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This Python code utilizes OpenCV to detect and draw circles in an image. It applies grayscale conversion and median blur to reduce noise, then employs the Hough Circle Transform for circle detection. Detected circles are highlighted in red on the image.

License: MIT License

Python 100.00%
hough-circles hough-transform hough-transformation image image-processing opencv deep-learning feature-detection image-enhancement image-filtering

hough-circle's Introduction

✨ Hi! Welcome to my GitHub profile

  • 📖 About Me:

    My name is Erdem Taha Sokullu I am 20 years old I have been interested in software for 8 years I am carrying out studies on image processing and artificial intelligence I am trying to improve myself in these areas and advance my horizons

    🎓 I am Studying Computer Engineering at Istanbul Arel University

    👨‍💻 Former Mercutech Unmanned Aerial Vehicle and Air Defense Team Software Leader

    💫 I am currently the Technology Team Leader of GDSC (Goggle Developer Student Club)

    ☄️ Exterdos AI Team Founder and Software Leader

    🚀 I am Conducting Studies On Artificial Intelligence And Image processing

  • 🛠️ Skills:

    Python Matplotlib OpenCv TensorFolow NumPy Pandas

    PyTorch Raspberry Pi Django scikit-learn

  • 🖥️ Workspace Setup:

    INTEL nVIDIA Windows 11 Anaconda Spyder

  • 🏆 GitHub Stats:

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  • 🔗 My Social Media Links:

Linkedin Badge Github Badge Gmail Hackerrank CodeWars Instagram Badge Kaggle Medium Badge

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