Image processing method, image processing apparatus, computer readable storage medium

An image processing and image technology, applied in the field of image processing, to achieve the effect of improving the effect and reducing the difficulty of training

Active Publication Date: 2019-01-18
BEIJING KUANGSHI TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The disclosure provides a neural network-based image processing method, image processing device, and comp

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  • Image processing method, image processing apparatus, computer readable storage medium
  • Image processing method, image processing apparatus, computer readable storage medium
  • Image processing method, image processing apparatus, computer readable storage medium

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Embodiment Construction

[0033] In order to make the objectives, technical solutions, and advantages of the embodiments of the present disclosure clearer, the technical solutions of the embodiments of the present disclosure will be described clearly and completely in conjunction with the accompanying drawings of the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, rather than all of the embodiments. Based on the described embodiments of the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the protection scope of the present disclosure.

[0034] Unless otherwise defined, the technical terms or scientific terms used in the present disclosure shall have the usual meanings understood by those with ordinary skills in the field to which this disclosure belongs. The "first", "second" and similar words used in the present disclosure do not indicate any order,...

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Abstract

An image processing method based on a neural network, an image processing apparatus, and a computer-readable storage medium are provided. The image processing method comprises the following steps of:obtaining an input image; classifying the input image by using neural network to obtain multiple category labels, wherein the neural network comprises a first sub-neural network and a second sub-neural network, The second sub-neural network comprises a plurality of branch networks, at least two branch networks of the plurality of branch networks are arranged in parallel, and the step of classifying the input image by using neural network to obtain multiple category labels comprises the following steps: extracting basic feature information of the input images by the first sub-neural network toobtain a plurality of first feature images; Dividing a plurality of first feature maps to obtain a plurality of first feature map groups corresponding to the plurality of branch networks one by one;respectively processing a plurality of first feature map groups by a plurality of branch networks to obtain a plurality of class tags.

Description

Technical field [0001] The present disclosure relates to the field of image processing, and more specifically, the present disclosure relates to a neural network-based image processing method, image processing device, and computer-readable storage medium. Background technique [0002] Intelligent scene recognition has become a popular branch technology of artificial intelligence (AI) on mobile phones, and the intelligent scene recognition function is gradually deployed on various mobile phones. Intelligent scene recognition technology is mainly used to automatically adjust the camera parameters of the mobile phone based on various objects in the scene, thereby improving the user's shooting experience. [0003] At present, intelligent scene recognition technology is usually limited to a relatively clear and single scene. The mobile phone obtains images of various scenes, and the mobile phone only outputs a recognition result after processing the images of these scenes. However, in ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/35G06N3/045G06F18/2414G06F18/2431G06F18/214
Inventor 张诚黄鼎朱星宇
Owner BEIJING KUANGSHI TECH
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