Metadata-Version: 1.1
Name: labelme
Version: 2.3.1
Summary: Simple Image Annotation Tool.
Home-page: https://github.com/mpitid/pylabelme
Author: Kentaro Wada
Author-email: www.kentaro.wada@gmail.com
License: GPLv3
Description: labelme: Image Annotation Tool with Python
        ==========================================
        
        [![Build Status](https://travis-ci.org/wkentaro/labelme.svg?branch=master)](https://travis-ci.org/wkentaro/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
        ------------
        
        - [PyQt4](http://www.riverbankcomputing.co.uk/software/pyqt/intro)
        
        
        Installation
        ------------
        
        **Docker**
        
        You need install [docker](https://www.docker.com), then just run below:
        
        ```bash
        wget https://raw.githubusercontent.com/wkentaro/labelme/master/scripts/labelme_on_docker
        chmod u+x labelme_on_docker
        
        # Maybe you need http://sourabhbajaj.com/blog/2017/02/07/gui-applications-docker-mac/ on macOS
        ./labelme_on_docker _static/IMG_6319.jpg -O _static/IMG_6319.json
        ```
        
        **Ubuntu**
        
        ```bash
        sudo apt-get install python-qt4 pyqt4-dev-tools
        
        sudo pip install labelme
        ```
        
        **OS X**
        
        ```bash
        brew install qt qt4
        
        pip install labelme
        ```
        
        **macOS Sierra**
        
        ```bash
        brew install pyqt5
        
        pip install git+https://github.com/wkentaro/labelme.git@pyqt5
        ```
        
        
        Usage
        -----
        
        **Annotation**
        
        Run `labelme --help` for detail.
        
        ```bash
        labelme  # Open GUI
        labelme _static/IMG_6319.jpg  # Specify file
        labelme _static/IMG_6319.jpg -O _static/IMG_6319.json  # Close window after the save
        ```
        
        The annotations are saved as a [JSON](http://www.json.org/) file. The
        file includes the image itself.
        
        **Visualization**
        
        To view the json file quickly, you can use utility script:
        
        ```bash
        labelme_draw_json _static/IMG_6319.json
        ```
        
        **Convert to Dataset**
        
        To convert the json to set of image and label, you can run following:
        
        
        ```bash
        labelme_json_to_dataset _static/IMG_6319.json
        ```
        
        
        Sample
        ------
        
        - [Original Image](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319.jpg)
        - [Screenshot](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319_screenshot.png)
        - [Generated Json File](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319.json)
        - [Visualized Json File](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319_draw_json.png)
        
        
        Screencast
        ----------
        
        <img src="https://github.com/wkentaro/labelme/raw/master/_static/screencast.gif" width="70%"/>
        
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
