登录
首页 » matlab » 用于机器人抓取检测的深学习代码

用于机器人抓取检测的深学习代码

于 2016-02-26 发布 文件大小:18716KB
0 167
下载积分: 1 下载次数: 16

代码说明:

  Code for Deep Learning for Detecting Robotic Grasps.Intended to be a simple codebase which will allow you to load the grasping dataset, process and whiten it, train a network, and perform grasp detection. Currently does not contain more advanced uation code (cross-validation, scoring, etc.), or code for the two-pass system I add dropout to this code.

文件列表:

Dropout1
........\backpropData
........\............\backprogation.mat,2164,2014-10-16
........\............\classify_error.mat,1624,2014-10-16
........\............\classify_weights.mat,3132740,2014-10-16
........\data
........\....\graspModes24.mat,219,2014-09-19
........\....\graspTestData.mat,3177092,2014-09-19
........\....\graspTrainData.mat,6348712,2014-09-19
........\minFunc
........\.......\ArmijoBacktrack.m,3204,2014-09-02
........\.......\autoGrad.m,807,2014-09-02
........\.......\autoHess.m,901,2014-09-02
........\.......\autoHv.m,317,2014-09-02
........\.......\autoTensor.m,870,2014-09-02
........\.......\callOutput.m,378,2014-09-02
........\.......\conjGrad.m,1845,2014-09-02
........\.......\dampedUpdate.m,995,2014-09-02
........\.......\example_minFunc.m,2421,2014-09-02
........\.......\example_minFunc_LR.m,1604,2014-09-02
........\.......\isLegal.m,107,2014-09-02
........\.......\lbfgs.m,924,2014-09-02
........\.......\lbfgsC.c,2408,2014-09-02
........\.......\lbfgsC.mexa64,7707,2014-09-02
........\.......\lbfgsC.mexglx,7733,2014-09-02
........\.......\lbfgsC.mexmac,9500,2014-09-02
........\.......\lbfgsC.mexmaci,12660,2014-09-02
........\.......\lbfgsC.mexmaci64,8800,2014-09-02
........\.......\lbfgsC.mexw32,7168,2014-09-02
........\.......\lbfgsC.mexw64,9728,2014-09-02
........\.......\lbfgsUpdate.m,614,2014-09-02
........\.......\logistic
........\.......\........\LogisticDiagPrecond.m,417,2014-09-02
........\.......\........\LogisticHv.m,216,2014-09-02
........\.......\........\LogisticLoss.m,669,2014-09-02
........\.......\........\mexutil.c,1154,2014-09-02
........\.......\........\mexutil.h,317,2014-09-02
........\.......\........\mylogsumexp.m,144,2014-09-02
........\.......\mchol.m,1287,2014-09-02
........\.......\mcholC.c,4190,2014-09-02
........\.......\mcholC.mexmaci64,13184,2014-09-02
........\.......\mcholC.mexw32,8192,2014-09-02
........\.......\mcholC.mexw64,12288,2014-09-02
........\.......\mcholinc.m,564,2014-09-02
........\.......\minFunc.m,43070,2014-09-02
........\.......\minFunc_processInputOptions.m,3704,2014-09-02
........\.......\polyinterp.m,4217,2014-09-02
........\.......\precondDiag.m,42,2014-09-02
........\.......\precondTriu.m,51,2014-09-02
........\.......\precondTriuDiag.m,60,2014-09-02
........\.......\rosenbrock.m,1074,2014-09-02
........\.......\taylorModel.m,677,2014-09-02
........\.......\WolfeLineSearch.m,11395,2014-09-02
........\recTraining
........\...........\auroc.m,2284,2014-09-02
........\...........\bsxfunwrap.m,1030,2014-09-02
........\...........\dirtyRegCostL0.m,990,2014-09-02
........\...........\histtest.m,961,2014-09-25
........\...........\inverseSigmoid.m,107,2014-09-02
........\...........\l2rowscaled.m,207,2014-09-02
........\...........\logSumExpL0Cost.m,1286,2014-09-02
........\...........\multimodalRegL0.m,914,2014-09-02
........\...........\nogpu
........\...........\.....\gather.m,22,2014-09-02
........\...........\.....\gpuArray.m,24,2014-09-02
........\...........\pNormGrad.m,323,2014-09-02
........\...........\README.txt,1300,2014-09-02
........\...........\roc1.m,548,2014-09-02
........\...........\rocdemo.m,3432,2014-09-27
........\...........\runBackpropMultiReg1.m,10210,2014-09-27
........\...........\runSAEMultiSparse.m,3177,2014-09-27
........\...........\scaleAndBiasWeights.m,1005,2014-09-02
........\...........\scaleMaskByModes2.m,398,2014-09-02
........\...........\smoothedAbs.m,316,2014-09-02
........\...........\smoothedL1Cost.m,409,2014-09-02
........\...........\softmaxBackpropCostMultiReg.m,4367,2014-10-16
........\...........\softmaxInitCost.m,2342,2014-09-02
........\...........\sparseAECostBinaryGenBias.m,1921,2014-09-02
........\...........\sparseAECostMultiRegWeighted.m,1723,2014-09-02
........\...........\trainGraspRecMultiSparse.m,2315,2014-09-17

........\...........\Whist.m,733,2014-09-25
........\util
........\....\caseWiseWhiten.m,971,2014-09-02
........\....\getSurfNorm.m,342,2014-09-02
........\....\graspPCDToRGBDImage.m,523,2014-09-02
........\....\interpMaskedData.m,1070,2014-09-02
........\....\orientedRGBDRectangle.m,1558,2014-09-02
........\....\padImage.m,962,2014-09-02
........\....\padMaskedImage2.m,1058,2014-09-02
........\....\pointsInAARect.m,450,2014-09-02
........\....\readGraspingPcd.m,2401,2014-09-02
........\....\removeOutliers.m,461,2014-09-02
........\....\resizeMaskedImage2.m,526,2014-09-02
........\....\rgb2yuv.m,840,2014-09-02
........\....\rotMat2D.m,189,2014-09-02
........\....\smartInterpMaskedData.m,460,2014-09-02
........\....\unpackRGBFloat.m,401,2014-09-02
........\weights
........\.......\graspWFinal.mat,3132740,2014-10-16

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

  • Ray_Fading_MED
    matlab实现的无线信道仿真,具体方法为正弦波叠加法的MED(matlab realize the wireless channel simulation, the specific method for the sine wave superposition method of MED)
    2008-04-10 15:17:51下载
    积分:1
  • bayesmat
    matlab code for bayseian algorithm
    2009-06-16 10:05:16下载
    积分:1
  • Zhang-calib-matlab
    张正友标定工具箱,matlab,用于摄像头内参的标定(Calibration toolbox by zhangzhengyou )
    2014-12-04 10:25:18下载
    积分:1
  • constantbeamwidth
    这是一篇关于恒定束宽的综述文章,文中描述了行程恒定束宽的最新方法,希望对研究频不变信号的人有用(This is a constant beam width on the overview of the article, this paper describes the latest travel a constant beam width, and I hope the study of constant-frequency signals were useful for)
    2009-10-20 16:55:13下载
    积分:1
  • matlab_jing_dian_suan_fa
    其中包括了matlab中最基本的算法院程序,对于编程有很大帮助(Matlab including the operator of the most basic court procedures, the program will be of great help)
    2007-04-11 09:21:59下载
    积分:1
  • graph_unrelated_x
    在程序中将不相干的一些数据进行处理,并用mschart绘制出直观图出来(procedures will be irrelevant in some of the information processed and used mschart drawn out direct-viewing chart)
    2007-05-13 11:58:49下载
    积分:1
  • MATLAB-R2008
    MATLAB R2008数字图像处理与分析实例教程源程序 众多实例(MATLAB R2008 digital image processing and analysis of many instances tutorial source instance)
    2012-10-31 12:38:45下载
    积分:1
  • mokuaidu
    基于堆结构的贪婪算法,CNM算法,用来复杂网络聚类分析(Greedy algorithm based on heap structure, CNM algorithm, for complex network clustering analysis)
    2018-08-12 15:35:22下载
    积分:1
  • S-Function编写指导
    说明:  S-Function(系统函数)为扩展 Simulink?的性能提供了一个有力的工具。以下下节阐述了什么是S-Function,为什么可以使用 S-Function,以及怎样编写自己的 S-Function。(S-Function provides a powerful tool for extending the performance of Simulink. The following section explains what an S-Function is, why it can be used, and how to write your own S-Function.)
    2020-01-15 13:49:54下载
    积分:1
  • myICA2
    Differentiated estimation of independence of components of a casual vector
    2010-05-29 22:54:51下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载