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

Abstract

The application discloses a kind of personalized clothing design method, device, equipment, storage medium and product, it is related to clothing design technical field, wherein, personalized clothing design method includes obtaining the design request of user, first area and second area by investigation problem;According to the design request generates multiple clothing design pictures;Get first target feature;Get second target feature;Calculate the first feature similarity of each picture in multiple clothing design pictures corresponding feature and first target feature, at least one clothing design picture with highest first feature similarity is sent to client;Calculate the second feature similarity of each picture in multiple clothing design pictures corresponding feature and second target feature, at least one clothing design picture with highest second feature similarity is sent to client;The technical scheme provided by the application can generate the clothing of specified design point according to demand.

Description

TECHNICAL FIELD

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

[0002] With the growing demand for personalization, the clothing industry is facing unprecedented challenges and opportunities. In the field of clothing design, traditional design methods often rely on the personal experience and intuition of designers. Although this method can produce unique designs, it has obvious limitations in efficiency, cost control and market response speed. In related technologies, very realistic and high-resolution clothing images are generated through generative adversarial networks (GAN) technology or other technologies, but these methods lack controllability, i.e., it is difficult to control the generation of clothing with specified design points. SUMMARY

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

[0004] To achieve the above-mentioned purpose, the personalized clothing design method provided by the present application comprises:

[0005] Obtain the design request, the first area and the second area of the user through investigation;

[0006] Generate a plurality of clothing design pictures according to the design request;

[0007] Statistical a plurality of first type of clothing commodities popular in the first area, extract common features of a plurality of first type of clothing commodities, and obtain first target features;

[0008] Statistical a plurality of second type of clothing commodities popular in the second area, extract common features of a plurality of second type of clothing commodities, and obtain second target features;

[0009] Calculate the first feature similarity between the corresponding features of each picture in the plurality of clothing design pictures and the first target features, and send at least one clothing design picture with the highest first feature similarity to the client;

[0010] Calculate the second feature similarity between the corresponding features of each picture in the plurality of clothing design pictures and the second target features, and send at least one clothing design picture with 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 an embodiment, the step of obtaining the design request, the first region and the second region of the user through the investigation question comprises:

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

[0014] if yes, selecting a region with the second highest sales volume of the clothing category corresponding to the design request as a new second region.

[0015] In an embodiment, the step of counting a plurality of first-type clothing items in the first region comprises:

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

[0017] selecting a plurality of clothing items with the highest sales volume as the plurality of first-type clothing items.

[0018] In an embodiment, the step of counting a plurality of second-type clothing items in the second region comprises:

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

[0020] selecting a plurality of clothing items with the highest sales volume as the plurality of second-type clothing items.

[0021] In an embodiment, the personalized clothing design method further comprises:

[0022] obtaining the body shape parameters of the user through the investigation question;

[0023] obtaining a three-dimensional human body model matched with 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 a plurality of body part information;

[0025] determining the height ratio and girth information of the user according to the body shape parameters, and obtaining target human body information corresponding to each part of the user according to the height ratio, the girth information and the body part information;

[0026] obtaining the clothing design standard size of the user according to the target human body information corresponding to each part of the user.

[0027] In an embodiment, after obtaining the standard size of the user's clothing design according to the target human body information corresponding to each part of the user, the method further comprises:

[0028] selecting at least one of the clothing design pictures as a target clothing design picture;

[0029] rendering the target clothing design picture according to the standard size of the user's clothing design.

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

[0031] An information acquisition module is configured to acquire the design request, the first area and the second area of the user through investigation questions;

[0032] A first calculation module is configured to generate a plurality of clothing design pictures according to the design request;

[0033] An analysis module is configured to:

[0034] count a plurality of first-type clothing commodities in the first area, extract common features of the plurality of first-type clothing commodities, and obtain first target features;

[0035] count a plurality of second-type clothing commodities in the second area, extract common features of the plurality of second-type clothing commodities, and obtain second target features;

[0036] A second calculation module is configured to:

[0037] calculate a first feature similarity between the features corresponding to each of the plurality of clothing design pictures and the first target features, and send at least one of the clothing design pictures with the highest first feature similarity to the client;

[0038] calculate a second feature similarity between the features corresponding to each of the plurality of clothing design pictures and the second target features, and send at least one of the clothing design pictures with 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 of the clothing category corresponding to the design request.

[0040] In addition, to achieve the above-mentioned purpose, the present application also provides a computer device, which comprises a memory, a processor and a personalized clothing design program stored in the memory and executable on the processor, and 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 object, the application further provides a storage medium, characterized in that the storage medium stores a personalized clothing design program, and the personalized clothing design program realizes the steps of the personalized clothing design method when executed by a processor.

[0042] In addition, to achieve the above object, the application further provides a computer program product, characterized in that the computer program product comprises a computer program, and the computer program realizes the steps of the personalized clothing design method when executed by a processor.

[0043] In the technical scheme of the application, the design request of the user can be obtained through the investigation question, the design is directly performed according to the specific demand of the user, the final design result is more in line with the individualized demand of the user, and therefore the user satisfaction is improved. By analyzing the clothing commodity features of the region where the user is located (the first region) and the region with the highest sales (the second region), the demand and preference of different regional markets can be better understood, and the designed clothing is more marketable. 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 demand and also has a high matching degree with popular commodity features, and therefore the clothing with specified design points can be generated according to the demand. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical scheme in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only show some embodiments of the application, and for those skilled in the art, other drawings can also be obtained from the drawings shown without creative labor.

[0045] Figure 1 The flowchart of an embodiment of the personalized clothing design method provided by the application is shown in the figure.

[0046] Figure 2 The flowchart of another embodiment of the personalized clothing design method provided by the application is shown in the figure.

[0047] Figure 3 The flowchart of still another embodiment of the personalized clothing design method provided by the application is shown in the figure.

[0048] Figure 4 The module structure diagram of an embodiment of the personalized clothing design device provided by the application is shown in the figure.

[0049] Figure 5 The structure diagram of an embodiment of the computer equipment provided by the application is shown in the figure.

[0050] Explanation of icon numbers:

[0051] 401. Information Acquisition Module; 402. First Calculation Module; 403. Analysis Module; 404. Second Calculation Module.

[0052] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0053] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are 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 positional relationship and movement of the components in a specific posture. If the specific posture changes, the directional indications will also change accordingly.

[0055] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the use of "and / or" or "and / or" throughout the text includes three parallel solutions. For example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied simultaneously. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

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

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

[0058] Step S10: Obtain the design request of the user, the first region and the second region through the investigation question;

[0059] Step S20: Generate a plurality of garment design pictures according to the design request;

[0060] Step S30: Count a plurality of first type of garment commodities popular in the first region, extract common features of the plurality of first type of garment commodities, and obtain first target features;

[0061] Step S40: Count a plurality of second type of garment commodities popular in the second region, extract common features of the plurality of second type of garment commodities, and obtain second target features;

[0062] Step S50: Calculate a first feature similarity between the features corresponding to each of the plurality of garment design pictures and the first target features, and send at least one garment design picture with the highest first feature similarity to the client;

[0063] Step S60: Calculate a second feature similarity between the features corresponding to each of the plurality of garment design pictures and the second target features, and send at least one garment design picture with the highest second feature similarity to the client.

[0064] The first region is the region where the user is located, and the second region is the region with the highest sales of the garment category corresponding to the design request. For example, the user is in Guangzhou, and the region with the highest sales of the garment category corresponding to the design request is Shenzhen. In this case, the first region is Guangzhou, and the second region is Shenzhen.

[0065] The design request includes garment type and garment style parameters. For example, the garment type can be a T-shirt, a skirt, shorts, etc., and the garment style parameters can be holes, water washing, Hepburn style, etc.

[0066] The investigation question includes garment type, garment style parameters, user location, user body shape parameters and other related questions. The design request, the first region, the second region, the user body shape parameters and other data can be obtained through the investigation question.

[0067] The clothing design picture can be produced by a pre-trained first model. The first model is trained with a known first clothing design picture as output and a clothing type and a clothing style parameter corresponding to the first clothing design picture as input. The known first clothing design picture can be obtained by using a crawler tool to crawl clothing data from e-commerce, shopping malls and fashion show data, using a classification network to classify the crawled images, using a semantic segmentation algorithm to remove background noise from the classified images, and then removing patterns and prints on the clothing to obtain a clean standard effect picture, i.e., the first clothing design picture. 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 steps S30 and S40 can be performed simultaneously after the first region and the second region are determined, and steps S50 and S60 can also be performed simultaneously.

[0069] In the technical scheme of the present application, the user's design request can be obtained through the investigation question, and the design is directly performed according to the specific needs of the user, so that the final design result is more in line with the personalized needs of the user, thereby improving the user satisfaction. By analyzing the clothing commodity characteristics of the region where the user is located (the first region) and the region with the highest sales (the second region), the needs and preferences of different regional markets can be better understood, and the designed clothing is more marketable. 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 demand while having a high matching degree with popular commodity characteristics, thereby generating clothing with specified design points according to the demand.

[0070] Please refer to Figure 2 In an embodiment of the present application, after step S10, the following steps are included:

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

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

[0073] It can be understood that in a specific case, the first region and the second region are the same, for example, the user is in Guangzhou at the same time as the design request corresponding to the highest sales region of the clothing category. At this time, the first region and the second region are the same, in order to avoid sample bias, in this case, by selecting the second highest sales region of the clothing category corresponding to the design request as a new second region, the first region and the second region can be ensured to be different, so that the market characteristics of different regions can be more comprehensively analyzed, and more diversified market demand can be designed. The clothing. In addition, more regions can also be set to increase the diversity of market data, for example, when the first region and the second region are not the same, the second and third regions of the clothing category corresponding to the design request are added as the third region to the fourth region. The third target feature and the fourth target feature can be obtained correspondingly, and more clothing design pictures that meet the popular trend can be provided for the user to select.

[0074] In an embodiment of the present application, step S30 comprises:

[0075] Step S31: Obtain the sales record of the clothing commodity in the third party server in the first region, and count the commodity sales of the clothing commodity corresponding to the design request in the clothing category in the current time period;

[0076] Step S32: Select a plurality of clothing commodities with the highest commodity sales as a plurality of first type clothing commodities.

[0077] The third party server can be a server of a clothing commodity sales platform, such as a server of a Taobao platform, a server of a Jingdong platform, etc. The current time period can be set according to the actual situation, such as the previous 1 month or 1 week of the current time. The clothing category can refer to the clothing type, for example, in the field of clothing design, a skirt can be considered as a category, a shirt can be considered as another category different from the category corresponding to the skirt, and therefore the clothing category corresponding to the design request can refer to the clothing type carried 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 previous week of the current time. The commodity sales of the clothing commodity corresponding to the design request in the clothing category in the current time period can be referred to as the sales of various skirts in the previous week.

[0079] After counting the commodity sales of the clothing commodity corresponding to the design request in the clothing category in the current time period, different styles of clothing commodities can be sorted by sales according to the clothing style, and then a plurality of clothing commodities with the highest commodity sales are selected as the first type clothing commodities. For example, the first 100 clothing commodities with the highest commodity sales can be selected as the first type clothing commodities, or the clothing commodities ranked in the top 1% in sales can be selected as the first type clothing commodities.

[0080] In an embodiment of the present application, step S40 comprises:

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

[0082] Step S42: Select the top-selling clothing items as the second type of clothing items.

[0083] The third-party server can be a server of a clothing item sales platform, such as a server of a Taobao platform or a server of a Jingdong platform. The current time period can be set according to actual conditions, such as the previous month or week of the current time. The clothing category can refer to the clothing type, for example, in the field of clothing design, a skirt can be considered as a category, and a shirt can be considered as another category different from the category corresponding to the skirt, so the clothing category corresponding to the design request can refer to the clothing type carried 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 previous week of the current time. Counting the sales of various skirts in the previous week can refer to counting the sales of various skirts in the previous week.

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

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

[0087] When extracting the common features of the first type of clothing items or the second type of clothing items, the pictures of the first type of clothing items or the second type of clothing items can be taken as the input of the pre-trained second model for operation, and the feature vectors output by the last two layers of the second model can be spliced to obtain a plurality of initial features corresponding to the first type of clothing items or the second type of clothing items. Then the common feature vectors in the plurality of initial features are extracted to obtain the target feature, which is the common feature of the first type of clothing items or the second type of clothing items.

[0088] For example, there are three clothing items, denoted as clothing item A, clothing item B and clothing item C, respectively. When the picture of clothing item A is taken as the input of the second model for operation, the feature vectors output by the last two layers of the second model are a1 and a2, respectively. When the picture of clothing item B is taken as the input of the second model for operation, the feature vectors output by the last two layers of the second model are b1 and b2, respectively. When the picture of clothing item C is taken as the input of the second model for operation, the feature vectors output by the last two layers of the second model are c1 and c2, respectively. Then, the feature vectors a1 and a2 can be spliced to obtain a feature vector a3, the feature vectors b1 and b2 can be spliced to obtain a feature vector b3, and the feature vectors c1 and c2 can be spliced to obtain a feature vector c3. Then, the common feature vectors in the feature vectors a3, b3 and c3 are extracted to obtain the target feature.

[0089] In the embodiments of the present application, the second clothing design picture can be the first clothing design picture described above, or a clothing design picture obtained in the manner of obtaining the first clothing design picture described above. In the embodiments of the present application, no specific limitation is made.

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

[0091] In the embodiments of the present application, when calculating the feature similarity between the feature corresponding to each picture and the first target feature or the second target feature, the KL (Kullback Leibler) distance, the JS (Jensen Shannon) distance or the cosine distance between the features can be calculated, and then the similarity between the features can be obtained by performing weighted operation according to the weights after normalization. This is a prior art, and no specific description is made in the embodiments of the present application.

[0092] Please refer to Figure 3 In an embodiment of the present application, the personalized clothing design method further includes the following steps:

[0093] Step S71: Obtain the body shape parameters of the user through the investigation question;

[0094] Step S72: Obtain a three-dimensional human body model matched with the body shape parameters from a preset model library, and obtain the human feature points in the three-dimensional human body model;

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

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

[0097] Step S75: obtaining the clothing design standard size of the user according to the target human body information corresponding to each part of the user.

[0098] By obtaining the three-dimensional human body model corresponding to the body shape parameters of the target user, the final size can be more standardized, and the designed clothing can be more fitted for the target user. Further, by obtaining the target human body information of each part of the target user, the target human body information of the target user at each part can be accurately evaluated according to the preset human body part information of the three-dimensional human body model combined with the height proportion and girth information of the target user, thereby ensuring the accuracy and practicality of the evaluation result.

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

[0100] Step S76: selecting at least one of the clothing design pictures as a target clothing design picture;

[0101] Step S77: rendering the target clothing design picture according to the clothing design standard size of the user.

[0102] The target clothing design picture is a clothing design picture selected by the user, which is rendered according to the clothing design size standard of the user, so as to ensure that the design picture completely meets the body shape, size and design requirements of the user, and provides a more personalized experience. The actual size of the clothing design picture obtained by rendering can be more intuitively seen by the user, thereby increasing the practicality of the design.

[0103] Please refer to Figure 4 The present application also provides a personalized clothing design device, which comprises:

[0104] An information acquisition module 401 is configured to acquire the design request, the first area and the second area of the user by investigating questions;

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

[0106] An analysis module 403 is configured to:

[0107] count a plurality of first type clothing commodities in the first area, extract common features of the plurality of first type clothing commodities, and obtain first target features;

[0108] Count a plurality of second type clothing commodities in the second region, extract common features of the plurality of second type clothing commodities to obtain a second target feature;

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

[0110] Calculate a first feature similarity between the feature corresponding to each of the plurality of clothing design pictures and the first target feature, and send at least one clothing design picture with the highest first feature similarity to the client;

[0111] Calculate a second feature similarity between the feature corresponding to each of the plurality of clothing design pictures and the second target feature, and send at least one clothing design picture with the highest second feature similarity to the client.

[0112] The personalized clothing design device provided by the embodiments of the present application can generate clothing with specified design points according to requirements by using the personalized clothing design method in the above embodiments. Compared with the prior art, the personalized clothing design device provided by the embodiments of the present application has the same beneficial effects as the personalized clothing design method provided by the above embodiments, and other technical features in the personalized clothing design device are the same as the features disclosed in the above embodiments, which will not be repeated here.

[0113] Please refer to Figure 5 The present application also provides a computer device, which comprises a memory, a processor, and a personalized clothing design program stored in the memory and executable on the processor, and the personalized clothing design program is configured to implement the steps of the personalized clothing design method as 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 the processor. The processor can be an integrated circuit chip with a processing capability. In the implementation process, each step of the method can be completed by an integrated logic circuit in hardware or an instruction in software form in the processor. The processor can be a general processor, including a central processing unit (CPU), a network processor (NP), etc.; or 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, discrete hardware components. Each method, step and logic block disclosed in one or more embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or any conventional processor. The steps of the method disclosed in combination with one or more embodiments of the present application can be directly embodied as a hardware code processor for execution, or a combination of hardware and software modules in the code processor for execution. The software module can be located in a random memory, a flash memory, a read-only memory, a programmable read-only memory, an electrically erasable programmable memory, a register or other mature storage medium in the art. The storage medium is located in the memory, and the processor reads the information in the memory and combines the hardware to complete the steps of the above method.

[0115] The storage medium provided by the present application is a computer readable storage medium, which stores computer readable program instructions (i.e. computer programs) for executing the above personalized clothing design method, and can generate clothing with specified design points according to demand. Compared with the prior art, the computer readable storage medium provided by the present application has the same beneficial effects as the personalized clothing design method provided by the above embodiments, which will not be repeated here.

[0116] The computer readable storage medium provided by the present application may, for example, be a U disk, but is not limited to an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any combination thereof. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more conductive 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 the present embodiment, the computer readable storage medium can be any tangible medium containing or storing 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 can be transmitted by any suitable medium, including but not limited to an electrical wire, an optical cable, an 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 a computer software program. 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 containing program code for executing the method shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network through 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 embodiments of the present application are performed.

[0118] The above only describes exemplary embodiments of the present application, and does not limit the patent scope of the present application, and any equivalent structural transformation made by the contents of the present application specification and drawings, or direct / indirect application in other related technical fields is included in the patent protection scope of the present application.

Claims

1. A method of personalized garment design, characterized by, The application relates to a personalized clothing design method and device. Obtaining a design request, a first region and a second region of a user through investigation questions; Generating a plurality of clothing design pictures according to the design request; Counting a plurality of first-type clothing commodities popular in the first region, extracting common features of the plurality of first-type clothing commodities, and obtaining first target features; Counting a plurality of second-type clothing commodities popular in the second region, extracting common features of the plurality of second-type clothing commodities, and obtaining second target features; Calculating a first feature similarity between features corresponding to each of the clothing design pictures and the first target features, and sending at least one clothing design picture with the highest first feature similarity to a client; Calculating a second feature similarity between features corresponding to each of the clothing design pictures and the second target features, and sending at least one clothing design picture with the highest second feature similarity to the client; The first region is a region where the user is located, and the second region is a region with the highest sales volume of a clothing category corresponding to the design request; The step of obtaining the design request, the first region and the second region of the user through the investigation questions comprises: Determining whether the first region and the second region are the same region; If yes, selecting a region with the second highest sales volume of the clothing category corresponding to the design request as a new second region; The step of counting the plurality of first-type clothing commodities in the first region comprises: Obtaining sales records of clothing commodities in the first region in a third-party server, and counting commodity sales volumes of clothing commodities of a clothing category corresponding to the design request in a current time period; Selecting a plurality of clothing commodities with the highest commodity sales volumes as the plurality of first-type clothing commodities; The step of counting the plurality of second-type clothing commodities in the second region comprises: Obtaining sales records of clothing commodities in the second region in a third-party server, and counting commodity sales volumes of clothing commodities of a clothing category corresponding to the design request in a current time period; Selecting a plurality of clothing commodities with the highest commodity sales volumes as the plurality of second-type clothing commodities.

2. The personalized garment design method according to claim 1, wherein, The personalized clothing design method further comprises: Obtaining a body shape parameter of the user through the investigation questions; Obtaining a three-dimensional human body model matched with the body shape parameter in 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, and obtaining a plurality of human body part information; Determining a height ratio and girth information of the user according to the body shape parameter, and obtaining target human body information corresponding to each part of the user according to the height ratio, the girth information and the human body part information; Obtaining a clothing design standard size of the user according to the target human body information corresponding to each part of the user.

3. The personalized garment design method according to claim 2, wherein, After the step of obtaining the clothing design standard size of the user according to the target human body information corresponding to each part of the user, the method further comprises: Selecting at least one clothing design picture as a target clothing design picture; Rendering the target clothing design picture according to the clothing design standard size of the user.

4. An individualized garment design apparatus, characterized by, The personalized clothing design device comprises: An information acquisition module is configured to acquire a design request, a first region and a second region of a user by investigating a question; A first calculation module is configured to generate a plurality of garment design pictures according to the design request; An analysis module is configured to: count a plurality of first-type garment commodities in the first region, extract common features of the plurality of first-type garment commodities to obtain first target features; count a plurality of second-type garment commodities in the second region, extract common features of the plurality of second-type garment commodities to obtain second target features; A second calculation module is configured to: calculate a first feature similarity between features corresponding to each of the plurality of garment design pictures and the first target features, and send at least one garment design picture with the highest first feature similarity to a client; calculate a second feature similarity between features corresponding to each of the plurality of garment design pictures and the second target features, and send at least one garment design picture with the highest second feature similarity to the client; The first region is a region where the user is located, and the second region is a region with the highest sales volume of the garment category corresponding to the design request.

5. A computer device, comprising: The device comprises a memory, a processor, and a personalized garment design program stored on the memory and executable on the processor, and the personalized garment design program is configured to implement the steps of the personalized garment design method according to any one of claims 1 to 3.

6. A storage medium, characterized by The storage medium stores a personalized garment design program, and the personalized garment design program is executed by the processor to implement the steps of the personalized garment design method according to any one of claims 1 to 3.

7. A computer program product, characterised in that, The computer program product comprises a computer program, and the computer program is executed by the processor to implement the steps of the personalized garment design method according to any one of claims 1 to 3.

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