A visualization display method for clothing design 3D models based on AI model

Abstract

The present invention provides a method for visually displaying a three-dimensional model of clothing design based on an AI model, which belongs to the field of image processing technology. The method specifically comprises: determining design deviation feedback data of different reference design objects in different sizes based on after-sales data and comment data corresponding to different reference design objects; determining deviation design sizes of different reference design objects based on the design deviation feedback data; determining, when it is determined that there is no target size based on distribution data of deviation design sizes of different sizes under different reference design objects, using the distribution data to determine a display processing order for different sizes; using the design deviation data of different sizes that have been displayed and processed, and combining it with planned production data under the sizes, determining future design processing plans for different sizes; and performing visual display processing using an AI model based on the design processing plan. This also lays a foundation for further reducing the return rate caused by size deviation.

Description

Technical Field

[0001] The present invention belongs to the field of image processing technology, and in particular relates to a method for visualizing and displaying a three-dimensional clothing design model based on an AI model. Background Art

[0002] In order to improve the accuracy and efficiency of clothing design processing, the construction of virtual three-dimensional models can quickly and easily reflect the real clothing effects. Specifically, in the invention patent application CN202411348044.3 "Clothing Design Three-Dimensional Modeling Visualization Display System", based on the grid accuracy of multiple independent models and the grid accuracy of multiple fusion models, multiple regional modeling accuracy parameters and model modeling accuracy parameters are classified, and multiple historical modeling accuracies are updated for visual identification and display. However, there are the following technical problems:

[0003] When simulating clothing design, existing technical solutions often use fixed height and weight for simulation processing under the same size. However, since there may be overlaps in height or weight under certain sizes during the size division process, for example, the height is the same but the weight is different, some customers with overlapping situations often return the goods because they choose the wrong size. Therefore, how to generate design processing solutions for different sizes in a targeted manner so that clothing designers can visualize the pattern and size deviation when the size is selected incorrectly, and then carry out targeted design optimization processing to further reduce the after-sales rate has become a technical problem that needs to be solved urgently.

[0004] In order to solve the above technical problems, the present application provides a method for visualizing the display of clothing design three-dimensional models based on an AI model. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] Specifically, in a first aspect, the present application provides a method for visualizing a clothing design three-dimensional model based on an AI model, which specifically includes:

[0007] S1: obtaining the planned listing data of the target design object on different e-commerce platforms, and combining it with the planned production data of the target design object, if it is determined that the dimensional deviation data of the target design object needs to be considered during the design process, then proceeding to the next step;

[0008] S2: determining reference design objects of the target design object based on material data and cutting types of different garment parts of the target design object, determining design deviation feedback data of different reference design objects in different sizes based on after-sales data and review data corresponding to different reference design objects, and determining deviation design sizes of different reference design objects based on the design deviation feedback data;

[0009] When S3 determines that there is no target size based on the distribution data of the deviation design sizes of different sizes under different reference design objects, it uses the distribution data to determine the display processing order under different sizes, uses the design deviation data of different sizes that have been displayed and processed, and combines the planned production data under the sizes to determine the design processing schemes under different sizes in the future, and uses the AI ​​model to perform visual display processing based on the design processing schemes.

[0010] The beneficial effects of the present invention are:

[0011] The distribution data of the deviation design dimensions under different reference design objects is used to determine the display processing order under different dimensions, thereby realizing the determination of the display processing order of different dimensions from the perspective of deviation risk. It can quickly and effectively realize the identification and processing of the abnormal pattern when the size is purchased incorrectly, and then, on the basis of a high degree of abnormality, in order to ensure the clothing design effect, the efficiency of determining the processing of the first design processing scheme under different dimensions is laid.

[0012] Based on the design processing solution, AI models are used for visual display processing, which realizes visual display processing in different sizes and multiple heights and weights. This can ensure the visual analysis processing of clothing designers, and then make targeted modifications to the pattern, reducing the return rate due to buying the wrong size.

[0013] A further technical solution is that the planned listing data includes the number of e-commerce platforms on which the products are planned to be listed.

[0014] A further technical solution is that the planned production data includes the planned production quantity of the target design object in different sizes.

[0015] A further technical solution is to determine that the target design object needs to take into account the dimensional deviation data during the design process, specifically including:

[0016] Based on the planned listing data of the target design object on different e-commerce platforms, determine the e-commerce platform where the target design object is planned to be listed, and use it as the planned listing platform;

[0017] determining a planned production quantity of the target design object according to the planned production data of the target design object;

[0018] Based on the planned number of shelves and the planned production quantity, it is determined whether the target design object needs to consider the size deviation data during the design process.

[0019] A further technical solution is that when the number of the planned platforms is greater than a preset platform number threshold and the planned production quantity is greater than a preset production quantity threshold, it is determined that the target design object needs to consider size deviation data during design processing.

[0020] A further technical solution is that the method for determining the design processing solution under the size is:

[0021] Taking the size of the display processing as the display processing size, using the design deviation data of different display processing sizes, determining the number of types of design deviations that match the different display processing sizes, and using the number as the number of deviation types;

[0022] Determine the proportion of the planned production quantity of the target design object with the size using the production plan data under the size, and use the proportion as the production quantity proportion;

[0023] Determine the design processing solution for the size based on the number of deviation types for different display processing sizes and the proportion of production quantity under the size.

[0024] A further technical solution is to determine the design processing solution for each size based on the number of deviation types for each display processing size and the production quantity ratio for each size, specifically including:

[0025] When there are display processing sizes with a number of deviation types greater than a preset deviation type number threshold, the first design processing solution is used to determine the design processing solutions for all subsequent sizes;

[0026] When there is no display processing size in which the number of deviation types is greater than the preset deviation type number threshold, determine whether the production quantity ratio under the said size is greater than the preset quantity ratio threshold. If so, adopt the first design processing scheme to determine the design processing scheme under the said size; if not, adopt the second design processing scheme to determine the design processing scheme under the said size.

[0027] Specifically, the second design processing scheme is to generate a design scheme based on only the median of the weight and height corresponding to the size.

[0028] A further technical solution is to perform visual display processing, specifically including:

[0029] Based on the design solutions at different sizes, generate design goals at different sizes;

[0030] Based on the weight and height corresponding to the design target, the material data of the target design object in the said size, and the cutting type as input, a convolutional neural network is used to automatically identify the detailed features of the clothing structure and folds to generate a 3D model.

[0031] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0032] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings.

[0034] Figure 1 It is a flow chart of a method for visualizing a three-dimensional model of clothing design based on an AI model;

[0035] Figure 2 It is a flow chart for determining the size deviation data that needs to be considered during the design process of the target design object;

[0036] Figure 3 It is a flow chart of a method for determining the deviation design size;

[0037] Figure 4 It is a flow chart of a method for determining a design treatment solution under a certain size. DETAILED DESCRIPTION

[0038] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0039] In this application, during the generation and processing of design schemes for different sizes, by comprehensively considering the planned production data and the probability of abnormal patterns when purchase deviations occur in different sizes, differentiated design processing schemes are generated for different sizes. On the basis of reducing the difficulty of design processing, designers can timely and effectively discover abnormal pattern problems, thereby reducing the return rate.

[0040] When the number of e-commerce platforms planned for listing is more than 3 and the planned production quantity is more than 5,000 pieces, it is necessary to consider the abnormal situation of pattern when there is deviation in user size purchase.

[0041] The reference design object is a historical design garment having the same material data and cutting type as the target design object in different garment parts.

[0042] Deviation design size refers to the size with size design defects, structural imbalance, three-dimensional fit deviation, symmetry and proportion imbalance among the feedback keywords, and the number of purchasing users accounts for more than 0.25.

[0043] The target size is a size in which the number of reference design objects belonging to the deviation design size is greater than 8.

[0044] The display processing order at different sizes is determined from large to small using the number of reference design objects belonging to the deviation design size.

[0045] Utilize the design deviation data of different sizes that have been processed and combine it with the planned production data of the size to determine the design processing plan for different sizes in the future

[0046] When the number of dimensions with design deviations that have been processed is greater than 3, the first design processing scheme is adopted to determine the design processing scheme; when the number of dimensions with design deviations that have been processed is not greater than 3, and when the planned production volume under the dimension accounts for more than 0.2, the first design processing scheme is adopted to determine the design processing scheme; when the planned production volume under the dimension accounts for not more than 0.2, the second design processing scheme is adopted to determine the design processing scheme.

[0047] Example 1 Figure 1 As shown, the present application provides a method for visualizing a clothing design three-dimensional model based on an AI model, specifically comprising:

[0048] S1: obtaining the planned listing data of the target design object on different e-commerce platforms, and combining it with the planned production data of the target design object, if it is determined that the dimensional deviation data of the target design object needs to be considered during the design process, then proceeding to the next step;

[0049] Furthermore, the planned listing data includes the number of e-commerce platforms on which the product is planned to be listed.

[0050] It can be understood that the planned production data includes the planned production quantities of the target design object in different sizes.

[0051] Specifically, such as Figure 2As shown, determining that the target design object needs to consider the size deviation data during the design process specifically includes:

[0052] Based on the planned listing data of the target design object on different e-commerce platforms, determine the e-commerce platform where the target design object is planned to be listed, and use it as the planned listing platform;

[0053] determining a planned production quantity of the target design object according to the planned production data of the target design object;

[0054] Based on the planned number of shelves and the planned production quantity, it is determined whether the target design object needs to consider the size deviation data during the design process.

[0055] Furthermore, when the number of the planned platforms is greater than a preset platform number threshold and the planned production quantity is greater than a preset production quantity threshold, it is determined that the target design object needs to consider size deviation data during the design process.

[0056] In another possible embodiment, determining that the size deviation data needs to be considered during the design process of the target design object specifically includes:

[0057] Based on the planned listing data of the target design object on different e-commerce platforms, determine the e-commerce platform where the target design object is planned to be listed, and use it as the planned listing platform;

[0058] determining a planned production quantity of the target design object according to the planned production data of the target design object;

[0059] Based on the product of the planned number of shelves and the planned production quantity, the construction requirement value of the target design object is determined, and according to the construction requirement value, it is determined whether the target design object needs to consider the size deviation data during the design process.

[0060] Furthermore, when the construction requirement value is greater than a preset construction requirement threshold, it is determined that the target design object needs to consider the size deviation data during the design process.

[0061] S2: determining reference design objects of the target design object based on material data and cutting types of different garment parts of the target design object, determining design deviation feedback data of different reference design objects in different sizes based on after-sales data and review data corresponding to different reference design objects, and determining deviation design sizes of different reference design objects based on the design deviation feedback data;

[0062] It is understandable that the material data includes cotton, linen, silk, wool, rayon, synthetic fiber, blended and functional fabrics, modal and chiffon.

[0063] Specifically, the cutting type includes cutting size and cutting pattern.

[0064] It should be noted that the reference design object is a historical design object whose material data at different clothing parts are consistent with that of the target design and whose deviations in cutting size and cutting pattern are within a preset deviation range.

[0065] Furthermore, the types of design deviations include dimensional design defects, structural imbalance, three-dimensional fit deviation, and symmetry and proportion imbalance.

[0066] It should also be noted that the design deviation feedback data includes the number of users who provide feedback under different types of design deviations.

[0067] Specifically, such as Figure 3 As shown, the method for determining the deviation design size is:

[0068] Determining feedback users for different types of design deviations based on the design deviation feedback data of the reference design object;

[0069] Determine the number of feedback users with feedback data showing design deviations for different sizes based on the purchase sizes corresponding to the feedback users with different types of design deviations;

[0070] Whether the size is a deviated design size is determined according to the number of users who have provided feedback data showing design deviations for different sizes.

[0071] Furthermore, when the number of feedback users who have feedback data showing design deviation under the size is greater than a preset threshold of the number of feedback users, the size is determined to be a deviation design size under the reference design object.

[0072] In another possible embodiment, the method for determining the deviation design size is:

[0073] Determining feedback users for different types of design deviations based on the design deviation feedback data of the reference design object;

[0074] Determine the number of feedback users with feedback data showing design deviations for different sizes based on the purchase sizes corresponding to the feedback users with different types of design deviations;

[0075] A feedback deviation ratio is determined according to a ratio of the number of feedback users whose feedback data show design deviations under the size to the number of feedback users whose feedback data show design deviations under the reference design object, and whether the size is a deviation design size is determined based on the feedback deviation ratio.

[0076] Furthermore, when the feedback deviation ratio is greater than a preset deviation ratio threshold, the size is determined to be a deviation design size.

[0077] When S3 determines that there is no target size based on the distribution data of the deviation design sizes of different sizes under different reference design objects, it uses the distribution data to determine the display processing order under different sizes, uses the design deviation data of different sizes that have been displayed and processed, and combines the planned production data under the sizes to determine the design processing schemes under different sizes in the future, and uses the AI ​​model to perform visual display processing based on the design processing schemes.

[0078] Specifically, determining that the target size does not exist includes:

[0079] Based on distribution data of deviation design dimensions of different dimensions under different reference design objects, determining a reference design object whose dimensions belong to the deviation design dimensions and using it as the deviation design object;

[0080] According to the number of the deviation design objects, it is determined whether the size belongs to the target size.

[0081] Furthermore, determining whether the size belongs to the target size based on the number of the deviation design objects specifically includes:

[0082] When there are dimensions with a number of deviating design objects greater than a preset threshold value for the number of deviating design objects, the dimension with the largest number of deviating design objects is used as the target dimension;

[0083] When the number of non-deviation design objects is greater than a preset deviation design object number threshold, it is determined that the target size does not exist.

[0084] It can be understood that when there is a target size, the first design processing scheme is adopted to determine the design processing scheme under the target size, and when the number of types of matching design deviations under the target size is greater than the preset deviation number threshold, the first design processing scheme is adopted at different sizes to determine the design processing schemes at different sizes; if not, the second design processing scheme is adopted at different sizes to determine the design processing schemes at different sizes.

[0085] In another possible embodiment, determining that the target size does not exist specifically includes:

[0086] S21: based on the distribution data of the deviation design dimensions of different dimensions under different reference design objects, determining a reference design object whose dimension belongs to the deviation design dimension, and using it as the deviation design object;

[0087] It should be noted that before proceeding to step S22, it is necessary to determine whether there are deviation design objects of the size and whether the number of deviation design objects meets the requirements. Specifically, a threshold is used to determine whether the number of deviation design objects meets the requirements.

[0088] It can be understood that when there is no deviation design object in the size, it is directly determined that the size does not belong to the target size.

[0089] Specifically, even if there is no deviation design object, if the number of deviation design objects corresponding to the size is small, when it is less than a certain threshold, it is directly determined that the number of deviation design objects does not meet the requirements, and therefore it can be directly determined that it does not belong to the target size.

[0090] It should be noted that, through the screening in the above steps, it is possible to screen the sizes of the design objects with a large number of deviations, thereby improving the efficiency of the screening process of the target size.

[0091] S22 determines the feedback anomaly coefficient of the different deviation design objects at the size based on the number of users who have feedback data on the different deviation design objects at the size and the number of feedback users who have feedback data on the different deviation design objects at the size;

[0092] Exemplarily, before entering step S23, it is also necessary to determine whether the sum of the number of feedback users who have feedback data on design deviations of the design objects with different deviations under the said dimensions meets the requirements, and whether the feedback abnormality coefficients of the different deviation design objects are all less than the preset abnormality coefficient threshold.

[0093] It should be noted that, when the sum of the number of feedback users whose feedback data on design deviations exist for design objects with different deviations at the said sizes is relatively small, that is, less than the preset number threshold, it can be directly determined that the sum of the number of feedback users whose feedback data on design deviations exist for design objects with different deviations at the said sizes meets the requirements. Since the number of feedback users is relatively small, it can be directly determined that it does not belong to the target size.

[0094] It should also be noted that even if the number of feedback users meets the requirements, if the feedback abnormality coefficients of different deviation design objects are all less than the preset abnormality coefficient threshold, and the number of deviation design objects is within the preset number range, at this time, since the credibility of different deviation design objects is not high and the number of deviation design objects is not large, it can be directly determined that it does not belong to the target size.

[0095] S23 determines a comprehensive abnormality value of the size according to the number of the deviation design objects and the feedback abnormality coefficients of different deviation design objects under the size, and determines whether the size belongs to the target size based on the comprehensive abnormality value.

[0096] It can be understood that when there is a size with a comprehensive abnormal value greater than the preset abnormal threshold, the size with the largest comprehensive abnormal value is taken as the target size. When there is no size with a comprehensive abnormal value greater than the preset abnormal threshold, it is determined that there is no target size.

[0097] It can be understood that the comprehensive abnormality value of the dimension can be determined by expert scoring. Specifically, the number of deviation design objects and the feedback abnormality coefficients of different deviation design objects under the said dimension are taken as input quantities, and the comprehensive abnormality value of the said dimension is determined according to the output result of the mathematical model of expert scoring.

[0098] Furthermore, the display processing order is determined from largest to smallest according to the number of reference design objects of different sizes belonging to the deviation design size.

[0099] Specifically, such as Figure 4 As shown, the method for determining the design processing solution under the size is:

[0100] Taking the size of the display processing as the display processing size, using the design deviation data of different display processing sizes, determining the number of types of design deviations that match the different display processing sizes, and using the number as the number of deviation types;

[0101] Determine the proportion of the planned production quantity of the target design object with the size using the production plan data under the size, and use the proportion as the production quantity proportion;

[0102] Determine the design processing solution for the size based on the number of deviation types for different display processing sizes and the proportion of production quantity under the size.

[0103] Furthermore, based on the number of deviation types for different display processing sizes and the production quantity ratio for the sizes, a design processing solution for the sizes is determined, specifically including:

[0104] When there are display processing sizes with a number of deviation types greater than a preset deviation type number threshold, the first design processing solution is used to determine the design processing solutions for all subsequent sizes;

[0105] When there is no display processing size in which the number of deviation types is greater than the preset deviation type number threshold, determine whether the production quantity ratio under the said size is greater than the preset quantity ratio threshold. If so, adopt the first design processing scheme to determine the design processing scheme under the said size; if not, adopt the second design processing scheme to determine the design processing scheme under the said size.

[0106] Optionally, the method for determining the design processing solution under the size is:

[0107] S41 determines the proportion of the planned production quantity of the target design object with the size according to the production plan data under the size, and uses the proportion as the production quantity proportion. In combination with the number of reference design objects whose size belongs to the deviation design size, the deviation influence coefficient under the size is determined.

[0108] Optionally, before entering step S42, it is also necessary to determine in turn whether the production quantity ratio under the said size meets the requirements, whether the number of reference design objects whose size belongs to the deviation design size meets the requirements, and whether the deviation influence coefficient under the said size meets the requirements. Specifically, whether the requirements are met can be determined by fixing the threshold.

[0109] Specifically, when the proportion of production quantity under the size is greater than the preset quantity proportion threshold, the first design processing scheme is adopted to determine the design processing scheme under the size. Even if the proportion of production quantity under the size is not greater than the preset quantity proportion threshold, it is still necessary to judge whether the number of reference design objects whose size belongs to the deviation design size meets the requirements. When the number of reference design objects whose size belongs to the deviation design size does not meet the requirements, the first design processing scheme is directly determined to determine the design processing scheme under the size.

[0110] It can be understood that when the number of reference design objects whose dimensions belong to the deviation design dimensions meets the requirements, it is necessary to further determine whether the deviation influence coefficient under the dimensions is greater than a fixed threshold. If so, the first design processing scheme is directly determined to determine the design processing scheme under the dimensions. If not, when the deviation influence coefficient is within the preset influence coefficient range, it means that the deviation influence coefficient is too small. At this time, the second design processing scheme is adopted to determine the design processing scheme under the dimensions.

[0111] Specifically, if and only if the deviation influence coefficient is within the preset influence coefficient range, proceed to step S42.

[0112] S42 uses the size that has been processed for display as the display processing size, and uses the design deviation data of different display processing sizes to determine the number of design deviation types that match the different display processing sizes, and uses this number as the number of deviation types. Based on the number of deviation types under different display processing sizes, the design deviation probability of the target design object is determined;

[0113] It should be further explained that before entering step S43, it is necessary to determine whether there is a display processing size whose number of deviation types does not meet the requirements. In addition, it is necessary to further determine whether the design deviation probability of the target design object meets the requirements. When there is a display processing size whose number of deviation types does not meet the requirements or the design deviation probability of the target design object does not meet the requirements, the second design processing scheme is directly determined to determine the design processing scheme under the size.

[0114] Specifically, to determine whether the requirements are met, a preset threshold value may be used.

[0115] If and only if all the above conditions are met, proceed to step S43.

[0116] S43 determines an abnormality influence coefficient under the size according to the deviation influence coefficient under the size and the design deviation probability, and determines a design processing solution under the size based on the abnormality influence coefficient.

[0117] It should be further explained that when the abnormal influence coefficient under the said size is greater than the preset influence coefficient threshold, the first design processing scheme is adopted to determine the design processing scheme under the said size; if not, the second design processing scheme is adopted to determine the design processing scheme under the said size.

[0118] It can be understood that the first design processing scheme is based on the clothing of the size, with the median of the weight and height corresponding to the previous size and the next size of the size as the endpoints of the design scheme, and according to the preset number of schemes, the endpoint range is divided at equal intervals to obtain divided endpoints, and the height and weight corresponding to the divided endpoints are used as the design scheme for clothing of the size.

[0119] To give a specific example, the median of the weight and height of the previous size and the median of the weight and height of the next size are used as endpoints to form endpoint A and endpoint B, where each endpoint has a corresponding height and weight. The two endpoints are divided into equal intervals according to the number of design schemes 2 to obtain endpoints C and endpoint D inside the divided endpoints. The design scheme is determined based on the height and weight corresponding to endpoint A, point B, endpoint C, and endpoint D.

[0120] Specifically, the second design processing scheme is to generate a design scheme based on only the median of the weight and height corresponding to the size.

[0121] Specifically, the visual display processing is performed, including:

[0122] Based on the design solutions at different sizes, generate design goals at different sizes;

[0123] Based on the weight and height corresponding to the design target, the material data of the target design object in the said size, and the cutting type as input, a convolutional neural network is used to automatically identify the detailed features of the clothing structure and folds to generate a 3D model.

[0124] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0125] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0126] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A method for visualizing a clothing design three-dimensional model based on an AI model, characterized in that: Specifically include: Obtaining planned listing data of the target design object on different e-commerce platforms, and combining this with the planned production data of the target design object, if it is determined that dimensional deviation data needs to be considered during the design process of the target design object, proceed to the next step; Determining reference design objects of the target design object based on material data and cutting types of different garment parts of the target design object, determining design deviation feedback data of different reference design objects in different sizes based on after-sales data and review data corresponding to different reference design objects, and determining deviation design sizes of the different reference design objects based on the design deviation feedback data; When it is determined that the target size does not exist based on the distribution data of the deviation design sizes of different sizes under different reference design objects, the display processing order of the different sizes is determined using the distribution data, and the design deviation data of the different sizes that have been displayed and processed is combined with the planned production data of the sizes to determine the design processing solutions for the different sizes in the future. Based on the design processing solutions, the AI ​​model is used to perform visual display processing; The method for determining the design treatment solution under the above size is: Taking the size of the display processing as the display processing size, using the design deviation data of different display processing sizes, determining the number of types of design deviations that match the different display processing sizes, and using the number as the number of deviation types; Determine the proportion of the planned production quantity of the target design object with the size using the production plan data under the size, and use the proportion as the production quantity proportion; Based on the number of deviation types for different display processing sizes and the production quantity ratio for the sizes, the design processing solution for the sizes is determined, specifically including: When there are display processing sizes with a number of deviation types greater than a preset deviation type number threshold, the first design processing solution is used to determine the design processing solutions for all subsequent sizes; When there is no display processing size with a number of deviation types greater than a preset deviation type number threshold, determine whether the production quantity ratio of the size is greater than the preset quantity ratio threshold; if so, adopt the first design processing solution to determine the design processing solution for the size; if not, adopt the second design processing solution to determine the design processing solution for the size; The first design processing scheme is based on the clothing of the size, takes the median of the weight and height corresponding to the previous size and the next size of the size as the endpoint of the design scheme, divides the endpoint range into equal intervals according to a preset number of schemes, and uses the height and weight corresponding to the division endpoint as the design scheme of the clothing of the size; The second design processing scheme is to generate a design scheme based on only the median of the weight and height corresponding to the size.

2. The method for visualizing a clothing design three-dimensional model based on an AI model according to claim 1, wherein: The planned listing data includes the number of e-commerce platforms on which listing is planned.

3. The method for visualizing a clothing design three-dimensional model based on an AI model according to claim 1, wherein: The planned production data includes the planned production quantities of the target design object in different sizes.

4. The method for visualizing a clothing design three-dimensional model based on an AI model according to claim 1, wherein: Determining that the target design object needs to take into account dimensional deviation data during design processing includes: Based on the planned listing data of the target design object on different e-commerce platforms, determine the e-commerce platform where the target design object is planned to be listed, and use it as the planned listing platform; determining a planned production quantity of the target design object according to the planned production data of the target design object; Based on the planned number of shelves and the planned production quantity, it is determined whether the target design object needs to consider the size deviation data during the design process.

5. The method for visualizing a clothing design three-dimensional model based on an AI model according to claim 1, wherein: The material data includes cotton, linen, silk, wool, rayon, synthetic fiber, blended and functional fabrics, modal and chiffon.

6. The method for visualizing a clothing design three-dimensional model based on an AI model according to claim 1, wherein: The reference design object is a historical design object having material data consistent with that of the target design at different clothing parts and having deviations in cutting size and cutting pattern within a preset deviation range.

7. The method for visualizing a clothing design three-dimensional model based on an AI model according to claim 1, wherein: The types of design deviations include dimensional design defects, structural imbalance, three-dimensional fit deviation, and symmetry and proportion imbalance.

8. The method for visualizing a clothing design three-dimensional model based on an AI model according to claim 7, wherein: The design deviation feedback data includes the number of users who provide feedback under different types of design deviations.

9. The method for visualizing a clothing design three-dimensional model based on an AI model according to claim 1, wherein: Perform visual display processing, including: Based on the design solutions at different sizes, generate design goals at different sizes; Based on the weight and height corresponding to the design target, the material data of the target design object in the said size, and the cutting type as input, a convolutional neural network is used to automatically identify the detailed features of the clothing structure and folds to generate a 3D model.

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