Lightweight distraction judging method based on deep learning face recognition
A facial recognition and deep learning technology, applied in the field of deep learning image recognition and analysis, can solve the problems of lack of model performance, scarcity of data set network models, and inapplicability to business scenarios, achieving strong practical effects, taking into account real-time and accuracy. Effect
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[0062] Next, the technical solutions in the embodiments of the present invention will be described in connection with the drawings of the embodiments of the present invention, and it is understood that the described embodiments are merely the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art are in the range of the present invention without making creative labor premise.
[0063] See Figure 1-8 The present invention provides the following technical solutions:
[0064] STRIKE God estimation method based on the depth of learning facial recognition lightweight, comprising the steps of:
[0065] S1: using face detection algorithm ResNet10-SSD in the video stream based on key frames for face detection. Face detection module ResNet10 selected as a skeleton, feature extracting depth of the input image, and then into a series of successive convolution of ...
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