This is an Optical Mark Recognition (OMR) software system developed using C++ and QT. The project focuses on efficient and high-performance data processing using multi-threading. It leverages the OpenCV library for image processing and SQLite for data management. The application is cross-platform compatible thanks to QT.
- QT
- C++
- OpenCV version 2
- SQLite
- Mingw-32 (for Windows users)
Follow the steps in the link to set up QT and OpenCV on Windows. This will guide you on how to compile OpenCV using Mingw-32.
You can use your default package manager to install the dependencies.
After installing all the prerequisites, compile and run the application. The steps for this will depend on your development environment.
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
This project is licensed under the MIT License - see the LICENSE.md file for details