公开(公告)号：US11310559B2

公开(公告)日：2022-04-19

申请号：US16255725

申请日：2019-01-23

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Hang Jiang ,  Minghao Liu ,  Yang Liang ,  Shuangshuang Qiao ,  Siyu An ,  Kaihua Song ,  Xiangyue Lin ,  Hua Chai ,  Faen Zhang ,  Jiangliang Guo ,  Jingbo Huang ,  Xu Li ,  Jin Tang ,  Shiming Yin

IPC: H04N21/466

Abstract: Embodiments of the present disclosure disclose a method and apparatus for recommending a video. A specific implementation of the method includes: finding a recommended video corresponding to a target video from all candidate videos based on similarities of content characteristics of the videos, the target video being a video to be played on a terminal of a user; and sending play information of the recommended video corresponding to the target video to the terminal of the user. The method finds a video similar on video content to the target video that the user desires to view based on the content characteristic of the video, and recommends the video similar on video content to the target video that the user desires to view to the user.

公开(公告)号：US20190213734A1

公开(公告)日：2019-07-11

申请号：US16165518

申请日：2018-10-19

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Jiabing Leng ,  Minghao Liu ,  Yang Liang ,  Yawei Wen ,  Faen Zhang ,  Jiangliang Guo ,  Jin Tang ,  Shiming Yin

IPC: G06T7/00

Abstract: The application provides a method and a device for detecting a defect in a steel plate, as well as an apparatus and a server therefor. The method for detecting a defect in a steel plate comprises: receiving image data of the steel plate, and generating a defect detection request according to the image data; monitoring computing loads of a plurality of servers, and sending the image data and the defect detection request to a first server; receiving, from the first server, a detection result obtained by calculating the image data using the detection model; and operating according to the detection result, wherein the detection result comprises a selected one of a pass result and a defect result. With the proposed method, the position and the classification of the at least one defect can be obtained, so that the detection accuracy is improved.

公开(公告)号：US11762697B2

公开(公告)日：2023-09-19

申请号：US16248560

申请日：2019-01-15

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Kun Liu ,  Kai Zhou ,  Qian Wang ,  Yuanhao Xiao ,  Lan Liu ,  Dongze Xu ,  Tianhan Xu ,  Jiangliang Guo ,  Jin Tang ,  Faen Zhang ,  Shiming Yin

IPC: G06N3/08 ,  G06F9/50 ,  G06F18/2413 ,  G06V10/764 ,  G06V10/82 ,  G06F18/21

CPC classification number: G06F9/5027 ,  G06F9/5011 ,  G06F18/24143 ,  G06N3/08 ,  G06V10/764 ,  G06V10/82 ,  G06F18/21

Abstract: The present disclosure discloses a method and apparatus for scheduling a resource for a deep learning framework. The method can comprise: querying statuses of all deep learning job objects from a Kubernetes platform at a predetermined interval; and submitting, in response to finding from the queried deep learning job objects a deep learning job object having a status conforming to a resource request submission status, a resource request to the Kubernetes platform to schedule a physical machine where the Kubernetes platform is located to initiate a deep learning training task. The method can completely automate the allocation and release on the resource of the deep learning training task.

公开(公告)号：US20190228303A1

公开(公告)日：2019-07-25

申请号：US16248560

申请日：2019-01-15

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Kun LIU ,  Kai Zhou ,  Qian Wang ,  Yuanhao Xiao ,  Lan Liu ,  Dongze Xu ,  Tianhan Xu ,  Jiangliang Guo ,  Jin Tang ,  Faen Zhang ,  Shiming Yin

IPC: G06N3/08 ,  G06F9/50

Abstract: The present disclosure discloses a method and apparatus for scheduling a resource for a deep learning framework. The method can comprise: querying statuses of all deep learning job objects from a Kubernetes platform at a predetermined interval; and submitting, in response to finding from the queried deep learning job objects a deep learning job object having a status conforming to a resource request submission status, a resource request to the Kubernetes platform to schedule a physical machine where the Kubernetes platform is located to initiate a deep learning training task. The method can completely automate the allocation and release on the resource of the deep learning training task.

公开(公告)号：US10769774B2

公开(公告)日：2020-09-08

申请号：US16165518

申请日：2018-10-19

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Jiabing Leng ,  Minghao Liu ,  Yang Liang ,  Yawei Wen ,  Faen Zhang ,  Jiangliang Guo ,  Jin Tang ,  Shiming Yin

IPC: G06T7/00 ,  G06K9/00

Abstract: The application provides a method and a device for detecting a defect in a steel plate, as well as an apparatus and a server therefor. The method for detecting a defect in a steel plate comprises: receiving image data of the steel plate, and generating a defect detection request according to the image data; monitoring computing loads of a plurality of servers, and sending the image data and the defect detection request to a first server; receiving, from the first server, a detection result obtained by calculating the image data using the detection model; and operating according to the detection result, wherein the detection result comprises a selected one of a pass result and a defect result. With the proposed method, the position and the classification of the at least one defect can be obtained, so that the detection accuracy is improved.