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%!s(int64=8) %!d(string=hai) anos | |
|---|---|---|
| labelme | %!s(int64=8) %!d(string=hai) anos | |
| scripts | %!s(int64=8) %!d(string=hai) anos | |
| static | %!s(int64=9) %!d(string=hai) anos | |
| .gitignore | %!s(int64=9) %!d(string=hai) anos | |
| LICENSE | %!s(int64=9) %!d(string=hai) anos | |
| MANIFEST.in | %!s(int64=9) %!d(string=hai) anos | |
| README.md | %!s(int64=8) %!d(string=hai) anos | |
| setup.py | %!s(int64=8) %!d(string=hai) anos |
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.
On Ubuntu:
$ sudo apt-get install python-qt4 qt4-dev-tools
$ sudo pip install labelme
On OS X:
$ brew install qt qt4
$ pip install labelme
Annotation
$ labelme # Open GUI
The annotations are saved as a JSON file. The file includes the image itself.
Visualization
To view the json file quickly, you can use utility script:
$ labelme_draw_json _static/IMG_6319.json
Convert to Dataset
To convert the json to set of image and label, you can run following:
$ labelme_json_to_dataset _static/IMG_6319.json
