公开(公告)号：US20240135139A1

公开(公告)日：2024-04-25

申请号：US18136709

申请日：2023-04-19

Applicant: Imagination Technologies Limited

Inventor： Paul Brasnett ,  Daniel Valdez Balderas ,  Cagatay Dikici ,  Szabolcs Csefalvay ,  David Hough ,  Timothy Smith ,  James Imber

IPC: G06N3/02 ,  G06F17/15 ,  G06F17/16 ,  G06N3/063 ,  G06N3/08

CPC classification number: G06N3/02 ,  G06F17/15 ,  G06F17/16 ,  G06N3/063 ,  G06N3/08

Abstract: Methods and systems for implementing a traditional computer vision algorithm as a neural network. The method includes: receiving a definition of the traditional computer vision algorithm that identifies a sequence of one or more traditional computer vision algorithm operations; mapping each of the one or more traditional computer vision algorithm operations to a set of one or more neural network primitives that is mathematically equivalent to that traditional computer vision algorithm operation; linking the one or more network primitives mapped to each traditional computer vision algorithm operation according to the sequence to form a neural network representing the traditional computer vision algorithm; and configuring hardware logic capable of implementing a neural network to implement the neural network that represents the traditional computer vision algorithm.

公开(公告)号：US11636306B2

公开(公告)日：2023-04-25

申请号：US16418322

申请日：2019-05-21

Applicant: Imagination Technologies Limited

Inventor： Paul Brasnett ,  Daniel Valdez Balderas ,  Cagatay Dikici ,  Szabolcs Cséfalvay ,  David Hough ,  Timothy Smith ,  James Imber

IPC: G06N3/00 ,  G06N3/02 ,  G06F17/15 ,  G06F17/16 ,  G06N3/063 ,  G06N3/08

Abstract: Methods and systems for implementing a traditional computer vision algorithm as a neural network. The method includes: receiving a definition of the traditional computer vision algorithm that identifies a sequence of one or more traditional computer vision algorithm operations; mapping each of the one or more traditional computer vision algorithm operations to a set of one or more neural network primitives that is mathematically equivalent to that traditional computer vision algorithm operation; linking the one or more network primitives mapped to each traditional computer vision algorithm operation according to the sequence to form a neural network representing the traditional computer vision algorithm; and configuring hardware logic capable of implementing a neural network to implement the neural network that represents the traditional computer vision algorithm.

公开(公告)号：US20190354844A1

公开(公告)日：2019-11-21

申请号：US16418322

申请日：2019-05-21

Applicant: Imagination Technologies Limited

Inventor： Paul Brasnett ,  Daniel Valdez Balderas ,  Cagatay Dikici ,  Szabolcs Cséfalvay ,  David Hough ,  Timothy Smith ,  James Imber

IPC: G06N3/063 ,  G06N3/08 ,  G06F17/16 ,  G06F17/15

Abstract: Methods and systems for implementing a traditional computer vision algorithm as a neural network. The method includes: receiving a definition of the traditional computer vision algorithm that identifies a sequence of one or more traditional computer vision algorithm operations; mapping each of the one or more traditional computer vision algorithm operations to a set of one or more neural network primitives that is mathematically equivalent to that traditional computer vision algorithm operation; linking the one or more network primitives mapped to each traditional computer vision algorithm operation according to the sequence to form a neural network representing the traditional computer vision algorithm; and configuring hardware logic capable of implementing a neural network to implement the neural network that represents the traditional computer vision algorithm.