Image processing method, device and equipment and storage medium

Abstract

The invention discloses an image processing method, device and equipment and a storage medium, and relates to the field of image processing, in particular to the fields of deep learning, artificial intelligence and intelligent search. According to the specific implementation scheme, the method comprises the steps: acquiring a target video, wherein the target video comprises at least one image frame containing motion actions of a user; determining the category of each motion action in the image frame; determining a false action image frame in the image frames based on the category; and correcting the wrong action in the wrong action image frame to generate a correct action image frame. According to the implementation mode, the wrong action image frame is determined according to the categoryof each motion action in the image frame in the target video, and the wrong action of the determined wrong action image frame is corrected, so that a coach can conveniently guide the action of a student, the review of the student is facilitated, the training quality of the student is effectively promoted, and the utilization rate of a large number of training videos is improved.

Description

technical field [0001] The present application relates to the field of image processing, specifically to the fields of deep learning, artificial intelligence, and intelligent search, and in particular to methods, devices, equipment, and storage media for image processing. Background technique [0002] In order to train more targetedly, the coaches and athletes of the diving team need to analyze and summarize the video playback of daily training. However, under the traditional technology, the efficiency of using a large number of training videos generated every day is not high. It is mainly reflected in the following aspects: [0003] The national diving team produces a large number of training videos every day, but it is difficult for athletes to pick out their own training videos for summary and organization. It takes a lot of manpower to browse and cut video clips, and it is impossible to quickly generate training videos for a period of time. There is a lack of video coll...

AI Technical Summary

Problems solved by technology

[0003] The national diving team produces a large number of training videos every day, but it is difficult for athletes to pick out their own training videos for summary and organization. It takes a lot of manpower to browse and cut video clips, and it is impossible to quickly generate training videos for a period of time. There is a lack of video collection, Functions such as sorting and labeling; although it can be played in slow motion, due to the low frame rate of traditional cameras, it is impossible to point out movement defects and adjust training strategies in time

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