Individualized garment template generation method and system

Abstract

The invention relates to the technical field of costume designing and manufacturing, in particular to an individualized costume template generation method and system, and the method comprises the steps: obtaining the three-dimensional body shape data of a user; extracting size data of the target part from the three-dimensional body shape data; according to the size data, adjusting a universal sample plate of the preset target garment to generate a customized garment sample plate; generating a digital file of the customized garment template; and generating a processing order based on the digital file and the clothing material parameters. Therefore, the personalized garment template can be quickly generated to facilitate production of personalized garments, and the satisfaction degree of customers is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of clothing design and manufacturing, and in particular to a method and system for generating individualized clothing samples. Background Art

[0002] A garment pattern is an important tool in the garment design and production process. It refers to a cardboard or plastic template of actual size that is made according to the specific size and specifications of the design drawing or sample garment. Garment patterns are mainly used to guide the cutting of fabrics and ensure that the various parts of each garment can be accurately and painlessly pieced together. The pattern includes not only the main parts of the garment, such as the front, back, sleeves, etc., but also the details, such as pockets, collars, etc. Through accurate pattern making, production efficiency can be improved, the quality and consistency of the finished garment can be guaranteed, and it can also help designers adjust and improve the design before actual production.

[0003] Existing clothing samples are all of a unified standard, so that fixed-size clothing can be produced. However, this method cannot customize clothing according to the user's specific body shape, which can easily reduce customer satisfaction. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for generating an individualized clothing sample, aiming to quickly generate personalized clothing samples to facilitate the production of personalized clothing and improve customer satisfaction.

[0005] To achieve the above-mentioned object, in a first aspect, the present invention provides a method for generating an individualized clothing pattern, comprising obtaining three-dimensional body shape data of a user;

[0006] Extracting size data of target parts from three-dimensional body shape data;

[0007] Adjusting a general pattern of a preset target garment according to the size data to generate a customized garment pattern;

[0008] Generating a digital file of the customized garment sample;

[0009] Generate processing orders based on digital files and garment material parameters.

[0010] Wherein, the target parts include shoulder width, chest circumference, waist circumference and hip circumference.

[0011] The specific steps of obtaining the user's three-dimensional body data include:

[0012] Use a 3D scanning device to scan the user and obtain the user's point cloud data;

[0013] Processing point cloud data to remove noise and outliers;

[0014] The point cloud data is triangulated to form the surface of the three-dimensional model and obtain the three-dimensional shape data.

[0015] The specific steps of extracting the size data of the target part from the three-dimensional body shape data include: using the annotated three-dimensional model as training data to train the algorithm to recognize specific body parts

[0016] Extract key point features from the three-dimensional model, wherein the key point features include curvature and height;

[0017] Using key point features, support vector machine is used to detect the key point locations on the human body model;

[0018] Calculate the distance between key point positions to get the corresponding size.

[0019] The specific steps of adjusting the general sample of the preset target clothing according to the size data to generate a customized clothing sample include:

[0020] Select the most similar general template from the existing basic template library according to the customer's 3D body data;

[0021] Compare the actual measurements of the customer's target area with the calculated differences in dimensions of the universal template;

[0022] Use planimetric mapping to adjust the generic template based on calculated variances;

[0023] Corrected seam position and length on adjusted generic templates.

[0024] The specific steps of selecting the closest universal template from the existing basic template library according to the customer's three-dimensional body data include:

[0025] Get the customer's size data;

[0026] Make sure you have a base of patterns that cover different body shapes and sizes. Each pattern should have detailed measurement information, such as shoulder width, chest, waist, and hips;

[0027] Comparing the customer's size data with the general sample data in the sample library, each general sample having size information, the size information including shoulder width, chest circumference, waist circumference, and hip circumference;

[0028] By calculating the Euclidean distance between the customer's body shape and the universal template at the corresponding part, the calculated difference of each part is obtained;

[0029] Based on the calculated difference of each part, the matching score is obtained by setting weights for each part;

[0030] The template with the highest matching score is the closest common template.

[0031] The specific steps of correcting the position and length of the seams on the universal template after adjustment include:

[0032] Import the corrected and adjusted universal template into the CAD software;

[0033] Use the measurement tools in your CAD software to compare the customer's measurements to the standard dimensions on the template;

[0034] Calculate and adjust the position and length of the seams based on the measurement differences.

[0035] The specific steps of generating a processing order based on the digital file and clothing material parameters include:

[0036] Determine the quantity of garments to be produced based on customer orders;

[0037] Obtaining fabric information selected by the user, the fabric information including fabric type, color, texture, and weight;

[0038] Acquire the auxiliary material information selected by the user, wherein the auxiliary material information includes zippers, buttons, and decorations;

[0039] Use bill of materials software to calculate the amount of fabric and trims needed for each garment;

[0040] Create a bill of materials and generate a processing order based on the calculation results.

[0041] In a second aspect, the present invention also provides a personalized clothing sample generation system, including a data acquisition module, a size data calculation module, a sample adjustment module, a digital file generation module and an order generation module;

[0042] The data acquisition module is used to acquire the user's three-dimensional body data;

[0043] The size data calculation module is used to extract the size data of the target part from the three-dimensional body shape data;

[0044] The sample adjustment module is used to adjust the general sample of the preset target clothing according to the size data to generate a customized clothing sample;

[0045] The digital file generation module is used to generate a digital file of the customized clothing sample;

[0046] The order generation module is used to generate a processing order based on the digital file and clothing material parameters.

[0047] The invention discloses a method and system for generating an individualized clothing pattern, comprising: obtaining the three-dimensional body shape data of the user; extracting the size data of the target part from the three-dimensional body shape data; adjusting the universal pattern of the preset target clothing according to the size data to generate a customized clothing pattern; generating a digital file of the customized clothing pattern; and generating a processing order based on the digital file and clothing material parameters. The user's body is scanned in all directions by using scanning technology to collect detailed body shape information. These data can very accurately measure the size of each part of the body, such as shoulder width, chest circumference, waist circumference, etc. The user can also choose to use a special application or device at home to complete the scanning process by himself, and upload the data to a designated platform, extract the size of a specific part from the collected 3D data, these parts usually include but are not limited to key measurement points such as shoulders, chest, waist, hips and legs, use the obtained size data to compare and analyze with the preset universal clothing pattern, calculate the difference and make corresponding adjustments, and after the adjustment is completed, use the CAD system to generate the final customized clothing pattern digital file. These files contain all the necessary cutting and sewing information. After the digital files of the customized samples are generated, the final production instructions need to be determined in combination with the user's requirements for fabric material, color and other special requirements. In this way, personalized clothing samples can be quickly generated to facilitate the production of personalized clothing and improve customer satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] 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 any creative work.

[0049] Figure 1 This is a flow chart of a method for generating an individualized clothing pattern according to the first embodiment of the present invention.

[0050] Figure 2 FIG. 1 is a flowchart of obtaining the three-dimensional body data of a user according to the first embodiment of the present invention.

[0051] Figure 3 This is a flowchart of extracting size data of a target part from three-dimensional body shape data according to the first embodiment of the present invention.

[0052] Figure 4 It is a flow chart of adjusting a general sample of a preset target garment according to size data to generate a customized garment sample according to the first embodiment of the present invention.

[0053] Figure 5It is a flowchart of the first embodiment of the present invention for selecting the most similar universal template from the existing basic template library based on the three-dimensional body data of the customer.

[0054] Figure 6 Flow chart of the seam position and length on the universal template after correction and adjustment according to the first embodiment of the present invention.

[0055] Figure 7 It is a flow chart of generating a processing order based on a digital file and clothing material parameters according to the first embodiment of the present invention. DETAILED DESCRIPTION

[0056] 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.

[0057] First embodiment

[0058] See also Figure 1 to Figure 7 The present invention provides a method for generating an individualized clothing sample, comprising:

[0059] S101 obtains three-dimensional body data of the user;

[0060] The specific steps include:

[0061] S201 uses a three-dimensional scanning device to scan the user to obtain user point cloud data;

[0062] Select a suitable 3D scanning device, such as a structured light scanner, laser scanner, or camera-based scanning system. Set up the scanning environment to ensure good lighting conditions and avoid interference from shadows and strong light. The user wears clothing suitable for scanning and avoids wearing clothing that is too complex or has metal decorations. Instruct the user to maintain a still posture and ensure that the body does not move during the scanning process. Start scanning, the scanning device will emit light and capture the reflected light to obtain the user's surface shape information. Then use multi-angle scanning to ensure that complete body data is captured from all directions. After the scan is completed, export the original point cloud data from the device, which contains a large number of discrete points on the user's body surface.

[0063] S202 processes the point cloud data to remove noise and outliers;

[0064] Open the raw data file using point cloud processing software. Apply filtering algorithms to remove noise points, such as statistical filtering, mean filtering, or median filtering methods. Then identify and remove points that significantly deviate from the normal distribution, such as using distance thresholds or statistical methods to identify and delete outliers. Finally, adjust the point cloud density to ensure the uniformity and quality of the data.

[0065] S203 triangulates the point cloud data to form a surface of a three-dimensional model, thereby obtaining three-dimensional body shape data.

[0066] Use point cloud processing software to convert the denoised point cloud data into a triangular mesh model. This step usually involves building a triangular mesh, where each triangle is made up of three adjacent points. The triangular mesh is refined and smoothed to reduce the number of triangles and improve the smoothness of the model. Export the optimized 3D model to a standard format such as STL, OBJ or PLY for subsequent processing and analysis.

[0067] S102 extracts size data of the target part from the three-dimensional body shape data;

[0068] The target areas include shoulder width, chest circumference, waist circumference and hip circumference.

[0069] The specific steps include:

[0070] S301 uses the annotated three-dimensional model as training data to train the algorithm to recognize specific body parts.

[0071] Collect a set of annotated 3D human body model data, which should include clearly marked key point locations, such as shoulder points, chest points, waist points, and hip points. Then clean and standardize the data to ensure data consistency and accuracy. Use the annotated data to train a machine learning model, such as a support vector machine (SVM), so that it can identify and locate key points in the 3D model.

[0072] S302 extracts key point features from the three-dimensional model, where the key point features include curvature and height;

[0073] Use computer vision and geometry processing techniques to extract features of key points from the 3D model. Curvature features help identify different parts of the body, for example, the shoulders are usually flatter than the waist. Height features help determine the location of body parts, for example, the shoulders and hips are at different heights. Select the features that best represent the key points to improve the accuracy and robustness of the model.

[0074] S303 uses a support vector machine based on key point features to detect key point positions on the human body model;

[0075] Collect a dataset containing multiple human images in different poses, and the key points in each image need to be manually annotated (e.g., head center, shoulders, elbows, knees, etc.).

[0076] For each key point in each image, extract the feature vector. Common features are:

[0077] HOG (Histogram of Oriented Gradients): used to capture edge and texture information in images.

[0078] SIFT (Scale-Invariant Feature Transform): Detects scale-invariant key points.

[0079] SURF (Speeded Up Robust Features): is a fast version of SIFT

[0080] Create training samples for each keypoint. Each sample contains a set of feature vectors and a corresponding label (the location or absence of the keypoint). Train an SVM classifier using the labeled dataset. You may want to train a separate SVM classifier for each keypoint type. The goal of the SVM is to find a hyperplane that separates the positive and negative examples as far apart as possible.

[0081] The SVM classifier outputs a score indicating the probability of a key point existing in the window. Usually a threshold is set, and the window is considered to contain a key point only when the score exceeds the threshold.

[0082] For the detected key points, their positions are further optimized, for example, using methods such as quadratic interpolation to improve accuracy.

[0083] The detected key points are connected to form a human skeleton, which can be done through simple geometric rules or more complex algorithms.

[0084] S304 calculates the distance between the key point positions to obtain the corresponding size.

[0085] For linear dimensions (such as shoulder width), the linear distance between two key points is calculated directly. For circumference (such as chest circumference, waist circumference, hip circumference), a path around a specific part needs to be constructed and the circumference of this path needs to be calculated. The circumference calculation constructs a cross section or path, usually selecting a plane at a specific height to ensure that the path covers the entire part. The shortest distance from all points on the path to the center line of the path is calculated, and then the sum of these distances is calculated.

[0086] S103 adjusts the general sample of the preset target clothing according to the size data to generate a customized clothing sample;

[0087] The specific steps include:

[0088] S401 selects the most similar general template from the existing basic template library according to the customer's 3D body data;

[0089] The specific steps include:

[0090] S501 obtains the customer's size data;

[0091] The customer's body size data is obtained through the measurement data provided by the customer or 3D scanning equipment, which usually includes but is not limited to shoulder width, chest circumference, waist circumference, and hip circumference.

[0092] S502 Ensure that there is a basic sample library that includes different body shapes and sizes. Each sample should have detailed measurement information, such as shoulder width, chest circumference, waist circumference, and hip circumference;

[0093] Maintain a base library of patterns for a variety of body shapes and sizes, each with detailed measurements such as shoulder width, chest, waist, and hips.

[0094] This sample library is digitized and stored in a database for quick retrieval and processing.

[0095] S503 compares the customer's size data with the general sample data in the sample library, each general sample has size information, and the size information includes shoulder width, chest circumference, waist circumference, and hip circumference;

[0096] An algorithm is used to compare the customer's specific dimensional data with each generic pattern in the pattern library.

[0097] This is done automatically by writing programs, and also manually by experienced tailors.

[0098] S504 obtains the calculated difference of each part by calculating the Euclidean distance between the customer's body shape of the corresponding part and the universal template;

[0099] For each generic template, the difference between the customer size and the template size is calculated, and the Euclidean distance formula is used to quantify this difference, so that the difference is measured by a numerical value, which improves the calculation accuracy.

[0100] S505 obtains a matching score by setting a weight for each part based on the calculated difference of each part;

[0101] Set weights for different body parts to reflect their importance in the matching process.

[0102] A match score is calculated for each generic template based on weighted differences, with weights set based on industry standards or specific design requirements.

[0103] The sample with the highest S506 matching score is the closest universal sample.

[0104] The generic template with the highest matching score is selected as the starting point, which is the one that most closely matches the customer's body type characteristics.

[0105] S402 compares the actual measurement value of the target part of the customer with the calculated difference value of the size of the universal sample;

[0106] Use the selected generic template to compare with the customer's actual dimensional data.

[0107] Calculate the difference between the actual measurement of each part and the universal sample size, and these differences will be the basis for subsequent adjustments.

[0108] S403 uses a planimetric mapping method to adjust the universal template based on the calculated difference value;

[0109] Apply plan drafting techniques and adjust the dimensions of the generic template according to the calculated differences.

[0110] This is done by hand drawing or using computer-aided design (CAD) software.

[0111] Adjustments involve increasing or decreasing the amount of fabric in certain areas to ensure the finished product fits the client’s body perfectly.

[0112] S404 Corrected seam position and length on adjusted universal template.

[0113] The specific steps include:

[0114] S601 imports the corrected and adjusted universal template into the CAD software;

[0115] Use professional clothing CAD software to import the adjusted general pattern.

[0116] CAD software provides precise design and modification tools to complete this step efficiently.

[0117] S602 uses the measurement tools in the CAD software to compare the customer's measurements with the standard dimensions on the template;

[0118] In the CAD software, use the measurement tools to accurately compare the customer's actual dimensions to the dimensions on the sample. This step helps ensure that all adjustments are as expected.

[0119] S603 calculates and adjusts the position and length of the seam according to the measurement difference.

[0120] Based on the measurement differences, the exact position and length of the seam that needs to be adjusted can be accurately calculated.

[0121] Adjust the position and length of seams in the CAD software to ensure that the final garment pattern fits the customer's body shape exactly.

[0122] S104 generates a digital file of the customized clothing sample;

[0123] After completing all necessary adjustments to the generic template, a final confirmation of the adjusted template is required.

[0124] Verify that all measurements and seam locations match the customer's body measurements and desired style details.

[0125] Digitize the adjusted template using a scanner or flatbed drawing tablet.

[0126] If adjustments have been made previously in the CAD software, this step can be omitted since the template is already in digital form.

[0127] Import the digitized pattern into the CAD software. Use the CAD software to check and fine-tune the pattern, making sure all lines are smooth and accurate. Perform final size verification and seam adjustments.

[0128] Create a digital file of your custom garment pattern in CAD software. Choose an appropriate file format, such as DXF (Drawing Exchange Format), PDF, or another format suitable for garment manufacturing. Save the file, and make sure all necessary marks and annotations are added correctly.

[0129] S105 generates a processing order based on the digital file and the clothing material parameters.

[0130] The specific steps include:

[0131] S701 determines the quantity of garments to be produced according to the customer order;

[0132] Review the customer's order details to confirm the style and quantity of clothing requested by the customer. Determine the size of the production batch, taking into account the minimum order quantity (MOQ) and possible additional requirements.

[0133] S702 obtains fabric information selected by the user, wherein the fabric information includes fabric type, color, texture, and weight;

[0134] Collect information about fabrics selected by the user, including but not limited to: fabric type (e.g. cotton, silk, polyester, etc.), color (specific color code or name), texture (plain, twill, jacquard, etc.), weight (g / m2, which affects the feel and drape of the fabric).

[0135] S703 obtains the auxiliary material information selected by the user, wherein the auxiliary material information includes zippers, buttons, and decorations;

[0136] Record the auxiliary material information specified by the user, including but not limited to: zipper type (metal, plastic, invisible zipper, etc.), button style (material, shape, color) and decorations (embroidery pattern, applique, sequins, etc.).

[0137] S704 uses bill of materials software to calculate the amount of fabric and trim required for each garment;

[0138] Using professional BOM (Bill of Materials) software, we calculate the specific quantity of fabrics and accessories required for each garment based on the cutting patterns and sizes in the digital file. Taking into account the loss rate during the production process, we increase the quantity of fabrics and accessories appropriately. We ensure the accuracy of the calculation and avoid waste or shortage.

[0139] S705 creates a bill of materials and generates a processing order based on the calculation results.

[0140] Compile the calculated quantities of fabrics and trimmings into a bill of materials. The bill should include detailed specifications and quantities of all required materials.

[0141] Create a processing order that includes the following: bill of materials, production quantity, completion date, special requirements, notes, and then submit the processing order to the manufacturer or supplier to ensure on-time production and delivery.

[0142] Second embodiment

[0143] The present invention also provides an individualized clothing sample generation system, comprising a data acquisition module, a size data calculation module, a sample adjustment module, a digital file generation module and an order generation module; the data acquisition module is used to acquire the user's three-dimensional body data; the size data calculation module is used to extract the size data of the target part from the three-dimensional body data; the sample adjustment module is used to adjust the general sample of the preset target clothing according to the size data to generate a customized clothing sample; the digital file generation module is used to generate a digital file of the customized clothing sample; the order generation module is used to generate a processing order based on the digital file and clothing material parameters.

[0144] In this embodiment, the data acquisition module scans the user's entire body through a 3D scanner, or reconstructs the user's three-dimensional model using computer vision technology through multi-angle photos uploaded by the user. The user is also asked to fill in the size data of key parts, such as chest circumference, waist circumference, hip circumference, etc., so as to obtain accurate personal body shape data, which provides a basis for subsequent size data calculation.

[0145] The size data calculation module analyzes the 3D model, automatically identifies key parts and measures their sizes. These key parts include but are not limited to shoulder width, chest circumference, waist circumference, hip circumference, sleeve length, trouser length, etc. The most suitable size data is calculated based on the user's personal characteristics to facilitate the next step of adjusting the clothing sample.

[0146] The pattern adjustment module uses CAD (Computer-Aided Design) software to make personalized adjustments based on standard clothing patterns. The system automatically scales and modifies various parts of the pattern according to the size data to ensure that the final garment is both fit and comfortable. Ensure that the generated clothing pattern can perfectly fit the user's body shape.

[0147] The digital file generation module saves the adjusted garment sample into a digital format suitable for garment factories, such as PDF, DXF or other specialized garment industry standard formats, which is convenient for garment processing factories to directly download and use for cutting fabrics and production.

[0148] The order generation module integrates the user's personalized needs, fabric selection and previously generated digital files to automatically generate processing orders. This process also includes calculating the required fabric quantity, auxiliary material type and quantity, etc., ensuring that the manufacturing process can accurately produce clothing according to the user's requirements.

[0149] The overall workflow is as follows: users submit orders through the online platform, including personal size data or allow the system to collect their 3D body data. The system automatically processes this data and extracts the size information of key parts through the size data calculation module. These size data are used to adjust the preset universal templates to generate customized clothing samples that fully meet the user's body characteristics. The customized samples are converted into digital files for manufacturers to use. Finally, based on the digital files and the fabric and accessories information selected by the user, the system automatically generates a detailed processing order and sends it to the manufacturer for execution.

[0150] Through the above steps, the system can realize efficient and accurate individualized clothing customization services to meet consumers' needs for personalized clothing.

[0151] The above disclosure is only a preferred embodiment of the present invention, and certainly cannot be used to limit the scope of the present invention. A person of ordinary skill in the art understands that all or part of the processes of the above embodiment and the same changes made according to the claims of the present invention still fall within the scope of the invention.

Claims

1. A method for generating an individualized clothing sample, characterized in that: include: Obtaining the user's three-dimensional body data; Extracting size data of target parts from three-dimensional body shape data; Adjusting a general pattern of a preset target garment according to the size data to generate a customized garment pattern; Generating a digital file of the customized garment sample; Generate processing orders based on digital files and garment material parameters.

2. A method for generating an individualized clothing pattern according to claim 1, characterized in that: The target areas include shoulder width, chest circumference, waist circumference and hip circumference.

3. A method for generating an individualized clothing pattern according to claim 2, characterized in that: The specific steps of obtaining the user's three-dimensional body shape data include: Use a 3D scanning device to scan the user and obtain the user's point cloud data; Processing point cloud data to remove noise and outliers; The point cloud data is triangulated to form the surface of the three-dimensional model and obtain the three-dimensional shape data.

4. A method for generating an individualized clothing pattern as claimed in claim 3, characterized in that: The specific steps of extracting the size data of the target part from the three-dimensional body shape data include: Use annotated 3D models as training data to train algorithms to recognize specific body parts; Extract key point features from the three-dimensional model, wherein the key point features include curvature and height; Using key point features, support vector machine is used to detect the key point locations on the human body model; Calculate the distance between key point positions to get the corresponding size.

5. A method for generating an individualized clothing pattern as claimed in claim 4, characterized in that: The specific steps of adjusting the general sample of the preset target clothing according to the size data to generate a customized clothing sample include: Select the most similar general template from the existing basic template library according to the customer's 3D body data; Compare the actual measurements of the customer's target area with the calculated differences in dimensions of the universal template; Use planimetric mapping to adjust the generic template based on calculated variances; Corrected seam position and length on adjusted generic templates.

6. A method for generating an individualized clothing pattern according to claim 5, characterized in that: The specific steps of selecting the closest universal template from the existing basic template library according to the customer's three-dimensional body data include: Get the customer's size data; Make sure you have a base library of different body shapes and sizes; Comparing the customer's size data with the general sample data in the sample library, each general sample having size information, the size information including shoulder width, chest circumference, waist circumference, and hip circumference; By calculating the Euclidean distance between the customer's body shape and the universal template at the corresponding part, the calculated difference of each part is obtained; Based on the calculated difference of each part, the matching score is obtained by setting weights for each part; The template with the highest matching score is the closest common template.

7. A method for generating an individualized clothing pattern according to claim 6, characterized in that: The specific steps of correcting the joint position and length on the adjusted universal template include: Import the corrected and adjusted universal template into the CAD software; Use the measurement tools in your CAD software to compare the customer's measurements to the standard dimensions on the template; Calculate and adjust the position and length of the seams based on the measurement differences.

8. A method for generating an individualized clothing pattern according to claim 7, characterized in that: The specific steps of generating a processing order based on the digital file and the clothing material parameters include: Determine the quantity of garments to be produced based on customer orders; Obtaining fabric information selected by the user, the fabric information including fabric type, color, texture, and weight; Acquire the auxiliary material information selected by the user, wherein the auxiliary material information includes zippers, buttons, and decorations; Use bill of materials software to calculate the amount of fabric and trims needed for each garment; Create a bill of materials and generate a processing order based on the calculation results.

9. A personalized clothing sample generation system, characterized in that: It includes a data acquisition module, a dimension data calculation module, a template adjustment module, a digital file generation module and an order generation module; The data acquisition module is used to acquire the user's three-dimensional body data; The size data calculation module is used to extract the size data of the target part from the three-dimensional body shape data; The sample adjustment module is used to adjust the general sample of the preset target clothing according to the size data to generate a customized clothing sample; The digital file generation module is used to generate a digital file of the customized clothing sample; The order generation module is used to generate a processing order based on the digital file and clothing material parameters.

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