numpy-quaternion库提供了球面线性插值(SLERP)的功能,可以用来平滑地在两个四元数之间过渡: # 两个四元数q1=quaternion(0,0,1,0)# 表示绕x轴旋转90度q2=quaternion(1,0,0,0)# 单位四元数,表示无旋转# 插值t=0.5# 插值参数,范围从0到1intermediate_q=quaternion.slerp(q1,q2,t) 转换矩阵 四元数可以转...
numpy_quaternion 2个四元数之间的角度 numpy_quaternion是一个计算两个四元数之间角度的库函数,具体实现过程如下: 1. 首先,导入 numpy 库。 2. 定义 quaternion_to_rotation_matrix 函数,将四元数转换为旋转矩阵,用于计算旋转轴和角度。 3. 定义 quaternion_to_axis_angle 函数,将四元数转换为旋转轴和角度。
python -m pip install --upgrade --force-reinstall numpy-quaternion (Seeherefor a veteran python core contributor's explanation of why you should always usepython -m pipinstead of justpiporpip3.) The--upgrade --force-reinstalloptions are not always necessary, but will ensure that pip will up...
quaternion. Quaternions may not be cast to real or complex types. Written at the SciPy 2011 sprints, with help from Mark Weibe. The basic structure of this package is copied from Mark's half-precision floating point package:https://github.com/m-paradox/numpy_half- without this and Mark's...
quaternion.as_quat_array(a) numpy.arrayをquaternionに変換.aの最後の次元のサイズは4でないといけない quaternion.as_float_array(a) numpy.quaternionをnumpy.arrayに変換.出力の次元は入力より1大きい. quaternion.from_float_array(a) as_quat_arrayと同じ quaternion.as_rotation_matrix(q) numpy.quat...
I'm trying to install numpy-quaternion: pip install numpy-quaternion ... Successfully installed numpy-quaternion-2020.11.2.17.0.49 but then it fails when I try to import it: I have checked the folder with __init__.py and there is no nump...
>>> import numpy as np >>> import quaternion >>> a = np.array([quaternion.one, quaternion.x, quaternion.y, quaternion.z]) >>> np.conjugate(a) # This gives the correct output array([quaternion(1, -0, -0, -0), quaternion(0, -1, -0, -0), quaternion(0, -0, -1, -0),...
quaternion(core written in C; very fast; adds quaterniondtypeto numpy; namednumpy-quaternionon pypi due to name conflict) clifford(very powerful; more general geometric algebras) rowan(many features; similar approach to this package; no acceleration or overloading) ...
python -m pip install --upgrade --force-reinstall numpy-quaternion(See here for a veteran python core contributor's explanation of why you should always use python -m pip instead of just pip or pip3.) The --upgrade --force-reinstall options are not always necessary, but will ensure that...