Metadata-Version: 1.1
Name: labelImg
Version: 1.2.3
Summary: LabelImg is a graphical image annotation tool and label object bounding boxes in images
Home-page: https://github.com/tzutalin/labelImg
Author: TzuTa Lin
Author-email: tzu.ta.lin@gmail.com
License: MIT license
Description: # LabelImg
        
        [![Build Status](https://travis-ci.org/tzutalin/labelImg.png)](https://travis-ci.org/tzutalin/labelImg)
        
        LabelImg is a graphical image annotation tool.
        
        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/).
        
        ![](demo/demo3.jpg)
        
        [Watch a demo video by author tzutalin](https://youtu.be/p0nR2YsCY_U)
        
        ## Get it
        
        ### Download prebuilt binaries
        
        * [Windows & Linux](http://tzutalin.github.io/labelImg/)
        
        * 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
        
        Linux/Ubuntu/Mac requires at least [Python 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
        
            sudo apt-get install pyqt4-dev-tools
            sudo pip install lxml
            make all
            ./labelImg.py
        
        #### OS X
        
            brew install qt qt4
            brew install libxml2
            make all
            ./labelImg.py
        
        #### 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).
        
        Open cmd and go to [labelImg]
        
            pyrcc4 -o resources.py resources.qrc
            python labelImg.py
        
        
        ## Usage
        
        ### Steps
        
        1. Build and launch using the instructions above.
        2. Click 'Change default saved annotation folder' in Menu/File
        3. Click 'Open Dir'
        4. Click 'Create RectBox'
        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
        
        The annotation will be saved to the folder you specify.
        
        You can refer to the below hotkeys to speed up your workflow.
        
        ### 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
        
        ### Hotkeys
        
        |          |                                          |
        |----------|------------------------------------------|
        | Ctrl + u | Load all of the images from a directory  |
        | Ctrl + r | Change the default annotation target dir |
        | Ctrl + s | Save                                     |
        | Ctrl + d | Copy the current label and rect box      |
        | Space    | Flag the current image as verified       |
        | w        | Create a rect box                        |
        | d        | Next image                               |
        | a        | Previous image                           |
        | del      | Delete the selected rect box             |
        | Ctrl++   | Zoom in                                  |
        | Ctrl--   | Zoom out                                 |
        
        ### How to contribute
        Send a pull request
        
        ### License
        [License](LICENSE.md)
        
        ### Related
        1. [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc
        
        
        
        =======
        History
        =======
        
        1.2.3 (2017-04-22)
        ------------------
        
        * Fix issues
        
        1.2.2 (2017-01-09)
        ------------------
        
        * Fix issues
        
Keywords: labelImg
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
