Intelligent judgment method and device for dark eye circles and computer readable storage medium

Abstract

The invention relates to an artificial intelligence technology. The invention discloses an intelligent judgment method for dark eye circles. The intelligent judgment method comprises the steps: receiving a face image set, wherein the face image set is divided into a positive sample set and a negative sample set through a label set; carrying out preprocessing operation on the positive sample set and the negative sample set; inputting the label set into a dark eye circle judgment model; performing direction gradient direct square operation on the data of the positive sample set and the negativesample set, inputting the data into the black eye circle judgment model, training the black eye circle judgment model based on a support vector machine algorithm, and exiting training until a loss function value in the support vector machine algorithm is smaller than a threshold value; and receiving the test set of the user to the dark eye circle judgment model to judge whether dark eye circles exist, and outputting a result. The invention further provides an intelligent judgment device for dark eye circles and a computer readable storage medium. According to the invention, an accurate intelligent dark eye judgment function can be realized.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method, device and computer-readable storage medium for automatically and intelligently judging dark circles based on face data input. Background technique [0002] Dark circles under the eyes are caused by staying up late, mood swings, eye fatigue, and aging, which lead to slow blood flow in the blood vessels of the eye skin, resulting in stagnation, insufficient oxygen supply to the tissues, and excessive accumulation of metabolic waste in the blood vessels, resulting in eye pigmentation. As people get older, the subcutaneous fat around the eyes becomes thinner, so dark circles become more obvious. In today's society, many people have dark circles without knowing it. Therefore, it is necessary to judge whether there are dark circles. However, there are still many problems in the accurate identification of dark circles. For example, the application scen...

AI Technical Summary

Problems solved by technology

In today's society, many people have dark circles without knowing it. Therefore, it is necessary to judge whether there are dark circles. However, there are still many problems in the accurate identification of dark circles. For example, the application scenarios are mostly complicated, and the local dynamics of the background Changes and target shadows caused by uneven lighting will increase the difficulty of recognition. In addition, the face is a non-rigid target with rich posture features. Different postures of the same face are often very different in detection and recognition.

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