Realtime AI handpose estimation in Nuxt using TensorflowJS
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It uses the webcam to predict 21 landmarks(the dots in the picture below) in one's hand. It then connects the dots to form the mesh, all this is done in realtime. Its pretty cool.
To get a local copy up and running follow these simple steps.
This is an example of how to list things you need to use the software and how to install them.
- npm
npm install npm@latest -g
- Clone the repo
git clone https://github.com/abel-moremi/gesture.git
- Install dependecies
npm install
1 serve with hot reload at localhost:3000
$ npm run dev
2 build for production and launch server
$ npm run build
$ npm run start
3 generate static project
$ npm run generate
For detailed explanation on how things work, check out Nuxt.js docs.
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE
for more information.
Your Name - @moremiAbel - abelmoremiz@gmail.com
Project Link: Gesture
- Nicholas Renotte for his repo and Youtube video helped out a lot