| CPC G06V 10/255 (2022.01) [G06F 18/22 (2023.01); G06T 7/11 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01)] | 20 Claims |
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1. A neural network system, comprising:
a processor configured to detect a plurality of object candidates included in a first image, generate metadata corresponding to the plurality of object candidates based on the first image, and set data processing orders of the plurality of object candidates based on the metadata; and
at least one resource configured to perform data processing with respect to the plurality of object candidates,
wherein the processor is further configured to sequentially provide pieces of information related to data processing of the plurality of object candidates to the at least one resource according to the set data processing orders of the plurality of object candidates,
wherein the at least one resource is further configured to sequentially perform data processing with respect to the plurality of object candidates according to an order in which a piece of information related to data processing of each of the plurality of object candidates is received,
wherein the at least one resource is further configured to perform first object recognition with respect to a first object candidate of a first order, and execute a first task corresponding to a result of the first object recognition, the first task being related to an operation of generating a control command for controlling a device to which the neural network system is applied, and
wherein the processor is further configured to, based on completion of the first task, provide a piece of information related to data processing of a second object candidate of a next order to the first order, among the plurality of object candidates, to the at least one resource.
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