function Script_CECLM_cross_data()

addpath(genpath('../'));

[images, detections, labels] = Collect_menpo_imgs('G:\Datasets\menpo/');

%% loading the CE-CLM model and parameters   
[patches, pdm, clmParams, early_term_params] = Load_CECLM_general();
views = [0,0,0; 0,-30,0; 0,30,0; 0,-55,0; 0,55,0; 0,0,30; 0,0,-30; 0,-90,0; 0,90,0; 0,-70,40; 0,70,-40];
views = views * pi/180;
        
% As early termination weights were trained on part of menpo turn them off, 
% to perform a clean cross-data experiment
early_term_params.weights_scale(:) = 1;
early_term_params.weights_add(:) = 0;
early_term_params.cutoffs(:) = -0.2;

% Use the multi-hypothesis model, as bounding box tells nothing about
% orientation
multi_view = true;

%% Setup recording
experiment.params = clmParams;

num_points = numel(pdm.M)/3;

shapes_all = cell(numel(images), 1);
labels_all = cell(numel(images), 1);
lhoods = zeros(numel(images),1);
all_lmark_lhoods = zeros(num_points, numel(images));
all_views_used = zeros(numel(images),1);

% Change if you want to visualize the outputs
verbose = false;
output_img = false;

if(output_img)
    output_root = './ceclm_gen_out/';
    if(~exist(output_root, 'dir'))
        mkdir(output_root);
    end
end
if(verbose)
    f = figure;
end
%% Fitting the model to the provided images
tic
for i=1:numel(images)
    image = imread(images(i).img);
    image_orig = image;
    
    if(size(image,3) == 3)
        image = rgb2gray(image);
    end              

    bbox = squeeze(detections(i,:));                  
    
    % The actual work get's done here
    [shape,~,~,lhood,lmark_lhood,view_used] =...
        Fitting_from_bb_multi_hyp(image, [], bbox, pdm, patches, clmParams, views, early_term_params);

    all_lmark_lhoods(:,i) = lmark_lhood;
    all_views_used(i) = view_used;

    shapes_all{i} = shape;
    labels_all{i} = labels{i};

    if(mod(i, 200)==0)
        fprintf('%d done\n', i );
    end

    lhoods(i) = lhood;
    
    if(output_img)
        v_points = logical(patches(1).visibilities(view_used,:))';
        DrawFaceOnImg(image_orig, shape, sprintf('%s/%s%d.jpg', output_root, 'fit', i), bbox, v_points);
    end
    
    if(verbose)
        v_points = logical(patches(1).visibilities(view_used,:))';
        DrawFaceOnFig(image_orig, shape, bbox, v_points);
    end
        
end
toc

experiment.lhoods = lhoods;
experiment.shapes = shapes_all;
experiment.labels = labels_all;
experiment.all_lmark_lhoods = all_lmark_lhoods;
experiment.all_views_used = all_views_used;

%%
output_results = 'results/results_ceclm_cross-data.mat';
save(output_results, 'experiment');
    
end
