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Training method and device of image recognition network and electronic equipment

An image recognition and image technology, applied in the computer field, can solve the problem of easy loss of image information

Pending Publication Date: 2020-10-09
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the target subject is blocked by an occluder, the segmented target subject is prone to lose image information

Method used

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  • Training method and device of image recognition network and electronic equipment
  • Training method and device of image recognition network and electronic equipment
  • Training method and device of image recognition network and electronic equipment

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Embodiment Construction

[0065] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0066] figure 1 It is a schematic diagram of an application environment of an image recognition network training method in an embodiment. like figure 1 As shown, the application environment includes an electronic device 102 and a server 104 . Wherein, the electronic device 102 communicates with the server 104 through the network. Among them, the electronic device 102 can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices, and the server 104 can be realized by an independent server or a ser...

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Abstract

The invention relates to a training method of an image recognition network. The method comprises the following steps: acquiring an original image and a corresponding original mask image; based on a main body area in the original image, obtaining an occlusion object image of an occlusion object and a corresponding occlusion object mask image; performing fusion processing on the occlusion object image and the original image to obtain a training image; performing fusion processing on the occlusion object mask image and the original mask image to obtain a training mask image; wherein the positionof the occlusion object image in the training image is the same as the position of the occlusion object mask image in the training mask image; and training an image recognition network based on the training image and the training mask image to obtain a trained image recognition network. The invention further discloses an image processing method, an image processing device, an image recognition network training device, electronic equipment and a readable storage medium, and the accuracy of main body recognition and segmentation is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to an image recognition network training method and device, electronic equipment, and a computer-readable storage medium. Background technique [0002] With the development of computer technology, people are more and more accustomed to taking images or videos through image acquisition devices such as cameras on electronic devices to record various information. In the process of collecting images, the camera often needs to segment the target subject in the collected images for further processing. However, when the target subject is blocked by an occluder, the segmented target subject is prone to lose image information. Contents of the invention [0003] Embodiments of the present application provide a training method, device, electronic equipment, and computer-readable storage medium for an image recognition network, which can improve the accuracy of target subject rec...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/00
CPCG06V40/10G06F18/251G06F18/214
Inventor 张弓
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD