Human skeleton labeling method and device and electronic equipment

Abstract

The invention relates to the technical field of deep learning, and provides a human body skeleton labeling method and device and electronic equipment, and the method comprises the steps: obtaining a to-be-labeled current frame of human body image and corresponding current frame skeleton key point information, image information of the current frame of human body image and skeleton key point information of the current frame are stored as a current frame annotation file, and the skeleton key point information comprises type information and position information of skeleton key points; labeling the current frame of human body image by using the current frame of labeling file to obtain an initial labeling image, and judging whether missing detection or false detection exists in the initial labeling image to obtain a judgment result; and correcting the skeleton key points with leak detection or false detection in the initial annotation image corresponding to the current frame of human body image according to the judgment result to obtain the current frame of annotation image. According to the embodiment of the invention, the human skeleton annotation image can be quickly and accurately obtained.

Description

technical field [0001] The present application relates to the technical field of deep learning, in particular to a human skeleton labeling method, device and electronic equipment. Background technique [0002] The key points of the human skeleton include joints and facial features. Using these key points to describe human skeleton information is very important for describing human posture and predicting human behavior. In recent years, the detection scheme of the key points of the human skeleton has made great progress, especially the rise of deep learning, such as the proposal of detection models such as openpose and alphapose, and the detection scheme of the key points of the human skeleton is more and more applied in actual scenarios. Wider and wider, such as entertainment and fitness, rehabilitation training, action recognition, etc. [0003] However, training a detection model for key points of the human skeleton requires the use of a large number of images labeled wi...

AI Technical Summary

Problems solved by technology

[0005] However, the former method inevitably requires a lot of manpower and time cost, and the error rate is high, which reduces the efficiency of data set optimization and model establishment; The accuracy of is completely dependent on the skeleton keypoint detection model used

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