Garment fabric automatic identification method, device and system, equipment and storage medium

Abstract

The embodiment of the invention discloses a garment material automatic identification method, device, system and equipment and a computer readable storage medium. The method comprises the following steps: triggering an image shooting instruction when a position relationship between a microscopic camera and a to-be-shot garment meets a preset shooting condition, so that the microscopic camera automatically shoots the to-be-shot garment according to a preset image magnification ratio; when the garment image collected by the microscopic camera is received, automatically identifying and outputtinga fabric category of the garment image by utilizing a pre-constructed garment fabric identification model; wherein the clothing fabric recognition model is obtained by training a neural network modelby utilizing an image sample set based on a meta-learning method; wherein the image sample set comprises a plurality of clothing sample images carrying clothing fabric category labels. According to the invention, the garment material identification automation is realized, the garment material identification efficiency is improved, and the garment material identification cost is reduced.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of image recognition, in particular to a method, device, system, equipment and computer-readable storage medium for automatic recognition of clothing fabrics. Background technique [0002] In the clothing sales industry, especially online sales, it is often necessary to use high-quality clothing images and corresponding clothing information descriptions to display clothing to customers. [0003] Related technologies usually rely on manual shooting of clothing images, and then rely on manual identification of clothing fabrics and adding fabric information in the clothing information description. However, manual shooting not only requires very high quality photographers, but also has relatively low shooting efficiency, especially for large-scale clothing shooting application scenarios, and the shooting cost is relatively high. In addition, it is impossible to accurately distinguish t...

AI Technical Summary

Problems solved by technology

Therefore, the identification of clothing fabrics is a very critical and cumbersome task. At present, the identification of clothing fabrics is still mainly done manually, which is not only relatively inefficient, but also high in cost.

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