Method, system, electronic device and storage medium for automatic extraction of house type features

Abstract

The present invention provides a method, system, electronic device and storage medium for automatically extracting house type features. The automatic extracting method includes: reading the vector information of a target house type image; inputting the vector information of the target house type image into a preset house type feature extraction In the model, the feature label corresponding to the target house type image is obtained, wherein the one-to-one correspondence between each vector information and the feature label is stored in the house type feature extraction model; according to the preset scoring rules, the target Scoring each feature tag of the house type image, and counting the scores of all the feature tags of the target house type image to obtain a total score of the target house type image; and outputting the feature tags and the total score of the target house type image. The invention can efficiently, accurately and automatically extract various features of the house type, thereby effectively reducing manpower and time costs.

Description

technical field [0001] The present invention relates to the technical field of feature extraction, in particular to a method, system, electronic equipment and storage medium for automatic extraction of house type features. Background technique [0002] When users choose a house type, they usually pay the most attention to the characteristics of the house type. For example, the lighting of the house type should be good, the ventilation should be smooth, and it is best to have drafts. Orientation and window view are also very important, and the living room and bedroom are separated, and the kitchen and dining room are separated, but they should be next to each other, and the door should not face the living room directly. [0003] At present, the extraction of the key features of the house type, such as the north-south transparency, the house type founder, the full-bright pattern, etc., is still in the stage of manual extraction, relying entirely on human experience or the nake...

AI Technical Summary

Problems solved by technology

[0004] However, the above method is time-consuming and labor-intensive to manually extract the features of a house type. There are dozens of features to describe a house type. Relying on human eye recognition may easily cause feature extraction omissions. In addition, some house types have complex feature determination conditions and rely on manual labor. extract inaccurate questions

Images