AForge.NET_EN

该程序是我多年的经验总结以及代码，实现了全景目标跟踪、火焰识别、烟雾识别、起立坐下行为判断、越界闯入、徘徊、违规停车等多种智能功能一体化，粒子滤波、贝叶斯分类器、随机森林等多种在线学习机制，还有传统的camshift、meanshift、光流法、卡尔曼滤波、struck、KCF、TLD、CT、区域匹配，相位相关、轮廓跟踪等多种算法(The program is my many years of experience and code, the realization of the panorama target tracking, flame detection, smoke detection, standing up sitting judge, cross-border intrusion, wandering, illegal parking and other various intelligent functions integration, particle filter, Bayesian classifier, random forest variety of online learning mechanism, and the traditional CAMSHIFT, meanshift, optical flow method, Kalman filter, the, KCF, regional matching, phase correlation, contour tracking and other several algorithms)

输出一个具有一定大小的双三角形，该三角形中间最小(Output of a certain size with a double triangle, the triangle between the minimum)

自己开发的一种点云降噪方法，可以去除物体主体之外的部分的点云数据（物体点云数据为三维扫描仪获得）(A point cloud noise reduction method developed by ourselves can remove part of the cloud data outside the main body of the object (object cloud data is obtained for a three-dimensional scanner))

VisualC++数字图像处理技术详解第2版光盘-第二章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter 2)

根据曲率求图像分割的方法，可以在matlab下运行。(According to the curvature of the methods for image segmentation, you can run.)

Camshift和MOG结合的目标检测与跟踪算法(An alg of detecting object with camshift and mog)

说明：  以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。 以f = cos(2*pi/256*t) + sin(2*pi/128*t)做为原信号，取原信号f的20%做为输入进行压缩感知重建。(The sparse basis includes discrete cosine transform (DCT) and fast Fourier transform (FFT) as sparse basis, Gaussian random matrix and partial Hadamard matrix as measurement matrix, L1 norm and orthogonal matching pursuit algorithm (OMP) as reconstruction algorithm. In this paper, the reconstructed signal is reconstructed by using the original sensing signal (sinf * t) as the original input signal (i.e. sinf * t * 2) + 2 * s * t * as the input signal.)

基于matlab的图像处理边缘提取程序，包含各种常用的边缘提取方法。(Matlab image processing based on edge extraction process, contains a variety of commonly used edge detection methods.)

另一款BP/TP使用的SVGA图形模式程序。效果也不错(Another BP/TP use SVGA graphics mode procedures. The results would be good)

A few people have been asking for configurable rendering, especially since Twitter Bootstrap has become popular. Rajeesh CV submitted a pull request that introduced a view model for the Pager, the PaginationModel. This view model made it very easy to create an option where you can specify a DisplayTemplate that is used for the actual rendering. It works like any other ASP.NET MVC DisplayTemplate and requires a model of PaginationModel. As a bonus, the PaginationModel makes unit testing a lot easier