Created
June 11, 2019 09:45
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PCA using opencv
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| import cv2 | |
| import numpy as np | |
| points = np.array([[0, 20], [980, 1020], [1020, 980], [20, 0]], dtype=np.float) | |
| mean, eigenvectors = cv2.PCACompute(data=points, mean=None, maxComponents=1) | |
| print(points) | |
| print(eigenvectors) | |
| theta = np.arctan((eigenvectors[0, 1])/(eigenvectors[0, 0])) | |
| print('theta: ', theta) | |
| print('theta deg: ', theta*180/np.pi) |
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