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function [varargout]=partition(imageSet,groupSizesOrPercentages,varargin)
// This function is used to split an imageSet.
//
// Calling Sequence
// [set1 set2 ... setN] = partition(imgSet, groupSizes)
// [set1 set2 ... setN] = partition(imgSet, groupPercentages)
// [set1 set2 ... setN] = partition(..., method)
//
// Parameters
// set: Output imageSet structure
// imgSet: Input imageSet to be split
// groupSizes: Matrix that specifies size of output sets
// groupPercentages: Matrix that specifies percentage content of each output set
// method: (Optional) Determines whether split is 'sequential' or 'randomized' (Default: 'sequential')
//
// Description
// This function splits an imageSet into two or more imageSets on the basis of the groupSizes or groupPercentages provided.
//
// Examples
// imgSet = imageSet(directory,'recursive');
// [trainingSet testSet] = partition(imgSet,[0.8]);
//
// imgSet = imageSet(directory,'recursive');
// [trainingSet testSet] = partition(imgSet,[5], 'randomized');
//
// Authors
// Rohit Suri
[lhs rhs]=argn(0);
if rhs>3
error(msprintf(" Too many input arguments"));
end
cols=size(groupSizesOrPercentages,'c');
if lhs>cols+1 then
error(msprintf(" Too many output arguments"));
end
imgSetList=imageSetToList(imageSet);
//sets=list();`
select rhs
case 2 then
sets=opencv_partition(imgSetList,groupSizesOrPercentages);
case 3 then
sets=opencv_partition(imgSetList,groupSizesOrPercentages,varargin(1));
end
for i=1:lhs
for j=1:size(sets(i)(4)(1),'r')
imgLocations(j)=sets(i)(4)(1)(j,1);
end
varargout(i)=struct('Description',sets(i)(2),'ImageLocation',imgLocations,'Count',int32(sets(i)(3)));
imgLocations=[]
end
endfunction
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