Personalized costume design method and device, equipment, storage medium and product

Abstract

The invention discloses a personalized costume design method and device, equipment, a storage medium and a product, and relates to the technical field of costume designing.The personalized costume design method comprises the steps that a design request, a first area and a second area of a user are obtained through a survey problem; generating a plurality of costume design pictures according to the design request; obtaining a first target feature; obtaining a second target feature; calculating a first feature similarity between a feature corresponding to each picture in the plurality of costume design pictures and the first target feature, and sending at least one costume design picture with the highest first feature similarity to a client; calculating a second feature similarity between the feature corresponding to each picture in the plurality of costume design pictures and the second target feature, and sending at least one costume design picture with the highest second feature similarity to the client; according to the technical scheme provided by the invention, the clothes with specified design key points can be generated according to requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of clothing design, and in particular to a personalized clothing design method, device, equipment, storage medium and product. Background Art

[0002] With the growing demand for personalization, the apparel industry faces unprecedented challenges and opportunities. In the field of apparel design, traditional design methods often rely on the designer's personal experience and intuition. While this approach can produce unique designs, it has significant limitations in terms of efficiency, cost control, and market responsiveness. Related technologies use Generative Adversarial Networks (GANs) or other techniques to generate highly realistic and high-resolution clothing images. However, these methods lack controllability, making it difficult to generate clothing that meets specific design requirements. Summary of the Invention

[0003] The main purpose of the present invention is to provide a personalized clothing design method, device, equipment, storage medium and product, which are designed to generate clothing with specified design points according to needs.

[0004] To achieve the above-mentioned object, the personalized clothing design method proposed by the present invention comprises:

[0005] Obtain user design requests, first area, and second area through survey questions;

[0006] generating a plurality of clothing design images according to the design request;

[0007] Counting a plurality of first-category clothing products popular in the first region, extracting common features of the plurality of first-category clothing products, and obtaining a first target feature;

[0008] Counting a plurality of second-category clothing products popular in the second region, extracting common features of the plurality of second-category clothing products, and obtaining a second target feature;

[0009] Calculating a first feature similarity between a feature corresponding to each of the plurality of clothing design images and the first target feature, and sending at least one clothing design image having the highest first feature similarity to the client;

[0010] Calculating a second feature similarity between a feature corresponding to each of the plurality of clothing design images and the second target feature, and sending at least one clothing design image having the highest second feature similarity to the client;

[0011] The first area is the area where the user is located, and the second area is the area with the highest sales volume of the clothing category corresponding to the design request.

[0012] In one embodiment, after the step of obtaining the user's design request, the first area, and the second area through survey questions, the following steps are performed:

[0013] determining whether the first area and the second area are the same area;

[0014] If so, the region with the second highest sales volume of the clothing category corresponding to the design request is selected as the new second region.

[0015] In one embodiment, the step of counting a plurality of clothing products of the first category in the first region includes:

[0016] Obtaining sales records of clothing products in the first region from a third-party server, and counting sales of clothing products in the clothing category corresponding to the design request within a current time period;

[0017] A plurality of clothing products with the highest sales volume are selected as a plurality of clothing products of the first category.

[0018] In one embodiment, the step of counting a plurality of clothing products of the second category in the second area includes:

[0019] Obtaining sales records of clothing products in the second region from a third-party server, and counting sales of clothing products in the clothing category corresponding to the design request within a current time period;

[0020] A plurality of clothing products with the highest sales volume are selected as a plurality of clothing products of the second category.

[0021] In one embodiment, the personalized clothing design method further includes:

[0022] Obtaining the user's body parameters through the survey questions;

[0023] Obtaining a three-dimensional human body model that matches the body shape parameters from a preset model library, and obtaining human body feature points in the three-dimensional human body model;

[0024] Segmenting the three-dimensional human body model according to the human body feature points to obtain information of multiple human body parts;

[0025] Determine the height ratio and girth information of the user according to the body shape parameters, and obtain target body information corresponding to each part of the user according to the height ratio, the girth information and the personal body part information;

[0026] The user's clothing design standard size is obtained based on the target human body information corresponding to each part of the user.

[0027] In one embodiment, after obtaining the user's clothing design standard size based on the target body information corresponding to each part of the user, the method further includes:

[0028] using the selected at least one clothing design picture as a target clothing design picture;

[0029] The target clothing design image is rendered according to the user's clothing design standard size.

[0030] In addition, to achieve the above-mentioned purpose, the present application also proposes a personalized clothing design device, which includes:

[0031] An information acquisition module, configured to obtain the user's design request, the first area, and the second area through survey questions;

[0032] a first calculation module, configured to generate a plurality of clothing design images according to the design request;

[0033] An analysis module, wherein the analysis module is used to:

[0034] Counting multiple clothing products of the first category in the first area, extracting common features of the multiple clothing products of the first category, and obtaining a first target feature;

[0035] Counting multiple clothing products of the second category in the second area, extracting common features of the multiple clothing products of the second category, and obtaining second target features;

[0036] A second calculation module, wherein the second calculation module is configured to:

[0037] Calculating a first feature similarity between a feature corresponding to each of the plurality of clothing design images and the first target feature, and sending at least one clothing design image having the highest first feature similarity to the client;

[0038] Calculating a second feature similarity between a feature corresponding to each of the plurality of clothing design images and the second target feature, and sending at least one clothing design image having the highest second feature similarity to the client;

[0039] The first area is the area where the user is located, and the second area is the area with the highest sales volume of the clothing category corresponding to the design request.

[0040] In addition, to achieve the above-mentioned purpose, the present application also proposes a computer device, which includes: a memory, a processor, and a personalized clothing design program stored on the memory and runnable on the processor, wherein the personalized clothing design program is configured to implement the steps of the personalized clothing design method as described above.

[0041] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, characterized in that a personalized clothing design program is stored on the storage medium, and when the personalized clothing design program is executed by the processor, the steps of the personalized clothing design method described above are implemented.

[0042] In addition, to achieve the above-mentioned purpose, the present application also proposes a computer program product, characterized in that the computer program product includes a computer program, and when the computer program is executed by a processor, it implements the steps of the personalized clothing design method as described above.

[0043] In the technical solution of the present invention, the user's design request can be obtained by surveying questions, and the design is directly carried out according to the specific needs of the user, so that the final design result is more in line with the user's personalized needs, thereby improving user satisfaction. By analyzing the characteristics of clothing products in the user's area (first area) and the area with the highest sales volume (second area), the needs and preferences of different regional markets can be better understood, making the designed clothing more market-adaptable. The clothing design picture with the highest similarity to the first feature and the clothing design picture with the highest similarity to the second feature are sent to the client, so that the clothing design picture received by the client can meet the clothing design needs while also having a high degree of matching with the popular product characteristics, so that clothing with specified design points can be generated according to demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0045] Figure 1 A schematic flow chart of an embodiment of a personalized clothing design method provided by the present invention;

[0046] Figure 2 A schematic flow chart of another embodiment of the personalized clothing design method provided by the present invention;

[0047] Figure 3 A schematic flow chart of another embodiment of the personalized clothing design method provided by the present invention;

[0048] Figure 4 A schematic diagram of the module structure of an embodiment of a personalized clothing design device provided by the present invention;

[0049] Figure 5 This is a structural diagram of an embodiment of a computer device provided by the present invention.

[0050] Description of Figure Numbers:

[0051] 401. Information acquisition module; 402. First calculation module; 403. Analysis module; 404. Second calculation module.

[0052] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0054] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture. If the specific posture changes, the directional indications will also change accordingly.

[0055] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features limited to "first" and "second" may explicitly or implicitly include at least one of such features. In addition, if "and / or" or "and / or" appears in the full text, its meaning includes three parallel solutions. Taking "A and / or B" as an example, it includes solution A, solution B, or solutions that satisfy both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in this field to implement. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0056] It should be noted that the execution subject of the embodiment of the present application is a computing service device with data processing, network communication and program execution functions, such as a network server or a database server.

[0057] See also Figure 1 In one embodiment of the present invention, the personalized clothing design method includes the following steps:

[0058] Step S10: Obtaining the user's design request, the first area, and the second area through survey questions;

[0059] Step S20: generating a plurality of clothing design images according to the design request;

[0060] Step S30: Counting a plurality of first-category clothing products popular in the first region, extracting common features of the plurality of first-category clothing products, and obtaining a first target feature;

[0061] Step S40: Counting a plurality of second-category clothing products popular in the second region, extracting common features of the plurality of second-category clothing products, and obtaining a second target feature;

[0062] Step S50: calculating the first feature similarity between the feature corresponding to each of the plurality of clothing design images and the first target feature, and sending at least one clothing design image with the highest first feature similarity to the client;

[0063] Step S60: calculating the second feature similarity between the feature corresponding to each of the plurality of clothing design images and the second target feature, and sending at least one clothing design image with the highest second feature similarity to the client.

[0064] Among them, the first area is the area where the user is located, and the second area is the area with the highest sales volume of the clothing category corresponding to the design request. For example, when the user is in Guangzhou and the area with the highest sales volume of the clothing category corresponding to the design request is Shenzhen, the first area is Guangzhou and the second area is Shenzhen.

[0065] The design request includes clothing type and clothing style parameters. For example, clothing type can be T-shirt, skirt, shorts, etc., and clothing style parameters can be ripped, washed, Hepburn style, etc.

[0066] The survey questions include clothing type, clothing style parameters, user region, user body parameters and other related questions. The survey questions can be used to obtain data such as design requests, first region, second region, user body parameters and so on.

[0067] The clothing design image can be generated using a pre-trained first model. The first model is trained using a known first clothing design image as output and the clothing type and style parameters corresponding to the first clothing design image as input. The known first clothing design image can be captured using a crawler tool from e-commerce, store, and catwalk data. The captured image is then tiled / sub-tiled and classified using a classification network. A semantic segmentation algorithm is then used to remove background noise from the tiled image. Patterns and prints on the clothing are then erased to produce a clean, standard rendering, i.e., the first clothing design image. The first model can be, but is not limited to, a styleGAN model, a BigGAN model, etc.

[0068] In addition, it should be noted that after the first area and the second area are determined, step S30 and step S40 can be performed simultaneously, and similarly, step S50 and step S60 can also be performed simultaneously.

[0069] In the technical solution of the present invention, the user's design request can be obtained by surveying questions, and the design is directly carried out according to the specific needs of the user, so that the final design result is more in line with the user's personalized needs, thereby improving user satisfaction. By analyzing the characteristics of clothing products in the user's area (first area) and the area with the highest sales volume (second area), the needs and preferences of different regional markets can be better understood, making the designed clothing more market-adaptable. The clothing design picture with the highest similarity to the first feature and the clothing design picture with the highest similarity to the second feature are sent to the client, so that the clothing design picture received by the client can meet the clothing design needs while also having a high degree of matching with the popular product characteristics, so that clothing with specified design points can be generated according to demand.

[0070] See also Figure 2 In one embodiment of the present invention, after step S10, the following steps are included:

[0071] Step S11: determining whether the first area and the second area are the same area;

[0072] Step S12: If yes, select the region with the second highest sales volume of the clothing category corresponding to the design request as a new second region.

[0073] It is understandable that in certain circumstances, the first region and the second region will be the same. For example, if the user is in Guangzhou and the region with the highest sales volume of the clothing category corresponding to the design request is also in Guangzhou, then the first region and the second region are the same. In order to avoid sample bias, in this case, by selecting the region with the second highest sales volume of the clothing category corresponding to the design request as the new second region, it can be ensured that the first region and the second region are different, so that the market characteristics of different regions can be analyzed more comprehensively and clothing that better meets the diverse market needs can be designed. In addition, more regions can be set to increase the diversity of market data. For example, when the first region and the second region are different in themselves, the second and third regions with the highest sales volume of the clothing category corresponding to the design request can be added as the third region to the fourth region, so that the third target feature and the fourth target feature can be obtained accordingly, and more clothing design pictures that conform to fashion trends can be provided to users for selection.

[0074] In one embodiment of the present invention, step S30 includes:

[0075] Step S31: obtaining sales records of clothing products in the first region from a third-party server, and counting sales of clothing products of the clothing category corresponding to the design request within a current time period;

[0076] Step S32: Select multiple clothing products with the highest sales volume as multiple clothing products of the first category.

[0077] The third-party server can be a server on a clothing merchandise sales platform, such as Taobao or JD.com. The current time period can be set based on actual circumstances, such as one month or one week before the current time. A clothing category can refer to a type of clothing. For example, in the field of clothing design, skirts can be considered one category, while shirts can be considered another category. Therefore, the clothing category corresponding to a design request can refer to the clothing type specified in the design request.

[0078] For example, the clothing type carried in the design request is a skirt, and the current time period is the week before the current time. Counting the sales volume of clothing products of the clothing category corresponding to the design request in the current time period may refer to counting the sales volume of various skirts in the previous week.

[0079] After counting the sales volume of clothing products in the clothing category corresponding to the design request during the current time period, the sales volume of different clothing products can be sorted by style, and then the clothing products with the highest sales volume can be selected as the first category of clothing products. For example, the top 100 clothing products with the highest sales volume can be selected as the first category of clothing products, or the clothing products with the top 1% sales volume can be selected as the first category of clothing products.

[0080] In one embodiment of the present invention, step S40 includes:

[0081] Step S41: obtaining sales records of clothing products in the second region from the third-party server, and counting sales of clothing products of the clothing category corresponding to the design request in the current time period;

[0082] Step S42: Select multiple clothing products with the highest sales volume as multiple clothing products of the second category.

[0083] The third-party server can be a server on a clothing merchandise sales platform, such as Taobao or JD.com. The current time period can be set based on actual circumstances, such as one month or one week before the current time. A clothing category can refer to a type of clothing. For example, in the field of clothing design, skirts can be considered one category, while shirts can be considered another category. Therefore, the clothing category corresponding to a design request can refer to the clothing type specified in the design request.

[0084] For example, the clothing type carried in the design request is a skirt, and the current time period is the week before the current time. Counting the sales volume of clothing products of the clothing category corresponding to the design request in the current time period may refer to counting the sales volume of various skirts in the previous week.

[0085] After counting the sales volume of clothing products in the clothing category corresponding to the design request during the current time period, the sales volume of different clothing products can be sorted by style, and then the clothing products with the highest sales volume can be selected as the second category of clothing products. For example, the top 100 clothing products with the highest sales volume can be selected as the second category of clothing products, or the clothing products with the top 1% sales volume can be selected as the second category of clothing products.

[0086] The extraction of the first target feature and the extraction of the second target feature can be performed through a pre-established second model, which can be trained with a known second clothing design picture as input and a clothing category corresponding to the second clothing design picture as output.

[0087] When extracting common features from multiple clothing items in the first or second category, images of each of the multiple clothing items in the first or second category can be used as input to a pre-trained second model. The feature vectors output by the last two layers of the second model are then concatenated to obtain a plurality of initial features corresponding to each of the multiple clothing items in the first or second category. The common feature vectors from these initial features are then extracted to obtain a target feature, which is the common feature of the multiple clothing items in the first or second category.

[0088] For example, there are three clothing items, labeled clothing item A, clothing item B, and clothing item C. When the image of clothing item A is used as the input for the second model, the feature vectors output by the last two layers of the second model are a1 and a2, respectively. When the image of clothing item B is used as the input for the second model, the feature vectors output by the last two layers of the second model are b1 and b2, respectively. When the image of clothing item C is used as the input for the second model, the feature vectors output by the last two layers of the second model are c1 and c2, respectively. Then, feature vectors a1 and a2 can be concatenated to obtain feature vector a3, feature vectors b1 and b2 can be concatenated to obtain feature vector b3, and feature vectors c1 and c2 can be concatenated to obtain feature vector c3. The target feature can then be obtained by extracting the shared feature vectors among feature vectors a3, b3, and c3.

[0089] In the embodiment of the present application, the second clothing design picture can be the aforementioned first clothing design picture, or it can be a clothing design picture obtained according to the method of obtaining the aforementioned first clothing design picture, and is not specifically limited in the embodiment of the present application.

[0090] The second model can be, but is not limited to, a styleGAN model, a BigGAN model, etc.

[0091] In the embodiment of the present application, when calculating the feature similarity between the feature corresponding to each image and the first target feature or the second target feature, the similarity between the features can be obtained by calculating the KL (Kullback Leibler) distance, JS (Jensen Shannon) distance or cosine distance between the feature corresponding to each image and the first target feature or the second target feature, and then normalizing and performing weighted operation according to the weight. This is the existing technology and will not be described in detail in the embodiment of the present application.

[0092] See also Figure 3 In one embodiment of the present invention, the personalized clothing design method further includes the following steps:

[0093] Step S71: obtaining the user's body shape parameters through the survey questions;

[0094] Step S72: obtaining a three-dimensional human body model that matches the body shape parameters in a preset model library, and obtaining human body feature points in the three-dimensional human body model;

[0095] Step S73: Segmenting the three-dimensional human body model according to the human body feature points to obtain information of multiple human body parts;

[0096] Step S74: determining the height ratio and girth information of the user according to the body shape parameters, and obtaining target body information corresponding to each part of the user according to the height ratio, the girth information and the individual body part information;

[0097] Step S75: Obtain the user's clothing design standard size based on the target body information corresponding to each part of the user.

[0098] By obtaining a three-dimensional human body model corresponding to the target user's body parameters, the final size can be made more standardized, ensuring that the designed clothing is more suitable for the target user. Furthermore, by obtaining the target human body information of each part of the target user, the target user's human body information at each part can be accurately evaluated based on the preset human body part information of the three-dimensional human body model combined with the target user's height ratio and circumference information, thereby ensuring the accuracy and practicality of the evaluation results.

[0099] In one embodiment of the present invention, after step S75, the following steps are included:

[0100] Step S76: using the selected at least one clothing design picture as a target clothing design picture;

[0101] Step S77: Rendering the target clothing design image according to the user's clothing design standard size.

[0102] The target garment design image is the one selected by the user and rendered according to the user's garment design size standards, ensuring the design fully matches the user's body shape, size, and design requirements, providing a more personalized experience. By rendering the garment design image at its actual size, users can more intuitively see how the garment will look on them, increasing the practicality of the design.

[0103] See also Figure 4 The present invention also provides a personalized clothing design device, the personalized clothing design device comprising:

[0104] An information acquisition module 401 is configured to acquire the user's design request, the first region, and the second region through survey questions;

[0105] A first calculation module 402, the first calculation module 402 is used to generate a plurality of clothing design pictures according to the design request;

[0106] Analysis module 403, the analysis module 103 is used to:

[0107] Counting multiple clothing products of the first category in the first area, extracting common features of the multiple clothing products of the first category, and obtaining a first target feature;

[0108] Counting multiple clothing products of the second category in the second area, extracting common features of the multiple clothing products of the second category, and obtaining second target features;

[0109] The second calculation module 404 is configured to:

[0110] Calculating a first feature similarity between a feature corresponding to each of the plurality of clothing design images and the first target feature, and sending at least one clothing design image having the highest first feature similarity to the client;

[0111] The second feature similarity between the feature corresponding to each of the plurality of clothing design images and the second target feature is calculated, and at least one clothing design image with the highest second feature similarity is sent to the client.

[0112] The personalized clothing design device provided in the embodiments of the present application utilizes the personalized clothing design method of the aforementioned embodiments to generate clothing with specified design features based on demand. Compared to the prior art, the beneficial effects of the personalized clothing design device provided in the embodiments of the present application are the same as those of the personalized clothing design method provided in the aforementioned embodiments. Other technical features of the personalized clothing design device are the same as those disclosed in the aforementioned embodiments and are not further described here.

[0113] See also Figure 5 The present invention also provides a computer device, which includes a memory, a processor, and a personalized clothing design program stored in the memory and executable on the processor, wherein the personalized clothing design program is configured to implement the steps of the personalized clothing design method described above.

[0114] The method performed by the personalized clothing design device disclosed in the embodiments of the present application can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by hardware integrated logic circuits in the processor or software instructions. The above processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The various methods, steps, and logic block diagrams disclosed in one or more embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in conjunction with one or more embodiments of the present application can be directly implemented as a hardware decoding processor or performed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in the memory, and the processor reads the information in the memory and, in conjunction with its hardware, completes the steps of the above method.

[0115] The storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the personalized clothing design method described above, capable of generating clothing with specified design features according to requirements. Compared to the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the personalized clothing design method provided in the above-mentioned embodiment, and are not further elaborated here.

[0116] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0117] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0118] The above description is merely an exemplary embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural transformation made by utilizing the contents of the present invention's description and drawings under the technical concept of the present invention, or directly / indirectly applied in other related technical fields, is included in the patent protection scope of the present invention.

Claims

1. A personalized clothing design method, characterized in that: include: Obtain user design requests, first area, and second area through survey questions; generating a plurality of clothing design images according to the design request; Counting a plurality of first-category clothing products popular in the first region, extracting common features of the plurality of first-category clothing products, and obtaining a first target feature; Counting multiple second-category clothing products popular in the second region, extracting common features of the multiple second-category clothing products, and obtaining second target features; Calculating a first feature similarity between a feature corresponding to each of the plurality of clothing design images and the first target feature, and sending at least one clothing design image having the highest first feature similarity to the client; Calculating a second feature similarity between a feature corresponding to each of the plurality of clothing design images and the second target feature, and sending at least one clothing design image having the highest second feature similarity to the client; The first area is the area where the user is located, and the second area is the area with the highest sales volume of the clothing category corresponding to the design request.

2. The personalized clothing design method according to claim 1, wherein: After the step of obtaining the user's design request, the first area, and the second area through survey questions, the following steps are performed: determining whether the first area and the second area are the same area; If so, the region with the second highest sales volume of the clothing category corresponding to the design request is selected as the new second region.

3. The personalized clothing design method according to claim 1, wherein: The step of counting a plurality of first-category clothing products in the first region includes: Obtaining sales records of clothing products in the first region from a third-party server, and counting sales of clothing products in the clothing category corresponding to the design request within a current time period; A plurality of clothing products with the highest sales volume are selected as a plurality of clothing products of the first category.

4. The personalized clothing design method according to claim 1, wherein: The step of counting a plurality of second-category clothing products in the second area includes: Obtaining sales records of clothing products in the second region from a third-party server, and counting sales of clothing products in the clothing category corresponding to the design request within a current time period; A plurality of clothing products with the highest sales volume are selected as a plurality of clothing products of the second category.

5. The personalized clothing design method according to claim 1, wherein: The personalized clothing design method also includes: Obtaining the user's body parameters through the survey questions; Obtaining a three-dimensional human body model that matches the body shape parameters from a preset model library, and obtaining human body feature points in the three-dimensional human body model; Segmenting the three-dimensional human body model according to the human body feature points to obtain information of multiple human body parts; Determine the height ratio and girth information of the user according to the body shape parameters, and obtain target body information corresponding to each part of the user according to the height ratio, the girth information and the personal body part information; The user's clothing design standard size is obtained based on the target human body information corresponding to each part of the user.

6. The personalized clothing design method according to claim 5, characterized in that: After obtaining the user's clothing design standard size according to the target body information corresponding to each part of the user, the method further includes: using the selected at least one clothing design picture as a target clothing design picture; The target clothing design image is rendered according to the user's clothing design standard size.

7. A personalized clothing design device, characterized in that: The personalized clothing design device comprises: An information acquisition module, configured to obtain the user's design request, the first area, and the second area through survey questions; a first calculation module, configured to generate a plurality of clothing design images according to the design request; An analysis module, wherein the analysis module is used to: Counting multiple clothing products of the first category in the first area, extracting common features of the multiple clothing products of the first category, and obtaining a first target feature; Counting multiple clothing products of the second category in the second area, extracting common features of the multiple clothing products of the second category, and obtaining second target features; A second calculation module, wherein the second calculation module is configured to: Calculating a first feature similarity between a feature corresponding to each of the plurality of clothing design images and the first target feature, and sending at least one clothing design image having the highest first feature similarity to the client; Calculating a second feature similarity between a feature corresponding to each of the plurality of clothing design images and the second target feature, and sending at least one clothing design image having the highest second feature similarity to the client; The first area is the area where the user is located, and the second area is the area with the highest sales volume of the clothing category corresponding to the design request.

8. A computer device, characterized in that: The device includes: a memory, a processor, and a personalized clothing design program stored in the memory and executable on the processor, wherein the personalized clothing design program is configured to implement the steps of the personalized clothing design method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium stores a personalized clothing design program, which, when executed by a processor, implements the steps of the personalized clothing design method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the personalized clothing design method according to any one of claims 1 to 6 are implemented.

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