clear?all;

isReSplitSamples?=?0;
numTrainSam?=?20;
numTestSam?=?0;
nRounds?=?10;

fvFeaturesFlag?=?3;????%1-just?use?only?one?gmmComponent?for?all?feature?maps.?
???????????????????????%0-use?one?gmmComponent?for?each?features?map?that?is?the?length?of?gmmComp?will?be?512?in?our?experiment
???????????????????????%2-regard?N（ie.512）?feature?maps?as?N?dinmension?of?a?patch?which?is?slide?in?result?matrix.
???????????????????????%3-regard?N（ie.512）?feature?maps?as?N?dimension?of?a?patch?which?is?slide?in?result?matrix.
????????????????????????????????%In?each?patch?connect?each?pixel‘s?Ndimension?features?that?for?one?patch?it?has?N?*?patchW?*?patchH?dimension?feature
fvNormFlag?=?1;?????????%1-do?normalization?in?fv?0?-?do?not
nGMM?=?64;
fvSlideWindow.sizePatch?=?3;
fvSlideWindow.step?=?1;
rationSamGMM?=?1;


modelName?=?‘imagenet-vgg-m‘;
layerSelected?=?‘conv5‘;
dataSet?=?[modelName‘__‘layerSelected];

%for?numTrainSam?=?[510204080]

resultDir?=?[‘..\result\‘dataSet‘\resultRecord\‘];
samSplitPath?=?[‘..\result\‘dataSet‘\sampleSplitted-‘num2str（numTrainSam）‘tr\‘];
if?~isdir（resultDir）
????mkdir（resultDir）;
end
if?~isdir（samSplitPath）
????mkdir（samSplitPath）;
end

dDataSelectedPrePorcForExpPath?=?‘..\dataPrePorcess\‘;
dDataSelectedPrePorcForExpPath?=?[dDataSelectedPrePorcForExpPathmodelName‘__‘layerSelected‘\‘];

libVlfeatPath?=?‘..\tool\VLFEAT\vlfeat-0.9.19\toolbox\‘;
liblinearPath?=?‘..\tool\liblinear\matlab\‘;
libsvmPath?=?‘..\tool\libsvm\matlab\‘;

addpath（liblinearPath）;
addpath（libsvmPath）;
addpath（libVlfeatPath）;
vl_setup;

load（[dDataSelectedPrePorcForExpPath‘samples.mat‘]‘samplesAll‘‘samplesAllLabel‘）;
samplesAllLabel?=?samplesAllLabel‘;

accuracyAll?=?zeros（nRounds?1）;
%predLabelAll?=?cell（nRounds?1）;
%gndLabelAll?=?cell（nRounds?1）;

for?ii?=?1:nRounds

disp（[‘*****?Round?‘num2str（ii）‘?:‘]）;
if?isReSplitSamples
disp（‘*****?Splitting?the?samples?to?training?samples?and?testing?samples...‘）;
[samplesTrainsamplesTestsamplesTrainIndexInAllsamplesTestIndexInAll]?=?funSplitSamNew（samplesAllsamplesAllLabelnumTrainSamnumTestSam）;
save（[samSplitPath‘round_‘num2str（ii）‘_Splitted.mat‘]‘samplesTrain‘‘samplesTest‘‘samplesTrainIndexInAll‘‘samplesTestIndexInAll‘）;
else
disp（‘*****?Loading?the?training?samples?and?testing?samples?preslplitted?already...‘）;
load（[samSplitPath‘round_‘num2str（ii）‘_Splitted.mat‘]‘samplesTrain‘‘samplesTest‘‘samplesTrainIndexInAll‘‘samplesTestInd