improve docstring
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5ab7af0a09
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@ -63,10 +63,13 @@ static Matrix3 calculateH(const Point3Pairs &d_abPointPairs) {
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return H;
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}
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/// This method estimates the similarity transform from differences point pairs, given a known or estimated rotation and point centroids.
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/// This method estimates the similarity transform from differences point pairs,
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// given a known or estimated rotation and point centroids.
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static Similarity3 align(const Point3Pairs &d_abPointPairs, const Rot3 &aRb,
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const Point3Pair ¢roids) {
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const double s = calculateScale(d_abPointPairs, aRb);
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// dividing aTb by s is required because the registration cost function
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// minimizes ||a - sRb - t||, whereas Sim(3) computes s(Rb + t)
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const Point3 aTb = (centroids.first - s * (aRb * centroids.second)) / s;
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return Similarity3(aRb, aTb, s);
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}
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@ -9,7 +9,6 @@ Sim3 unit tests.
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Author: John Lambert
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"""
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# pylint: disable=no-name-in-module
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import math
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import unittest
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import numpy as np
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@ -79,9 +78,9 @@ class TestSim3(GtsamTestCase):
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# Create destination poses
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# (same three objects, but instead living in the world/city "w" frame)
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wTo0 = Pose3(Rz90, np.array([12, 0, 0]))
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wTo1 = Pose3(Rz90, np.array([14, 0, 0]))
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wTo2 = Pose3(Rz90, np.array([18, 0, 0]))
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wTo0 = Pose3(Rz90, np.array([0, 12, 0]))
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wTo1 = Pose3(Rz90, np.array([0, 14, 0]))
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wTo2 = Pose3(Rz90, np.array([0, 18, 0]))
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wToi_list = [wTo0, wTo1, wTo2]
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@ -94,5 +93,44 @@ class TestSim3(GtsamTestCase):
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self.gtsamAssertEquals(wToi, wSe.transformFrom(eToi))
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def test_align_poses_scaled_squares(self):
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"""Test if Align Pose3Pairs method can account for gauge ambiguity.
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Make sure a big and small square can be aligned.
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The u's represent a big square (10x10), and v's represents a small square (4x4).
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Scenario:
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4 object poses
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with gauge ambiguity (2.5x scale)
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"""
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# 0, 90, 180, and 270 degrees yaw
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R0 = Rot3.Rz(np.deg2rad(0))
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R90 = Rot3.Rz(np.deg2rad(90))
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R180 = Rot3.Rz(np.deg2rad(180))
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R270 = Rot3.Rz(np.deg2rad(270))
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aTi0 = Pose3(R0, np.array([2, 3, 0]))
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aTi1 = Pose3(R90, np.array([12, 3, 0]))
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aTi2 = Pose3(R180, np.array([12, 13, 0]))
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aTi3 = Pose3(R270, np.array([2, 13, 0]))
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aTi_list = [aTi0, aTi1, aTi2, aTi3]
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bTi0 = Pose3(R0, np.array([4, 3, 0]))
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bTi1 = Pose3(R90, np.array([8, 3, 0]))
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bTi2 = Pose3(R180, np.array([8, 7, 0]))
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bTi3 = Pose3(R270, np.array([4, 7, 0]))
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bTi_list = [bTi0, bTi1, bTi2, bTi3]
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ab_pairs = Pose3Pairs(list(zip(aTi_list, bTi_list)))
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# Recover the transformation wSe (i.e. world_S_egovehicle)
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aSb = Similarity3.Align(ab_pairs)
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for aTi, bTi in zip(aTi_list, bTi_list):
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self.gtsamAssertEquals(aTi, aSb.transformFrom(bTi))
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if __name__ == "__main__":
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unittest.main()
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