Real-Time Object Counter Streamlit App - YOLOv8 + OpenCV

[rakheshkrishna2005]

Add New Project Folder: Real-time Object Tracker.

Please assign this project to me. Thank you for your consideration!

Since I was screen recording FPS dropped. It was around 30 FPS normally.

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Project Overview

I would like to contribute a Real-time Object Tracker project. It is a Streamlit dashboard that counts objects in real-time using COCO dataset classes, YOLOv8, and OpenCV.

Demo Video:

https://github.com/user-attachments/assets/3408fee5-e82b-47bc-8282-eb84752b7d96

Key Features:

• Real-time Object detection using YOLOv8 and OpenCV.
• Supports video uploads (MP4, AVI, MOV, MPEG4), allowing users to easily process pre-recorded videos.
• Webcam integration for live video processing.
• CUDA GPU acceleration for faster processing.

Project Structure:

• app.py, main.css, requirements.txt, yolov8n.pt, README.md
• Screenshots and output examples are available to illustrate the interface.

[github-actions[bot]]

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions or additional information, feel free to add them here. Your contributions are highly appreciated! 😊

You can also check our CONTRIBUTING.md for guidelines on contributing to this project.

[Aryan-Chharia]

@rakheshkrishna2005 this project is already in the repo. thx for creating the issue.