License Plate Recognition Using YOLOv3 | OpenCV | Python

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#Pyresearch

Learn how to implement your license plate recognition using a custom YOLOv3, OpenCV, and image base. In this tutorial, I will walk through the custom code I have created to run object detections to find license plates, crop the license plate region, preprocess the license plate using OpenCV, and then run it through to output the license plate number. The backbone of this code is yolov3 and it is written in Python.

#objectdetection #OCR #licenseplaterecognition

#license #plate #detection #yolo #yolox

This repository contains a method to detect Iranian vehicle license plates as a representation of vehicle presence in an image. We have utilized You Only Look Once version 3 (YOLO v.3) to detect the vessels inside an input image. The method has the advantages of high accuracy and real-time performance, thanks to YOLO v.3 architecture. The presented system receives a series of vehicle images and produces the processed image with added bounding boxes containing the vehicles' license plates. The flow of how we have trained and tested the application is published in a paper accessible from the citation section.

Environment
Python v.3
You Only Look Once (YOLO) v.3
A vehicle image dataset containing 3000+ samples

Video Breakdown:
1. Cloning or Downloading the Code for the Tutorial
2. Installing Dependencies and saving the custom YOLOv4 model
3. Explanation of the license plate recognition and code.
4. Running the License Plate Recognition on several images.

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