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A scalable and versatile ANPR package leveraging YOLO for detection and multiple OCR options to accurately recognize license plates.

Project description

PyPlateX

A scalable and versatile ANPR package leveraging YOLO for detection and multiple OCR options to accurately recognize license plates.

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Simple ready to use ANPR

from pyplatex import ANPR
import asyncio

async def main():
    anpr = ANPR()
    plates = await anpr.detect('./typesofcarnumberplates-02-01.jpg', save_image=True)
    print(plates)

# Run the async main function
asyncio.run(main())

the output will be like

    {
        'detected': True, 
        'confidence': array(    0.74661, dtype=float32), 
        'saved_path': 'detected_plates/cropped_plate_20240714_145500.jpg'
    }

NOTE

Still cooking in the kitchen—don’t worry, we’ll let you know when it’s done and ready to serve! 🍳

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pyplatex-0.0.2.tar.gz (5.6 MB view hashes)

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pyplatex-0.0.2-py3-none-any.whl (5.6 MB view hashes)

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