CN112486495A - Industrial visual algorithm deployment method, system and storage medium - Google Patents
Industrial visual algorithm deployment method, system and storage medium Download PDFInfo
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Abstract
The invention provides an industrial vision algorithm deployment method, an industrial vision algorithm deployment device and a storage medium, wherein the method comprises the following steps: pushing a Docker mirror image packaged with an industrial vision algorithm and a corresponding operating environment into a Docker warehouse in an algorithm development device; and in the algorithm deployment equipment, pulling the Docker mirror image packaged with the industrial vision algorithm and the corresponding operating environment from the Docker warehouse to deploy the industrial vision algorithm. The scheme provided by the invention can avoid the condition of algorithm operation failure caused by different development environments and deployment environments.
Description
Technical Field
The invention relates to the field of control, in particular to an industrial vision algorithm deployment method, an industrial vision algorithm deployment system and a storage medium.
Background
The existing vision control systems are more and more complex, have more and more functions, gradually increase the coupling among the functions, multiplex a function and multiple scenes, and the like, which brings great challenges to the deployment of industrial vision algorithms. Industrial vision algorithm deployment is the last stage of the whole vision system development, and how to deploy the algorithm plays a critical role in whether the vision system can work normally.
A common algorithm deployment scheme is: compiling and packing the developed algorithm into a library file or directly calling an algorithm source code. During deployment, the library file or the source code is moved to a deployment machine, and the algorithm is directly run after the environment is configured. This simplifies a certain amount of work, but the operating environment of each deployed machine may be different and it is difficult to achieve the same environment as that of the algorithm development machine.
The existing industrial vision algorithm deployment mode is source code compiling, environment configuration and program running. When the industrial vision algorithm is operated on a new machine, the problems that the deployment environment is inconsistent with the development environment, some source codes are compiled wrongly or the operation is failed are encountered.
Disclosure of Invention
The main purpose of the present invention is to overcome the defects of the prior art, and provide a method, an apparatus and a storage medium for deploying an industrial visual algorithm, so as to solve the problem in the prior art that a source code compiling error or a running failure occurs due to inconsistency between a deployment environment and a development environment when an industrial visual algorithm is deployed.
The invention provides an industrial vision algorithm deployment method on one hand, which comprises the following steps: pushing a Docker mirror image packaged with an industrial vision algorithm and a corresponding operating environment into a Docker warehouse in an algorithm development device; and in the algorithm deployment equipment, pulling the Docker mirror image packaged with the industrial vision algorithm and the corresponding operating environment from the Docker warehouse to deploy the industrial vision algorithm.
Optionally, the industrial vision algorithm includes more than one functional module, and each functional module and the corresponding operating environment are packaged into a Docker mirror image.
Optionally, the Docker mirror image encapsulated by each functional module is connected with an intermediate message component; the Docker mirror image encapsulated by each functional module has a unique IP port number.
Optionally, encapsulating the industrial vision algorithm and the corresponding operating environment as a Docker mirror image, including: loading the Ubuntu image by using a Docker pull command by using a Docker container; configuring an operating environment required by compiling and operating an industrial vision algorithm in the Ubuntu mirror image; copying the industrial vision algorithm into the Ubuntu mirror image for compiling and running; cleaning configurations and environments within the Docker container that are not related to the industrial vision algorithm.
In another aspect, the present invention provides an industrial vision algorithm deployment system, including: the development unit is used for pushing the Docker mirror image packaged with the industrial vision algorithm and the corresponding operating environment into a Docker warehouse in the algorithm development equipment; and the deployment unit is used for pulling the Docker mirror image packaged with the industrial visual algorithm and the corresponding operating environment from the Docker warehouse in the algorithm deployment equipment so as to deploy the industrial visual algorithm.
Optionally, the industrial vision algorithm includes more than one functional module, and each functional module and the corresponding operating environment are packaged into a Docker mirror image.
Optionally, the Docker mirror image encapsulated by each functional module is connected with an intermediate message component; the Docker mirror image encapsulated by each functional module has a unique IP port number.
Optionally, encapsulating the industrial vision algorithm and the corresponding operating environment as a Docker mirror image, including: loading the Ubuntu image by using a Docker pull command by using a Docker container; configuring an operating environment required by compiling and operating an industrial vision algorithm in the Ubuntu mirror image; copying the industrial vision algorithm into the Ubuntu mirror image for compiling and running; cleaning configurations and environments within the Docker container that are not related to the industrial vision algorithm.
A further aspect of the invention provides a storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of any of the methods described above.
According to the technical scheme of the invention, the industrial vision algorithm is modularized by utilizing the characteristic of Docker container virtualization, and each module and the operation environment are packaged into a Docker container, so that the problems caused by different operation environments of the algorithm are reduced, and meanwhile, the rapid deployment of the industrial algorithm can be realized.
And a distributed strategy is adopted, an intermediate message component is added, and each encapsulated module is connected to the intermediate message component, so that the coupling among the modules can be reduced, the expansibility and the portability of the system can be improved, and when a certain function needs to be expanded, the function module is connected to the message component.
By adopting the method to deploy the industrial vision algorithm, the condition that the operation of the algorithm fails due to the difference between the development environment and the deployment environment is avoided, the expansibility of the whole system is increased, and compared with the traditional algorithm deployment mode, the time cost and the labor cost of deployment are effectively reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a method diagram of one embodiment of an industrial vision algorithm deployment method provided by the present invention;
FIG. 2 is a flowchart of a specific implementation of encapsulating an industrial vision algorithm and corresponding operating environment as a Docker mirror, in accordance with an embodiment of the present invention;
FIG. 3 is a general flow diagram of one embodiment of an industrial vision algorithm deployment method provided by the present invention;
FIG. 4 is a schematic diagram of an algorithm deployment according to the present invention;
FIG. 5 is a block diagram of an embodiment of an industrial vision algorithm deployment system provided by the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The existing industrial vision algorithm deployment mode is source code compiling, environment configuration and program running. When the industrial vision algorithm is operated on a new machine, the problems that the deployment environment is inconsistent with the development environment, some source codes are compiled wrongly or the operation is failed are encountered. The traditional industrial vision algorithm has poor deployment expansibility and a long development period, and when a certain function is expanded, an expanded function source code needs to be added into an industrial vision algorithm source code, and the environment and the deployment need to be recompiled, reconfigured.
The invention provides an industrial vision algorithm deployment method and system, which adopt the characteristic of Docker tool packaging (packaging the algorithm and the operating environment), use the tool in the industrial vision field and are used for increasing the stability and expansibility of the algorithm. Docker is a packaging tool that can package an algorithm and an environment in which the algorithm is run, and if the algorithm is to be run, a Docker container is started. Moving to other equipment, the system can run quickly.
FIG. 1 is a method diagram of an embodiment of an industrial vision algorithm deployment method provided by the invention.
As shown in fig. 1, according to an embodiment of the present invention, the method includes at least step S110 and step S120.
And S110, pushing the Docker mirror image packaged with the industrial vision algorithm and the corresponding operating environment to a Docker warehouse in the algorithm development equipment.
Specifically, in an algorithm development part, after the development of the industrial visual algorithm is completed (for example, a certain function of the industrial visual algorithm is developed) in an algorithm development device, a Docker packaging tool is used for packaging the industrial visual algorithm and a corresponding operating environment into a Docker mirror image, and then a Docker push command is used for pushing the Docker mirror image into a Docker warehouse. The algorithm development device may be a computer (computer).
FIG. 2 is a flowchart illustrating an implementation of encapsulating an industrial vision algorithm and corresponding operating environment as a Docker mirror, in accordance with an embodiment of the present invention. As shown in fig. 2, encapsulating the industrial vision algorithm and the corresponding operating environment as a Docker image may specifically include loading an Ubuntu image using a Docker pull command with a Docker container; configuring an operating environment required by compiling and operating an industrial vision algorithm in the Ubuntu mirror image; copying the industrial vision algorithm into the Ubuntu mirror image for compiling and running; cleaning the configuration and environment which are irrelevant to the industrial vision algorithm in the Docker container; and exposing the result of the compiling operation of the industrial vision algorithm for other modules.
And (3) Docker encapsulation is utilized, after the Docker is started, the Docker mirror image of the function reads input on the intermediate component, and after operation, the output is put on the intermediate component through an IP port number. Both input and output are placed on the intermediate component, with a unique identity determined by the IP port number. If the data is input, the function Docker mirror image reads the data of which the IP port number is 65001 mirror image and which is placed on the intermediate message component, and after the data is processed, the function Docker mirror image puts the output data on the intermediate message component through the IP port number 66001 of the function Docker mirror image and waits for other mirror images to read the data of the port number 66001.
Step S120, in the algorithm deployment device, pulling the Docker mirror image packaged with the industrial visual algorithm and the corresponding operating environment from the Docker warehouse to deploy the industrial visual algorithm.
Specifically, in the algorithm deployment part, the algorithm deployment equipment is provided with a Docker software and a Docker-composition deployment tool, a Docker pull command is used for pulling a Docker image from a Docker warehouse, and finally a Docker-composition. yml file and other algorithm parameters are configured in the algorithm deployment equipment. And connecting the configuration of each Docker container together by using a Docker-composition deployment tool, running the configuration together on the algorithm deployment equipment, and realizing the configuration through a Docker-composition. The algorithm deployment device may specifically be a computer (a computer).
The general implementation flow of the present invention can be referred to as fig. 3. FIG. 3 is a general flow diagram of an embodiment of an industrial vision algorithm deployment method provided by the present invention. Wherein, 1 and 2 are algorithm development devices, and 3 and 4 are algorithm deployment devices.
In some embodiments, the industrial vision algorithm includes more than one functional module, and each functional module and the corresponding operating environment are packaged into a Docker mirror image. That is, each functional module and corresponding operating environment of the industrial vision algorithm are respectively packaged into a Docker mirror image.
Further, the Docker mirror image encapsulated by each functional module is connected with an intermediate message component. That is, communication is required between each Docker container, information is transferred, and intermediate message components are used to connect the Docker images. The intermediate message component is used as a channel for transmitting information, and the transmitted information and the destination are placed on a message bus, so that the modules are isolated. The communication between the individual modules can only be transmitted via a message bus. The middle message component is added, so that all the functional modules can be decoupled, the coupling between the functional modules is reduced, and if one module fails, other modules can continue to operate without affecting other modules. Referring specifically to fig. 4, fig. 4 is a schematic diagram of an algorithm deployment according to the present invention. As shown in fig. 4, the Docker image encapsulated by each functional module is connected to the intermediate message component through a Docker network card, the Docker image encapsulated by each functional module has a unique IP port number, so as to distinguish the difference of each module, the Docker container and the bus are paired in a veth pair, and if the veth pair is the same, communication is possible.
As shown in fig. 4, the port numbers of the acquisition module and the analysis module are 65xxx and 66xxx, respectively. If the algorithm function needs to be expanded or a plurality of same modules are used, the expanded algorithm function module is connected with the middle message component and is allocated with a unique IP port number for identifying the function module, if one algorithm needs to be added, other algorithms do not need to be changed, the newly added algorithm is packaged into a Docker mirror image, and the transmitted message is placed in the middle component. As shown in fig. 4, the example vision system has multiple acquisition modules and analysis modules and assigns different IP port numbers.
FIG. 5 is a block diagram of an embodiment of an industrial vision algorithm deployment system provided by the present invention. As shown in fig. 5, the system 100 includes a development unit 110 and a deployment unit 120.
The development unit 110 is configured to push, in an algorithm development device, a Docker image in which an industrial vision algorithm and a corresponding operating environment are encapsulated into a Docker warehouse.
Specifically, in the algorithm development part, after the development of the industrial visual algorithm is completed (for example, a certain function of the industrial visual algorithm is developed) in the algorithm development device, the development unit 110 packages the industrial visual algorithm and the corresponding operating environment into a Docker image by using a Docker packaging tool, and then pushes the Docker image into a Docker warehouse by using a Docker push command. The algorithm development device may be a computer (computer).
FIG. 2 is a flowchart illustrating an implementation of encapsulating an industrial vision algorithm and corresponding operating environment as a Docker mirror, in accordance with an embodiment of the present invention. As shown in fig. 2, encapsulating the industrial vision algorithm and the corresponding operating environment as a Docker image may specifically include loading an Ubuntu image using a Docker pull command with a Docker container; configuring an operating environment required by compiling and operating an industrial vision algorithm in the Ubuntu mirror image; copying the industrial vision algorithm into the Ubuntu mirror image for compiling and running; cleaning the configuration and environment which are irrelevant to the industrial vision algorithm in the Docker container; and exposing the result of the compiling operation of the industrial vision algorithm for other modules.
And (3) Docker encapsulation is utilized, after the Docker is started, the Docker mirror image of the function reads input on the intermediate component, and after operation, the output is put on the intermediate component through an IP port number. Both input and output are placed on the intermediate component, with a unique identity determined by the IP port number. If the data is input, the function Docker mirror image reads the data of which the IP port number is 65001 mirror image and which is placed on the intermediate message component, and after the data is processed, the function Docker mirror image puts the output data on the intermediate message component through the IP port number 66001 of the function Docker mirror image and waits for other mirror images to read the data of the port number 66001.
The deployment unit 120 is configured to pull the Docker mirror encapsulated with the industrial visual algorithm and the corresponding operating environment from the Docker warehouse in the algorithm deployment device, so as to perform industrial visual algorithm deployment.
Specifically, in the algorithm deployment part, firstly, a Docker software and a Docker-compound deployment tool are installed on the algorithm deployment device, the deployment unit 120 uses a Docker pull command to pull a Docker image from a Docker warehouse, and finally, a Docker-compound. yml file and other algorithm parameters are configured in the algorithm deployment device. And connecting the configuration of each Docker container together by using a Docker-composition deployment tool, running the configuration together on the algorithm deployment equipment, and realizing the configuration through a Docker-composition. The algorithm deployment device may specifically be a computer (a computer).
The general implementation flow of the present invention can be referred to as fig. 3. FIG. 3 is a general flow diagram of an embodiment of an industrial vision algorithm deployment method provided by the present invention. Wherein, 1 and 2 are algorithm development devices, and 3 and 4 are algorithm deployment devices.
In some embodiments, the industrial vision algorithm includes more than one functional module, and each functional module and the corresponding operating environment are packaged into a Docker mirror image. That is, each functional module and corresponding operating environment of the industrial vision algorithm are respectively packaged into a Docker mirror image.
Further, the Docker mirror image encapsulated by each functional module is connected with an intermediate message component. That is, communication is required between each Docker container, information is transferred, and intermediate message components are used to connect the Docker images. The intermediate message component is used as a channel for transmitting information, and the transmitted information and the destination are placed on a message bus, so that the modules are isolated. The communication between the individual modules can only be transmitted via a message bus. The middle message component is added, so that all the functional modules can be decoupled, the coupling between the functional modules is reduced, and if one module fails, other modules can continue to operate without affecting other modules. Referring specifically to fig. 4, fig. 4 is a schematic diagram of an algorithm deployment according to the present invention. As shown in fig. 4, the Docker image encapsulated by each functional module is connected to the intermediate message component through a Docker network card, the Docker image encapsulated by each functional module has a unique IP port number, so as to distinguish the difference of each module, the Docker container and the bus are paired in a veth pair, and if the veth pair is the same, communication is possible.
As shown in fig. 4, the port numbers of the acquisition module and the analysis module are 65xxx and 66xxx, respectively. If the algorithm function needs to be expanded or a plurality of same modules are used, the expanded algorithm function module is connected with the middle message component and is allocated with a unique IP port number for identifying the function module, if one algorithm needs to be added, other algorithms do not need to be changed, the newly added algorithm is packaged into a Docker mirror image, and the transmitted message is placed in the middle component. As shown in fig. 4, the example vision system has multiple acquisition modules and analysis modules and assigns different IP port numbers.
The invention also provides a storage medium corresponding to the industrial vision algorithm deployment method, on which a computer program is stored, which when executed by a processor implements the steps of any of the methods described above.
Therefore, according to the scheme provided by the invention, the industrial vision algorithm is modularized by utilizing the characteristic of Docker container virtualization, each module and the operation environment are packaged into a Docker container, the problems caused by different operation environments of the algorithm are reduced, and meanwhile, the rapid deployment of the industrial algorithm can be realized.
And a distributed strategy is adopted, an intermediate message component is added, and each encapsulated module is connected to the intermediate message component, so that the coupling among the modules can be reduced, the expansibility and the portability of the system can be improved, and when a certain function needs to be expanded, the function module is connected to the message component.
By adopting the method to deploy the industrial vision algorithm, the condition that the operation of the algorithm fails due to the difference between the development environment and the deployment environment is avoided, the expansibility of the whole system is increased, and compared with the traditional algorithm deployment mode, the time cost and the labor cost of deployment are effectively reduced.
The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Other examples and implementations are within the scope and spirit of the invention and the following claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwired, or a combination of any of these. In addition, each functional unit may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and the parts serving as the control device may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (9)
1. An industrial vision algorithm deployment method, comprising:
pushing a Docker mirror image packaged with an industrial vision algorithm and a corresponding operating environment into a Docker warehouse in an algorithm development device;
and in the algorithm deployment equipment, pulling the Docker mirror image packaged with the industrial vision algorithm and the corresponding operating environment from the Docker warehouse to deploy the industrial vision algorithm.
2. The method of claim 1,
the industrial vision algorithm comprises more than one functional module, and each functional module and the corresponding operating environment are packaged into a Docker mirror image.
3. The method of claim 2,
the Docker mirror image packaged by each functional module is connected with an intermediate message component;
the Docker mirror image encapsulated by each functional module has a unique IP port number.
4. The method of any of claims 1-3, wherein encapsulating the industrial vision algorithm and the corresponding operating environment as a Docker mirror comprises:
loading the Ubuntu image by using a Docker pull command by using a Docker container;
configuring an operating environment required by compiling and operating an industrial vision algorithm in the Ubuntu mirror image;
copying the industrial vision algorithm into the Ubuntu mirror image for compiling and running;
cleaning configurations and environments within the Docker container that are not related to the industrial vision algorithm.
5. An industrial vision algorithm deployment system, comprising:
the development unit is used for pushing the Docker mirror image packaged with the industrial vision algorithm and the corresponding operating environment into a Docker warehouse in the algorithm development equipment;
and the deployment unit is used for pulling the Docker mirror image packaged with the industrial visual algorithm and the corresponding operating environment from the Docker warehouse in the algorithm deployment equipment so as to deploy the industrial visual algorithm.
6. The system of claim 5,
the industrial vision algorithm comprises more than one functional module, and each functional module and the corresponding operating environment are packaged into a Docker mirror image.
7. The system of claim 6,
the Docker mirror image packaged by each functional module is connected with an intermediate message component;
the Docker mirror image encapsulated by each functional module has a unique IP port number.
8. The system of any of claims 5-7, wherein encapsulating the industrial vision algorithm and the corresponding operating environment as a Docker mirror comprises:
loading the Ubuntu image by using a Docker pull command by using a Docker container;
configuring an operating environment required by compiling and operating an industrial vision algorithm in the Ubuntu mirror image;
copying the industrial vision algorithm into the Ubuntu mirror image for compiling and running;
cleaning configurations and environments within the Docker container that are not related to the industrial vision algorithm.
9. A storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 4.
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Application publication date: 20210312 |