公开(公告)号：US20220147795A1

公开(公告)日：2022-05-12

申请号：US17583053

申请日：2022-01-24

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jieyu Chu ,  Dezhou Ye ,  Yuzhou Hu

IPC: G06N3/04 ,  G06F12/06

Abstract: A neural network tiling method includes: obtaining a neural network graph, where the neural network graph is used to represent a neural network; tiling the neural network graph to obtain a depth subgraph, where a plurality of vertices included in the depth subgraph exchange data with each other by reading and writing an on-chip buffer, the depth subgraph is used to successively process at least two groups of data obtained by tiling first input data, to obtain first output data, and the first input data is input data of the depth subgraph. In the method, a neural network tiling apparatus tiles a neural network graph to obtain one or more depth subgraphs.

公开(公告)号：US20230214955A1

公开(公告)日：2023-07-06

申请号：US18184659

申请日：2023-03-16

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Fei Huang ,  Cui Hu ,  Weicheng Zhang ,  Jieyu Chu ,  Qiushi Qin

IPC: G06T1/20

CPC classification number: G06T1/20

Abstract: Embodiments of this disclosure provide an electronic apparatus and an image processing method of the electronic apparatus. The electronic apparatus includes: an artificial intelligence (AI) processor, configured to perform first image signal processing on a first image signal to obtain a second image signal, where the first image signal is obtained based on image data output by an image sensor; and an image signal processor (ISP), configured to perform second image signal processing on the second image signal to obtain an image processing result. In this way, image processing can be flexibly performed by the ISP in combination with the AI processor, and the image processing result is improved.