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Distributed TensorFlow implementation of steering angle prediction model for self-driving car. Includes integration to run on ClusterOne.

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Demo of a Self-Driving Car Steering Model for Clusterone

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This is a basic self-steering car model implemented in TensorFlow. It is used as a demo project to get started with the Clusterone deep learning computation platform.

Follow the Getting Started guide for Clusterone and read the author's blog post about building this demo here and here.

Table of Contents

Install

To run this project, you need:

  • Python 2.7 or 3.5 (or higher).
  • Git and Git Large File Storage (LFS)
  • The TensorFlow Python library. Get it with pip install tensorflow
  • The Clusterone Python library. Install it with pip install clusterone
  • A Clusterone account. Sign up here for free if you don't have an account yet.

Usage

Running a job on Clusterone is simple with the just command line tool that comes included with the Clusterone Python package.

Run on Clusterone

To run the model on Clusterone, you first need a Clusterone account. Log in with just login.

cd into the directory where you cloned this repository to and create a new project with just init project self-driving-demo. The data is already uploaded to Clusterone, so you don't need to worry about it.

Push the project code to Clusterone with git push clusterone master.

When the upload is complete, create a job to run the model on Clusterone:

just create job distributed --name first-job --project self-driving-demo \
--datasets tensorbot/self-driving-demo-data --module main_tf

Now the final step is to start the job:

just start job -p self-driving/first-job

You can monitor the execution of your job on Clusterone using just get events.

Instead of running the model from the command line, you can also use Clusterone's graphical web interface Matrix.

For a more detailed guide on how to run this project on Clusterone, check out the Getting Started guide. To learn more about Clusterone, visit our website.

License

MIT © Clusterone Inc.

Comma dataset and data_reader.py by comma.ai, licensed as specified.

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Distributed TensorFlow implementation of steering angle prediction model for self-driving car. Includes integration to run on ClusterOne.

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License

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LICENSE_COMMA

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