GenerateData is now a function, no globals
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17a2793a38
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7eb449c205
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@ -3,11 +3,10 @@
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% Make sure global variables are visible on command prompt
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% so you can examine how they change as you step through
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global TRIANGLE NCAMERAS SHOW_IMAGES
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global HARD_CONSTRAINT POINT_PRIORS BATCH_INIT REORDER_INTERVAL ALWAYS_RELINEARIZE
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global SAVE_GRAPH PRINT_STATS DRAW_INTERVAL CAMERA_INTERVAL DRAW_TRUE_POSES
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global SAVE_FIGURES SAVE_GRAPHS SHOW_TIMING
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global points K cameras odometry
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global data
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global poseNoise pointNoise odometryNoise measurementNoise
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global frame_i isam newFactors initialEstimates result
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@ -11,16 +11,11 @@
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%% Global variables used in VisualISAMExample
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global TRIANGLE NCAMERAS SHOW_IMAGES
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global data
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global HARD_CONSTRAINT POINT_PRIORS BATCH_INIT REORDER_INTERVAL ALWAYS_RELINEARIZE
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global SAVE_GRAPH PRINT_STATS DRAW_INTERVAL CAMERA_INTERVAL DRAW_TRUE_POSES
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global SAVE_FIGURES SAVE_GRAPHS
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%% Setting data options
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TRIANGLE = false;
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NCAMERAS = 20;
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SHOW_IMAGES = false;
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%% iSAM Options
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HARD_CONSTRAINT = false;
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POINT_PRIORS = false;
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@ -37,14 +32,19 @@ DRAW_TRUE_POSES = false;
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SAVE_FIGURES = false;
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SAVE_GRAPHS = false;
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%% Generate data and initialize iSAM with the first pose and points
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VisualISAMGenerateData
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%% Generate data
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options.triangle = false;
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options.nrCameras = 20;
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showImages = false;
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data = VisualISAMGenerateData(options,showImages);
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%% Initialize iSAM with the first pose and points
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VisualISAMInitialize
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figure;
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VisualISAMPlot
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%% Main loop for iSAM: stepping through all poses
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for frame_i=2:NCAMERAS
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for frame_i=2:options.nrCameras
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VisualISAMStep
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if mod(frame_i,DRAW_INTERVAL)==0
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VisualISAMPlot
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@ -11,16 +11,11 @@
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%% Global variables used in VisualISAMExample
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global TRIANGLE NCAMERAS SHOW_IMAGES
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global data
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global HARD_CONSTRAINT POINT_PRIORS BATCH_INIT REORDER_INTERVAL ALWAYS_RELINEARIZE
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global SAVE_GRAPH PRINT_STATS DRAW_INTERVAL CAMERA_INTERVAL DRAW_TRUE_POSES
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global SAVE_FIGURES SAVE_GRAPHS
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%% Setting data options
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TRIANGLE = true;
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NCAMERAS = 10;
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SHOW_IMAGES = false;
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%% iSAM Options
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HARD_CONSTRAINT = false;
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POINT_PRIORS = false;
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@ -37,14 +32,19 @@ DRAW_TRUE_POSES = false;
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SAVE_FIGURES = false;
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SAVE_GRAPHS = false;
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%% Generate data and initialize iSAM with the first pose and points
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VisualISAMGenerateData
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%% Generate data
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options.triangle = true;
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options.nrCameras = 10;
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showImages = false;
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data = VisualISAMGenerateData(options,showImages);
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%% Initialize iSAM with the first pose and points
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VisualISAMInitialize
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figure;
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VisualISAMPlot
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%% Main loop for iSAM: stepping through all poses
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for frame_i=2:NCAMERAS
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for frame_i=2:options.nrCameras
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VisualISAMStep
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if mod(frame_i,DRAW_INTERVAL)==0
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VisualISAMPlot
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@ -1,25 +1,20 @@
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function data = VisualISAMGenerateData(options, showImages)
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% VisualISAMGenerateData: create data for viusalSLAM::iSAM examples
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% Authors: Duy Nguyen Ta and Frank Dellaert
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% options
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global TRIANGLE NCAMERAS SHOW_IMAGES
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% global outputs
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global points cameras K odometry
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global poseNoise odometryNoise pointNoise measurementNoise % data ?
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if nargin<2, showImages=false; end
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%% Generate simulated data
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points = {};
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if TRIANGLE % Create a triangle target, just 3 points on a plane
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data.points = {};
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if options.triangle % Create a triangle target, just 3 points on a plane
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nPoints = 3;
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r = 10;
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for j=1:nPoints
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theta = (j-1)*2*pi/nPoints;
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points{j} = gtsamPoint3([r*cos(theta), r*sin(theta), 0]');
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data.points{j} = gtsamPoint3([r*cos(theta), r*sin(theta), 0]');
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end
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else % 3D landmarks as vertices of a cube
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nPoints = 8;
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points = {gtsamPoint3([10 10 10]'),...
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data.points = {gtsamPoint3([10 10 10]'),...
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gtsamPoint3([-10 10 10]'),...
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gtsamPoint3([-10 -10 10]'),...
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gtsamPoint3([10 -10 10]'),...
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@ -31,29 +26,28 @@ end
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%% Create camera cameras on a circle around the triangle
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height = 10; r = 40;
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K = gtsamCal3_S2(500,500,0,640/2,480/2);
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cameras = {};
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gui = gcf;
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for i=1:NCAMERAS
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theta = (i-1)*2*pi/NCAMERAS;
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data.K = gtsamCal3_S2(500,500,0,640/2,480/2);
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data.cameras = {};
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for i=1:options.nrCameras
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theta = (i-1)*2*pi/options.nrCameras;
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t = gtsamPoint3([r*cos(theta), r*sin(theta), height]');
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cameras{i} = gtsamSimpleCamera_lookat(t, gtsamPoint3, gtsamPoint3([0,0,1]'), K);
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if SHOW_IMAGES % show images
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data.cameras{i} = gtsamSimpleCamera_lookat(t, gtsamPoint3, gtsamPoint3([0,0,1]'), data.K);
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end
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%% show images if asked
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if showImages
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gui = gcf;
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for i=1:options.nrCameras
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figure(2+i);clf;hold on
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set(2+i,'NumberTitle','off','Name',sprintf('Camera %d',i));
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for j=1:nPoints
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zij = cameras{i}.project(points{j});
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zij = data.cameras{i}.project(data.points{j});
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plot(zij.x,zij.y,'*');
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axis([1 640 1 480]);
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end
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end
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figure(gui);
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end
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figure(gui);
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odometry = cameras{1}.pose.between(cameras{2}.pose);
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%% Set Noise parameters
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poseNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]');
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odometryNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]');
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pointNoise = gtsamSharedNoiseModel_Sigma(3, 0.1);
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measurementNoise = gtsamSharedNoiseModel_Sigma(2, 1.0);
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%% Calculate odometry between cameras
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data.odometry = data.cameras{1}.pose.between(data.cameras{2}.pose);
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@ -3,36 +3,46 @@ function VisualISAMStep
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% Authors: Duy Nguyen Ta and Frank Dellaert
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% global variables, input
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global cameras points pointNoise poseNoise measurementNoise K
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global data pointNoise poseNoise measurementNoise
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% global variables, output
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global isam newFactors initialEstimates frame_i result
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global poseNoise odometryNoise pointNoise measurementNoise
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% options
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global REORDER_INTERVAL HARD_CONSTRAINT POINT_PRIORS
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%% Initialize iSAM
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isam = visualSLAMISAM(REORDER_INTERVAL);
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%% Set Noise parameters
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poseNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]');
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odometryNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]');
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pointNoise = gtsamSharedNoiseModel_Sigma(3, 0.1);
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measurementNoise = gtsamSharedNoiseModel_Sigma(2, 1.0);
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%% Add constraints/priors
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newFactors = visualSLAMGraph;
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initialEstimates = visualSLAMValues;
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i1 = symbol('x',1);
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camera1 = cameras{1};
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camera1 = data.cameras{1};
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pose1 = camera1.pose;
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if HARD_CONSTRAINT % add hard constraint
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newFactors.addPoseConstraint(i1,pose1);
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else
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newFactors.addPosePrior(i1,pose1, poseNoise);
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end
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initialEstimates.insertPose(i1,pose1);
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% Add visual measurement factors from first pose
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for j=1:size(points,2)
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initialEstimates.insertPose(i1,pose1); % TODO: should not be from ground truth!
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%% Add visual measurement factors from first pose
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for j=1:size(data.points,2)
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jj = symbol('l',j);
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if POINT_PRIORS % add point priors
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newFactors.addPointPrior(jj, points{j}, pointNoise);
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newFactors.addPointPrior(jj, data.points{j}, pointNoise);
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end
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zij = camera1.project(points{j});
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newFactors.addMeasurement(zij, measurementNoise, i1, jj, K);
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initialEstimates.insertPoint(jj, points{j});
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zij = camera1.project(data.points{j});
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newFactors.addMeasurement(zij, measurementNoise, i1, jj, data.K);
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initialEstimates.insertPoint(jj, data.points{j}); % TODO: should not be from ground truth!
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end
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frame_i = 1;
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@ -2,17 +2,16 @@
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% Authors: Duy Nguyen Ta and Frank Dellaert
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% global variables, input
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global points cameras frame_i isam result
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global data frame_i isam result
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% options
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global CAMERA_INTERVAL DRAW_TRUE_POSES SAVE_FIGURES SAVE_GRAPHS
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%% Plot results
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tic
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h=gca;
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cla(h);
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hold on;
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for j=1:size(points,2)
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for j=1:size(data.points,2)
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point_j = result.point(symbol('l',j));
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plot3(point_j.x, point_j.y, point_j.z,'marker','o');
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if (frame_i>1)
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@ -29,15 +28,13 @@ for ii=1:CAMERA_INTERVAL:frame_i
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end
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plotPose3(pose_ii,P,10);
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if DRAW_TRUE_POSES % show ground truth
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plotPose3(cameras{ii}.pose,0.001*eye(6),10);
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plotPose3(data.cameras{ii}.pose,0.001*eye(6),10);
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end
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end
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axis([-40 40 -40 40 -10 20]);axis equal
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view(3)
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colormap('hot')
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t=toc;
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% if DRAW_INTERVAL~=NCAMERAS, plot(frame_i,t,'b.'); end
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if SAVE_FIGURES
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fig2 = figure('visible','off');
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newax = copyobj(h,fig2);
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@ -3,8 +3,8 @@ function VisualISAMStep
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% Authors: Duy Nguyen Ta and Frank Dellaert
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% global variables, input
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global frame_i odometry odometryNoise newFactors initialEstimates
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global points cameras measurementNoise K
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global frame_i odometryNoise measurementNoise newFactors initialEstimates
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global data
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% global variables, input/output
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global isam
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@ -25,18 +25,18 @@ if frame_i > 2
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end
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%% Add odometry
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newFactors.addOdometry(symbol('x',frame_i-1), symbol('x',frame_i), odometry, odometryNoise);
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newFactors.addOdometry(symbol('x',frame_i-1), symbol('x',frame_i), data.odometry, odometryNoise);
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%% Add visual measurement factors
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for j=1:size(points,2)
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zij = cameras{frame_i}.project(points{j});
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newFactors.addMeasurement(zij, measurementNoise, symbol('x',frame_i), symbol('l',j), K);
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for j=1:size(data.points,2)
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zij = data.cameras{frame_i}.project(data.points{j});
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newFactors.addMeasurement(zij, measurementNoise, symbol('x',frame_i), symbol('l',j), data.K);
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end
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%% Initial estimates for the new pose. Also initialize points while in the first frame.
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if (frame_i==2), prevPose = cameras{1}.pose;
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%% Initial estimates for the new pose. Also initialize data.points while in the first frame.
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if (frame_i==2), prevPose = data.cameras{1}.pose;
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else, prevPose = result.pose(symbol('x',frame_i-1)); end
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initialEstimates.insertPose(symbol('x',frame_i), prevPose.compose(odometry));
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initialEstimates.insertPose(symbol('x',frame_i), prevPose.compose(data.odometry));
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%% Update ISAM
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if BATCH_INIT & (frame_i==2) % Do a full optimize for first two poses
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@ -71,21 +71,15 @@ end
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function initOptions(handles)
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global TRIANGLE NCAMERAS SHOW_IMAGES
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global HARD_CONSTRAINT POINT_PRIORS BATCH_INIT REORDER_INTERVAL ALWAYS_RELINEARIZE
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global SAVE_GRAPH PRINT_STATS DRAW_INTERVAL CAMERA_INTERVAL DRAW_TRUE_POSES
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global SAVE_FIGURES SAVE_GRAPHS
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% Setting data options
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TRIANGLE = chooseDataset(handles);
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NCAMERAS = str2num(get(handles.numCamEdit,'String'));
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SHOW_IMAGES = get(handles.showImagesCB,'Value');
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global SAVE_FIGURES SAVE_GRAPHS SHOW_TIMING
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% iSAM Options
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HARD_CONSTRAINT = get(handles.hardConstraintCB,'Value');
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POINT_PRIORS = get(handles.pointPriorsCB,'Value');
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BATCH_INIT = get(handles.batchInitCB,'Value');
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REORDER_INTERVAL = str2num(get(handles.numCamEdit,'String'));
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REORDER_INTERVAL = str2num(get(handles.reorderIntervalEdit,'String'));
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ALWAYS_RELINEARIZE = get(handles.alwaysRelinearizeCB,'Value');
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% Display Options
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@ -96,7 +90,7 @@ CAMERA_INTERVAL = str2num(get(handles.cameraIntervalEdit,'String'));
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DRAW_TRUE_POSES = get(handles.drawTruePosesCB,'Value');
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SAVE_FIGURES = get(handles.saveFiguresCB,'Value');
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SAVE_GRAPHS = get(handles.saveGraphsCB,'Value');
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SHOW_TIMING = false;
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%----------------------------------------------------------
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% Callback functions for GUI elements
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@ -227,8 +221,19 @@ function saveGraphsCB_Callback(hObject, ~, handles)
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% --- Executes on button press in intializeButton.
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function intializeButton_Callback(hObject, ~, handles)
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global data
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% initialize global options
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initOptions(handles)
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VisualISAMGenerateData
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% Generate Data
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options.triangle = chooseDataset(handles);
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options.nrCameras = str2num(get(handles.numCamEdit,'String'));
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showImages = get(handles.showImagesCB,'Value');
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data = VisualISAMGenerateData(options, showImages);
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% Initialize and plot
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VisualISAMInitialize
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VisualISAMPlot
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showFramei(hObject, handles)
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@ -236,8 +241,8 @@ showFramei(hObject, handles)
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% --- Executes on button press in runButton.
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function runButton_Callback(hObject, ~, handles)
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global frame_i NCAMERAS DRAW_INTERVAL
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while (frame_i<NCAMERAS)
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global frame_i data DRAW_INTERVAL
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while (frame_i<size(data.cameras,2))
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frame_i = frame_i+1;
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showFramei(hObject, handles)
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VisualISAMStep
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@ -251,8 +256,8 @@ end
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% --- Executes on button press in stepButton.
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function stepButton_Callback(hObject, ~, handles)
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global frame_i NCAMERAS DRAW_INTERVAL
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if (frame_i<NCAMERAS)
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global frame_i data DRAW_INTERVAL
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if (frame_i<size(data.cameras,2))
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frame_i = frame_i+1;
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showFramei(hObject, handles)
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VisualISAMStep
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