(images, number_of_times_to_upsample=1, batch_size=128)
return cnn_face_detector(images, number_of_times_to_upsample, batch_size=batch_size)
Returns an 2d array of dlib rects of human faces in a image using the cnn face detector

    :param images: A list of images (each as a numpy array)
    :param number_of_times_to_upsample: How many times to upsample the image looking for faces. Higher numbers find smaller faces.
    :return: A list of dlib 'rect' objects of found face locations
Returns an 2d array of dlib rects of human faces in a image using the cnn face detector
Returns an 2d array of dlib rects of human faces in a image using the cnn face detector
def _raw_face_locations_batched(images, number_of_times_to_upsample=1, batch_size=128):
    """
    Returns an 2d array of dlib rects of human faces in a image using the cnn face detector

    :param images: A list of images (each as a numpy array)
    :param number_of_times_to_upsample: How many times to upsample the image looking for faces. Higher numbers find smaller faces.
    :return: A list of dlib 'rect' objects of found face locations
    """
    return cnn_face_detector(images, number_of_times_to_upsample, batch_size=batch_size)
def _raw_face_locations_batched ( images , number_of_times_to_upsample = 1 , batch_size = 128 ) : return cnn_face_detector ( images , number_of_times_to_upsample , batch_size = batch_size )