Sen descrición

Kentaro Wada 958fb3c538 Add samples %!s(int64=9) %!d(string=hai) anos
labelme 9ed8755ee9 Added save and exit mode with --output option %!s(int64=9) %!d(string=hai) anos
scripts 743b522ab5 Add script for drawing json %!s(int64=9) %!d(string=hai) anos
static a95aab76b6 Convert ogv to gif %!s(int64=9) %!d(string=hai) anos
.gitignore 9ba752183c Prepare source to release pypi %!s(int64=9) %!d(string=hai) anos
LICENSE e0f2d45054 Rename COPYING -> LICENSE %!s(int64=9) %!d(string=hai) anos
MANIFEST.in a95aab76b6 Convert ogv to gif %!s(int64=9) %!d(string=hai) anos
README.rst 958fb3c538 Add samples %!s(int64=9) %!d(string=hai) anos
labelme_r c022723b34 Add script for developper friendly %!s(int64=9) %!d(string=hai) anos
setup.py 1cc92a1950 2.0.3 %!s(int64=9) %!d(string=hai) anos

README.rst

labelme: Image Annotation Tool with Python
==========================================

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 `_


Installation
------------

On Ubuntu:

.. code-block:: bash

$ sudo apt-get install python-qt4 qt4-dev-tools

$ sudo pip install labelme


On OS X:

.. code-block:: bash

$ brew install qt qt4

$ pip install labelme


Usage
-----

.. code:: bash

$ labelme # Open GUI

The annotations are saved as a `JSON `_ file.
The file includes the image itself.

To view the json file quickly, you can use utility script:

.. code-block:: bash

$ labelme_draw_json sample.json


Sample
------

- `Original Image `_
- `Screenshot `_
- `Generated Json File `_
- `Visualized Json File `_


Screencast
----------

.. image:: https://github.com/wkentaro/labelme/raw/master/_media/screencast.gif
:width: 80%