OpenCV and Deep Learning are employed in extracting a sudoku puzzle from images and solving it. The project runs in a Jupyter Notebook Docker container, the Deep Learning model is built, trained and deployed with TensorFlow and the main solver programmed in Python.
The main Jupyter notebook, sudoku_puzzle_extractor.ipynb, and relevant files needed for this project can be run in a Docker container.
First pull the image (with a compressed size of 1.93 GB) from the Docker Hub repository:
docker pull thenoobinventor/sudoku-ai-solver:latest
Then run a container (choose a name for it) based on the image:
docker run -it --rm -p 8890:8890 --name container_name thenoobinventor/sudoku-ai-solver:latest
The documentation for this project can be found here.
OpenCV and Deep Learning are employed in extracting a sudoku puzzle from images and solving it. The project runs in a Jupyter Notebook Docker container, the Deep Learning model is built, trained and deployed with TensorFlow and the main solver programmed in Python.