Moved utility functions that are example-specific to a 'support' namespace inside the examples folder
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				|  | @ -16,10 +16,8 @@ install(FILES ${matlab_tests} DESTINATION ${GTSAM_TOOLBOX_INSTALL_PATH}/gtsam_te | |||
| # Examples | ||||
| message(STATUS "Installing Matlab Toolbox Examples") | ||||
| # Matlab files: *.m and *.fig | ||||
| file(GLOB matlab_examples_m "${GTSAM_SOURCE_ROOT_DIR}/matlab/examples/*.m") | ||||
| file(GLOB matlab_examples_fig "${GTSAM_SOURCE_ROOT_DIR}/matlab/examples/*.fig") | ||||
| set(matlab_examples ${matlab_examples_m} ${matlab_examples_fig}) | ||||
| install(FILES ${matlab_examples} DESTINATION ${GTSAM_TOOLBOX_INSTALL_PATH}/gtsam_examples) | ||||
| install(DIRECTORY "${GTSAM_SOURCE_ROOT_DIR}/matlab/examples/" DESTINATION "${GTSAM_TOOLBOX_INSTALL_PATH}/gtsam_examples" FILES_MATCHING PATTERN "*.m") | ||||
| install(DIRECTORY "${GTSAM_SOURCE_ROOT_DIR}/matlab/examples/" DESTINATION "${GTSAM_TOOLBOX_INSTALL_PATH}/gtsam_examples" FILES_MATCHING PATTERN "*.fig") | ||||
| 
 | ||||
| message(STATUS "Installing Matlab Toolbox Examples (Data)") | ||||
| # Data files: *.graph and *.txt | ||||
|  |  | |||
										
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							|  | @ -8,7 +8,8 @@ isam = visualSLAM.ISAM(options.reorderInterval); | |||
| %% Set Noise parameters | ||||
| import gtsam.* | ||||
| noiseModels.pose = noiseModel.Diagonal.Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]'); | ||||
| noiseModels.odometry = noiseModel.Diagonal.Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]'); | ||||
| %noiseModels.odometry = noiseModel.Diagonal.Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]'); | ||||
| noiseModels.odometry = noiseModel.Diagonal.Sigmas([0.1 0.1 0.1 1.0 1.0 1.0]'); | ||||
| noiseModels.point = noiseModel.Isotropic.Sigma(3, 0.1); | ||||
| noiseModels.measurement = noiseModel.Isotropic.Sigma(2, 1.0); | ||||
| 
 | ||||
|  | @ -3,8 +3,8 @@ function datafile = findExampleDataFile(datasetName) | |||
| 
 | ||||
| [ myPath, ~, ~ ] = fileparts(mfilename('fullpath')); | ||||
| searchPath = { ... | ||||
|     fullfile(myPath, [ '../../examples/Data/' datasetName ]) ... | ||||
|     fullfile(myPath, [ 'Data/' datasetName ]) }; | ||||
|     fullfile(myPath, [ '../../../examples/Data/' datasetName ]) ... | ||||
|     fullfile(myPath, [ '../Data/' datasetName ]) }; | ||||
| datafile = []; | ||||
| for path = searchPath | ||||
|     if exist(path{:}, 'file') | ||||
|  | @ -11,7 +11,7 @@ | |||
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | ||||
| 
 | ||||
| %% Find data file | ||||
| datafile = findExampleDataFile('w100-odom.graph'); | ||||
| datafile = support.findExampleDataFile('w100-odom.graph'); | ||||
| 
 | ||||
| %% Initialize graph, initial estimate, and odometry noise | ||||
| import gtsam.* | ||||
|  |  | |||
|  | @ -16,7 +16,7 @@ N = 2500; | |||
| % dataset = 'sphere2500_groundtruth.txt'; | ||||
| dataset = 'sphere2500.txt'; | ||||
| 
 | ||||
| datafile = findExampleDataFile(dataset); | ||||
| datafile = support.findExampleDataFile(dataset); | ||||
| 
 | ||||
| %% Initialize graph, initial estimate, and odometry noise | ||||
| import gtsam.* | ||||
|  |  | |||
|  | @ -22,7 +22,7 @@ options.nrCameras = 10; | |||
| options.showImages = false; | ||||
| 
 | ||||
| %% Generate data | ||||
| [data,truth] = VisualISAMGenerateData(options); | ||||
| [data,truth] = support.VisualISAMGenerateData(options); | ||||
| 
 | ||||
| measurementNoiseSigma = 1.0; | ||||
| pointNoiseSigma = 0.1; | ||||
|  |  | |||
|  | @ -32,17 +32,17 @@ options.saveFigures = false; | |||
| options.saveDotFiles = false; | ||||
| 
 | ||||
| %% Generate data | ||||
| [data,truth] = VisualISAMGenerateData(options); | ||||
| [data,truth] = support.VisualISAMGenerateData(options); | ||||
| 
 | ||||
| %% Initialize iSAM with the first pose and points | ||||
| [noiseModels,isam,result] = VisualISAMInitialize(data,truth,options); | ||||
| [noiseModels,isam,result] = support.VisualISAMInitialize(data,truth,options); | ||||
| cla; | ||||
| VisualISAMPlot(truth, data, isam, result, options) | ||||
| support.VisualISAMPlot(truth, data, isam, result, options) | ||||
| 
 | ||||
| %% Main loop for iSAM: stepping through all poses | ||||
| for frame_i=3:options.nrCameras | ||||
|     [isam,result] = VisualISAMStep(data,noiseModels,isam,result,truth,options); | ||||
|     [isam,result] = support.VisualISAMStep(data,noiseModels,isam,result,truth,options); | ||||
|     if mod(frame_i,options.drawInterval)==0 | ||||
|         VisualISAMPlot(truth, data, isam, result, options) | ||||
|         support.VisualISAMPlot(truth, data, isam, result, options) | ||||
|     end | ||||
| end | ||||
|  |  | |||
										
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							|  | @ -230,12 +230,12 @@ global frame_i truth data noiseModels isam result options | |||
| initOptions(handles) | ||||
| 
 | ||||
| % Generate Data | ||||
| [data,truth] = VisualISAMGenerateData(options); | ||||
| [data,truth] = support.VisualISAMGenerateData(options); | ||||
| 
 | ||||
| % Initialize and plot | ||||
| [noiseModels,isam,result] = VisualISAMInitialize(data,truth,options); | ||||
| [noiseModels,isam,result] = support.VisualISAMInitialize(data,truth,options); | ||||
| cla | ||||
| VisualISAMPlot(truth, data, isam, result, options) | ||||
| support.VisualISAMPlot(truth, data, isam, result, options) | ||||
| frame_i = 2; | ||||
| showFramei(hObject, handles) | ||||
| 
 | ||||
|  | @ -246,10 +246,10 @@ global frame_i truth data noiseModels isam result options | |||
| while (frame_i<size(truth.cameras,2)) | ||||
|     frame_i = frame_i+1; | ||||
|     showFramei(hObject, handles) | ||||
|     [isam,result] = VisualISAMStep(data,noiseModels,isam,result,truth,options); | ||||
|     [isam,result] = support.VisualISAMStep(data,noiseModels,isam,result,truth,options); | ||||
|     if mod(frame_i,options.drawInterval)==0 | ||||
|         showWaiting(handles, 'Computing marginals...'); | ||||
|         VisualISAMPlot(truth, data, isam, result, options) | ||||
|         support.VisualISAMPlot(truth, data, isam, result, options) | ||||
|         showWaiting(handles, ''); | ||||
|     end | ||||
| end | ||||
|  | @ -261,8 +261,8 @@ global frame_i truth data noiseModels isam result options | |||
| if (frame_i<size(truth.cameras,2)) | ||||
|     frame_i = frame_i+1; | ||||
|     showFramei(hObject, handles) | ||||
|     [isam,result] = VisualISAMStep(data,noiseModels,isam,result,truth,options); | ||||
|     [isam,result] = support.VisualISAMStep(data,noiseModels,isam,result,truth,options); | ||||
|     showWaiting(handles, 'Computing marginals...'); | ||||
|     VisualISAMPlot(truth, data, isam, result, options) | ||||
|     support.VisualISAMPlot(truth, data, isam, result, options) | ||||
|     showWaiting(handles, ''); | ||||
| end | ||||
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