50 lines
1.2 KiB
Matlab
50 lines
1.2 KiB
Matlab
root_test_data = '../../test data/';
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[images,dets,gt_labels] = Collect_wild_imgs(root_test_data);
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%%
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% The offsets and detector bounding boxes
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bboxes = zeros(numel(images), 6);
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for i=1:numel(images)
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image = imread(images(i).img);
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[rows, cols, ~] = size(image);
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% zone in on a smaller version of the image
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zoom_bbox = dets(i,:);
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width = zoom_bbox(3) - zoom_bbox(1);
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height = zoom_bbox(4) - zoom_bbox(2);
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zoom_bbox(1) = zoom_bbox(1) - width/2;
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zoom_bbox(2) = zoom_bbox(2) - height/2;
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zoom_bbox(3) = zoom_bbox(1) + 2 * width;
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zoom_bbox(4) = zoom_bbox(2) + 2 * height;
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zoom_bbox(zoom_bbox < 1) = 1;
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if(zoom_bbox(3) > cols)
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zoom_bbox(3) = cols;
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end
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if(zoom_bbox(4) > rows)
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zoom_bbox(4) = rows;
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end
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zoom_bbox = round(zoom_bbox);
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image_zoom = image(zoom_bbox(2):zoom_bbox(4), zoom_bbox(1):zoom_bbox(3),:);
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% The actual face detection
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face_detector = vision.CascadeObjectDetector();
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bbox = step(face_detector, image_zoom);
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if(~isempty(bbox))
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bboxes(i,:) = [zoom_bbox(1), zoom_bbox(2), bbox(1), bbox(2), bbox(3), bbox(4)];
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end
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release(face_detector);
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end
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save('matlab.mat', 'bboxes', 'dets', 'gt_labels'); |