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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% MATLAB Toolbox for LabelMe Image Database
% Release January 1, 2007
%
% If you use this toolbox, we only ask you to contribute to the database,
% from time to time, by using the labeling tool.
%
% We will appreciate if you cite our paper:
%
% LabelMe: a database and web-based tool for image annotation
% B. Russell, A. Torralba, K. Murphy, W. T. Freeman
% International Journal of Computer Vision, pages 157-173, Volume 77,
% Numbers 1-3, May, 2008.
%
% LabelMe is a WEB-based image annotation tool:
% http://people.csail.mit.edu/brussell/research/LabelMe/intro.html
% This tool allows researchers to label images and share the annotations with
% the rest of the community.
%
% (c) Antonio Torralba, Bryan Russell, William T. Freeman, 2005.
% -------------------------------------------------------------------------
%
% Introduction
% demo - contains examples of how to use several functions
%
% LabelMe tools for reading and ploting the annotations of individual files
% LMread - reads one image and the corresponding annotation XML file
% LMplot - image and polygons visualization
%
% LabelMe Database tools
% LMdatabase - loads all the annotations into a big database struct
% LMdbshowscenes - shows thumbnails for the all the images in the database. Combined with query can show images with only certain objects.
% LMdbshowobjects - shows crops of the objects in the database.
% LMobjectnames - returns a list with the name of all the objects in the database
% LMobjectindex - retuns the indices of an object class within the annotation struct
% LMvalidobjects
%
% Search tools
% LMquery - performs a query on the database using any field
% LMquerypolygon - search for objects using shape matching
% qLabelme - search using the online search tool (it does not use the local index)
%
% Object stats
% LMstats - general LabelMe stats
% LMobjectstats
% LMcountobject - counts the number of instances of an object class in every image
% objectareas
% aspectratio
%
% Synonyms
% LMreplaceobjectname - replaces object names
%
% WORDNET
% demoWordnet - examples
% LMaddwordnet - adds to the object names, synonyms from wordnet.
% showTree - shows the hierarchycal wordnet tree.
% wordnetGUI
% removestopwords - removes common words from object description
% getWordnetSense - returns Wordnet sense
% findsenses - suggest possible different meanings of a query.
%
% Object parts
% suggestparts - propose part candidates for an object
% addparts
% LMshowobjectparts
%
% Depth and 3D tools
% LMsortlayers - returns relative depth ordering between overlaping polygons
%
% Image manipulation
% LMimscale - scales the image and the corresponding annotation
% LMimcrop - crops the image and the corresponding annotation
% LMimpad - pads an image with PADVAL and modifies the annotation
%
% Objects, polygons and segmentation
% LMobjectpolygon - returns all the polygons for an object class within an image
% LMobjectmask - returns the segmentation mask for all object instances of one class within an image
% LMobjectboundingbox - returns bounding boxes
% LMobjectsinsideimage- removes polygons outside the image boundary
% LMobjectcrop - crops one selected object
% LMobjectnormalizedcrop - crops one image into a normalized frame (as we
% need for training detectors)
%
% Creation of training and test images and databases
% LMcookimage - reformat an image and annotation to fit certain requirements.
% LMcookdatabase - create tuned databases (you can control the difficulty, the object size, ...)
%
% Communication with online annotation tool
% LMphotoalbum - creates a web page with thumbnails and connected to LabelMe online
% LMthumbnailsbar - creates a bar of thumbnails connected to LabelMe online
%
% Install and update images and annotations
% LMinstall - installs the database
% LMupdate - authomatic update of the annotations for specific files
% LMprogressiveinstall- will update the local images with only the new images,
% and also download all of the annotations
%
% Translation from/to other formats
% PAS2LM - Translates PASCAL format to LabelMe
% LM2OpenCV - will output a query in format usable for OpenCV Haar
% caltech2LM - Translates the 101 Caltech dataset (with polygons) into LabelMe format
%
% Object detection
% LMrecallPrecision - Precision-recall curve
%
% XML tools (translates the XML files into MATLAB struct arrays):
% writeXML - translates a struct array into a XML file.
% loadXML - read XML file
% drawXML - shows the image and plots the polygons
% xml2struct - translates a XML string into a matlab struct
% struct2xml - translates a matlab struct into a XML string
%
% Web tools
% urldir - like 'dir' but takes as argument a web address
% LMgetfolderlist - will return the list of folders from the online database
%
% Thumbnails: these two functions generate the thumbnails for scenes and
% objects shown in the LabelMe webpage
% LMsceneThumbnail
% LMobjectThumbnail
%
% Utility functions
% parseparameters
% colorSegments
% subplottight - like 'subplot' but removes spacing between axes
% parseContent
% findobject
% countpolygons
% getLMpolygon
% addsmallobjectlabel - useful to remove small objects from the annotations
% arrangefigs - organizes all the open figures in the screen
% segment2polygon
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% OBJECT RECOGNITION AND SCENE UNDERSTANDING functions
%
% Gist
% demoGist - demo script
% LMgist - computes the gist for a set of images
% showGist - visualization gist features for a set of images
%
% Dense SIFT
% demoSIFT - demo script
% LMdenseSIFT - computes SIFT descriptors for a set of images on a dense grid
% showColorSIFT - visualization of dense SIFT descriptors using a color code
%
% Visual words
% demoVisualWords
% LMkmeansVisualWords
% LMdenseVisualWords
%
% Utility functions
% segment2polygon - takes a segments and extracts a polygon
% folder2class - the class is an index to the folder name
% precisionRecall - computes precision-recall curves
%
% Ground truth for image similarity
% LMobjhistintersection - uses the object labels to measure image similarity
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% To see more examples of how to use some of these functions, visit the FAQ
% page:
%
% http://labelme.csail.mit.edu/faq.html
%
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