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labelmeWithAI
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Michael Pitidis cbbff62e7e Add usage tips %!s(int64=13) %!d(string=hai) anos
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.gitignore 2dffe04535 Refactor image code to use resource files %!s(int64=13) %!d(string=hai) anos
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colorDialog.py 0b472517c1 Add GPL v3 license and headers %!s(int64=13) %!d(string=hai) anos
labelDialog.py 0b472517c1 Add GPL v3 license and headers %!s(int64=13) %!d(string=hai) anos
labelFile.py 0b472517c1 Add GPL v3 license and headers %!s(int64=13) %!d(string=hai) anos
labelme.py 0b472517c1 Add GPL v3 license and headers %!s(int64=13) %!d(string=hai) anos
lib.py 0b472517c1 Add GPL v3 license and headers %!s(int64=13) %!d(string=hai) anos
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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.