def pre_process_data(images):
"""Pre-process the data folder to find all images and crop all faces.
Return:
ImageSet of all faces.
"""
face_haar_cascade = HaarCascade('face2.xml')
cropped_images = ImageSet()
for image in images:
cropped_images.extend(get_faces(image, face_haar_cascade))
return cropped_images
