vb own series programming, which is the diamond source code! A great weekend!

该工程从五万张图片中提取每张图片的Gist特征，每张图片都有自己所属类别的标签，然后用Liblinear分类器进行训练，得到一个模型，再对一万张图片进行预测，与这一万张图片的标签信息对比，得出预测正确率                                                                                                                                                      

网站模板一个网站模板网站模板 一个网站模板-a website template website template a website template a website template

画图，网格，实时数据监测，有很好的注释，适合画图的应用和编程。-Drawing, grid, real-time data monitoring, have very good notes, suitable for drawing applications and programming.

人脸检测源码,有多种处理函数,已通过VS6.0-Face detection source, has a wide range of treatment functions, has passed VS6.0

THis the fundamental part of a Game Computer driver. It contains only the structural layout upon which it is possible to create an object to object interface that would support 2 person game play.-THis is the fundamental part of a Game Computer driver. It contains only the structural layout upon which it is possible to create an object to object interface that would support 2 person game play.

一个新创的算法（复杂）-created a new algorithm (complex)

#include "stdafx.h" #include #include #include #include void solidCylinder(GLdouble radius, GLdouble height, GLint slices, GLint stacks) //»­Ò»¸öÔ²ÖùÌ壬ÓÃDiskÀ´¸ÇסÉÏϵ×Ãæ {      GLUquadricObj* qobj = gluNewQuadric();     gluCylinder(qobj, radius, radius, height, slices, stacks);    //slicesÀàËÆÓÚ¾­¶È£¬stacksÀàËÆÓÚγ¶È     glScalef(-1.0, 1.0, -1.0);

一套指纹识别的c语言源代码-a fingerprint identification c language source code

目前该手写体识别系统主要分为 预处理模块： 主要包括训练数据和识别数据的读取，归一化，二值化 特征提取模块：主要包括笔划方向特征和网格密度特征，还可以根据对识别率的要求继续增加其他特征 识别（分类器）模块：主要包括SVM方法和BP神经网络的方法，其中SVM方法的识别率较高，SVM＋网格密度特征， 在小字符集情况下，达到了识别率97％以上 采用OO思想编写，适合做二次开发-currently the handwriting recognition system consists of pretreatment modules : including training data and identification data read, in one, two values of feature extraction module : the main characteristics of the direction including strokes and grid density characteristics, but also based on the identification of the requirements to continue to increase other identification ( Categories) modules : include SVM methods and BP networks, which SVM method for the identification of high SVM+ mesh density characteristics, in a small set of characters to achieve a recognition rate of over 97% using OO ideological preparation, suitable for secondary development

从AVI格式读取视频,并做适当的灰度变换