Custom image generation method for clothing order

Abstract

The invention relates to the field of clothing, in particular to a customizable image generation method for clothing orders, which comprises the following steps: acquiring initial style data of clothing and generating a clothing database; obtaining body type parameters of a user, and performing matching in a clothing database based on the body type parameters to obtain a to-be-selected clothing group; obtaining a target garment selected by the user in the to-be-selected garment group, and obtaining an adjustment parameter of the user for the target garment; adjusting and decomposing the target garment based on the adjustment parameter to generate a garment pattern; and generating a clothing order based on the clothing pattern. Customers can obtain customized clothes completely meeting the requirements of themselves according to personal preferences and body characteristics. According to the method, the customer satisfaction is improved, and meanwhile, the problem of stock overstock in a traditional batch production mode is also reduced.

Description

Technical Field

[0001] The present invention relates to the field of clothing, and in particular to a customizable image generation method for clothing orders. Background Art

[0002] At present, the general process of purchasing clothes is to first determine your own needs, including the style, color, size and other information of the required clothes, and then browse and compare through online e-commerce platforms, physical stores, brand official websites and other channels to select clothes that meet your needs. In the selection process, you can refer to user reviews, sales volume, brand reputation and other factors. After confirming the purchase, place an order and pay. Online shopping requires waiting for express delivery to your door, while offline shopping can be tried on and taken away directly. After receiving the goods, try them on and complete the purchase if you confirm that they are suitable. If they are not suitable, return them according to the merchant's return and exchange policy.

[0003] In this mode, clothing is of uniform size, which may cause some clothes to not fit properly, thus reducing the actual aesthetic effect of the clothes. Summary of the invention

[0004] The purpose of the present invention is to provide a customizable image generation method for clothing orders, aiming to obtain customized clothing that fully meets one's own needs based on personal preferences and body characteristics, thereby improving customer satisfaction.

[0005] To achieve the above-mentioned object, the present invention provides a customizable image generation method for clothing orders, comprising obtaining initial style data of clothing and generating a clothing database;

[0006] Obtaining the user's body parameters, and matching them in the clothing database based on the body parameters to obtain a group of clothing to be selected;

[0007] Obtain the target garment selected by the user from the group of garments to be selected, and obtain the adjustment parameters of the target garment by the user;

[0008] Adjust the target garment based on the adjustment parameters and decompose and generate a garment pattern;

[0009] Generate clothing orders based on garment patterns.

[0010] The specific steps of obtaining the initial style data of clothing and generating a clothing database include:

[0011] Import predefined clothing templates through API;

[0012] Use parametric technology to automatically generate clothing styles through set parameter values;

[0013] Build a database containing a variety of clothing styles.

[0014] The specific steps of automatically generating clothing styles by using parameterization technology through set parameter values ​​include:

[0015] Identify adjustable nodes on the generated basic clothing model;

[0016] Define the adjustment range and segment value for each adjustable node;

[0017] Automatically generate clothing styles based on the combination of segment values ​​of various adjustable nodes.

[0018] The adjustable nodes include neckline, cuffs, waist, hips, shoulder width and trouser length.

[0019] The specific steps of obtaining the user's body parameters and matching in the clothing database based on the body parameters to obtain the clothing group to be selected include:

[0020] A collection of body shape data with marked shapes;

[0021] Scale the value of each body shape parameter to between 0 and 1;

[0022] For each matching sample, calculate the distance between it and all samples in the clothing database;

[0023] For each matching sample, find the K nearest training samples;

[0024] For these K nearest neighbors, count the number of times each version appears;

[0025] The pattern that appears most often is taken as the predicted pattern for the matching sample.

[0026] The specific steps of obtaining the user's body parameters include:

[0027] Provide the user with a form for inputting parameters;

[0028] Check whether the data format entered by the user is correct and within a reasonable range;

[0029] Allows the user to double-check that the input parameters are correct and generate body measurement data.

[0030] The specific steps of adjusting the target garment based on the adjustment parameters and decomposing and generating the garment pattern include:

[0031] Split the customized clothing model into its components

[0032] Generate corresponding paper samples based on each component;

[0033] The paper patterns of each part are adjusted according to the needs of the user to obtain the clothing layout.

[0034] The specific steps of generating a clothing order based on a clothing pattern include:

[0035] Determine fabrics and accessories according to user's choice;

[0036] Generates production instructions for tailoring factories;

[0037] All information is consolidated into one order file that includes customer information, product details, and production instructions.

[0038] A customizable image generation method for clothing orders of the present invention comprises: obtaining initial style data of clothing and generating a clothing database; obtaining body shape parameters of a user, and matching in the clothing database based on the body shape parameters to obtain a group of clothing to be selected; obtaining a target clothing selected by the user in the group of clothing to be selected, and obtaining the adjustment parameters of the target clothing by the user; adjusting the target clothing based on the adjustment parameters and decomposing and generating a clothing pattern; and generating a clothing order based on the clothing pattern. Specifically, a plurality of clothing design drawings or models of different styles, colors and materials are collected. Then, these design drawings are converted into digital data forms, including but not limited to 3D models, plane design drawings, etc., using special software or technical means. Then, a clothing database is established, in which all available clothing design styles and their related size specifications, material attributes, etc. are stored. Each clothing is classified and labeled for subsequent retrieval and screening. Users use online measurement tools or submit their own body size data (such as height, weight, waist circumference, chest circumference, etc.).

[0039] The system uses an algorithm to analyze the user's body parameters and compares them with the size specifications in the clothing database. After that, clothing styles that are suitable for the user's body characteristics are selected from the database to form a group of clothing to be selected. The user selects the clothing style of his or her preference from the group of clothing to be selected. An interactive interface can be provided to allow users to personalize the selected clothing, such as changing the color, adding patterns, changing the collar and sleeve types, etc. The user submits the required adjustment parameters, and the system records these customized options. Then, using computer-aided design (CAD) software or a dedicated image generation algorithm, the selected clothing is virtually modified according to the user's adjustment parameters. A 3D model or plan view of the adjusted clothing is generated. The adjusted design drawing is further decomposed into specific cutting templates and sewing guidelines, the so-called clothing pattern, and the finalized clothing pattern and all related details are integrated into a complete order document. The order document includes all necessary production information such as clothing style, size specifications, fabric requirements, special process requirements, etc. Send the order document to the manufacturer to start the production process of customized clothing. Through this process, customers can obtain customized clothing that fully meets their needs based on their personal preferences and physical characteristics. This approach not only improves customer satisfaction, but also reduces inventory backlog problems in traditional mass production models. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 these drawings without paying creative work.

[0041] Figure 1 It is a flowchart of a customizable image generation method for clothing orders according to the first embodiment of the present invention.

[0042] Figure 2 It is a flowchart of acquiring initial style data of clothing and generating a clothing database according to the first embodiment of the present invention.

[0043] Figure 3 This is a flow chart of the first embodiment of the present invention for automatically generating clothing styles by using parameterized technology through set parameter values.

[0044] Figure 4 This is a flowchart of the first embodiment of the present invention for obtaining the body parameters of the user, and matching in the clothing database based on the body parameters to obtain a group of clothing to be selected.

[0045] Figure 5 It is a flowchart of obtaining the body shape parameters of a user according to the first embodiment of the present invention.

[0046] Figure 6 This is a flow chart of adjusting the target garment based on the adjustment parameters and decomposing and generating the garment-making pattern according to the first embodiment of the present invention.

[0047] Figure 7 This is a flow chart of generating a clothing order based on a clothing pattern according to the first embodiment of the present invention. DETAILED DESCRIPTION

[0048] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0049] First embodiment

[0050] See also Figure 1 to Figure 7 The present invention provides a customizable image generation method for clothing orders, comprising:

[0051] S101 obtains initial style data of clothing and generates a clothing database;

[0052] The goal of this phase is to create a database containing a variety of clothing styles, and the specific steps include: S201 importing pre-defined clothing templates through the API;

[0053] Develop or select an API interface for importing garment templates. Import predefined garment templates into the system through API calls. These templates can be 3D models or 2D drawings, and contain basic pattern and design elements. Ensure that the imported templates meet quality requirements and have no obvious errors or missing parts.

[0054] S202 automatically generates clothing styles by using parameterization technology according to set parameter values;

[0055] The task of this stage is to automatically generate new clothing styles by adjusting parameters based on the imported clothing templates. The specific steps include:

[0056] S301 identifies adjustable nodes on the generated basic clothing model;

[0057] The adjustable nodes include neckline, cuffs, waist circumference, hip circumference, shoulder width and trouser length.

[0058] Determine which parts can be adjusted on the basic clothing model, such as neckline, cuffs, waist, hips, shoulder width and trouser length, etc. Clearly mark the locations of these adjustable nodes on the 3D model or 2D drawing.

[0059] S302 defines an adjustment range and a segment value for each adjustable node;

[0060] Set a reasonable adjustment range for each adjustable node, for example, the neckline size can be adjusted from 35cm to 45cm. Divide each adjustment range into several segment values, for example, each increase of 1cm is a segment value.

[0061] S303 automatically generates a clothing style based on the combination of segment values ​​of each adjustable node.

[0062] Combine all segment values ​​of each adjustable node to form different configurations. Based on different configurations, new clothing styles are automatically generated using parametric technology.

[0063] S203 establishes a database containing multiple clothing styles.

[0064] Store the generated clothing styles in a database. Categorize and organize clothing styles according to style, size, or other attributes. Develop corresponding query functions to quickly retrieve the required clothing styles.

[0065] S102: obtaining the user's body parameters, and matching the body parameters in a clothing database to obtain a group of clothing to be selected;

[0066] The specific steps of obtaining the user's body shape parameters include:

[0067] S501 provides a parameter input form for the user;

[0068] Create an easy-to-fill form that contains all the necessary body measurements, such as height, weight, chest, waist, hips, etc. Include a detailed guide to help users accurately measure and record their body measurements. Make sure the form is user-friendly and easy to understand and use.

[0069] S502 detects whether the data format input by the user is correct and whether it is within a reasonable range;

[0070] Check whether the data format submitted by the user is in the expected format (e.g., numeric format) and ensure that all required fields are filled in. Verify whether the data entered by the user is within the reasonable range of normal anthropometric values ​​to avoid outliers affecting the subsequent matching process.

[0071] S503 allows the user to check again whether the input parameters are correct and generate body measurement data.

[0072] Provide users with a confirmation interface to allow them to double-check the data they entered. Once the user confirms that it is correct, the system will generate a complete body measurement data file.

[0073] The specific steps of matching in the clothing database based on the body shape parameters to obtain the clothing group to be selected include:

[0074] S401 scales the value of each body shape parameter to between 0 and 1 to obtain a matching sample;

[0075] The user's body shape parameter values ​​are scaled to between 0 and 1 using appropriate mathematical methods (such as min-max scaling or Z-score normalization) to eliminate dimension effects and make different parameters comparable.

[0076] S402, for each matching sample, calculates the distance between it and all samples in the clothing database;

[0077] Choose a suitable distance metric (such as Euclidean distance, Manhattan distance, etc.) to calculate the difference between the user's body parameters and each record in the database. For each user parameter, traverse all records in the database and calculate the distance to each record.

[0078] S403: for each matching sample, find the K training samples with the closest distance;

[0079] Choose a suitable K value according to the actual situation, which determines how many nearest neighbors will be considered to decide the recommended clothing style. Find the records corresponding to the smallest K distances from all calculated distances.

[0080] S404 counts the number of times each version appears for the K nearest neighbors;

[0081] Check the number of times each version appears in the K nearest neighbors. Record the frequency of each version.

[0082] S405 uses the pattern that appears most frequently as the predicted pattern of the matching sample.

[0083] The pattern with the most appearances is selected as the pattern recommended to the user. According to the recommended pattern, the corresponding clothing styles are screened out in the clothing database to form a group of clothing to be selected for the user to choose.

[0084] S103 obtains the target garment selected by the user from the group of garments to be selected, and obtains adjustment parameters of the target garment by the user;

[0085] The group of clothing to be selected generated in step S102 is displayed on the user interface. These clothing have been preliminarily matched according to the user's body parameters. It is necessary to include detailed information such as pictures, pattern characteristics, fabric information, price, etc. of each clothing so that users can make choices. Users can select one or more clothing from the displayed group of clothing to be selected as target clothing. The user interface should be concise and easy to operate, so that users can quickly locate the products they are interested in. After the user completes the selection, the system provides a confirmation interface, listing all the target clothing selected by the user and their basic information.

[0086] The system presents a series of adjustment options to the user, such as length, sleeve length, neckline style, waist tightness, etc. The adjustment options should be customized according to the characteristics of the target garment to ensure that the user can get the best wearing experience. The user can specify the adjustment requirements for the target garment by filling in a form, sliding bars or other interactive methods. The user interface should clearly indicate which parameters can be adjusted and give reasonable ranges or recommended values.

[0087] S104 adjusts the target garment based on the adjustment parameters and decomposes and generates a garment pattern;

[0088] The specific steps include:

[0089] S601 splits the customized clothing model into its components

[0090] According to the target garment selected by the user in step S103 and its adjustment parameters, the system obtains the final customized garment model. The customized garment model is split into different components, such as the front piece, the back piece, the sleeves, the neckline, etc., using professional garment design software or algorithms.

[0091] When disassembling, consider the structure and stitching of the garment to ensure that each component can be made independently and is easy to assemble later.

[0092] Number each component and record important information such as size, shape, material, etc. to facilitate subsequent paper pattern making.

[0093] S602 generates corresponding paper samples based on each component;

[0094] Choose the appropriate pattern template according to the type of component. The template should meet the basic requirements of clothing design, such as size proportion, smoothness of lines, etc.

[0095] Using the clothing CAD (Computer-Aided Design) system, the pattern is automatically or semi-automatically generated based on the information of each component.

[0096] This process involves calculating the exact size and shape of each component as well as the necessary marking lines.

[0097] The generated paper samples are saved in electronic file format for subsequent printing and use.

[0098] S603 adjusts the paper patterns of various parts according to the needs of the user to obtain a garment making pattern.

[0099] Open the pattern file generated in step S602 in the CAD system.

[0100] The paper sample is fine-tuned manually or automatically according to the adjustment parameters provided by the user in step S103.

[0101] Adjustments include but are not limited to length, width, curve shape, etc., to ensure that the final pattern fully meets the user's customization requirements. After adjustment, check the fit between all patterns to ensure that they can be seamlessly connected to form a complete garment. After all adjustments are completed, the final garment layout is output, including all component patterns and necessary documentation.

[0102] These patterns will be used to guide the cutting and sewing process.

[0103] S105 generates a clothing order based on the clothing pattern.

[0104] The specific steps include:

[0105] S701 determines fabrics and accessories according to user's selection;

[0106] Ensure the selected fabric is consistent with the user's expectations based on the fabric type and color selected by the user during the customization process.

[0107] According to the characteristics of the selected fabric and the style of the clothing, select suitable buttons, zippers, linings and other accessories to ensure that the accessories are coordinated with the fabric style.

[0108] Record the detailed information of the selected fabrics and accessories, including material, color, supplier information, etc., for subsequent procurement and production.

[0109] S702 generates production instructions for the tailor factory;

[0110] The garment pattern generated in step S104 is loaded, including the patterns of all components and necessary adjustment parameters.

[0111] Prepare detailed production instruction documents for the tailoring factory, which should include the following: Pattern diagrams and numbers of each component. Instructions for the use of fabrics and accessories. Guidance on sewing sequence and method. Requirements for special processing. Quality standards for finished products.

[0112] After completing the production documentation, an internal review is conducted to ensure that all details are accurate and to avoid errors during the production process.

[0113] S703 integrates all information into an order file, which includes customer information, product details and production instructions.

[0114] Collect all relevant information, including but not limited to: the user's personal information (name, contact information, address, etc.), detailed description of the product (style, size, fabric, accessories, etc.), production instruction documents and special requirements or notes.

[0115] Create a comprehensive order document that contains all of the above information to ensure that the tailoring factory has a complete understanding of the order requirements. Perform a final review of the order document to ensure that all information is correct. Send the approved order document to the tailoring factory to start the production process.

[0116] What is disclosed above is only a preferred embodiment of the present invention, and it certainly cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made according to the claims of the present invention still fall within the scope of the invention.

Claims

1. A customizable image generation method for clothing orders, wherein the body shape parameters are: include: Obtaining initial style data of clothing and generating a clothing database; Obtaining the user's body parameters, and matching them in the clothing database based on the body parameters to obtain a group of clothing to be selected; Obtain the target garment selected by the user from the group of garments to be selected, and obtain the adjustment parameters of the target garment by the user; Adjust the target garment based on the adjustment parameters and decompose and generate a garment pattern; Generate clothing orders based on garment patterns.

2. A customizable image generation method for clothing orders as claimed in claim 1, wherein the body shape parameters are: The specific steps of obtaining the initial style data of clothing and generating a clothing database include: Import predefined clothing templates through API; Use parametric technology to automatically generate clothing styles through set parameter values; Build a database containing a variety of clothing styles.

3. A customizable image generation method for clothing orders as claimed in claim 2, wherein the body shape parameters are: The specific steps of automatically generating clothing styles by using parameterization technology through set parameter values ​​include: Identify adjustable nodes on the generated basic clothing model; Define the adjustment range and segment value for each adjustable node; Automatically generate clothing styles based on the combination of segment values ​​of various adjustable nodes.

4. A customizable image generation method for clothing orders as claimed in claim 3, wherein the body shape parameters are: The adjustable nodes include neckline, cuffs, waist circumference, hip circumference, shoulder width and trouser length.

5. A customizable image generation method for clothing orders as claimed in claim 4, wherein the body shape parameters are: The specific steps of obtaining the user's body parameters and matching in the clothing database based on the body parameters to obtain the clothing group to be selected include: A collection of body shape data with marked shapes; Scale the value of each body shape parameter to between 0 and 1; For each matching sample, calculate the distance between it and all samples in the clothing database; For each matching sample, find the K nearest training samples; For these K nearest neighbors, count the number of times each version appears; The pattern that appears most often is taken as the predicted pattern for the matching sample.

6. A customizable image generation method for clothing orders as claimed in claim 5, wherein the body shape parameters are: The specific steps of obtaining the user's body shape parameters include: Provide the user with a form for inputting parameters; Check whether the data format entered by the user is correct and within a reasonable range; Allows the user to double-check that the input parameters are correct and generate body measurement data.

7. A customizable image generation method for clothing orders as claimed in claim 6, wherein the body shape parameters are: The specific steps of adjusting the target garment based on the adjustment parameters and decomposing and generating the garment pattern include: Split the customized clothing model into its components; Generate corresponding paper samples based on each component; The paper patterns of each part are adjusted according to the needs of the user to obtain the clothing layout.

8. A customizable image generation method for clothing orders as claimed in claim 7, wherein the body shape parameters are: The specific steps of generating a clothing order based on a clothing pattern include: Determine fabrics and accessories according to user's choice; Generates production instructions for tailoring factories; All information is consolidated into one order file that includes customer information, product details, and production instructions.

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