Image processing method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of artificial intelligence, and provides an image processing method and device, electronic equipment and a storage medium. The method includes receiving auser image; inputting the user image into a first algorithm model to obtain an identification result; receiving a label of the identification result, and determining a first image and a second image from the user images; adding the first image to a positive sample library, and adding the second image to a negative sample library; obtaining a positive sample image from a positive sample library, and obtaining a negative sample image from a negative sample library; training the first algorithm model by adopting the positive sample image and the negative sample image to obtain a second algorithmmodel; and when the to-be-processed image is received, processing the to-be-processed image by using the second algorithm model to generate an electronic identification photo. The invention can be applied to the fields of smart government affairs, smart medical treatment, smart transportation and the like needing certificate photo image processing, so that the development of smart cities is promoted.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an image processing method, device, electronic equipment and storage medium. Background technique [0002] With the rapid development of image processing technology, relying on artificial intelligence image algorithms has been able to realize image simulation in various scenes and generate photos that meet the requirements for users. At present, there are many application software for ID photo generation, which allow users to generate ID photos online to handle various businesses without leaving home. [0003] However, in practice, it is found that the artificial intelligence image algorithm that the application software relies on needs to be retrained and deployed a new algorithm framework at regular intervals. However, since the training of the artificial intelligence image algorithm and the iteration of the application software are layered and decoupled...

AI Technical Summary

Problems solved by technology

[0003] However, in practice, it is found that the artificial intelligence image algorithm that the application software relies on needs to be retrained and deployed a new algorithm framework at regular intervals. However, since the training of the artificial intelligence image algorithm and the iteration of the application software are layered and decoupled , this will easily lead to the artificial intelligence image algorithm not being able to be adjusted in time according to the operation of the business, so that the update of the application software is not timely, resulting in a low accuracy of the image quality detection of the application software when generating the ID photo, thus affecting the ID photo. The generation effect of

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