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function [conf, waitJobs] = meta_calcDistMatrix(conf, varargin)
% META_PROCESSDISTMATRIX
%
% 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_.expPrefix = '' ;
conf_.imageDbPath = '' ;
conf_.imageSelTrain = NaN ;
conf_.imageSelTest = NaN ;
conf_.featPrefix = '' ;
conf_.featDir = '' ;
conf_.distFn = [] ;
conf_.distDir = '' ;
conf_.kerDir = '' ;
conf_.noClobber = false ;
if nargin == 0, conf = conf_ ; return ; end
conf = override(conf_, conf, 'warn') ;
imdb = getImageDb(conf.imageDbPath) ;
if isempty(conf.distFn)
error('conf.distFn not specified') ;
end
% --------------------------------------------------------------------
% Configure
% --------------------------------------------------------------------
jobopts.waitJobs = [] ;
jobopts.parallelize = 0 ;
jobopts.jobDir = '' ;
jobopts = override(jobopts, struct(varargin{:}), 'warn') ;
waitJobs = jobopts.waitJobs ;
ensuredir(conf.distDir) ;
conf.do_calcDist = 1 ;
conf.do_packDist = 1 ;
conf.do_calcTestDist = 1 ;
conf.do_packTestDist = 1 ;
% --------------------------------------------------------------------
% Compute train distances
% --------------------------------------------------------------------
trainGbPaths = {} ;
trainBlockDefs = {} ;
trainBlockPaths = {} ;
trainMatrixPath = fullfile(conf.distDir, [conf.featPrefix '-dist-matrix']) ;
trainKerPath = fullfile(conf.kerDir, ['el2_' conf.featPrefix]) ;
trainKerDescrPath = fullfile(conf.kerDir, ['descr-el2_', conf.featPrefix]) ;
% Find the name of the training images to compute their distance
for i=1:length(conf.imageSelTrain)
imageName = imdb.images.name{conf.imageSelTrain(i)} ;
trainGbPaths{i} = fullfile(conf.featDir, imageName) ;
end
% Partition the distance matrix in a number of blocks to be computed
% in parallel
numBlocks = 10 ;
rows = fix(linspace(1, length(conf.imageSelTrain), numBlocks + 1)) ;
cols = fix(linspace(1, length(conf.imageSelTrain), numBlocks + 1)) ;
for i=1:numBlocks
for j=1:numBlocks
block.rowStart = rows(i) ;
block.rowEnd = rows(i + 1) - 1 ;
block.colStart = cols(j) ;
block.colEnd = cols(j + 1) - 1 ;
if i==numBlocks, block.rowEnd = rows(end) ; end
if j==numBlocks, block.colEnd = cols(end) ; end
trainBlockDefs{end+1} = block ;
trainBlockPaths{end+1} = ...
fullfile(conf.distDir, ...
sprintf('%s-dist-block-%d', ...
conf.featPrefix, ...
length(trainBlockDefs))) ;
end
end
trainBlockDefs = cat(2, trainBlockDefs{:}) ;
if conf.do_calcDist
bkcf = bk_calcDistMatrixBlock ;
bkcf.gbPaths = trainGbPaths ;
bkcf.blockDefs = trainBlockDefs ;
bkcf.blockPaths = trainBlockPaths ;
bkcf.distFn = conf.distFn ;
bkcf.noClobber = conf.noClobber ;
[opts, waitJobs] = ...
bk_calcDistMatrixBlock(bkcf, ...
'parallelize', jobopts.parallelize, ...
'jobDir', jobopts.jobDir, ...
'waitJobs', waitJobs ) ;
end
if conf.do_packDist
bkcf = bk_packDistMatrix ;
bkcf.blockPaths = trainBlockPaths ;
bkcf.distMatrixPath = trainMatrixPath ;
bkcf.kerPath = trainKerPath ;
bkcf.kerDescrPath = trainKerDescrPath ;
bkcf.noClobber = conf.noClobber ;
[opts, waitJobs] = ...
bk_packDistMatrix(bkcf, ...
'parallelize', jobopts.parallelize, ...
'jobDir', jobopts.jobDir, ...
'waitJobs', waitJobs) ;
end
% --------------------------------------------------------------------
% Compute test distances
% --------------------------------------------------------------------
testGbPaths = {} ;
testBlockDefs = {} ;
testBlockPaths = {} ;
testMatrixPath = fullfile(conf.distDir, [conf.featPrefix '-dist-test-matrix']) ;
testKerPath = fullfile(conf.kerDir, ['test-el2_' conf.featPrefix]) ;
for i=1:length(conf.imageSelTest)
imageName = imdb.images.name{conf.imageSelTest(i)} ;
testGbPaths{i} = fullfile(conf.featDir, imageName) ;
end
numBlocks = 10 ;
rows = fix(linspace(1, length(conf.imageSelTrain), numBlocks + 1)) ;
cols = fix(linspace(1, length(conf.imageSelTest), numBlocks + 1)) ;
for i=1:numBlocks
for j=1:numBlocks
block.rowStart = rows(i) ;
block.rowEnd = rows(i + 1) - 1 ;
block.colStart = cols(j) ;
block.colEnd = cols(j + 1) - 1 ;
if i==numBlocks, block.rowEnd = rows(end) ; end
if j==numBlocks, block.colEnd = cols(end) ; end
testBlockDefs{end+1} = block ;
testBlockPaths{end+1} = ...
fullfile(conf.distDir, ...
sprintf('%s-dist-test-block-%d', ...
conf.featPrefix, ...
length(testBlockDefs))) ;
end
end
testBlockDefs = cat(2, testBlockDefs{:}) ;
if conf.do_calcTestDist
bkcf = bk_calcDistMatrixBlock ;
bkcf.gbPaths = trainGbPaths ;
bkcf.gbTestPaths = testGbPaths ;
bkcf.blockDefs = testBlockDefs ;
bkcf.blockPaths = testBlockPaths ;
bkcf.distFn = conf.distFn ;
bkcf.noClobber = conf.noClobber ;
[opts, waitJobs] = ...
bk_calcDistMatrixBlock(bkcf, ...
'parallelize', jobopts.parallelize, ...
'jobDir', jobopts.jobDir, ...
'waitJobs', waitJobs) ;
end
if conf.do_packTestDist
bkcf = bk_packDistMatrix ;
bkcf.blockPaths = testBlockPaths ;
bkcf.distMatrixPath = testMatrixPath ;
bkcf.kerPath = testKerPath ;
bkcf.kerDescrPath = trainKerDescrPath ;
bkcf.testMode = true ;
bkcf.noClobber = conf.noClobber ;
[opts, waitJobs] = ...
bk_packDistMatrix(bkcf, ...
'parallelize', jobopts.parallelize, ...
'jobDir', jobopts.jobDir, ...
'waitJobs', waitJobs) ;
end
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