Clothing identification method and device, equipment and storage medium

Abstract

The embodiment of the invention provides a clothing identification method and device, equipment and a storage medium. The method comprises the following steps: extracting key frames at multiple different moments from a to-be-identified video; carrying out clothing area detection on the key frame; for the detected target clothing area, extracting at least one feature of the target clothing area; based on the at least one feature of each target clothing area, clustering each target clothing area to obtain at least one type of target clothing area; for each type of target clothing areas, performing clothing identification on each target clothing area in the type of target clothing areas to obtain an identification result of each target clothing area, where the identification result of each target clothing area comprises at least one candidate style; and selecting at least one candidate style from the identification result of each target clothing area in the type of target clothing areas to serve as the identification result of the type of target clothing areas. Therefore, the accuracy of clothing identification is improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a clothing identification method, device, equipment and storage medium. Background technique [0002] Clothing is an indispensable article in people's daily life. With the emergence of online shopping platforms, people often buy clothing on online shopping platforms, which greatly facilitates people's lives. In related technologies, in order to further provide convenience for people, clothing appearing in a video can be identified through clothing recognition technology to provide people with relevant clothing information. The existing clothing recognition technology is still in the development stage, and the recognition accuracy rate is still low, which makes it difficult to meet the recognition requirements of practical application scenarios. For example, the maximum accuracy rate of most clothing recognition technologies based on open source data sets is lower...

AI Technical Summary

Problems solved by technology

The existing clothing recognition technology is still in the development stage, and the recognition accuracy rate is still low, which makes it difficult to meet the recognition requirements of practical application scenarios. For example, the maximum accuracy rate of most clothing recognition technologies based on open source data sets is lower than 70%. It is difficult to meet the recognition requirement that the accuracy rate required by the actual application scenario is higher than 90%.

In particular, the following recognition problems are prone to occur: since the clothing is a non-rigid object, the difference in the posture of the characters is likely to cause the occlusion and incomplete exposure of the clothing area, which may lead to t 1 Moment (such as the moment when the front of the garment is shown) is related to t 2 Moments (such as the moment when the back of the garment is shown) the same garment at two different times are identified as different garments, or t 3 Moments (such as showing the back of a plain white T-shirt) are associated with t 4 Moment (for example, showing the back of a T-shirt with a large area on the front and chest, but the back is pure white) two different clothes appearing at two different moments are recognized as the same clothes. The ambiguity problem is the clothing recognition in the video serious challenge

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