go_windows.m

clc ;
clear all;
close all ;

% addpath
addpath RASL_toolbox ;
addpath data ;
addpath results ;

%% define images' path

currentPath = cd;

% input path
imagePath = fullfile(currentPath,'data') ;
pointPath = fullfile(currentPath,'data') ; 
userName = 'Windows' ;

% output path
destRoot = fullfile(currentPath,'results') ;
destDir = fullfile(destRoot,userName) ;
if ~exist(destDir,'dir')
    mkdir(destRoot,userName) ;
end

raslpara.DISPLAY = 1 ;


raslpara.saveStart = 1 ;
raslpara.saveEnd = 1 ;
raslpara.saveIntermedia = 0 ;

% for windows images
raslpara.canonicalImageSize = [ 200 200  ];
raslpara.canonicalCoords = [ 26  176  100; ...
                             24  24   184 ];
                            
% parametric tranformation model
raslpara.transformType = 'HOMOGRAPHY'; 

raslpara.numScales = 1 ; % if numScales > 1, we use multiscales

% main loop
raslpara.stoppingDelta = .01; % stopping condition of main loop
raslpara.maxIter = 25; % maximum iteration number of main loops

% inner loop
raslpara.inner_tol = 1e-6 ;
raslpara.inner_maxIter = 1000 ;
raslpara.continuationFlag = 1 ;
raslpara.mu = 1e-3 ;
raslpara.lambdac = 1 ; % lambda = lambdac/sqrt(m)


transformationInit = 'AFFINE';

[fileNames, transformations, numImages] = get_training_images( imagePath, pointPath, userName, raslpara.canonicalCoords, transformationInit) ;


[D, Do, A, E, xi, numIterOuter, numIterInner ] = rasl_main(fileNames, transformations, numImages, raslpara, destDir);

layout.xI = 4 ;
layout.yI = 4 ;
layout.gap = 4 ;
layout.gap2 = 2 ;
rasl_plot(destDir, numImages, raslpara.canonicalImageSize, layout)