sustaining_gazes/matlab_version/face_validation/Collect_wild_imgs.m

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Mathematica
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2016-04-28 19:40:36 +00:00
function [images, detections, labels] = Collect_wild_imgs(root_test_data)
use_afw = true;
use_lfpw = true;
use_helen = true;
use_ibug = true;
use_68 = true;
images = [];
labels = [];
detections = [];
if(use_afw)
[img, det, lbl] = Collect_AFW(root_test_data, use_68);
images = cat(1, images, img');
detections = cat(1, detections, det);
labels = cat(1, labels, lbl);
end
if(use_lfpw)
[img, det, lbl] = Collect_LFPW(root_test_data, use_68);
images = cat(1, images, img');
detections = cat(1, detections, det);
labels = cat(1, labels, lbl);
end
if(use_ibug)
[img, det, lbl] = Collect_ibug(root_test_data, use_68);
images = cat(1, images, img');
detections = cat(1, detections, det);
labels = cat(1, labels, lbl);
end
if(use_helen)
[img, det, lbl] = Collect_helen(root_test_data, use_68);
images = cat(1, images, img');
detections = cat(1, detections, det);
labels = cat(1, labels, lbl);
end
% convert to format expected by the Fitting method
detections(:,3) = detections(:,1) + detections(:,3);
detections(:,4) = detections(:,2) + detections(:,4);
end
function [images, detections, labels] = Collect_AFW(root_test_data, use_68)
dataset_loc = [root_test_data, '/AFW/'];
landmarkLabels = dir([dataset_loc '\*.pts']);
num_imgs = size(landmarkLabels,1);
images = struct;
if(use_68)
labels = zeros(num_imgs, 68, 2);
else
labels = zeros(num_imgs, 66, 2);
end
detections = zeros(num_imgs, 4);
load([root_test_data, '/Bounding Boxes/bounding_boxes_afw.mat']);
for imgs = 1:num_imgs
[~,name,~] = fileparts(landmarkLabels(imgs).name);
landmarks = importdata([dataset_loc, landmarkLabels(imgs).name], ' ', 3);
landmarks = landmarks.data;
if(~use_68)
inds_frontal = [1:60,62:64,66:68];
landmarks = landmarks(inds_frontal,:);
end
images(imgs).img = [dataset_loc, name '.jpg'];
labels(imgs,:,:) = landmarks;
detections(imgs,:) = bounding_boxes{imgs}.bb_detector;
end
detections(:,3) = detections(:,3) - detections(:,1);
detections(:,4) = detections(:,4) - detections(:,2);
end
function [images, detections, labels] = Collect_LFPW(root_test_data, use_68)
dataset_loc = [root_test_data, '/lfpw/testset/'];
landmarkLabels = dir([dataset_loc '\*.pts']);
num_imgs = size(landmarkLabels,1);
images = struct;
if(use_68)
labels = zeros(num_imgs, 68, 2);
else
labels = zeros(num_imgs, 66, 2);
end
detections = zeros(num_imgs, 4);
load([root_test_data, '/Bounding Boxes/bounding_boxes_lfpw_testset.mat']);
for imgs = 1:num_imgs
[~,name,~] = fileparts(landmarkLabels(imgs).name);
landmarks = importdata([dataset_loc, landmarkLabels(imgs).name], ' ', 3);
landmarks = landmarks.data;
if(~use_68)
inds_frontal = [1:60,62:64,66:68];
landmarks = landmarks(inds_frontal,:);
end
images(imgs).img = [dataset_loc, name '.png'];
labels(imgs,:,:) = landmarks;
detections(imgs,:) = bounding_boxes{imgs}.bb_detector;
end
detections(:,3) = detections(:,3) - detections(:,1);
detections(:,4) = detections(:,4) - detections(:,2);
end
function [images, detections, labels] = Collect_ibug(root_test_data, use_68)
dataset_loc = [root_test_data, '/ibug/'];
landmarkLabels = dir([dataset_loc '\*.pts']);
num_imgs = size(landmarkLabels,1);
images = struct;
if(use_68)
labels = zeros(num_imgs, 68, 2);
else
labels = zeros(num_imgs, 66, 2);
end
detections = zeros(num_imgs, 4);
load([root_test_data, '/Bounding Boxes/bounding_boxes_ibug.mat']);
for imgs = 1:num_imgs
[~,name,~] = fileparts(landmarkLabels(imgs).name);
landmarks = importdata([dataset_loc, landmarkLabels(imgs).name], ' ', 3);
landmarks = landmarks.data;
if(~use_68)
inds_frontal = [1:60,62:64,66:68];
landmarks = landmarks(inds_frontal,:);
end
images(imgs).img = [dataset_loc, name '.jpg'];
labels(imgs,:,:) = landmarks;
detections(imgs,:) = bounding_boxes{imgs}.bb_detector;
end
detections(:,3) = detections(:,3) - detections(:,1);
detections(:,4) = detections(:,4) - detections(:,2);
end
function [images, detections, labels] = Collect_helen(root_test_data, use_68)
dataset_loc = [root_test_data, '/helen/testset/'];
landmarkLabels = dir([dataset_loc '\*.pts']);
num_imgs = size(landmarkLabels,1);
images = struct;
if(use_68)
labels = zeros(num_imgs, 68, 2);
else
labels = zeros(num_imgs, 66, 2);
end
detections = zeros(num_imgs, 4);
load([root_test_data, '/Bounding Boxes/bounding_boxes_helen_testset.mat']);
for imgs = 1:num_imgs
[~,name,~] = fileparts(landmarkLabels(imgs).name);
landmarks = importdata([dataset_loc, landmarkLabels(imgs).name], ' ', 3);
landmarks = landmarks.data;
if(~use_68)
inds_frontal = [1:60,62:64,66:68];
landmarks = landmarks(inds_frontal,:);
end
images(imgs).img = [dataset_loc, name '.jpg'];
labels(imgs,:,:) = landmarks;
detections(imgs,:) = bounding_boxes{imgs}.bb_detector;
end
detections(:,3) = detections(:,3) - detections(:,1);
detections(:,4) = detections(:,4) - detections(:,2);
end