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‎data/VOCdevkit2007/VOC2007/README.md‎

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##Pascal Voc dataset
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Put your pascal voc dataset here.
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It should be:
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-VOC2007
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--Annotations
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--ImageSets
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--JPEGImages
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--SegmentationClass
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--SegmentationObject
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The dataset download Path:
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wget http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar
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wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtrainval_06-Nov-2007.tar
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wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtest_06-Nov-2007.tar

‎data/VOCdevkit2007/VOCcode/PASemptyobject.m‎

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function object=PASemptyobject
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object.label='';
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object.orglabel='';
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object.bbox=[];
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object.polygon=[];
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object.mask='';
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object.class='';
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object.view='';
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object.truncated=false;
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object.difficult=false;
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return

‎data/VOCdevkit2007/VOCcode/PASemptyrecord.m‎

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function record=PASemptyrecord
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record.imgname='';
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record.imgsize=[];
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record.database='';
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record.objects=PASemptyobject;
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return

‎data/VOCdevkit2007/VOCcode/PASerrmsg.m‎

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function PASerrmsg(PASerr,SYSerr)
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fprintf('Pascal Error Message: %s\n',PASerr);
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fprintf('System Error Message: %s\n',SYSerr);
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k=input('Enter K for keyboard, any other key to continue or ^C to quit ...','s');
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if (~isempty(k)), if (lower(k)=='k'), keyboard; end; end;
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fprintf('\n');
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return

‎data/VOCdevkit2007/VOCcode/PASreadrecord.m‎

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function rec = PASreadrecord(path)
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if length(path)<4
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error('unable to determine format: %s',path);
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end
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if strcmp(path(end-3:end),'.txt')
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rec=PASreadrectxt(path);
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else
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rec=VOCreadrecxml(path);
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end

‎data/VOCdevkit2007/VOCcode/PASreadrectxt.m‎

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function record=PASreadrectxt(filename)
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[fd,syserrmsg]=fopen(filename,'rt');
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if (fd==-1),
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PASmsg=sprintf('Could not open %s for reading',filename);
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PASerrmsg(PASmsg,syserrmsg);
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end;
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matchstrs=initstrings;
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record=PASemptyrecord;
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notEOF=1;
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while (notEOF),
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line=fgetl(fd);
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notEOF=ischar(line);
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if (notEOF),
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matchnum=match(line,matchstrs);
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switch matchnum,
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case 1, [imgname]=strread(line,matchstrs(matchnum).str);
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record.imgname=char(imgname);
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case 2, [x,y,c]=strread(line,matchstrs(matchnum).str);
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record.imgsize=[x y c];
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case 3, [database]=strread(line,matchstrs(matchnum).str);
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record.database=char(database);
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case 4, [obj,lbl,xmin,ymin,xmax,ymax]=strread(line,matchstrs(matchnum).str);
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record.objects(obj).label=char(lbl);
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record.objects(obj).bbox=[min(xmin,xmax),min(ymin,ymax),max(xmin,xmax),max(ymin,ymax)];
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case 5, tmp=findstr(line,' : ');
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[obj,lbl]=strread(line(1:tmp),matchstrs(matchnum).str);
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record.objects(obj).label=char(lbl);
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record.objects(obj).polygon=sscanf(line(tmp+3:end),'(%d, %d) ')';
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case 6, [obj,lbl,mask]=strread(line,matchstrs(matchnum).str);
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record.objects(obj).label=char(lbl);
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record.objects(obj).mask=char(mask);
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case 7, [obj,lbl,orglbl]=strread(line,matchstrs(matchnum).str);
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lbl=char(lbl);
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record.objects(obj).label=lbl;
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record.objects(obj).orglabel=char(orglbl);
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if strcmp(lbl(max(end-8,1):end),'Difficult')
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record.objects(obj).difficult=true;
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lbl(end-8:end)=[];
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else
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record.objects(obj).difficult=false;
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end
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if strcmp(lbl(max(end-4,1):end),'Trunc')
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record.objects(obj).truncated=true;
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lbl(end-4:end)=[];
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else
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record.objects(obj).truncated=false;
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end
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t=find(lbl>='A'&lbl<='Z');
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t=t(t>=4);
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if ~isempty(t)
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record.objects(obj).view=lbl(t(1):end);
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lbl(t(1):end)=[];
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else
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record.objects(obj).view='';
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end
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record.objects(obj).class=lbl(4:end);
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otherwise, %fprintf('Skipping: %s\n',line);
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end;
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end;
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end;
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fclose(fd);
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return
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function matchnum=match(line,matchstrs)
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for i=1:length(matchstrs),
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matched(i)=strncmp(line,matchstrs(i).str,matchstrs(i).matchlen);
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end;
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matchnum=find(matched);
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if isempty(matchnum), matchnum=0; end;
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if (length(matchnum)~=1),
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PASerrmsg('Multiple matches while parsing','');
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end;
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return
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function s=initstrings
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s(1).matchlen=14;
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s(1).str='Image filename : %q';
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s(2).matchlen=10;
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s(2).str='Image size (X x Y x C) : %d x %d x %d';
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s(3).matchlen=8;
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s(3).str='Database : %q';
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s(4).matchlen=8;
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s(4).str='Bounding box for object %d %q (Xmin, Ymin) - (Xmax, Ymax) : (%d, %d) - (%d, %d)';
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s(5).matchlen=7;
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s(5).str='Polygon for object %d %q (X, Y)';
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s(6).matchlen=5;
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s(6).str='Pixel mask for object %d %q : %q';
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s(7).matchlen=8;
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s(7).str='Original label for object %d %q : %q';
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return

‎data/VOCdevkit2007/VOCcode/VOCevalcls.m‎

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function [rec,prec,ap] = VOCevalcls(VOCopts,id,cls,draw)
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% load test set
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[gtids,gt]=textread(sprintf(VOCopts.clsimgsetpath,cls,VOCopts.testset),'%s %d');
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% load results
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[ids,confidence]=textread(sprintf(VOCopts.clsrespath,id,cls),'%s %f');
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% map results to ground truth images
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out=ones(size(gt))*-inf;
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tic;
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for i=1:length(ids)
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% display progress
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if toc>1
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fprintf('%s: pr: %d/%d\n',cls,i,length(ids));
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drawnow;
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tic;
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end
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% find ground truth image
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j=strmatch(ids{i},gtids,'exact');
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if isempty(j)
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error('unrecognized image "%s"',ids{i});
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elseif length(j)>1
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error('multiple image "%s"',ids{i});
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else
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out(j)=confidence(i);
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end
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end
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% compute precision/recall
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[so,si]=sort(-out);
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tp=gt(si)>0;
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fp=gt(si)<0;
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fp=cumsum(fp);
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tp=cumsum(tp);
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rec=tp/sum(gt>0);
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prec=tp./(fp+tp);
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% compute average precision
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ap=0;
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for t=0:0.1:1
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p=max(prec(rec>=t));
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if isempty(p)
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p=0;
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end
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ap=ap+p/11;
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end
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if draw
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% plot precision/recall
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plot(rec,prec,'-');
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grid;
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xlabel 'recall'
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ylabel 'precision'
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title(sprintf('class: %s, subset: %s, AP = %.3f',cls,VOCopts.testset,ap));
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end

‎data/VOCdevkit2007/VOCcode/VOCevaldet.m‎

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function [rec,prec,ap] = VOCevaldet(VOCopts,id,cls,draw)
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% load test set
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[gtids,t]=textread(sprintf(VOCopts.imgsetpath,VOCopts.testset),'%s %d');
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% load ground truth objects
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tic;
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npos=0;
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gt(length(gtids))=struct('BB',[],'diff',[],'det',[]);
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for i=1:length(gtids)
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% display progress
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if toc>1
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fprintf('%s: pr: load: %d/%d\n',cls,i,length(gtids));
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drawnow;
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tic;
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end
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% read annotation
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rec=PASreadrecord(sprintf(VOCopts.annopath,gtids{i}));
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% extract objects of class
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clsinds=strmatch(cls,{rec.objects(:).class},'exact');
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gt(i).BB=cat(1,rec.objects(clsinds).bbox)';
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gt(i).diff=[rec.objects(clsinds).difficult];
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gt(i).det=false(length(clsinds),1);
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npos=npos+sum(~gt(i).diff);
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end
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% load results
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[ids,confidence,b1,b2,b3,b4]=textread(sprintf(VOCopts.detrespath,id,cls),'%s %f %f %f %f %f');
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BB=[b1 b2 b3 b4]';
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% sort detections by decreasing confidence
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[sc,si]=sort(-confidence);
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ids=ids(si);
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BB=BB(:,si);
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% assign detections to ground truth objects
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nd=length(confidence);
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tp=zeros(nd,1);
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fp=zeros(nd,1);
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tic;
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for d=1:nd
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% display progress
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if toc>1
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fprintf('%s: pr: compute: %d/%d\n',cls,d,nd);
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drawnow;
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tic;
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end
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% find ground truth image
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i=strmatch(ids{d},gtids,'exact');
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if isempty(i)
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error('unrecognized image "%s"',ids{d});
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elseif length(i)>1
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error('multiple image "%s"',ids{d});
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end
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% assign detection to ground truth object if any
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bb=BB(:,d);
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ovmax=-inf;
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for j=1:size(gt(i).BB,2)
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bbgt=gt(i).BB(:,j);
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bi=[max(bb(1),bbgt(1)) ; max(bb(2),bbgt(2)) ; min(bb(3),bbgt(3)) ; min(bb(4),bbgt(4))];
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iw=bi(3)-bi(1)+1;
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ih=bi(4)-bi(2)+1;
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if iw>0 & ih>0
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% compute overlap as area of intersection / area of union
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ua=(bb(3)-bb(1)+1)*(bb(4)-bb(2)+1)+...
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(bbgt(3)-bbgt(1)+1)*(bbgt(4)-bbgt(2)+1)-...
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iw*ih;
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ov=iw*ih/ua;
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if ov>ovmax
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ovmax=ov;
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jmax=j;
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end
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end
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end
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% assign detection as true positive/don't care/false positive
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if ovmax>=VOCopts.minoverlap
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if ~gt(i).diff(jmax)
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if ~gt(i).det(jmax)
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tp(d)=1; % true positive
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gt(i).det(jmax)=true;
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else
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fp(d)=1; % false positive (multiple detection)
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end
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end
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else
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fp(d)=1; % false positive
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end
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end
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% compute precision/recall
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fp=cumsum(fp);
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tp=cumsum(tp);
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rec=tp/npos;
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prec=tp./(fp+tp);
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% compute average precision
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ap=0;
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for t=0:0.1:1
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p=max(prec(rec>=t));
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if isempty(p)
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p=0;
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end
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ap=ap+p/11;
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end
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if draw
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% plot precision/recall
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plot(rec,prec,'-');
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grid;
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xlabel 'recall'
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ylabel 'precision'
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title(sprintf('class: %s, subset: %s, AP = %.3f',cls,VOCopts.testset,ap));
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end

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