ini.m

% ========================================================================
% Image Classification using Bag of Words and Spatial Pyramid BoW
% Created by Piji Li (pagelee.sd@gmail.com)  
% Blog: http://www.zhizhihu.com
% Weibo: http://www.weibo.com/pagecn
% IRLab. : http://ir.sdu.edu.cn     
% Shandong University,Jinan,China
% 10/24/2011

clear pg_opts
rootpath='/home/lipiji/PG_BOW_DEMO/';

%%
addpath libsvm;
addpath BOW;

%% change these paths to point to the image, data and label location
images_set=strcat(rootpath,'images');
data=strcat(rootpath,'data');
labels=strcat(rootpath,'labels');

%%
pg_opts.imgpath=images_set; % image path
pg_opts.datapath=data;
pg_opts.labelspath=labels;

%%
% local and global data paths
pg_opts.localdatapath=sprintf('%s/local',pg_opts.datapath);
pg_opts.globaldatapath=sprintf('%s/global',pg_opts.datapath);

% initialize the training set
pg_opts.trainset=sprintf('%s/trainset.mat',pg_opts.labelspath);
% initialize the test set
pg_opts.testset=sprintf('%s/testset.mat',pg_opts.labelspath);
% initialize the labels
pg_opts.labels=sprintf('%s/labels.mat',pg_opts.labelspath);
% initialize the image names
pg_opts.image_names=sprintf('%s/image_names.mat',pg_opts.labelspath);

% Classes
pg_opts.classes = load([pg_opts.labelspath,'/classes.mat']);
pg_opts.classes = pg_opts.classes.classes;
pg_opts.nclasses = length(pg_opts.classes);

load(sprintf('%s',pg_opts.labels));
pg_opts.nimages = size(labels,1);

load(pg_opts.trainset);
load(pg_opts.testset);
pg_opts.ntraning = length(find(trainset==1));
pg_opts.ntesting = length(find(testset==1));

%% creat the directory to save data 
MakeDataDirectory(pg_opts);