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Computer Vision Projects by MUKARRAM-ONE

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Computer Vision: Machine understanding of images & video—object detection, gesture tracking, emotion recognition, etc.
A portfolio of Python / OpenCV / MediaPipe projects with live demos and clean code.

🔧 Projects

Project Description Live Demo Tech / Skills
Invisible Cloak Use color segmentation to create Harry Potter-style cloak effect. Streamlit Demo OpenCV, HSV masks, real-time video
Finger Counter Count number of fingers shown in camera feed. Streamlit Demo Contour detection, convexity defects
Hand Tracking / Gesture Recognition Track complex hand movements and gestures. Demo MediaPipe Hands, gesture mapping
Face & Emotion Detector Detect face, classify basic emotions (happy, sad, neutral, etc.). Demo Haar cascades or DNN, small emotion model

Requirements

To run the projects locally, install the following dependencies:

  • Python 3.8+
  • Libraries:
    • opencv-python
    • numpy
    • mediapipe (for hand tracking, optional)
    • streamlit (for web apps)
    • torch / tensorflow (for emotion recognition models)
    • scikit-learn
    • matplotlib (for visualizations)

📥 Installation & Running Locally

git clone https://github.com/MUKARRAM-ONE/Computer-Vision.git
cd Computer-Vision
pip install -r requirements.txt


---Install all requirements with:
pip install -r requirements.txt