https://github.com/himalayaashish/cloaktrick

This project demonstrates the use of OpenCV and computer vision techniques to create a "cloak effect," similar to the invisibility cloak from Harry Potter. The system captures live video using a webcam and detects a specific color range to create the illusion of making the person wearing that color invisible.
https://github.com/himalayaashish/cloaktrick

computer-vision image-processing opencv

Last synced: about 2 months ago
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This project demonstrates the use of OpenCV and computer vision techniques to create a "cloak effect," similar to the invisibility cloak from Harry Potter. The system captures live video using a webcam and detects a specific color range to create the illusion of making the person wearing that color invisible.

• Host: GitHub
• URL: https://github.com/himalayaashish/cloaktrick
• Owner: himalayaashish
• Created: 2022-02-19T18:24:21.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-10-17T09:45:41.000Z (over 1 year ago)
• Last Synced: 2024-10-19T13:07:26.308Z (over 1 year ago)
• Topics: computer-vision, image-processing, opencv
• Language: Python
• Homepage:
• Size: 15.4 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## Hello World! 

 🚀 Welcome to my git repo :CloakTrick



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#### CloakTrick Using OpenCV

###### This project demonstrates the use of OpenCV and computer vision techniques to create a "cloak effect," similar to the invisibility cloak from Harry Potter. The system captures live video using a webcam and detects a specific color range to create the illusion of making the person wearing that color invisible. By leveraging color segmentation and bitwise operations, the background is seamlessly blended with the color-masked region to produce the cloaking effect in real time. The output is saved as a video file for further viewing. This project highlights the power of computer vision in creating magical, real-world effects.

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### Languages and Tools 

### Languages

  **Python**:

  ![Python](https://img.shields.io/badge/-Python-black?style=flat&logo=python)

  ![Keras](https://img.shields.io/badge/-Keras-D00000?style=flat&logo=Keras)

  ![Tensorflow](https://img.shields.io/badge/-Tensorflow-gray?style=flat&logo=tensorflow)

  ![PyTorch](https://img.shields.io/badge/-PyTorch-EE4C2C?style=flat&logo=PyTorch&logoColor=white)

  ![OpenCV](https://img.shields.io/badge/OpenCV-27338e?style=for-the-badge&logo=OpenCV&logoColor=white)

  **JavaScript**: 

  ![JavaScript](https://img.shields.io/badge/-JavaScript-black?style=flat&logo=javascript)

  ![HTML5](https://img.shields.io/badge/-HTML5-E34F26?style=flat&logo=html5&logoColor=white) 

  ![CSS3](https://img.shields.io/badge/-CSS3-1572B6?style=flat&logo=css3) 

  ![Bootstrap](https://img.shields.io/badge/-Bootstrap-purple?style=flat&logo=bootstrap) 

  **SQL:**

  ![SQL](https://img.shields.io/badge/-SQL-orange?style=flat&logo=sql)

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### Tools

**Software Development:**

![Pycharm IDE](https://img.shields.io/badge/PyCharm-000000?logo=PyCharm&logoColor=white)

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**SDLC:**

![Agile](https://img.shields.io/badge/Agile-blue?style=flat&logo=Agile&logoColor=white) ![Scrum](https://img.shields.io/badge/Scrum-green?style=flat&logo=Scrum&logoColor=white) ![Kanban](https://img.shields.io/badge/Kanban-red?style=flat&logo=Kanban&logoColor=white)

**Software Engineering:**

[![Jira](https://img.shields.io/badge/-Jira-0052CC?style=flat&logo=jira&logoColor=white&link=https://github.com/Quananhle)](https://github.com/Quananhle)

[![Travis](https://img.shields.io/badge/-Travis-red?style=flat&logo=travis&logoColor=white&link=https://github.com/Quananhle)](https://github.com/Quananhle) 

**Version Control:**

![Bitbucket](https://img.shields.io/badge/-Bitbucket-blue?style=flat&logo=bitbucket)

![Git](https://img.shields.io/badge/-Git-black?style=flat&logo=git) 

![GitHub](https://img.shields.io/badge/-GitHub-181717?style=flat&logo=github)

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