提交 8bdd10e4 编写于 作者: K Kentaro Wada

rst to md

上级 a764f928
include README.rst
include README.md
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](http://www.riverbankcomputing.co.uk/software/pyqt/intro)
Installation
------------
On Ubuntu:
```bash
$ sudo apt-get install python-qt4 qt4-dev-tools
$ sudo pip install labelme
```
On OS X:
```bash
$ brew install qt qt4
$ pip install labelme
```
Usage
-----
```bash
$ labelme # Open GUI
```
The annotations are saved as a [JSON](http://www.json.org/) file. The
file includes the image itself.
To view the json file quickly, you can use utility script:
```bash
$ labelme_draw_json sample.json
```
Sample
------
- [Original Image](https://github.com/wkentaro/labelme/blob/master/_media/IMG_6319.jpg)
- [Screenshot](https://github.com/wkentaro/labelme/blob/master/_media/IMG_6319_screenshot.png)
- [Generated Json File](https://github.com/wkentaro/labelme/blob/master/_media/IMG_6319.json)
- [Visualized Json File](https://github.com/wkentaro/labelme/blob/master/_media/IMG_6319_draw_json.png)
Screencast
----------
<img src="https://github.com/wkentaro/labelme/raw/master/_media/screencast.gif" width="70%"/>
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 <http://www.riverbankcomputing.co.uk/software/pyqt/intro>`_
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 <http://www.json.org/>`_ 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 <https://github.com/wkentaro/labelme/blob/master/_media/IMG_6319.jpg>`_
- `Screenshot <https://github.com/wkentaro/labelme/blob/master/_media/IMG_6319_screenshot.png>`_
- `Generated Json File <https://github.com/wkentaro/labelme/blob/master/_media/IMG_6319.json>`_
- `Visualized Json File <https://github.com/wkentaro/labelme/blob/master/_media/IMG_6319_draw_json.png>`_
Screencast
----------
.. image:: https://github.com/wkentaro/labelme/raw/master/_media/screencast.gif
:width: 80%
......@@ -51,7 +51,7 @@ setup(
packages=find_packages(),
cmdclass={'build_py': LabelmeBuildPyCommand},
description='Simple Image Annotation Tool.',
long_description=open('README.rst').read(),
long_description=open('README.md').read(),
author='Kentaro Wada',
author_email='www.kentaro.wada@gmail.com',
url='https://github.com/mpitid/pylabelme',
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册