Invisibility Cloak OpenCV

This project demonstrates the creation of an invisibility cloak effect using OpenCV and Python. By utilizing HSV color space, masking techniques, and real-time video processing, it replaces a specific color in the video frame with the background, creating a magical "invisible" effect.

---

Features

• Dynamic adjustment of HSV range using trackbars.
• Real-time video processing with a webcam.
• Noise reduction using median blur and dilation techniques.
• Frame merging to achieve a seamless invisibility effect.

---

Requirements

• Python 3.x
• OpenCV (cv2)
• NumPy (numpy)

---

Installation

1. Clone this repository:

   git clone /~https://github.com/yourusername/Invisibility-Cloak-OpenCV.git

2. Navigate to the project directory:

   cd Invisibility-Cloak-OpenCV

3. Install the required dependencies:

   pip install opencv-python numpy

---

Usage

1. Run the script:

   python invisibility_cloak.py

2. Use the sliders to adjust the HSV range for the cloak's color.
3. Press q to quit the application.

---

How It Works

1. HSV Color Space:
   • Converts frames from BGR to HSV for easier color detection.
2. Masking:
   • Creates a mask for the selected color range using the trackbars.
3. Background Frame:
   • Captures the background frame at the start of the script.
4. Frame Mixing:
   • Combines the mask and background to replace the cloak color with the background.

---

Contribution

Feel free to fork this repository and submit pull requests for improvements or new features.

---

License

This project is licensed under the MIT License.

---

Author

Dipanjan Pathak
Portfolio Linked In