You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: testFunction.m
    path of file: ./repos/Image-Harmonization-Dataset-iHarmony4/Lalonde and Efros
    
    the code of the file until where you have to start completion: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function testFunction
%   Example test function which loads up each image in the database, and displays 
% 
    
function testFunction
%   Example test function which loads up each image in the database, and displays 
%   various information. This file aims to illustrate how to extract the data
%   from the xml files.
% 
% Input parameters:
%
% Output parameters:
%
% Requires:
%   - the matlab image processing toolbox (only for display purposes here)
%   - the loadXML function, from the labelme matlab toolbox. You can get it from
%     http://labelme.csail.mit.edu/LabelMeToolbox/index.html
%
% Additional information
%   - the file 'userLabelings.mat' contains two variables:
%     - imageLabel, which contains the actual labels (0=unknown,
%       1=realistic, 2=unrealistic)
%     - isGenerated, which indicates whether the image is generated
%       or real (0=real, 1=generated)
%     The indices correspond to images, in alphabetical order. 
%   - the file 'indices.mat' contains three variables:
%     - indReal: indices of real images (180)
%     - indRealistic: indices of realistic images (180)
%     - indUnrealistic: indices of unrealistic images (359)
%     The indices correspond to images, in alphabetical order. 
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function testFunction
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2006-2007 Jean-Francois Lalonde
% Carnegie Mellon University
% Do not distribute
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
% set this variable to the base path of the database
databasePath = '/nfs/hn01/jlalonde/results/colorStatistics/iccv07/dataset/onlineDb';
labelmePath = '/nfs/hn21/projects/labelmeSubsampled800/';

dbPath = fullfile(databasePath, 'Annotation');
imagesPath = fullfile(databasePath, 'Images');

labelmeImagesPath = fullfile(labelmePath, 'Images');

% get the files
fileList = dir(fullfile(dbPath, '*.xml'));

% figure to display the images
figure;

% loop over all the files
for i=1:length(fileList)
    % load the xml information
    filePath = fullfile(dbPath, fileList(i).name);
    imgInfo = loadXML(filePath);
    
    % load the composite image
    imgPath = fullfile(imagesPath, imgInfo.image.filename);
    img = imread(imgPath);
    subplot(1,5,1), imshow(img), title('Composite');
    
    % load the masks
    maskPath = fullfile(dbPath, imgInfo.object.masks.filename);
    m = load(maskPath);
    
    % example: display the original image, the object only and the background only
    subplot(1,5,2), imshow(im2double(repmat(m.objMask, [1 1 3])) .* im2double(img)), title('Object');
    subplot(1,5,3), imshow(im2double(repmat(m.bgMask, [1 1 3])) .* im2double(img)), title('Background');
    
    % load the original images used to create the composite
    objImgPath = fullfile(labelmeImagesPath, imgInfo.objImgSrc.folder, imgInfo.objImgSrc.filename);
    objImg = imread(objImgPath);
    
    bgImgPath = fullfile(labelmeImagesPath, imgInfo.bgImgSrc.folder, imgInfo.bgImgSrc.filename);
    bgImg = imread(bgImgPath);
    
    % example: display the two images used to generate the composite 
    % resize only for display purposes
    subplot(1,5,4), imshow(imresize(objImg, [size(img,1) size(img,2)])), title('Original object');
    subplot(1,5,5), imshow(imresize(bgImg, [size(img,1) size(img,2)])), title('Original background');

    % wait for user input
    pause;
    
    % note: the masks cannot be used directly in the original images because we allow
    % for translation when copying the objects (see paper). The original mask needs to be
    % reconstructed from the object's polygon using the image processing toolbox function poly2mask
end