Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/vojtatom/laz.ts

⠇⠁⠵ LAS/LAZ Pointcloud Reader in TypeScript
https://github.com/vojtatom/laz.ts

las laser laz point-cloud reader

Last synced: about 4 hours ago
JSON representation

⠇⠁⠵ LAS/LAZ Pointcloud Reader in TypeScript

Awesome Lists containing this project

README

        

# LAZ.ts ⠇⠁⠵

TypeScript package for loading LAS/LAZ, primary developed for for WebGL applications, intended for lazy people who just want to load their point clouds and don't care about the details.

- ✅ returns a dev-friendly format
- ✅ internally based on [laz-perf](https://github.com/hobuinc/laz-perf)
- ✅ supports funky coordinate systems
- ✅ uses vitest 🧪 for testing

## Install from [npm](https://www.npmjs.com/package/lazts)

```
npm install lazts
```

## Usage

```ts
import { parse } from 'lazts/lazts';

//1) obtain ArrayBuffer somehow
const arrayBuffer = openFileAsArray('testdata/test.las');
//2) parse it
const data: LazData = await parse(arrayBuffer);
```

where `LazData` is defined as

```ts
interface LazData {
header: {
pointsOffset: number;
pointsFormatId: number;
pointsStructSize: number;
pointsCount: number;
scale: [number, number, number];
offset: [number, number, number];
maxs: [number, number, number];
mins: [number, number, number];
totalToRead: number;
totalRead: number;
};
attributes: {
position: { value: Int32Array; size: 3 };
intensity: { value: Float32Array; size: 1 };
classification: { value: Uint8Array; size: 1 };
color0?: { value: Uint8Array; size: 4 };
};
}
```

When working with funky coordinates (e.g. the coordinates are too big and there is no offset), you can use the `adjustOffset` option:

```ts
const dataWithNonZeroOffset = await parse(buffer, {
adjustOffset: true,
});
```