Lazy Convenient clothes matching advice system based on electronic commerce

Abstract

The invention provides a lazyconvenient clothes matching advice system based on the electronic commerce. The lazyconvenient clothes matching advice system based on the electronic commerce comprises a human body model generation module, a human face identification and human body identification module, a clothes database search module, a matching charting module and an API (application program interface) interface, wherein the human body model generation module generates a human body model picture according to a whole-body picture uploaded by a user as well as data, such as the gender and the height input by the user; the human face identification and human body identification module obtains a human face identification and human body identification analysis result according to the whole-body picture uploaded by the user; the clothes database search module searches to obtain one or a plurality of matched clothes according to the human face identification and human body identification analysis result as well as the data, such as the gender, the height and the temperature input by the user; and the matching charting module adds the one or a plurality of matched clothes obtained by searching onto the generated human body model picture to generate one or a plurality of matching effect pictures. According to the lazyconvenient clothes matching advice system based on the electronic commerce, which is disclosed by the invention, the clothes matching effect can be obtained before a the user purchases the clothes on the internetInternet.

Description

technical field [0001] The invention relates to a styling suggestion system, in particular to an e-commerce based lazy person matching and dressing suggestion system. Background technique [0002] At present, with the development of network technology, more and more people choose to buy things online considering factors such as time, economy, and geography. The variety of trendy outfits on the Internet, low prices, and the blurring of geography make it more and more popular. Many young people like and are enthusiastic about online shopping. But when buying clothes online, many people worry about what type of clothes to wear, what color to wear, whether the clothes are suitable for them, and how to match them. Contents of the invention [0003] The present invention proposes an e-commerce-based "lazy" dressing suggestion system, also known as "electronic stylist". Automatically search and match clothes in the store, add the searched clothes to the generated mannequin pict...

AI Technical Summary

Problems solved by technology

But when buying clothes online, many people worry about what kind of clothes to wear, what color to wear, whether the clothes are suitable for them, what kind of matching should be done, etc.

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