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Graph common-edge detection method, device and equipment and computer readable medium

A detection method and graphic technology, applied in the field of image recognition, can solve problems such as inaccurate results of graphic co-edge, achieve the effect of improving accuracy and simplifying the process

Pending Publication Date: 2021-01-05
JINGDONG TECH HLDG CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a graphic co-edge detection method, device, equipment and computer-readable medium to solve the technical problem of inaccurate graphic co-edge results

Method used

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  • Graph common-edge detection method, device and equipment and computer readable medium
  • Graph common-edge detection method, device and equipment and computer readable medium
  • Graph common-edge detection method, device and equipment and computer readable medium

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Embodiment Construction

[0040] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, but not all of them. Based on the embodiments in the present application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present application.

[0041] In the following description, use of suffixes such as 'module', 'part' or 'unit' for denoting elements is only for facilitating the description of the present application and has no specific meaning by itself. Therefore, "module" and "component" may be mixedly used.

[0042]In the process of implementing the embodiments of the p...

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Abstract

The invention relates to a graph common-edge detection method, device and equipment and a computer readable medium. The method comprises the steps: acquiring a first graph and a second graph, whereinthe first graph is a to-be-edge-shared graph, and the second graph is a reference graph; performing target Boolean operation on the first graph and the second graph; and determining a first edge between the first graph and the second graph according to an operation result of the target Boolean operation, wherein the first edge is a common edge of the first graph and the second graph. According tothe invention, Boolean operation is carried out on the graphs to judge whether the two graphs have a relationship or not and change the graphs needing edge sharing so as to achieve accurate labeling of the intersection part between the objects in the images, so that the accuracy of the graph edge sharing result is improved, and the graph edge sharing detection process is simplified.

Description

technical field [0001] The present application relates to the technical field of image recognition, and in particular to a method, device, equipment and computer-readable medium for graphic co-edge detection. Background technique [0002] With the maturity and deepening of artificial intelligence research, big data has become the basis of artificial intelligence research. Big data analysis needs to guide the model to learn through a large amount of labeled data, especially in image recognition. Labeling data requires different objects in the image, Label different objects. The result of data annotation will directly affect the learning effect of the model. Therefore, it is an urgent problem to accurately mark the contours of different objects, especially when the objects have overlapping parts. [0003] For the above problems, no effective solution has been proposed yet. Contents of the invention [0004] The application provides a graphic co-edge detection method, devic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13
CPCG06T7/13
Inventor 董豪豪文茉莉王建军杨杨刘甲文郝悦李艳学熊晨序贾俊蕊张佳佳刘香君李江宁
Owner JINGDONG TECH HLDG CO LTD
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