labelme: Image Polygonal Annotation with Python =============================================== [![PyPI Version](https://img.shields.io/pypi/v/labelme.svg)](https://pypi.python.org/pypi/labelme) [![Travis Build Status](https://travis-ci.org/wkentaro/labelme.svg?branch=master)](https://travis-ci.org/wkentaro/labelme) [![Docker Build Status](https://img.shields.io/docker/build/wkentaro/labelme.svg)](https://hub.docker.com/r/wkentaro/labelme) Labelme is a graphical image annotation tool inspired by . 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) Installation ------------ There are options: - Platform agonistic installation: Anaconda, Docker - Platform specific installation: Ubuntu, macOS **Anaconda** You need install [Anaconda](https://www.continuum.io/downloads), then run below: ```bash # python2 conda create --name=labelme python=2.7 source activate labelme conda install pyqt pip install labelme # python3 conda create --name=labelme python=3.6 source activate labelme # conda install pyqt pip install pyqt5 # pyqt5 can be installed via pip on python3 pip install labelme ``` **Docker** You need install [docker](https://www.docker.com), then 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 examples/single_image/apc2016_obj3.jpg -O examples/single_image/apc2016_obj3.json labelme_on_docker examples/semantic_segmentation/data_annotated ``` **Ubuntu** ```bash # Ubuntu 14.04 / Ubuntu 16.04 # Python2 # sudo apt-get install python-qt4 pyqt4-dev-tools # PyQt4 sudo apt-get install python-pyqt5 pyqt5-dev-tools # PyQt5 sudo pip install labelme # Python3 sudo apt-get install python3-pyqt5 pyqt5-dev-tools # PyQt5 sudo pip3 install labelme ``` **macOS** ```bash # macOS Sierra brew install pyqt # maybe pyqt5 pip install labelme # both python2/3 should work ``` Usage ----- Run `labelme --help` for detail. The annotations are saved as a [JSON](http://www.json.org/) file. ```bash labelme # just open gui # single image example cd examples/single_image labelme apc2016_obj3.jpg # specify image file labelme apc2016_obj3.jpg -O apc2016_obj3.json # close window after the save labelme apc2016_obj3.jpg --nodata # not include image data but relative image path in JSON file labelme apc2016_obj3.jpg \ --labels highland_6539_self_stick_notes,mead_index_cards,kong_air_dog_squeakair_tennis_ball # specify label list # semantic segmentation example cd examples/semantic_segmentation labelme data_annotated/ # Open directory to annotate all images in it labelme data_annotated/ --labels labels.txt # specify label list with a file ``` For more advanced usage, please refer to the examples: * [Single Image Example](examples/single_image) * [Semantic Segmentation Example](examples/semantic_segmentation) * [Instance Segmentation Example](examples/instance_segmentation) Screencast ---------- Acknowledgement --------------- This repo is the fork of [mpitid/pylabelme](https://github.com/mpitid/pylabelme), whose development has already stopped.