×

Generating a machine learning model for objects based on augmenting the objects with physical properties

  • US 10,565,475 B2
  • Filed: 04/24/2018
  • Issued: 02/18/2020
  • Est. Priority Date: 04/24/2018
  • Status: Active Grant
First Claim
Patent Images

1. A device, comprising:

  • one or more memories; and

    one or more processors, communicatively coupled to the one or more memories, to;

    receive images of a video stream, three-dimensional models for objects in the images, and physical property data for the objects;

    map the three-dimensional models and the physical property data to the objects in the images to generate augmented data sequences with the objects;

    apply different physical properties, of the physical property data, to the objects in the augmented data sequences, based on an augmentation policy, to generate augmented data sequences with different applied physical properties;

    train a machine learning model based on the images of the video stream to generate a first trained machine learning model;

    train the machine learning model, based on the augmented data sequences with the different applied physical properties, to generate a second trained machine learning model;

    compare the first trained machine learning model and the second trained machine learning model;

    determine whether the second trained machine learning model is optimized based on a result of comparing the first trained machine learning model and the second trained machine learning model; and

    provide the second trained machine learning model and the different applied physical properties when the second trained machine learning model is optimized.

View all claims
  • 1 Assignment
Timeline View
Assignment View
    ×
    ×