Marking of eye key points and training method and device for its detection model

Abstract

The embodiment of the present invention discloses a method and device for marking eye key points and training a detection model thereof. The method includes: obtaining a human face image and an annotated eyelid curve corresponding to the human face image; for each annotated eyelid curve, based on the principle of mathematical integration, integrating the annotated eyelid curve, and determining the first curve length of the annotated upper eyelid curve in the annotated eyelid curve and the second curve length of the marked lower eyelid curve; from the marked upper eyelid curve and the marked lower eyelid curve, a plurality of eyelid points to be used are determined; based on the first curve length of the marked upper eyelid curve, the second marked lower eyelid curve The length of the curve, the eyelid points to be used, and the preset number of equally divided points are determined from the marked upper eyelid curve and the marked lower eyelid curve to determine the equally divided upper eyelid point and the equally divided lower eyelid point, and then combined with the marked eye corner points to determine each person The eye key points corresponding to the face image are used to mark the eye key points with obvious semantic features and improve the labeling efficiency.

Description

Labeling of eye key points and training method and device of detection model technical field The present invention relates to the technical field of intelligent detection, in particular, to a kind of labeling of eye key points and detection thereof Model training method and apparatus. Background technique [0002] The detection of the key points of the human eye in the image plays an important role in many aspects, such as: fatigue detection During the process, the fatigue detection system can detect from the image the The eye key points of the upper and lower eyelids of the human eye, and then, based on the eye key points of the upper and lower eyelids, calculate the upper and lower eyelids of the human eye The distance between them is used as the opening and closing distance of the human eye, and then is determined based on the opening and closing distance of the opening and closing distance of the human eye within the preset time period. Whether the person corresp...

AI Technical Summary

Problems solved by technology

In related technologies, the above-mentioned eye key points are generally manually marked by annotators. For the eye key points manually marked by annotators, different annotators have different standards for marking eye key points. The semantic features of eye key points are not obvious, and the efficiency of manually labeling eye key points is low

Images