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function [conf, jobId] = bk_calcFeatures(conf, varargin)
% BK_CALCFEATURES Compute (quantized) features for multiple images
%
% CONF parameters:
%
% imageNames: name of the images to process (without .jpg suffix).
% imageDir: directory containing the jpg images.
% featDir: output feature directory.
% wordDir: output quantized feature directory (optional).
% featOpts: feature options (defininig the features to process).
% jitterName: which jitter to apply to images.
% noClobber: TRUE to avoid clobbering existing files.
%
% 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_.imageNames = {} ;
conf_.imageDir = '' ;
conf_.featDir = '' ;
conf_.wordDir = '' ;
conf_.featOpts = struct ;
conf_.jitterName = '' ;
conf_.vocabPath = '' ;
conf_.noClobber = false ;
if nargin == 0, conf = conf_ ; return ; end
conf = override(conf_, conf) ;
[jobId, taskId] = parallelDriver(varargin{:}, 'numNodes', 5) ;
if ~isnan(jobId) & isnan(taskId) ; return ; end
if ~ isempty(conf.featDir), ensuredir(conf.featDir) ; end
if ~ isempty(conf.wordDir), ensuredir(conf.wordDir) ; end
% --------------------------------------------------------------------
% Process all images
% --------------------------------------------------------------------
rand('state', vl_getpid) ;
randn('state', vl_getpid) ;
perm = randperm(length(conf.imageNames)) ;
for ii = perm
% try to lock the image
locked = parallelLock(ii, varargin{:}) ;
if ~locked, continue ; end
imageName = conf.imageNames{ii} ;
imagePath = fullfile(conf.imageDir, imageName) ;
if ~isempty(conf.jitterName)
imageName = [imageName '_' conf.jitterName] ;
end
fprintf('Processing ''%s''.\n', imageName) ;
% ------------------------------------------------------------------
% No clobber logic
% ------------------------------------------------------------------
skip = logical(conf.noClobber) ;
if ~isempty(conf.featDir)
skip = skip & checkFile(fullfile(conf.featDir, [imageName '.mat'])) ;
end
if ~isempty(conf.wordDir)
skip = skip & checkFile(fullfile(conf.wordDir, [imageName '.mat'])) ;
end
if skip
fprintf('\tSkipping to avoid clobbering.\n') ;
continue ;
end
% ------------------------------------------------------------------
% Read and jitter image
% ------------------------------------------------------------------
fprintf('\tReading image ''%s''.\n', imagePath) ;
im = getImage(imagePath) ;
im = im2double(im) ;
if ~isempty(conf.jitterName)
fprintf('\tApplying transformation ''%s''.\n', conf.jitterName) ;
im = tfImage(conf.jitterName, im) ;
end
% ------------------------------------------------------------------
% Extraction
% ------------------------------------------------------------------
fprintf('\tRunning ''%s''.\n', func2str(conf.featOpts.extractFn)) ;
feat = feval(conf.featOpts.extractFn, conf.featOpts, im) ;
if ~isempty(conf.featDir)
featPath = fullfile(conf.featDir, imageName);
fprintf('\tSaving feature file ''%s''.\n', featPath) ;
ssave(featPath, '-STRUCT', 'feat') ;
end
% ------------------------------------------------------------------
% Quantization
% ------------------------------------------------------------------
if ~ isempty(conf.wordDir)
fprintf('\tRunning ''%s''.\n', func2str(conf.featOpts.quantizeFn)) ;
vocab = getVocab(conf.vocabPath) ;
words = feval(conf.featOpts.quantizeFn, ...
vocab, ...
feat.descrs) ;
feat = rmfield(feat, 'descrs') ;
feat.words = words ;
switch conf.featOpts.format
case 'dense'
feat = sparse2dense(feat) ;
end
wordPath = fullfile(conf.wordDir, imageName) ;
fprintf('\tSaving word file ''%s''.\n', wordPath) ;
ssave(wordPath, '-STRUCT', 'feat') ;
end
end % next bit
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