CN117950809A - Cloud rendering method, device, electronic device, storage medium and program product - Google Patents

Abstract

The application provides a cloud rendering method, a cloud rendering device, electronic equipment, a storage medium and a program product, which are used for solving the problem that a large amount of storage space is occupied by a rendering mirror image in the prior art. The method comprises the following steps: receiving a rendering request, wherein the rendering request carries rendering materials and rendering parameters; acquiring an image file corresponding to the rendering parameters based on a preset image file library, wherein the image file comprises a system image, a rendering software image and a rendering plug-in image; and creating a target virtual machine based on the image file, and rendering the rendering material based on the target virtual machine. The application can reduce the storage occupation space of the mirror image under the condition of meeting the requirement of users.

Description

Cloud rendering method, device, electronic device, storage medium and program product

Technical Field

The present application relates to the field of rendering technology, and in particular to a cloud rendering method, device, electronic device, storage medium and program product.

Background technique

When creating an existing rendering host, it is necessary to read the rendering image. The rendering image mainly includes the system image, rendering software image, and rendering plug-in image. Different rendering images are mainly different in rendering software and rendering plug-ins, while the underlying system image is the same. Therefore, multiple rendering images have the situation where resources are repeatedly occupied by storage space. Moreover, since customers will use different rendering software and plug-ins during use, all customer needs can only be met when the number of rendering images is the product of the number of rendering software, the number of rendering software versions, and the number of rendering plug-ins, resulting in a large amount of storage space being occupied.

Summary of the invention

The embodiments of the present application provide a cloud rendering method, device and electronic device to solve the problem in the prior art that rendering images occupy a large amount of storage space.

To solve the above technical problems, this application is implemented as follows:

In a first aspect, an embodiment of the present application provides a cloud rendering method, including:

Receive a rendering request, wherein the rendering request carries rendering material and rendering parameters;

Based on a preset image file library, an image file corresponding to the rendering parameter is obtained, wherein the image file includes a system image, a rendering software image, and a rendering plug-in image;

A target virtual machine is created based on the image file, and the rendering material is rendered based on the target virtual machine.

In a second aspect, an embodiment of the present application provides a cloud rendering platform, including:

The cloud rendering console is used to receive a rendering request, wherein the rendering request carries rendering materials and rendering parameters;

A cloud management platform, for acquiring an image file corresponding to the rendering parameters based on a preset image file library, wherein the image file includes a system image, a rendering software image, and a rendering plug-in image;

The cloud management platform is further used to create a target virtual machine based on the image file, and render the rendering material based on the target virtual machine.

In a third aspect, an embodiment of the present application provides an electronic device, including a transceiver and a processor, wherein the transceiver is used to receive a rendering request, wherein the rendering request carries a rendering material and a rendering parameter;

The processor is used to obtain an image file corresponding to the rendering parameter based on a preset image file library, wherein the image file includes a system image, a rendering software image, and a rendering plug-in image;

A target virtual machine is created based on the image file, and the rendering material is rendered based on the target virtual machine.

In a fourth aspect, an embodiment of the present application provides an electronic device, comprising: a processor, a memory, and a program stored in the memory and executable on the processor, wherein when the program is executed by the processor, the steps of the cloud rendering method described in the first aspect above are implemented.

In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the cloud rendering method described in the first aspect above are implemented.

In a sixth aspect, an embodiment of the present application provides a computer program product, comprising computer instructions, which, when executed by a processor, implement the steps of the cloud rendering method as described in the first aspect above.

In an embodiment of the present application, the cloud rendering method includes receiving a rendering request, the rendering request carries rendering material and rendering parameters, obtaining an image file corresponding to the rendering parameters based on a preset image file library, the image file including a system image, a rendering software image and a rendering plug-in image, creating a target virtual machine based on the image file, and rendering the rendering material based on the target virtual machine. In this way, the system image, the rendering software image and the rendering plug-in image can be combined and packaged according to the actual rendering needs of the user by splitting and managing the three layers according to the system image, the rendering software image and the rendering plug-in image, creating a target virtual machine, adapting to the rendering needs in multiple scenarios, and thereby reducing the number of images produced, thereby reducing the storage space occupied by the image while meeting the user's needs.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

FIG1 is a flow chart of a cloud rendering method provided in an embodiment of the present application;

FIG. 2 is a second flowchart of a cloud rendering method provided in an embodiment of the present application;

FIG3 is an interactive schematic diagram of a cloud rendering platform provided in an embodiment of the present application;

FIG4 is a third flowchart of a cloud rendering method provided in an embodiment of the present application;

FIG5 is one of the interface display schematic diagrams provided in an embodiment of the present application;

FIG6 is a second schematic diagram of an interface display provided in an embodiment of the present application;

FIG7 is a schematic diagram of the structure of a cloud rendering platform provided in an embodiment of the present application;

FIG8 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

Detailed ways

The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

In an embodiment of the present application, a cloud rendering method is proposed to solve the problem in the prior art that the rendering image occupies a large amount of storage space.

Referring to FIG. 1 , FIG. 1 is a flow chart of a cloud rendering method provided in an embodiment of the present application. As shown in FIG. 1 , the method includes the following steps:

Step 101: Receive a rendering request, where the rendering request carries rendering material and rendering parameters.

The rendering request may be a request determined by a user on a cloud rendering platform to render the rendering material according to the rendering parameters. The rendering material may be the original resources and data used to create the final image or video, and may specifically include 3D models, texture maps, animation data, lighting settings, camera path information, and other related files for completing the visual effects required for rendering. The rendering parameters may be used to indicate the operating system version, rendering software version, and rendering plug-in version required for rendering.

Step 102: Based on a preset image file library, an image file corresponding to the rendering parameters is obtained, where the image file includes a system image, a rendering software image, and a rendering plug-in image.

The preset image file library may include preset image files, which may be an exact copy of a certain operating system, configuration or software stack, and may include all necessary executable programs, library files, configuration files and other supporting files in the file system. The system image may include a virtual disk that has been installed and can start the operating system, the rendering software image may be a virtual disk that includes the rendering software alone, and the rendering plug-in image may be a virtual disk that includes the rendering plug-in alone.

It should be noted that, in the embodiment of the present application, the image files required for rendering include a system image, a rendering software image, and a rendering plug-in image.

Step 103: Create a target virtual machine based on the image file, and render the rendering material based on the target virtual machine.

The target virtual machine may be a virtual machine used to render the rendering material. After the rendering task is completed, the target virtual machine may be deregistered.

In an embodiment of the present application, the cloud rendering method includes receiving a rendering request, the rendering request carries rendering material and rendering parameters, obtaining an image file corresponding to the rendering parameters, the image file including a system image, a rendering software image and a rendering plug-in image, creating a target virtual machine based on the image file, and rendering the rendering material based on the target virtual machine. In this way, the system image, the rendering software image and the rendering plug-in image can be combined and packaged according to the actual rendering needs of the user by splitting and managing the three layers according to the system image, the rendering software image and the rendering plug-in image, creating a target virtual machine, adapting to the rendering needs in multiple scenarios, and thereby reducing the number of images produced, thereby reducing the storage space occupied by the image while meeting the user's needs.

Optionally, before acquiring the image file corresponding to the rendering parameter based on the preset image file library, the method further includes:

Generate the system image corresponding to the preset operating system;

Creating a first virtual machine based on the system image, and generating the rendering software image corresponding to the preset rendering software based on the first virtual machine;

A second virtual machine is created based on the rendering software image, and the rendering plug-in image corresponding to the preset rendering plug-in is generated based on the second virtual machine.

It should be noted that one operating system can correspond to multiple rendering software, and one rendering software can correspond to multiple rendering plug-ins, that is, one system image can correspond to multiple rendering software images, that is, one rendering software image can correspond to multiple rendering plug-in images.

Specifically, the preset operating system may be a current mainstream operating system. The first virtual machine may be created based on the system image. The rendering software may include current mainstream rendering software, or may include rendering software corresponding to rendering parameters applied by a user.

Specifically, the system image corresponding to the preset operating system can be generated by creating a virtual machine of the Windows operating system and making a basic system image file based on this version. Exemplarily, the system image can be a qcow2 format file, and the system image file name can be customized. The system image file can be named according to the three dimensions of system name, version number, and creation time, for example, Windows10 (system name)_22H2 (version number)_20231010 (creation time).qcow2.

The second virtual machine may be created based on the rendering software image and the system image corresponding to the rendering software image file. The rendering plug-in may include a current mainstream rendering plug-in or a rendering plug-in corresponding to the rendering parameters requested by the user.

It should be noted that virtual machine images have different formats, which are not specifically limited in this application. The above description only uses the qcow2 format as an example. Common formats include raw format and qcow2 format. Compared with the raw format, the qcow2 format image occupies less space and supports snapshots, Copy-On-Write, AES encryption, zlib compression and other features, but its performance is slightly inferior to the raw format image.

Exemplarily, Figure 2 is the second flowchart of a cloud rendering method provided by an embodiment of the present application. As shown in Figure 2, layered image production can specifically include system images, rendering software images, and rendering plug-in images. The creation of a rendering virtual machine includes resource application, that is, the user applies to create a virtual machine for rendering, and performs image query based on the resource application, that is, querying in the image obtained by layered image production, and then loading the queried image to create a virtual machine for rendering.

In this embodiment, the above-mentioned cloud rendering method includes generating the system image corresponding to the preset operating system, creating a first virtual machine based on the system image, and generating the rendering software image corresponding to the preset rendering software based on the first virtual machine, creating a second virtual machine based on the rendering software image, and generating the rendering plug-in image corresponding to the preset rendering plug-in based on the second virtual machine. In this way, by creating the basic system image, rendering software image and rendering plug-in image required for the rendering virtual machine, the system image, rendering software image and rendering plug-in image can be combined and used according to the actual needs of the user during rendering, thereby further improving the adaptability of the image file.

Optionally, after generating the rendering plug-in image corresponding to the preset rendering plug-in based on the second virtual machine, the method further includes:

The system image, the rendering software image and the rendering plug-in image are stored in the image file library.

Specifically, the above-mentioned image file library may be an image warehouse of a rendering room.

In this implementation, the cloud rendering method can store the system image, the rendering software image and the rendering plug-in image in the image file library, so that the image file can be directly obtained from the image file library to create a rendering virtual machine, thereby improving the rendering efficiency.

Optionally, the acquiring, based on a preset image file library, an image file corresponding to the rendering parameter comprises:

In a case where the image file corresponding to the rendering parameter is stored in the image file library, acquiring the image file corresponding to the rendering parameter from the image file library;

In a case where the image file corresponding to the rendering parameter is not stored in the image file library, an image file corresponding to the rendering parameter is generated.

Exemplarily, when a certain rendering plug-in image corresponding to the rendering parameter is not stored in the image library, the rendering plug-in image can be generated in the aforementioned manner of making a rendering plug-in image and stored in the image file library.

In this implementation, the above-mentioned cloud rendering method can obtain the image file corresponding to the rendering parameters from the image file library when the image file corresponding to the rendering parameters is stored in the image file library, and generate the image file corresponding to the rendering parameters when the image file corresponding to the rendering parameters is not stored in the image file library, so that the image file in the image file library can be called according to the rendering parameters, and then the rendering virtual machine is created, which can improve the rendering efficiency and meet the user's customized needs, thereby improving the applicability of the cloud rendering method.

Optionally, after storing the system image, the rendering software image, and the rendering plug-in image in the image file library, the method further includes:

storing a correspondence between the first identification information and the first location information corresponding to the system image, a correspondence between the second identification information and the second location information corresponding to the rendering software image, and a correspondence between the third identification information and the third location information corresponding to the rendering plug-in image;

The second identification information includes a first parent image identification of the rendering software image, where the first parent image identification is used to identify a system image corresponding to the rendering software image;

The third identification information includes a second parent image identifier of the rendering plug-in image, where the second parent image identifier is used to identify the rendering plug-in image corresponding to the rendering plug-in image.

Specifically, the first identification information may be a unique identification code corresponding to the system image, the first location information may be a storage location corresponding to the system image, the second identification information may be a unique identification code corresponding to the rendering software image, the second location information may be a storage location corresponding to the rendering software image, the third identification information may be a unique identification code corresponding to the rendering plug-in image, and the third location information may be a storage location corresponding to the rendering plug-in image.

It should be noted that, in addition to storing the above-mentioned corresponding relationships, the file name of the image, the alias of the image, etc. can also be stored, and this application does not make specific limitations on this.

Exemplarily, the stored image information may specifically include the unique identifier (20 bits) of the image, the file name of the image, the alias of the image, the image file room identifier, the path location of the image file, and the unique identifier (20 bits) of the parent image, where the parent image is the base image corresponding to the creation of the current image. For example, the parent image of the rendering software image of Maya_2020_Windows10_22H2_20231010.qcow2 is the system image of Windows10_22H2_20231010.qcow2.

Taking the aforementioned image file as an example, the following three pieces of data information can be stored:

The first piece of data is the information of the basic system image: 20231010092835000001 (the unique identifier of the image), Windows10_22H2_20231010.qcow2 (the file name of the image), Windows 10 (the alias of the image), suzhou (the image file room identifier), \etc\soft\ (the path location of the image file), 0 (the unique identifier of the parent image);

The second piece of data is the information of the rendering software image: 20231010103025000002 (the unique identifier of the image), Maya_2020_Windows10_22H2_20231010.qcow2 (the file name of the image), Maya 2020 (the alias of the image), suzhou (the image file room identifier), \etc\soft\ (the path location of the image file), 20231010092835000001 (the unique identifier of the parent image);

The third piece of data is the information of the rendering plug-in image: 20231010113010000003 (unique identifier of the image), Mtoa_423_Maya_2020_Windows10_22H2_20231010.qcow2 (file name of the image), Mota 4.2.3 (alias of the image), suzhou (image file room identifier), \etc\soft\ (path location of the image file), 20231010103025000002 (unique identifier of the parent image).

In this embodiment, the cloud rendering method can store the corresponding relationship between the first identification information and the first position information corresponding to the system image, the corresponding relationship between the second identification information and the second position information corresponding to the rendering software image, and the corresponding relationship between the third identification information and the third position information corresponding to the rendering plug-in image; the second identification information includes the first parent image identification of the rendering software image, and the first parent image identification is used to identify the system image corresponding to the rendering software image; the third identification information includes the second parent image identification of the rendering plug-in image, and the second parent image identification is used to identify the rendering plug-in image corresponding to the rendering plug-in image. In this way, when obtaining the image file corresponding to the rendering parameter, the image file can be first queried and retrieved according to the identification information of the image file, and when the identification information exists, the position information is determined according to the identification information, and then the image file is obtained, thereby improving the efficiency of obtaining the image file, and when obtaining the image file corresponding to the rendering parameter, the parent image identification can be used to search in sequence, and then when creating the target virtual machine, the image files can be loaded into the memory in sequence according to the parent-child relationship according to the query, that is, the parent image file is loaded first, and then the child image file is loaded to complete the creation of the virtual machine, thereby further improving the efficiency of cloud rendering.

Optionally, generating the rendering software image corresponding to the preset rendering software based on the first virtual machine includes:

Installing preset rendering software in the first virtual machine;

Exporting the newly added storage data in the first virtual machine to obtain the rendering software image;

The generating the rendering plug-in image corresponding to the preset rendering plug-in based on the second virtual machine includes:

Installing a preset rendering plug-in in the second virtual machine;

The newly added storage data in the second virtual machine is exported to obtain the rendering plug-in image.

Exemplarily, a specified version of the rendering software is installed in the newly created first virtual machine. After the installation is complete, the rendering software is started to confirm that the rendering software can perform production and rendering, and then the first virtual machine is shut down. The newly added storage data is exported as a qcow2 format file as a rendering software image file. The image file name is customizable and can be named according to the rendering software name, rendering software version, operating system name, operating system version number, and creation time. For example, Maya (software name)_2020 (software version)_Windows 10 (operating system name)_22H2 (operating system version number)_20231010 (creation time).qcow2.

Install the specified version of the rendering plug-in in the newly created second virtual machine. After the installation is complete, start the rendering software and plug-in, confirm that the rendering plug-in can be used, shut down the second virtual machine, and export the newly added storage data as a qcow2 format file as a rendering plug-in image file. The name of the rendering plug-in image file can be customized. The rendering plug-in image file can be named according to the rendering plug-in name, rendering plug-in version, rendering software name, rendering software version, operating system name, operating system version number, and creation time, such as Mtoa (plug-in name)_423 (plug-in version)_Maya (rendering software name)_2020 (rendering software version)_Windows10 (operating system name)_22H2 (operating system version number)_20231010 (creation time).qcow2.

It should be noted that virtual machine images have different formats, which are not specifically limited in this application. The above description only uses the qcow2 format as an example. Common formats include raw format and qcow2 format. Compared with the raw format, the qcow2 format image occupies less space and supports snapshots, Copy-On-Write, AES encryption, zlib compression and other features, but its performance is slightly inferior to the raw format image.

In this implementation, the cloud rendering method can be implemented by installing a preset rendering software in the first virtual machine, exporting the newly added storage data in the first virtual machine to obtain the rendering software image, and installing a preset rendering plug-in in the second virtual machine; exporting the newly added storage data in the second virtual machine to obtain the rendering plug-in image, so that the system image, the rendering software image, and the rendering plug-in image can be stored separately and used in combination according to needs, thereby improving the flexibility of using image files and reducing the space occupied by image files while meeting the needs.

As a specific embodiment, the above-mentioned cloud rendering method can be applied to a cloud rendering platform. Figure 3 is an interactive schematic diagram of a cloud rendering platform provided in an embodiment of the present application. As shown in Figure 3, the cloud rendering platform includes a cloud rendering console, a cloud rendering service platform and a cloud management platform, wherein the cloud rendering console is used to receive a rendering request, and the rendering request carries rendering materials and rendering parameters; the cloud rendering service platform is used to parse the rendering materials and create a rendering task, and the cloud management platform is used to obtain an image file corresponding to the rendering parameters based on a preset image file library, and the image file includes a system image, a rendering software image and a rendering plug-in image, and creates a target virtual machine based on the image file; the cloud rendering service platform is used to render the rendering material based on the target virtual machine.

Figure 4 is a third flowchart of a cloud rendering method provided in an embodiment of the present application. As shown in Figure 4, first, the user logs in to the cloud rendering console. Figure 5 is one of the interface display diagrams provided in an embodiment of the present application. As shown in Figure 5, the user uploads the rendering material. After the material is uploaded, click the Submit button and select the main project file in the uploaded file.

FIG6 is a second interface display schematic diagram provided by an embodiment of the present application. As shown in FIG6 , the user edits the configuration parameters, and reads the rendering software version information and plug-in information from the database according to the rendering software selected by the user. The user selects the corresponding rendering software and plug-in information according to the production information of the material. After the user selects the rendering software, the image unique identifier corresponding to the rendering software is used to perform an associated query in the image entry information table. The query rule is to use the image unique identifier as the parent image unique identifier, query all rendering plug-in information and display all the queried rendering plug-in information. The user selects the plug-in according to the rendering plug-in used in the actual production; if the version image corresponding to the current rendering software and plug-in does not exist, the user can select other versions; if the rendering plug-in information does not exist in the displayed plug-in information list, the user can also submit a customized rendering plug-in requirement, and the subsequent cloud rendering service platform will produce the corresponding rendering plug-in image according to the user's requirements;

The cloud rendering service platform analyzes the rendering material. If the material analysis indicates that there is no error, it creates a rendering task and initiates a request to create a virtual machine. It notifies the cloud management platform of the name information of the rendering plug-in and rendering software required for this virtual machine.

Based on the received information, the cloud management platform applies for the physical resources required to create the virtual machine, including CPU, memory, storage, etc. At the same time, it queries the data in the image entry information table based on the rendering software and rendering plug-in name information submitted by the cloud rendering service platform. For example, if the rendering plug-in selected by the user is Mtoa 4.2.3, the corresponding rendering plug-in detailed information in the image entry information table is queried according to the rendering plug-in name, and the location of the corresponding image, the image file name, and the parent image ID are queried. Then, the parent image information is queried according to the parent image ID until the queried parent image ID is 0, and the image information is recorded in sequence;

The cloud management platform creates a virtual machine and loads the queried image files into the memory in a parent-child relationship. That is, the parent image file is loaded first, and then the child image file is loaded to complete the creation of the virtual machine. After the virtual machine is started, the task control software registers with the cloud rendering service platform.

The cloud rendering service platform assigns rendering tasks to the task control software, and the virtual machine executes the rendering tasks and notifies the cloud rendering service platform after completing the tasks;

After all rendering tasks are completed, the cloud rendering service platform notifies the cloud management platform to deregister the virtual machine.

Referring to FIG. 7 , FIG. 7 is a schematic diagram of the structure of a cloud rendering platform provided in an embodiment of the present application. As shown in FIG. 7 , the cloud rendering platform 700 includes:

The cloud rendering console 701 is used to receive a rendering request, where the rendering request carries rendering materials and rendering parameters;

The cloud management platform 702 is used to obtain an image file corresponding to the rendering parameters based on a preset image file library, wherein the image file includes a system image, a rendering software image, and a rendering plug-in image;

The cloud management platform 702 is further used to create a target virtual machine based on the image file;

The cloud rendering service platform 703 is used to render the rendering material based on the target virtual machine.

Optionally, the cloud rendering platform 700 further includes:

A first generating module, used to generate the system image corresponding to a preset operating system;

A second generating module, configured to create a first virtual machine based on the system image, and generate the rendering software image corresponding to the preset rendering software based on the first virtual machine;

The third generation module is used to create a second virtual machine based on the rendering software image, and generate the rendering plug-in image corresponding to the preset rendering plug-in based on the second virtual machine.

Optionally, the cloud rendering platform 700 further includes:

The first storage module is used to store the system image, the rendering software image and the rendering plug-in image in the image file library.

Optionally, the cloud management platform 702 includes:

an acquiring unit, configured to acquire the image file corresponding to the rendering parameter from the image file library when the image file corresponding to the rendering parameter is stored in the image file library;

The generating unit is configured to generate an image file corresponding to the rendering parameter when the image file corresponding to the rendering parameter is not stored in the image file library.

Optionally, the cloud rendering platform 700 further includes:

A second storage module is used to store the correspondence between the first identification information and the first location information corresponding to the system image, the correspondence between the second identification information and the second location information corresponding to the rendering software image, and the correspondence between the third identification information and the third location information corresponding to the rendering plug-in image;

The second identification information includes a first parent image identification of the rendering software image, where the first parent image identification is used to identify a system image corresponding to the rendering software image;

The third identification information includes a second parent image identifier of the rendering plug-in image, where the second parent image identifier is used to identify the rendering plug-in image corresponding to the rendering plug-in image.

Optionally, the second generating module includes:

A first installation unit, configured to install preset rendering software in the first virtual machine;

A first exporting unit, configured to export the newly added storage data in the first virtual machine to obtain the rendering software image;

The third generation module comprises:

A second installation unit, configured to install a preset rendering plug-in in the second virtual machine;

The second exporting unit is used to export the newly added storage data in the second virtual machine to obtain the rendering plug-in image.

Specifically, as shown in FIG. 8 , an embodiment of the present application further provides an electronic device, including a bus 801 , a transceiver 802 , an antenna 803 , a bus interface 804 , a processor 805 , and a memory 806 .

The transceiver 802 is used to receive a rendering request, where the rendering request carries rendering material and rendering parameters;

Further, the processor 805 is used to obtain an image file corresponding to the rendering parameter based on a preset image file library, wherein the image file includes a system image, a rendering software image, and a rendering plug-in image;

The method is used to create a target virtual machine based on the image file, and render the rendering material based on the target virtual machine.

In FIG8 , a bus architecture (represented by bus 801) is shown, and bus 801 may include any number of interconnected buses and bridges, and bus 801 links various circuits including one or more processors represented by processor 805 and memory represented by memory 806. Bus 801 may also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. Bus interface 804 provides an interface between bus 801 and transceiver 802. Transceiver 802 may be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. Data processed by processor 805 is transmitted on a wireless medium via antenna 803, and further, antenna 803 also receives data and transmits the data to processor 805.

The processor 805 is responsible for managing the bus 801 and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management and other control functions. The memory 806 can be used to store data used by the processor 805 when performing operations.

Optionally, the processor 805 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or a complex programmable logic device (CPLD).

Optionally, the processor 805 is further configured to:

Generate the system image corresponding to the preset operating system;

Creating a first virtual machine based on the system image, and generating the rendering software image corresponding to the preset rendering software based on the first virtual machine;

A second virtual machine is created based on the rendering software image, and the rendering plug-in image corresponding to the preset rendering plug-in is generated based on the second virtual machine.

Optionally, the processor 805 is further configured to:

The system image, the rendering software image and the rendering plug-in image are stored in the image file library.

Optionally, the processor 805 is specifically configured to:

In a case where the image file corresponding to the rendering parameter is stored in the image file library, acquiring the image file corresponding to the rendering parameter from the image file library;

In a case where the image file corresponding to the rendering parameter is not stored in the image file library, an image file corresponding to the rendering parameter is generated.

Optionally, the processor 805 is further configured to:

storing a correspondence between the first identification information and the first location information corresponding to the system image, a correspondence between the second identification information and the second location information corresponding to the rendering software image, and a correspondence between the third identification information and the third location information corresponding to the rendering plug-in image;

The second identification information includes a first parent image identification of the rendering software image, where the first parent image identification is used to identify a system image corresponding to the rendering software image;

The third identification information includes a second parent image identifier of the rendering plug-in image, where the second parent image identifier is used to identify the rendering plug-in image corresponding to the rendering plug-in image.

Optionally, the processor 805 is specifically configured to:

Installing preset rendering software in the first virtual machine;

Exporting the newly added storage data in the first virtual machine to obtain the rendering software image;

The processor 805 is specifically used for:

Installing a preset rendering plug-in in the second virtual machine;

The newly added storage data in the second virtual machine is exported to obtain the rendering plug-in image.

An embodiment of the present application also provides an electronic device, including: a processor, a memory, and a program stored in the memory and executable on the processor. When the program is executed by the processor, the various processes of the above-mentioned cloud rendering method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

The embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, each process of the above-mentioned cloud rendering method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. The computer-readable storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

The embodiment of the present application also provides a computer program product, including computer instructions. When the computer instructions are executed by a processor, the various processes of the above-mentioned cloud rendering method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, they are not repeated here.

It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.

The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims (10)

1. A cloud rendering method, comprising: Receive a rendering request, wherein the rendering request carries rendering material and rendering parameters; Based on a preset image file library, an image file corresponding to the rendering parameter is obtained, wherein the image file includes a system image, a rendering software image, and a rendering plug-in image; A target virtual machine is created based on the image file, and the rendering material is rendered based on the target virtual machine. 2. The method according to claim 1, characterized in that before acquiring the image file corresponding to the rendering parameters based on the preset image file library, the method further comprises: Generate the system image corresponding to the preset operating system; Creating a first virtual machine based on the system image, and generating the rendering software image corresponding to the preset rendering software based on the first virtual machine; A second virtual machine is created based on the rendering software image, and the rendering plug-in image corresponding to the preset rendering plug-in is generated based on the second virtual machine. 3. The method according to claim 2, characterized in that after generating the rendering plug-in image corresponding to the preset rendering plug-in based on the second virtual machine, the method further comprises: The system image, the rendering software image and the rendering plug-in image are stored in the image file library. 4. The method according to claim 1, wherein obtaining the image file corresponding to the rendering parameter based on a preset image file library comprises: In a case where the image file corresponding to the rendering parameter is stored in the image file library, acquiring the image file corresponding to the rendering parameter from the image file library; In a case where the image file corresponding to the rendering parameter is not stored in the image file library, an image file corresponding to the rendering parameter is generated. 5. The method according to claim 3, characterized in that after storing the system image, the rendering software image and the rendering plug-in image in the image file library, the method further comprises: storing a correspondence between the first identification information and the first location information corresponding to the system image, a correspondence between the second identification information and the second location information corresponding to the rendering software image, and a correspondence between the third identification information and the third location information corresponding to the rendering plug-in image; The second identification information includes a first parent image identification of the rendering software image, where the first parent image identification is used to identify a system image corresponding to the rendering software image; The third identification information includes a second parent image identifier of the rendering plug-in image, where the second parent image identifier is used to identify the rendering plug-in image corresponding to the rendering plug-in image. 6. The method according to claim 2, wherein generating the rendering software image corresponding to the preset rendering software based on the first virtual machine comprises: Installing preset rendering software in the first virtual machine; Exporting the newly added storage data in the first virtual machine to obtain the rendering software image; The generating the rendering plug-in image corresponding to the preset rendering plug-in based on the second virtual machine includes: Installing a preset rendering plug-in in the second virtual machine; The newly added storage data in the second virtual machine is exported to obtain the rendering plug-in image. 7. A cloud rendering platform, comprising: The cloud rendering console is used to receive a rendering request, wherein the rendering request carries rendering materials and rendering parameters; A cloud management platform, for acquiring an image file corresponding to the rendering parameters based on a preset image file library, wherein the image file includes a system image, a rendering software image, and a rendering plug-in image; The cloud management platform is further used to create a target virtual machine based on the image file; The cloud rendering service platform is used to render the rendering material based on the target virtual machine. 8. An electronic device, characterized in that it comprises: a processor, a memory, and a program stored in the memory and executable on the processor, wherein when the program is executed by the processor, the steps of the cloud rendering method according to any one of claims 1 to 6 are implemented. 9. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the cloud rendering method according to any one of claims 1 to 6 are implemented. 10. A computer program product, comprising computer instructions, which, when executed by a processor, implement the steps of the cloud rendering method according to any one of claims 1 to 6.