python learning)
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利用Python在树莓派上实现一个人脸识别系统(Using Python to implement a face recognition system on raspberry pi)
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简单的手写体字符识别，利用了k近邻和支持向量机算法(Simple handwritten character recognition, using the k nearest neighbor and support vector machine algorithm)
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通过python第三方库和matlab神经网络工具箱实现人脸识别(Face recognition using MATLAB and python through neural network)
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使用opencv进行图像识别，识别以白底彩色的字母图形，主要用opencv的函数完成识别过程(Opencv is used to identify the image and identify the alphabet with white background color. The recognition process is accomplished mainly by the function of OpenCV.)
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本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过
大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、
立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on
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基于CNN的手势识别，可识别五种手势，拳头，手掌，比V，OK，还有空。要求环境：opencv，keras，theano，python2.7(CNN based gesture recognition can identify five kinds of gestures, fist, palms, than V, OK, and empty. Requirements for the environment: opencv, keras, theano, python2.7)
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基于opencv的手势识别的猜拳游戏，可实现识别石头，剪刀，布，并和电脑的随机结果比较，判断输赢。(The opencv gesture recognition based on game, can realize the identification of stone, scissors, cloth, and compare the results and random computer, to determine the winners and losers.)
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运用python语言，基于dbn的手写数字体识别(Handwritten numeral recognition based on dbn using python language)
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算法思想来自于网上资源，先使用图像边缘和车牌颜色定位车牌，再识别字符。车牌定位在predict方法中，为说明清楚，完成代码和测试后，加了很多注释，请参看源码。车牌字符识别也在predict方法中，请参看源码中的注释，需要说明的是，车牌字符识别使用的算法是opencv的SVM， opencv的SVM使用代码来自于opencv附带的sample，StatModel类和SVM类都是sample中的代码。SVM训练使用的训练样本来自于github上的EasyPR的c++版本。由于训练样本有限，你测试时会
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