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Real-time deployment of machine learning systems

  • US 10,671,934 B1
  • Filed: 07/16/2019
  • Issued: 06/02/2020
  • Est. Priority Date: 07/16/2019
  • Status: Active Grant
First Claim
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1. A system comprising one or more processors, and a non-transitory computer-readable medium including one or more sequences of instructions that, when executed by the one or more processors, cause the system to perform operations comprising:

  • receiving video data, the video data having been obtained from a video image capture device;

    converting the received video data into multiple video frames encoded into a particular color space format;

    rendering a first display output depicting imagery from the multiple encoded video frames;

    performing an inference on the multiple video frames using a machine learning network;

    determining the occurrence of one or more objects in the multiple encoded video frames based on the performed inference on the multiple video frames;

    in response to determining the occurrence of one or more objects, generating for a determined object, coordinates describing a bounding perimeter about the determined object;

    rendering a second display output depicting graphical information in a form corresponding to the coordinates of the bounding perimeter for the determined one or more objects from the multiple encoded video frames; and

    generating a composite display output, wherein the composite display output includes the imagery of the first display output overlaid with the graphical information of the second display output.

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