本文整理汇总了Python中menpo.image.Image.extract_channels方法的典型用法代码示例。如果您正苦于以下问题:Python Image.extract_channels方法的具体用法?Python Image.extract_channels怎么用?Python Image.extract_channels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.extract_channels方法的5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_image_extract_channels_multiple_reversed
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import extract_channels [as 别名]
def test_image_extract_channels_multiple_reversed():
image = Image(np.random.rand(120, 120, 3))
extracted = image.extract_channels([2, 0])
assert_equal(extracted.pixels[..., 0], image.pixels[..., 2])
assert_equal(extracted.pixels[..., 1], image.pixels[..., 0])
示例2: test_image_extract_channels
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import extract_channels [as 别名]
def test_image_extract_channels():
image = Image(np.random.rand(120, 120, 3))
extracted = image.extract_channels(0)
assert_equal(extracted.pixels, image.pixels[..., [0]])
示例3: test_image_extract_channels
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import extract_channels [as 别名]
def test_image_extract_channels():
image = Image(np.random.rand(3, 120, 120), copy=False)
extracted = image.extract_channels(0)
assert_equal(extracted.pixels, image.pixels[[0], ...])
示例4: test_image_extract_channels_multiple_reversed
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import extract_channels [as 别名]
def test_image_extract_channels_multiple_reversed():
image = Image(np.random.rand(3, 120, 120), copy=False)
extracted = image.extract_channels([2, 0])
assert_equal(extracted.pixels[0], image.pixels[2])
assert_equal(extracted.pixels[1], image.pixels[0])
示例5: test_image_extract_channels_multiple
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import extract_channels [as 别名]
def test_image_extract_channels_multiple():
image = Image(np.random.rand(3, 120, 120))
extracted = image.extract_channels([0, 2])
assert_equal(extracted.pixels[0], image.pixels[0])
assert_equal(extracted.pixels[1], image.pixels[2])