CN113537028A - Control method, apparatus, device and medium for face recognition system - Google Patents
Control method, apparatus, device and medium for face recognition system Download PDFInfo
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- CN113537028A CN113537028A CN202110779438.4A CN202110779438A CN113537028A CN 113537028 A CN113537028 A CN 113537028A CN 202110779438 A CN202110779438 A CN 202110779438A CN 113537028 A CN113537028 A CN 113537028A
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Abstract
The embodiment of the disclosure discloses a control method and device for a face recognition system, electronic equipment and a computer readable medium. One embodiment of the method comprises: receiving a face image set; controlling a first service node to perform first data processing on the face image set to obtain a first processed image set; calling a first probe installed on a first service node to measure first data processing of the first service node to obtain first measurement data; controlling a second service node to perform second data processing on the first processed image set to obtain a second processed image set; calling a second probe installed on a second service node to measure second data processing of the second service node to obtain second measurement data; and generating a first comparison result based on the first processing image set, the second processing image set, the first measurement data and the second measurement data. The embodiment can reduce the loss rate of the image in the face recognition system.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a control method and device for a face recognition system, electronic equipment and a computer readable medium.
Background
The face recognition system is a new biological recognition technology taking a face recognition technology as a core, and is also a high-precision technology for attacking customs in the technical field. The existing face recognition system usually comprises a plurality of service nodes, and each service node respectively performs recognition, removal, warehousing and other processing on the received image.
However, there are often technical problems when the above-described method is adopted:
when each service node respectively processes the received image, the problem of image loss may occur, and in addition, the reason for the image loss is not timely acquired, and a countermeasure is taken according to the reason for the image loss, so that the loss rate of the image in the face recognition system is high.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose a control method, apparatus, electronic device and computer readable medium for a face recognition system to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a control method for a face recognition system, where the face recognition system includes a first service node, a second service node, a first probe, and a second probe, the method includes: receiving a face image set sent by a client; controlling the first service node to perform first data processing on the face image set to obtain a first processed image set; calling a first probe installed on the first service node to measure first data processing of the first service node to obtain first measurement data; controlling the second service node to perform second data processing on the first processed image set to obtain a second processed image set; calling a second probe installed on the second service node to measure second data processing of the second service node to obtain second measurement data; and generating a comparison result based on the first processed image set, the second processed image set, the first measurement data and the second measurement data.
In a second aspect, some embodiments of the present disclosure provide a control apparatus for a face recognition system, the face recognition system including a first service node, a second service node, a first probe and a second probe, the apparatus including: the receiving unit is configured to receive a face image set sent by a client; the first control unit is configured to control the first service node to perform first data processing on the face image set to obtain a first processed image set; a first calling unit configured to call a first probe installed in the first service node to measure a first data processing of the first service node to obtain a first measurement data; a second control unit configured to control the second service node to perform a second data processing on the first processed image set to obtain a second processed image set; a second calling unit configured to call a second probe installed in the second service node to measure a second data processing of the second service node to obtain second measurement data; a comparison unit configured to generate a comparison result based on the first processed image set, the second processed image set, the first measurement data, and the second measurement data.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: a controller comprising one or more processors; a first service node; a second serving node; a first probe; a second probe; a third probe; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantages: the control method for the face recognition system according to some embodiments of the present disclosure processes the received face image, thereby reducing the loss rate of the image in the face recognition system. Specifically, the reason why the loss rate of the image in the face recognition system is high is that: when each service node respectively processes the received image, the problem of image loss may occur, and in addition, the reason for the image loss is not timely acquired, and measures are taken according to the reason for the image loss. Based on this, the control method for the face recognition system of some embodiments of the present disclosure may, first, receive a face image set sent by a client. Thus, the received face image set can be processed. Then, the first service node may be controlled to perform first data processing on the face image set to obtain a first processed image set. Therefore, the face image after the first data processing can be obtained. Then, a first probe installed on the first service node may be called to measure a first data processing of the first service node to obtain a first measurement data. Thus, it is possible to determine whether or not there is an image loss in the first data processing, and the cause of the image loss. Then, the second service node may be controlled to perform a second data processing on the first processed image set to obtain a second processed image set. Therefore, the face image after the first data processing can be subjected to data processing of the second service node. Then, a second probe installed in the second service node may be called to measure a second data processing of the second service node, so as to obtain a second measurement data. Thus, it is possible to determine whether or not there is an image loss in the second data processing, and the cause of the image loss. Finally, a first comparison result may be generated based on the first processed image set, the second processed image set, the first measurement data, and the second measurement data. Therefore, the probe installed on the service node can be utilized to timely acquire the reason of image loss, the image loss condition and the reason of image loss of each service node are comprehensively considered, and countermeasures are taken according to the reason of image loss, so that the loss rate of the image in the face recognition system is reduced.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
FIG. 1 is a schematic diagram of one application scenario of a control method for a face recognition system, according to some embodiments of the present disclosure;
FIG. 2 is a flow diagram of some embodiments of a control method for a face recognition system according to the present disclosure;
FIG. 3 is a schematic block diagram of some embodiments of a control apparatus for a face recognition system according to the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device for a control method of a face recognition system according to the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram 100 of one application scenario of a control method for a face recognition system according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may receive a set of facial images 102 sent by a client. Then, the computing device 101 may control the first service node 103 to perform a first data processing on the facial image set 102, so as to obtain a first processed image set 104. Next, the computing device 101 may invoke a first probe installed in the first service node 103 to measure a first data processing of the first service node 103, so as to obtain a first measurement data 105. Thereafter, the computing device 101 may control the second service node 106 to perform a second data processing on the first processed image set 104, so as to obtain a second processed image set 107. The computing device 101 may then invoke a second probe installed in the second service node 106 to measure a second data processing of the second service node 106, so as to obtain a second measurement data 108. Finally, the computing device 101 may generate a first comparison result 109 based on the first processed image set 104, the second processed image set 107, the first metrology data 105, and the second metrology data 108.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of a control method for a face recognition system according to the present disclosure is shown. The control method for the face recognition system comprises the following steps:
In some embodiments, an executing subject (such as the computing device 101 shown in fig. 1) of the control method for the face recognition system may receive the face image set sent by the client through a wired connection mode or a wireless connection mode. The face image may be a face image of a crowd shot by a predetermined number of cameras within a period of time. The predetermined number may be set according to actual requirements.
For example, in the aspect of industrial and commercial activities in a smart city, a camera can be used for shooting a crowd in a certain market, and a face image set can be obtained from the shot images.
In some embodiments, the executing entity may control the first service node to perform the first data processing on the received facial image set. The first service node may be a server having a data transmitting or receiving function and a data processing function. The first data processing may include, but is not limited to, the following items: the face image set is subjected to recognition processing, the face image set is subjected to rejection processing, and the face image set is subjected to classification processing.
As an example, the above-mentioned identification processing on the face image set may be to identify a gender corresponding to a face in the face image, or to identify whether the face in the captured face image faces forward. The removing process of the face image set may be deleting the face images which do not meet the preset condition. The preset condition may be that the sharpness of the face image reaches 80%. The face image set can be classified according to gender by the classification processing. The face image can be compared with the identity information stored in the database to determine the person corresponding to the face image, and the gender of the person can be determined according to the identity information of the person.
Optionally, the first processed image in the first processed image set includes a first acquired image or a first loss image. The first processed image set may be a processed image set in which the face image set is subjected to image loss, loss or rejection after the first data processing. The first acquired image may be an image that is not lost, entering the second service node. The first lost image may be an image that is lost, culled, and not entered into the second service node.
In some embodiments, the executing entity may call a first probe installed in the first service node during the first data processing, so as to measure the first data processing, and obtain first measurement data. The first probe may be a test interface directly contacting a pad or a bump on the chip. The first probe can lead out a chip signal so as to measure the data change of the first data processing process.
Optionally, the first metrology data may include an image loss reason corresponding to a first loss image in the first processing image set.
Optionally, the image loss reason may include, but is not limited to, at least one of the following: the image sharpness does not reach a first predetermined threshold, the server stability does not reach a second predetermined threshold, the server interface stability does not reach a third predetermined threshold, and the performance of the common component does not reach a fourth predetermined threshold. The values of the first predetermined threshold, the second predetermined threshold, the third predetermined threshold and the fourth predetermined threshold may be determined according to actual needs, and are not limited herein.
And 204, controlling a second service node to perform second data processing on the first processed image set to obtain a second processed image set.
In some embodiments, the executing entity may control the second service node to perform the second data processing on the first processed image set, so as to obtain a second processed image set. The second service node may be a server having a function of transmitting or receiving data and a function of storing data. The second data processing may be to store the facial image set in a database.
Optionally, the second processed image in the second processed image set includes a second acquired image or a second loss image. The second processed image set may be a processed image set in which the first processed image set is subjected to image loss, or culling after the second data processing. The second acquired image may be an image in which no data loss occurs. The first lost image may be an image that has been dropped with data loss.
In some embodiments, the executing entity may invoke a second probe installed in the second service node during the second data processing, so as to measure the second data processing, and obtain second measurement data. The second probe may be a test interface directly contacting a pad or a bump on the chip. The first probe can lead out a chip signal so as to measure the data change of the second data processing process.
Optionally, the second metrology data may include an image loss reason corresponding to a second loss image in the second processing image set.
Optionally, the image loss reason may include, but is not limited to, at least one of the following: the image sharpness does not reach a first predetermined threshold, the server stability does not reach a second predetermined threshold, the server interface stability does not reach a third predetermined threshold, and the performance of the common component does not reach a fourth predetermined threshold. The values of the first predetermined threshold, the second predetermined threshold, the third predetermined threshold and the fourth predetermined threshold may be determined according to actual needs, and are not limited herein.
In some optional implementation manners of some embodiments, the face recognition system further includes a third probe, and after the calling the second probe installed in the second service node to measure the second data processing of the second service node to obtain second measurement data, the method may further include:
and step one, storing the second processed image set into a database to obtain a third processed image set. Wherein the third processed image in the third processed image set includes a third acquired image or a third lost image. The third processed image set may be a processed image set in which the second processed image set is lost, or culled after being saved in the database. The third captured image may be an image that is not lost and saved to the database. The third lost image may be an image that is lost, culled, and not entered for saving to the database.
And step two, calling a third probe installed in the database to measure the second measurement data in the database to obtain third measurement data.
In some embodiments, the execution subject may call a third probe installed in the database during the process of saving the second measurement data in the database, so as to measure the process of saving the second measurement data in the database, or measure the second measurement data in the database to obtain the second measurement data. The third probe may be a test interface that directly contacts a pad or a bump on the chip to extract a chip signal, thereby measuring a data change in a process of storing the second measurement data in the database. The third probe may be a test interface directly contacting a pad or a bump on the chip. The third probe can lead out a chip signal, so that the data change of the process of storing the second measurement data into the database is measured.
Optionally, the third metrology data may include an image loss reason corresponding to the loss image in the process of saving the second metrology data to the database.
Optionally, the image loss reason may include, but is not limited to, at least one of the following: the image sharpness does not reach a first predetermined threshold, the server stability does not reach a second predetermined threshold, the server interface stability does not reach a third predetermined threshold, and the performance of the common component does not reach a fourth predetermined threshold. The values of the first predetermined threshold, the second predetermined threshold, the third predetermined threshold and the fourth predetermined threshold may be determined according to actual needs, and are not limited herein.
And thirdly, obtaining a second comparison result based on the second processed image set, the third processed image set and the third measurement data.
In some embodiments, the executing entity may compare the second processed image set with the third processed image set, thereby obtaining a loss image. And obtaining the image loss reason of the loss image according to the third measurement data.
In some embodiments, the execution subject may compare the first processing image set with the second processing image set, thereby obtaining a loss image. And obtaining the image loss reason of the loss image according to the first measurement data and the second measurement data.
Optionally, performing data statistical analysis on the first comparison result and the second comparison result to obtain an analysis result; and sending the analysis result to a display device so that the display device can display the analysis result. The analysis result can be counted according to different image loss reasons and displayed in a report form or a statistical table.
Optionally, the second processed image set is sent to the application terminal, so that the application terminal queries people corresponding to the second processed image set.
The above embodiments of the present disclosure have the following advantages: the control method for the face recognition system according to some embodiments of the present disclosure processes the received face image, thereby reducing the loss rate of the image in the face recognition system. Specifically, the reason why the loss rate of the image in the face recognition system is high is that: when each service node respectively processes the received image, the problem of image loss may occur, and in addition, the reason for the image loss is not timely acquired, and measures are taken according to the reason for the image loss. Based on this, the control method for the face recognition system of some embodiments of the present disclosure may, first, receive a face image set sent by a client. Thus, the received face image set can be processed. Then, the first service node may be controlled to perform first data processing on the face image set to obtain a first processed image set. Therefore, the face image after the first data processing can be obtained. Then, a first probe installed on the first service node may be called to measure a first data processing of the first service node to obtain a first measurement data. Thus, it is possible to determine whether or not there is an image loss in the first data processing, and the cause of the image loss. Then, the second service node may be controlled to perform a second data processing on the first processed image set to obtain a second processed image set. Therefore, the face image after the first data processing can be subjected to data processing of the second service node. Then, a second probe installed in the second service node may be called to measure a second data processing of the second service node, so as to obtain a second measurement data. Thus, it is possible to determine whether or not there is an image loss in the second data processing, and the cause of the image loss. Finally, a first comparison result may be generated based on the first processed image set, the second processed image set, the first measurement data, and the second measurement data. Therefore, the probe installed on the service node can be utilized to timely acquire the reason of image loss, the image loss condition and the reason of image loss of each service node are comprehensively considered, and countermeasures are taken according to the reason of image loss, so that the loss rate of the image in the face recognition system is reduced.
With further reference to fig. 3, as an implementation of the above-described method for the above-described figures, the present disclosure provides some embodiments of a control apparatus for a face recognition system, which correspond to those of the method embodiments described above in fig. 2, and which may be applied in various electronic devices in particular.
As shown in fig. 3, a control apparatus 300 for a face recognition system of some embodiments includes: a receiving unit 301, a first control unit 302, a first calling unit 303, a second control unit 304, a second calling unit 305 and a comparing unit 306. The receiving unit 301 is configured to receive a face image set sent by a client; a first control unit 302, configured to control the first service node to perform a first data processing on the facial image set, so as to obtain a first processed image set; a first invoking unit 303, configured to invoke a first probe installed on the first service node to measure a first data processing of the first service node, so as to obtain a first measurement data; a second control unit 304, configured to control the second service node to perform a second data processing on the first processed image set, so as to obtain a second processed image set; a second invoking unit 305, configured to invoke a second probe installed in the second service node to perform measurement on a second data processing of the second service node, so as to obtain second measurement data; a comparison unit 306 configured to generate a comparison result based on the first processed image set, the second processed image set, the first measurement data and the second measurement data.
It will be understood that the units described in the apparatus 300 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 300 and the units included therein, and are not described herein again.
Referring now to FIG. 4, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1)400 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 404 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 404: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing apparatus 401, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the apparatus; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receiving a face image set sent by a client; controlling the first service node to perform first data processing on the face image set to obtain a first processed image set; calling a first probe installed on the first service node to measure first data processing of the first service node to obtain first measurement data; controlling the second service node to perform second data processing on the first processed image set to obtain a second processed image set; calling a second probe installed on the second service node to measure second data processing of the second service node to obtain second measurement data; and generating a comparison result based on the first processed image set, the second processed image set, the first measurement data and the second measurement data.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor comprises a receiving unit, a first control unit, a first calling unit, a second control unit, a second calling unit and a comparison unit. The names of these units do not in some cases form a limitation on the unit itself, and for example, a receiving unit may also be described as a "unit that receives a set of face images sent by a client".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (10)
1. A control method for a face recognition system comprising a first service node, a second service node, a first probe and a second probe, the method comprising:
receiving a face image set sent by a client;
controlling the first service node to perform first data processing on the face image set to obtain a first processed image set;
calling a first probe installed on the first service node to measure first data processing of the first service node to obtain first measurement data;
controlling the second service node to perform second data processing on the first processed image set to obtain a second processed image set;
calling a second probe installed on the second service node to measure second data processing of the second service node to obtain second measurement data;
generating a first comparison result based on the first processed image set, the second processed image set, the first measurement data and the second measurement data.
2. The method of claim 1, wherein a first processed image of the first set of processed images comprises a first acquired image or a first loss image, the first metrology data comprising: and the image loss reason corresponding to the first loss image in the first processing image set.
3. The method of claim 2, wherein the image loss cause comprises at least one of: the image sharpness does not reach a first predetermined threshold, the server stability does not reach a second predetermined threshold, the server interface stability does not reach a third predetermined threshold, and the performance of the common component does not reach a fourth predetermined threshold.
4. The method of claim 3, wherein the face recognition system further comprises a third probe, and after the invoking a second probe installed in the second service node to measure a second data processing of the second service node to obtain second measurement data, the method further comprises:
storing the second processed image set into a database to obtain a third processed image set;
calling a third probe installed in the database to measure second measurement data in the database to obtain third measurement data;
and obtaining a second comparison result based on the second processed image set, the third processed image set and the third measurement data.
5. The method of claim 4, wherein the method further comprises:
performing data statistics analysis on the first comparison result and the second comparison result to obtain an analysis result;
and sending the analysis result to a display device so that the display device can display the analysis result.
6. The method of claim 5, wherein the method further comprises:
and sending the second processed image set to the application terminal so that the application terminal can inquire the personnel corresponding to the second processed image set.
7. The method of claim 6, wherein the first probe, the second probe, and the third probe support outputting metrology data in the form of a log or a database table while performing metrology, the first probe, the second probe, and the third probe configuring metrology information by way of a graphical interface.
8. A control apparatus for a face recognition system, the face recognition system comprising a first service node, a second service node, a first probe and a second probe, the apparatus comprising:
the receiving unit is configured to receive a face image set sent by a client;
the first control unit is configured to control the first service node to perform first data processing on the facial image set to obtain a first processed image set;
a first calling unit configured to call a first probe installed in the first service node to measure a first data processing of the first service node, so as to obtain first measurement data;
a second control unit configured to control the second service node to perform second data processing on the first processed image set to obtain a second processed image set;
a second calling unit configured to call a second probe installed in the second service node to measure a second data processing of the second service node, so as to obtain second measurement data;
a comparison unit configured to generate a comparison result based on the first processed image set, the second processed image set, the first metrology data, and the second metrology data.
9. An electronic device, comprising:
a controller comprising one or more processors;
a first service node;
a second serving node;
a first probe;
a second probe;
a third probe;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-7.
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