Python normalize_norm Examples

Example #1

File: test_features.py Project: shubhampachori12110095/ECT-FaceAlignment

def test_normalize_norm_channels():
    pixels = np.arange(27, dtype=np.float).reshape([3, 3, 3])
    image = Image(pixels, copy=False)
    new_image = normalize_norm(image, mode='per_channel')
    assert_allclose(np.linalg.norm(new_image.pixels[0]), 1.)
    assert_allclose(np.linalg.norm(new_image.pixels[1]), 1.)
    assert_allclose(np.linalg.norm(new_image.pixels[2]), 1.)

Example #2

File: test_features.py Project: AshwinRajendraprasad/menpo

def test_normalize_norm_channels():
    pixels = np.arange(27, dtype=np.float).reshape([3, 3, 3])
    image = Image(pixels, copy=False)
    new_image = normalize_norm(image, mode='per_channel')
    assert_allclose(np.linalg.norm(new_image.pixels[0]),  1.)
    assert_allclose(np.linalg.norm(new_image.pixels[1]),  1.)
    assert_allclose(np.linalg.norm(new_image.pixels[2]),  1.)

Example #3

def test_normalize_norm_all():
    pixels = np.arange(27, dtype=np.float).reshape([3, 3, 3])
    image = Image(pixels, copy=False)
    new_image = normalize_norm(image, mode="all")
    assert_allclose(np.linalg.norm(new_image.pixels), 1.0)