81 lines
2.4 KiB
Matlab
81 lines
2.4 KiB
Matlab
function Script_PDM_eyes()
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addpath('../PDM_helpers/');
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addpath('../fitting/normxcorr2_mex_ALL');
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addpath('../fitting/');
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addpath('../CCNF/');
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addpath('../models/');
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% Replace this with the location of in 300 faces in the wild data
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if(exist([getenv('USERPROFILE') '/Dropbox/AAM/test data/'], 'file'))
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root_test_data = [getenv('USERPROFILE') '/Dropbox/AAM/test data/'];
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else
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root_test_data = 'F:/Dropbox/Dropbox/AAM/test data/';
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end
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[images, detections, labels] = Collect_wild_imgs(root_test_data);
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%% Fitting the model to the provided image
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% the default PDM to use
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pdmLoc = ['../models/pdm/pdm_68_aligned_wild_eyes.mat'];
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load(pdmLoc);
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pdm = struct;
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pdm.M = double(M);
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pdm.E = double(E);
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pdm.V = double(V);
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num_points = numel(M)/3;
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errors = zeros(numel(images),1);
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shapes_all = zeros(size(labels,2),size(labels,3), size(labels,1));
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labels_all = zeros(size(labels,2),size(labels,3), size(labels,1));
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errors_normed = zeros(numel(images),1);
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errors_left_eye = zeros(numel(images),1);
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errors_right_eye = zeros(numel(images),1);
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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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labels_curr = squeeze(labels(i,:,:));
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[ a, R, T, ~, l_params, err, shapeOrtho] = fit_PDM_ortho_proj_to_2D(pdm.M, pdm.E, pdm.V, labels_curr);
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shape = shapeOrtho;
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shapes_all(:,:,i) = shapeOrtho;
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labels_all(:,:,i) = labels_curr;
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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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valid_points = sum(squeeze(labels(i,:,:)),2) > 0;
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valid_points(1:17) = 0;
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actualShape = squeeze(labels(i,:,:));
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errors(i) = sqrt(mean(sum((actualShape(valid_points,:) - shape(valid_points,:)).^2,2)));
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width = ((max(actualShape(valid_points,1)) - min(actualShape(valid_points,1)))+(max(actualShape(valid_points,2)) - min(actualShape(valid_points,2))))/2;
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errors_normed(i) = errors(i)/width;
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errors_left_eye(i) = compute_error_point_to_line_left_eye(actualShape, shapeOrtho, [0]);
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errors_right_eye(i) = compute_error_point_to_line_right_eye(actualShape, shapeOrtho, [0]);
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if(errors_normed(i) > 0.035 || errors_left_eye(i) > 0.035 || errors_right_eye(i) > 0.035)
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imshow(image);hold on; plot(shape(:,1), shape(:,2), '.g'); hold off;
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end
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end
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save('Errors_PDM_eyes.mat', 'errors_normed', 'errors_left_eye', 'errors_right_eye');
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end
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