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Michael Pitidis fc8fecd81f Update usage instructions, add links		13 жил өмнө
icons	50bdb49d92 Add latest icons	13 жил өмнө
.gitignore	2dffe04535 Refactor image code to use resource files	13 жил өмнө
COPYING	0b472517c1 Add GPL v3 license and headers	13 жил өмнө
Makefile	2dffe04535 Refactor image code to use resource files	13 жил өмнө
README.md	fc8fecd81f Update usage instructions, add links	13 жил өмнө
canvas.py	0b472517c1 Add GPL v3 license and headers	13 жил өмнө
colorDialog.py	0b472517c1 Add GPL v3 license and headers	13 жил өмнө
labelDialog.py	0b472517c1 Add GPL v3 license and headers	13 жил өмнө
labelFile.py	0b472517c1 Add GPL v3 license and headers	13 жил өмнө
labelme.py	0b472517c1 Add GPL v3 license and headers	13 жил өмнө
lib.py	0b472517c1 Add GPL v3 license and headers	13 жил өмнө
resources.qrc	92096a6124 Switch to PNG files	13 жил өмнө
shape.py	0b472517c1 Add GPL v3 license and headers	13 жил өмнө
test.py	572689ad15 Initial commit	13 жил өмнө
toolBar.py	0b472517c1 Add GPL v3 license and headers	13 жил өмнө
zoomWidget.py	0b472517c1 Add GPL v3 license and headers	13 жил өмнө

Labelme

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

Labelme requires at least Python 2.6 and has been tested with PyQt 4.8.

Usage

After cloning the code you should first run make to generate the resource file (a Python module containing all the icons).

You can then start annotating by running ./labelme.py. For usage instructions you can view the screencast tutorial from the Help menu.

At the moment annotations are saved as a JSON file. The file includes the image itself. In the feature support for XML output or possibly even SVG will be added.

TODO

Refactor into a Python package.
Add installation script.

README.md

Labelme

Dependencies

Usage

TODO