🖼️ Camouflage AI – Smart Video Background Remover 🎥🧠

🎯 An AI-powered desktop tool for removing video backgrounds using YOLOv8 segmentation.

🎨 Choose solid colors, images, or blur effects as your new backdrop — it's fast, clean, and stunningly simple!

---

📌 Table of Contents

• ✨ Features
• 📸 Demo Screenshots
• 🧠 How It Works
• 📁 File Structure
• ⚙️ Requirements
• 🚀 How to Run
• 🧩 Technologies Used
• 👨🏻‍💻 Author
• 📜 License

---

✨ Features

• 🧍‍♂️ AI-Powered Person Segmentation – Detects humans using YOLOv8n-seg.
• 🎨 Background Options:
  • Solid color picker 🎨
  • Custom background image 🖼️
  • Gaussian blur effect 🔍
• 📂 Video File Input – Select and process any video file.
• 🔄 Progress Tracking – Real-time status updates with loading bars.
• 🧠 Lightweight YOLOv8n Model – Fast, accurate, and ideal for personal devices.
• 🖥️ Cross-compatible – Works on both CPU and GPU environments.

---

📸 Demo Screenshots

---

🧠 How It Works

1️⃣ YOLOv8 Segmentation

from ultralytics import YOLO
model = YOLO("yolov8n-seg.pt")
results = model.track(frame, persist=True, classes=0)

Detects the person (class ID 0) and generates binary masks for each frame.

---

2️⃣ Background Replacement

Based on your choice:

• Color: Overlays the mask with the selected RGB color.
• Image: Resizes and merges a new image background.
• Blur: Applies cv2.GaussianBlur() behind the person.

mask = masks[0]
inverse_mask = cv2.bitwise_not(mask)
foreground = cv2.bitwise_and(frame, frame, mask=mask)
background = cv2.bitwise_and(chosen_bg, chosen_bg, mask=inverse_mask)
final = cv2.add(foreground, background)

---

📁 File Structure

📦 CamouflageAI/
 ┣ 📄 Camouflage AI.py         # GUI App using CustomTkinter
 ┣ 📄 process_video.py         # Main processing logic with YOLO
 ┣ 📄 requirements.txt         # Dependencies
 ┗ 📄 README.md                # You’re here!

---

⚙️ Requirements

Install all required packages with:

pip install -r requirements.txt

Or manually:

pip install customtkinter opencv-python numpy rembg pillow tkinter moviepy matplotlib scikit-image tqdm pyperclip

📝 Tested with Python 3.10+ on Windows

---

🚀 How to Run

python "Camouflage AI.py"

✅ Make sure process_video.py is in the same directory. 🖼️ Output videos are automatically saved in the output/ folder.

---

🧩 Technologies Used

• Python 3
• Ultralytics YOLOv8
• OpenCV
• CustomTkinter
• NumPy
• Pillow (PIL)
• Torch (PyTorch)

---

👨🏻‍💻 Author

Made with ❤️ by Vishnu

“Build with passion, debug with precision.” 🔥

---

📜 License

This project is open-source and licensed under the MIT License.

---

🌟 If you found this useful, leave a ⭐ on the repo and share it!