CN115033944B - Model rendering method, device, equipment and storage medium based on characteristic data - Google Patents
Model rendering method, device, equipment and storage medium based on characteristic data Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/12—Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The application discloses a model rendering method, device, equipment and storage medium based on characteristic data, and belongs to the technical field of Internet of things. Comprising the following steps: if the shoe body is detected to be positioned at the shoe body design interface, acquiring physical characteristic data of the sole; the physical characteristic data of the sole comprises at least one of sole weight, sole thickness and sole inclination; inputting physical characteristic data of the sole into a pre-constructed component characteristic model; the component feature model is constructed in advance based on sample data; the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component; determining a target component and characteristic data of the target component according to an output result of the component characteristic model; and generating a rendering model of the target component according to the characteristic data of the target component. According to the technical scheme, the characteristics of other parts of the shoe body can be determined by acquiring and using the physical characteristics of the sole, so that the design efficiency of a designer on the whole shoe body is improved.
Description
Technical Field
The application belongs to the technical field of the Internet of things, and particularly relates to a model rendering method, device and equipment based on characteristic data and a storage medium.
Background
With the rapid development of the technology level, the requirements of people on daily wearing equipment are gradually increasing. Particularly for footwear wear, the distinction in design is large due to the different needs of footwear.
Currently, designers often divide the design of a shoe body into several modules, such as a sole, an upper, and laces. For different modules, a designer can design according to the requirements of different modules and then splice the modules together to form the design effect of the whole shoe body. The style of the shoe is updated faster, so that the design is more coordinated for a designer, and the design efficiency is very important. Therefore, how to provide a designer with wider resources and higher efficiency improvement in the shoe body design process is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The embodiment of the application aims to provide a model rendering method, device, equipment and storage medium based on characteristic data, which can solve the problem of limited design efficiency caused by manual design of a designer of a shoe body, and can determine the characteristics of other parts of the shoe body through acquiring and using physical characteristics of soles, so that the design efficiency of the designer on the whole shoe body is improved.
In a first aspect, an embodiment of the present application provides a model rendering method based on feature data, where the method includes:
if the shoe body is detected to be positioned at the shoe body design interface, acquiring physical characteristic data of the sole; wherein the physical characteristic data of the sole comprises at least one of sole weight, sole thickness and sole inclination;
inputting the physical characteristic data of the sole into a pre-constructed component characteristic model; wherein the component feature model is constructed in advance based on sample data; the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component;
determining a target component and characteristic data of the target component according to an output result of the component characteristic model; and generating a rendering model of the target component according to the characteristic data of the target component.
In a second aspect, an embodiment of the present application provides a model rendering apparatus based on feature data, where the apparatus includes:
the physical characteristic data acquisition module is used for acquiring physical characteristic data of the sole if the shoe body design interface is detected; wherein the physical characteristic data of the sole comprises at least one of sole weight, sole thickness and sole inclination;
The data input module is used for inputting the physical characteristic data of the sole into a pre-constructed component characteristic model; wherein the component feature model is constructed in advance based on sample data; the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component;
a target component determining module, configured to determine a target component and feature data of the target component according to an output result of the component feature model; and generating a rendering model of the target component according to the characteristic data of the target component.
In a third aspect, embodiments of the present application provide an electronic device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, the program or instruction implementing the steps of the method according to the first aspect when executed by the processor.
In a fourth aspect, embodiments of the present application provide a readable storage medium having stored thereon a program or instructions which when executed by a processor implement the steps of the method according to the first aspect.
In a fifth aspect, embodiments of the present application provide a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and where the processor is configured to execute a program or instructions to implement a method according to the first aspect.
In the embodiment of the application, if the shoe body is detected to be positioned at the design interface of the shoe body, acquiring physical characteristic data of the sole; wherein the physical characteristic data of the sole comprises at least one of sole weight, sole thickness and sole inclination; inputting the physical characteristic data of the sole into a pre-constructed component characteristic model; wherein the component feature model is constructed in advance based on sample data; the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component; determining a target component and characteristic data of the target component according to an output result of the component characteristic model; and generating a rendering model of the target component according to the characteristic data of the target component. By the model rendering method based on the characteristic data, the problem of limited design efficiency caused by manual design of designers of the shoe body can be solved, and the characteristics of other parts of the shoe body can be determined by acquiring and using the physical characteristics of the sole, so that the design efficiency of the designers on the whole shoe body is improved.
Drawings
FIG. 1 is a flow chart of a model rendering method based on feature data according to an embodiment of the present application;
Fig. 2 is a flow chart of a model rendering method based on feature data according to a second embodiment of the present application;
fig. 3 is a schematic structural diagram of a model rendering device based on feature data according to a third embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the following detailed description of specific embodiments thereof is given with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the matters related to the present application are shown in the accompanying drawings. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently, or at the same time. Furthermore, the order of the operations may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Technical solutions in the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application are within the scope of the protection of the present application.
The terms first, second and the like in the description and in the claims, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present application may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type and not limited to the number of objects, e.g., the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.
The method, the device, the equipment and the storage medium for rendering the model based on the characteristic data provided by the embodiment of the application are described in detail through specific embodiments and application scenes thereof with reference to the accompanying drawings.
Example 1
Fig. 1 is a flowchart of a model rendering method based on feature data according to an embodiment of the present application. As shown in fig. 1, the method specifically comprises the following steps:
s101, if the shoe body design interface is detected, acquiring physical characteristic data of the sole; wherein the physical characteristic data of the sole includes at least one of sole weight, sole thickness and sole inclination.
Firstly, the use scenario of the scheme can be that the scheme is used when a designer designs a shoe body through software or an editing page on an intelligent terminal, such as a smart phone, a tablet computer or a desktop computer. Because the shoe design interface may include tool bars, display bars, model editing bars, etc., a designer may select tools to be used through the tool bars, drawing, adjusting, etc., of certain components of the shoe at the display bars. Each component generates its own spatial model after adjustment and displays it in the model editing column.
Based on the above usage scenario, it may be understood that the execution body of the application may be the intelligent terminal, or may be a processor running software or editing pages in the intelligent terminal, which is not limited in any way.
In this scheme, the shoe body design interface can be the interface that the designer got into when designing the shoe body. The interface with the shoe body design function can be a certain interface of design software or an interface with the shoe body design function which is opened through a browser.
In this scheme, the detection mode of the shoe body design interface may be that whether the design software is opened is identified through the bus of the intelligent terminal, and if so, the current shoe body design interface is determined. Or the network address of the interface with the shoe body design function is identified if the access content of the browser page comprises the network address, and if the access content is accessed, the current shoe body design interface is determined.
The physical characteristic data of the sole may include data of physical properties of the sole, such as weight, thickness, etc., of the sole, and may also include materials of the sole, curve structures, etc. In this aspect, the physical characteristic data of the sole includes at least one of sole weight, sole thickness, and sole inclination. The sole weight can be obtained after the density of the material of the sole object and the volume thereof are converted, and can be displayed in the display column in the form of a label for visual inspection of a designer. The thickness of the sole may be the average thickness of the sole as a whole, or the thickness of the sole above a few characteristic points. The sole inclination may be the overall inclination of the sole to the user's foot joint, with generally flat bottom and athletic shoes having a lower inclination and high-heeled shoes having a higher inclination.
S102, inputting physical characteristic data of the sole into a pre-constructed part characteristic model; wherein the component feature model is constructed in advance based on sample data; the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component.
The component feature model employed herein may be pre-constructed. The component feature model may be constructed by machine learning, and the machine learning model is obtained. The benefit of using a machine learning model is that potential associations of physical feature data of the sole with feature data of other components can be mined and optimized in real time as required. The scheme can also be constructed by manually establishing the association relationship, and the mapping model is obtained. The mapping model is convenient to maintain and modify, and when a certain mapping is found to have a problem, the mapping model can be modified in a targeted manner without retraining.
In this scheme, either model needs to be constructed in advance based on sample data. In particular, the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component. In the scheme, no effect is a network model for machine learning, and sample data can be input in a pre-binding mode to train the excavating capacity of the model on physical characteristic data of the sole and characteristic data of other components. If the mapping model is adopted, batch sample data are required to be acquired, and the association quantity of the physical characteristic data of each sole and the characteristic data of other parts is summarized to be used as a mapping relation with higher association quantity, and the mapping relation can be determined manually by a designer or can be determined by displaying the association quantity and referring to the designer.
In this scheme, the physical characteristic data of the sole can be the characteristic data of one shoe body part or the characteristic data of a plurality of shoe body parts. Therefore, feature data for at least one shoe body component may be obtained based on a pre-trained component feature model.
In another possible solution, the physical characteristic data of a plurality of soles may be associated with a certain characteristic data of a sole body part, for example the sole thickness and the sole inclination may be associated with the material data of the upper at the same time.
In this aspect, optionally, the target component comprises a shoelace;
the characteristic data of the target component includes: at least one of shoelaces, elasticity of shoelaces, shoelace holes and shoelace holes.
If the characteristic data of the shoelace is no shoelace, other characteristic data of the shoelace can be set at 0, and if the shoelace is present, whether the shoelace has elasticity, the shoelace holes, shoelace holes and the like can be further determined.
In this scheme, if the shoelace sets up to elasticity, can be according to hole number and hole site matching setting in the length attribute of shoelace, for example combine hole number and hole site, shoelace length only 50 centimetres to last shoelace both ends interconnect, perhaps fix with the hole site department in top can. If the shoelace is not elastic, the length of the shoelace is reserved, and the length of the shoelace can reach 80 cm or more. In this scheme, the hole site is the position that the shoelace passed from vamp part, and the hole number is the quantity of via hole promptly, for example 5 via holes in vamp one side, and vamp left and right sides symmetry sets up, then the hole site can confirm to be 5 hole sites.
The design method and the design device have the advantages that various attribute information of the shoelaces can be associated with physical characteristic data of the soles by using the component characteristic model output data, so that design efficiency in the design process can be ensured, wearing feeling of a user can be considered, the design efficiency is improved for a designer, and more scientific wearing experience is provided for the wearing user.
S103, determining a target component and characteristic data of the target component according to an output result of the component characteristic model; and generating a rendering model of the target component according to the characteristic data of the target component.
Here, since the output result of the component characteristic model may be one target component or a plurality of target components, it is possible to determine one or more target components to be obtained therein based on the output result of the component characteristic model. It will be appreciated that the feature data of the target component may be directly output while the target component is output through the component feature model. For example, after inputting the physical characteristic data of the sole, two target components, namely the vamp and the shoelace, may be output, and the characteristic data of the vamp is that the vamp thickness is 0.12 mm, and the characteristic data of the shoelace is that the shoelace hole site is 6 hole sites.
In the scheme, after the characteristic data of the target component are obtained, a rendering model of the target component can be generated in a model editing column of a shoe body design interface according to the obtained characteristic data. For example, the target component is a shoelace, and after the characteristic data of the shoelace is obtained as characteristic data of an elastic shoelace, 5 holes and the like, a rendering model of the elastic shoelace can be generated, and the model can simulate a pattern of penetrating through holes and connecting and fixing two ends on an vamp. The benefit of this arrangement of the solution is that it is advantageous for the designer to look and further design, e.g. the designer can further design the colour, pattern etc. on the upper surface of the shoelace according to the pattern.
According to the technical scheme provided by the embodiment, the rendering model of the target component is determined through the characteristic data of the target component output by the component characteristic model, so that the design efficiency of a designer can be effectively improved. And the information beneficial to wearing feeling of the user can be preset in the component characteristic model, and the information can be reflected in the process of outputting the characteristic data of the target component, so that the designed target component is more in line with the wearing requirement of the user, and the wearing experience is improved.
On the basis of the above technical solutions, optionally, the construction process of the component feature model includes:
acquiring a preset number of sample data; wherein the sample data comprises physical characteristic data of the sole and characteristic data of the shoelace;
and constructing an initial model, and training the initial model by adopting the sample data to obtain a component characteristic model which takes physical characteristic data of the sole as input and characteristic data of the shoelace as output.
The preset number can be 1000 pieces, or more or less, and the sample data of the preset number can be acquired after the design of a designer, or can be read from pictures or model data of the shoe body model. In the scheme, because the mapping relation between the physical characteristic data of the sole and the characteristic data of the shoelace is required to be constructed, after the sample data are acquired, the data can be cleaned, namely the sample data with the physical characteristic data of the sole and the characteristic data of the shoelace are screened out from all the sample data, so that valuable data are provided for subsequent model training.
In the scheme, the training mode of the model comprises the step of constructing an initial model preferentially, wherein the super-parameters of the initial model can be preset. And then training parameters in the initial model through sample data to obtain a trained component characteristic model. It can be understood that if the target component is a shoelace, the component characteristic model with the physical characteristic data of the sole as input and the characteristic data of the shoelace as output can be obtained. It will be appreciated that the component characterization model may output other target components, such as the upper, in addition to the characterization data for the upper.
According to the scheme, the machine learning model is used, the relevance between the physical characteristic data of the sole and the characteristic data of the shoelace in the sample data can be deeply mined, and the characteristic data of the shoelace is output based on the relevance, so that more efficient design experience is provided for designers, and meanwhile, data such as feedback and the like can be introduced into the machine learning model by a user, so that the scientificity of the shoe body design is improved.
On the basis of the above technical solutions, optionally, the construction process of the component feature model includes:
acquiring evaluation data of a shoelace component of the shoe body by a user;
reading physical characteristic data of soles of shoe bodies of users;
constructing an association relationship between the physical characteristic data of the sole and the characteristic data of the shoelaces based on the evaluation data and the physical characteristic data of the sole;
and constructing a component characteristic model based on the association relation.
Different from the technical scheme, the technical scheme adopts a component characteristic model constructed based on the association relation. Specifically, the evaluation data of the shoelaces by the user and the physical characteristic data of the soles can be obtained. The shoelace evaluation data can be obtained by obtaining user experience information through a platform and screening out data for evaluating the shoelace. In addition, the shoelace evaluation data may be obtained in other manners, such as offline by a worker, and then recorded online. The physical characteristic data of the sole may be obtained based on design data, such as the user purchasing and evaluating the shoe with the number 123456, and the physical characteristic data of the sole with the number 123456 may be obtained through the server. After obtaining these data, a database with the association between the physical characteristic data of the sole and the characteristic data of the shoelaces can be constructed, which can be specifically entered in the form of a database table.
And in the subsequent use process, the design data of the shoelaces with related or similar physical characteristic data of the soles can be obtained by searching based on the physical characteristic data of the soles of the shoe bodies to be designed, and the feedback data of the users can be obtained, so that the characteristic data of the shoelaces corresponding to the current soles can be obtained by outputting based on the shoelace patterns of historical designs and the feedback data of the users.
The advantage of this embodiment is that a model can be built based on a large amount of historical data and evaluation data of the user, so that the improvement of the use feeling of the user caused by the output result of the model is improved. Meanwhile, in the automatic output process, the working efficiency of the designer can be improved.
In the embodiment of the application, if the shoe body is detected to be positioned at the design interface of the shoe body, acquiring physical characteristic data of the sole; wherein the physical characteristic data of the sole comprises at least one of sole weight, sole thickness and sole inclination; inputting the physical characteristic data of the sole into a pre-constructed component characteristic model; wherein the component feature model is constructed in advance based on sample data; the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component; determining a target component and characteristic data of the target component according to an output result of the component characteristic model; and generating a rendering model of the target component according to the characteristic data of the target component. By the model rendering method based on the characteristic data, the problem of limited design efficiency caused by manual design of designers of the shoe body can be solved, and the characteristics of other parts of the shoe body can be determined by acquiring and using the physical characteristics of the sole, so that the design efficiency of the designers on the whole shoe body is improved.
Example two
Fig. 2 is a flow chart of a model rendering method based on feature data according to a second embodiment of the present application. The scheme makes better improvement on the embodiment, and the specific improvement is as follows: determining a target component and characteristic data of the target component according to an output result of the component characteristic model; and generating a rendering model of the target component according to the characteristic data of the target component, including: identifying an output result of the component feature model; if the reliability of the output result exceeds a preset reliability threshold, determining a target component and characteristic data of the target component according to the output result; rendering the target component based on the characteristic data of the target component to obtain a rendering model of the target component; and displaying the rendering model of the target component in a model editing column. As shown in fig. 2, the method specifically comprises the following steps:
s201, if the shoe body design interface is detected, acquiring physical characteristic data of the sole; wherein the physical characteristic data of the sole includes at least one of sole weight, sole thickness and sole inclination.
S202, inputting physical characteristic data of the sole into a pre-constructed part characteristic model; wherein the component feature model is constructed in advance based on sample data; the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component.
S203, identifying whether the reliability of the output result of the component feature model exceeds a preset reliability threshold; if yes, executing S204; if not, the process is ended.
In the scheme, in the process of outputting the result of the component characteristic model, the reliability of the output result can be additionally output. In combination with the above example, if the model is a machine learning model, the output result may be bound with a reliability data, that is, a feature model of the component obtained based on the sample data, and only the accuracy of the feature data of the target component may be determined to be 50% or the accuracy may be 80% according to the mined association relationship. Similarly, in another component feature model, the confidence level of the output result may be determined based on the similarity of the physical feature data of the sole in the historical data. For example, the similarity between the physical characteristic data of the currently input sole and 0003 in the historical data is 85%, and other historical data which are not similar are used, the output result can be determined based on the shoelace design data of 0003 and the evaluation data, and the reliability of the output result is set to be the same as the similarity, namely, 85%.
In this solution, the similarity threshold may be preconfigured, for example, configured to be 60%, and when the obtained similarity of the output results is lower than 60%, it may be determined that the output result of the component feature model is not available, and at this time, manual design may be performed by a designer.
S204, determining a target component and characteristic data of the target component according to the output result.
If the reliability of the output result exceeds a preset reliability threshold, determining a target component and characteristic data of the target component according to the output result. It will be appreciated that if the confidence threshold is met, the target component and the feature data of the target component may be determined directly from the results of its output.
S205, rendering the target component based on the characteristic data of the target component to obtain a rendering model of the target component; and displaying the rendering model of the target component in a model editing column.
After the target component is determined, rendering can be performed based on the feature data of the target component, and it can be understood that the rendering result can be used as a rendering model and displayed in a model editing column of the shoe design interface. It will be appreciated that after the rendering model of the target component is generated, the designer may still modify it with certain dimensional data, such as the determined target component being a shoelace, the characteristic data being a non-elastic shoelace, 5 holes, and the designer may modify or supplement existing characteristic data based on other characteristics of the upper or sole, such as modifying to 6 holes, or modifying the location of existing holes, or supplementing the length, color, and pattern of the shoelace.
According to the embodiment, through judging the credibility of the output device, data which more accords with the design habit of a designer or the wearing experience of a user can be output, and meanwhile, the output result is more reasonable, so that the influence on the overall design process of the designer due to uneven output result effects is avoided.
On the basis of the foregoing embodiment, optionally, rendering the target component based on the feature data of the target component to obtain a rendering model of the target component includes:
identifying whether the feature data of the target component meets a rendering condition;
if not, determining missing feature data of the target component;
performing complementation processing on the deficient characteristic data based on a pre-trained characteristic data complementation model;
rendering the target component based on the complemented feature data.
It will be appreciated that some characteristic data must be present during the rendering of the target component, such as the position and number of holes in the shoelace, and if not present, only a straight shoelace may be rendered, without providing a way for the designer to exhibit the overall effect. Therefore, after obtaining the feature data of the target component, it is necessary to identify whether or not it satisfies the rendering condition. The rendering condition here may be whether or not the feature data can contain data necessary for all the renderings, and if so, the rendering may be directly performed, and if not, the prompt information may be generated, and the data necessary for the renderings not contained may be manually added by the designer, so that the rendering may be performed based on the result of the manual addition.
The embodiment is arranged in such a way, whether the rendering process can be rendered or not can be judged while the model outputs the characteristic data of the target component, and manual addition is performed by a designer when the rendering process cannot be performed, so that the design efficiency of the designer is improved. And meanwhile, the whole rendering effect of the target component is prevented from being affected by the supplement of the default value.
On the basis of the above technical solution, optionally, after the supplementing processing is performed on the missing feature data based on a feature data supplementing model trained in advance, the method further includes:
determining the number of the complement results of the complement treatment;
if the number of the complement results is at least two, rendering the target component based on the complemented feature data, including:
and rendering the target component based on each complement result to obtain rendering models of at least two target components, and displaying the rendering models of the target components in a model editing column.
According to the scheme, the number of the complement results can be identified, if the number of the complement results is at least two, rendering can be conducted aiming at each complement result, so that at least two rendering models are obtained, and the rendering models are displayed in a model editing column.
The technical scheme has the advantages that a plurality of design results which are expected by a designer can be recorded simultaneously, and are rendered and displayed in a list or other modes, so that the designer can conveniently compare, the design inspiration of the designer is recorded, and the use experience of the designer is improved.
Example III
Fig. 3 is a schematic structural diagram of a model rendering device based on feature data according to a third embodiment of the present application. As shown in fig. 3, the method specifically includes the following steps:
the physical characteristic data acquisition module 301 is configured to acquire physical characteristic data of the sole if the physical characteristic data is detected to be at the shoe body design interface; wherein the physical characteristic data of the sole comprises at least one of sole weight, sole thickness and sole inclination;
a data input module 302, configured to input physical feature data of the sole into a pre-constructed component feature model; wherein the component feature model is constructed in advance based on sample data; the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component;
a target component determining module 303, configured to determine a target component and feature data of the target component according to an output result of the component feature model; and generating a rendering model of the target component according to the characteristic data of the target component.
Further, the target component includes a lace;
the characteristic data of the target component includes: at least one of shoelaces, elasticity of shoelaces, shoelace holes and shoelace holes.
Further, the device further comprises a component characteristic model construction module, specifically configured to:
acquiring a preset number of sample data; wherein the sample data comprises physical characteristic data of the sole and characteristic data of the shoelace;
and constructing an initial model, and training the initial model by adopting the sample data to obtain a component characteristic model which takes physical characteristic data of the sole as input and characteristic data of the shoelace as output.
Further, the device further comprises a component characteristic model construction module, specifically configured to:
acquiring evaluation data of a shoelace component of the shoe body by a user;
reading physical characteristic data of soles of shoe bodies of users;
constructing an association relationship between the physical characteristic data of the sole and the characteristic data of the shoelaces based on the evaluation data and the physical characteristic data of the sole;
and constructing a component characteristic model based on the association relation.
Further, the target component determining module is specifically configured to:
Identifying an output result of the component feature model;
if the reliability of the output result exceeds a preset reliability threshold, determining a target component and characteristic data of the target component according to the output result;
rendering the target component based on the characteristic data of the target component to obtain a rendering model of the target component;
and displaying the rendering model of the target component in a model editing column.
Further, the target component determining module is specifically configured to:
identifying whether the feature data of the target component meets a rendering condition;
if not, determining missing feature data of the target component;
performing complementation processing on the deficient characteristic data based on a pre-trained characteristic data complementation model;
rendering the target component based on the complemented feature data.
Further, the target component determining module is further configured to:
determining the number of the complement results of the complement treatment;
if the number of the complement results is at least two, rendering the target component based on the complemented feature data, including:
and rendering the target component based on each complement result to obtain rendering models of at least two target components, and displaying the rendering models of the target components in a model editing column.
In the embodiment of the application, if the shoe body is detected to be positioned at the design interface of the shoe body, acquiring physical characteristic data of the sole; wherein the physical characteristic data of the sole comprises at least one of sole weight, sole thickness and sole inclination; inputting the physical characteristic data of the sole into a pre-constructed component characteristic model; wherein the component feature model is constructed in advance based on sample data; the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component; determining a target component and characteristic data of the target component according to an output result of the component characteristic model; and generating a rendering model of the target component according to the characteristic data of the target component. By the model rendering method based on the characteristic data, the problem of limited design efficiency caused by manual design of designers of the shoe body can be solved, and the characteristics of other parts of the shoe body can be determined by acquiring and using the physical characteristics of the sole, so that the design efficiency of the designers on the whole shoe body is improved.
The model rendering device based on the feature data in the embodiment of the application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device may be a mobile electronic device or a non-mobile electronic device. By way of example, the mobile electronic device may be a cell phone, tablet computer, notebook computer, palm computer, vehicle-mounted electronic device, wearable device, ultra-mobile personal computer (ultra-mobile personal computer, UMPC), netbook or personal digital assistant (personal digital assistant, PDA), etc., and the non-mobile electronic device may be a server, network attached storage (Network Attached Storage, NAS), personal computer (personal computer, PC), television (TV), teller machine or self-service machine, etc., and the embodiments of the present application are not limited in particular.
The model rendering device based on the feature data in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an ios operating system, or other possible operating systems, which are not specifically limited in the embodiments of the present application.
The model rendering device based on the feature data provided in the embodiment of the present application can implement each process implemented by the method embodiments of fig. 1 to fig. 2, and in order to avoid repetition, a description is omitted here.
Example IV
As shown in fig. 4, the embodiment of the present application further provides an electronic device 400, including a processor 401, a memory 402, and a program or an instruction stored in the memory 402 and capable of running on the processor 401, where the program or the instruction implements each process of the embodiment of the model rendering method based on feature data when executed by the processor 401, and the process can achieve the same technical effect, and for avoiding repetition, a description is omitted herein.
The electronic device in the embodiment of the application includes the mobile electronic device and the non-mobile electronic device described above.
Example five
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, each process of the embodiment of the model rendering method based on feature data is implemented, and the same technical effect can be achieved, so that repetition is avoided, and no further description is given here.
Wherein the processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium such as a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.
Example six
The embodiment of the application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled with the processor, the processor is configured to run a program or an instruction, implement each process of the above embodiment of the model rendering method based on feature data, and achieve the same technical effect, so that repetition is avoided, and no further description is given here.
It should be understood that the chips referred to in the embodiments of the present application may also be referred to as system-on-chip chips, chip systems, or system-on-chip chips, etc.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art in the form of a computer software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), comprising several instructions for causing a terminal (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the methods described in the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.
The foregoing description is only of the preferred embodiments of the present application and the technical principles employed. The present application is not limited to the specific embodiments described herein, but is capable of numerous obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the present application. Therefore, while the present application has been described in connection with the above embodiments, the present application is not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (9)
1. A model rendering method based on feature data, the method comprising:
if the shoe body is detected to be positioned at the shoe body design interface, acquiring physical characteristic data of the sole; wherein the physical characteristic data of the sole comprises at least one of sole weight, sole thickness and sole inclination;
inputting the physical characteristic data of the sole into a pre-constructed component characteristic model; wherein the component feature model is constructed in advance based on sample data; the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component;
Determining a target component and characteristic data of the target component according to an output result of the component characteristic model, wherein the method comprises the following steps: identifying an output result of the component characteristic model, and determining a target component and characteristic data of the target component according to the output result if the reliability of the output result exceeds a preset reliability threshold; and generating a rendering model of the target component according to the characteristic data of the target component, wherein the rendering model comprises the following steps: rendering the target component based on the characteristic data of the target component to obtain a rendering model of the target component, and displaying the rendering model of the target component in a model editing column.
2. The method of claim 1, wherein the target component comprises a shoelace;
the characteristic data of the target component includes: at least one of shoelaces, elasticity of shoelaces, shoelace holes and shoelace holes.
3. The method of claim 2, wherein the process of constructing the component feature model comprises:
acquiring a preset number of sample data; wherein the sample data comprises physical characteristic data of the sole and characteristic data of the shoelace;
And constructing an initial model, and training the initial model by adopting the sample data to obtain a component characteristic model which takes physical characteristic data of the sole as input and characteristic data of the shoelace as output.
4. The method of claim 2, wherein the process of constructing the component feature model comprises:
acquiring evaluation data of a shoelace component of the shoe body by a user;
reading physical characteristic data of soles of shoe bodies of users;
constructing an association relationship between the physical characteristic data of the sole and the characteristic data of the shoelaces based on the evaluation data and the physical characteristic data of the sole;
and constructing a component characteristic model based on the association relation.
5. The method of claim 1, wherein rendering the target part based on the feature data of the target part results in a rendering model of the target part, comprising:
identifying whether the feature data of the target component meets a rendering condition;
if not, determining missing feature data of the target component;
performing complementation processing on the deficient characteristic data based on a pre-trained characteristic data complementation model;
Rendering the target component based on the complemented feature data.
6. The method of claim 5, wherein after the completion of the missing feature data based on a pre-trained feature data completion model, the method further comprises:
determining the number of the complement results of the complement treatment;
if the number of the complement results is at least two, rendering the target component based on the complemented feature data, including:
and rendering the target component based on each complement result to obtain rendering models of at least two target components, and displaying the rendering models of the target components in a model editing column.
7. A model rendering device based on feature data, the device comprising:
the physical characteristic data acquisition module is used for acquiring physical characteristic data of the sole if the shoe body design interface is detected; wherein the physical characteristic data of the sole comprises at least one of sole weight, sole thickness and sole inclination;
the data input module is used for inputting the physical characteristic data of the sole into a pre-constructed component characteristic model; wherein the component feature model is constructed in advance based on sample data; the sample data includes physical characteristic data of the sole and characteristic data of at least one shoe body component;
A target component determining module, configured to determine a target component and feature data of the target component according to an output result of the component feature model; generating a rendering model of the target component according to the characteristic data of the target component; the target component determining module is specifically configured to: and identifying an output result of the component characteristic model, if the reliability of the output result exceeds a preset reliability threshold, determining a target component according to the output result and characteristic data of the target component, rendering the target component based on the characteristic data of the target component to obtain a rendering model of the target component, and displaying the rendering model of the target component in a model editing column.
8. An electronic device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the feature data based model rendering method of any one of claims 1 to 6.
9. A readable storage medium, wherein a program or instructions is stored on the readable storage medium, which when executed by a processor, implements the steps of the feature data based model rendering method of any of claims 1-6.
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| US11775697B2 (en) * | 2017-09-26 | 2023-10-03 | Siemens Industry Software Inc. | Shoe design through 2.5-dimensional shoe models |
| CN115334922A (en) * | 2020-04-03 | 2022-11-11 | 耐克创新有限合伙公司 | System and method for forming an article of footwear using a base footwear structure |
| CN113204808A (en) * | 2021-05-25 | 2021-08-03 | 南京贝生科技有限公司 | Insole design method and device, computer equipment and storage medium |
| CN114638026B (en) * | 2022-02-17 | 2023-04-14 | 广东时谛智能科技有限公司 | Block division method and device in shoe body design process |
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