Yale Faces Dataset

Loading the faces:

yf = spx.data.image.YaleFaces();
yf.load();

Number of subjects:

ns = yf.num_subjects();

Images to load per subject:

ni = yf.ImagesToLoadPerSubject;

Images of a particular subject:

Y = yf.get_subject_images(i);

Resized images of a particular subject:

Y = yf.get_subject_images_resized(i)

Total images:

yf.num_total_images()

Size of image in pixels:

yf.image_size()

Image by global index across all subjects:

yf.get_image_by_glob_idx(index)

Resize all images in buffer:

yf.resize_all(width, height)
yf.resize_all(42, 48);

Describe the contents of the database:

yf.describe()

Create a canvas of images randomly chosen from all subjects:

canvas = yf.create_random_canvas();
imshow(canvas);
colormap(gray);
axis image;
axis off;

Creating a canvas for a particular subject:

yf.resize_all(42, 48);
canvas = yf.create_subject_canvas(1);
imshow(canvas);
colormap(gray);
axis image;
axis off;

Pick ten random images from each subject:

images = yf.training_set_a()