Add printing for CustomFactor
parent
3c327ff568
commit
5d1fd83a2c
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@ -2185,7 +2185,10 @@ virtual class CustomFactor: gtsam::NoiseModelFactor {
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* cf = CustomFactor(noise_model, keys, error_func)
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* ```
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*/
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CustomFactor(const gtsam::SharedNoiseModel& noiseModel, const gtsam::KeyVector& keys, const gtsam::CustomErrorFunction& errorFunction);
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CustomFactor(const gtsam::SharedNoiseModel& noiseModel, const gtsam::KeyVector& keys,
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const gtsam::CustomErrorFunction& errorFunction);
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void print(string s = "", gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter);
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};
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#include <gtsam/nonlinear/Values.h>
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@ -23,7 +23,7 @@ using namespace gtsam;
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namespace gtsam {
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typedef std::vector<Matrix> JacobianVector;
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using JacobianVector = std::vector<Matrix>;
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class CustomFactor;
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@ -35,7 +35,7 @@ class CustomFactor;
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* This is safe because this is passing a const pointer, and pybind11 will maintain the `std::vector` memory layout.
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* Thus the pointer will never be invalidated.
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*/
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typedef std::function<Vector(const CustomFactor&, const Values&, const JacobianVector*)> CustomErrorFunction;
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using CustomErrorFunction = std::function<Vector(const CustomFactor&, const Values&, const JacobianVector*)>;
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/**
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* @brief Custom factor that takes a std::function as the error
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@ -73,10 +73,31 @@ public:
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~CustomFactor() override = default;
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/** Calls the errorFunction closure, which is a std::function object
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/**
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* Calls the errorFunction closure, which is a std::function object
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* One can check if a derivative is needed in the errorFunction by checking the length of Jacobian array
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*/
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Vector unwhitenedError(const Values& x, boost::optional<std::vector<Matrix>&> H = boost::none) const override;
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*/
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Vector unwhitenedError(const Values &x, boost::optional<std::vector<Matrix> &> H = boost::none) const override;
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/** print */
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void print(const std::string& s,
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const KeyFormatter& keyFormatter = DefaultKeyFormatter) const override {
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std::cout << s << "CustomFactor on ";
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auto keys_ = this->keys();
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bool f = false;
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for (const Key& k: keys_) {
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if (f)
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std::cout << ", ";
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std::cout << keyFormatter(k);
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f = true;
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}
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std::cout << "\n";
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if (this->noiseModel_)
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this->noiseModel_->print(" noise model: ");
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else
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std::cout << "no noise model" << std::endl;
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}
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private:
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@ -17,15 +17,26 @@ import numpy as np
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import gtsam
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from gtsam.utils.test_case import GtsamTestCase
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class TestCustomFactor(GtsamTestCase):
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def test_new(self):
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"""Test the creation of a new CustomFactor"""
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def error_func(this: CustomFactor, v: gtsam.Values, H: List[np.ndarray]):
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return np.array([1, 0, 0])
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noise_model = gtsam.noiseModel.Unit.Create(3)
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cf = CustomFactor(noise_model, gtsam.KeyVector([0]), error_func)
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def test_new_keylist(self):
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"""Test the creation of a new CustomFactor"""
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def error_func(this: CustomFactor, v: gtsam.Values, H: List[np.ndarray]):
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return np.array([1, 0, 0])
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noise_model = gtsam.noiseModel.Unit.Create(3)
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cf = CustomFactor(noise_model, [0], error_func)
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def test_call(self):
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"""Test if calling the factor works (only error)"""
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expected_pose = Pose2(1, 1, 0)
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@ -34,22 +45,22 @@ class TestCustomFactor(GtsamTestCase):
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key0 = this.keys()[0]
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error = -v.atPose2(key0).localCoordinates(expected_pose)
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return error
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noise_model = gtsam.noiseModel.Unit.Create(3)
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cf = CustomFactor(noise_model, [0], error_func)
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v = Values()
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v.insert(0, Pose2(1, 0, 0))
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e = cf.error(v)
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self.assertEqual(e, 0.5)
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def test_jacobian(self):
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"""Tests if the factor result matches the GTSAM Pose2 unit test"""
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gT1 = Pose2(1, 2, np.pi/2)
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gT1 = Pose2(1, 2, np.pi / 2)
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gT2 = Pose2(-1, 4, np.pi)
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expected = Pose2(2, 2, np.pi/2)
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expected = Pose2(2, 2, np.pi / 2)
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def error_func(this: CustomFactor, v: gtsam.Values, H: List[np.ndarray]):
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"""
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@ -62,19 +73,19 @@ class TestCustomFactor(GtsamTestCase):
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key1 = this.keys()[1]
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gT1, gT2 = v.atPose2(key0), v.atPose2(key1)
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error = Pose2(0, 0, 0).localCoordinates(gT1.between(gT2))
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if not H is None:
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if H is not None:
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result = gT1.between(gT2)
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H[0] = -result.inverse().AdjointMap()
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H[1] = np.eye(3)
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return error
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noise_model = gtsam.noiseModel.Unit.Create(3)
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cf = CustomFactor(noise_model, gtsam.KeyVector([0, 1]), error_func)
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v = Values()
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v.insert(0, gT1)
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v.insert(1, gT2)
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bf = gtsam.BetweenFactorPose2(0, 1, Pose2(0, 0, 0), noise_model)
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gf = cf.linearize(v)
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@ -85,13 +96,34 @@ class TestCustomFactor(GtsamTestCase):
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np.testing.assert_allclose(J_cf, J_bf)
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np.testing.assert_allclose(b_cf, b_bf)
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def test_printing(self):
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"""Tests if the factor result matches the GTSAM Pose2 unit test"""
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gT1 = Pose2(1, 2, np.pi / 2)
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gT2 = Pose2(-1, 4, np.pi)
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def error_func(this: CustomFactor, v: gtsam.Values, _: List[np.ndarray]):
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key0 = this.keys()[0]
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key1 = this.keys()[1]
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gT1, gT2 = v.atPose2(key0), v.atPose2(key1)
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error = Pose2(0, 0, 0).localCoordinates(gT1.between(gT2))
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return error
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noise_model = gtsam.noiseModel.Unit.Create(3)
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from gtsam.symbol_shorthand import X
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cf = CustomFactor(noise_model, [X(0), X(1)], error_func)
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cf_string = """CustomFactor on x0, x1
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noise model: unit (3)
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"""
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self.assertEqual(cf_string, repr(cf))
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def test_no_jacobian(self):
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"""Tests that we will not calculate the Jacobian if not requested"""
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gT1 = Pose2(1, 2, np.pi/2)
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gT1 = Pose2(1, 2, np.pi / 2)
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gT2 = Pose2(-1, 4, np.pi)
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expected = Pose2(2, 2, np.pi/2)
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expected = Pose2(2, 2, np.pi / 2)
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def error_func(this: CustomFactor, v: gtsam.Values, H: List[np.ndarray]):
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# print(f"{this = },\n{v = },\n{len(H) = }")
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@ -101,9 +133,9 @@ class TestCustomFactor(GtsamTestCase):
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gT1, gT2 = v.atPose2(key0), v.atPose2(key1)
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error = Pose2(0, 0, 0).localCoordinates(gT1.between(gT2))
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self.assertTrue(H is None) # Should be true if we only request the error
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self.assertTrue(H is None) # Should be true if we only request the error
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if not H is None:
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if H is not None:
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result = gT1.between(gT2)
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H[0] = -result.inverse().AdjointMap()
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H[1] = np.eye(3)
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@ -121,5 +153,6 @@ class TestCustomFactor(GtsamTestCase):
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e_bf = bf.error(v)
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np.testing.assert_allclose(e_cf, e_bf)
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if __name__ == "__main__":
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unittest.main()
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