資源簡介
很詳細的PCANet資源,有利于學習。數據資源,代碼資源全部都有。
代碼片段和文件信息
%?====?PCANet?Demo?=======
%?T.-H.?Chan?K.?Jia?S.?Gao?J.?Lu?Z.?Zeng?and?Y.?Ma?
%?“PCANet:?A?simple?deep?learning?baseline?for?image?classification?“?submitted?to?IEEE?TIP.?
%?ArXiv?eprint:?http://arxiv.org/abs/1404.3606?
%?Tsung-Han?Chan?[thchan@ieee.org]
%?Please?email?me?if?you?find?bugs?or?have?suggestions?or?questions!
%?========================
clear?all;?close?all;?clc;?
addpath(‘./Utils‘);
addpath(‘./Liblinear‘);
TrnSize?=?10000;?
ImgSize?=?32;?
%%?Loading?data?from?CIFAR10?(50000?training?10000?testing)?
DataPath?=?‘./cifar-10-batches-mat‘;
%?CIFAR10?dataset?can?be?downloaded?at?http://www.cs.toronto.edu/~kriz/cifar.html
TrnLabels?=?[];
TrnData?=?[];
for?i?=?1:5
????load(fullfile(DataPath[‘data_batch_‘?num2str(i)?‘.mat‘]));
????TrnData?=?[TrnData?data‘];
????TrnLabels?=?[TrnLabels;?labels];
end
load(fullfile(DataPath‘test_batch.mat‘));
TestData?=?data‘;
TestLabels?=?labels;
ImgFormat?=?‘color‘;?%‘gray‘
TrnLabels?=?double(TrnLabels);
TestLabels?=?double(TestLabels);
%%?For?this?demo?we?subsample?the?Training?and?Testing?sets?
%?plz?comment?out?the?following?four?lines?for?a?complete?test.
%?when?you?want?to?do?so?please?ensure?that?your?computer?memory?is?more?than?64GB.?
%?training?linear?SVM?classifier?on?large?amount?of?high?dimensional?data?would?
%?requires?lots?of?memory.?
TrnData?=?TrnData(:1:50:end);??%?sample?around?1000?training?samples
TrnLabels?=?TrnLabels(1:50:end);?%?
TestData?=?TestData(:1:10:end);??%?sample?around?1000?test?samples??
TestLabels?=?TestLabels(1:10:end);?
%%%%%%%%%%%%%%%%%%%%%%%%
nTestImg?=?length(TestLabels);
%%?PCANet?parameters?(they?should?be?funed?based?on?validation?set;?i.e.?ValData?&?ValLabel)
PCANet.NumStages?=?2;
PCANet.PatchSize?=?[5?5];
PCANet.NumFilters?=?[40?8];
PCANet.HistBlockSize?=?[8?8];
PCANet.BlkOverLapRatio?=?0.5;
PCANet.Pyramid?=?[4?2?1];
fprintf(‘\n?======?PCANet?Parameters?=======?\n‘)
PCANet
%%?PCANet?Training?with?10000?samples
fprintf(‘\n?======?PCANet?Training?=======?\n‘)
TrnData_ImgCell?=?mat2imgcell(double(TrnData)ImgSizeImgSizeImgFormat);?%?convert?columns?in?TrnData?to?cells?
tic;?
[ftrain?V?BlkIdx]?=?PCANet_train(TrnData_ImgCellPCANet1);?%?BlkIdx?serves?the?purpose?of?learning?block-wise?DR?projection?matrix;?e.g.?WPCA
PCANet_TrnTime?=?toc;
%%?PCA?hashing?over?histograms
c?=?10;?
fprintf(‘\n?======?Training?Linear?SVM?Classifier?=======?\n‘)
display([‘now?testing?c?=?‘?num2str(c)?‘...‘])
tic;
models?=?train(TrnLabels?ftrain‘?[‘-s?1?-c?‘?num2str(c)?‘?-q‘]);?%?we?use?linear?SVM?classifier?(C?=?10)?calling?liblinear?library
LinearSVM_TrnTime?=?toc;
%%?PCANet?Feature?Extraction?and?Testing?
TestData_ImgCell?=?mat2imgcell(TestDataImgSizeImgSizeImgFormat);?%?convert?columns?in?TestData?to?cells?
clear?TestData;?
fprintf(‘\n?======?PCANet?Testing?=======?\n‘)
nCorrRecog?=?0;
RecHistory?=?zeros(nTestImg1);
tic;?
for?idx?=?1:1:nTestImg
????ftest?
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2014-08-29?09:52??PCANet_demo\
?????目錄???????????0??2014-08-29?09:52??PCANet_demo\cifar-10-batches-mat\
?????文件????????4110??2014-08-29?09:51??PCANet_demo\Demo_cifar10.m
?????文件????????4119??2014-08-29?09:50??PCANet_demo\Demo_mnist_basic.m
?????文件????????5190??2014-08-29?09:44??PCANet_demo\HashingHist.m
?????目錄???????????0??2014-08-29?09:52??PCANet_demo\Liblinear\
?????文件????????4226??2011-08-26?22:25??PCANet_demo\Liblinear\libsvmread.c
?????文件???????11225??2013-09-24?05:36??PCANet_demo\Liblinear\libsvmread.mexa64
?????文件???????10752??2013-08-25?19:42??PCANet_demo\Liblinear\libsvmread.mexw64
?????文件????????2254??2011-08-26?22:25??PCANet_demo\Liblinear\libsvmwrite.c
?????文件????????9463??2013-09-24?05:36??PCANet_demo\Liblinear\libsvmwrite.mexa64
?????文件????????9216??2013-08-25?19:42??PCANet_demo\Liblinear\libsvmwrite.mexw64
?????文件????????3726??2012-04-16?21:50??PCANet_demo\Liblinear\linear_model_matlab.c
?????文件?????????168??2008-09-06?19:07??PCANet_demo\Liblinear\linear_model_matlab.h
?????文件?????????910??2012-10-18?17:51??PCANet_demo\Liblinear\make.m
?????文件????????1764??2011-05-09?16:37??PCANet_demo\Liblinear\Makefile
?????文件????????8629??2012-10-09?21:49??PCANet_demo\Liblinear\predict.c
?????文件???????66845??2013-09-24?05:36??PCANet_demo\Liblinear\predict.mexa64
?????文件???????16384??2013-08-25?19:42??PCANet_demo\Liblinear\predict.mexw64
?????文件????????7349??2012-04-16?22:26??PCANet_demo\Liblinear\README
?????文件???????10947??2012-07-20?00:59??PCANet_demo\Liblinear\train.c
?????文件???????68273??2013-09-24?05:36??PCANet_demo\Liblinear\train.mexa64
?????文件???????58880??2013-08-25?19:42??PCANet_demo\Liblinear\train.mexw64
?????目錄???????????0??2014-08-29?09:52??PCANet_demo\MNISTdata\
?????文件????23859010??2013-10-29?04:03??PCANet_demo\MNISTdata\mnist_basic.mat
?????文件????????1716??2014-08-29?09:41??PCANet_demo\PCANet_FeaExt.m
?????文件????????3230??2014-08-29?09:41??PCANet_demo\PCANet_train.m
?????文件????????1248??2014-08-29?00:32??PCANet_demo\PCA_FilterBank.m
?????文件????????1465??2014-07-31?00:15??PCANet_demo\PCA_output.m
?????目錄???????????0??2014-08-29?09:52??PCANet_demo\Utils\
?????文件????????1341??2009-08-31?20:17??PCANet_demo\Utils\im2colstep.m
............此處省略5個文件信息
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