techkuz / plates_recognition

1. Install tesseract(v4) https://github.com/tesseract-ocr/tesseract
2. Install opencv https://docs.opencv.org/3.4.3/d7/d9f/tutorial_linux_install.html
3. Run python 3.5 virtual environment
4. Install dependencies: $ pip install -r requirements.txt
5. Run script: $ python main.py --folder=path_to_folder --layout=path_to_layout
   E.g. :
   Absolute path: $ python main.py --folder=/home/user/handlr/to_label --layout=/home/user/handlr/P45.json
   Relative path(folder and layout files are in the same folder with script): $ python main.py --folder=to_label --layout=P45.json
6. If you want to try experimental plate recognition to text instead of 5. run: $ python main.py --folder=path_to_folder --layout=path_to_layout --plate_text=True
7. Go to the new labeled folder

P.S. For demonstration purposes you can go and see results I got on my PC in demo_results folder