new prototype for VisualISAM_gui from Frank's example with many options

release/4.3a0
Duy-Nguyen Ta 2012-06-08 16:40:30 +00:00
parent 1913640d2c
commit 2f2f1875d9
13 changed files with 351 additions and 3 deletions

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%% data
data = VisualISAMData_triangle();
%data = VisualISAMData_triangle();
data = VisualISAMData_cube();
%% init
[isam results] = VisualISAMInitialize(data);
sprintf('Frame 1,2:')
results
figure(1); clf;
VisualISAMPlot(results, data);
%% Next frame index
frame_i=3;
frame_i=2;
%% All steps
while (frame_i<size(data.cameras,2))
%% one step
[isam results] = VisualISAMStep(frame_i, isam, data, results); frame_i = frame_i+1;
frame_i = frame_i+1;
[isam results] = VisualISAMStep(frame_i, isam, data, results);
results
figure(1); clf;
VisualISAMPlot(results, data);
end

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function varargout = VisualISAM_gui(varargin)
% VISUALISAM_GUI MATLAB code for VisualISAM_gui.fig
% VISUALISAM_GUI, by itself, creates a new VISUALISAM_GUI or raises the existing
% singleton*.
%
% H = VISUALISAM_GUI returns the handle to a new VISUALISAM_GUI or the handle to
% the existing singleton*.
%
% VISUALISAM_GUI('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in VISUALISAM_GUI.M with the given input arguments.
%
% VISUALISAM_GUI('Property','Value',...) creates a new VISUALISAM_GUI or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before VisualISAM_gui_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to VisualISAM_gui_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help VisualISAM_gui
% Last Modified by GUIDE v2.5 08-Jun-2012 12:35:14
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @VisualISAM_gui_OpeningFcn, ...
'gui_OutputFcn', @VisualISAM_gui_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% --- Executes just before VisualISAM_gui is made visible.
function VisualISAM_gui_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to VisualISAM_gui (see VARARGIN)
% Choose default command line output for VisualISAM_gui
%% Data Options
handles.TRIANGLE = true;
handles.NCAMERAS = 20;
handles.SHOW_IMAGES = false;
%% iSAM Options
handles.HARD_CONSTRAINT = false;
handles.POINT_PRIORS = false;
handles.BATCH_INIT = true;
handles.REORDER_INTERVAL=10;
handles.ALWAYS_RELINEARIZE = false;
%% Display Options
handles.SAVE_GRAPH = false;
handles.PRINT_STATS = true;
handles.DRAW_INTERVAL = 1;
handles.CAMERA_INTERVAL = 1;
handles.DRAW_TRUE_POSES = false;
handles.SAVE_FIGURES = false;
handles.SAVE_GRAPHS = false;
handles = vData(handles);
handles = vInit(handles);
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes VisualISAM_gui wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = VisualISAM_gui_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
function handles = initialize(handles)
handles=vData(handles);
handles=vInit(handles);
handles.result = {};
cla;
handles
% --- Executes on button press in intializeButton.
function intializeButton_Callback(hObject, eventdata, handles)
% hObject handle to intializeButton (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
handles=initialize(handles)
guidata(hObject,handles)
% --- Executes on button press in stepButton.
function stepButton_Callback(hObject, eventdata, handles)
% hObject handle to stepButton (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if (handles.frame_i<handles.NCAMERAS)
sprintf('Frame %d:', handles.frame_i)
handles = vStep(handles);
guidata(hObject,handles)
end
% --- Executes on selection change in popupmenu1.
function popupmenu1_Callback(hObject, eventdata, handles)
% hObject handle to popupmenu1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: contents = cellstr(get(hObject,'String')) returns popupmenu1 contents as cell array
% contents{get(hObject,'Value')} returns selected item from popupmenu1
str = cellstr(get(hObject,'String'));
sel = get(hObject,'Value');
switch str{sel}
case 'triangle'
handles.TRIANGLE = true
case 'cube'
handles.TRIANGLE = false
end
handles = initialize(handles);
guidata(hObject, handles);
% --- Executes during object creation, after setting all properties.
function popupmenu1_CreateFcn(hObject, eventdata, handles)
% hObject handle to popupmenu1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: popupmenu controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% --- Executes on button press in backButton.
function backButton_Callback(hObject, eventdata, handles)
% hObject handle to backButton (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
sprintf('Not yet implemented')
% --- Executes on button press in runButton.
function runButton_Callback(hObject, eventdata, handles)
% hObject handle to runButton (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
sprintf('Not yet implemented')
% --- Executes on button press in stopButton.
function stopButton_Callback(hObject, eventdata, handles)
% hObject handle to stopButton (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
sprintf('Not yet implemented')

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function [ handles ] = vData( handles )
%VDATA Summary of this function goes here
% Detailed explanation goes here
%% Generate simulated data
if handles.TRIANGLE % Create a triangle target, just 3 points on a plane
handles.nPoints = 3;
r = 10;
for j=1:handles.nPoints
theta = (j-1)*2*pi/handles.nPoints;
handles.points{j} = gtsamPoint3([r*cos(theta), r*sin(theta), 0]');
end
else % 3D landmarks as vertices of a cube
handles.nPoints = 8;
handles.points = {gtsamPoint3([10 10 10]'),...
gtsamPoint3([-10 10 10]'),...
gtsamPoint3([-10 -10 10]'),...
gtsamPoint3([10 -10 10]'),...
gtsamPoint3([10 10 -10]'),...
gtsamPoint3([-10 10 -10]'),...
gtsamPoint3([-10 -10 -10]'),...
gtsamPoint3([10 -10 -10]')};
end
%% Create camera cameras on a circle around the triangle
height = 10; r = 40;
handles.K = gtsamCal3_S2(500,500,0,640/2,480/2);
for i=1:handles.NCAMERAS
theta = (i-1)*2*pi/handles.NCAMERAS;
t = gtsamPoint3([r*cos(theta), r*sin(theta), height]');
handles.cameras{i} = gtsamSimpleCamera_lookat(t, gtsamPoint3, gtsamPoint3([0,0,1]'), handles.K);
% if handles.SHOW_IMAGES % show images
% figure(2+i);clf;hold on
% set(2+i,'NumberTitle','off','Name',sprintf('Camera %d',i));
% for j=1:nPoints
% zij = handles.cameras{i}.project(handles.points{j});
% plot(zij.x,zij.y,'*');
% axis([1 640 1 480]);
% end
% end
end
handles.odometry = handles.cameras{1}.pose.between(handles.cameras{2}.pose);
%% Set Noise parameters
handles.poseNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]');
handles.odometryNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]');
handles.pointNoise = gtsamSharedNoiseModel_Sigma(3, 0.1);
handles.measurementNoise = gtsamSharedNoiseModel_Sigma(2, 1.0);
end

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function [ handles ] = vInit( handles )
%VINIT Summary of this function goes here
% Detailed explanation goes here
%% Initialize iSAM
handles.isam = visualSLAMISAM(handles.REORDER_INTERVAL);
handles.newFactors = visualSLAMGraph;
handles.initialEstimates = visualSLAMValues;
i1 = symbol('x',1);
camera1 = handles.cameras{1};
pose1 = camera1.pose;
if handles.HARD_CONSTRAINT % add hard constraint
handles.newFactors.addPoseConstraint(i1,pose1);
else
handles.newFactors.addPosePrior(i1,pose1, handles.poseNoise);
end
handles.initialEstimates.insertPose(i1,pose1);
% Add visual measurement factors from first pose
for j=1:handles.nPoints
jj = symbol('l',j);
if handles.POINT_PRIORS % add point priors
handles.newFactors.addPointPrior(jj, handles.points{j}, handles.pointNoise);
end
zij = camera1.project(handles.points{j});
handles.newFactors.addMeasurement(zij, handles.measurementNoise, i1, jj, handles.K);
handles.initialEstimates.insertPoint(jj, handles.points{j});
end
handles.frame_i = 2;
end

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function [ handles ] = vStep( handles )
%VSTEP Summary of this function goes here
% Detailed explanation goes here
%% Add odometry
handles.newFactors.addOdometry(symbol('x',handles.frame_i-1), symbol('x',handles.frame_i), handles.odometry, handles.odometryNoise);
%% Add visual measurement factors
for j=1:handles.nPoints
zij = handles.cameras{handles.frame_i}.project(handles.points{j});
handles.newFactors.addMeasurement(zij, handles.measurementNoise, symbol('x',handles.frame_i), symbol('l',j), handles.K);
end
%% Initial estimates for the new pose. Also initialize points while in the first frame.
%TODO: this might be suboptimal since "result" is not the fully optimized result
handles.frame_i
if (handles.frame_i==2), prevPose = handles.cameras{1}.pose;
else, prevPose = handles.result.pose(symbol('x',handles.frame_i-1)); end
handles.initialEstimates.insertPose(symbol('x',handles.frame_i), prevPose.compose(handles.odometry));
%% Update ISAM
if handles.BATCH_INIT & (handles.frame_i==2) % Do a full optimize for first two poses
handles.initialEstimates
fullyOptimized = handles.newFactors.optimize(handles.initialEstimates)
handles.initialEstimates = fullyOptimized;
end
% figure(1);tic;
handles.isam.update(handles.newFactors, handles.initialEstimates);
% t=toc; plot(handles.frame_i,t,'r.'); tic
handles.result = handles.isam.estimate();
% t=toc; plot(handles.frame_i,t,'g.');
if handles.ALWAYS_RELINEARIZE % re-linearize
handles.isam.reorder_relinearize();
end
if handles.SAVE_GRAPH
handles.isam.saveGraph(sprintf('VisualiSAM.dot',handles.frame_i));
end
if handles.PRINT_STATS
handles.isam.printStats();
end
handles.frame_i
handles.DRAW_INTERVAL
if mod(handles.frame_i,handles.DRAW_INTERVAL)==0
sprintf('Plotting')
%% Plot results
tic
% h=figure(2);clf
% set(1,'NumberTitle','off','Name','Visual iSAM');
hold on;
for j=1:handles.nPoints
P = handles.isam.marginalCovariance(symbol('l',j));
point_j = handles.result.point(symbol('l',j));
plot3(point_j.x, point_j.y, point_j.z,'marker','o');
covarianceEllipse3D([point_j.x;point_j.y;point_j.z],P);
end
for ii=1:handles.CAMERA_INTERVAL:handles.frame_i
P = handles.isam.marginalCovariance(symbol('x',ii));
pose_ii = handles.result.pose(symbol('x',ii));
plotPose3(pose_ii,P,10);
if handles.DRAW_TRUE_POSES % show ground truth
plotPose3(handles.cameras{ii}.pose,0.001*eye(6),10);
end
end
axis([-40 40 -40 40 -10 20]);axis equal
view(3)
colormap('hot')
% figure(2);
t=toc;
if handles.DRAW_INTERVAL~=handles.NCAMERAS, plot(handles.frame_i,t,'b.'); end
if handles.SAVE_FIGURES
print(h,'-dpng',sprintf('VisualiSAM%03d.png',handles.frame_i));
end
if handles.SAVE_GRAPHS
handles.isam.saveGraph(sprintf('VisualiSAM%03d.dot',handles.frame_i));
end
hold off;
end
%% Reset newFactors and initialEstimates to prepare for the next update
handles.newFactors = visualSLAMGraph;
handles.initialEstimates = visualSLAMValues;
handles.frame_i = handles.frame_i+1;
end