Draft for undistortion
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@ -464,6 +464,14 @@ def triangulate_all(config):
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# Get x,y,likelihood values from files
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json_tracked_files_f = [json_tracked_files[c][f] for c in range(n_cams)]
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x_files, y_files, likelihood_files = extract_files_frame_f(json_tracked_files_f, keypoints_ids)
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# # undistort points draft: start with
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# points = [np.array(tuple(zip(x_files[i],y_files[i]))).reshape(-1, 1, 2) for i in range(n_cams)]
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# # calculate optimal matrix optimal_mat cf https://stackoverflow.com/a/76635257/12196632
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# undistorted_points = [cv2.undistortPoints(points[i], K[i], distortions[i], None, optimal_mat[i]) for i in range(n_cams)]
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# # then put back into original shape of x_files, y_files
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# # Points are undistorted and better triangulated, however reprojection error is not accurate if points are not distorted again prior to reprojection
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# # This is good for slight distortion. For fishey camera, the model does not work anymore. See there for an example https://github.com/lambdaloop/aniposelib/blob/d03b485c4e178d7cff076e9fe1ac36837db49158/aniposelib/cameras.py#L301
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# Replace likelihood by 0 if under likelihood_threshold
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with np.errstate(invalid='ignore'):
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