Moved serialization tests over to a single test scenario - factors don't appear to work at the moment
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% GTSAM Copyright 2010, Georgia Tech Research Corporation,
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% Atlanta, Georgia 30332-0415
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% All Rights Reserved
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% Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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%
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% See LICENSE for the license information
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%
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% @brief Simple robotics example using the pre-built planar SLAM domain
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% @author Alex Cunningham
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% @author Frank Dellaert
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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import gtsam.*
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%% Create keys for variables
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i1 = symbol('x',1); i2 = symbol('x',2); i3 = symbol('x',3);
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j1 = symbol('l',1); j2 = symbol('l',2);
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%% Create graph and factors
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graph = NonlinearFactorGraph;
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% Prior factor - FAIL: unregistered class
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priorMean = Pose2(0.0, 0.0, 0.0); % prior at origin
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priorNoise = noiseModel.Diagonal.Sigmas([0.3; 0.3; 0.1]);
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graph.add(PriorFactorPose2(i1, priorMean, priorNoise)); % add directly to graph
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% Between Factors - FAIL: unregistered class
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odometry = Pose2(2.0, 0.0, 0.0);
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odometryNoise = noiseModel.Diagonal.Sigmas([0.2; 0.2; 0.1]);
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graph.add(BetweenFactorPose2(i1, i2, odometry, odometryNoise));
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graph.add(BetweenFactorPose2(i2, i3, odometry, odometryNoise));
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% BearingRange Factors - FAIL: unregistered class
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degrees = pi/180;
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brNoise = noiseModel.Diagonal.Sigmas([0.1; 0.2]);
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graph.add(BearingRangeFactor2D(i1, j1, Rot2(45*degrees), sqrt(4+4), brNoise));
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graph.add(BearingRangeFactor2D(i2, j1, Rot2(90*degrees), 2, brNoise));
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graph.add(BearingRangeFactor2D(i3, j2, Rot2(90*degrees), 2, brNoise));
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%% Create Values
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values = Values;
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values.insert(i1, Pose2(0.5, 0.0, 0.2));
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values.insert(i2, Pose2(2.3, 0.1,-0.2));
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values.insert(i3, Pose2(4.1, 0.1, 0.1));
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values.insert(j1, Point2(1.8, 2.1));
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values.insert(j2, Point2(4.1, 1.8));
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%% Check that serialization works properly
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serialized_values = serializeValues(values); % returns a string
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deserializedValues = deserializeValues(serialized_values); % returns a new values
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CHECK('values.equals(deserializedValues)',values.equals(deserializedValues,1e-9));
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serialized_graph = serializeGraph(graph); % returns a string
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deserializedGraph = deserializeGraph(serialized_graph); % returns a new graph
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CHECK('graph.equals(deserializedGraph)',graph.equals(deserializedGraph,1e-9));
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@ -67,13 +67,3 @@ CHECK('pose_1.equals(Pose2,1e-4)',pose_1.equals(Pose2,1e-4));
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point_1 = result.at(symbol('l',1));
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marginals.marginalCovariance(symbol('l',1));
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CHECK('point_1.equals(Point2(2,2),1e-4)',point_1.equals(Point2(2,2),1e-4));
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%% Check that serialization works properly
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serialized_values = serializeValues(initialEstimate);
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deserializedValues = deserializeValues(serialized_values);
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CHECK('initialEstimate.equals(deserializedValues)',initialEstimate.equals(deserializedValues,1e-9));
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% FAILS: unregistered class?
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% serialized_graph = serializeGraph(graph);
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% deserializedGraph = deserializeGraph(serialized_graph);
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% CHECK('graph.equals(deserializedGraph)',graph.equals(deserializedGraph,1e-9));
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@ -60,13 +60,3 @@ P = marginals.marginalCovariance(1);
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pose_1 = result.at(1);
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CHECK('pose_1.equals(Pose2,1e-4)',pose_1.equals(Pose2,1e-4));
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%% Check that serialization works properly
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serialized_values = serializeValues(initialEstimate);
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deserializedValues = deserializeValues(serialized_values);
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CHECK('initialEstimate.equals(deserializedValues)',initialEstimate.equals(deserializedValues,1e-9));
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% FAILS: unregistered class?
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% serialized_graph = serializeGraph(graph);
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% deserializedGraph = deserializeGraph(serialized_graph);
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% CHECK('graph.equals(deserializedGraph)',graph.equals(deserializedGraph,1e-9));
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@ -30,5 +30,8 @@ testStereoVOExample
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display 'Starting: testVisualISAMExample'
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testVisualISAMExample
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display 'Starting: testGraphValuesSerialization'
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testVisualISAMExample
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% end of tests
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display 'Tests complete!'
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