greenhouse/README.md

# LabelImg

LabelImg is a graphical image annotation tool

It is written in Python and uses Qt for its graphical interface.

The annotation file will be saved as a XML file. The annotation format is PASCAL VOC format, and the format is the same as [ImageNet](http://www.image-net.org/)

![](icons/demo.png)

## Dependencies
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).

In order to build the resource and assets, you need to install python-qt4 python-qt4-dev pyqt4-dev-tools ...

## Usage
After cloning the code, you should run `make` to generate the resource file.

You can then start annotating by running `./labelImg.py`. For usage
instructions you can see [Here](https://youtu.be/p0nR2YsCY_U)

At the moment annotations are saved as a XML file. The format is Piscal VOC format, and the format is the same as [ImageNet](http://www.image-net.org/)

You can also see [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc
First commit 2015-09-17 10:37:20 +08:00			`# LabelImg`

			`LabelImg is a graphical image annotation tool`

			`It is written in Python and uses Qt for its graphical interface.`

Typo 2015-09-17 14:50:58 +08:00			`The annotation file will be saved as a XML file. The annotation format is PASCAL VOC format, and the format is the same as [ImageNet](http://www.image-net.org/)`
First commit 2015-09-17 10:37:20 +08:00
Add demo.png 2015-09-18 19:29:51 +08:00			`![](icons/demo.png)`

First commit 2015-09-17 10:37:20 +08:00			`## Dependencies`
			`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).`

			`In order to build the resource and assets, you need to install python-qt4 python-qt4-dev pyqt4-dev-tools ...`

			`## Usage`
			After cloning the code, you should run `make` to generate the resource file.

			You can then start annotating by running `./labelImg.py`. For usage
Add video demo link 2015-09-17 10:42:52 +08:00			`instructions you can see [Here](https://youtu.be/p0nR2YsCY_U)`
First commit 2015-09-17 10:37:20 +08:00
			`At the moment annotations are saved as a XML file. The format is Piscal VOC format, and the format is the same as [ImageNet](http://www.image-net.org/)`

Add video demo link 2015-09-17 10:42:52 +08:00			`You can also see [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc`
First commit 2015-09-17 10:37:20 +08:00