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Component identification method and device, training set construction method and device, equipment and storage medium

A technology for constructing training sets and training sets, which is applied in the field of building training sets and component recognition, which can solve the problems of poor recognition effect of recognition models and limited number of samples, and achieve the goal of improving uneven distribution, increasing diversity, and increasing the number of samples Effect

Active Publication Date: 2021-11-16
WANYI TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides a method for component identification, a method for constructing a training set, a device, equipment, and a storage medium to solve the problem of poor recognition effect of the recognition model due to the limited number of samples in the process of intelligent drawing review

Method used

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  • Component identification method and device, training set construction method and device, equipment and storage medium
  • Component identification method and device, training set construction method and device, equipment and storage medium

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Embodiment Construction

[0055]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.

[0056] The inventor found in actual work that the number of different components in the architectural drawings is different, resulting in unbalanced training data samples, and the number of different components presents a long-tail distribution, especially for some components that do not appear frequently, the training samples are few, ma...

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Abstract

The invention relates to a component identification method and device, a training set construction method and device, equipment and a storage medium, and the method for constructing a training set comprises the steps of determining that a target component exists in a first architectural drawing; performing data enhancement on the first architectural drawings to obtain a drawing set of the first architectural drawings; for each drawing of the drawing set, selecting at least two different initial positions on the drawing, and segmenting the drawing according to the initial positions to obtain a plurality of sub-graphs; obtaining a target sub-graph containing the target component from the plurality of sub-graphs, wherein the target sub-graph is used for constructing a training set of the target component. The invention is used for solving the problem of poor recognition effect of a recognition model caused by limited sample quantity in an intelligent drawing auditing process.

Description

technical field [0001] The present application relates to the field of intelligent drawing review, in particular to a method, device, equipment and storage medium for constructing a training set and a method for component recognition. Background technique [0002] Along with the rapid development of the economy, the construction industry has also been vigorously developed. Architectural drawings are an important basis for construction. There are many components in architectural drawings, and the design of each component should comply with the corresponding national norms and industry standards. Qualified architectural drawings are crucial to ensuring the safety of residents. [0003] Identifying components is an important part of automatic review of architectural drawings. Currently, neural networks, such as convolutional neural CNNs, can be used to identify and locate building components. However, when the neural network recognizes the target, it needs to use a large numb...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/23213
Inventor 蒋梦莹祝汉武夏晨曦
Owner WANYI TECH
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