Skip to main content

Making a game with PoseNet, a pose estimator model

  • Chapter
  • First Online:
Practical TensorFlow.js

Abstract

Time for a fun application! Are you ready to pose? I hope so, because in this exercise your movements are the testing dataset.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://github.com/tensorflow/tfjs-models/blob/master/posenet/demos/demo_util.js

  2. 2.

    https://developer.mozilla.org/en-US/docs/Web/API/MediaDevices/getUserMedia

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Juan De Dios Santos Rivera

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rivera, J.D.D.S. (2020). Making a game with PoseNet, a pose estimator model. In: Practical TensorFlow.js. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6273-3_5

Download citation

Publish with us

Policies and ethics