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function [sel, labels] = calcImageSet(imageDbPath, imageSet, varargin)
% CALCIMAGESET
% SEL = CALCIMAGESET(IMAGEDBPATH, IMAGESET)
%
% Images are returned in order (positive first).
%
% Author:: Andrea VEdaldi
% AUTORIGHTS
% Copyright (C) 2008-09 Andrea Vedaldi
%
% This file is part of the VGG MKL Class and VGG MKL Det code packages,
% available in the terms of the GNU General Public License version 2.
conf_.roiDbPath = '' ;
conf_.className = '' ;
conf_.aspectName = '' ;
conf_.numPos = NaN ;
conf_.numNeg = NaN ;
conf_.antClassName = '' ;
conf_.antFraction = 0 ;
conf_.numParts = 1 ;
conf = vl_argparse(conf_, varargin{:}) ;
randn('state',0) ;
rand('state',0) ;
% collect image indeces in conf.imageSet ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
imdb = getImageDb(imageDbPath) ;
sel = [] ;
for setName = fieldnames(imdb.sets)'
setName = char(setName) ;
str = regexpi(setName, imageSet, 'match', 'once') ;
if length(str) == length(setName)
sel = [sel find([imdb.images.set] == imdb.sets.(setName))] ;
end
end
sel = unique(sel) ;
fprintf('calcImageSet:\n');
fprintf('\tpool size: %d (%s)\n', length(sel), imageSet) ;
% restrict to a subset of images ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
if ~isempty(conf.roiDbPath)
roidb = getRoiDb(conf.roiDbPath) ;
imageIndex = [imdb.images.id] ;
fprintf('\trequested %.0f pos and %.0f neg images\n', ...
conf.numPos, conf.numNeg) ;
selp = findRois(roidb, ...
'class', conf.className, ...
'jitter', 0, ...
'aspect', conf.aspectName, ...
'difficult', 0) ;
selpo = findRois(roidb, ...
'class', conf.className, ...
'~aspect', conf.aspectName, ...
'difficult', 0) ;
sela = findRois(roidb, ...
'~class', conf.className, ...
'class', conf.antClassName) ;
fprintf('\tclass: %s aspect: %s\n', conf.className, conf.aspectName) ;
fprintf('\tantagonist classes: %s\n', conf.antClassName) ;
selp = roidb.rois.imageId(selp) ;
selpo = roidb.rois.imageId(selpo) ;
sela = roidb.rois.imageId(sela) ;
selp = intersect(sel, unique(binsearch(imageIndex, selp))) ;
selpo = intersect(sel, unique(binsearch(imageIndex, selpo))) ;
sela = intersect(sel, unique(binsearch(imageIndex, sela))) ;
selpo = setdiff(selpo, selp) ;
sela = setdiff(sela, [selp selpo]) ;
seln = setdiff(sel, [selp selpo sela]) ;
fprintf('\tfound: %d images matching class and aspect\n', length(selp)) ;
fprintf('\tfound: %d images matching only the class\n', length(selpo)) ;
fprintf('\tfound: %d images matching antagonists classes\n', length(sela)) ;
fprintf('\tfound: %d other images\n', length(seln)) ;
numPos = min(conf.numPos, length(selp) + length(selpo)) ;
numAnt = min(round(conf.numNeg * conf.antFraction), length(sela)) ;
numNeg = min(conf.numNeg - numAnt, length(seln)) ;
fprintf('\teach partition includes:\n\t\t%d positive (%d from other aspect)\n\t\t%d negative (%d antagonist)\n', ...
numPos, max(numPos - length(selp),0), numNeg+numAnt, numAnt) ;
% add incorrect aspect to positive to fill necessity
selpo = shuffle(selpo) ;
selp = [selp selpo(1: numPos - length(selp))] ;
% now create partitions
selp = shuffle(selp) ;
seln = shuffle(seln) ;
sela = shuffle(sela) ;
cursPos = 1 ;
cursNeg = 1 ;
cursAnt = 1 ;
clear sel ;
fprintf('\tcreating %d partitions.\n', conf.numParts) ;
for pi = 1:conf.numParts
selp_ = mod(cursPos + (1:numPos) - 1, length(selp)) + 1 ;
seln_ = mod(cursNeg + (1:numNeg) - 1, length(seln)) + 1 ;
sela_ = mod(cursAnt + (1:numAnt) - 1, length(sela)) + 1 ;
selp_ = selp(selp_) ;
seln_ = seln(seln_) ;
sela_ = sela(sela_) ;
cursPos = cursPos + numPos ;
cursNeg = cursNeg + numNeg ;
cursAnt = cursAnt + numAnt ;
sel{pi} = [selp_ seln_ sela_] ;
end
end
% --------------------------------------------------------------------
function A = shuffle(A)
% --------------------------------------------------------------------
A = A(:, randperm(size(A,2))) ;
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