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# LabelImg LabelImg
========
[![Build Status](https://travis-ci.org/tzutalin/labelImg.png)](https://travis-ci.org/tzutalin/labelImg) .. image:: https://img.shields.io/pypi/v/labelimg.svg
:target: https://pypi.python.org/pypi/labelimg
.. image:: https://img.shields.io/travis/tzutalin/labelImg.svg
:target: https://travis-ci.org/tzutalin/labelImg
LabelImg is a graphical image annotation tool. LabelImg is a graphical image annotation tool.
It is written in Python and uses Qt for its graphical interface. It is written in Python and uses Qt for its graphical interface.
Annotations are saved as XML files in PASCAL VOC format, the format used by [ImageNet](http://www.image-net.org/). Annotations are saved as XML files in PASCAL VOC format, the format used
by `ImageNet <http://www.image-net.org/>`__.
![](demo/demo3.jpg) .. image:: https://raw.githubusercontent.com/tzutalin/labelImg/master/demo/demo3.jpg
:alt: Demo Image
[Watch a demo video by author tzutalin](https://youtu.be/p0nR2YsCY_U) `Watch a demo video by author tzutalin <https://youtu.be/p0nR2YsCY_U>`__
## Get it Installation
------------------
### Download prebuilt binaries Download prebuilt binaries
~~~~~~~~~~~~~~~~~~~~~~~~~~
* [Windows & Linux](http://tzutalin.github.io/labelImg/) - `Windows & Linux <http://tzutalin.github.io/labelImg/>`__
* OS X - OS X
* Binaries for OS X are not yet available. Help would be appreciated. At present it must be [built from source](#os-x). - Binaries for OS X are not yet available. Help would be appreciated. At present, it must be `built from source <#os-x>`__.
### Build from source Build from source
~~~~~~~~~~~~~~~~~
Linux/Ubuntu/Mac requires at least [Python 2.6](http://www.python.org/getit/) and has been tested with [PyQt Linux/Ubuntu/Mac requires at least `Python
4.8](http://www.riverbankcomputing.co.uk/software/pyqt/intro). 2.6 <http://www.python.org/getit/>`__ and has been tested with `PyQt
4.8 <http://www.riverbankcomputing.co.uk/software/pyqt/intro>`__.
#### Ubuntu Linux Ubuntu Linux
^^^^^^^^^^^^
.. code::
sudo apt-get install pyqt4-dev-tools sudo apt-get install pyqt4-dev-tools
sudo pip install lxml sudo pip install lxml
make all make all
./labelImg.py ./labelImg.py
#### OS X OS X
^^^^
.. code::
brew install qt qt4 brew install qt qt4
brew install libxml2 brew install libxml2
make all make all
./labelImg.py ./labelImg.py
#### Windows Windows
^^^^^^^
Download and setup [Python 2.6 or later](https://www.python.org/downloads/windows/), [PyQt4](https://www.riverbankcomputing.com/software/pyqt/download) and [install lxml](http://lxml.de/installation.html). Download and setup `Python 2.6 or
later <https://www.python.org/downloads/windows/>`__,
`PyQt4 <https://www.riverbankcomputing.com/software/pyqt/download>`__
and `install lxml <http://lxml.de/installation.html>`__.
Open cmd and go to [labelImg] Open cmd and go to `labelImg <#labelimg>`__ directory
.. code::
pyrcc4 -o resources.py resources.qrc pyrcc4 -o resources.py resources.qrc
python labelImg.py python labelImg.py
Usage
-----
## Usage Steps
~~~~~
### Steps
1. Build and launch using the instructions above. 1. Build and launch using the instructions above.
2. Click 'Change default saved annotation folder' in Menu/File 2. Click 'Change default saved annotation folder' in Menu/File
3. Click 'Open Dir' 3. Click 'Open Dir'
4. Click 'Create RectBox' 4. Click 'Create RectBox'
5. Click and release left mouse to select a region to annotate the rect box 5. Click and release left mouse to select a region to annotate the rect
box
6. You can use right mouse to drag the rect box to copy or move it 6. You can use right mouse to drag the rect box to copy or move it
The annotation will be saved to the folder you specify. The annotation will be saved to the folder you specify.
You can refer to the below hotkeys to speed up your workflow. You can refer to the below hotkeys to speed up your workflow.
### Create pre-defined classes Create pre-defined classes
~~~~~~~~~~~~~~~~~~~~~~~~~~
You can edit the [data/predefined_classes.txt](https://github.com/tzutalin/labelImg/blob/master/data/predefined_classes.txt) to load pre-defined classes You can edit the
`data/predefined\_classes.txt <https://github.com/tzutalin/labelImg/blob/master/data/predefined_classes.txt>`__
to load pre-defined classes
### Hotkeys Hotkeys
~~~~~~~
| | | +------------+--------------------------------------------+
|----------|------------------------------------------|
| Ctrl + u | Load all of the images from a directory | | Ctrl + u | Load all of the images from a directory |
+------------+--------------------------------------------+
| Ctrl + r | Change the default annotation target dir | | Ctrl + r | Change the default annotation target dir |
+------------+--------------------------------------------+
| Ctrl + s | Save | | Ctrl + s | Save |
+------------+--------------------------------------------+
| Ctrl + d | Copy the current label and rect box | | Ctrl + d | Copy the current label and rect box |
+------------+--------------------------------------------+
| Space | Flag the current image as verified | | Space | Flag the current image as verified |
+------------+--------------------------------------------+
| w | Create a rect box | | w | Create a rect box |
+------------+--------------------------------------------+
| d | Next image | | d | Next image |
+------------+--------------------------------------------+
| a | Previous image | | a | Previous image |
+------------+--------------------------------------------+
| del | Delete the selected rect box | | del | Delete the selected rect box |
+------------+--------------------------------------------+
| Ctrl++ | Zoom in | | Ctrl++ | Zoom in |
+------------+--------------------------------------------+
| Ctrl-- | Zoom out | | Ctrl-- | Zoom out |
+------------+--------------------------------------------+
How to contribute
~~~~~~~~~~~~~~~~~
### How to contribute
Send a pull request Send a pull request
### License License
[License](LICENSE.md) ~~~~~~~
`Free software: MIT license <https://github.com/tzutalin/labelImg/blob/master/LICENSE>`_
### Related
1. [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc
Related
~~~~~~~
1. `ImageNet Utils <https://github.com/tzutalin/ImageNet_Utils>`__ to
download image, create a label text for machine learning, etc
.. |Build Status| image:: https://travis-ci.org/tzutalin/labelImg.png
:target: https://travis-ci.org/tzutalin/labelImg