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function [conf, jobId] = bk_testAppModel(conf, varargin)
% BK_TESTAPPMODEL
%
% modelDirs: one for each class
% roiDir: where to find GT rois
%
% 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_.kerDir = '' ;
conf_.kerDb = struct ;
conf_.trainHistDir = '' ;
conf_.testRoiDbPath = '' ;
conf_.testHistDir = '' ;
conf_.modelPath = '' ;
conf_.noClobber = false ;
if nargin == 0, conf = conf_ ; return ; end
conf = override(conf_, conf, 1) ;
[jobId, taskId] = parallelDriver('numNodes', 1, ...
'freeMemMb', 2 * 1024, ...
varargin{:} );
if ~isnan(jobId) & isnan(taskId) ; return ; end
% --------------------------------------------------------------------
% Process all classes and aspects
% --------------------------------------------------------------------
rand('state', 0) ;
randn('state', 0) ;
scorePath = fullfile(conf.testHistDir, 'test-scores.mat') ;
if conf.noClobber & checkFile(scorePath)
fprintf('\tSkipping to avoid clobbering ''%s''.\n', ...
scorePath) ;
return ;
end
% --------------------------------------------------------------------
% Load pieces
% --------------------------------------------------------------------
% Test ROI DB ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fprintf('\tLoading testing ROI DB ''%s''.\n', ...
conf.testRoiDbPath) ;
tsdb = load(conf.testRoiDbPath) ;
% Model ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fprintf('\tLoading appearance model ''%ss''.\n', ...
conf.modelPath) ;
model = load(conf.modelPath) ;
% Kernel ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
base = loadTestMixedKernel(conf.kerDir, conf.kerDb, model.d, model.svind) ;
% ------------------------------------------------------------------
% Test it
% ------------------------------------------------------------------
scores = model.alphay' * base + model.b ;
scorePath = fullfile(conf.testHistDir, 'test-scores.mat') ;
fprintf('\tSaving scores to ''%s''.\n', scorePath) ;
ssave(scorePath, 'scores') ;
figure(100) ; clf ; hold on ;
[recall,precision,info] = pr(tsdb.labels, scores) ;
plot(recall,precision,'b-','linewidth',2) ;
grid on ;
xlim([0 1]) ;
ylim([0 1]) ;
xlabel('recall') ;
ylabel('precision') ;
title(sprintf('PR on test ROI DB - AUC: %.2f %% (%.2f %%)', ...
info.auc, info.auc_pa08)) ;
axis square ;
drawnow ;
figPath = fullfile(conf.testHistDir, 'test-pr.eps') ;
printsize(.97 + 0.001*randn) ; % ugly hack for matlab repeat
print('-depsc', figPath) ;
% ------------------------------------------------------------------
function base = loadTestMixedKernel(kerDir, kernels, weights, svs)
% ------------------------------------------------------------------
base = [] ;
K = length(kernels) ;
for ki = 1:K
kerPath = fullfile(kerDir, ['test-' kernels(ki).name '.mat']) ;
fprintf('\tLoading kernel matrix ''%s''.\n', kerPath) ;
kernels_ = load(kerPath) ;
% only SVs
kernels_.matrix = kernels_.matrix(svs, :) ;
% accumulate to base
if isempty(base)
base = zeros(size(kernels_.matrix)) ;
end
base = base + weights(ki) * kernels_.matrix ;
end
info = whos('base') ;
fprintf('\tKernel matrix size %.2f GB\n', info.bytes / 1024^3) ;
clear info ;
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