Sem descrição

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

README.md

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.