Python ANPR with OpenCV and EasyOCR in 25 Minutes | Automatic Number Plate Recognition Tutorial скачать в хорошем качестве

Python ANPR with OpenCV and EasyOCR in 25 Minutes | Automatic Number Plate Recognition Tutorial

Tired of searching for your Uber? Trying to get a better idea of who’s stealing your car park? Just want an awesome Computer Vision project to try out using Python? Well, ANPR might just be the perfect thing for your to try out! In this video we’ll go through a full blown walkthrough of performing Automatic Number Plate Recognition (ANPR) using OpenCV and EasyOCR. We just edge detection and filtering techniques combined with deep learning powered optical character recognition to be able to extract number plate text from images in just 25 minutes. In this video you’ll learn how to: 0:00 - Start 5:59 - Reading and visualising images using OpenCV with Python 7:37 - Applying color shifts and changes to images (e.g. grayscaling and BGR2RGB) 9:48 - Detecting contours using OpenCV findCountours 14:32 - Masking number plates to improve text extraction for OCR 18:40 - Extracting number plate text using EasyOCR GET THE CODE! https://github.com/nicknochnack/ANPRw... Links Mentioned: Circuit Digest Article: https://circuitdigest.com/microcontro... OpenCV Documentation: https://docs.opencv.org/4.5.0/ EasyOCR: https://github.com/JaidedAI/EasyOCR PyTorch: https://pytorch.org/get-started/locally/ If you have any questions, please drop a comment below! Oh, and don't forget to connect with me! LinkedIn:   / nicholasrenotte   Facebook:   / nickrenotte   GitHub: https://github.com/nicknochnack Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand!