Implementation of a QR reader for the subject DIP (Digital Image Processing) belonging to the Electronics Engineering degree (National University of Rosario). It is based on view techniques in the chair. It was used:
- Python 3
- OpenCV
- Numpy
- Pyzbar
We decode the information from the pyzbar library
Use the package manager pip3 to install the libraries.
Clone this repository, then use "./QRScanner -h" for help
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.