WO2021043128A1

WO2021043128A1 - Particle calculation method and apparatus, electronic device, and computer readable storage medium

Info

Publication number: WO2021043128A1
Application number: PCT/CN2020/112840
Authority: WO
Inventors: 朱旭光; 林顺
Original assignee: 厦门雅基软件有限公司
Priority date: 2019-09-03
Filing date: 2020-09-01
Publication date: 2021-03-11
Also published as: CN111815749A

Abstract

Embodiments of the present application provide a particle calculation method and apparatus, an electronic device, and a computer readable storage medium. The method comprises: receiving initial attribute parameters and attribute functions, inputted by a user, of particles, the attribute functions corresponding to the initial attribute parameters; sending the initial attribute parameters and attribute functions to a graphics processing unit; and during particle playback, calculating, by the graphics processing unit according to the initial attribute parameters, the attribute functions, and particle playback time, real-time attribute parameters corresponding to the particle playback time. The particle calculation method disclosed in the embodiments of the present application may be applicable to low-version graphics APIs.

Description

Particle calculation method, device, electronic equipment and computer readable storage medium

Cross-references to related applications

This disclosure claims the priority of Chinese Patent Application No. 201910828698.9 filed with the China Intellectual Property Office on September 3, 2019, entitled "Particle Computing Method, Apparatus, Electronic Equipment, and Computer Readable Storage Medium", and this Chinese patent application is incorporated by reference. The entire disclosure of the patent application is incorporated herein.

Technical field

This application relates to the field of particle computing technology. Specifically, this application relates to a particle computing method, device, electronic device, and computer-readable storage medium.

Background technique

The particle system is a graphic generation algorithm that effectively simulates irregular fuzzy objects. It uses a unified pattern to generate natural phenomena with irregular shapes such as clouds, smoke, fire, and water. In the particle system, the scene is defined as being composed of thousands of irregular and randomly distributed particles. The particle system can simulate the motion of uncertain objects, so it has a wide range of applications in the current three-dimensional simulation scenes.

However, the current particle calculation generally uses the graphics processing unit (GPU) to calculate the current state of the particle and then writes it to the floating-point texture, and writes the data in the floating-point texture back to the central processing unit (CPU), but this This calculation method is only applicable to the higher version of the graphics application programming interface (API). The lower version of the graphics API does not support the writing of GPU data back to the CPU. Therefore, it is necessary to provide a particle calculation that can be applied to the lower version of the graphics API. method.

Summary of the invention

The purpose of this application is to at least solve one of the above-mentioned technical defects, especially the technical defect of low particle calculation efficiency.

According to a first aspect of the embodiments of the present disclosure, there is provided a particle calculation method, the method including:

Receive the initial attribute parameters and attribute functions of the particles input by the user, and the attribute functions correspond to the initial attribute parameters;

Send initial attribute parameters and attribute functions to the graphics processor; and

When the particles are playing, the graphics processor calculates the real-time attribute parameters corresponding to the particle playing time according to the initial attribute parameters, the attribute function, and the particle playing time.

In the embodiment, sending the initial attribute parameter and the attribute function to the graphics processor includes:

Convert the velocity function in the attribute function input by the user into a displacement function; and

Send the initial attribute parameters, displacement function, and other attribute functions except the velocity function to the graphics processor.

In an embodiment, converting the velocity function in the attribute function input by the user into a displacement function includes:

Integrate the velocity function input by the user with respect to time to obtain the displacement function.

In an embodiment, the initial attribute parameters include an initial position parameter, an initial rotation parameter, an initial size, and an initial color parameter; the attribute function sent to the graphics processor includes a displacement function, a rotation function, a size function, and a color function;

According to the initial attribute parameters, attribute functions, and particle playback time, the real-time attribute parameters corresponding to the particle playback time are calculated including:

Calculate the real-time position of the particle according to the initial position parameter and displacement function;

Calculate the real-time rotation parameters of the particles according to the initial rotation parameters and the rotation function;

Calculate the real-time size of the particles based on the initial size and size function; and

Calculate the real-time color parameters of the particles according to the initial color parameters and the color function.

According to a second aspect of the embodiments of the present disclosure, there is provided a particle calculation method, the method including:

Receive the initial attribute parameters and attribute functions of the particles sent by the central processing unit, the attribute functions corresponding to the initial attribute parameters; and

During particle playback, real-time attribute parameters corresponding to the particle playback time are calculated according to the initial attribute parameters, the attribute function, and the particle playback time.

In an embodiment, the initial attribute parameters include an initial position parameter, an initial rotation parameter, an initial size, and an initial color parameter; the attribute function includes a displacement function, a rotation function, a size function, and a color function;

In the embodiment, the displacement function is obtained by converting the velocity function received by the central processing unit with respect to the time integral.

According to a third aspect of the embodiments of the present disclosure, there is provided a particle calculation method, which includes:

The central processor receives the initial attribute parameters and attribute functions of the particles input by the user, and the attribute functions correspond to the initial attribute parameters;

The central processor sends the initial attribute parameters and attribute functions to the graphics processor;

According to a fourth aspect of the embodiments of the present disclosure, there is provided a particle computing device, which includes:

The first receiving module is configured to receive the initial attribute parameter and attribute function of the particle input by the user; the attribute function corresponds to the initial attribute parameter; and

The first calculation module is configured to send the initial attribute parameters and attribute functions to the graphics processor, so that the graphics processor calculates real-time attributes corresponding to the particle playback time according to the initial attribute parameters, attribute functions, and particle playback time during particle playback parameter.

In an embodiment, the first calculation module is further configured to, when sending the initial attribute parameters and attribute functions to the graphics processor:

The initial attribute parameters, displacement function, and other attribute functions except the velocity function are sent to the graphics processor.

In an embodiment, the first calculation module is further configured to convert the velocity function in the attribute function input by the user into a displacement function:

The first calculation module is also configured to enable the graphics processor to calculate the real-time attribute parameters corresponding to the particle playback time according to the initial attribute parameters, the attribute function, and the particle playback time:

Calculate the real-time position of particles according to the initial position parameters and displacement function through the graphics processor;

According to a fifth aspect of the embodiments of the present disclosure, there is provided a particle computing device, which includes:

The second receiving module is configured to receive the initial attribute parameters and attribute functions of the particles sent by the central processing unit, and the attribute functions correspond to the initial attribute parameters; and

The second calculation module is configured to calculate the real-time attribute parameter corresponding to the particle playing time according to the initial attribute parameter, the attribute function, and the particle playing time when the particle is playing.

The second calculation module is also configured to calculate the real-time attribute parameter corresponding to the particle playing time according to the initial attribute parameter, the attribute function, and the particle playing time:

In the embodiment, the displacement function is obtained based on the integration of the velocity function received by the central processing unit with respect to time.

According to a sixth aspect of the embodiments of the present disclosure, there is provided an electronic device, the electronic device including:

One or more processors; and

The memory is configured to store one or more application programs;

Wherein, the one or more application programs are configured to execute the particle calculation method shown in the first aspect of the present application when being executed by one or more processors.

According to a seventh aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, and a computer program is stored on the computer-readable storage medium, wherein the program is configured to be executed by a processor to implement the method shown in the first aspect of the present application The particle calculation method.

The technical solution provided by this application brings at least the following beneficial effects:

In the solution of the embodiment of the present disclosure, the initial attribute parameters and attribute functions of the particles input by the user are received through the central processing unit, and the attribute functions correspond to the initial attribute parameters, and then the central processing unit sends the initial attribute parameters and attribute functions to the graphics processing unit. In the processor, the graphics processor calculates the real-time attribute parameters corresponding to the particle playback time according to the initial attribute parameters, attribute functions, and particle playback time during particle playback. The central processor directly sends the initial attribute parameters and attribute functions to the graphics processor. The graphics processor does not need to write the data back to the central processing unit after the calculation is completed, and it can be applied to the lower version of the graphics API.

In addition, there is no need to set up other processors in the calculation process, which can save storage space; more complex calculations are performed by the graphics processor, which can improve the efficiency of particle calculation.

Moreover, the central processing unit converts the velocity function in the attribute function input by the user into a displacement function, and then sends the initial attribute parameter, the displacement function and other attribute functions except the velocity function to the graphics processor, and the graphics processor performs calculations. The central processing unit and the graphics processor carry out the division of labor and cooperation, and the graphics processor performs complex calculations, which can further improve the efficiency of particle calculation.

The additional aspects and advantages of the present application will be partly given in the following description, which will become obvious from the following description, or be understood through the practice of the present application.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings that need to be used in the description of the embodiments of the present application.

FIG. 1 is a schematic flowchart of a particle calculation method according to an embodiment of the present application;

FIG. 2 is a schematic flowchart of a particle calculation method according to an embodiment of the present application;

FIG. 3 is a schematic flowchart of a particle calculation method according to an embodiment of the present application;

4 is a schematic flowchart of a particle calculation method according to an embodiment of the present application;

Fig. 5 is a schematic structural diagram of a particle computing device according to an embodiment of the present application;

Fig. 6 is a schematic structural diagram of a particle computing device according to an embodiment of the present application;

Fig. 7 is a schematic structural diagram of a particle computing device according to an embodiment of the present application;

Fig. 8 is a schematic structural diagram of an electronic device for particle computing according to an embodiment of the present application.

detailed description

The embodiments of the present application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals indicate the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the drawings are exemplary, and are only used to explain the present application, and cannot be construed as limiting the present invention.

Those skilled in the art can understand that, unless specifically stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of this application refers to the presence of the described features, integers, steps, operations, elements and/or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and/or groups of them. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element, or intervening elements may also be present. In addition, “connected” or “coupled” used herein may include wireless connection or wireless coupling. The term "and/or" as used herein includes all or any unit and all combinations of one or more of the associated listed items.

In order to make the objectives, technical solutions, and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below with reference to the accompanying drawings.

In order to better describe the solutions of the embodiments of the present disclosure, the following first introduces and explains related technical terms involved in the embodiments of the present disclosure:

The central processing unit (CPU) is one of the main equipment of an electronic computer and the core component of the computer. Its function is mainly to interpret computer instructions and process data in computer software. The CPU is the core component of the computer that is responsible for reading instructions, decoding and executing instructions.

The graphics processing unit (GPU) is the processor of the graphics card, similar to the CPU, except that the GPU is designed to perform complex mathematical and geometric calculations, which are necessary for graphics rendering.

The particle computing method, device, electronic device, and computer-readable storage medium provided in this application are intended to solve the above technical problems in the prior art.

The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

An embodiment of the present application provides a particle calculation method. As shown in FIG. 1, the method may include the following steps.

Step S101: Receive initial attribute parameters and attribute functions of particles input by the user, where the attribute functions correspond to the initial attribute parameters.

Among them, the initial attribute parameter of the particle can include the initial position parameter, and the corresponding attribute function can be a velocity function or a displacement function; the initial attribute parameter can also include an initial rotation parameter, for example, angular velocity, and the corresponding attribute function can be a rotation function; the initial attribute The parameter may also include the initial size, that is, the initial size of the particle, and the corresponding attribute function may be a size function; the initial attribute parameter may also include an initial color parameter, and the corresponding attribute function may be a color function.

In the specific implementation process, users can input initial attribute parameters and corresponding attribute functions into the central processing unit by themselves; they can also pre-store various attribute parameters and various attribute functions in the terminal or server, and users can choose from the pre-stored attribute parameters and attributes. Select the initial attribute parameter and corresponding attribute function for calculation in the function.

Step S102: Send the initial attribute parameter and the attribute function to the graphics processor, so that the graphics processor calculates the real-time attribute parameter corresponding to the particle playback time according to the initial attribute parameter, the attribute function, and the particle playback time during particle playback.

Wherein, when the particle is playing, that is, when the particle is moving, the playing time of the particle may be the time that the particle has moved after switching from the static state to the moving state.

In the specific implementation process, the central processing unit can directly send the initial attribute parameters and attribute functions to the graphics processor, and calculate through the graphics processor during particle playback; the central processing unit can also process the attribute functions first, and then process The latter attribute function is sent to the graphics processor, and the particles are calculated by the graphics processor when the particles are played.

Specifically, the real-time position of the particle is calculated according to the initial position parameter, velocity function, and particle playback time of the particle, or the initial position parameter, displacement function, and particle playback time of the particle; the particle is calculated according to the initial rotation parameter, rotation function, and particle playback time The real-time rotation parameters of the particles; the real-time size parameters of the particles are calculated according to the initial size, the size function and the particle playback time; the real-time color parameters of the particles are calculated according to the initial color parameters, the color function and the particle playback time.

In the above-mentioned embodiment, the initial attribute parameters and attribute functions of the particles input by the user are received by the central processing unit. The attribute functions correspond to the initial attribute parameters, and then the central processing unit sends the initial attribute parameters and attribute functions to the graphics processor. The graphics processor calculates the real-time attribute parameters corresponding to the particle playback time according to the initial attribute parameters, attribute functions, and particle playback time during particle playback. The central processor directly sends the initial attribute parameters and attribute functions to the graphics processor, and the graphics processor calculates After completion, there is no need to write the data back to the central processor, which can be applied to low-level graphics APIs; and the calculation process does not need to set up other processors, which can save storage space; the graphics processor performs more complex calculations, which can improve the efficiency of particle calculations .

The embodiment of the present application provides a possible implementation manner. The sending of the initial attribute parameter and the attribute function to the graphics processor in step S102 may include:

(1) Convert the velocity function in the attribute function input by the user into a displacement function.

In this step, the user can directly input the velocity function, that is, the change curve of the particle motion velocity with time, and the central processing unit can convert the velocity function to obtain the displacement function.

In the specific implementation process, the velocity function input by the user is integrated with respect to time to obtain the displacement function.

(2) Send the initial attribute parameter, displacement function, and other attribute functions except the velocity function to the graphics processor.

Specifically, the central processing unit can recognize whether the attribute function input by the user is a velocity function or a displacement function. If it is recognized as a velocity function, the velocity function is converted; if it is recognized as a displacement function, the displacement function and other attribute functions are directly Send to the graphics processor.

According to the embodiment of the present application, the initial attribute parameters may include initial position parameters, initial rotation parameters, initial size, and initial color parameters; the attribute functions sent to the graphics processor may include displacement functions, rotation functions, size functions, and color functions. The calculation of the real-time attribute parameter corresponding to the particle playback time according to the initial attribute parameter, the attribute function, and the particle playback time in step S102 may include:

(1) Calculate the real-time position of particles according to the initial position parameters and displacement function;

(2) Calculate the real-time rotation parameters of the particles according to the initial rotation parameters and the rotation function;

(3) Calculate the real-time size of particles according to the initial size and size function; and

(4) Calculate the real-time color parameters of the particles according to the initial color parameters and the color function.

Taking the calculation of the real-time position of particles as an example, the following formula can be used for calculation:

Where S(t) is the real-time position of the particle, S _origin is the initial position of the particle, v(t) is the velocity function of the particle,

Is the displacement function of the particle.

In the above particle calculation method, the initial attribute parameters and attribute functions of the particles input by the user are received by the central processing unit. The attribute functions correspond to the initial attribute parameters, and then the central processing unit sends the initial attribute parameters and attribute functions to the graphics processor. The graphics processor calculates the real-time attribute parameters corresponding to the particle playback time according to the initial attribute parameters, attribute functions, and particle playback time during particle playback. The central processor directly sends the initial attribute parameters and attribute functions to the graphics processor and graphics processor. After the calculation is completed, there is no need to write the data back to the central processing unit, which can be applied to low-level graphics APIs.

Furthermore, there is no need to set up other processors in the calculation process, which can save storage space; the more complex calculations performed by the graphics processor can improve the efficiency of particle calculation.

Further, the central processing unit converts the velocity function in the attribute function input by the user into a displacement function, and then sends the initial attribute parameter, the displacement function, and other attribute functions except the velocity function to the graphics processor, and the graphics processor For calculations, the central processing unit and the graphics processor perform division of labor and coordination, and the graphics processor performs complex calculations, which can further improve the efficiency of particle calculations.

This embodiment also provides a particle calculation method. As shown in FIG. 2, the method may include the following steps.

Step S201: Receive the initial attribute parameter and attribute function of the particle sent by the central processing unit, where the attribute function corresponds to the initial attribute parameter.

Among them, the initial attribute parameter of the particle may include an initial position parameter, and the corresponding attribute function may be a velocity function or a displacement function; the initial attribute parameter may also include an initial rotation parameter, for example, angular velocity, and the corresponding attribute function may be a rotation function; The parameter may also include the initial size, that is, the initial size of the particle, and the corresponding attribute function may be a size function; the initial attribute parameter may also include an initial color parameter, and the corresponding attribute function may be a color function.

Step S202: Calculate real-time attribute parameters corresponding to the particle playing time according to the initial attribute parameter, the attribute function, and the particle playing time during particle playing.

According to the embodiment of the present application, the initial attribute parameters may include initial position parameters, initial rotation parameters, initial size, and initial color parameters; the attribute functions include displacement function, rotation function, size function, and color function; in step S202, according to the initial attribute parameters , Attribute function and particle playback time calculation The real-time attribute parameters corresponding to the particle playback time can include:

According to the embodiment of the present application, the displacement function is obtained by transforming the speed function received by the central processing unit with respect to the time integral.

Is the displacement function of the particle.

This embodiment also provides a particle calculation method. As shown in FIG. 3, the method may include the following steps.

Step S301, the central processor receives the initial attribute parameter and attribute function of the particle input by the user; the attribute function corresponds to the initial attribute parameter.

In step S302, the central processor sends the initial attribute parameters and attribute functions to the graphics processor.

In the specific implementation process, the central processing unit can directly send the initial attribute parameters and attribute functions to the graphics processor, and the graphics processor performs calculations during particle playback; the central processing unit can also process the attribute functions first, and then process The latter attribute function is sent to the graphics processor, and the particle calculation is performed by the graphics processor during particle playback.

Specifically, the central processing unit can also recognize whether the attribute function input by the user is a velocity function or a displacement function. If it is recognized as a velocity function, the velocity function is converted; if it is recognized as a displacement function, the displacement function and other attribute functions are converted. Send directly to the graphics processor.

In step S303, the graphics processor calculates the real-time attribute parameter corresponding to the particle playback time according to the initial attribute parameter, the attribute function, and the particle playback time during particle playback.

In the above particle calculation method, the initial attribute parameters and attribute functions of the particles input by the user are received by the central processing unit. The attribute functions correspond to the initial attribute parameters, and then the central processing unit sends the initial attribute parameters and attribute functions to the graphics processor. The graphics processor calculates the real-time attribute parameters corresponding to the particle playback time according to the initial attribute parameters, attribute functions, and particle playback time during particle playback. The central processor directly sends the initial attribute parameters and attribute functions to the graphics processor and graphics processor. After the calculation is completed, there is no need to write the data back to the central processing unit, which can be applied to low-level graphics APIs, and no other processors need to be set up during the calculation process, which can save storage space; the graphics processor performs more complex calculations, which can improve particles Computational efficiency.

In order to better understand the above particle calculation method, as shown in Figure 4, an example of the particle calculation of this application is described in detail below:

In an example, the particle calculation method provided in this application may include the following steps:

Step S401, the central processor receives the initial attribute parameter and attribute function of the particle input by the user, and the attribute function corresponds to the initial attribute parameter;

Step S402, the central processing unit converts the velocity function in the received attribute function into a displacement function;

Step S403, the central processor sends the initial attribute parameter, the displacement function and other attribute functions except the speed function to the graphics processor;

Step S404, the graphics processor calculates the real-time position of the particle according to the initial position parameter and the displacement function;

Step S405, the graphics processor calculates the real-time rotation parameters of the particles according to the initial rotation parameters and the rotation function;

Step S406, the graphics processor calculates the real-time size of the particle according to the initial size and the size function; and

In step S407, the graphics processor calculates the real-time color parameters of the particles according to the initial color parameters and the color function.

In the above example, the central processing unit converts the velocity function in the attribute function input by the user into a displacement function, and then sends the initial attribute parameter, the displacement function and other attribute functions except the velocity function to the graphics processor, which will be processed by the graphics The central processing unit and the graphics processor perform the calculation, the central processing unit and the graphics processor perform division of labor, and the graphics processor performs complex calculations, which can further improve the particle calculation efficiency.

The embodiment of the present application provides a particle computing device. As shown in FIG. 5, the particle computing device 50 may include: a first receiving module 501 and a first computing module 502. among them,

The first receiving module 501 is configured to receive initial attribute parameters and attribute functions of particles input by a user, and the attribute functions correspond to the initial attribute parameters;

The first calculation module 502 is configured to send initial attribute parameters and attribute functions to the graphics processor, so that the graphics processor calculates the real-time corresponding to the particle playback time according to the initial attribute parameters, attribute functions, and particle playback time during particle playback. Property parameters.

The aforementioned particle computing device receives the initial attribute parameters and attribute functions of the particles input by the user through the central processing unit. The attribute functions correspond to the initial attribute parameters, and then the central processing unit sends the initial attribute parameters and attribute functions to the graphics processor. The graphics processor calculates the real-time attribute parameters corresponding to the particle playback time according to the initial attribute parameters, attribute functions, and particle playback time during particle playback. The central processor directly sends the initial attribute parameters and attribute functions to the graphics processor and graphics processor. After the calculation is completed, there is no need to write the data back to the central processing unit, which can be applied to low-level graphics APIs, and no other processors need to be set up during the calculation process, which can save storage space; the graphics processor performs more complex calculations, which can improve particles Computational efficiency.

According to the embodiment of the present application, the first calculation module 502 is further configured to, when sending the initial attribute parameters and attribute functions to the graphics processor:

According to the embodiment of the present application, the first calculation module 502 is further configured to convert the velocity function in the attribute function input by the user into a displacement function:

According to the embodiment of the present application, the initial attribute parameter may include an initial position parameter, an initial rotation parameter, an initial size, and an initial color parameter; the attribute function sent to the graphics processor includes a displacement function, a rotation function, a size function, and a color function;

The first calculation module 502 is further configured to enable the graphics processor to calculate the real-time attribute parameter corresponding to the particle playback time according to the initial attribute parameter, the attribute function, and the particle playback time:

Make the graphics processor calculate the real-time position of the particle according to the initial position parameter and the displacement function;

The embodiment of the present application provides a particle computing device. As shown in FIG. 6, the particle computing device 60 may include: a second receiving module 601 and a second computing module 602. among them,

The second receiving module 601 is configured to receive the initial attribute parameters and attribute functions of the particles sent by the central processing unit, and the attribute functions correspond to the initial attribute parameters; and

The second calculation module 602 is configured to calculate the real-time attribute parameter corresponding to the particle playing time according to the initial attribute parameter, the attribute function, and the particle playing time when the particle is playing.

According to the embodiment of the present application, the initial attribute parameters may include initial position parameters, initial rotation parameters, initial size, and initial color parameters; the attribute functions include displacement function, rotation function, size function, and color function;

The second calculation module 602 is also configured to calculate the real-time attribute parameter corresponding to the particle playing time according to the initial attribute parameter, the attribute function, and the particle playing time:

An embodiment of the present application provides a particle computing device. As shown in FIG. 7, the particle computing device 70 may include: a third receiving module 701, a sending module 702, and a third computing module 703. among them,

The third receiving module 701 is configured to enable the central processing unit to receive the initial attribute parameters and attribute functions of the particles input by the user, and the attribute functions correspond to the initial attribute parameters;

The sending module 702 is configured to enable the central processing unit to send initial attribute parameters and attribute functions to the graphics processor; and

The third calculation module 703 is configured to enable the graphics processor to calculate the real-time attribute parameter corresponding to the particle playing time according to the initial attribute parameter, the attribute function, and the particle playing time when the particle is playing.

The particle computing device for the picture in the embodiment of the present disclosure can execute a particle computing method for the picture provided by the embodiment of the present disclosure, and the implementation principle is similar. The modules in the particle computing device for the picture in each embodiment of the present disclosure The actions performed correspond to the steps in the particle calculation method of the picture in each embodiment of the present disclosure. For the detailed function description of each module of the particle calculation device of the picture, please refer to the corresponding picture shown in the previous section. The description in the particle calculation method will not be repeated here.

Based on the same principle as the method shown in the embodiment of the present disclosure, an electronic device is also provided in the embodiment of the present disclosure. The electronic device may include, but is not limited to: a processor and a memory; and a memory for storing a computer. Operation instruction; processor, used to execute the method shown in the embodiment by invoking a computer operation instruction. Compared with the prior art, the electronic device in this application can be adapted to lower version graphics API.

In an optional embodiment, an electronic device is provided. As shown in FIG. 8, the electronic device 4000 shown in FIG. 8 includes a processor 4001 and a memory 4003. Among them, the processor 4001 and the memory 4003 are connected, such as through a bus 4002. Optionally, the electronic device 4000 may further include a transceiver 4004. It should be noted that in actual applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 does not constitute a limitation to the embodiment of the present application.

The processor 4001 may be a central processing unit (CPU), a general-purpose processor, a data signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, transistor logic devices, Hardware components or any combination thereof. It can implement or execute various exemplary logical blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor 4001 may also be a combination for realizing computing functions, for example, including a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and so on.

The bus 4002 may include a path for transferring information between the above-mentioned components. The bus 4002 may be a Peripheral Component Interconnection Standard (PCI) bus or an Extended Industry Standard Architecture (EISA) bus or the like. The bus 4002 can be divided into an address bus, a data bus, a control bus, and so on. For ease of representation, only one thick line is used in FIG. 8, but it does not mean that there is only one bus or one type of bus.

The memory 4003 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electronic device. Erasable Programmable Read-Only Memory (EEPROM), CD-ROM or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital universal discs, Blu-ray discs, etc.), magnetic disk storage media or other Magnetic storage devices, or any other media that can be used to carry or store desired program codes in the form of instructions or data structures and that can be accessed by a computer, but are not limited thereto.

The memory 4003 is used to store application program codes for executing the solution of the present application, and is controlled by the processor 4001 to execute. The processor 4001 is configured to execute the application program code stored in the memory 4003 to implement the content shown in the foregoing method embodiment.

Among them, electronic devices include but are not limited to: mobile phones, notebook computers, digital broadcast receivers, personal digital assistants (PDA), tablet computers (PAD), portable multimedia players (PMP), vehicle terminals (for example, vehicle navigation terminals) And so on mobile terminals and fixed terminals such as digital TVs, desktop computers, etc. The electronic device shown in FIG. 8 is only an example, and should not bring any limitation to the function and scope of use of the embodiments of the present disclosure.

The embodiments of the present application provide a computer-readable storage medium with a computer program stored on the computer-readable storage medium, and when it runs on a computer, the computer can execute the corresponding content in the foregoing method embodiment. Compared with the prior art, the computer-readable storage medium provided in this application can be suitable for lower version graphics APIs.

It should be understood that although the various steps in the flowchart of the drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless explicitly stated in this article, the execution of these steps is not strictly limited in order, and they can be executed in other orders. Moreover, at least part of the steps in the flowchart of the drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the order of execution is also It is not necessarily performed sequentially, but may be performed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

It should be noted that the aforementioned computer-readable medium in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or a combination of any of the above. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable removable Programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program, and the program may be used by or in combination with an instruction execution system, apparatus, or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as a part of a carrier wave, and a computer-readable program code is carried therein. This propagated data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. The computer-readable signal medium may also be any computer-readable medium other than the computer-readable storage medium. The computer-readable signal medium may send, propagate or transmit the program for use by or in combination with the instruction execution system, apparatus, or device . The program code contained on the computer-readable medium can be transmitted by any suitable medium, including but not limited to: wire, optical cable, radio frequency (RF), etc., or any suitable combination of the above.

The above-mentioned computer-readable medium may be included in the above-mentioned electronic device; or it may exist alone without being assembled into the electronic device.

The foregoing computer-readable medium carries one or more programs, and when the foregoing one or more programs are executed by the electronic device, the electronic device is caused to execute the method shown in the foregoing embodiment.

The computer program code used to perform the operations of the present disclosure may be written in one or more programming languages or a combination thereof. The above-mentioned programming languages include object-oriented programming languages—such as Java, Smalltalk, C++, and also conventional Procedural programming language-such as "C" language or similar programming language. The program code can be executed entirely on the user's computer, partly on the user's computer, executed as an independent software package, partly on the user's computer and partly executed on a remote computer, or entirely executed on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to pass Internet connection).

The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions, and operations of the system, method, and computer program product according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, program segment, or part of code, and the module, program segment, or part of code contains one or more for realizing the specified logical function Executable instructions. It should also be noted that, in some alternative implementations, the functions marked in the block may also occur in a different order from the order marked in the drawings. For example, two blocks shown in succession can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and/or flowchart, and the combination of the blocks in the block diagram and/or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations Or it can be realized by a combination of dedicated hardware and computer instructions.

The units involved in the embodiments described in the present disclosure can be implemented in software or hardware. Wherein, the name of the unit does not constitute a limitation on the unit itself under certain circumstances. For example, the first obtaining unit can also be described as "a unit for obtaining at least two Internet Protocol addresses."

The above description is only a preferred embodiment of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of disclosure involved in this disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover the above technical features or technical solutions without departing from the above disclosed concept. Other technical solutions formed by arbitrarily combining the equivalent features. For example, the above-mentioned features and the technical features disclosed in the present disclosure (but not limited to) having similar functions are replaced with each other to form a technical solution.

Claims

A particle calculation method, including:

Receiving initial attribute parameters and attribute functions of particles input by a user, where the attribute functions correspond to the initial attribute parameters;

Sending the initial attribute parameter and the attribute function to the graphics processor; and

During particle playback, the graphics processor calculates real-time attribute parameters corresponding to the particle playback time according to the initial attribute parameter, the attribute function, and the particle playback time.
The particle calculation method according to claim 1, wherein said sending said initial attribute parameter and said attribute function to a graphics processor comprises:

Converting the velocity function in the attribute function input by the user into a displacement function; and

The initial attribute parameter, the displacement function, and other attribute functions other than the velocity function are sent to the graphics processor.
The particle calculation method according to claim 2, wherein said converting the velocity function in the attribute function input by the user into a displacement function comprises:

The speed function input by the user is integrated with respect to time to obtain the displacement function.
The particle calculation method according to claim 2, wherein the initial attribute parameters include initial position parameters, initial rotation parameters, initial dimensions, and initial color parameters; the attribute function sent to the graphics processor includes the displacement function, Rotation function, size function and color function;

The calculating the real-time attribute parameter corresponding to the particle playing time according to the initial attribute parameter, the attribute function, and the particle playing time includes:

Calculating the real-time position of the particle according to the initial position parameter and the displacement function;

Calculating the real-time rotation parameter of the particle according to the initial rotation parameter and the rotation function;

Calculating the real-time size of the particles according to the initial size and the size function; and

The real-time color parameters of the particles are calculated according to the initial color parameters and the color function.
A particle calculation method, including:

Receiving initial attribute parameters and attribute functions of the particles sent by the central processing unit, where the attribute functions correspond to the initial attribute parameters; and

During particle playback, real-time attribute parameters corresponding to the particle playback time are calculated according to the initial attribute parameter, the attribute function, and the particle playback time.
The particle calculation method according to claim 5, wherein the initial attribute parameters include initial position parameters, initial rotation parameters, initial size, and initial color parameters; and the attribute functions include displacement function, rotation function, size function, and color function ；

The calculating the real-time attribute parameter corresponding to the particle playing time according to the initial attribute parameter, the attribute function, and the particle playing time includes:

Calculating the real-time position of the particle according to the initial position parameter and the displacement function;

Calculating the real-time rotation parameter of the particle according to the initial rotation parameter and the rotation function;

Calculating the real-time size of the particles according to the initial size and the size function; and

The real-time color parameters of the particles are calculated according to the initial color parameters and the color function.
8. The particle calculation method according to claim 6, wherein the displacement function is obtained by converting the velocity function received by the central processing unit with respect to time integral.
A particle calculation method, including:

The central processor receives the initial attribute parameters and attribute functions of the particles input by the user, and the attribute functions correspond to the initial attribute parameters;

Sending the initial attribute parameter and the attribute function to the graphics processor by the central processing unit; and

During particle playback, the graphics processor calculates real-time attribute parameters corresponding to the particle playback time according to the initial attribute parameter, the attribute function, and the particle playback time.
A particle computing device, including:

The first receiving module is configured to receive the initial attribute parameters and attribute functions of the particles input by the user, the attribute functions corresponding to the initial attribute parameters; and

The first calculation module is configured to send the initial attribute parameter and the attribute function to the graphics processor, so that when the particle is played, the graphics processor will play according to the initial attribute parameter, the attribute function, and the particle playback. Time calculation of real-time attribute parameters corresponding to the particle playing time.
A particle computing device, including:

The second receiving module is configured to receive the initial attribute parameter and attribute function of the particle sent by the central processing unit, the attribute function corresponding to the initial attribute parameter; and

The second calculation module is configured to calculate a real-time attribute parameter corresponding to the particle playing time according to the initial attribute parameter, the attribute function, and the particle playing time during particle playing.
An electronic device including:

One or more processors;

A memory, the memory is configured to store one or more application programs;

The one or more application programs are configured to execute the particle calculation method according to any one of claims 1-8 when being executed by the one or more processors.
A computer-readable storage medium storing a computer program, wherein the program is configured to implement the particle calculation method according to any one of claims 1-8 when executed by a processor.