new prototype for VisualISAM_gui from Frank's example with many options
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%% data
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data = VisualISAMData_triangle();
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%data = VisualISAMData_triangle();
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data = VisualISAMData_cube();
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%% init
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[isam results] = VisualISAMInitialize(data);
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sprintf('Frame 1,2:')
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results
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figure(1); clf;
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VisualISAMPlot(results, data);
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%% Next frame index
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frame_i=3;
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frame_i=2;
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%% All steps
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while (frame_i<size(data.cameras,2))
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%% one step
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[isam results] = VisualISAMStep(frame_i, isam, data, results); frame_i = frame_i+1;
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frame_i = frame_i+1;
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[isam results] = VisualISAMStep(frame_i, isam, data, results);
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results
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figure(1); clf;
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VisualISAMPlot(results, data);
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end
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function varargout = VisualISAM_gui(varargin)
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% VISUALISAM_GUI MATLAB code for VisualISAM_gui.fig
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% VISUALISAM_GUI, by itself, creates a new VISUALISAM_GUI or raises the existing
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% singleton*.
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%
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% H = VISUALISAM_GUI returns the handle to a new VISUALISAM_GUI or the handle to
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% the existing singleton*.
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%
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% VISUALISAM_GUI('CALLBACK',hObject,eventData,handles,...) calls the local
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% function named CALLBACK in VISUALISAM_GUI.M with the given input arguments.
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%
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% VISUALISAM_GUI('Property','Value',...) creates a new VISUALISAM_GUI or raises the
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% existing singleton*. Starting from the left, property value pairs are
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% applied to the GUI before VisualISAM_gui_OpeningFcn gets called. An
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% unrecognized property name or invalid value makes property application
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% stop. All inputs are passed to VisualISAM_gui_OpeningFcn via varargin.
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%
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% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
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% instance to run (singleton)".
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%
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% See also: GUIDE, GUIDATA, GUIHANDLES
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% Edit the above text to modify the response to help VisualISAM_gui
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% Last Modified by GUIDE v2.5 08-Jun-2012 12:35:14
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% Begin initialization code - DO NOT EDIT
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gui_Singleton = 1;
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gui_State = struct('gui_Name', mfilename, ...
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'gui_Singleton', gui_Singleton, ...
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'gui_OpeningFcn', @VisualISAM_gui_OpeningFcn, ...
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'gui_OutputFcn', @VisualISAM_gui_OutputFcn, ...
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'gui_LayoutFcn', [] , ...
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'gui_Callback', []);
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if nargin && ischar(varargin{1})
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gui_State.gui_Callback = str2func(varargin{1});
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end
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if nargout
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[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
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else
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gui_mainfcn(gui_State, varargin{:});
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end
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% End initialization code - DO NOT EDIT
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% --- Executes just before VisualISAM_gui is made visible.
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function VisualISAM_gui_OpeningFcn(hObject, eventdata, handles, varargin)
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% This function has no output args, see OutputFcn.
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% hObject handle to figure
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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% varargin command line arguments to VisualISAM_gui (see VARARGIN)
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% Choose default command line output for VisualISAM_gui
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%% Data Options
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handles.TRIANGLE = true;
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handles.NCAMERAS = 20;
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handles.SHOW_IMAGES = false;
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%% iSAM Options
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handles.HARD_CONSTRAINT = false;
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handles.POINT_PRIORS = false;
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handles.BATCH_INIT = true;
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handles.REORDER_INTERVAL=10;
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handles.ALWAYS_RELINEARIZE = false;
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%% Display Options
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handles.SAVE_GRAPH = false;
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handles.PRINT_STATS = true;
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handles.DRAW_INTERVAL = 1;
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handles.CAMERA_INTERVAL = 1;
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handles.DRAW_TRUE_POSES = false;
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handles.SAVE_FIGURES = false;
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handles.SAVE_GRAPHS = false;
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handles = vData(handles);
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handles = vInit(handles);
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handles.output = hObject;
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% Update handles structure
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guidata(hObject, handles);
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% UIWAIT makes VisualISAM_gui wait for user response (see UIRESUME)
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% uiwait(handles.figure1);
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% --- Outputs from this function are returned to the command line.
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function varargout = VisualISAM_gui_OutputFcn(hObject, eventdata, handles)
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% varargout cell array for returning output args (see VARARGOUT);
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% hObject handle to figure
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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% Get default command line output from handles structure
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varargout{1} = handles.output;
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function handles = initialize(handles)
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handles=vData(handles);
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handles=vInit(handles);
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handles.result = {};
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cla;
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handles
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% --- Executes on button press in intializeButton.
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function intializeButton_Callback(hObject, eventdata, handles)
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% hObject handle to intializeButton (see GCBO)
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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handles=initialize(handles)
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guidata(hObject,handles)
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% --- Executes on button press in stepButton.
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function stepButton_Callback(hObject, eventdata, handles)
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% hObject handle to stepButton (see GCBO)
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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if (handles.frame_i<handles.NCAMERAS)
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sprintf('Frame %d:', handles.frame_i)
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handles = vStep(handles);
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guidata(hObject,handles)
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end
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% --- Executes on selection change in popupmenu1.
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function popupmenu1_Callback(hObject, eventdata, handles)
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% hObject handle to popupmenu1 (see GCBO)
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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% Hints: contents = cellstr(get(hObject,'String')) returns popupmenu1 contents as cell array
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% contents{get(hObject,'Value')} returns selected item from popupmenu1
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str = cellstr(get(hObject,'String'));
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sel = get(hObject,'Value');
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switch str{sel}
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case 'triangle'
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handles.TRIANGLE = true
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case 'cube'
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handles.TRIANGLE = false
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end
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handles = initialize(handles);
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guidata(hObject, handles);
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% --- Executes during object creation, after setting all properties.
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function popupmenu1_CreateFcn(hObject, eventdata, handles)
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% hObject handle to popupmenu1 (see GCBO)
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles empty - handles not created until after all CreateFcns called
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% Hint: popupmenu controls usually have a white background on Windows.
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% See ISPC and COMPUTER.
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if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
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set(hObject,'BackgroundColor','white');
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end
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% --- Executes on button press in backButton.
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function backButton_Callback(hObject, eventdata, handles)
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% hObject handle to backButton (see GCBO)
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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sprintf('Not yet implemented')
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% --- Executes on button press in runButton.
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function runButton_Callback(hObject, eventdata, handles)
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% hObject handle to runButton (see GCBO)
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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sprintf('Not yet implemented')
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% --- Executes on button press in stopButton.
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function stopButton_Callback(hObject, eventdata, handles)
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% hObject handle to stopButton (see GCBO)
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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sprintf('Not yet implemented')
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function [ handles ] = vData( handles )
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%VDATA Summary of this function goes here
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% Detailed explanation goes here
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%% Generate simulated data
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if handles.TRIANGLE % Create a triangle target, just 3 points on a plane
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handles.nPoints = 3;
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r = 10;
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for j=1:handles.nPoints
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theta = (j-1)*2*pi/handles.nPoints;
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handles.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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handles.nPoints = 8;
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handles.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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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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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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handles.K = gtsamCal3_S2(500,500,0,640/2,480/2);
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for i=1:handles.NCAMERAS
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theta = (i-1)*2*pi/handles.NCAMERAS;
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t = gtsamPoint3([r*cos(theta), r*sin(theta), height]');
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handles.cameras{i} = gtsamSimpleCamera_lookat(t, gtsamPoint3, gtsamPoint3([0,0,1]'), handles.K);
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% if handles.SHOW_IMAGES % show images
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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 = handles.cameras{i}.project(handles.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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end
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handles.odometry = handles.cameras{1}.pose.between(handles.cameras{2}.pose);
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%% Set Noise parameters
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handles.poseNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]');
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handles.odometryNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]');
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handles.pointNoise = gtsamSharedNoiseModel_Sigma(3, 0.1);
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handles.measurementNoise = gtsamSharedNoiseModel_Sigma(2, 1.0);
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end
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function [ handles ] = vInit( handles )
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%VINIT Summary of this function goes here
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% Detailed explanation goes here
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%% Initialize iSAM
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handles.isam = visualSLAMISAM(handles.REORDER_INTERVAL);
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handles.newFactors = visualSLAMGraph;
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handles.initialEstimates = visualSLAMValues;
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i1 = symbol('x',1);
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camera1 = handles.cameras{1};
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pose1 = camera1.pose;
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if handles.HARD_CONSTRAINT % add hard constraint
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handles.newFactors.addPoseConstraint(i1,pose1);
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else
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handles.newFactors.addPosePrior(i1,pose1, handles.poseNoise);
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end
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handles.initialEstimates.insertPose(i1,pose1);
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% Add visual measurement factors from first pose
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for j=1:handles.nPoints
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jj = symbol('l',j);
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if handles.POINT_PRIORS % add point priors
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handles.newFactors.addPointPrior(jj, handles.points{j}, handles.pointNoise);
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end
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zij = camera1.project(handles.points{j});
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handles.newFactors.addMeasurement(zij, handles.measurementNoise, i1, jj, handles.K);
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handles.initialEstimates.insertPoint(jj, handles.points{j});
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end
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handles.frame_i = 2;
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end
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function [ handles ] = vStep( handles )
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%VSTEP Summary of this function goes here
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% Detailed explanation goes here
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%% Add odometry
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handles.newFactors.addOdometry(symbol('x',handles.frame_i-1), symbol('x',handles.frame_i), handles.odometry, handles.odometryNoise);
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%% Add visual measurement factors
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for j=1:handles.nPoints
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zij = handles.cameras{handles.frame_i}.project(handles.points{j});
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handles.newFactors.addMeasurement(zij, handles.measurementNoise, symbol('x',handles.frame_i), symbol('l',j), handles.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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%TODO: this might be suboptimal since "result" is not the fully optimized result
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handles.frame_i
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if (handles.frame_i==2), prevPose = handles.cameras{1}.pose;
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else, prevPose = handles.result.pose(symbol('x',handles.frame_i-1)); end
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handles.initialEstimates.insertPose(symbol('x',handles.frame_i), prevPose.compose(handles.odometry));
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%% Update ISAM
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if handles.BATCH_INIT & (handles.frame_i==2) % Do a full optimize for first two poses
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handles.initialEstimates
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fullyOptimized = handles.newFactors.optimize(handles.initialEstimates)
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handles.initialEstimates = fullyOptimized;
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end
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% figure(1);tic;
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handles.isam.update(handles.newFactors, handles.initialEstimates);
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% t=toc; plot(handles.frame_i,t,'r.'); tic
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handles.result = handles.isam.estimate();
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% t=toc; plot(handles.frame_i,t,'g.');
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if handles.ALWAYS_RELINEARIZE % re-linearize
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handles.isam.reorder_relinearize();
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end
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if handles.SAVE_GRAPH
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handles.isam.saveGraph(sprintf('VisualiSAM.dot',handles.frame_i));
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end
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if handles.PRINT_STATS
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handles.isam.printStats();
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end
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handles.frame_i
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handles.DRAW_INTERVAL
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if mod(handles.frame_i,handles.DRAW_INTERVAL)==0
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sprintf('Plotting')
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%% Plot results
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tic
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% h=figure(2);clf
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% set(1,'NumberTitle','off','Name','Visual iSAM');
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hold on;
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for j=1:handles.nPoints
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P = handles.isam.marginalCovariance(symbol('l',j));
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point_j = handles.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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covarianceEllipse3D([point_j.x;point_j.y;point_j.z],P);
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end
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for ii=1:handles.CAMERA_INTERVAL:handles.frame_i
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P = handles.isam.marginalCovariance(symbol('x',ii));
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pose_ii = handles.result.pose(symbol('x',ii));
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plotPose3(pose_ii,P,10);
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if handles.DRAW_TRUE_POSES % show ground truth
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plotPose3(handles.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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% figure(2);
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t=toc;
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if handles.DRAW_INTERVAL~=handles.NCAMERAS, plot(handles.frame_i,t,'b.'); end
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if handles.SAVE_FIGURES
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print(h,'-dpng',sprintf('VisualiSAM%03d.png',handles.frame_i));
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end
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if handles.SAVE_GRAPHS
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handles.isam.saveGraph(sprintf('VisualiSAM%03d.dot',handles.frame_i));
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end
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hold off;
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end
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%% Reset newFactors and initialEstimates to prepare for the next update
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handles.newFactors = visualSLAMGraph;
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handles.initialEstimates = visualSLAMValues;
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handles.frame_i = handles.frame_i+1;
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end
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