Python igo示例

示例#1

文件： test_features.py 项目： AshwinRajendraprasad/menpo

def test_igo_channels():
    n_cases = 3
    channels = np.random.randint(1, 10, [n_cases, 1])
    for i in range(n_cases):
        image = Image(np.random.randn(channels[i, 0], 40, 40))
        igo_img = igo(image)
        igo2_img = igo(image, double_angles=True)
        assert_allclose(igo_img.shape, image.shape)
        assert_allclose(igo2_img.shape, image.shape)
        assert_allclose(igo_img.n_channels, 2 * channels[i, 0])
        assert_allclose(igo2_img.n_channels, 4 * channels[i, 0])

示例#2

文件： test_features.py 项目： jassonvia/menpo

def test_igo_values():
    image = Image([[1.0, 2.0], [2.0, 1.0]])
    igo_img = igo(image)
    res = np.array(
        [[[0.70710678, 0.70710678], [-0.70710678, -0.70710678]], [[0.70710678, -0.70710678], [0.70710678, -0.70710678]]]
    )
    assert_allclose(igo_img.pixels, res)
    image = Image([[0.0, 0.0], [0.0, 0.0]])
    igo_img = igo(image)
    res = np.array([[[0.0, 0.0], [0.0, 0.0]], [[1.0, 1.0], [1.0, 1.0]]])
    assert_allclose(igo_img.pixels, res)

示例#3

def test_igo_values():
    image = Image([[1.0, 2.0], [2.0, 1.0]])
    igo_img = igo(image)
    res = np.array([
        [[0.70710678, 0.70710678], [-0.70710678, -0.70710678]],
        [[0.70710678, -0.70710678], [0.70710678, -0.70710678]],
    ])
    assert_allclose(igo_img.pixels, res)
    image = Image([[0.0, 0.0], [0.0, 0.0]])
    igo_img = igo(image)
    res = np.array([[[0.0, 0.0], [0.0, 0.0]], [[1.0, 1.0], [1.0, 1.0]]])
    assert_allclose(igo_img.pixels, res)

示例#4

文件： test_features.py 项目： jacksoncsy/menpo

def test_igo_values():
    image = Image([[1, 2], [2, 1]])
    igo_img = igo(image)
    res = np.array([
        [[math.cos(math.radians(45)), math.sin(math.radians(45))],
         [math.cos(math.radians(90+45)), math.sin(math.radians(90+45))]],
        [[math.cos(math.radians(-45)), math.sin(math.radians(-45))],
         [math.cos(math.radians(180+45)), math.sin(math.radians(180+45))]]])
    assert_allclose(igo_img.pixels, res)
    image = Image([[0, 0], [0, 0]])
    igo_img = igo(image)
    res = np.array([[[1., 0.], [1., 0.]], [[1., 0.], [1., 0.]]])
    assert_allclose(igo_img.pixels, res)

示例#5

文件： test_features.py 项目： jacksoncsy/menpo

def test_igo_values():
    image = Image([[1, 2], [2, 1]])
    igo_img = igo(image)
    res = np.array(
        [[[math.cos(math.radians(45)),
           math.sin(math.radians(45))],
          [math.cos(math.radians(90 + 45)),
           math.sin(math.radians(90 + 45))]],
         [[math.cos(math.radians(-45)),
           math.sin(math.radians(-45))],
          [math.cos(math.radians(180 + 45)),
           math.sin(math.radians(180 + 45))]]])
    assert_allclose(igo_img.pixels, res)
    image = Image([[0, 0], [0, 0]])
    igo_img = igo(image)
    res = np.array([[[1., 0.], [1., 0.]], [[1., 0.], [1., 0.]]])
    assert_allclose(igo_img.pixels, res)

示例#6

文件： aam.py 项目： mohamedelashhab/Lung-cancer-detection-using-CXRs-and-pattern-recognition-GP

def custom_double_igo(image):
    return igo(igo(image))