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Developed an optimal solution for distance detection which includes functionalities such as object identification and classification, annotating images, computing distances between specific class objects, verifying and notifying about calculated distances, optimizing the model from 32-bit to 8-bit for efficiency, and deploying the optimized model.

License: Apache License 2.0

Python 1.23% Shell 0.01% Jupyter Notebook 98.70% Dockerfile 0.01% Java 0.06%
distance-detection jupyter-notebook machine-learning object-detection opencv python

yolov7's Introduction

Hi 👋, I'm Vivek P Marakumbi

A passionate Programmer and Data Analyst.

vivpm

  • 🔭 I’m currently working on Full Stack Web Development

  • 🌱 I’m currently learning MERN Stack

  • 💬 Ask me about Programming Languages

  • 📫 Worked on Programming, Web Development, Blockchain Projects

  • ⚡ Leisure Time Play Cricket

Languages and Tools:

💻 Programming Languages

cplusplus go java javascript python typescript

🌐 Frontend Development

angular angularjs bootstrap css3 html5 react tailwind nextjs

🔙 Backend Development

express django nodejs postman

🧠 AI/ML

pytorch tensorflow scikit_learn seaborn canvasjs

💾 Database

mongodb mssql mysql oracle

🛠 DevOps

docker git jenkins linux

🔖 Other

firebase matlab selenium arduino gcp hadoop hive opencv pandas

Most Used Languages 📚



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