登录
首页 » matlab » toolbox-master

toolbox-master

于 2018-05-25 发布
0 128
下载积分: 1 下载次数: 3

代码说明:

说明:  该节主要介绍下matlab下的光流法以及一个研究物体检测方面的一个较好的工具箱 :Piotr’s Computer Vision Matlab Toolbox .将这两个工具箱及其里面所有文件的路径都添加到matlab路径中去,这样的话基本上是可以用了。 Piotr’s 的工具箱里面的函数很多,也涉及到了很多方面,更主要的是关于目标检测方面的。(This section mainly introduces the optical flow under Matlab and a better toolkit for researching object detection: Piotr 's Computer Vision Matlab Toolbox. Add the two toolkits and all the files in the path to the MATLAB path, which is basically useful. There are many functions in the toolbox of Piotr 's, and there are many aspects involved)

文件列表:

toolbox-master, 0 , 2018-04-03
toolbox-master\.gitignore, 79 , 2018-04-03
toolbox-master\README.md, 50 , 2018-04-03
toolbox-master\channels, 0 , 2018-04-03
toolbox-master\channels\Contents.m, 1918 , 2018-04-03
toolbox-master\channels\chnsCompute.m, 9239 , 2018-04-03
toolbox-master\channels\chnsPyramid.m, 10523 , 2018-04-03
toolbox-master\channels\chnsScaling.m, 5019 , 2018-04-03
toolbox-master\channels\convBox.m, 3067 , 2018-04-03
toolbox-master\channels\convMax.m, 2318 , 2018-04-03
toolbox-master\channels\convTri.m, 4403 , 2018-04-03
toolbox-master\channels\fhog.m, 2966 , 2018-04-03
toolbox-master\channels\gradient2.m, 1213 , 2018-04-03
toolbox-master\channels\gradientHist.m, 3427 , 2018-04-03
toolbox-master\channels\gradientMag.m, 2340 , 2018-04-03
toolbox-master\channels\hog.m, 3460 , 2018-04-03
toolbox-master\channels\hogDraw.m, 1257 , 2018-04-03
toolbox-master\channels\imPad.m, 2228 , 2018-04-03
toolbox-master\channels\imResample.m, 2324 , 2018-04-03
toolbox-master\channels\private, 0 , 2018-04-03
toolbox-master\channels\private\chnsTestCpp.cpp, 2535 , 2018-04-03
toolbox-master\channels\private\convConst.cpp, 10301 , 2018-04-03
toolbox-master\channels\private\convConst.mexa64, 18665 , 2018-04-03
toolbox-master\channels\private\convConst.mexmaci64, 22124 , 2018-04-03
toolbox-master\channels\private\convConst.mexw64, 29184 , 2018-04-03
toolbox-master\channels\private\gradientMex.cpp, 18892 , 2018-04-03
toolbox-master\channels\private\gradientMex.mexa64, 23054 , 2018-04-03
toolbox-master\channels\private\gradientMex.mexmaci64, 26988 , 2018-04-03
toolbox-master\channels\private\gradientMex.mexw64, 38912 , 2018-04-03
toolbox-master\channels\private\gradientMexNew.mexmaci64, 26988 , 2018-04-03
toolbox-master\channels\private\imPadMex.cpp, 5424 , 2018-04-03
toolbox-master\channels\private\imPadMex.mexa64, 28577 , 2018-04-03
toolbox-master\channels\private\imPadMex.mexmaci64, 34220 , 2018-04-03
toolbox-master\channels\private\imPadMex.mexw64, 40960 , 2018-04-03
toolbox-master\channels\private\imResampleMex.cpp, 7810 , 2018-04-03
toolbox-master\channels\private\imResampleMex.mexa64, 21350 , 2018-04-03
toolbox-master\channels\private\imResampleMex.mexmaci64, 30252 , 2018-04-03
toolbox-master\channels\private\imResampleMex.mexw64, 34304 , 2018-04-03
toolbox-master\channels\private\rgbConvertMex.cpp, 8670 , 2018-04-03
toolbox-master\channels\private\rgbConvertMex.mexa64, 28926 , 2018-04-03
toolbox-master\channels\private\rgbConvertMex.mexmaci64, 47648 , 2018-04-03
toolbox-master\channels\private\rgbConvertMex.mexw64, 44544 , 2018-04-03
toolbox-master\channels\private\sse.hpp, 3125 , 2018-04-03
toolbox-master\channels\private\wrappers.hpp, 1573 , 2018-04-03
toolbox-master\channels\rgbConvert.m, 3630 , 2018-04-03
toolbox-master\classify, 0 , 2018-04-03
toolbox-master\classify\Contents.m, 2387 , 2018-04-03
toolbox-master\classify\adaBoostApply.m, 1230 , 2018-04-03
toolbox-master\classify\adaBoostTrain.m, 5096 , 2018-04-03
toolbox-master\classify\binaryTreeApply.m, 1111 , 2018-04-03
toolbox-master\classify\binaryTreeTrain.m, 5784 , 2018-04-03
toolbox-master\classify\confMatrix.m, 2166 , 2018-04-03
toolbox-master\classify\confMatrixShow.m, 1988 , 2018-04-03
toolbox-master\classify\demoCluster.m, 1522 , 2018-04-03
toolbox-master\classify\demoGenData.m, 3120 , 2018-04-03
toolbox-master\classify\distMatrixShow.m, 2204 , 2018-04-03
toolbox-master\classify\fernsClfApply.m, 936 , 2018-04-03
toolbox-master\classify\fernsClfTrain.m, 3277 , 2018-04-03
toolbox-master\classify\fernsInds.m, 985 , 2018-04-03
toolbox-master\classify\fernsRegApply.m, 1014 , 2018-04-03
toolbox-master\classify\fernsRegTrain.m, 5914 , 2018-04-03
toolbox-master\classify\forestApply.m, 1558 , 2018-04-03
toolbox-master\classify\forestTrain.m, 6138 , 2018-04-03
toolbox-master\classify\kmeans2.m, 5251 , 2018-04-03
toolbox-master\classify\meanShift.m, 3212 , 2018-04-03
toolbox-master\classify\meanShiftIm.m, 4812 , 2018-04-03
toolbox-master\classify\meanShiftImExplore.m, 2409 , 2018-04-03
toolbox-master\classify\pca.m, 3244 , 2018-04-03
toolbox-master\classify\pcaApply.m, 3320 , 2018-04-03
toolbox-master\classify\pcaData.mat, 165368 , 2018-04-03
toolbox-master\classify\pcaRandVec.m, 3140 , 2018-04-03
toolbox-master\classify\pcaVisualize.m, 4096 , 2018-04-03
toolbox-master\classify\pdist2.m, 5162 , 2018-04-03
toolbox-master\classify\private, 0 , 2018-04-03
toolbox-master\classify\private\IDX2order.m, 1038 , 2018-04-03
toolbox-master\classify\private\binaryTreeTrain1.cpp, 2744 , 2018-04-03
toolbox-master\classify\private\binaryTreeTrain1.mexa64, 9606 , 2018-04-03
toolbox-master\classify\private\binaryTreeTrain1.mexmaci64, 13020 , 2018-04-03
toolbox-master\classify\private\binaryTreeTrain1.mexw64, 10752 , 2018-04-03
toolbox-master\classify\private\fernsInds1.c, 1493 , 2018-04-03
toolbox-master\classify\private\fernsInds1.mexa64, 7187 , 2018-04-03
toolbox-master\classify\private\fernsInds1.mexmaci64, 8728 , 2018-04-03
toolbox-master\classify\private\fernsInds1.mexw64, 8192 , 2018-04-03
toolbox-master\classify\private\forestFindThr.cpp, 3717 , 2018-04-03
toolbox-master\classify\private\forestFindThr.mexa64, 10332 , 2018-04-03
toolbox-master\classify\private\forestFindThr.mexmaci64, 13040 , 2018-04-03
toolbox-master\classify\private\forestFindThr.mexw64, 11264 , 2018-04-03
toolbox-master\classify\private\forestInds.cpp, 1986 , 2018-04-03
toolbox-master\classify\private\forestInds.mexa64, 10221 , 2018-04-03
toolbox-master\classify\private\forestInds.mexmaci64, 8800 , 2018-04-03
toolbox-master\classify\private\forestInds.mexw64, 9216 , 2018-04-03
toolbox-master\classify\private\meanShift1.c, 5496 , 2018-04-03
toolbox-master\classify\private\meanShift1.mexa64, 9556 , 2018-04-03
toolbox-master\classify\private\meanShift1.mexmaci64, 13288 , 2018-04-03
toolbox-master\classify\private\meanShift1.mexw64, 10752 , 2018-04-03
toolbox-master\classify\private\meanShiftPost.m, 1374 , 2018-04-03
toolbox-master\classify\rbfComputeBasis.m, 5177 , 2018-04-03
toolbox-master\classify\rbfComputeFtrs.m, 1130 , 2018-04-03
toolbox-master\classify\rbfDemo.m, 2929 , 2018-04-03
toolbox-master\classify\softMin.m, 2317 , 2018-04-03

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • histeq
    说明:  实现直方图规定化的函数和直方图均衡化的函数(Histogram specification to achieve the function and the histogram equalization function)
    2010-04-19 18:56:53下载
    积分:1
  • Desktop
    说明:  内有matlab的gui编程,界面设计,图像转灰度图,边缘检测(There are Matlab GUI programming, interface design, image to grayscale, edge detection)
    2021-03-22 22:49:16下载
    积分:1
  • cubicSpline_main
    说明:  三次样条插值函数,分别是基于二阶导数的和一阶导数实现的(Cubic spline interpolation function)
    2020-12-30 10:39:28下载
    积分:1
  • susan
    说明:  susan算法是基于灰度的特征点获取方法,适用于图像的边缘提取(susan algorithm is based on the gray-scale method to obtain the feature points for image edge extraction)
    2008-12-03 22:18:48下载
    积分:1
  • 热电厂工程电气主接线
    热电厂CAD图纸资料,在CAD软件中绘制(Thermal power plant CAD drawings)
    2021-04-13 18:48:56下载
    积分:1
  • LD24_SlimeWorld_ProjectFile
    好东西,下下来看就知道了好东西,下下来看就知道了(Good things, under the terms of the next good thing to know, under the circumstances of view to know)
    2013-11-18 08:52:20下载
    积分:1
  • BitmapTest
    很好的解析bmp图片的源代码,很不错的初学者的例子,换页大家下载(Very good analytical bmp image of the source code, it is a good example for beginners, for everyone to download page)
    2007-11-29 21:23:35下载
    积分:1
  • Bilateral-Filtering-master
    说明:  双边滤波代码,双边滤波是一种非线性的方法,同时考虑到了图像的空域信息和灰度相似性,以达到保边去噪的目的.双边滤波通过空域矩阵和值域矩阵形成一个新的权重矩阵,其中空域矩阵用来模糊去噪;值域矩阵用来保护边缘.(Bilateral-Filtering code.Bilateral filtering is a nonlinear method, which takes into account the spatial information and gray similarity of the image to achieve the purpose of edge preserving denoising.The range matrix is used to protect edges.)
    2020-07-05 17:01:00下载
    积分:1
  • FlashIcon
    漂亮的图标程序源代码(beautiful icon source code)
    2004-09-24 19:23:53下载
    积分:1
  • edgeNorm
    在图像边缘点上计算边缘法向量, Compute the norm vector at the boundary(compute the norm vector at the boundary)
    2009-10-21 16:47:27下载
    积分:1
  • 696518资源总数
  • 104349会员总数
  • 32今日下载