def test_lbp_transform():
im = luispedro_jpg().max(2)
transformed = lbp_transform(im, 8, 4, preserve_shape=True)
assert transformed.shape == im.shape
assert transformed.min() >= 0
assert transformed.max() < 2**4
transformed = lbp_transform(im, 8, 4, preserve_shape=False)
assert len(transformed.shape) == 1
assert transformed.size == im.size
np.random.seed(234)
im *= np.random.random(im.shape) > .1
transformed = lbp_transform(im, 8, 4, preserve_shape=False, ignore_zeros=True)
assert len(transformed.shape) == 1
assert transformed.size == (im.size - (im==0).sum())
def conv_local_binary_pattern_features(image):
features = lbp_transform(image, 3, 6, preserve_shape=True).ravel()
return np.array(features)
def test_lbp_3d():
im = np.arange(10 * 20 * 3).reshape((10, 20, 3))
with pytest.raises(ValueError):
lbp_transform(im, 1, 8)
def test_lbp_3d():
im = np.arange(10*20*3).reshape((10,20,3))
lbp_transform(im, 1, 8)
