Corpus ID: 195069430

MediaPipe: A Framework for Building Perception Pipelines

  title={MediaPipe: A Framework for Building Perception Pipelines},
  author={C. Lugaresi and Jiuqiang Tang and H. Nash and Chris McClanahan and Esha Uboweja and M. Hays and Fan Zhang and Chuo-Ling Chang and M. Yong and J. Lee and W. Chang and W. Hua and M. Georg and M. Grundmann},
  • C. Lugaresi, Jiuqiang Tang, +11 authors M. Grundmann
  • Published 2019
  • Computer Science
  • ArXiv
  • Building applications that perceive the world around them is challenging. A developer needs to (a) select and develop corresponding machine learning algorithms and models, (b) build a series of prototypes and demos, (c) balance resource consumption against the quality of the solutions, and finally (d) identify and mitigate problematic cases. The MediaPipe framework addresses all of these challenges. A developer can use MediaPipe to build prototypes by combining existing perception components… CONTINUE READING
    23 Citations

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