House type shape identification method, device and equipment

Abstract

The invention provides a house type shape identification method, a device and equipment, and relates to the technical field of image processing. The method comprises steps of obtaining house type graph to be identified; inputting the house type graph into a pre-established house type shape identification model, and outputting a identification result of the house type graph, wherein the house typeshape identification model is established by the following steps: acquiring a set number of house type graph samples and corresponding identification information; establishing a network structure of the convolutional neural network; inputting the house type graph sample, the house type shape information and the structure information marked in the house type image sample into a convolutional neuralnetwork for training; carrying out adjustion and optimization on trained nerural network to obtain the trained house type shape identification model. The technical problems that in the prior art, when the number of house type graphs is large, an existing manual mode is low in identification efficiency and accuracy are solved, and the house type shape identification efficiency and accuracy are improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method, device and equipment for household type and shape recognition. Background technique [0002] Home decoration design refers to the home decoration design, the planning and design of the functional pattern and the decoration design of each space interface before the formal decoration of the home starts. In home decoration design, it is necessary to comprehensively consider the room shape of the floor plan. The room shapes of the floor plan mainly include: square, rectangle, L shape, polygon, concave shape, convex shape, etc. [0003] Before home decoration design, it is first necessary to obtain the geometric vector data of the room shape image of the floor plan. At present, these data are generated manually through manual recognition. When the number of floor plans is large, the recognition efficiency and accuracy of the existing manual method are low. ...

AI Technical Summary

Problems solved by technology

[0003] Before home decoration design, it is first necessary to obtain the geometric vector data of the room shape image of the floor plan. At present, these data are manually generated through manual recognition. When the number of floor plans is large, the recognition efficiency and accuracy of the existing manual method are low.

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