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Demo: https://pupa.martinikf.com/

Structure

/src

  • SvelteKit app

/static

  • /models – 3D model and AI models
  • wasm files
  • manifest

/3D

  • Blender file for 3D model

/python_recognition

  • Python scripts for hand gesture recognition
  • Dataset (~7k images)
  • Note: TFDF needs linux, use Keras 2

Developing

npm install
npm run dev

Building

To create a production version of your app:

npm run build

You can preview the production build with npm run preview.

Docker

docker build -t pupa .
docker run -p 3000:3000 pupa

About

Master thesis - Program to support the teaching of the finger alphabet | Translation and recognition of the Czech finger alphabet

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