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