Simple Image Annotation Tool.
Project description
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 pyqt4-dev-tools
$ sudo pip install labelme
```
On OS X:
```bash
$ brew install qt qt4
$ pip install labelme
```
On macOS Sierra:
```bash
$ brew install pyqt5
$ pip install git+https://github.com/wkentaro/labelme.git@pyqt5
```
Usage
-----
**Annotation**
Run `labelme --help` for detail.
```bash
$ labelme # Open GUI
$ labelme _static/IMG_6319.jpg # Specify file
$ labelme _static/IMG_6319.jpg -O _static/IMG_6319.json # Close window after the save
```
The annotations are saved as a [JSON](http://www.json.org/) file. The
file includes the image itself.
**Visualization**
To view the json file quickly, you can use utility script:
```bash
$ labelme_draw_json _static/IMG_6319.json
```
**Convert to Dataset**
To convert the json to set of image and label, you can run following:
```bash
$ labelme_json_to_dataset _static/IMG_6319.json
```
Sample
------
- [Original Image](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319.jpg)
- [Screenshot](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319_screenshot.png)
- [Generated Json File](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319.json)
- [Visualized Json File](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319_draw_json.png)
Screencast
----------
<img src="https://github.com/wkentaro/labelme/raw/master/_static/screencast.gif" width="70%"/>
==========================================
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 pyqt4-dev-tools
$ sudo pip install labelme
```
On OS X:
```bash
$ brew install qt qt4
$ pip install labelme
```
On macOS Sierra:
```bash
$ brew install pyqt5
$ pip install git+https://github.com/wkentaro/labelme.git@pyqt5
```
Usage
-----
**Annotation**
Run `labelme --help` for detail.
```bash
$ labelme # Open GUI
$ labelme _static/IMG_6319.jpg # Specify file
$ labelme _static/IMG_6319.jpg -O _static/IMG_6319.json # Close window after the save
```
The annotations are saved as a [JSON](http://www.json.org/) file. The
file includes the image itself.
**Visualization**
To view the json file quickly, you can use utility script:
```bash
$ labelme_draw_json _static/IMG_6319.json
```
**Convert to Dataset**
To convert the json to set of image and label, you can run following:
```bash
$ labelme_json_to_dataset _static/IMG_6319.json
```
Sample
------
- [Original Image](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319.jpg)
- [Screenshot](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319_screenshot.png)
- [Generated Json File](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319.json)
- [Visualized Json File](https://github.com/wkentaro/labelme/blob/master/_static/IMG_6319_draw_json.png)
Screencast
----------
<img src="https://github.com/wkentaro/labelme/raw/master/_static/screencast.gif" width="70%"/>
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