Metadata-Version: 2.1
Name: labelmex
Version: 1.0.3
Summary: Image Polygonal Annotation with Python
Home-page: https://github.com/jjpanda/labelmeX
Author: JJ Pan
Author-email: pjunjie@gmail.com
License: GPLv3
Description: LabelmeX is a graphical image annotation tool inspired by <http://labelme.csail.mit.edu>.  
        LabelmeX is able perform auto-annotation by specifying the model web service.
        It is written in Python and uses Qt for its graphical interface.
        
        ## Requirements
        
        - Ubuntu / macOS / Windows
        - Python2 / Python3
        - [PyQt4 / PyQt5](http://www.riverbankcomputing.co.uk/software/pyqt/intro) / [PySide2](https://wiki.qt.io/PySide2_GettingStarted)
        
        
        ## Installation
        
        There are options:
        
        - Platform agonistic installation: [Anaconda](https://github.com/jjpan/labelmex/blob/master/#anaconda), [Docker](https://github.com/jjpan/labelmex/blob/master/#docker)
        - Platform specific installation: [Ubuntu](https://github.com/jjpan/labelmex/blob/master/#ubuntu), [macOS](https://github.com/jjpan/labelmex/blob/master/#macos), [Windows](https://github.com/jjpan/labelmex/blob/master/#windows)
        
        ### Anaconda
        
        You need install [Anaconda](https://www.continuum.io/downloads), then run below:
        
        ```bash
        # python2
        conda create --name=labelmex python=2.7
        source activate labelmex
        # conda install -c conda-forge pyside2
        conda install pyqt
        pip install labelmex
        # if you'd like to use the latest version. run below:
        # pip install git+https://github.com/wkentaro/labelme.git
        
        # python3
        conda create --name=labelmex python=3.6
        source activate labelmex
        # conda install -c conda-forge pyside2
        # conda install pyqt
        # pip install pyqt5  # pyqt5 can be installed via pip on python3
        pip install labelmex
        # or you can install everything by conda command
        # conda install labelme -c conda-forge
        ```
        
        
        ### Ubuntu
        
        ```bash
        # Ubuntu 14.04 / Ubuntu 16.04
        # Python2
        # sudo apt-get install python-qt4  # PyQt4
        sudo apt-get install python-pyqt5  # PyQt5
        sudo pip install labelmex
        # Python3
        sudo apt-get install python3-pyqt5  # PyQt5
        sudo pip3 install labelmex
        ```
        
        ### Ubuntu 19.10+ / Debian (sid)
        
        ```bash
        sudo apt-get install labelmex
        ```
        
        ### macOS
        
        ```bash
        # macOS Sierra
        brew install pyqt  # maybe pyqt5
        pip install labelmex  # both python2/3 should work
        ```
        
        ### Windows
        
        Install [Anaconda](https://www.continuum.io/downloads), then in an Anaconda Prompt run:
        
        ```bash
        # python3
        conda create --name=labelme python=3.6
        conda activate labelme
        pip install labelme
        ```
        
        ## Usage
        
        Run `labelmex --help` for detail.  
        The annotations are saved as a [JSON](http://www.json.org/) file.
        
        ```bash
        labelmex  # just open gui
        ```
        
        ## Acknowledgement
        
        This repo is the fork of [wkentaro/labelme](https://github.com/wkentaro/labelme),
        whose development is still on-going.
        
        
        ## Cite This Project
        
        If you use this project in your research or wish to refer to the baseline results published in the README, please use the following BibTeX entry.
        
        ```bash
        @misc{labelme2016,
          author =       {Kentaro Wada},
          title =        {{labelme: Image Polygonal Annotation with Python}},
          howpublished = {\url{https://github.com/wkentaro/labelme}},
          year =         {2016}
        }
        ```
Keywords: Image Annotation,Machine Learning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Description-Content-Type: text/markdown
