Metadata-Version: 1.1
Name: labelme
Version: 1.0.1
Summary: Simple Image Annotation Tool.
Home-page: https://github.com/mpitid/pylabelme
Author: mpitid
Author-email: mpitid@gmail.com
License: MIT
Description: # Labelme
        
        Labelme is a graphical image annotation tool inspired by
        http://labelme.csail.mit.edu.
        
        It is written in Python and uses Qt for its graphical interface.
        
        ## Dependencies
        
        Labelme requires at least [Python 2.6](http://www.python.org/getit/) and
        has been tested with [PyQt
        4.8](http://www.riverbankcomputing.co.uk/software/pyqt/intro).
        
        ## Usage
        
        After cloning the code you should first run `make` to generate the
        resource file (a Python module containing all the icons).
        
        You can then start annotating by running `./labelme.py`. For usage
        instructions you can view the screencast tutorial from the `Help` menu.
        
        At the moment annotations are saved as a [JSON](http://www.json.org/) file.
        The file includes the image itself. In the feature support for XML
        output or possibly even [SVG](http://www.w3.org/Graphics/SVG/) will be added.
        
        ## TODO
        
        - Refactor into a Python package.
        - Add installation script.
        
Keywords: Image Annotation,Machine Learning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX
Classifier: Topic :: Internet :: WWW/HTTP
