📌Count Unique People in a Video using YOLOv8

🎯 Objective

This script analyzes a video using the YOLOv8 model with built-in object tracking, detects people, and prints the total number of unique individuals identified by their unique tracking IDs.

Ideal for applications like crowd counting, person tracking, or video analytics.

---

🧰 Requirements

Make sure to install the required library:

pip install ultralytics

• ultralytics: provides the YOLOv8 model and tracking tools.

---

📁 Project Structure

yolo-person-tracking/
│
├── yolov8s.pt             # Pre-trained YOLOv8 model (optional, can be downloaded automatically)
├── sample.mp4             # Input video to analyze
└── track_people.py        # Main tracking script

---

⚙️ Setup

1. Download your input video and name it sample.mp4.
2. Place it in the same folder as the script.
3. If you don't have the yolov8s.pt model, download it from: 👉 https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8s.pt

Note: You can use YOLO("yolov8s") instead to automatically download the model on first run.

---

▶️ Run the Script

Run the script using:

python track_people.py

---

🖥 Output

The script:

• Displays the video with bounding boxes and tracking IDs in real-time.
• Prints the total number of unique people detected during the video.

Example output:

Unique people found in the video: 5

---

✅ Features

• Lightweight and fast.
• No web interface or server needed.
• Ideal for quick testing or integration into other projects.

---

🔚 Notes

• Tracking is handled internally by YOLO using ByteTrack.
• For best results, avoid overly crowded scenes or fast camera movements.
• You can extend this code to export data to CSV, draw counts on screen, or save processed frames.