Skip to content

saurabhshahare/semantic-segmentation-editor

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

27 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Semantic Segmentation Editor

A web based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js and three.js.

Bitmap Image Editor

🎥 VIDEO: Bitmap labeling overview

🚀 DEMO: Bitmap editor

PCD Point Cloud Editor

🎥 VIDEO: Point cloud labeling overview

🚀 DEMO: Point cloud editor

How to run

Install Meteor (OSX or Linux)

curl https://install.meteor.com/ | sh

or download Meteor Windows Installer

Download and unzip latest version from here

Start the application

cd semantic-segmentation-editor-x.x.x
meteor npm install
meteor npm start

The editor will run by default on http://localhost:3000

(Optional) Edit settings.json

By default, images are served from your_home_dir/sse-images and pointcloud binary segmentation data are stored in your_home_dir/sse-internal. You can configure these folders in settings.json by modifying images-folder and internal-folder properties. On Windows, use '/' separators, example c:/Users/john/images

Check Meteor Environment Variables to configure your app (MONGO_URL, DISABLE_WEBSOCKETS, etc...)

Running the app using Docker

A Docker image of v1.0.0 is available here

To run it:

docker pull hitachiail/semantic-segmentation-editor
docker run -it -p PORT:3000 -v INPUT_FOLDER:/mnt/images -v OUTPUT_FOLDER:/mnt/pcd hitachiail/semantic-segmentation-editor:latest

Replace PORT, INPUT_FOLDER and OUTPUT_FOLDER according to your needs.

Configuration File: settings.json

{
  "configuration": {
    "images-folder": "/mnt/images", // The root folder containing images and PCD files
    "internal-folder": "/mnt/pointcloud_data" // Segmentation data (only 3D) will be stored in this folder
  },
  // The different sets of classes available in the tool
  // For object classes, only the 'label' field is mandatory
  // The icon field can be set with an icon from the mdi-material-ui package
  "sets-of-classes": [
    {
      "name": "Cityscapes", "objects": [
      {"label": "VOID", "color": "#CFCFCF"},
      {"label": "Road", "color": "#804080", "icon": "Road"},
      {"label": "Sidewalk", "color": "#F423E8", "icon": "NaturePeople"},
      {"label": "Parking", "color": "#FAAAA0", "icon": "Parking"},
      {"label": "Rail Track", "color": "#E6968C", "icon": "Train"},
      {"label": "Person", "color": "#DC143C", "icon": "Walk"},
      {"label": "Rider", "color": "#FF0000", "icon": "Motorbike"},
      {"label": "Car", "color": "#0000E8", "icon": "Car"}
    },
    { ... }
  ]
}

How to use

The editor is built around 3 different screens:

The file navigator let's you browse available files to select a bitmap images or a point cloud for labeling

The bitmap image editor is dedicated to the labeling of jpg and png files by drawing polygons

The point cloud editor is dedicated to the labeling of point clouds by creating objects made of subsets of 3D points

Using the bitmap image editor

There are several tools to create labeling polygons:

Polygon Drawing Tool (P)

  • Click and/or drag to create points
  • Type ESC to remove last created points in reverse order
  • Drag the mouse pointer or hold Shift to create a complex polygon without having to click for each point
  • Type ENTER or double click the first point to close the polygon

Magic Tool (A)

  • Create a polygon automatically using contrast threshold detection
  • This tool is only useful to draw the outline of objects that have sharp contrasted edges (examples: sky, lane marking)
  • Click inside the area you want to outline, then adjusts any sliders on the right to adjust the result
  • Type ENTER to validate the result

Manipulation Tool (Alt)

  • Select, move and add point(s) to existing polygons
  • Click inside a polygon to select it
  • Click a point to select it
  • Draw a lasso around multiple points to select them
  • Drag a point with the mouse to move it
  • Hold Shift to separate points that belongs to more than one polygon
  • Click the line of a polygon to create a new point and drag the newly created point to place it

Cutting/Expanding Tool (C)

  • Modify the shape of an existing polygon
  • Select the polygon you want to modify
  • Draw a line starting and ending on the outline of a polygon
  • The new line replace the existing path between starting and ending points
  • The resulting shape is always the largest one

Contiguous Polygon Tool (F)

  • Create contiguous polygons easily

  • Start a new polygon with the Polygon Drawing Tool

  • Create the starting point by snapping to the outline of the polygon you want to workaround
  • Create the ending point by snapping to another outline, at this point you must have a straight line crossing one or more existing polygons
  • Hit F one or several times to choose what workaround path to use

Using the point cloud editor

  • Mouse left button: Rotate the point cloud around the current focused point (the center of the point cloud by default), clickon a single point to add it to the current selection
  • Mouse wheel: Zoom in/out
  • Mouse middle button (or Ctrl+Click): Change the target of the camera
  • Mouse right button: Used to select multiple points at the same time depending on the current Selection Tool and Selection Mode.

API Endpoints

  • /api/listing: List all annotated images
  • /api/json/[PATH_TO_FILE]: (2D only) Get the polygons and other data for that file
  • /api/pcdtext/[PATH_TO_FILE]: (3D only) Get the labeling of a pcd file using 2 addditional columns: label and object
  • /api/pcdfile/[PATH_TO_FILE]: (3D only) The same but returned as "plain/text" attachment file download

About

Web labelling tool for camera and LIDAR data

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • JavaScript 95.9%
  • CSS 4.0%
  • HTML 0.1%