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* Add 3d support ICP * icp_matching function returns R,T corresponding to 2D or 3D set of points * update_homogeneuous_matrix - general operations for translation and rotation matrixes * Add test for 3d point cloud (with 2d visualization) * Separate test for 3d points to main_3d_points * Add test for ICP 3d * Correct style * Add space * Style correction * Add more spaces * Add 3d visualizing for ICP * Style corrections * Delete spaces * Style correction * remove space * Separate plot drawing * plot drawing in a separate function for both 2D and 3D versions * figure creating before while loop * Style correction * Comment 3d plot drawing Co-authored-by: Shamil GEMUEV <https://github.maf-roda.com/>
17 lines
278 B
Python
17 lines
278 B
Python
import conftest
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from SLAM.iterative_closest_point import iterative_closest_point as m
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def test_1():
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m.show_animation = False
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m.main()
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def test_2():
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m.show_animation = False
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m.main_3d_points()
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if __name__ == '__main__':
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conftest.run_this_test(__file__)
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