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Sudoku-Solver-AI
I made a real time Sudoku solver using the camera, it looks for the edges of the Sudoku in the frame, extracts it, solves it and overlays the solution on the puzzle itself. For the digit recognition, I used a CNN, trained using Keras with printed characters from the different ubuntu fonts. For the image processing part, I used OpenCV for the edge detection.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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opencv-python
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
If you need some tutorials, Awesome OpenCV has a massive list of books and online tutorials - both free and paid - to help you get started.
Sudoku solver
Now this library is so big and versatile that I’m not giving you examples, but I will link you to some cool projects that use it. OpenCV is a computer vision library that was originally built for C but has wrappers for all manner of languages, with the most popular being Python. This allows you to take in video or image input from either a file, a webcam, or even a live video stream over the internet. You can then process each image using various techniques to get information from those images. Information can be as simple as an average color, or as complex as finding specific targets within the image.
If you have ever worked with micro frameworks like Flask or Sinatra, you will feel right at home with FastAPI. Built to be as fast as possible, FastAPI allows you to make all manner of Python web applications - from simple APIs to massive full stack web applications. Using Python Dataclasses as well as type hinting, it can make your API as close to idiot proof as possible. It even has support for OpenAPI, as well as auto generated documentation. Here an example of a super minimal FastAPI application.