@rangoon/track v0.1.1

RTX AR Tracking SDK

This SDK is intended for implementing AI-powered tracking for WebAR projects by rangoon.tech.

Installation

First, install the library by running the command

npm install @rangoon/track

If you're using yarn,

yarn add @rangoon/track

How to use

The usage of @rangoon/track usually involves two steps.

1. Start a video stream

Initialize the SDK by attaching the @rangoon/track's Webcam component to your React Project. The Webcam component will start a video stream which will be used for tracking.

import { Webcam } from "@rangoon/track"
import { useRef } from "react"

function App() {

  const videoRef = useRef<HTMLVideoElement>(null)

  return (
    <div>
      <Webcam videoReference={videoRef}/>
    </div>
  )
}

export default App

2. Initiate a tracking model

Currently, @rangoon/track supports three types of tracking models.

• Hand Tracking (Landmarks)
• Hand Gesture Tracking (Landmarks + Gestures)
• Face Tracking

By calling the Hook associated with the respective model, you can obtain the tracking data.

Below is an example of obtaining hand-tracking data with useHandTracking Hook.

import { Webcam, useHandTracking } from "@rangoon/track"
import { useEffect, useRef } from "react"

function App() {

  const videoRef = useRef<HTMLVideoElement>(null)

  //Initiate the model by passing the webcam reference
  const handData = useHandTracking({
    videoReference: videoRef
  })

  //Watch the data changes with useEffect
  useEffect(() => {
    console.log(handData)
  }, [handData])

  return (
    <div>
      <Webcam videoReference={videoRef}/>
    </div>
  )
}

export default App

Feedback

If you have any feedback, please reach out to us at waing@rangoon.tech