House type recognition model training method and device and house type weight judgment method and device

A technology for identifying models and training methods, applied in the computer field, can solve problems such as low processing efficiency, low work efficiency, and high error rate, and achieve the effects of improving efficiency, reducing difficulty, and improving operation efficiency

Pending Publication Date: 2020-08-25
上海天猫好房添玑网络服务有限公司
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Problems solved by technology

[0003] In the prior art, there is no mature method for automatic comparison of floor plans, and most of them are still using manual comparison or combining simple image detection methods to assist in analyzing the entire ...

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  • House type recognition model training method and device and house type weight judgment method and device
  • House type recognition model training method and device and house type weight judgment method and device
  • House type recognition model training method and device and house type weight judgment method and device

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Embodiment Construction

[0080] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0081] Terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only, and are not intended to limit one or more embodiments of this specification. As used in one or more embodiments of this specification and the appended claims, the singular forms "a", "the", and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of the present ...

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Abstract

The invention provides a house type recognition model training method and device and a house type repetition judgment method and device. The house type repetition judgment method comprises the steps of acquiring at least two house type images to be subjected to repetition judgment; inputting the to-be-duplicated house type graph into a house type recognition model, and obtaining a prediction valueof each to-be-duplicated house type graph output by the house type recognition model; based on the prediction value of each to-be-judged repeated house type graph, obtaining a to-be-judged repeated house type graph, and performing duplicate judgment on the at least two house type images to be subjected to duplicate judgment, thereby realizing extraction of the prediction value of the input housetype image to be subjected to duplicate judgment by using the house type recognition model, and performing duplicate judgment on the at least two house type images to be subjected to duplicate judgment based on the prediction value of the house type image to be subjected to duplicate judgment, thereby replacing manual duplicate judgment and improving the efficiency.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a method and device for training a house type recognition model, a method and device for judging the weight of a house type, a computing device, and a computer-readable storage medium. Background technique [0002] In recent years, with the rapid development of neural network technology, computer vision has been applied in many fields, such as the application of computer vision technology in the recognition of house type maps in the real estate field. Specifically, in the field of real estate, there will be a need to determine the same floor plan, and it is necessary to judge whether the floor plans of two house types are the same. [0003] In the prior art, there is no mature method for automatic comparison of floor plans, and most of them are still using manual comparison or combining simple image detection methods to assist in analyzing the entire outline struc...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/22G06F18/214
Inventor 邓志杰齐放
Owner 上海天猫好房添玑网络服务有限公司
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