A small repository to provide an example of how to detect license plates in a video file, video stream or static image. Isolate the plate with a bounding box, extract the contents of the bounding box and then using OCR extract the text on the plate. Using the extraced text we write the output back to the image/frame.
In this project I wanted to test the capability to identify, capture and extract the text of a license plate.
This application was built using Python, Ultralytics Yolov5 and EasyOCR
In the image below you can see still shots of the application runnning on your local machine.
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Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you want, feel free to fork this repository. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/YourFeature) - Commit your Changes (
git commit -m 'Add some YourFeature') - Push to the Branch (
git push origin feature/YourFeature) - Open a Pull Request
See the for a full list of proposed features (and known issues).