Python Image.normalize_stdの例

コード例 #1

ファイル: image_test.py プロジェクト: silasxue/menpo

def test_normalize_std_image():
    pixels = np.ones((3, 120, 120))
    pixels[0] = 0.5
    pixels[1] = 0.2345
    image = Image(pixels)
    new_image = image.normalize_std()
    assert_allclose(np.mean(new_image.pixels), 0, atol=1e-10)
    assert_allclose(np.std(new_image.pixels), 1)

コード例 #2

ファイル: image_test.py プロジェクト: HaoyangWang/menpo

def test_normalize_std_image():
    pixels = np.ones((3, 120, 120))
    pixels[0] = 0.5
    pixels[1] = 0.2345
    image = Image(pixels)
    new_image = image.normalize_std()
    assert_allclose(np.mean(new_image.pixels), 0, atol=1e-10)
    assert_allclose(np.std(new_image.pixels), 1)

コード例 #3

ファイル: test_image.py プロジェクト: tzirakis/menpo

def test_normalize_std_image():
    pixels = np.ones((3, 120, 120))
    pixels[0] = 0.5
    pixels[1] = 0.2345
    image = Image(pixels)
    with warnings.catch_warnings():
        warnings.simplefilter("ignore")
        new_image = image.normalize_std()
    assert_allclose(np.mean(new_image.pixels), 0, atol=1e-10)
    assert_allclose(np.std(new_image.pixels), 1)

コード例 #4

ファイル: image_test.py プロジェクト: dvdm/menpo

def test_normalize_std_image():
    pixels = np.ones((3, 120, 120))
    pixels[0] = 0.5
    pixels[1] = 0.2345
    image = Image(pixels)
    with warnings.catch_warnings():
        warnings.simplefilter("ignore")
        new_image = image.normalize_std()
    assert_allclose(np.mean(new_image.pixels), 0, atol=1e-10)
    assert_allclose(np.std(new_image.pixels), 1)

コード例 #5

ファイル: image_test.py プロジェクト: silasxue/menpo

def test_normalize_std_image_per_channel():
    pixels = np.random.randn(3, 120, 120)
    pixels[1] *= 9
    pixels[0] += -3
    pixels[2] /= 140
    image = Image(pixels)
    new_image = image.normalize_std(mode='per_channel')
    assert_allclose(np.mean(new_image.as_vector(keep_channels=True), axis=1),
                    0,
                    atol=1e-10)
    assert_allclose(np.std(new_image.as_vector(keep_channels=True), axis=1), 1)

コード例 #6

ファイル: image_test.py プロジェクト: nontas/menpo

def test_normalize_std_image_per_channel():
    pixels = np.random.randn(3, 120, 120)
    pixels[1] *= 9
    pixels[0] += -3
    pixels[2] /= 140
    image = Image(pixels)
    with warnings.catch_warnings():
        warnings.simplefilter("ignore")
        new_image = image.normalize_std(mode="per_channel")
    assert_allclose(np.mean(new_image.as_vector(keep_channels=True), axis=1), 0, atol=1e-10)
    assert_allclose(np.std(new_image.as_vector(keep_channels=True), axis=1), 1)

コード例 #7

ファイル: image_test.py プロジェクト: HaoyangWang/menpo

def test_normalize_std_image_per_channel():
    pixels = np.random.randn(3, 120, 120)
    pixels[1] *= 9
    pixels[0] += -3
    pixels[2] /= 140
    image = Image(pixels)
    new_image = image.normalize_std(mode='per_channel')
    assert_allclose(
        np.mean(new_image.as_vector(keep_channels=True), axis=1), 0,
        atol=1e-10)
    assert_allclose(
        np.std(new_image.as_vector(keep_channels=True), axis=1), 1)

コード例 #8

ファイル: test_image.py プロジェクト: tzirakis/menpo

def test_normalize_std_image_per_channel():
    pixels = np.random.randn(3, 120, 120)
    pixels[1] *= 9
    pixels[0] += -3
    pixels[2] /= 140
    image = Image(pixels)
    with warnings.catch_warnings():
        warnings.simplefilter("ignore")
        new_image = image.normalize_std(mode="per_channel")
    assert_allclose(np.mean(new_image.as_vector(keep_channels=True), axis=1),
                    0,
                    atol=1e-10)
    assert_allclose(np.std(new_image.as_vector(keep_channels=True), axis=1), 1)