Baseline: https://travis-ci.org/tzutalin/labelImg
It is written in Python and uses Qt for its graphical interface.
Annotations are saved as XML files in PASCAL VOC format, the format used by ImageNet.
Linux/Ubuntu/Mac requires at least Python 2.6 and has been tested with PyQt 4.8.
Python 2 + Qt4
sudo apt-get install pyqt4-dev-tools sudo pip install lxml make qt4py2 python labelImg.py python labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]
Python 3 + Qt5
sudo apt-get install pyqt5-dev-tools sudo pip3 install lxml make qt5py3 python3 labelImg.py python3 labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]
Python 2 + Qt4
brew install qt qt4 brew install libxml2 make qt4py2 python labelImg.py python labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]
- Build and launch using the instructions above.
- Click 'Change default saved annotation folder' in Menu/File
- Click 'Open Dir'
- Click 'Create RectBox'
- Click and release left mouse to select a square region to annotate the square box
- You can use right mouse to drag the square box to copy or move it
The annotation and atttributes of faces will be saved to the folder you specify.
You can refer to the below hotkeys to speed up your workflow.
F | Add a new boundingBox |
Ctrl + u | Load all of the images from a directory |
Ctrl + r | Change the default annotation target dir |
Ctrl + s | Save |
Ctrl + d | Copy the current label and rect box |
Space | Flag the current image as verified |
w | Create a rect box |
d | Next image |
a | Previous image |
del | Delete the selected rect box |
Ctrl++ | Zoom in |
Ctrl-- | Zoom out |
↑→↓← | Keyboard arrows to move selected rect box |