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Model training method and device, face screening method and electronic equipment

A technology for model training and electronic equipment, applied in the field of data processing, can solve problems such as the influence of non-face images, and achieve the effect of improving the resolution accuracy

Active Publication Date: 2020-10-09
重庆紫光华山智安科技有限公司
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Problems solved by technology

This non-face image will have a certain impact on other subsequent processing

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  • Model training method and device, face screening method and electronic equipment
  • Model training method and device, face screening method and electronic equipment
  • Model training method and device, face screening method and electronic equipment

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Embodiment Construction

[0045] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0046] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art w...

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Abstract

The invention provides a model training method and device, a face screening method and electronic equipment. By means of the model training method, due to the fact that the face key point images and the face confidence coefficient images are used in the training process, the face key points and the face confidence coefficients carried in the images can be used for guiding the neural network modelto conduct feature extraction. Meanwhile, keeping parameters of part of network layers in a to-be-optimized neural network structure obtained on the basis of the face key point image unchanged; training the neural network model to be optimized through a face confidence image; the parameters of other network layers are adjusted, so that the trained neural network can give consideration to the feature extraction mode trained based on the face key point image and the feature extraction mode based on the face confidence image training position, and then the resolution precision of the face image is improved.

Description

technical field [0001] The present application relates to the field of data processing, in particular, to a model training method, device, face screening method and electronic equipment. Background technique [0002] With the great success of deep learning technology in the field of computer vision, face recognition technology applied to surveillance video has also made great progress and development. In actual business, it is necessary to capture the human face appearing in the video image, and use the captured human face image for other subsequent applications (for example, target person identification, target person tracking, etc.). In order to capture as many faces as possible in the video image, the relevant threshold for triggering the capture action is often configured to be relatively small. Since the relevant threshold for triggering the capture action is configured to be relatively small, some non-face images suspected to be human faces may appear in the captured ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/168G06V40/172G06V10/44G06N3/045G06F18/241
Inventor 刘畅
Owner 重庆紫光华山智安科技有限公司
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