https://github.com/alvinwan/antsy3d

in-browser point cloud annotation tool for instance-level segmentation with fat markers
https://github.com/alvinwan/antsy3d

annotation object-segmentation point-cloud point-cloud-visualizer

Last synced: about 2 months ago
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in-browser point cloud annotation tool for instance-level segmentation with fat markers

• Host: GitHub
• URL: https://github.com/alvinwan/antsy3d
• Owner: alvinwan
• License: apache-2.0
• Created: 2017-08-04T21:53:46.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-04-10T23:40:06.000Z (over 5 years ago)
• Last Synced: 2024-10-12T13:44:37.655Z (2 months ago)
• Topics: annotation, object-segmentation, point-cloud, point-cloud-visualizer
• Language: JavaScript
• Homepage: http://alvinwan.com/antsy3d
• Size: 647 KB
• Stars: 34
• Watchers: 2
• Forks: 10
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
![antsy3d](https://user-images.githubusercontent.com/2068077/29349796-892f14bc-8210-11e7-876f-5864c61cfc99.gif)

# Antsy 3D

Lightweight point cloud annotation tool for instance-level segmentation using fat markers and raytracing.

> Notes:

> - This has now evolved into a more sophisticated LiDaR annotator: [LiDaR Annotator by B. Wang et. al.](https://github.com/bernwang/LiDAR-annotator) I recommend using that instead.

> - Sorry, current version using skinny (1-pixel) marker. :( Another option is to use Three.js's built-in octotree and color entire boxes.

# Usage

**No installation needed!** This is an in-browser interactive view of your models.

1. To *run*, double-click on `index.html` to launch the app.

2. To *label*, simply hold your mouse down and drag across the screen.

3. To *export* your labelled points, click on the "save" button to the top-left.

Need to rotate or move your point cloud? To change between `move mode` and `label mode`, click on the respective buttons in the top-left:

- In `move mode,` dragging will reorient the point cloud. Scrolling with zoom in and out.

- In `label mode,` dragging will added red dots, representing labelled points.

# Point Cloud Format

`js/output.js` defines a global variable `data`, a dictionary mapping unique point cloud names to point cloud data; point clouds have a `vertices` property, a list of vertices, each with `.x`, `.y` and `.z` properties.

e.g., To access the `x` position of the first point in the point cloud named `frog`, you would access `data.frog.vertices[0].x`. Simple example of `output.js`:

```

var data = {

   'frog': {

      'vertices': [

          {'x': 3.5, 'y': 3.5, 'z': 5.6},

          {'x': 1.0, 'y': 1.2, 'z': 3.4}

      ]

   }

}

```