CPC G06T 7/11 (2017.01) [G05D 1/0088 (2013.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06T 5/50 (2013.01); G06T 7/10 (2017.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06T 2207/10028 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01); G06V 10/454 (2022.01)] | 27 Claims |
1. A method comprising:
applying, to a neural network, data representative of one or more images of an environment;
generating, using the neural network and based at least in part on the data:
a first output representative of, for each pixel of a plurality of pixels, one or more classifications corresponding to one or more detected objects in the environment; and
a second output representative of, for each pixel of the plurality of pixels, one or more values representative of an association between the pixel and one or more instances of the one or more detected objects;
generating, based at least in part on the second output, one or more bounding shapes corresponding to the one or more instances of the one or more detected objects;
associating the one or more classifications with the one or more bounding shapes; and
performing one or more operations by an autonomous machine based at least in part on the one or more classifications associated with the one or more bounding shapes.
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