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This project forked from npinto/labelme
README.txt <[email protected]> <[email protected]> Created: 01/19/2006 Updated: 07/01/2009 Here you will find the source code to install the LabelMe annotation tool on your server. LabelMe is an annotation tool writen in Javascript for online image labeling. The advantage with respect to traditional image annotation tools is that you can access the tool from anywhere and people can help you to annotate your images without having to install or copy a large dataset onto their computers. REQUIREMENTS: You will need the following to set up the LabelMe tool on your web server: * Run an Apache server on a Linux system (we have not tested the system on Windows; if you can set this up on Windows, please let us know). * Enable authconfig in Apache so that server side includes (SSI) will work. This will allow SVG drawing capabilities. * Allow perl/CGI scripts to run. INSTALLATION: You will need to make the following directories: 1. Images 2. Annotations 3. TmpAnnotations Insert the images that you wish to label in "Images". The images must be organized into subdirectories (e.g., Images/folder1/*.jpg). Currently, we do not support multiple directory levels. The corresponding subdirectories should also be created in the Annotations folder. Set the images to have read permissions on your web server and folders in the "Annotations" folder to have write permissions. Also, "TmpAnnotations" needs to have write permissions. Modify the "Makefile" variables "IMAGES_DIR" and "ANNOTATIONS_DIR" to point to the above directories. Now, run "make". This will set up LabelMe. To use the tool, open in your browser: http://yourserver.edu/tool.html If you are not able to draw polygons, check to see if the page is loaded as an "application/xhtml+xml" page (you can see this in Firefox by navigating to Tools->Page Info). If it is not, be sure that SSI are enabled (see above for enabling authconfig in Apache). CITATION: B. C. Russell, A. Torralba, K. P. Murphy, W. T. Freeman, LabelMe: a database and web-based tool for image annotation. MIT AI Lab Memo AIM-2005-025, September, 2005. (c) 2005, MIT Computer Science and Artificial Intelligence Laboratory With contributions from Samuel Davies, Erica Cooper, Juventino Mejia
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