Training method of double chin detection model, double chin detection method and related device

Abstract

The embodiment of the invention relates to the technical field of intelligent recognition and detection, in particular to a training method of a double-jaw detection model, a double-jaw detection method and a related device, and the method comprises the steps: cutting each face image in an image sample set to obtain a jaw region image corresponding to each face image; and then, each chin region image is used as a training set to train a neural network, so that the interference of other features (such as features of five sense organs and the like) on chin features can be reduced, and the acceleration of model convergence is facilitated. Besides, the neural network comprises a plurality of feature extraction modules which are connected in sequence, and based on the fact that the chin area image has image features of single and clean features, small feature size and the like, structural cutting and reconstruction of the neural network are realized by adjusting the number of the feature extraction modules. Transition fitting and calculation loss caused by redundancy of a feature extraction module relative to a training set (that is, the network depth is too large) can be effectively relieved. Therefore, the model can improve accuracy and efficiency.

Description

technical field [0001] The embodiments of the present application relate to the technical field of intelligent identification and detection, and in particular to a training method for a double chin detection model, a double chin detection method and related devices. Background technique [0002] With the rapid development of mobile communication technology and the improvement of people's living standards, various smart terminals have been widely used in people's daily work and life, making people more and more accustomed to using APP and other software, making face detection, aging or obesity detection There are more and more APP demands for such functions. In addition, in the big beauty industry, the human face occupies an absolute core part, and the position of the chin plays a pivotal role in the human face. Obviously, the detection of the chin becomes very important. Therefore, many users hope that such APP can automatically analyze whether there is a double chin and th...

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Problems solved by technology

[0003] In the process of realizing the embodiment of the present application, the inventors of the present application found that: nowadays, the double chin is mainly judged by the human eyes, and in the rare double chin det

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