A face multi-attribute recognition method based on multi-source data
A technology of multi-source data and recognition methods, applied in the field of face attribute recognition, can solve problems such as hindering research progress, unable to provide all attribute labels, and unbalanced distribution of data set categories. Ability to optimize and reduce the effect of overfitting
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[0028] The technical solutions of the present invention have been described in detail in the section of the content of the invention. In order to make those skilled in the art better understand the method of the present invention, supplementary descriptions are given below with reference to the accompanying drawings.
[0029] like figure 1 As shown, it is the overall implementation process of the present invention, wherein, for the input face image, a preprocessing process is included, and the specific method is:
[0030] 1) Perform face key point detection on the input image;
[0031] 2) Align the face according to the key points of the face;
[0032] 3) Crop the aligned face, remove useless information, and retain only the part of the face that contains valid information;
[0033] 4) Scale the cropped face image to a fixed size corresponding to the input of the model.
[0034] figure 2 The face attribute recognition network model proposed by the present invention includ...
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