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Image testing method and device, storage medium and electronic device

An image test and sample image technology, applied in the computer field, can solve the problem of low accuracy of test results

Pending Publication Date: 2019-08-23
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide an image testing method and device, a storage medium, and an electronic device to at least solve the technical problem of low accuracy of test results caused by using the image testing method provided by the related art

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Embodiment Construction

[0029] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0030] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention discloses an image testing method and device, a storage medium and an electronic device. The method comprises the following steps: acquiring a scene picture in a virtual scene presentedby a human-computer interaction client as a target image to be tested; inputting the target image into a target pixel semantic network model, wherein the target pixel semantic network model is a neural network model used for conducting semantic description processing on pixel states of all pixel points in the image and obtained after machine training is conducted through multiple sample images andpixel state data configured for the multiple sample images; acquiring target pixel state data output by the target pixel semantic network model; and inputting the target pixel state data into a testmodel to obtain a test result, the test model being used for performing a performance test on the human-computer interaction client. The technical problem that the test result is low in accuracy afterthe image test method provided by the related technology is adopted is solved.

Description

technical field [0001] The invention relates to the field of computers, in particular to an image testing method and device, a storage medium and an electronic device. Background technique [0002] Today, artificial intelligence (AI) technology has been widely used in many fields, such as using different neural network models to perform deep learning on various input samples to simulate human thinking to perform various processing operations. [0003] At present, in the field of image processing, a target detection network based on YOLO (You Only Look Once) is usually used to identify the object presented in the image and determine the smallest circumscribed rectangular frame ( Such as bounding box), so as to realize the use of the rectangular box to mark and display the size and position of the above-mentioned object in the image. Wherein, the above-mentioned rectangular frame can only be used to roughly mark the outline of the above-mentioned object, such as the position ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/62
CPCG06V10/25G06F18/214
Inventor 黄盈周大军丁熠弓霖芃
Owner TENCENT TECH (SHENZHEN) CO LTD
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