CN113129431A - Three-dimensional model processing method, high-speed browsing method, electronic device and storage medium - Google Patents
Three-dimensional model processing method, high-speed browsing method, electronic device and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of three-dimensional model browsing, in particular to a three-dimensional model processing method, a high-speed browsing method, electronic equipment and a storage medium, wherein the method comprises the following steps: generating a corresponding and associated FBX model according to the initial network model; compressing and generating a corresponding and associated AssetBound resource file according to the FBX model; and storing the AssetBound resource file in the server. The method and the device have the effect of overcoming the defect that the three-dimensional model browsing time is long.
Description
Technical Field
The present application relates to the field of three-dimensional model browsing technologies, and in particular, to a three-dimensional model processing method, a high-speed browsing method, an electronic device, and a storage medium.
Background
When a large-scale scene is made by using Unity, a large number of data files are often required to be loaded, especially, resources such as models, materials, chartlets, special effects and the like are indispensable parts in a project, the larger the data volume is, the slower the data loading is, the longer the waiting time of a user is, and the poorer the user experience is.
In view of the above-mentioned related art, the inventors consider that there is a drawback that the time for browsing the three-dimensional model is long.
Disclosure of Invention
In order to overcome the defect of long time for browsing a three-dimensional model, the application provides a three-dimensional model processing method, a high-speed browsing method, an electronic device and a storage medium.
The three-dimensional model processing method provided by the application adopts the following technical scheme:
the three-dimensional model processing method comprises the following steps:
generating a corresponding and associated FBX model according to the initial network model;
compressing and generating a corresponding and associated AssetBound resource file according to the FBX model;
and storing the AssetBound resource file in the server.
By adopting the technical scheme, the initial network model is converted into the FBX model, then the FBX model is packaged to form an AssetBoundle resource file on the server, the initial network model is compressed, the AssetBoundle resource file is generated, the initial data storage and reading amount of the model is reduced, and the access speed of the webpage model is accelerated.
Preferably, said step of generating a corresponding and associated FBX model from the initial network model comprises the following sub-steps:
judging the size of the initial network model;
if the initial network model is larger than a preset threshold value, forming data of the initial network model into a segmented model with a plurality of segments sorted according to a preset rule;
generating corresponding and associated FBX models according to the segmented models, and storing a preset rule sequence in the corresponding FBX models;
and if the initial network model is smaller than the preset threshold value, generating a corresponding and associated FBX model according to the initial network model.
By adopting the technical scheme, the initial network model exceeding the threshold is divided into the segmented models according to the preset rule, and when the segmented models are converted into the FBX model by using software, the time of the segmented models occupying the software can be reduced, and the influence on the conversion process caused by the software crash can be reduced.
Preferably, the step of generating a corresponding and associated assetboudle resource file according to the FBX model compression and the step of storing the assetboudle resource file between servers further comprises the steps of:
establishing a storage address in a server according to the project and the asset type of the initial network model;
if the initial network model is larger than the threshold value, an asset folder of the initial network model is established in a corresponding storage address, and an assetboudle resource file generated by an FBX model generated by a segmented model of the initial network model is stored in the asset folder.
By adopting the technical scheme, the asset folder is stored with the asset resource file corresponding to the segmented model, so that the asset folder can be directly opened when maintenance personnel maintain the asset file in the later period.
Preferably, the step of generating a corresponding and associated AssetBoundle resource file according to FBX model compression comprises the following sub-steps:
receiving an optimization request instruction, wherein the optimization request instruction comprises a material optimization instruction, a light optimization instruction, a camera optimization instruction, a picture proportion optimization instruction and a perspective optimization instruction;
and optimizing the FBX model according to the optimization request instruction and generating a corresponding and associated asset B resource file.
By adopting the technical scheme, the FBX model can be optimized, and the functions are complete.
In a second aspect, the present application provides a three-dimensional model high-speed browsing method, which adopts the following technical scheme:
the three-dimensional model high-speed browsing method is used in cooperation with any one of the methods, and comprises the following steps of:
receiving a model preview request;
and loading the AssetPlay resource file corresponding to the model preview request to a sender of the model preview request.
By adopting the technical scheme, after the model preview request is received, the AssetBound resource file corresponding to the model preview request is loaded to the sender, so that the effect of conveniently browsing the three-dimensional model is achieved.
Preferably, after the step of receiving the model preview request, the method further includes the following steps:
if the initial network model of the asset folder corresponding to the model preview request is larger than the threshold value, reading the asset folder resource files according to a preset rule sequence, and temporarily storing the asset folder asset resource files in a buffer area;
and after the AssetBound resource file is read, integrating the AssetBound resource file according to a preset rule sequence and loading the AssetBound resource file to a sender of the model preview request.
By adopting the technical scheme, the AssetBound resource files corresponding to the segmented model are cached in the buffer area, and are loaded to the sender, namely the terminal equipment of the user after being integrated, so that the user can check the resource files, and the effect of reducing the condition that the checking model of the user is incomplete due to network reasons is achieved.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes any of the methods of three-dimensional model processing as described above.
In a fourth aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the three-dimensional model high-speed browsing method.
In a fifth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium storing a computer program that can be loaded by a processor and executes any one of the aforementioned three-dimensional model processing methods.
In a sixth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium storing a computer program capable of being loaded by a processor and executing the three-dimensional model high-speed browsing method as described above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. converting the initial network model into an FBX model, then packaging the FBX model to form an AssetBoundle resource file on a server, compressing the initial network model and generating an AssetBoundle resource file, reducing the initial data storage and reading capacity of the model and accelerating the access speed of the webpage model;
2. the initial network model is imported and generated into the FBX model through the preset script, the initial network model is converted into the FBX model without manual operation, and the method has the effects of automatic operation and reduction of manual waste;
3. and dividing the initial network model exceeding the threshold value according to a preset rule to form a segmented model, and reducing the time of the segmented model occupying software and the influence on the conversion process caused by software crash when the segmented model is converted by using software to generate the FBX model.
Drawings
FIG. 1 is a block diagram of a three-dimensional model high-speed browsing method according to an embodiment of the present application;
FIG. 2 is a block diagram of a three-dimensional model high-speed browsing method according to another embodiment of the present application;
FIG. 3 is a block diagram of a three-dimensional model high-speed browsing method according to another embodiment of the present application;
FIG. 4 is a block diagram of a three-dimensional model high-speed browsing method according to another embodiment of the present application;
fig. 5 is a block diagram of a three-dimensional model high-speed browsing method according to another embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to fig. 1-5 and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The embodiments of the present application disclose a three-dimensional model processing method, and it should be noted that the order of the method steps in the present embodiment is only used for illustrating the present embodiment, and is not used to limit other combinations of the order of the method steps in the present application.
Referring to fig. 1, the three-dimensional model processing method includes the steps of:
s1: a corresponding and associated FBX model is generated from the initial network model.
The FBX model is a general model format, supports all main three-dimensional data elements and two-dimensional, audio and video media elements, is a format developed by Autodesk and convenient to exchange for each large platform, can store light, cameras, materials and the like in a model and a scene, converts an initial network model into the FBX model, specifically can be manually converted by adopting software such as C4D, Blender, 3DMAX and the like, is associated with the FBX model when being generated, and finds the initial network model according to the association relationship by the FBX model.
An initial network model may form a plurality of associated FBX models based on the plurality of items it contains, an FBX model being associated with an initial network model.
S2: and compressing according to the FBX model to generate a corresponding and associated AssetBound resource file.
S5: and storing the AssetBound resource file in the server.
Specifically, the physical body in this embodiment includes a memory and a processor, the memory stores a program for implementing the method of this embodiment, and the processor can load and execute the program in the memory to implement the method of this embodiment. If not, the method steps in this embodiment are all programs stored in the memory, and the execution main body is the processor.
The FBX model is imported into Unity3D, the FBX model is converted by Unity3D to generate an assetboudle resource file, and specifically, when the FBX model generates the assetboudle resource file, compression is performed to reduce the storage space of the FBX model and read occupied resources, so that the time of a user for browsing the model on a webpage is reduced, and high-speed preview of the three-dimensional model is realized.
The AssetBound resource file is associated with the corresponding FBX model, the corresponding FBX model can be found from the AssetBound resource file, and one FBX model is associated with one AssetBound resource file.
The method comprises the steps of storing an AssetBound resource file in a server, connecting a client to the server, and browsing a network model corresponding to the AssetBound resource file by reading any AssetBound resource file.
Referring to fig. 2, optionally, in another embodiment, step S1 specifically includes:
s1: and generating a corresponding and associated FBX model from the initial network model through a preset conversion script.
Specifically, the initial network model is automatically imported and the FBX model without materials is exported by Maya through a preset script, so that the effect of automatically converting the initial network model into the FBX model is realized, the operation is simplified, and the format of the FBX model is not required to be converted by manual operation.
Referring to fig. 3, alternatively, in another embodiment, step S1 includes the following sub-steps:
s11: and judging the size of the initial network model.
S12: and if the initial network model is larger than the preset threshold value, forming the data of the initial network model into a segmented model with a plurality of segments sorted according to a preset rule.
S13: and generating corresponding and associated FBX models according to the segmented models, and storing a preset rule sequence in the corresponding FBX models.
S14: and if the initial network model is smaller than the preset threshold value, generating a corresponding and associated FBX model according to the initial network model.
Specifically, the size of the initial network model is determined, for example, the initial network model is 1G, the size of the preset threshold is 500M, the initial model is larger than the preset threshold, the data information of the initial network model is segmented according to a predetermined rule to form a segmented model, the preset rule is to segment the segmented model according to a certain rule, and according to the preset rule, the segmented model can be integrated to form the initial network model, specifically, the preset rule can be to segment the data of the initial network model from the head to the tail of the data according to the sequence and the preset size, and add a sequence identifier to the head of the segmented data segments according to the sequence to form the segmented model, when integrating the data, the data can be integrated according to the sequence identifier to form the initial network model, to form the segmented model, and store the segmented model according to the actual storage space distribution, to save memory space.
The segmentation model is imported into Unity3D, the segmentation model is converted into an AssetBound resource file by adopting Unity3D, the size of the segmentation model is small, the occupation time of the Unity3D resource is short, and therefore the fault tolerance of the segmentation model in the conversion process is high, and the conversion process is not easily affected greatly due to temporary breakdown of a software program.
Optionally, based on the previous embodiment, in another embodiment, a step S3 and a step S4 are further provided between step S2 and step S5:
s3: and establishing a storage address to the server according to the items of the initial network model and the asset type.
Specifically, the generated assetboundel resource file is stored in the server. And (4) placing the role c assets according to the items and the asset types, such as AAA items, to the storage address of the server/AAA/char/c.
S4: if the initial network model is larger than the threshold value, an asset folder of the initial network model is established in a corresponding storage address, and an assetboudle resource file generated by an FBX model generated by a segmented model of the initial network model is stored in the asset folder.
Specifically, if the size of the initial network model is 1G and the preset threshold is 500M, the initial network model is larger than the threshold, an asset folder, such as an asset of a role C, is established in the storage address established corresponding to the initial network model in the previous step and is stored in a server/AAA/char/C, so that a maintainer can find a resource file in time when performing asset maintenance.
Referring to fig. 5, in particular, in another embodiment, the step S2 includes the following sub-steps:
s21: and receiving an optimization request instruction, wherein the optimization request instruction specifically comprises a material optimization instruction, a light optimization instruction, a camera optimization instruction, a picture proportion optimization instruction and a perspective optimization instruction.
In the actual operation process, the optimization request instruction may be, but is not limited to, an operation performed on the physical subject used in this embodiment for an operator, for example, when the physical subject is a computer, a mouse is used to generate a trigger signal to trigger a related optimization program stored in a memory, and the FBX model is optimized, where the optimization may include a material optimization instruction, a light optimization instruction, a camera optimization instruction, a picture proportion optimization instruction, and a perspective optimization instruction, and specifically, an existing optimization method is used to optimize the FBX model.
S22: and optimizing the FBX model according to the optimization request instruction and generating a corresponding and associated asset B resource file.
The embodiment of the application also discloses a high-speed browsing method of the three-dimensional model, which is matched with the three-dimensional model processing method and comprises the following steps:
(1): a model preview request is received.
(3): and loading the AssetPlay resource file corresponding to the model preview request to a sender of the model preview request.
Specifically, in this embodiment, the sender is a terminal device of a user, the user connects to the server through the terminal device, such as a mobile phone, a computer, and the like, the terminal device of the user sends a model preview request to the server, and the model preview request is request information that a certain AssetBoundle resource file needs to be browsed.
Optionally, in another embodiment, after the step (1), the following step is further included:
(2): and if the initial network model of the asset resource file corresponding to the model preview request is larger than a preset threshold value, reading the asset resource files in the asset folder according to a preset rule sequence, and temporarily storing the asset resource files in a buffer area.
(21): and after the AssetBound resource file is read, integrating the AssetBound resource file according to a preset rule sequence and loading the AssetBound resource file to a sender of the model preview request.
In the server, a result of comparing the initial network model corresponding to the AssetBound resource file stored in the server with a preset threshold value is pre-generated and recorded, if the initial network model corresponding to the AssetBound resource file corresponding to the model preview request is larger than the threshold value, when the server loads the asset folder, the server reads the asset folder resource file in the cache area in advance, decompressing the AssetBound resource files according to the preset rule sequence, and integrating to form the AssetBound resource files of the complete model, then the AssetPlay resource file of the complete model is loaded to the terminal equipment of the user, the AssetBound resource file is reintegrated in the cache region, the condition that all parts of the model are staggered due to network errors in the loading process is reduced, and the time for integrating the loaded AssetBound resource file at the user terminal equipment is also reduced, so that the user can quickly view the three-dimensional model.
The embodiment of the application also discloses a three-dimensional model high-speed browsing system. The three-dimensional model high-speed browsing system comprises:
and the FBX model generation module is used for generating a corresponding and associated FBX model according to the initial network model.
And the AssetBound resource file generating module is used for generating a corresponding and associated AssetBound resource file according to the FBX model compression.
And the storage module is used for storing the AssetBound resource file in the server.
Optionally, in another embodiment, the FBX model generating module is configured to generate the corresponding and associated FBX model from the initial network model through a preset conversion script.
Optionally, in an embodiment, the FBX model generation module includes:
and the judging submodule is used for judging the size of the initial network model.
And the segmentation submodule is used for forming the data of the initial network model into a plurality of segments of segmentation models which are ordered according to a preset rule if the initial network model is larger than a preset threshold value.
And the first generation submodule is used for generating corresponding and associated FBX models according to the segmented models and storing a preset rule sequence to the corresponding FBX models.
And the second generation submodule generates a corresponding and associated FBX model according to the initial network model if the initial network model is smaller than a preset threshold value.
Optionally, in another embodiment, the method further includes the following modules:
and the storage address allocation module is used for establishing a storage address to the server according to the project and the asset type of the initial network model.
And the comparing and processing module is used for establishing an asset folder of the initial network model in a corresponding storage address if the initial network model is larger than the threshold value, and storing an asset folder of an AssetBound resource file generated by an FBX model generated by a segmented model of the initial network model.
Optionally, in an embodiment, the method further includes:
and the optimization module is used for receiving an optimization request instruction, specifically, the optimization request instruction includes but is not limited to a material optimization instruction, a light optimization instruction, a camera optimization instruction, a picture proportion optimization instruction and a perspective optimization instruction, and optimizing the FBX model according to the optimization request instruction and generating a corresponding and associated asset library resource file.
The embodiment also discloses an electronic device, which comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the three-dimensional model processing method.
The embodiment also discloses an electronic device, which comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the three-dimensional model high-speed browsing method.
The present embodiment also discloses a computer-readable storage medium storing a computer program that can be loaded by a processor and executes the three-dimensional model processing method as described above.
The embodiment also discloses a computer readable storage medium, which stores a computer program capable of being loaded by a processor and executing the three-dimensional model high-speed browsing method.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware associated with instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, databases, or other media used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above.
Claims (10)
1. The three-dimensional model processing method is characterized by comprising the following steps of:
generating a corresponding and associated FBX model according to the initial network model;
compressing and generating a corresponding and associated AssetBound resource file according to the FBX model;
and storing the AssetBound resource file in the server.
2. The three-dimensional model processing method according to claim 1, characterized in that said step of generating a corresponding and associated FBX model from an initial network model comprises the following sub-steps:
judging the size of the initial network model;
if the initial network model is larger than a preset threshold value, forming data of the initial network model into a segmented model with a plurality of segments sorted according to a preset rule;
generating corresponding and associated FBX models according to the segmented models, and storing a preset rule sequence in the corresponding FBX models;
and if the initial network model is smaller than the threshold value, generating a corresponding and associated FBX model according to the initial network model.
3. The three-dimensional model processing method according to claim 2, wherein the step of generating a corresponding and associated assetboudle resource file according to FBX model compression and the step of storing the assetboudle resource file between servers further comprises the steps of:
establishing a storage address in a server according to the project and the asset type of the initial network model;
if the initial network model is larger than the threshold value, an asset folder of the initial network model is established in a corresponding storage address, and an assetboudle resource file generated by an FBX model generated by a segmented model of the initial network model is stored in the asset folder.
4. The three-dimensional model processing method according to claim 1, wherein said step of generating a corresponding and associated AssetBoundle resource file according to FBX model compression comprises the sub-steps of:
receiving an optimization request instruction, wherein the optimization request instruction comprises a material optimization instruction, a light optimization instruction, a camera optimization instruction, a picture proportion optimization instruction and a perspective optimization instruction;
and optimizing the FBX model according to the optimization request instruction and generating a corresponding and associated asset B resource file.
5. The three-dimensional model high-speed browsing method is characterized by comprising the following steps: the method of any one of claims 1-4, in combination, comprising the steps of:
receiving a model preview request;
and loading the AssetPlay resource file corresponding to the model preview request to a sender of the model preview request.
6. The method for browsing three-dimensional models at high speed according to claim 5, wherein after receiving the model preview request, the method further comprises the following steps:
if the initial network model of the asset folder corresponding to the model preview request is larger than the threshold value, reading the asset folder resource files according to a preset rule sequence, and temporarily storing the asset folder asset resource files in a buffer area;
and after the AssetBound resource file is read, integrating the AssetBound resource file according to a preset rule sequence and loading the AssetBound resource file to a sender of the model preview request.
7. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any of claims 1 to 4.
8. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method of claim 5.
9. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 4.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method as claimed in claim 5.
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