File size: 4,897 Bytes
d4035c1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 | function imdb = imageDbFromVoc(root, varargin)
% IMAGEDBFROMVOC Construct an image database from VOC data
% IMDB = IMAGEDBFROMVOC(ROOT, SUB1, SUB2, ...) returns the specified
% subsets of the VOC 2009 data. Here SUBN is one of 'train09',
% 'val09', 'test09', 'train08', 'val08', 'test08', 'train07',
% 'val07', 'test07'. ROOT is the path of the VOCDevkit package.
%
% IMDB.IMAGES.ID = image ID
% IMDB.IMAGES.NAME = image name
% IMDB.IMAGES.SET = image set code
% IMDB.DIR = directory holding the .JPG files
% IMDB.SETS.TRAIN09 = code for 2009 TRAIN set
% IMDB.SETS.VAL09 = code for 2009 VAL set
% IMDB.SETS.TEST09 = code for 2009 TEST set
% IMDB.SETS.TRAIN08 = code for 2008 TRAIN set
% IMDB.SETS.VAL08 = code for 2008 VAL set
% IMDB.SETS.TEST08 = code for 2008 TEST set
% IMDB.SETS.TRAIN07 = code for 2007 TRAIN set
% IMDB.SETS.VAL07 = code for 2007 VAL set
% IMDB.SETS.TEST07 = code for 2007 TEST set
%
% Note that the 2009 data is a superset of the 2008 data. Specifying
% both may result in duplicated images being selected.
%
% Author:: Andrea Vedaldi
% AUTORIGHTS
% Copyright (C) 2008-09 Andrea Vedaldi
%
% This file is part of the VGG MKL Class and VGG MKL Det code packages,
% available in the terms of the GNU General Public License version 2.
sets = varargin ;
VOCopts09 = getVocOpts(root, '2009') ;
VOCopts08 = getVocOpts(root, '2008') ;
VOCopts07 = getVocOpts(root, '2007') ;
templ09 = VOCopts09.imgsetpath ;
templ08 = VOCopts08.imgsetpath ;
templ07 = VOCopts07.imgsetpath ;
imdb.sets.TRAIN07 = uint8(1) ;
imdb.sets.VAL07 = uint8(2) ;
imdb.sets.TEST07 = uint8(3) ;
imdb.sets.TRAIN08 = uint8(4) ;
imdb.sets.VAL08 = uint8(5) ;
imdb.sets.TEST08 = uint8(6) ;
imdb.sets.TRAIN09 = uint8(7) ;
imdb.sets.VAL09 = uint8(8) ;
imdb.sets.TEST09 = uint8(9) ;
% determine the most recend edition installed
imdb.dir = root ;
names = {} ;
setCodes = {} ;
for si = 1:length(sets)
switch sets{si}
case 'train09'
[n, s] = loadImageSetHelper(VOCopts09, 'train', imdb.sets.TRAIN09) ;
case 'val09'
[n, s] = loadImageSetHelper(VOCopts09, 'val', imdb.sets.VAL09) ;
case 'test09'
[n, s] = loadImageSetHelper(VOCopts09, 'test', imdb.sets.TEST09) ;
case 'train08'
[n, s] = loadImageSetHelper(VOCopts08, 'train', imdb.sets.TRAIN08) ;
case 'val08'
[n, s] = loadImageSetHelper(VOCopts08, 'val', imdb.sets.VAL08) ;
case 'test08'
[n, s] = loadImageSetHelper(VOCopts08, 'test', imdb.sets.TEST08) ;
case 'train07'
[n, s] = loadImageSetHelper(VOCopts07, 'train', imdb.sets.TRAIN07) ;
case 'val07'
[n, s] = loadImageSetHelper(VOCopts07, 'val', imdb.sets.VAL07) ;
case 'test07'
[n, s] = loadImageSetHelper(VOCopts07, 'test', imdb.sets.TEST07) ;
otherwise
error('Unknown subset ''%s''', sets{si}) ;
end
names{end+1} = n ;
setCodes{end+1} = s ;
end
names = cat(1, names{:})';
setCodes = num2cell(cat(2, setCodes{:})) ;
% check for duplicates
tmp = strvcat(names) ;
if size(tmp, 2) > size(unique(tmp, 'rows'), 2)
error('Detected duplicated images. See HELP %s', mfilename) ;
end
% check all images
fprintf('%s: checking images and getting sizes ...\n', mfilename) ;
for ii=1:length(names)
fprintf('\r%5.1f %%: %s', ii/length(names)*100, names{ii}) ;
info = imfinfo(fullfile(imdb.dir, names{ii})) ;
imdb.images(ii).name = names{ii} ;
imdb.images(ii).set = setCodes{ii} ;
imdb.images(ii).size = [info.Width; info.Height] ;
end
fprintf('\n') ;
% assign IDs
groupNumber = 0 ;
setNumbers = { 00, 01, 100, ...
10, 11, 110, ...
20, 21, 120 } ;
setNames = {'train07', 'val07', 'test07', ...
'train08', 'val08', 'test08', ...
'train09', 'val09', 'test09' } ;
for si=1:length(setNames)
setName = upper(char(setNames{si})) ;
sel = find([imdb.images.set] == imdb.sets.(setName)) ;
for ii=1:length(sel)
imdb.images(sel(ii)).id = ii + 1e7 * setNumbers{si} ;
end
end
% sort by ID
[drop, perm] = sort([imdb.images.id]) ;
imdb.images = imdb.images(perm) ;
imdb.images = aosToSoa(imdb.images) ;
% --------------------------------------------------------------------
function [names, setCodes] = loadImageSetHelper(VOCopts, setName, setCode)
% --------------------------------------------------------------------
root = VOCopts.datadir ;
imgpatht = VOCopts.imgpath ;
setpatht = VOCopts.imgsetpath ;
setPath = sprintf(setpatht, setName) ;
fprintf('%s: adding ''%s''\n', mfilename, setPath) ;
names = textread(setPath, '%s') ;
setCodes = setCode(ones(1, length(names))) ;
for ni=1:length(names)
fullName = sprintf(imgpatht, names{ni}) ;
fullName = fullName(length(root)+1:end) ;
if fullName(1) == '/', fullName(1) = [] ; end ;
names{ni} = fullName ;
end
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