• python 3.6
• cv2
• tkinter

1. Install all dependencies in label.py (pip3 install Pillow numpy opencv-contrib-python opencv-python)
2. place the source images(with the faces you want to train) in the images-to-process folder
3. Run python3 label.py
4. Label the faces

1. When the program is started the first image of the image-to-process folder to analysed to get the faces in the image.
2. Label the faces by entering the names in the textbox under the faces in the Detected Faces panel.
3. Click on next to save the labeled faces to training-data and load the next image.
4. The program closes if there are no images left in the images-to-process folder.

MIT