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Scene-based face recognition system testing method and system and computer equipment

A technology of a face recognition system and a testing method, applied to computer equipment and computer-readable storage media, in the field of testing of face recognition systems, can solve problems such as low efficiency, difficulty in regression testing, and inability to quickly find problems and verify, etc. To achieve the effect of improving coverage and improving efficiency

Pending Publication Date: 2019-08-23
ONE CONNECT SMART TECH CO LTD SHENZHEN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, it is necessary to provide a test method, system, computer equipment and computer-readable storage medium of a scene-based face recognition system, so as to solve the problem that the current test method cannot quickly find and verify problems, and the combination of various abnormal scenarios The test cannot be completed efficiently, and the regression test is difficult and inefficient

Method used

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  • Scene-based face recognition system testing method and system and computer equipment
  • Scene-based face recognition system testing method and system and computer equipment
  • Scene-based face recognition system testing method and system and computer equipment

Examples

Experimental program
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Embodiment 1

[0056] refer to figure 1 , shows a flow chart of the steps of the testing method of the scene-based face recognition system according to the embodiment of the present invention. It can be understood that the flowchart in this method embodiment is not used to limit the sequence of execution steps. An exemplary description is given below taking computer equipment as an execution subject. details as follows.

[0057] Step S100, acquire a test video, the acquired test video includes the original video data in the pre-collected test video database, or the specified test video data in the preset scene acquired by the image acquisition device.

[0058] Exemplarily, the original video data in the pre-collected test video database is stored in the cloud through a network connection, and a large number of videos are downloaded. Some of these videos are taken by individuals; some are taken by others, such as the user's relatives, friends, colleagues, etc.; These videos are different ...

Embodiment 2

[0104] Figure 4 It is a schematic diagram of the program modules of Embodiment 2 of the test system of the scene-based face recognition system of the present invention. The test system 20 may include or be divided into one or more program modules, one or more program modules are stored in a storage medium and executed by one or more processors to complete the present invention, and the above-mentioned based on A test method for face recognition systems in scenarios. The program module referred to in the embodiment of the present invention refers to a series of computer program instruction segments capable of completing specific functions, which is more suitable for describing the execution process of the text classification system 20 in the storage medium than the program itself. The following description will specifically introduce the functions of each program module of the present embodiment:

[0105] The obtaining module 200 is used to obtain the test video.

[0106] T...

Embodiment 3

[0113] refer to Figure 5 , is a schematic diagram of the hardware architecture of the computer device according to Embodiment 3 of the present invention. In this embodiment, the computer device 2 is a device capable of automatically performing numerical calculation and / or information processing according to preset or stored instructions. The computer device 2 may be a rack server, a blade server, a tower server or a cabinet server (including an independent server, or a server cluster composed of multiple servers) and the like. As shown in the figure, the computer device 2 at least includes, but is not limited to, a memory 21 , a processor 22 , a network interface 23 , and a test system 20 that can communicate with each other through a system bus.

[0114] In this embodiment, the memory 21 includes at least one type of computer-readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX me...

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Abstract

The embodiment of the invention provides a scene-based human face recognition system testing method, which comprises the following steps of: obtaining a test video, and obtaining N pictures comprisingfacial features from the test video; obtaining a plurality of picture sets corresponding to a plurality of classification scenes according to the N pictures including the facial features, wherein each picture set comprises a plurality of pictures corresponding to the classification scenes; receiving a selection instruction of a user for a target scene in the plurality of classification scenes; selecting a target picture set corresponding to the target scene from the plurality of picture sets; synthesizing the target picture set into a video stream; and inputting the video stream into a face recognition system so as to carry out system test operation on the face recognition system through the video stream. According to the embodiment of the invention, the test video is generated through the picture set, so that the regression test efficiency can be improved; through the combination of test scenes, the coverage rate of user scene tests can be improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of testing, and in particular to a testing method, system, computer equipment and computer-readable storage medium of a scene-based face recognition system. Background technique [0002] Face recognition technology is widely used in security, finance, education, e-commerce, Internet and other fields due to its uniqueness, concurrency, non-mandatory, non-contact and other excellent characteristics. [0003] At present, the face recognition system collects the front of the face in normal scenes and under a suitable light source, including the normal and complete face outline, and the unobstructed facial features are clearly captured by the camera equipment, so that it can be accurately captured To the characteristics, and judge it. But for the testers, they also need to consider the performance of various scenes, that is, any performance that may cause failure to capture, unclear capture, inab...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/36G06K9/00G06K9/62
CPCG06F11/3688G06F11/3692G06V40/172G06V40/168G06V20/40G06F18/23G06F18/214
Inventor 张娟
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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