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Vehicle damage image generation method and device based on GAN network

An image and vehicle damage technology, applied in the field of image processing, can solve the problems of manpower consumption, manual annotation of vehicle damage photos, difficulty in exhaustive data lighting conditions, degree of freshness and shooting angle, etc., to achieve the effect of improving accuracy.

Inactive Publication Date: 2019-12-13
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in this solution, when training the algorithm model for damage assessment based on car damage photos, it is necessary to manually label a large number of car damage photos, which consumes a lot of manpower, and the data is difficult to exhaustively include various models, lighting conditions, old and new degree and shooting angle

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  • Vehicle damage image generation method and device based on GAN network
  • Vehicle damage image generation method and device based on GAN network
  • Vehicle damage image generation method and device based on GAN network

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Embodiment Construction

[0054] Embodiments of this specification will be described below with reference to the accompanying drawings.

[0055] figure 1 A schematic diagram of a vehicle damage image generating system 100 according to an embodiment of the present specification is shown. Such as figure 1 As shown, the system 100 includes a mask 11 , a generative model 12 and a discriminative model 13 . Among them, the generative model 12 and the discriminative model 13 constitute a generative adversarial model (GAN). The mask 11 is used to determine the position of the target frame on the actually captured vehicle image and cut out the partial image in the target frame.

[0056] In the model training phase, firstly, the discrimination model 13 is trained by at least one positive sample and / or at least one negative sample. A positive sample is, for example, an image obtained by taking a photo of a vehicle in an accident, and the image includes a target frame for marking the vehicle damage. The negat...

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Abstract

The embodiment of the invention discloses a vehicle damage image generation method and device based on a GAN model, and the method comprises the steps: obtaining a first image which is a real image ofa vehicle; obtaining a second image based on the first image, wherein the second image is obtained by marking a target frame on the first image and removing a local image in the target frame; and inputting the second image into an image filling model to obtain a vehicle damage image with the target frame from the output of the image filling model, the image filling model outputting the vehicle damage image with the target frame by filling the target frame of the second image with a vehicle damage local image.

Description

technical field [0001] The embodiments of this specification relate to the technical field of image processing, and more specifically, to a method and device for training a car damage image discrimination model, a method and device for training an image filling model, and a method and device for generating a car damage image . Background technique [0002] In the conventional auto insurance claims scenario, the insurance company needs to send professional survey and loss assessment personnel to the accident scene to conduct on-site survey and assessment of damage, give the vehicle maintenance plan and compensation amount, take photos of the scene, and keep the damage assessment photos for future use. The inspector checks the damage and checks the price. Due to the need for manual damage assessment, insurance companies need to invest a lot of labor costs and professional knowledge training costs. From the experience of ordinary users, the claim settlement process takes a lo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T11/40
CPCG06T11/40G06V2201/08G06F18/241G06F18/214G06T7/00G06V10/454G06T11/60G06V30/19173G06N3/045G06N3/088G06T11/00G06V30/274
Inventor 徐娟
Owner ADVANCED NEW TECH CO LTD
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