本文整理汇总了Python中menpo.image.Image.as_greyscale方法的典型用法代码示例。如果您正苦于以下问题:Python Image.as_greyscale方法的具体用法?Python Image.as_greyscale怎么用?Python Image.as_greyscale使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类menpo.image.Image
的用法示例。
在下文中一共展示了Image.as_greyscale方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_as_greyscale_average
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import as_greyscale [as 别名]
def test_as_greyscale_average():
ones = np.ones([3, 120, 120])
image = Image(ones, copy=True)
image.pixels[0].fill(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: test_as_greyscale_luminosity
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import as_greyscale [as 别名]
def test_as_greyscale_luminosity():
ones = np.ones([3, 120, 120])
image = Image(ones, copy=True)
image.pixels[0].fill(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: test_as_greyscale_channels
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import as_greyscale [as 别名]
def test_as_greyscale_channels():
image = Image(np.random.randn(3, 120, 120), copy=False)
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])