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Visualization framework for autonomy and robotics data encoded in XVIZ

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Smart-Ag/streetscape.gl

 
 

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Raven Setup Steps

Notes

  1. This visualization requires two parts: a) https://github.com/Smart-Ag/streetscape.gl b) https://github.com/Smart-Ag/xviz
  2. a) is the front end code
  3. b) is the back end code

To Install

$ install node v11.12.0 (curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.35.3/install.sh | bash)
$ nvm install 11.12.0
$ nvm use 11.12.0
$ git clone https://github.com/uber/streetscape.gl.git
$ cd streetscape.gl
$ npm install
$ npm run bootstrap

To Run

$ cd streetscape.gl/examples/get-started
$ npm install
$ npm run start-live

streetscape.gl

streetscape.gl is a toolkit for visualizing autonomous and robotics data in the XVIZ protocol. It is built on top of React and Uber’s WebGL-powered visualization frameworks.

UI Components

Install

npm install streetscape.gl
# or
yarn add streetscape.gl

Documentation and demo

AVS Website

Quick start

You need Node.js and yarn to run the example app.

# Clone streetscape.gl
$ git clone https://github.com/uber/streetscape.gl.git
$ cd streetscape.gl

# Install dependencies
$ yarn bootstrap

# Run example
$ cd examples/get-started
$ yarn
$ yarn start

Contributions

streetscape.gl welcomes contributions. If you have an idea, open a Github issue to get some feedback before you start implementing, to make sure that the maintainers are ready to accept it.

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Visualization framework for autonomy and robotics data encoded in XVIZ

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