Object Tracking with YOLOv8 and Deep SORT

This project integrates YOLOv8 for object detection with Deep SORT for object tracking, enabling real-time tracking of people and objects. The system provides an interactive interface to track individual objects, switch camera sources, and toggle between tracking only people, only objects, or both.

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📌 Requirements

• Python 3.7
• Install dependencies from requirements.txt:

  pip install -r requirements.txt

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🚀 Deep SORT Integration

We are working with this fork from the official Deep SORT implementation.

Download the Deep SORT feature extraction model: Feature Extraction Model

Place the downloaded model in the model_data/ directory.

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📂 Data

You can download the dataset used for testing from the link below:
Download Dataset

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⚙️ Usage

1️⃣ Clone the Repository

git clone https://github.com/Nikhil112024/object-tracking-yolov8-deep-sort.git
cd object-tracking-yolov8-deep-sort

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run the Object Tracking Script

python main.py

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🖥️ Controls & Features

🟢 Track Button (Green → Red)

• Click on an object or person in the video feed to track it.
• Turns red when tracking is active.

📷 Cam Button (Blue)

• Click to switch the camera source.
• Automatically cycles through available cameras.

🔄 People/Object/Both Button (3 Colors)

• Click to toggle between tracking only people, only objects, or both.
• Changes color based on mode selection:
  • 🟢 Green: Tracking only people
  • 🔵 Blue: Tracking only objects
  • 🟡 Yellow: Tracking both people and objects

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🏗️ Project Structure

📂 object-tracking-yolov8-deep-sort
│── 📜 README.md               # Project Documentation  
│── 📄 requirements.txt        # Required Python Libraries  
│── 📂 model_data/             # YOLO & Deep SORT Model Files  
│── 📂 data/                   # Sample Test Data  
│── 📄 main.py                 # Main Tracking Code  
│── 📄 tracker.py              # Deep SORT Tracking Module  
│── 📄 utils.py                # Utility Functions  
│── 📂 outputs/                # Processed Videos & Images  

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📜 About

👨‍💻 Developer: Nikhil Kumar
📍 Location: Dehradun, Uttarakhand
📧 Email: [email protected]
🔗 GitHub: github.com/Nikhil112024

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📜 Acknowledgments

• YOLOv8 by Ultralytics for real-time object detection.
• Deep SORT for multi-object tracking.