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README

AUTOMATIC LICENSE PLATE RECOGNITION using YOLOV5 and EASYOCR

  • This repo has information about the creation of the AUTOMATIC LICENSE PLATE RECOGNITION using YOLOV5 and EASYOCR
  • deploy.py has code for both detection on image and video.
  • Official yolov5 repo: https://github.com/ultralytics/yolov5
  • How to train custom yolov5: https://www.youtube.com/watch?v=12UoOlsRwh8&ab_channel=coderzero
  • How to deploy yolov5 : https://youtu.be/iuByus7SCEA
  • Detailed explanation about this project: https://youtu.be/BpXlQwcx67s

step-1: Install pytorch

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step-2: Instll easyOCR

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step-3: Project pipeline

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step-4: Train custom YOLOV5 license or number plate detection model (you can follow this tutorial: https://www.youtube.com/watch?v=12UoOlsRwh8&ab_channel=coderzero) and download the weight file after training

step-5: Prepare the whole pipeline for this project (Detailed explanation about this project: https://youtu.be/BpXlQwcx67s)

Filter details:

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Core symbols most depended-on inside this repo

detectx
called by 2
deploy.py
plot_boxes
called by 2
deploy.py
recognize_plate_easyocr
called by 1
deploy.py
filter_text
called by 1
deploy.py
main
called by 1
deploy.py

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Function 5

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Python100%

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deploy.py5 symbols

For agents

$ claude mcp add numberplaterecognition \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact