Exercise

Multiple faces

In this exercise, you will detect multiple faces in an image and show them individually. Think of this as a way to create a dataset of your own friends' faces!

Image preloaded as friends_image.

The Cascade of classifiers class from feature module has already been imported, as well as the show_detected_face() function which is used to display the face marked in the image and crop it so it can be shown separately.

Instructions

100 XP

Load the trained file .lbp_frontal_face_cascade_filename(). from the data module.
Initialize the detector cascade with trained file.
Detect the faces in the image, setting a scale_factor of 1.2 and step_ratio of 1.