gtsam/cython/gtsam/tests/test_PriorFactor.py

62 lines
1.7 KiB
Python

"""
GTSAM Copyright 2010-2019, Georgia Tech Research Corporation,
Atlanta, Georgia 30332-0415
All Rights Reserved
See LICENSE for the license information
PriorFactor unit tests.
Author: Frank Dellaert & Duy Nguyen Ta (Python)
"""
import unittest
import numpy as np
import gtsam
from gtsam.utils.test_case import GtsamTestCase
class TestPriorFactor(GtsamTestCase):
def test_PriorFactor(self):
values = gtsam.Values()
key = 5
priorPose3 = gtsam.Pose3()
model = gtsam.noiseModel_Unit.Create(6)
factor = gtsam.PriorFactorPose3(key, priorPose3, model)
values.insert(key, priorPose3)
self.assertEqual(factor.error(values), 0)
key = 3
priorVector = np.array([0., 0., 0.])
model = gtsam.noiseModel_Unit.Create(3)
factor = gtsam.PriorFactorVector(key, priorVector, model)
values.insert(key, priorVector)
self.assertEqual(factor.error(values), 0)
def test_AddPrior(self):
"""
Test adding prior factors directly to factor graph via the .addPrior method.
"""
# define factor graph
graph = gtsam.NonlinearFactorGraph()
# define and add Pose3 prior
key = 5
priorPose3 = gtsam.Pose3()
model = gtsam.noiseModel_Unit.Create(6)
graph.addPriorPose3(key, priorPose3, model)
self.assertEqual(graph.size(), 1)
# define and add Vector prior
key = 3
priorVector = np.array([0., 0., 0.])
model = gtsam.noiseModel_Unit.Create(3)
graph.addPriorVector(key, priorVector, model)
self.assertEqual(graph.size(), 2)
if __name__ == "__main__":
unittest.main()