CN115994086A - Image processing method and device, storage medium and terminal - Google Patents

Image processing method and device, storage medium and terminal Download PDF

Info

Publication number
CN115994086A
CN115994086A CN202211480204.0A CN202211480204A CN115994086A CN 115994086 A CN115994086 A CN 115994086A CN 202211480204 A CN202211480204 A CN 202211480204A CN 115994086 A CN115994086 A CN 115994086A
Authority
CN
China
Prior art keywords
operator
target
parameter
interface
parameter configuration
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211480204.0A
Other languages
Chinese (zh)
Inventor
吴天才
张武杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Casi Vision Technology Luoyang Co Ltd
Casi Vision Technology Beijing Co Ltd
Original Assignee
Casi Vision Technology Luoyang Co Ltd
Casi Vision Technology Beijing Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Casi Vision Technology Luoyang Co Ltd, Casi Vision Technology Beijing Co Ltd filed Critical Casi Vision Technology Luoyang Co Ltd
Priority to CN202211480204.0A priority Critical patent/CN115994086A/en
Publication of CN115994086A publication Critical patent/CN115994086A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Landscapes

  • Stored Programmes (AREA)

Abstract

The application discloses an image processing method and device, a storage medium and a terminal, relates to the technical field of software testing, and mainly aims to solve the problem of low operator debugging efficiency. The method mainly comprises the steps of responding to an execution operation instruction in a target operator parameter configuration interface, and obtaining parameter configuration information, wherein the target operator parameter configuration interface is generated based on a target parameter interface description file of a target operator; determining a target execution function according to operator names of the target operators and operator execution function mapping relation sets, wherein the operator execution function mapping relation sets comprise mapping relations between operator names of different expected debugging operators and corresponding execution functions; and processing the target image based on the parameter configuration information and the target execution function to obtain a target image processing result so as to adjust the parameter configuration according to the target image processing result. The method is mainly used for image processing in the operator parameter debugging process.

Description

Image processing method and device, storage medium and terminal
Technical Field
The present invention relates to the field of software testing technologies, and in particular, to an image processing method and apparatus, a storage medium, and a terminal.
Background
With the continuous development of artificial intelligence, the combination degree of algorithms and software is also higher and higher. For example, in the field of machine vision industrial inspection, an identification process often requires the use of a number of different algorithms and data processing logic. Each algorithm or data processing logic integrated in the software processing process is called an operator, a set of relatively fixed algorithm flows are arranged in each operator, each algorithm flow has a plurality of corresponding parameters, and before the software is put into practical application, each operator integrated in the software needs to be subjected to parameter configuration and operation for a plurality of times so as to confirm a set of parameters which enable the image processing effect to be optimal, and then the overall operation effect of the software is optimal.
In the existing operator parameter debugging process, for each operator parameter configuration and operation process, software developers are required to develop corresponding parameter configuration interfaces first, so that the algorithm personnel can configure operator parameters and operate operators based on the developed interfaces, and therefore debugging of the operator parameters is completed. However, as the number of operators is larger and larger, developing parameter configuration interfaces one by one brings larger workload to software developers, and algorithm personnel also need to wait longer to get the interface for operator parameter configuration, so that the operator parameter debugging efficiency is lower, and the development cost is higher.
Disclosure of Invention
In view of this, the present application provides an image processing method and apparatus, a storage medium, and a terminal, and mainly aims to solve the problems of low efficiency and large development workload of the existing operator parameter debugging.
According to a first aspect of the present application, there is provided an image processing method comprising:
responding to an execution operation instruction in a target operator parameter configuration interface, and acquiring parameter configuration information, wherein the target operator parameter configuration interface is generated based on a target parameter interface description file of a target operator;
determining a target execution function according to operator names of the target operators and operator execution function mapping relation sets, wherein the operator execution function mapping relation sets comprise mapping relations between operator names of different expected debugging operators and corresponding execution functions;
and processing the target image based on the parameter configuration information and the target execution function to obtain a target image processing result so as to adjust the parameter configuration according to the target image processing result.
According to a second aspect of the present application, there is provided an image processing apparatus comprising:
the acquisition module is used for responding to an execution operation instruction in a target operator parameter configuration interface, and acquiring parameter configuration information, wherein the target operator parameter configuration interface is generated based on a target parameter interface description file of a target operator;
The determining module is used for determining a target execution function according to the operator names of the target operators and the operator execution function mapping relation set, wherein the operator execution function mapping relation set comprises mapping relations between operator names of different expected debugging operators and corresponding execution functions;
and the processing module is used for processing the target image based on the parameter configuration information and the target execution function to obtain a target image processing result so as to adjust the parameter configuration according to the target image processing result.
According to a third aspect of the present application, there is provided a storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the above-described image processing method.
According to a fourth aspect of the present application, there is provided a terminal comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the image processing method.
By means of the technical scheme, the technical scheme provided by the embodiment of the application has at least the following advantages:
the embodiment of the application obtains parameter configuration information by responding to an execution operation instruction in a target operator parameter configuration interface, wherein the target operator parameter configuration interface is generated based on a target parameter interface description file of a target operator; determining a target execution function according to operator names of the target operators and operator execution function mapping relation sets, wherein the operator execution function mapping relation sets comprise mapping relations between operator names of different expected debugging operators and corresponding execution functions; and processing the target image based on the parameter configuration information and the target execution function to obtain a target image processing result, so as to adjust the parameter configuration according to the target image processing result, greatly reduce the development time of an operator parameter configuration interface, reduce the time consumption of operators for realizing parameter configuration and running debugging, and simultaneously ensure the accuracy of image processing, thereby greatly improving the efficiency of operator parameter debugging and reducing the development cost.
According to a fifth aspect of the present application, there is provided a parameter configuration method, including:
determining a target operator according to clicking behaviors of any operator in an expected debugging operator display list, and generating a target operator parameter configuration interface according to a target parameter interface description file of the target operator;
processing a target image according to the acquired parameter configuration information in the parameter configuration interface of the target operator and a target execution function corresponding to the target operator to obtain a target image processing result;
and if the target image processing result meets a preset result judging condition, determining the parameter configuration information as a parameter configuration result of the target operator.
According to a sixth aspect of the present application, there is provided a storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the above-described image processing method.
According to a seventh aspect of the present application, there is provided a terminal comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
The memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the image processing method.
The embodiment of the application determines a target operator according to clicking behaviors of any operator in an expected debugging operator display list, and generates a target operator parameter configuration interface according to a target parameter interface description file of the target operator; processing a target image according to the acquired parameter configuration information in the parameter configuration interface of the target operator and a target execution function corresponding to the target operator to obtain a target image processing result; if the target image processing result meets the preset result judging condition, the parameter configuration information is determined to be the parameter configuration result of the target operator, so that the development time of an operator parameter configuration interface is greatly shortened, the time for realizing parameter configuration and running debugging of the operator is reduced, meanwhile, the accuracy of parameter configuration is ensured, the efficiency of operator parameter debugging is greatly improved, and the development cost is reduced.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 shows a flowchart of an image processing method provided in an embodiment of the present application;
FIG. 2 is a flowchart of another image processing method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an operator parameter configuration interface according to an embodiment of the present application;
fig. 4 shows a flowchart of a parameter configuration method provided in an embodiment of the present application;
fig. 5 shows a block diagram of an image processing apparatus according to an embodiment of the present application;
fig. 6 shows a schematic structural diagram of a terminal according to an embodiment of the present application;
fig. 7 shows a schematic structural diagram of another terminal provided in an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Aiming at the current operator parameter debugging process, for each operator parameter configuration and operation process, software developers are required to develop corresponding parameter configuration interfaces first, so that the algorithm personnel can configure operator parameters and operate operators based on the developed interfaces, and therefore the operator parameter debugging is completed. However, as the number of operators is larger and larger, developing parameter configuration interfaces one by one brings larger workload to software developers, and algorithm personnel also need to wait longer to get the interface for operator parameter configuration, so that the operator parameter debugging efficiency is lower, and the development cost is higher. An embodiment of the present application provides an image processing method, as shown in fig. 1, including:
101. and responding to the execution operation instruction in the target operator parameter configuration interface, and acquiring parameter configuration information.
In the embodiment of the application, the parameter configuration interface of the target operator is used for an algorithm person to configure the corresponding parameters of the target operator and indicates the target image processing interactive interface. The interface includes an interface component corresponding to at least one node parameter, such as a text box for displaying a parameter name, a radio box, a multiple box, a drop-down box, a numeric box, etc. for configuring parameter values, and a control, such as a button, for inputting operator instructions. The executing operation instruction is an operation instruction issued by an algorithm person through a control in the target operator parameter configuration interface, and the operation instruction indicates to operate the target operator according to each parameter configured in the current interface.
It should be noted that, the target operator parameter configuration interface is generated based on the target parameter interface description file. The target parameter interface description file is written for parameters of a target operator, is used for describing parameter attribute information of each parameter, interface component types of display interface components corresponding to the parameters and the like. The content of the target parameter interface description file is written based on Json (JavaScript Object Notation, JS object numbered musical notation) format. Before operator parameters are debugged, corresponding parameter interface description files are written for operators expected to be debugged according to parameter description rules of a Json format, and names of the files correspond to operator names. And storing the written parameter interface description file in a parameter interface description file folder. So that when the target operator is debugged, the target parameter interface description file corresponding to the target operator can be obtained from the parameter interface description file folder. Thereby generating a target operator parameter configuration interface from the file. Json is a lightweight data interaction format, is easy to read and write, can be written by an algorithm staff according to parameter description rules, does not need to write and compile software one by one aiming at operators by software staff, can greatly reduce the workload of software development, reduces development time consumption, and therefore effectively improves the creation efficiency of parameter configuration interfaces.
102. And determining the target execution function according to the operator name of the target operator and the operator execution function mapping relation set.
In the embodiment of the application, after parameter configuration information of each node parameter configured by an algorithm person through a target operator parameter configuration interface is obtained, configured parameters are executed by an execution function corresponding to a target operator, and the execution function of the target operator is stored in a dynamic library file of the target operator. Therefore, the dynamic library file of the target operator, namely the target dynamic library file, needs to be determined according to the operator execution function mapping relation set. Specifically, the operator execution function mapping relation set comprises mapping relations between different expected debugging operators and different dynamic library files, operator names of target operators can be found from the mapping relations, and further the dynamic library files with the mapping relations with the operator names are determined to be target dynamic library files.
It should be noted that, different dynamic library files in the operator execution function mapping relation set are all compiled based on a unified algorithm calling interface. By defining a unified algorithm interface for different operators and compiling the different operators based on the interface, the interfaces can be prevented from being set for the different operators respectively and compiled respectively, so that the different operators expected to be debugged can realize the call of the corresponding execution function through the unified interface.
103. And operating the target operator based on the parameter configuration information and the target execution function to obtain an operation result of the target operator so as to adjust the parameter configuration according to the target image processing result.
In the embodiment of the application, after determining the file (the target dynamic library file) where the execution function of the execution target operator is located, parameter configuration information is transferred to the target dynamic library file, so that the execution function operates the target operator according to the configured parameters, and an operation result of the target operator is obtained. And the operation result of the target operator is used as a basis for analyzing the operation effect of the current configuration parameters. The running result may be in a log form, a statistical graph form, a picture processed by an algorithm, etc., and the embodiment of the present application is not specifically limited. After analysis, if the operation result reaches the expected or optimal operation effect, the parameter debugging process of the target operator is finished. If the operation result does not reach the expectation, the parameter configuration interface of the target operator can be updated again, and the target operator is operated again according to the updated parameter configuration information until the operation result reaches the expectation or the operation effect is optimal.
It should be noted that, the software operator parameter debugging process is a process of running based on different parameter combinations for each time for different operators integrated in the software. Each operator can generate a corresponding parameter configuration interface based on a pre-configured description file, call parameters configured in the dynamic library file operation parameter configuration interface compiled based on a unified interface based on operator names, realize parameter debugging, avoid software personnel developing the parameter configuration interface and defining the corresponding operator interface for each operator respectively, compile software, develop software workload, reduce time consumption of software development, and improve operator parameter debugging efficiency.
For further explanation and limitation, in one embodiment of the present application, before step 102 determines the target execution function according to the operator name of the target operator and the operator execution function mapping relation set, as shown in fig. 2, the method further includes:
201. and acquiring at least one algorithm file of the expected debugging operator, and compiling the algorithm file according to a preset standard calling interface to obtain a dynamic library file of the expected debugging operator.
202. Traversing file names of the dynamic library files and operator execution functions corresponding to the dynamic library files, and constructing mapping relations between different operator names and corresponding operator execution functions based on a reflection mechanism to obtain an operator execution function mapping relation set.
In this embodiment of the present application, the expected debug operator is an operator expected to need parameter debugging, and may be all operators integrated in software. The global parameter interface description file is the parameter interface description file of all operators expected to need debugging. The file names of the parameter interface description files are named by the names of the corresponding operators, so that all expected debugging operators can be determined according to the file names of the global parameter interface description files.
The preset standard calling interface is a predefined unified operator calling interface, and all the operators of the expected debugging operators need to realize (match) the interface. In order to realize the call of the expected debugging operators, according to the specification defined by the preset standard call interface, compiling operator classes (algorithm files) of the expected debugging operators to obtain dynamic library files corresponding to each expected debugging operator, and storing header files corresponding to the preset standard call interface and dynamic library files of different expected debugging operators in a pre-created operator library folder. Wherein the dynamic library file is a dynamic link library (DLL: dynamic Link Library) file, which is a library containing codes and data that can be used by a plurality of programs at the same time. Dynamic linking provides a way for a process to call a function that does not belong to its executable code. The file name of the dynamic library file is an operator name, for example, the dynamic library file of the addition operator is add. Preferably, the interface executing function name of the preset standard calling interface is doexeute, and the parameter receiving type is a Json array pointer and a Json object pointer. The Json array pointer characterizes parameters of the operator, and the Json object pointer characterizes a data object returned by the operator.
After the dynamic library file is obtained, in order to quickly locate and call the execution function of the corresponding operator when the execution operator is requested. And obtaining an instantiation class (operator execution function) of the algorithm interface by constructing a dynamic library file in the operator library folder based on the reflection mechanism, and forming a mapping relation between the operator name and the operator execution function. Taking an addition operator as an example, the construction process of the mapping relation is explained. A map object is newly built, the key of the map object is string type, and the value of the map is operator execution function. Building a dynamic library file name of the algorithm library folder and loading a DLL file, e.g., QPluginLoaderp Loader ("D:/Add. DLL"); algInterface algInterface =qobject_cast < AlgInterface > (ploader. The operator name is used as a key of the map, and the instantiation class of the algorithm interface is inserted into the map as a value of the map, such as map. Insert ("Add", algInterface). And forming a mapping relation between the addition operator execution function and the operator name.
In one embodiment of the present application, for further explanation and limitation, the method further comprises:
and if the newly added parameter interface description file is monitored, determining a newly added expected debugging operator according to the file name of the newly added parameter interface description file, and acquiring a newly added algorithm file of the newly added expected debugging operator.
Compiling the newly added algorithm file according to a preset standard calling interface to obtain a newly added dynamic library file of the newly added expected debugging operator.
And updating the operator execution function mapping relation set based on the dynamic library file of the newly added expected debugging operator.
In the embodiment of the application, new operators are often added into the software according to the functional requirements in the debugging process of the software, and the newly added operators are debugged. Because all operators realize a unified algorithm calling interface, when a new operator is added, the algorithm calling interface is not required to be redefined, and only the operator class of the new operator is required to be compiled based on a preset standard algorithm calling interface to obtain a dynamic library file which accords with the preset standard algorithm calling interface specification, thereby realizing dynamic instantiation of the operator class in the software parameter adjusting process.
In one embodiment of the present application, for further explanation and limitation, before the parameter configuration information is obtained in response to the execution operation instruction in the target operator parameter configuration interface, the method further includes:
and responding to the operator display instruction, traversing the operator parameter interface description file to determine expected debugging operator information, and generating an expected debugging operator display list according to the expected debugging operator information.
Determining a target operator according to the clicking behavior of any operator in the expected debugging operator display list, and acquiring a target parameter interface description file of the target operator.
And generating a target operator parameter configuration interface according to the target parameter interface description file.
In the embodiment of the application, when an operator clicks an operator debugging interface or clicks and refreshes an expected debugging operator list, an operator display instruction for indicating a display operator is generated. And traversing description files in the operator parameter interface description file folder in response to the operator display instruction, taking an operator corresponding to each description file as an expected debugging operator, and generating an expected debugging operator list according to the file names (operator names) of all operator parameter interface description files in the file folder. As shown in fig. 3, the expected debug operator list may include an operator 1, an operator 2, an operator 3, and the like. When an algorithm person clicks any one of the operators in the expected debugging operator list, the clicked operator is the target operator, and the corresponding description file is matched from the parameter interface description file folder according to the operator name of the target operator, namely the target parameter interface description file. And generating a target operator parameter configuration interface comprising a plurality of parameter items corresponding to the target operators according to the pre-written parameter interface description information in the file. For example, as shown in FIG. 3, the target operator parameter configuration interface includes input interface components corresponding to different parameter items. The interface component is determined according to the attribute of different parameters, and can be a text box, a drop-down box and a single selection box. The value of the parameter may be an input value based on the interface component input, or may be a default initial value. The embodiments of the present application do not specifically limit the type of interface component and the parameter value.
In one embodiment of the present application, for further explanation and limitation, generating a target operator parameter configuration interface according to a parameter configuration interface description file includes:
and converting the parameter information and the interface component attribute information into interface component objects aiming at each node parameter, and configuring identifiers for the interface component objects based on the parameter identifiers in the parameter information.
And rendering the interface component object with the identifier configuration to a display interface to obtain a target operator parameter configuration interface.
In this embodiment of the present application, the operator parameter interface description file includes parameter attribute information of at least one node parameter, and interface component attribute information of the node parameter. The operator parameter interface description file is a parameter content defined by adopting a Json format, a Json file content data structure root node is a Json array, each child node is a parameter of an operator, and the child nodes can be added in a self-defined mode according to actual requirements. Each parameter content includes, but is not limited to, parameter information such as parameter names, parameter identifiers, parameter types, enumerated type parameter options, parameter initial values, parameter descriptions, and interface component attribute information such as parameter interface component types. For example [ { "name": parameter 1"," type ":" LineEdit "," id ":" param1"," value ": 6", "value_type": int "}, {" name ": parameter 2", "type": "LineEdit", "id":
"param1", "va-ue": 6, "value_type": "int" }, { "na-me": "parameter 3", "type":
"LineEdit", "id": "param1", "value":6 "," value_type ":" int "}". The Value is the parameter initial Value or input Value of the parameter, analyze the parameter attribute information and interface component attribute information of each node parameter, namely the node content of Json data, transform each node parameter into a Json object in the code, the attribute of the Json object corresponds to the parameter attribute and interface component attribute, the attribute Value corresponds to the parameter initial Value, the corresponding interface component object is generated according to the attribute and attribute Value transformation of the Json object, the parameter identifier in the parameter attribute information is configured as the identifier of the interface component object, and then the interface component object corresponding to each node parameter is sequentially displayed in the target operator parameter configuration interface from top to bottom according to the data structure sequence of the Json object, the attribute Value is used as the display of the interface component, and the parameter name is used as the display label of the interface component, thereby obtaining the target parameter configuration interface as shown in figure 3, wherein the target parameter configuration interface is indicated to be processed and the interface is fixedly executed by software.
It should be noted that, by pre-configuring the corresponding operator parameter interface description files for different operators, when any operator in the expected debugging operator list is clicked, the operator parameter can be conveniently adjusted by an operator according to the corresponding operator parameter interface description file to generate a corresponding parameter configuration interface, and the operator is operated according to the adjusted parameter value, so that operator parameters can be conveniently adjusted.
In an embodiment of the present application, for further explanation and limitation, processing a target image based on parameter configuration information and a target execution function to obtain a target image processing result includes:
for each node parameter, a node object is created based on the interface component object identifier and the corresponding interface component object value.
And constructing an execution parameter array based on the node objects of the node parameters.
And transmitting the execution parameter array to a target operator execution function in the target dynamic library file, and processing the target image by the target operator execution function based on the execution parameter array to obtain a target image processing result.
In the embodiment of the application, in order to operate the target operator according to the configured parameters, the interface component in the parameter configuration interface of the target operator is traversed, and the parameter configuration information is obtained. The parameter configuration information comprises an interface component object value and an interface component object identifier corresponding to at least one node parameter. The interface component object value is obtained according to the interface component object identifier and the interface component type of each interface component, and is a node parameter value input in the target parameter configuration interface. And creating a Json object (node object) by using the interface component object value and the interface component object identifier in a key value pair mode, and constructing a Json array which needs to be operated by the target operator, namely an execution parameter array, based on the Json object of each node parameter. And then the execution parameter array is transferred to a target execution function corresponding to the target operator, and the target operator is operated by the target execution function according to the execution parameter array.
In an embodiment of the present application, for further explanation and limitation, the method further includes, after processing the target image based on the parameter configuration information and the target execution function to obtain a target image processing result:
and updating the parameter initial value in the target parameter interface description file based on the execution parameter array so as to store the last debugging operation parameter of the target operator.
In the embodiment of the application, each operation of the target operator is a debugging process of parameter debugging of the target operator, and a final target of the debugging is to find a group of parameters enabling an operation result of the target operator to reach an expected debugging effect. And after each operation is finished, updating the initial value in the target parameter interface description file by taking the execution parameter array of the current operation as the parameter initial value. If the running result of the current debugging reaches the expected test effect and the next running debugging is not needed, the current running is the last debugging running and the parameter initial value in the target parameter interface description file is not needed, so that the final parameter debugging result meeting the debugging target is stored.
In an embodiment of the present application, for further explanation and limitation, processing a target image based on parameter configuration information and a target execution function to obtain a target image processing result includes:
And calculating at least one group of position parameter configuration data according to the parameter range configuration information and the parameter interval configuration information.
And respectively identifying the target image based on each group of parameter configuration data and the target execution function to obtain optical identification results corresponding to different parameter configuration data.
And rendering the optical recognition result to an image processing result display interface to display the difference of the optical recognition results of different parameter configuration data.
In this embodiment of the present application, the target operator is an optical character recognition operator, and parameters of the optical character recognition operator include a starting position parameter, a width parameter, a height parameter, and an angle parameter. The automatic configuration of one or more sets of the above parameters may be performed based on a parameter automatic configuration component of the target operator parameter configuration interface. For example, the width parameter is automatically configured, the initial position parameter, the height parameter and the angle parameter are input values, the parameter range of the width parameter is 21-4, the parameter interval is 5, the node parameter corresponds to 4 parameters of 5, 10, 15 and 20, and then 4 groups of parameter configuration data are obtained by combining the node parameter with other node parameters. The parameter configuration information includes parameter range configuration information and parameter interval configuration information of at least one node parameter, that is, one or more node parameters that can be automatically configured may be set according to actual application conditions, and embodiments of the present application are not specifically limited.
It should be noted that, through parameter automatic configuration, image processing can be performed based on multiple groups of parameters in one operator operation to obtain target image processing results corresponding to different parameters, multiple processing results are obtained through one parameter configuration, parameter debugging time is greatly shortened, in addition, visual display is performed on processing results corresponding to different parameters, and more visual and specific analysis and debugging basis is provided for algorithm debugging personnel.
In an embodiment of the present application, for further explanation and limitation, the method further includes, after processing the target image based on the parameter configuration information and the target execution function to obtain a target image processing result:
and classifying the target image processing result by using the trained target processing result classification model to obtain a classification processing result.
And if the classification processing result is a non-qualified class, generating prompt information for indicating parameter configuration of the update target operator.
In the embodiment of the application, when the target image processing result corresponding to the target operator is a result which can be judged based on non-manpower, for example, whether the image coordinate extraction is accurate, the information integrity of optical character recognition and the like, the target image result is classified based on the target processing result classification model so as to determine whether the target image processing result is qualified, and if the target image processing result is qualified, parameter configuration does not need to be continuously adjusted; if the target operator is not qualified, generating prompt information, and prompting algorithm personnel to continuously adjust parameters of the target operator. The target processing result classification model after training is obtained by training the historical image processing result based on the target operator. The basic model of the target processing result classification model is a classification model, such as ResNet-18. By classifying the target image processing result by using the classification model, manual intervention can be reduced, processing result analysis time is shortened, and meanwhile, the accuracy of the discrimination operator processing result is ensured, so that the operator parameter debugging efficiency is improved.
The embodiment of the application provides an image processing method, which is characterized in that parameter configuration information is obtained by responding to an execution operation instruction in a parameter configuration interface of a target operator, wherein the parameter configuration interface of the target operator is generated based on a target parameter interface description file of the target operator; determining a target execution function according to operator names of target operators and operator execution function mapping relation sets, wherein the operator execution function mapping relation sets comprise mapping relations between operator names of different expected debugging operators and corresponding execution functions; the target operator is operated based on the parameter configuration information and the target execution function, so that an operation result of the target operator is obtained, parameter configuration is adjusted according to a target image processing result, development time of an operator parameter configuration interface is greatly shortened, time for the operator to realize parameter configuration and operation debugging is reduced, meanwhile, accuracy of image processing is ensured, efficiency of operator parameter debugging is greatly improved, and development cost is reduced.
The embodiment of the application provides a parameter configuration method, as shown in fig. 4, which includes:
301. determining a target operator according to the clicking behavior of any operator in the expected debugging operator display list, and generating a target operator parameter configuration interface according to a target parameter interface description file of the target operator.
302. And processing the target image according to the acquired parameter configuration information in the parameter configuration interface of the target operator and the target execution function corresponding to the target operator to obtain a target image processing result.
303. And if the target image processing result meets the preset result judging condition, determining the parameter configuration information as a parameter configuration result of the target operator.
In this embodiment of the present application, the preset result determination condition may be a classification model determination or a threshold determination. When the target image processing result is an image, the target image processing result is classified and predicted by using a classification model trained in advance so as to determine whether the target image processing result is qualified or unqualified. And if the target image processing result is qualified, the target image processing result meets the preset result judging condition, otherwise, the target image processing result is not met, and parameter configuration needs to be readjusted. When the target image processing result is a numerical value, if the numerical value meets a preset threshold value, the target image processing result is indicated to meet a preset result judging condition, otherwise, the target image processing result is not met, and parameter configuration needs to be readjusted. Of course, the target image processing result may be determined based on the intervention of an algorithm operator, if the current target image processing result is determined to be passed, the parameter is not adjusted any more, the currently configured parameter is locked as the parameter configuration result of the target operator, and if the current target image processing result is determined to be not passed, the current parameter configuration is adjusted again. The generating process of the parameter configuration interface of the target operator, the determining process of the target execution function, and the processing process of the target image are the same as steps 101 to 103, and are not described herein again.
It should be noted that, in the parameter configuration process, the target operator parameter configuration interface is generated based on the target parameter interface description file, and the target image processing result can be judged according to the preset result judgment condition, so that the development time of the operator parameter configuration interface is greatly reduced, and meanwhile, the accuracy of parameter configuration is ensured.
In one embodiment of the present application, for further explanation and limitation, generating a target operator parameter configuration interface according to a parameter configuration interface description file includes:
and converting the parameter attribute information and the interface component attribute information into interface component objects for each node parameter, and configuring identifiers for the interface component objects based on the parameter identifiers in the parameter attribute information.
And rendering the interface component object with the identifier configuration to a display interface to obtain a target operator parameter configuration interface.
In this embodiment of the present application, the operator parameter interface description file includes parameter attribute information of at least one node parameter, and interface component attribute information of the node parameter. The method for generating the target operator parameter configuration interface is the same as the generating process of the target operator parameter configuration interface in the image processing method provided in the first aspect of the present application, and will not be described herein.
In one embodiment of the present application, for further explanation and limitation, before determining the target operator according to the click behavior of any operator in the expected debug operator display list, the method further includes:
and responding to the operator exhibition instruction, traversing the operator parameter interface description file to determine expected debugging operator information.
And generating an expected debugging operator display list according to the expected debugging operator information.
In the embodiment of the present application, in response to an operator display instruction, a specific implementation process of generating an expected debug operator display list is the same as a corresponding method in the image processing method provided in the first aspect of the present application, and will not be described herein.
In one embodiment of the present application, for further explanation and definition, the objective operator parameter configuration interface includes a parameter auto-configuration component for configuring at least one node parameter, the parameter auto-configuration component including an auto-configuration selection component, a parameter range configuration component, and a parameter interval configuration component.
In the embodiment of the application, for a part of target operators, such as an optical character recognition operator, in order to provide a more convenient parameter debugging method, an automatic configuration selection component and a parameter range configuration component corresponding to the component and used for configuring a parameter range, and a parameter interval configuration component used for configuring a parameter interval are configured in an interface. When the automatic configuration selection component receives the trigger, the parameter range configuration component and the parameter interval configuration component are displayed in the interface, and a plurality of groups of parameter data are automatically assembled through the configuration parameter range information and the parameter interval information.
The embodiment of the application determines a target operator according to clicking behaviors of any operator in an expected debugging operator display list, and generates a target operator parameter configuration interface according to a target parameter interface description file of the target operator; processing the target image according to the acquired parameter configuration information in the parameter configuration interface of the target operator and the target execution function corresponding to the target operator to obtain a target image processing result; if the target image processing result meets the preset result judging condition, the parameter configuration information is determined to be the parameter configuration result of the target operator, so that the development time of an operator parameter configuration interface is greatly reduced, the time consumption of operator for realizing parameter configuration and running debugging is reduced, and meanwhile, the accuracy of parameter configuration is ensured, thereby greatly improving the efficiency of operator parameter debugging and reducing the development cost.
Further, as an implementation of the method shown in fig. 1, an embodiment of the present application provides an image processing apparatus, as shown in fig. 5, including:
the obtaining module 41 is configured to obtain parameter configuration information in response to an execution operation instruction in a target operator parameter configuration interface, where the target operator parameter configuration interface is generated based on a target parameter interface description file of a target operator;
A determining module 42, configured to determine a target execution function according to an operator name of the target operator and an operator execution function mapping relation set, where the operator execution function mapping relation set includes mapping relations between operator names of different expected debug operators and corresponding execution functions;
the processing module 43 is configured to operate the target operator based on the parameter configuration information and the target execution function, and obtain an operation result of the target operator, so as to adjust the parameter configuration according to the target image processing result.
Further, the apparatus further comprises:
the first compiling module is used for acquiring algorithm files of different expected debugging operators, respectively compiling the algorithm files according to a preset standard calling interface to obtain dynamic library files of the different expected debugging operators, wherein the file names of the dynamic library files are operator names corresponding to the expected debugging operators, and the expected debugging operators are determined based on the file names of the global parameter interface description files;
the construction module is used for traversing file names of the dynamic library files and operator execution functions corresponding to the dynamic library files, constructing mapping relations between different operator names and the corresponding operator execution functions based on a reflection mechanism, and obtaining an operator execution function mapping relation set.
Further, the apparatus further comprises:
the monitoring module is used for monitoring the newly-added parameter interface description file, determining a newly-added expected debugging operator according to the file name of the newly-added parameter interface description file, and acquiring a newly-added algorithm file of the newly-added expected debugging operator;
the second compiling module is used for compiling the newly-added algorithm file according to a preset standard calling interface to obtain a dynamic library file of a newly-added expected debugging operator;
and the updating module is used for updating the operator execution function mapping relation set based on the dynamic library file of the newly added expected debugging operator.
Further, the apparatus further comprises:
the first generation module is used for responding to the operator display instruction, traversing the operator parameter interface description file to determine expected debugging operator information, and generating an expected debugging operator display list according to the expected debugging operator information;
the determining module 42 is further configured to determine a target operator according to the clicking behavior of any operator in the expected debug operator display list, and obtain a target parameter interface description file of the target operator;
and the second generation module is used for generating a target operator parameter configuration interface according to the target parameter interface description file.
Further, the second generating module includes:
The conversion unit is used for converting the parameter attribute information and the interface component attribute information into interface component objects according to each node parameter, and configuring identifiers for the interface component objects based on the parameter identifiers in the parameter attribute information;
and the rendering unit is used for rendering the interface component object with the identifier configuration to the display interface to obtain the target operator parameter configuration interface.
Further, the processing module 43 includes:
a creating unit, configured to create, for each node parameter, a node object based on the interface component object identifier and the corresponding interface component object value;
the construction unit is used for constructing an execution parameter array based on the node objects of the node parameters;
the running unit is used for transmitting the execution parameter array to a target operator execution function in the target dynamic library file, and the target operator execution function processes the target image based on the execution parameter array to obtain a target image processing result.
Further, the apparatus further comprises:
and the storage module is used for updating the parameter initial value in the target parameter interface description file based on the execution parameter array so as to store the last debugging operation parameter of the target operator.
Further, the apparatus further comprises:
The verification module is used for comparing and verifying the image processing result based on a preset image processing sample;
and the third generation module is used for generating prompt information for indicating adjustment parameter configuration if the verification result is not passed.
Further, the apparatus further comprises:
the calculation module is used for calculating at least one group of position parameter configuration data according to the parameter range configuration information and the parameter interval configuration information, wherein the parameter range configuration information and the parameter interval configuration information are acquired from a parameter automatic configuration component of a parameter configuration interface of the target operator;
the identification module is used for respectively identifying the target image based on each group of parameter configuration data and the target execution function to obtain optical identification results corresponding to different parameter configuration data;
and the rendering module is used for rendering the optical identification result to an image processing result display interface so as to display the difference of the optical identification results of different parameter configuration data.
Further, the apparatus further comprises:
the processing module 43 is further configured to perform a classification process on the target image processing result by using a trained target processing result classification model, to obtain a classification processing result, where the trained target processing result classification model is obtained by training based on a historical image processing result of the target operator, and the classification processing result includes a qualified class and a non-qualified class;
And the fourth generation module is used for generating prompt information for indicating updating of the parameter configuration of the target operator if the classification processing result is a non-qualified class.
The embodiment of the application obtains parameter configuration information by responding to an execution operation instruction in a target operator parameter configuration interface, wherein the target operator parameter configuration interface is generated based on a target parameter interface description file of a target operator; determining a target execution function according to an operator name of a target operator and an operator execution function mapping relation set, wherein the operator execution function mapping relation set comprises mapping relations between different operators and corresponding dynamic library files; the target operator is operated based on the parameter configuration information and the target execution function, so that an operation result of the target operator is obtained, parameter configuration is adjusted according to a target image processing result, development time of an operator parameter configuration interface is greatly shortened, time for the operator to realize parameter configuration and operation debugging is reduced, meanwhile, accuracy of image processing is ensured, efficiency of operator parameter debugging is greatly improved, and development cost is reduced.
According to one embodiment of the present application, there is provided a storage medium storing at least one executable instruction that can perform the image processing method in any of the above-described method embodiments.
Fig. 6 is a schematic structural diagram of a terminal according to an embodiment of the present application, which is not limited to a specific implementation of the terminal.
As shown in fig. 6, the terminal may include: a processor 502, a communication interface (Communications Interface) 504, a memory 506, and a communication bus 508.
Wherein: processor 502, communication interface 505, and memory 506 communicate with each other via communication bus 508.
A communication interface 504 for communicating with network elements of other devices, such as clients or other servers.
The processor 502 is configured to execute the program 510, and may specifically perform relevant steps in the above-described image processing method embodiment.
In particular, program 510 may include program code including computer-operating instructions.
The processor 502 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present application. The one or more processors included in the terminal may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
A memory 506 for storing a program 510. Memory 506 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 510 may be specifically operable to cause the processor 502 to:
responding to an execution operation instruction in a target operator parameter configuration interface, acquiring parameter configuration information, wherein the target operator parameter configuration interface is generated based on a target parameter interface description file of a target operator;
determining a target execution function according to operator names of target operators and operator execution function mapping relation sets, wherein the operator execution function mapping relation sets comprise mapping relations between operator names of different expected debugging operators and corresponding execution functions;
and operating the target operator based on the parameter configuration information and the target execution function to obtain an operation result of the target operator so as to adjust the parameter configuration according to the target image processing result.
According to another embodiment of the present application, there is provided a storage medium storing at least one executable instruction for performing the image processing method in any of the above-described method embodiments.
Fig. 7 is a schematic structural diagram of a terminal according to another embodiment of the present application, and the specific embodiment of the present application is not limited to a specific implementation of the terminal.
As shown in fig. 7, the terminal may include: a processor 602, a communication interface (Communications Interface), a memory 606, and a communication bus 608.
Wherein: processor 602, communication interface 605, and memory 606 perform communication with each other via communication bus 608.
Communication interface 604 is used to communicate with network elements of other devices, such as clients or other servers.
The processor 602 is configured to execute the program 610, and may specifically perform relevant steps in the above-described image processing method embodiment.
In particular, program 610 may include program code including computer-operating instructions.
The processor 602 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present application. The one or more processors included in the terminal may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
A memory 606 for storing a program 610. The memory 606 may comprise high-speed RAM memory or may further comprise non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 610 may be specifically operable to cause the processor 602 to:
determining a target operator according to clicking behaviors of any operator in an expected debugging operator display list, and generating a target operator parameter configuration interface according to a target parameter interface description file of the target operator;
processing a target image according to the acquired parameter configuration information in the parameter configuration interface of the target operator and a target execution function corresponding to the target operator to obtain a target image processing result;
and if the target image processing result meets a preset result judging condition, determining the parameter configuration information as a parameter configuration result of the target operator.
It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be centralized on a single computing device, or distributed across a network of computing devices, or they may alternatively be implemented in program code executable by computing devices, such that they may be stored in a memory device for execution by the computing devices and, in some cases, the steps shown or described may be performed in a different order than what is shown or described, or they may be implemented as individual integrated circuit modules, or as individual integrated circuit modules. Thus, the present application is not limited to any specific combination of hardware and software.
The foregoing is merely a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and variations may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims (12)

1. An image processing method, comprising:
responding to an execution operation instruction in a target operator parameter configuration interface, and acquiring parameter configuration information, wherein the target operator parameter configuration interface is generated based on a target parameter interface description file of a target operator;
determining a target execution function according to operator names of the target operators and operator execution function mapping relation sets, wherein the operator execution function mapping relation sets comprise mapping relations between operator names of different expected debugging operators and corresponding execution functions;
and processing the target image based on the parameter configuration information and the target execution function to obtain a target image processing result so as to adjust the parameter configuration according to the target image processing result.
2. The method of claim 1, wherein prior to determining the target execution function from the operator name of the target operator and the set of operator execution function mappings, the method further comprises:
Acquiring algorithm files of different expected debugging operators, respectively compiling the algorithm files according to a preset standard calling interface to obtain dynamic library files of the different expected debugging operators, wherein the file names of the dynamic library files are operator names corresponding to the expected debugging operators, and the expected debugging operators are determined based on the file names of the global parameter interface description files;
traversing file names of the dynamic library files and operator execution functions corresponding to the dynamic library files, and constructing mapping relations between different operator names and the operator execution functions corresponding to the operator execution functions based on a reflection mechanism to obtain an operator execution function mapping relation set.
3. The method according to claim 2, wherein the method further comprises:
if the newly added parameter interface description file is monitored, determining a newly added expected debugging operator according to the file name of the newly added parameter interface description file, and acquiring a newly added algorithm file of the newly added expected debugging operator;
compiling the newly added algorithm file according to a preset standard calling interface to obtain a dynamic library file of the newly added expected debugging operator;
and updating the operator execution function mapping relation set based on the dynamic library file of the newly added expected debugging operator.
4. A method of parameter configuration, the method comprising:
determining a target operator according to clicking behaviors of any operator in an expected debugging operator display list, and generating a target operator parameter configuration interface according to a target parameter interface description file of the target operator;
processing a target image according to the acquired parameter configuration information in the parameter configuration interface of the target operator and a target execution function corresponding to the target operator to obtain a target image processing result;
and if the target image processing result meets a preset result judging condition, determining the parameter configuration information as a parameter configuration result of the target operator.
5. The method of claim 4, wherein the operator parameter interface description file includes parameter attribute information of at least one node parameter, and interface component attribute information of the node parameter, and wherein generating the target operator parameter configuration interface from the parameter configuration interface description file comprises:
converting the parameter attribute information and the interface component attribute information into interface component objects aiming at each node parameter, and configuring identifiers for the interface component objects based on parameter identifiers in the parameter attribute information;
And rendering the interface component object with the identifier configuration to a display interface to obtain a target operator parameter configuration interface.
6. The method of claim 4, wherein prior to determining the target operator from the click behavior of any operator in the expected debug operator manifest list, the method further comprises:
responding to an operator display instruction, traversing an operator parameter interface description file and determining expected debugging operator information;
and generating an expected debugging operator display list according to the expected debugging operator information.
7. The method of claim 4, wherein the target operator parameter configuration interface comprises a parameter auto-configuration component for configuring at least one node parameter, the parameter auto-configuration component comprising an auto-configuration selection component, a parameter range configuration component, a parameter interval configuration component.
8. An image processing apparatus, comprising:
the acquisition module is used for responding to an execution operation instruction in a target operator parameter configuration interface, and acquiring parameter configuration information, wherein the target operator parameter configuration interface is generated based on a target parameter interface description file of a target operator;
The determining module is used for determining a target execution function according to the operator names of the target operators and the operator execution function mapping relation set, wherein the operator execution function mapping relation set comprises mapping relations between operator names of different expected debugging operators and corresponding execution functions;
and the processing module is used for processing the target image based on the parameter configuration information and the target execution function to obtain a target image processing result so as to adjust the parameter configuration according to the target image processing result.
9. A storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the image processing method of any one of claims 1-3.
10. A terminal, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction, where the executable instruction causes the processor to perform the operations corresponding to the image processing method according to any one of claims 1 to 3.
11. A storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the image processing method of any one of claims 4-7.
12. A terminal, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction, where the executable instruction causes the processor to perform the operations corresponding to the image processing method according to any one of claims 4 to 7.
CN202211480204.0A 2022-11-24 2022-11-24 Image processing method and device, storage medium and terminal Pending CN115994086A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211480204.0A CN115994086A (en) 2022-11-24 2022-11-24 Image processing method and device, storage medium and terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211480204.0A CN115994086A (en) 2022-11-24 2022-11-24 Image processing method and device, storage medium and terminal

Publications (1)

Publication Number Publication Date
CN115994086A true CN115994086A (en) 2023-04-21

Family

ID=85994555

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211480204.0A Pending CN115994086A (en) 2022-11-24 2022-11-24 Image processing method and device, storage medium and terminal

Country Status (1)

Country Link
CN (1) CN115994086A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118502847A (en) * 2024-07-19 2024-08-16 北京壁仞科技开发有限公司 Method, computing device, medium and program product for determining matching operators

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118502847A (en) * 2024-07-19 2024-08-16 北京壁仞科技开发有限公司 Method, computing device, medium and program product for determining matching operators

Similar Documents

Publication Publication Date Title
CN110928772B (en) Test method and device
US8583414B1 (en) Mapping between code coverage and model coverage for a design
US20070016829A1 (en) Test case generator
CA3036812A1 (en) Test case generator built into data-integration workflow editor
US11681511B2 (en) Systems and methods for building and deploying machine learning applications
CN111026670B (en) Test case generation method, test case generation device and storage medium
US10915302B2 (en) Identification and visualization of associations among code generated from a model and sources that affect code generation
CN109614325B (en) Method and device for determining control attribute, electronic equipment and storage medium
CN109032850A (en) Field device debugging system and field device adjustment method
CN112947914A (en) Code generation method and device based on model, computer equipment and medium
CN117931620A (en) Automatic test method for reducing test technical threshold of intelligent terminal system
CN118245032B (en) Attribute linkage engine method and system for customer relationship management
CN113448678A (en) Application information generation method, deployment method, device, system and storage medium
CN115994086A (en) Image processing method and device, storage medium and terminal
CN114594943B (en) Data modeling method, device, equipment and storage medium
EP3671467A1 (en) Gui application testing using bots
CN114816425B (en) Method and system for converting an automation language program into a LUA language program
Andrzejak et al. Confguru-A system for fully automated debugging of configuration errors
US20230350392A1 (en) Method and system for seamless transition of runtime system from controller device to digitalization platform
EP4432095A1 (en) Unit testing generation method and apparatus, and related device
US20240256273A1 (en) Program structure analyzer and method for analyzing program structure
CN116643755A (en) Code generation method, code generation device, visualization platform and electronic equipment
CN113762671A (en) Risk assessment method, device and system
Di Martino et al. Recognition of dynamic Data structures to support porting of applications to the Cloud
CN118331892A (en) Pipelined software testing method and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination