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前往新版Gitcode,体验更适合开发者的 AI 搜索 >>
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8bdd10e4
编写于
5月 11, 2016
作者:
K
Kentaro Wada
浏览文件
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电子邮件补丁
差异文件
rst to md
上级
a764f928
变更
4
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Showing
4 changed file
with
66 addition
and
70 deletion
+66
-70
MANIFEST.in
MANIFEST.in
+1
-1
README.md
README.md
+64
-0
README.rst
README.rst
+0
-68
setup.py
setup.py
+1
-1
未找到文件。
MANIFEST.in
浏览文件 @
8bdd10e4
include README.
rst
include README.
md
README.md
0 → 100644
浏览文件 @
8bdd10e4
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%"
/>
README.rst
已删除
100644 → 0
浏览文件 @
a764f928
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%
setup.py
浏览文件 @
8bdd10e4
...
...
@@ -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'
,
...
...
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