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87 lines
2.2 KiB
Matlab
87 lines
2.2 KiB
Matlab
function Script_CECLM_menpo_valid()
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addpath(genpath('../'));
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[images, detections, labels] = Collect_valid_imgs('G:\Datasets\menpo/');
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%% loading the CE-CLM model and parameters
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[patches, pdm, clmParams, early_term_params] = Load_CECLM_menpo();
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views = [0,0,0; 0,-30,0; 0,30,0; 0,-55,0; 0,55,0; 0,0,30; 0,0,-30; 0,-90,0; 0,90,0; 0,-70,40; 0,70,-40];
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views = views * pi/180;
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%% Setup recording
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experiment.params = clmParams;
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num_points = numel(pdm.M)/3;
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shapes_all = cell(numel(images), 1);
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labels_all = cell(numel(images), 1);
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lhoods = zeros(numel(images),1);
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all_lmark_lhoods = zeros(num_points, numel(images));
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all_views_used = zeros(numel(images),1);
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% Change if you want to visualize the outputs
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verbose = false;
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output_img = false;
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if(output_img)
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output_root = './ceclm_menpo_out/';
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if(~exist(output_root, 'dir'))
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mkdir(output_root);
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end
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end
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if(verbose)
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f = figure;
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end
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%% Fitting the model to the provided images
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tic
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for i=1:numel(images)
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image = imread(images(i).img);
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image_orig = image;
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if(size(image,3) == 3)
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image = rgb2gray(image);
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end
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bbox = squeeze(detections(i,:));
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[shape,~,~,lhood,lmark_lhood,view_used] =...
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Fitting_from_bb_multi_hyp(image, [], bbox, pdm, patches, clmParams, views, early_term_params);
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all_lmark_lhoods(:,i) = lmark_lhood;
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all_views_used(i) = view_used;
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shapes_all{i} = shape;
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labels_all{i} = labels{i};
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if(mod(i, 200)==0)
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fprintf('%d done\n', i );
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end
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lhoods(i) = lhood;
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if(output_img)
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v_points = logical(patches(1).visibilities(view_used,:))';
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DrawFaceOnImg(image_orig, shape, sprintf('%s/%s%d.jpg', output_root, 'fit', i), bbox, v_points);
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end
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if(verbose)
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v_points = logical(patches(1).visibilities(view_used,:))';
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DrawFaceOnFig(image_orig, shape, bbox, v_points);
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end
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end
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toc
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experiment.lhoods = lhoods;
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experiment.shapes = shapes_all;
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experiment.labels = labels_all;
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experiment.all_lmark_lhoods = all_lmark_lhoods;
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experiment.all_views_used = all_views_used;
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%%
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output_results = 'results/results_ceclm_menpo_valid.mat';
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save(output_results, 'experiment');
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end
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