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TensorFlow Object Model

This project utilizes TensorFlow models for object detection, hand gesture recognition, and face mesh detection.

Prerequisites

Before running this project, make sure you have the following packages installed:

  • @tensorflow-models/coco-ssd@^2.2.2
  • @tensorflow/tfjs@^2.4.0
  • @stripe/react-stripe-js
  • @tensorflow-models/handpose
  • @tensorflow-models/facemesh
  • fingerpose
  • react-webcam

Installation

Use the package manager npm to install the necessary packages:

npm install

Usage
To start the application, run the following command:
npm start

This will launch the app and display the different components.

Tensorflow_Model

This component utilizes TensorFlow models to detect objects in images displayed on the screen.

GestureRecognition

The GestureRecognition component captures handshapes and recognizes predefined gestures such as "Thumbs Up" and "Victory" sign.

FacemashDetection

The FacemashDetection component captures the face and creates a 2D triangulation according to the face, similar to Snapchat filters.

version

v0.1.0

License

This project is licensed under the MIT License. See the LICENSE file for details.

© 2023 Zeeshan Rafiq. All rights reserved.

Feel free to modify the content according to your project's specific details and requirements.