c261b64d51ef8f55ad04f7b09cad7da9deacafef,face_recognition/cli.py,,test_image,#Any#Any#Any#Any#Any#,42

Before Change

        scale_factor = 1600.0 / unknown_image.shape[1]
        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            unknown_image = scipy.misc.imresize(unknown_image, scale_factor)

    unknown_encodings = face_recognition.face_encodings(unknown_image)

    for unknown_encoding in unknown_encodings:

After Change

    unknown_image = face_recognition.load_image_file(image_to_check)

    // Scale down image if it"s giant so things run a little faster
    if max(unknown_image.shape) > 1600:
        pil_img = PIL.Image.fromarray(unknown_image)
        pil_img.thumbnail((1600, 1600), PIL.Image.LANCZOS)
        unknown_image = np.array(pil_img)

    unknown_encodings = face_recognition.face_encodings(unknown_image)

    for unknown_encoding in unknown_encodings:
        distances = face_recognition.face_distance(known_face_encodings, unknown_encoding)

Instances