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Test method and device for searching images by images based on multiple scenes, product and storage medium

A testing method and multi-scenario technology, applied in the direction of neural learning methods, instruments, biological neural network models, etc., to achieve the effect of improving feature extraction accuracy, improving efficiency, and high practicability

Pending Publication Date: 2022-05-31
以萨技术股份有限公司
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Problems solved by technology

[0007] Embodiments of the present disclosure provide a multi-scenario-based search-by-picture test method device, product, and storage medium to solve technical problems in multi-scenario applications

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  • Test method and device for searching images by images based on multiple scenes, product and storage medium
  • Test method and device for searching images by images based on multiple scenes, product and storage medium
  • Test method and device for searching images by images based on multiple scenes, product and storage medium

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Embodiment Construction

[0047] In order to understand the characteristics and technical content of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. The attached drawings are only for reference and description, and are not intended to limit the embodiments of the present disclosure. In the following technical description, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawings.

[0048] The terms "first", "second" and the like in the description and claims of the embodiments of the present disclosure and the above drawings are used to distinguish similar objects, and are not necessarily used...

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Abstract

The invention relates to the technical field of deep learning and artificial intelligence, and discloses a multi-scene-based image search test method, which comprises the following steps of: selecting data of the same category from a database to obtain an initial data group, and selecting a retrieval data group from the initial data group; loading data of the initial data set and the retrieval data set into a memory through a LOADDATA method in a test script; extracting features in the data of the retrieval data set through an improved RepVGG algorithm; comparing the features to obtain a test result; and outputting the test result to generate a test report. According to the method, the retesting efficiency is improved, the practicability of an original algorithm model in a specific scene is higher, and the feature extraction precision is improved. The invention further discloses a multi-scene-based image searching and testing device, a product and a storage medium.

Description

technical field [0001] This application relates to the technical field of deep learning and artificial intelligence, for example, it relates to a multi-scenario-based search-by-picture test method, device, product and storage medium. Background technique [0002] At present, the data information of images on the Internet is becoming larger and larger, and the requirements of users for image search are also increasing. Person re-identification (Person re-identification), also known as person re-identification, is to use computer vision technology to judge whether there is a person in an image or video sequence. Pedestrian-specific techniques. [0003] In the existing image search test scheme, the ReID algorithm is usually used. [0004] In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in related technologies: [0005] Due to the many and complex actual scenarios, existing ReID algorithms cannot ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/10G06V10/776G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/217
Inventor 田煜李凡平石柱国
Owner 以萨技术股份有限公司
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