Created
October 2, 2022 21:43
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| import numpy as np | |
| def slerp(p0, p1, n): | |
| # https://en.wikipedia.org/wiki/Slerp | |
| norm = np.linalg.norm(p0) * np.linalg.norm(p1) | |
| dot = np.sum(p0 * p1 / norm) | |
| theta_0 = np.arccos(dot) | |
| sin_theta_0 = np.sin(theta_0) | |
| interp = [] | |
| for t in np.linspace(0.0, 1.0, n): | |
| theta_t = theta_0 * t | |
| s0 = np.sin(theta_0 - theta_t) / sin_theta_0 | |
| s1 = np.sin(theta_t) / sin_theta_0 | |
| interp.append(p0*s0 + p1*s1) | |
| return np.stack(interp) |
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good one @cemoody ! hope you're well!