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Object-Detection-Yolo

This project is a combination of projects that cover webcam, mp4, and img object detection training and tracking
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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact
  8. Acknowledgments

About The Project

Main Picture

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Built With

  • Pyhton
  • Yolo

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Getting Started

Here is how we created our project

Prerequisites

  1. Open PyCharm
  2. Start a new project
  3. Create it in a venv (virtual environment) with Python 3.8

Installation

  • Verify with the Prerequisite section for installations

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Usage

This project can be used to track objects real time via a webcam or img/mp4
I have preuploaded some images and videos, but upload your own and experiment with your own data

Here are some snippets of what you can do, enjoy!

Car Counter People Counter

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Roadmap

  • Interactive movements with C Jam
  • Object Detection with Yolo from https://universe.roboflow.com/
  • Chinese language integration for class tracking
    • Example: Person would be displayed as 人
  • More to come, tell me what else you would like to see!

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Chase Haynes - @haynes2va - chasecthaynes@gmail.com

Project Link: https://github.com/bllizzartt/c-jam

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Acknowledgments

  • Murtaza's Workshop

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