我正在尝试将一些opencv代码从python转换为c ++,但有点迷茫。 python是:
if 0 < R[1,1] < 1:
# If it gets here, the pose is flipped.
# Flip the axes. E.g., Y axis becomes [-y0, -y1, y2].
R *= np.array([
[ 1, -1, 1],
[ 1, -1, 1],
[-1, 1, -1],
])
# Fixup: rotate along the plane spanned by camera's forward (Z) axis and vector to marker's position
forward = np.array([0, 0, 1])
tnorm = T / np.linalg.norm(T)
axis = np.cross(tnorm, forward)
angle = -2*math.acos(tnorm @ forward)
R = cv2.Rodrigues(angle * axis)[0] @ R
到目前为止,我有:
cv::Mat R;
if (0 < R.at<double>(1, 1) < 1) {
// Flip the axes.E.g., Y axis becomes[-y0, -y1, y2].
float mult[9] = { 1, -1, 1, 1, -1, 1,-1, 1, -1 };
cv::Mat FlipAxes = cv::Mat(3, 3, CV_32F, mult);
R *= FlipAxes;
//# Fixup: rotate along the plane spanned by camera's forward (Z) axis and vector to marker's position
cv::Vec3d forward(0, 0, 1);
double tnorm = tvecBest / np.linalg.norm(T)
axis = np.cross(tnorm, forward)
angle = -2 * math.acos(tnorm @ forward)
R = cv2.Rodrigues(angle * axis)[0] * R
}
我在这些行上迷路了:
double tnorm = tvecBest / np.linalg.norm(T)
axis = np.cross(tnorm, forward)
angle = -2 * math.acos(tnorm @ forward)
在c ++ opencv中,np.linalg.norm
等于什么?
答案 0 :(得分:1)
np.linalg.norm(T)只是L2规范:
sqrt(T[0]*T[0]+T[1]*T[1]+T[2]*T[2])
np.cross(tnorm,forward)是叉积:
axis[0] = tnorm[1]*forward[2]-tnorm[2]*forward[1]
axis[1] = -tnorm[0]*forward[2]+tnorm[2]*forward[0]
axis[2] = tnorm[0]*forward[1]-tnorm[1]*forward[0]