Returns an array of bounding boxes of human faces in a image :param img: An image (as a numpy array) :param number_of_times_to_upsample:

Convert a dlib 'rect' object to a plain tuple in (top, right, bottom, left) order :param rect: a dlib 'rect' object :return: a plain tup

Make sure a tuple in (top, right, bottom, left) order is within the bounds of the image. :param rect: plain tuple representation of the rec

Convert a tuple in (top, right, bottom, left) order to a dlib `rect` object :param rect: plain tuple representation of the rect in (top, ri

Given a list of face encodings, compare them to a known face encoding and get a euclidean distance for each comparison face. The distance tel

Compare a list of face encodings against a candidate encoding to see if they match. :param known_face_encodings: A list of known face encodi

Given an image, return the 128-dimension face encoding for each face in the image. :param face_image: The image that contains one or more fa

Given an image, returns a dict of face feature locations (eyes, nose, etc) for each face in the image :param face_image: image to search

Returns an array of bounding boxes of human faces in a image :param img: An image (as a numpy array) :param number_of_times_to_upsample:

Loads an image file (.jpg, .png, etc) into a numpy array :param filename: image file to load :param mode: format to convert the image to