importnumpyasnpfromnumpy_quaternionimportquaternion# 从欧拉角创建四元数euler_angles=np.array([0.1,0.2,0.3])q1=quaternion.from_euler('xyz',euler_angles)# 从旋转轴和角度创建四元数axis=np.array([1,0,0])angle=np.pi/4q2=quaternion.from_axis_angle(axis,angle)# 直接指定四元数的四个分量q3=quat...
d =quaternion.rotation_intrinsic_distance(R1, R2)assertd <6e3*eps, ((alpha, beta, gamma), R1, R2, d)# Can't use allclose here; we don't care about rotor signq0 =quaternion.quaternion(0,0.6,0.8,0)assertq0.norm() ==1.0assertabs(q0 -quaternion.from_euler_angles(*list(quaternion....
1.0f, 0.0f, 0.0f) * glm::gtx::quaternion::angleAxis(yawAccum, 0.0f, 1.0f, 0.0f); 现在,如果我从这个方向创建一个矩阵,它不再是列主要的,而是以某种方式成为行主要的 glm::mat4 view = glm::gtx:
使用四元数_to_Euler函数将四元数转换为EulerAngular ：
importnumpyasnpdefvectorToQuaternion(v, dtype=None):ifdtypeisNone:ifisinstance(v, np.ndarray)andnp.issubdtype(v.dtype, np.floating):ifnp.issubdtype(getattr(v,'dtype', np.int), np.floating): dtype = v.dtypeelse: dtype = np.float64 ...
to_euler_phases,from_euler_phases(see above) to_spherical_coordinates,from_spherical_coordinates to_angular_velocity,from_angular_velocity to_minimal_rotation Note that the last two items relate to quaternion-valued functions of time. Converting to an angular velocity requires differentiation, while con...
def test_euler(self): """Test axis-angle and euler representation conversions.""" q1 = Quaternion([0,0,0,0], np.float64) #q1.from_euler(0, 0, 0) #print(q1) #self.assertEqual(q1, Quaternion([1,0,0,0])) for i in range(100): (phi, theta, psi) = self.rand_euler() q1...
示例1: zoomToAll ▲点赞 10▼ defzoomToAll(self):ifself.m_nImgs <1:returnposA=N.array(self.m_imgPosArr) sizA=N.array(self.m_imgSizeArr) a=N.array([N.minimum.reduce(posA), N.maximum.reduce(posA+sizA), ])from.allimportU
正如@z0r在评论中所解释的，由于四元数通过乘法来转换旋转，它们之间的“差异”是乘法逆-基本上是四元...
或者，将所需的模块复制到项目中）。要使用pip安装GitHub存储库，您可以按照here的说明进行操作。