No more LieVector (too much copy/paste here)
parent
2a745b6c26
commit
f1dd554a9d
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@ -22,26 +22,21 @@
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using namespace std;
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using namespace gtsam;
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// Disabled this test because it is currently failing - remove the lines "#if 0" and "#endif" below
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// to reenable the test.
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//#if 0
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/* ************************************************************************* */
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LieVector predictionError(const Pose2& org1_T_org2, const gtsam::Key& key, const TransformBtwRobotsUnaryFactor<gtsam::Pose2>& factor){
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Vector predictionError(const Pose2& org1_T_org2, const gtsam::Key& key, const TransformBtwRobotsUnaryFactor<gtsam::Pose2>& factor){
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gtsam::Values values;
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values.insert(key, org1_T_org2);
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// LieVector err = factor.whitenedError(values);
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// return err;
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return LieVector::Expmap(factor.whitenedError(values));
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return factor.whitenedError(values);
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}
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/* ************************************************************************* */
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//LieVector predictionError_standard(const Pose2& p1, const Pose2& p2, const gtsam::Key& keyA, const gtsam::Key& keyB, const BetweenFactor<gtsam::Pose2>& factor){
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//Vector predictionError_standard(const Pose2& p1, const Pose2& p2, const gtsam::Key& keyA, const gtsam::Key& keyB, const BetweenFactor<gtsam::Pose2>& factor){
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// gtsam::Values values;
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// values.insert(keyA, p1);
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// values.insert(keyB, p2);
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// // LieVector err = factor.whitenedError(values);
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// // Vector err = factor.whitenedError(values);
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// // return err;
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// return LieVector::Expmap(factor.whitenedError(values));
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// return Vector::Expmap(factor.whitenedError(values));
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//}
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/* ************************************************************************* */
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@ -236,7 +231,7 @@ TEST( TransformBtwRobotsUnaryFactor, Jacobian)
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Matrix H1_actual = H_actual[0];
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double stepsize = 1.0e-9;
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Matrix H1_expected = gtsam::numericalDerivative11<LieVector, Pose2>(boost::bind(&predictionError, _1, key, g), orgA_T_orgB, stepsize);
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Matrix H1_expected = gtsam::numericalDerivative11<Vector, Pose2>(boost::bind(&predictionError, _1, key, g), orgA_T_orgB, stepsize);
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// CHECK( assert_equal(H1_expected, H1_actual, 1e-5));
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}
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@ -290,12 +285,12 @@ TEST( TransformBtwRobotsUnaryFactor, Jacobian)
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//// CHECK( assert_equal(H2_actual_stnd, H2_actual, 1e-8));
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//
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// double stepsize = 1.0e-9;
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// Matrix H1_expected = gtsam::numericalDerivative11<LieVector, Pose2>(boost::bind(&predictionError, _1, p2, keyA, keyB, f), p1, stepsize);
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// Matrix H2_expected = gtsam::numericalDerivative11<LieVector, Pose2>(boost::bind(&predictionError, p1, _1, keyA, keyB, f), p2, stepsize);
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// Matrix H1_expected = gtsam::numericalDerivative11<Vector, Pose2>(boost::bind(&predictionError, _1, p2, keyA, keyB, f), p1, stepsize);
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// Matrix H2_expected = gtsam::numericalDerivative11<Vector, Pose2>(boost::bind(&predictionError, p1, _1, keyA, keyB, f), p2, stepsize);
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//
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//
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// // try to check numerical derivatives of a standard between factor
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// Matrix H1_expected_stnd = gtsam::numericalDerivative11<LieVector, Pose2>(boost::bind(&predictionError_standard, _1, p2, keyA, keyB, h), p1, stepsize);
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// Matrix H1_expected_stnd = gtsam::numericalDerivative11<Vector, Pose2>(boost::bind(&predictionError_standard, _1, p2, keyA, keyB, h), p1, stepsize);
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// CHECK( assert_equal(H1_expected_stnd, H1_actual_stnd, 1e-5));
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//
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//
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@ -304,8 +299,6 @@ TEST( TransformBtwRobotsUnaryFactor, Jacobian)
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//
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//}
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//#endif
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/* ************************************************************************* */
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int main() { TestResult tr; return TestRegistry::runAllTests(tr);}
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/* ************************************************************************* */
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@ -22,26 +22,21 @@
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using namespace std;
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using namespace gtsam;
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// Disabled this test because it is currently failing - remove the lines "#if 0" and "#endif" below
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// to reenable the test.
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//#if 0
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/* ************************************************************************* */
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LieVector predictionError(const Pose2& org1_T_org2, const gtsam::Key& key, const TransformBtwRobotsUnaryFactorEM<gtsam::Pose2>& factor){
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Vector predictionError(const Pose2& org1_T_org2, const gtsam::Key& key, const TransformBtwRobotsUnaryFactorEM<gtsam::Pose2>& factor){
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gtsam::Values values;
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values.insert(key, org1_T_org2);
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// LieVector err = factor.whitenedError(values);
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// return err;
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return LieVector::Expmap(factor.whitenedError(values));
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return factor.whitenedError(values);
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}
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/* ************************************************************************* */
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//LieVector predictionError_standard(const Pose2& p1, const Pose2& p2, const gtsam::Key& keyA, const gtsam::Key& keyB, const BetweenFactor<gtsam::Pose2>& factor){
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//Vector predictionError_standard(const Pose2& p1, const Pose2& p2, const gtsam::Key& keyA, const gtsam::Key& keyB, const BetweenFactor<gtsam::Pose2>& factor){
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// gtsam::Values values;
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// values.insert(keyA, p1);
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// values.insert(keyB, p2);
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// // LieVector err = factor.whitenedError(values);
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// // Vector err = factor.whitenedError(values);
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// // return err;
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// return LieVector::Expmap(factor.whitenedError(values));
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// return Vector::Expmap(factor.whitenedError(values));
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//}
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/* ************************************************************************* */
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@ -265,7 +260,7 @@ TEST( TransformBtwRobotsUnaryFactorEM, Jacobian)
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Matrix H1_actual = H_actual[0];
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double stepsize = 1.0e-9;
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Matrix H1_expected = gtsam::numericalDerivative11<LieVector, Pose2>(boost::bind(&predictionError, _1, key, g), orgA_T_orgB, stepsize);
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Matrix H1_expected = gtsam::numericalDerivative11<Vector, Pose2>(boost::bind(&predictionError, _1, key, g), orgA_T_orgB, stepsize);
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// CHECK( assert_equal(H1_expected, H1_actual, 1e-5));
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}
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/////* ************************************************************************** */
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@ -315,12 +310,12 @@ TEST( TransformBtwRobotsUnaryFactorEM, Jacobian)
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//// CHECK( assert_equal(H2_actual_stnd, H2_actual, 1e-8));
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//
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// double stepsize = 1.0e-9;
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// Matrix H1_expected = gtsam::numericalDerivative11<LieVector, Pose2>(boost::bind(&predictionError, _1, p2, keyA, keyB, f), p1, stepsize);
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// Matrix H2_expected = gtsam::numericalDerivative11<LieVector, Pose2>(boost::bind(&predictionError, p1, _1, keyA, keyB, f), p2, stepsize);
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// Matrix H1_expected = gtsam::numericalDerivative11<Vector, Pose2>(boost::bind(&predictionError, _1, p2, keyA, keyB, f), p1, stepsize);
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// Matrix H2_expected = gtsam::numericalDerivative11<Vector, Pose2>(boost::bind(&predictionError, p1, _1, keyA, keyB, f), p2, stepsize);
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//
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//
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// // try to check numerical derivatives of a standard between factor
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// Matrix H1_expected_stnd = gtsam::numericalDerivative11<LieVector, Pose2>(boost::bind(&predictionError_standard, _1, p2, keyA, keyB, h), p1, stepsize);
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// Matrix H1_expected_stnd = gtsam::numericalDerivative11<Vector, Pose2>(boost::bind(&predictionError_standard, _1, p2, keyA, keyB, h), p1, stepsize);
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// CHECK( assert_equal(H1_expected_stnd, H1_actual_stnd, 1e-5));
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//
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//
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@ -329,8 +324,6 @@ TEST( TransformBtwRobotsUnaryFactorEM, Jacobian)
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//
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//}
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//#endif
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/* ************************************************************************* */
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int main() { TestResult tr; return TestRegistry::runAllTests(tr);}
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/* ************************************************************************* */
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