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Project to test Rust/Wasm hierarchical image segmentation as tool to label aerial image for creating IA training dataset

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Hierarchy Labellisation

This repository contains the code for an experimental hierarchical labellisation tool. It is developped in Rust and compiles to WebAssembly.

Preview

It was developped as an end-of-study project at EPITA. The project was supervised by Nicolas David at IGN.

Installation

Prerequisites

  • Rust 1.67+
  • wasm-pack 0.10.3+
  • Node.js + Yarn or NPM (for the example)

Build

wasm-pack build

This will generate a pkg folder containing the compiled WebAssembly module. It can be imported in any Javascript project using a bundler such as Webpack or Vite.

The file /pkg/hierarchy_labellisation.d.ts contains the type definitions and exported functions. You can use them to interact with the module.

Usage

You can find a working example in the example folder. The example is a simple vanilla Typescript project bundled with Vite. It allows you to load a TIFF image and compute its hierarchical segmentation. You can then use the slider to change the segmentation level.

To run it, simply run the following commands:

cd example
yarn install # You can also use `npm install`
yarn dev # You can also use `npm run dev`

The example will be available at http://127.0.0.1:5173/.

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Project to test Rust/Wasm hierarchical image segmentation as tool to label aerial image for creating IA training dataset

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