added test for full ISAM2 update method
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@ -6,15 +6,18 @@ All Rights Reserved
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See LICENSE for the license information
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See LICENSE for the license information
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visual_isam unit tests.
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visual_isam unit tests.
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Author: Frank Dellaert & Duy Nguyen Ta (Python)
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Author: Frank Dellaert & Duy Nguyen Ta & Varun Agrawal (Python)
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"""
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"""
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# pylint: disable=maybe-no-member,invalid-name
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import unittest
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import unittest
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import gtsam.utils.visual_data_generator as generator
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import gtsam.utils.visual_data_generator as generator
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import gtsam.utils.visual_isam as visual_isam
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import gtsam.utils.visual_isam as visual_isam
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from gtsam import symbol
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from gtsam.utils.test_case import GtsamTestCase
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from gtsam.utils.test_case import GtsamTestCase
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from gtsam import symbol
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class TestVisualISAMExample(GtsamTestCase):
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class TestVisualISAMExample(GtsamTestCase):
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"""Test class for ISAM2 with visual landmarks."""
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"""Test class for ISAM2 with visual landmarks."""
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@ -53,6 +56,51 @@ class TestVisualISAMExample(GtsamTestCase):
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point_j = result.atPoint3(symbol('l', j))
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point_j = result.atPoint3(symbol('l', j))
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self.gtsamAssertEquals(point_j, truth.points[j], 1e-5)
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self.gtsamAssertEquals(point_j, truth.points[j], 1e-5)
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def test_isam2_update(self):
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"""
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Test for full version of ISAM2::update method
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"""
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# Data Options
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options = generator.Options()
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options.triangle = False
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options.nrCameras = 20
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# iSAM Options
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isamOptions = visual_isam.Options()
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isamOptions.hardConstraint = False
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isamOptions.pointPriors = False
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isamOptions.batchInitialization = True
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isamOptions.reorderInterval = 10
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isamOptions.alwaysRelinearize = False
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# Generate data
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data, truth = generator.generate_data(options)
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# Initialize iSAM with the first pose and points
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isam, result, nextPose = visual_isam.initialize(data, truth, isamOptions)
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remove_factor_indices = gtsam.FactorIndices()
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constrained_keys = gtsam.KeyGroupMap()
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no_relin_keys = gtsam.KeyList()
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extra_reelim_keys = gtsam.KeyList()
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isamArgs = (remove_factor_indices,
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constrained_keys,
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no_relin_keys,
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extra_reelim_keys,
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False)
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# Main loop for iSAM: stepping through all poses
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for currentPose in range(nextPose, options.nrCameras):
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isam, result = visual_isam.step(data, isam, result, truth, currentPose, isamArgs)
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for i in range(len(truth.cameras)):
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pose_i = result.atPose3(symbol(ord('x'), i))
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self.gtsamAssertEquals(pose_i, truth.cameras[i].pose(), 1e-5)
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for j in range(len(truth.points)):
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point_j = result.atPoint3(symbol(ord('l'), j))
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self.gtsamAssertEquals(point_j, truth.points[j], 1e-5)
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if __name__ == "__main__":
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if __name__ == "__main__":
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unittest.main()
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unittest.main()
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@ -79,7 +79,7 @@ def initialize(data, truth, options):
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return isam, result, nextPoseIndex
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return isam, result, nextPoseIndex
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def step(data, isam, result, truth, currPoseIndex):
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def step(data, isam, result, truth, currPoseIndex, isamArgs=()):
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'''
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'''
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Do one step isam update
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Do one step isam update
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@param[in] data: measurement data (odometry and visual measurements and their noiseModels)
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@param[in] data: measurement data (odometry and visual measurements and their noiseModels)
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@ -123,7 +123,7 @@ def step(data, isam, result, truth, currPoseIndex):
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# Update ISAM
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# Update ISAM
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# figure(1)tic
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# figure(1)tic
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isam.update(newFactors, initialEstimates)
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isam.update(newFactors, initialEstimates, *isamArgs)
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# t=toc plot(frame_i,t,'r.') tic
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# t=toc plot(frame_i,t,'r.') tic
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newResult = isam.calculateEstimate()
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newResult = isam.calculateEstimate()
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# t=toc plot(frame_i,t,'g.')
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# t=toc plot(frame_i,t,'g.')
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