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opencv python 3d->2d omni projection
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import cv2 | |
import numpy as np | |
import matplotlib.pyplot as plt | |
K = np.array([ | |
[1377.4254511359, 0, 1054.3015274037], | |
[0, 1373.0788259424, 760.6952319349], | |
[0, 0, 1], | |
]).astype(np.float32) | |
D = np.array([-0.5522170592, 0.2365604514, 0.0021662078, -0.0028341398]).astype(np.float32) | |
xi = 0.8299270097 | |
rvec = np.array([0, 0, 0]).astype(np.float32) | |
tvec = np.array([0, 0, 0]).astype(np.float32) | |
xx, yy = np.meshgrid(np.arange(-3, 3, 0.1), np.arange(-3, 3, 0.1)) | |
points_3d = np.row_stack([xx.reshape(-1), yy.reshape(-1), np.ones(xx.shape[0] * xx.shape[1])]).T | |
points_2d, jac = cv2.omnidir.projectPoints(np.expand_dims(points_3d, -2).astype(np.float32), rvec, tvec, K, xi, D) | |
points_2d = np.squeeze(points_2d) | |
plt.scatter(points_2d[:, 0], points_2d[:, 1]) | |
plt.show() |
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