本文整理汇总了Python中menpo.image.Image.normalize_std_inplace方法的典型用法代码示例。如果您正苦于以下问题：Python Image.normalize_std_inplace方法的具体用法？Python Image.normalize_std_inplace怎么用？Python Image.normalize_std_inplace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.normalize_std_inplace方法的2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_normalize_std_image
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import normalize_std_inplace [as 别名]
def test_normalize_std_image():
pixels = np.ones((120, 120, 3))
pixels[..., 0] = 0.5
pixels[..., 1] = 0.2345
image = Image(pixels)
image.normalize_std_inplace()
assert_allclose(np.mean(image.pixels), 0, atol=1e-10)
assert_allclose(np.std(image.pixels), 1)示例2: test_normalize_std_image_per_channel
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import normalize_std_inplace [as 别名]
def test_normalize_std_image_per_channel():
pixels = np.random.randn(120, 120, 3)
pixels[..., 1] *= 9
pixels[..., 0] += -3
pixels[..., 2] /= 140
image = Image(pixels)
image.normalize_std_inplace(mode='per_channel')
assert_allclose(
np.mean(image.as_vector(keep_channels=True), axis=0), 0, atol=1e-10)
assert_allclose(
np.std(image.as_vector(keep_channels=True), axis=0), 1)