Python MaskedImage.as_greyscale示例

示例#1

def test_as_greyscale_average():
    ones = np.ones([3, 120, 120])
    image = MaskedImage(ones)
    image.pixels[0] *= 0.5
    new_image = image.as_greyscale(mode='average')
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)
    assert_allclose(new_image.pixels[0], ones[0] * 0.83333333)

示例#2

def test_as_greyscale_luminosity():
    ones = np.ones([3, 120, 120])
    image = MaskedImage(ones)
    image.pixels[0] *= 0.5
    new_image = image.as_greyscale(mode='luminosity')
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)
    assert_allclose(new_image.pixels[0], ones[0] * 0.850532)

示例#3

文件： image_test.py 项目： OlivierML/menpo

def test_as_greyscale_average():
    ones = np.ones([3, 120, 120])
    image = MaskedImage(ones)
    image.pixels[0] *= 0.5
    new_image = image.as_greyscale(mode='average')
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)
    assert_allclose(new_image.pixels[0], ones[0] * 0.83333333)

示例#4

文件： image_test.py 项目： OlivierML/menpo

def test_as_greyscale_luminosity():
    ones = np.ones([3, 120, 120])
    image = MaskedImage(ones)
    image.pixels[0] *= 0.5
    new_image = image.as_greyscale(mode='luminosity')
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)
    assert_allclose(new_image.pixels[0], ones[0] * 0.850532)

示例#5

文件： image_test.py 项目： ikassi/menpo

def test_as_greyscale_channels():
    image = MaskedImage(np.random.randn(120, 120, 3))
    new_image = image.as_greyscale(mode='channel', channel=0)
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)
    assert_allclose(new_image.pixels[..., 0], image.pixels[..., 0])

示例#6

文件： image_test.py 项目： ikassi/menpo

def test_as_greyscale_channels_no_index():
    image = MaskedImage(np.ones([120, 120, 3]))
    new_image = image.as_greyscale(mode='channel')
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)

示例#7

文件： image_test.py 项目： ikassi/menpo

def test_as_greyscale_average():
    image = MaskedImage(np.ones([120, 120, 3]))
    new_image = image.as_greyscale(mode='average')
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)

示例#8

文件： image_test.py 项目： ikassi/menpo

def test_as_greyscale_luminosity():
    image = MaskedImage(np.ones([120, 120, 3]))
    new_image = image.as_greyscale(mode='luminosity')
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)

示例#9

文件： image_test.py 项目： jacksoncsy/menpo

def test_as_greyscale_channels():
    image = MaskedImage(np.random.randn(120, 120, 3))
    new_image = image.as_greyscale(mode='channel', channel=0)
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)
    assert_allclose(new_image.pixels[..., 0], image.pixels[..., 0])

示例#10

文件： image_test.py 项目： jacksoncsy/menpo

def test_as_greyscale_channels_no_index():
    image = MaskedImage(np.ones([120, 120, 3]))
    new_image = image.as_greyscale(mode='channel')
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)

示例#11

文件： image_test.py 项目： jacksoncsy/menpo

def test_as_greyscale_average():
    image = MaskedImage(np.ones([120, 120, 3]))
    new_image = image.as_greyscale(mode='average')
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)

示例#12

文件： image_test.py 项目： jacksoncsy/menpo

def test_as_greyscale_luminosity():
    image = MaskedImage(np.ones([120, 120, 3]))
    new_image = image.as_greyscale(mode='luminosity')
    assert (new_image.shape == image.shape)
    assert (new_image.n_channels == 1)