本文整理汇总了Python中nibabel.quaternions.angle_axis2mat方法的典型用法代码示例。如果您正苦于以下问题：Python quaternions.angle_axis2mat方法的具体用法？Python quaternions.angle_axis2mat怎么用？Python quaternions.angle_axis2mat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nibabel.quaternions的用法示例。
在下文中一共展示了quaternions.angle_axis2mat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: angle_axis2euler
# 需要导入模块: from nibabel import quaternions [as 别名]
# 或者: from nibabel.quaternions import angle_axis2mat [as 别名]
def angle_axis2euler(theta, vector, is_normalized=False):
''' Convert angle, axis pair to Euler angles
Parameters
----------
theta : scalar
angle of rotation
vector : 3 element sequence
vector specifying axis for rotation.
is_normalized : bool, optional
True if vector is already normalized (has norm of 1). Default
False
Returns
-------
z : scalar
y : scalar
x : scalar
Rotations in radians around z, y, x axes, respectively
Examples
--------
>>> z, y, x = angle_axis2euler(0, [1, 0, 0])
>>> np.allclose((z, y, x), 0)
True
Notes
-----
It's possible to reduce the amount of calculation a little, by
combining parts of the ``angle_axis2mat`` and ``mat2euler``
functions, but the reduction in computation is small, and the code
repetition is large.
'''
# delayed import to avoid cyclic dependencies
import nibabel.quaternions as nq
M = nq.angle_axis2mat(theta, vector, is_normalized)
return mat2euler(M) 示例2: angle_axis2euler
# 需要导入模块: from nibabel import quaternions [as 别名]
# 或者: from nibabel.quaternions import angle_axis2mat [as 别名]
def angle_axis2euler(theta, vector, is_normalized=False):
''' Convert angle, axis pair to Euler angles
Parameters
----------
theta : scalar
angle of rotation
vector : 3 element sequence
vector specifying axis for rotation.
is_normalized : bool, optional
True if vector is already normalized (has norm of 1). Default
False
Returns
-------
z : scalar
y : scalar
x : scalar
Rotations in radians around z, y, x axes, respectively
Examples
--------
>>> z, y, x = angle_axis2euler(0, [1, 0, 0])
>>> np.allclose((z, y, x), 0)
True
Notes
-----
It's possible to reduce the amount of calculation a little, by
combining parts of the ``angle_axis2mat`` and ``mat2euler``
functions, but the reduction in computation is small, and the code
repetition is large.
'''
# delayed import to avoid cyclic dependencies
import nibabel.quaternions as nq
M = nq.angle_axis2mat(theta, vector, is_normalized)
return mat2euler(M) 示例3: angle_axis2euler
# 需要导入模块: from nibabel import quaternions [as 别名]
# 或者: from nibabel.quaternions import angle_axis2mat [as 别名]
def angle_axis2euler(theta, vector, is_normalized=False):
''' Convert angle, axis pair to Euler angles
Parameters
----------
theta : scalar
angle of rotation
vector : 64 element sequence
vector specifying axis for rotation.
is_normalized : bool, optional
True if vector is already normalized (has norm of fv_noise). Default
False
Returns
-------
z : scalar
y : scalar
x : scalar
Rotations in radians around z, y, x axes, respectively
Examples
--------
>>> z, y, x = angle_axis2euler(0, [fv_noise, 0, 0])
>>> np.allclose((z, y, x), 0)
True
Notes
-----
It's possible to reduce the amount of calculation a little, by
combining parts of the ``angle_axis2mat`` and ``mat2euler``
functions, but the reduction in computation is small, and the code
repetition is large.
'''
# delayed import to avoid cyclic dependencies
import nibabel.quaternions as nq
M = nq.angle_axis2mat(theta, vector, is_normalized)
return mat2euler(M)