Files
VRCT/src-python/models/overlay/overlay_utils.py

87 lines
2.7 KiB
Python

import numpy as np
def toHomogeneous(matrix):
homogeneous_matrix = np.vstack([matrix, [0, 0, 0, 1]])
return homogeneous_matrix
# 移動行列を生成する関数
def calcTranslationMatrix(translation):
tx, ty, tz = translation
return np.array([
[1, 0, 0, tx],
[0, 1, 0, ty],
[0, 0, 1, tz],
[0, 0, 0, 1]
])
# X軸周りの回転行列を生成する関数
def calcRotationMatrixX(angle):
c = np.cos(np.pi/180*angle)
s = np.sin(np.pi/180*angle)
return np.array([
[1, 0, 0, 0],
[0, c, -s, 0],
[0, s, c, 0],
[0, 0, 0, 1]
])
# Y軸周りの回転行列を生成する関数
def calcRotationMatrixY(angle):
c = np.cos(np.pi/180*angle)
s = np.sin(np.pi/180*angle)
return np.array([
[c, 0, s, 0],
[0, 1, 0, 0],
[-s, 0, c, 0],
[0, 0, 0, 1]
])
# Z軸周りの回転行列を生成する関数
def calcRotationMatrixZ(angle):
c = np.cos(np.pi/180*angle)
s = np.sin(np.pi/180*angle)
return np.array([
[c, -s, 0, 0],
[s, c, 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1]
])
# 3x4行列の座標を基準として回転や移動を行う関数
def transform_matrix(base_matrix, translation, rotation):
homogeneous_base_matrix = toHomogeneous(base_matrix)
translation_matrix = calcTranslationMatrix(translation)
rotation_matrix_x = calcRotationMatrixX(rotation[0])
rotation_matrix_y = calcRotationMatrixY(rotation[1])
rotation_matrix_z = calcRotationMatrixZ(rotation[2])
rotation_matrix = np.dot(rotation_matrix_z, np.dot(rotation_matrix_y, rotation_matrix_x))
transformation_matrix = translation_matrix.copy()
transformation_matrix[:3, :3] = rotation_matrix[:3, :3]
result_matrix = np.dot(homogeneous_base_matrix, transformation_matrix)
return result_matrix[:3, :]
def euler_to_rotation_matrix(angles):
phi = angles[0] * np.pi / 180
theta = angles[1] * np.pi / 180
psi = angles[2]* np.pi / 180
R_x = np.array([[1, 0, 0],
[0, np.cos(phi), -np.sin(phi)],
[0, np.sin(phi), np.cos(phi)]])
R_y = np.array([[np.cos(theta), 0, np.sin(theta)],
[0, 1, 0],
[-np.sin(theta), 0, np.cos(theta)]])
R_z = np.array([[np.cos(psi), -np.sin(psi), 0],
[np.sin(psi), np.cos(psi), 0],
[0, 0, 1]])
return np.dot(R_z, np.dot(R_y, R_x))
if __name__ == "__main__":
base_matrix = np.array([
[1, 0, 0, 1],
[0, 1, 0, 1],
[0, 0, 1, 1]
])
translation = [1, 2, 3]
rotation = [0, 0, 90]
result_matrix = transform_matrix(base_matrix, translation, rotation)
print(result_matrix)