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