Invisibility Cloak using OpenCV

Overview

This project implements the famous "Invisibility Cloak" effect from the Harry Potter series using OpenCV in Python. By capturing the background and creating a mask based on a selected color (the cloak), the cloak area is replaced with the background, creating an illusion of invisibility. The model is fine-tuned to handle a variety of color ranges, ensuring accuracy and smoothness in the effect.

Features

• Real-Time Cloak Detection: Identifies and masks the selected cloak color in real time.
• Background Capture: Captures the background frame before the cloak is introduced.
• Smooth Transitions: Utilizes morphological operations and Gaussian blurring to ensure smooth edges and reduce noise in the mask.
• Highly Accurate: Achieves a high accuracy rate in detecting the cloak and applying the effect smoothly.

Requirements

• Python 3.x
• OpenCV
• NumPy

You can install the required packages using pip:

pip install opencv-python numpy

How to Run the Project

1. Clone the repository:

   git clone https://github.com/Sushmitha0104/Harry-Potter-Invisibility-Cloak.git
   cd invisibility-cloak

2. Run the script:

   python main.py

3. Use the Project:

   • Run the script to open the webcam feed.
   • Press the 'b' key to capture the plain background without any objects or cloak in the frame. This captured background will be used to replace the selected cloak area.
   • After capturing the background, wear the cloak and introduce other objects if needed.
   • Click on the cloak in the video feed to select the color you want to make invisible. The script will create a mask for the selected color and apply the invisibility effect.
   • If the background changes, press the 'b' key to re-capture the background and ensure the effect remains consistent.

4. Exit the application:

   • Press 'q' to quit the application.

File Structure

• main.py: The main script to run the invisibility cloak effect.
• README.md: This file, providing an overview of the project.

How It Works

1. Background Capture: The background is captured without the cloak, allowing it to be used as the replacement for the cloak area.
2. Color Selection: The user clicks on the color to be made invisible. The script then identifies this color in the HSV color space.
3. Mask Creation: A mask is created based on the selected color, highlighting areas to be replaced by the background.
4. Morphological Operations: The mask is refined using closing, opening, and Gaussian blur operations to ensure a smooth and accurate effect.
5. Apply the Effect: The final effect is applied by combining the masked area with the background.

Known Issues

• Lighting Conditions: The effect may vary under different lighting conditions. Adjust the tolerance level if needed.
• Complex Backgrounds: Highly complex or dynamic backgrounds might reduce the effectiveness of the cloak effect.

Contributions

Feel free to fork this project, create issues, or submit pull requests. Contributions are welcome!

License

This project is licensed under the MIT License.