公开(公告)号：US12045310B2

公开(公告)日：2024-07-23

申请号：US17469274

申请日：2021-09-08

Applicant: Peng Cheng Laboratory

Inventor： Tao Wei ,  Yonghong Tian ,  Yaowei Wang ,  Yun Liang ,  Chang Wen Chen ,  Wen Gao

IPC: G06F18/21 ,  G06N3/02

CPC classification number: G06F18/21 ,  G06N3/02

Abstract: Disclosed is a method and system for achieving optimal separable convolutions, the method is applied to image analyzing and processing and comprises steps of: inputting an image to be analyzed and processed; calculating three sets of parameters of a separable convolution: an internal number of groups, a channel size and a kernel size of each separated convolution, and achieving optimal separable convolution process; and performing deep neural network image process. The method and system in the present disclosure adopts implementation of separable convolution which efficiently reduces a computational complexity of deep neural network process. Comparing to the FFT and low rank approximation approaches, the method and system disclosed in the present disclosure is efficient for both small and large kernel sizes and shall not require a pre-trained model to operate on and can be deployed to applications where resources are highly constrained.

公开(公告)号：US20230412769A1

公开(公告)日：2023-12-21

申请号：US18037408

申请日：2021-04-13

Applicant: PENG CHENG LABORATORY

Inventor： Wen Gao ,  Yaowei Wang ,  Xinbei Bai ,  Wen Ji ,  Yonghong Tian

IPC: H04N7/18 ,  G06V20/40

CPC classification number: H04N7/181 ,  G06V20/40

Abstract: A visual computing system is disclosed. The visual computing system may include a front-end device, an edge service and a cloud service which are in communication connection, the front-end device is configured to output compressed video data and feature data, the edge service is configured to store the video data, and converge the feature data, transmit various types of data and control commands, and the cloud service is configured to store algorithm models used to support various applications, and return a model stream according to a model query command, realizing a data transmission architecture with multiple streams of video stream, feature stream, and model stream in parallel, and a system architecture of end, edge, and cloud collaboration.