Lampix Apps API
  • Introduction
  • Application Development
    • Getting Started
      • Up and Running
      • Boilerplate
    • Step by step app
      • What We'll Build
      • Environment Setup
      • Styling
      • HTML Structure
      • NeuralNetworkClassifier
      • MovementBasedSegmenter
      • Final Step
      • Extras
    • LampixJS
      • API Reference
        • Watcher
        • RegisteredWatcher
        • .watchers.add
        • .watchers.remove
        • .watchers.pauseAll
        • .watchers.resumeAll
        • .presets.button
        • .helpers.rectangle
        • getLampixInfo
        • switchToApp
        • exit
        • getApps
        • getAppConfig
        • getAppMetadata
        • writeJsonToFile
        • readJsonFromFile
        • transformRectCoords
        • constants
      • Examples
        • NeuralNetworkClassifier: Buttons
        • MovementBasedSegmenter
        • Counter App
      • Migrating from v0.x.x to v1.0.0-beta.x
      • Ecosystem
    • Deploying
      • Application Structure (production)
      • Local Deploy
    • Standard Watchers
    • Custom Watchers
      • Description
      • Environment Setup
      • Directory Structure
      • End result
      • QRCodeDetector implementation
    • Community
  • Lampix Simulator
    • Installation
    • Usage
      • Basics
Powered by GitBook
On this page

Was this helpful?

  1. Application Development

Step by step app

PreviousBoilerplateNextWhat We'll Build

Last updated 6 years ago

Was this helpful?

This example will showcase registering the most common watchers and how to use them, step by step.

IMPORTANT: At the time of this writing, this example simply showcases the steps to build an app, but it is meant to run only in the simulator, as fruits is not a neural network we currently provide.

It will be provided in the future, with oranges, lemons and limes at first, and the app adjusted to take into account the varying sizes of the physical elements. Right now, the size isn't taken into consideration.

What we'll build
Environment Setup
Styling
HTML Structure
NeuralNetworkClassifier
MovementBasedSegmenter
Final step
Extras