本文整理汇总了Python中menpo.image.Image.landmarks['temp']方法的典型用法代码示例。如果您正苦于以下问题：Python Image.landmarks['temp']方法的具体用法？Python Image.landmarks['temp']怎么用？Python Image.landmarks['temp']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.landmarks['temp']方法的4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_rotate_image_90_180
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import landmarks['temp'] [as 别名]
def test_rotate_image_90_180():
image = Image(np.array([[1., 2., 3., 4.],
[5., 6., 7., 8.],
[9., 10., 11., 12.]]))
image.landmarks['temp'] = PointCloud(np.array([[1., 1.], [1., 2.],
[2., 1.], [2., 2.]]))
# rotate 90 degrees
rotated_img = image.rotate_ccw_about_centre(theta=90, order=0)
rotated_img.landmarks['temp'] = rotated_img.landmarks['temp'].constrain_to_bounds(
rotated_img.bounds())
assert_allclose(rotated_img.pixels, np.array([[[4., 8., 12.],
[3., 7., 11.],
[2., 6., 10.],
[1., 5., 9.]]]))
assert_almost_equal(rotated_img.landmarks['temp'].points,
np.array([[2., 1.], [1., 1.], [2., 2.], [1., 2.]]))
# rotate 180 degrees
rotated_img = image.rotate_ccw_about_centre(theta=180, order=0)
rotated_img.landmarks['temp'] = rotated_img.landmarks['temp'].constrain_to_bounds(
rotated_img.bounds())
assert_allclose(rotated_img.pixels, np.array([[[12., 11., 10., 9.],
[8., 7., 6., 5.],
[4., 3., 2., 1.]]]))
assert_almost_equal(rotated_img.landmarks['temp'].points,
np.array([[1., 2.], [1., 1.], [0., 2.], [0., 1.]]))示例2: test_mirror_vertical_image
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import landmarks['temp'] [as 别名]
def test_mirror_vertical_image():
image = Image(np.array([[1., 2., 3., 4.],
[5., 6., 7., 8.],
[9., 10., 11., 12.]]))
image.landmarks['temp'] = PointCloud(np.array([[1., 0.], [1., 1.],
[2., 1.], [2., 2.]]))
mirrored_img = image.mirror()
assert_allclose(mirrored_img.pixels,
np.array([[[4., 3., 2., 1.],
[8., 7., 6., 5.],
[12., 11., 10., 9.]]]))
assert_allclose(mirrored_img.landmarks['temp'].points,
np.array([[1., 3.], [1., 2.], [2., 2.], [2., 1.]]))示例3: test_mirror_horizontal_image
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import landmarks['temp'] [as 别名]
def test_mirror_horizontal_image():
image = Image(np.array([[1., 2., 3., 4.],
[5., 6., 7., 8.],
[9., 10., 11., 12.]]))
image.landmarks['temp'] = PointCloud(np.array([[1., 1.], [1., 2.],
[2., 1.], [2., 2.]]))
mirrored_img = image.mirror(axis=0)
assert_allclose(mirrored_img.pixels,
np.array([[[9., 10., 11., 12.],
[5., 6., 7., 8.],
[1., 2., 3., 4.]]]))
assert_allclose(mirrored_img.landmarks['temp'].points,
np.array([[1., 1.], [1., 2.], [0., 1.], [0., 2.]]))示例4: test_rotate_image_45
# 需要导入模块: from menpo.image import Image [as 别名]
# 或者: from menpo.image.Image import landmarks['temp'] [as 别名]
def test_rotate_image_45():
image = Image(np.array([[1., 2., 3., 4.],
[5., 6., 7., 8.],
[9., 10., 11., 12.],
[13., 14., 15., 16.]]))
image.landmarks['temp'] = PointCloud(np.array([[1., 1.], [1., 2.],
[2., 1.], [2., 2.]]))
rotated_img = image.rotate_ccw_about_centre(theta=45, order=0)
assert_allclose(rotated_img.pixels,
np.array([[[0., 0., 4., 0., 0.],
[0., 3., 7., 8., 0.],
[1., 6., 7., 11., 16.],
[0., 5., 10., 15., 15.],
[0., 0., 13., 14., 0.]]]))
assert_almost_equal(rotated_img.landmarks['temp'].points,
np.array([[2.121, 1.414], [1.414, 2.121],
[2.828, 2.121], [2.121, 2.828]]), decimal=3)