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Description: 卡内基梅隆大学，采用人工神经网络方法进行人脸训练和识别的c程序源代码，程序中注释比较详细，不多说了。-Carnegie Mellon University, artificial neural network method for training and Face Recognition c source code, procedures Notes in greater detail, not much to say.
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Size: 316416 |
Author: 丹 |
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Description: ChainCascade， harr 特征进行分类器训练，得到一个级联的boosted分类器，训练目标特征，检测物体，这是从opencv库 转化成 vc++源代码，有一位博士完成，很不错。-ChainCascade, Harr features classifier training to be a cascade boosted classifier, training objectives features, object detection, which is OpenCV library into vc source code, complete with a doctorate, is pretty good.
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Size: 323584 |
Author: 陈其星 |
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Description: 用opencv自带的训练器训练各种分类器的指导手册，内含正负例的搜集，训练和检测说明-opencv used for the training, bringing their training for the various classifications instruction manual containing positive and negative cases of collecting, Training and testing shows
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Size: 283648 |
Author: 大毛 |
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Description: opencv中用到的harr训练的详细介绍,含截图-opencv Harr training used in the detailed introduction, including screenshots
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Size: 113664 |
Author: wangjun |
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Description: 完整利用openCV做联机手写大写英文字母识别的例子.利用了联机手写的笔画数目，笔画轨迹做为特征量进行识别。训练测试接近100％.实际识别也比较准。-Full use of online handwritten openCV do uppercase letters of the alphabet to identify examples. Use of the number of online handwritten strokes, stroke trajectory as identification features. Training test close to 100. The actual identification of more potential.
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Size: 262144 |
Author: 小西 |
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Description: 人脸检测程序,使用Adaboost算法训练的分类器，分类效果良好
OpenCV平台-Face detection procedures, the use of Adaboost classifier training algorithm, classification results OpenCV platform
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Size: 2048 |
Author: Neo |
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Description: 基于opencv的人脸检测程序 以训练好了样本。-Based on the opencv face detection procedures to the training samples well.
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Size: 1022976 |
Author: 岳安志 |
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Description: 找出人脸，会把眼睛，鼻子，用红线圈起来，用C++与OPenCV结合实现。-Identify the human face, will be the eyes, nose, with red coils, use C++ and realize OPenCV combination.
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Size: 1475584 |
Author: 侯小刚 |
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Description: 基于graphcut的背景建模程序，其中具备阴影去除功能，建模时对rgb三个颜色通道进行了高斯模型训练。程序需要OpenCV 1.0 的支持。-This is a C implementation of background subtraction given a set of background frames as a training set.The background model is per-pixel RGB space Gaussian, assuming independence between RGB channels.
OpenCV 1.0 is required for I/O purpose.
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Size: 14336 |
Author: taotaoking |
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Description: Opencv Haar training, the setting and parameter is configed. you can debug into the training process to get the whole flowchart of adaboost training.
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Size: 84992 |
Author: tuzhiguo |
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Description: OPENCV训练过程的说明文档，
在样本创建；训练分类器；利用训练器进行目标检测作了操作说明
源程序在安装OPENCV时，自带apps\HaarTraining-OPENCV training process documentation, created in the sample training classifier the use of training devices for target detection was made in the installation instructions OPENCV source, the own apps \ HaarTraining
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Size: 7168 |
Author: wangbiao |
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Description: OpenCV training sample code.
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Size: 2048 |
Author: Wolf |
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Description: 这是一篇关于分类器的文章 OpenCV训练分类器,该方法的基本步骤为： 首先，利用样本（大约几百幅样本图片）的 harr 特征进行分类器训练，得到一个级联的boosted 分类器。-Discrete Adaboost, Real Adaboost, Gentle Adaboost and Logitboost
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Size: 80896 |
Author: 周可 |
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Description: adaboost 的训练程序，结合OPENCV的训练，可用于各种图形的检测-training adaboost class, also use opencv training example, you can training your own objects for detection.
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Size: 12288 |
Author: tuzhiguo |
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Description: opencv 人脸 训练的 一些算法说明 和准备工作-opencv face training preparation instructions and some algorithms
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Size: 22528 |
Author: 江守超 |
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Description: OpenCV训练学习之训练程序剖析 -Learning OpenCV Training Analysis Training Program
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Size: 142336 |
Author: 江守超 |
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Description: matlab图像特征识别。分类器的训练方法。很好的学习资料。如何用OpenCV训练自己的分类器。内含人脸库共训练器使用-matlab image feature recognition. Classifier training methods. Good learning materials. How to use OpenCV train their own classification. Training face database containing a total of uses
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Size: 5283840 |
Author: yanhao |
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Description: OpenCV 中Harr训练方法，大批研究生学习期间需要用到的方法-Training methods in OpenCV Harr, a large number of graduate students studying the methods need to use
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Size: 258048 |
Author: 郭大万 |
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Description: opencv训练过程中的命令行显示
主要是各参数代表的意义说明-opencv training process command-line display
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Size: 13312 |
Author: 沈东 |
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Description: 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，你测试时会发现，车牌字符识别，可能存在误差，尤其是第一个中文字符出现的误差概率较大。(Bits in the predict method, for clarity, add a lot of comments after completing the code and testing, see the source code. License plate character recognition is also included in the predict method. Please refer to the comments in the source code. It needs to be noted that the algorithm used for license plate character recognition is SVM of opencv. The training sample used for SVM training comes from the c++ version of EasyPR on github. Due to limited training samples, you may find errors in license plate character recognition when testing, especially the error probability of the first Chinese character is large.)
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Size: 21504 |
Author: 西风何时来 |
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