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)
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)
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)
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)
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])
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)
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)
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)
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])
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)
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)
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)
