lhioutputlabelmap.m

This code can parse any image in matlab. Very elaborate code

function LHIOutputLabelMap (D, opfolder, nameList, method, HOMEIMAGES, HOMELABELMAPS)
%function [database, XML] = LHIOutputCategoryLabelMap(Database, outputfolder, {objectNameList}, OutputType)
%
% This function output the labelmap for specified object categories.
%
%  LHIOutputCategoryLabelMap (D, opfolder, nameList, method)
%
%    D:         database struct
%    opfolder:  can be any of the fields in the struct at the object level.
%    nameList:  a cell array containing a list of names of object of interest
%               For example, nameList={'car','tree','sky','building'}.
%    method:    different output format
%               = 0; Default, make multiple color labelmap
%               = 1; % Make separate folder for each category with white for
%                   foreground and black for background
%               = 2; % Make separate sketch label for each category with white
%                   for on sketch pixels and black for off sketch pixels 
% Example:
% LHIdatabase(D, 'C:\folder\', {'car','tree','sky','building'}, 0); 
% This will make 5 color labelmaps with one color for each category in {
% 'car','tree','sky','building'} and 'bg' for everything else.
%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% UCLA_LHI Dataset
% http://www.imageparsing.com
% 
% CIVS, UCLA
% 2008
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

if (OutputType == 2)
    Ncate = length(nameList);
    %name = [];
    for i = 1:Ncate,
        mkdir(fullfile(opfolder,nameList{i}));
        data = LHIquery(D, 'object.name', nameList{i});
        Nimages = length(data);
        for j = 1:Nimages,
            img = LHIimread(data, j, HOMEIMAGES); % Load image
            bgMap = LHILMread(data, j, HOMELABELMAPS);
            % = labelMap;
            bgMap(:) = 0; %black out all first
            bgMap = LHIdrawsubgraph(data(j).annotation,bgMap);
        end
    end
    
end