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Koks: cbbff62e7e
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labelmeWithAI
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Michael Pitidis cbbff62e7e Add usage tips 13 gadi atpakaļ
icons 50bdb49d92 Add latest icons 13 gadi atpakaļ
.gitignore 2dffe04535 Refactor image code to use resource files 13 gadi atpakaļ
COPYING 0b472517c1 Add GPL v3 license and headers 13 gadi atpakaļ
Makefile 2dffe04535 Refactor image code to use resource files 13 gadi atpakaļ
README.md cbbff62e7e Add usage tips 13 gadi atpakaļ
canvas.py 0b472517c1 Add GPL v3 license and headers 13 gadi atpakaļ
colorDialog.py 0b472517c1 Add GPL v3 license and headers 13 gadi atpakaļ
labelDialog.py 0b472517c1 Add GPL v3 license and headers 13 gadi atpakaļ
labelFile.py 0b472517c1 Add GPL v3 license and headers 13 gadi atpakaļ
labelme.py 0b472517c1 Add GPL v3 license and headers 13 gadi atpakaļ
lib.py 0b472517c1 Add GPL v3 license and headers 13 gadi atpakaļ
resources.qrc 92096a6124 Switch to PNG files 13 gadi atpakaļ
shape.py 0b472517c1 Add GPL v3 license and headers 13 gadi atpakaļ
test.py 572689ad15 Initial commit 13 gadi atpakaļ
toolBar.py 0b472517c1 Add GPL v3 license and headers 13 gadi atpakaļ
zoomWidget.py 0b472517c1 Add GPL v3 license and headers 13 gadi atpakaļ

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 can start annotating by running ./labelme.py. For usage help 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.