CN116226432A - Digitalized garment style duplication checking method and device - Google Patents
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Abstract
The invention discloses a digitalized garment style duplicate checking method, which comprises the following steps: acquiring newly uploaded clothing style data; selecting one of a plurality of pre-stored garment style data which have the same standard version garment layout as the newly uploaded garment style data; traversing each point of the two-dimensional point cloud data of each cut piece in the newly uploaded clothing style data, and calculating the color difference of the same coordinate point in the two-dimensional point cloud data of the cut pieces of the newly uploaded clothing style data and the selected pre-stored clothing style data on the same part; dividing all the color difference data into different ranges, calculating the proportion of the amount of the color difference data in each range to the total amount of the color difference data, and judging whether the newly uploaded clothing style is the same as the pre-stored clothing style according to a preset rule. The invention provides an effective clothing style duplicate checking method for the first time, which is beneficial to improving the copyright consciousness of the clothing industry and preventing the clothing style from being plainted.
Description
Technical Field
The invention relates to the technical field of clothing style data information management. More particularly, the present invention relates to a digitized garment style duplication checking method and apparatus.
Background
With the development of internet applications, the interaction of network users is embodied, and users are both browses and creators of network contents, and UGC (User Generated Content, i.e. user created contents) is created with web2.0 advocating personalization as a main feature. UGC changes a production consumption mode of production from a supply side and consumption from a consumption side into a production consumption mode of production from the consumption side, wherein the production consumption mode is the same as the production of the UGC, and the UGC creates huge user value and also creates a plurality of business mythics, such as: youTube, facebook, known as bilibilibili, shivering, etc.
UGC-based application popularization, the concept of UGC gradually permeates into clothing manufacturing industry. The traditional clothing manufacturing process is that a clothing designer makes a head sample according to the body measurement data of a standard human body, then gives out a grade difference according to different height and body types, uses a certain method to make other templates with different sizes, then cuts out clothing pieces on cloth according to the clothing templates, and finally sews the clothing pieces to obtain the finished clothing. The new clothing manufacturing process of fusing UGC concept is integrated with the process of autonomous participation of the user in the clothing design, in short, the finished clothing is deconstructed into a plurality of elements of clothing, including: garment version, garment pattern, garment style, fabric, sewing process and the like. The scheme instance of each element is digitally processed through the clothing virtual technology, and the alternative scheme of each element is built into a database, so that a user can select the favorite element scheme on line and match the favorite element scheme to form the clothing designed by the user. Meanwhile, the database also supports the user independent design requirement scheme with the clothing design foundation and uploads the design requirement scheme.
However, UGC has remained in the digital space for a long time, and is difficult to expand to the physical world, because there are numerous difficulties, and a fast and inexpensive intellectual property protection method is one of the problems that needs to be solved urgently. In the field of clothing manufacturing, the problem is mainly reflected in the problem of copyright protection of clothing designers.
In the aspect of clothing styles, the copyright problem is related to the fact that users choose to upload clothing styles in a database or independently design the clothing styles. In addition, with the development of networks, the three-dimensional clothing CAD technology completes virtual reality clothing design through computer image and graphic processing, and the appearance and development of the three-dimensional anthropometric technology promotes the industrialized application of the three-dimensional clothing CAD technology. However, in the field of industrial garment production, garment customization and personal DIY, whether on-line design or off-line design, it is necessary to protect intellectual property of the garment design in the design link by using a low-cost and rapid duplication checking method. In order to better protect the copyright of the clothing designer, it is necessary to check the weight of the independently designed clothing style, and no effective clothing style checking method exists in the current clothing industry.
Disclosure of Invention
It is an object of the present invention to solve at least the above problems and to provide at least the advantages to be described later.
The invention also aims to provide a digitalized clothing style duplicate checking method which has high duplicate checking efficiency and high accuracy of checking similar clothing styles.
To achieve these objects and other advantages and in accordance with the purpose of the invention, there is provided a digitized garment style duplication checking method, comprising:
s1, acquiring newly uploaded clothing style data, wherein the newly uploaded clothing style data is obtained by coloring each point on the basis of two-dimensional point cloud data of all cut pieces contained in a standard edition clothing edition selected by a user, and the clothing style data at least comprises two-dimensional point cloud data of all cut pieces of the standard edition clothing edition and color values of each point;
s2, selecting one of a plurality of pieces of pre-stored clothing style data which have the same standard version clothing style as the newly uploaded clothing style data, wherein the pre-stored clothing style data which have the same standard version clothing style as the newly uploaded clothing style data are that the clothing style data and the newly uploaded clothing style data contain the same clothing style data, and the clothing style data at least comprise two-dimensional point cloud data of all cut pieces of the standard version clothing style;
s3, traversing each point of the two-dimensional point cloud data of each cut piece in the newly uploaded clothing style data, and calculating the color difference of the same coordinate point in the two-dimensional point cloud data of the cut pieces of the newly uploaded clothing style data and the selected pre-stored clothing style data on the same position;
s4, dividing all the color difference data into different ranges, calculating the proportion of the amount of the color difference data in each range to the total amount of the color difference data, judging whether the newly uploaded clothing style is the same as the pre-stored clothing style according to a preset rule, and feeding back repeated information if the newly uploaded clothing style is the same as the pre-stored clothing style; otherwise
S5, repeating the steps S2-S4 until a plurality of pre-saved garment style data are selected to be exhausted, and saving the newly uploaded garment style data.
Preferably, in S4, the color difference is calculated using a color difference calculation formula of Δe×ab.
Preferably, the preset rule in S5 includes: if the value of the color difference data exceeding 5% of the total color difference data is more than or equal to 2.0 delta E, or the value of the color difference data exceeding 10% of the total color difference data is more than or equal to 1.0 delta E, or the value of the color difference data exceeding 40% of the total color difference data is more than or equal to 0.5 delta E, the judgment is non-identical; if the value of the color difference data with 3-5% of the total color difference data is more than or equal to 2.0 delta E, or the value of the color difference data with 7-10% of the total color difference data is more than or equal to 1.0 delta E, or the value of the color difference data with 30-40% of the total color difference data is more than or equal to 0.5 delta E, the color difference data are judged to be similar, and manual verification is carried out; the other cases were all judged to be the same.
Preferably, the garment style duplication checking method further comprises the following steps:
and constructing a neural network identification model, and inputting all color difference data and manual auditing results into the neural network identification model to adjust parameter values in the preset rule, wherein the parameter values refer to the proportion of the number of the color difference data in each range to the total amount of the color difference data.
The invention also provides a digitalized garment style duplicate checking device, which comprises:
the new style acquisition unit is used for acquiring newly uploaded clothing style data, wherein the newly uploaded clothing style data is obtained by coloring each point on the basis of two-dimensional point cloud data of all the cut pieces contained in the standard edition clothing edition selected by a user, and the clothing style data at least comprises two-dimensional point cloud data of all the cut pieces of the standard edition clothing edition and color values of each point;
the existing style selecting unit is used for selecting one of a plurality of pieces of pre-stored garment style data which have the same standard version of garment layout as the newly uploaded garment style data, wherein the pre-stored garment style data which have the same standard version of garment layout as the newly uploaded garment style data are that the garment style data and the newly uploaded garment style data contain the same garment layout data, and the garment layout data at least comprise two-dimensional point cloud data of all cut pieces of the standard version of garment layout;
the color difference calculating unit is used for traversing each point of the two-dimensional point cloud data of each cut piece in the newly uploaded clothing style data and calculating the color difference of the same coordinate point in the two-dimensional point cloud data of the cut piece of the newly uploaded clothing style data and the selected pre-stored clothing style data on the same position;
the judging unit is used for dividing all the color difference data into different ranges, calculating the proportion of the amount of the color difference data in each range to the total amount of the color difference data, judging whether the newly uploaded clothing style is the same as the pre-stored clothing style according to a preset rule, and feeding back repeated information if the newly uploaded clothing style is the same as the pre-stored clothing style;
and the circulation unit is used for repeatedly calling the existing style selecting unit, the color difference calculating unit and the judging unit when the judging unit judges that the newly uploaded clothing style is different from the pre-saved clothing style until a plurality of pre-saved clothing style data are selected to be exhausted, and saving the newly uploaded clothing style data.
The present invention also provides an electronic apparatus, comprising: the system comprises at least one processor and a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor performs the digitized garment style duplication checking method.
The invention also provides a storage medium, on which a computer program is stored, which when being executed by a processor, realizes the digitized garment style duplication checking method.
The invention at least comprises the following beneficial effects:
1. the invention provides an effective clothing style duplication checking method for the first time, lays a foundation for establishing benign clothing industry ecology in the clothing custom-made industry and even the whole clothing industry, and promotes popularization of clothing custom-made;
2. the garment style duplicate checking method provided by the invention is based on the comparison of the patterns of the same garment model after the digital processing, and has the advantages of high accuracy and high efficiency;
3. the garment style duplication checking method provided by the invention is convenient for building a neural network learning model, and the duplication checking accuracy and efficiency can be continuously improved, so that the manual rechecking proportion is reduced;
4. the garment style duplicate checking method provided by the invention is beneficial to improving the copyright consciousness of the garment industry and preventing the garment style from being plainted.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
FIG. 1 is a flow chart of a method for digitized garment style duplication checking according to an embodiment of the present invention;
fig. 2 is a block diagram of a digitized garment style duplication checking device according to an embodiment of the present invention.
Detailed Description
The present invention is described in further detail below with reference to the drawings to enable those skilled in the art to practice the invention by referring to the description.
The experimental methods described in the following embodiments are conventional methods unless otherwise indicated, and the reagents and materials are commercially available.
Before explaining the digitized garment style duplication checking method in detail, technical terms in the garment field are explained:
garment pattern: the method comprises the steps of integrally modeling the clothing, and after the clothing is disassembled into various cut pieces, the shape of each cut piece and the sewing relation among the cut pieces are obtained;
standard edition clothing pattern: refers to a garment version matched with a standard human model, wherein the standard human model comprises a national standard 175-96-A male human model, a national standard 165-84-A female human model and a national standard 120-64 child human model;
clothing style: including garment version and pattern;
pattern: including patterns and colors on the garment.
To enhance customer engagement with a garment design, we deconstruct the finished garment into a plurality of elements of the garment construction, including: garment version, garment pattern, garment style, fabric, sewing process and the like. And digitizing the scheme instance of each element through clothing virtual technology, and constructing a database of the alternative scheme of each element.
The clothing layout data of different standard edition clothing layouts can be stored in the layout library in advance, and the clothing layout data at least comprises two-dimensional point cloud data of all cutting pieces of the standard edition clothing layouts.
The style library can pre-store the clothing style data of different clothing styles, wherein the clothing style data at least comprises two-dimensional point cloud data of all cut pieces of the standard edition clothing style and color values of each point.
The style library can be set to be a secondary category of the style library, namely, multiple garment styles in the style library are classified according to the standard version garment styles to which the garment styles belong, and a plurality of garment styles belonging to the standard version garment styles are pre-stored under each standard version garment style. On the data structure, firstly, the pattern library respectively stores the clothing pattern data of different standard edition clothing patterns, and then respectively stores different pattern data based on the clothing pattern data under the clothing pattern data of each standard edition clothing pattern, wherein the pattern data refers to the data composed of the color values of all points when the two-dimensional point cloud data of all the cut pieces of the standard edition clothing pattern contained in the clothing pattern data are colored at each point to jointly form the patterns and the colors of the clothing pattern.
The customer selects the favorite standard edition of clothing from the edition library, then selects clothing style based on the favorite standard edition of clothing in the clothing style database, or downloads the favorite standard edition of clothing style of clothing from the edition library, and then designs patterns on each cut piece of the clothing style to form clothing style and uploads.
In order to check whether the clothes style uploaded by the client is the same as the existing clothes style in the style library, a digital clothes style duplicate checking method is adopted.
Referring to fig. 1, the digitized garment style duplication checking method includes:
s1, acquiring newly uploaded clothing style data, wherein the newly uploaded clothing style data is obtained by coloring each point on the basis of two-dimensional point cloud data of all cut pieces contained in a standard edition clothing edition selected by a user, and the clothing style data at least comprises two-dimensional point cloud data of all cut pieces of the standard edition clothing edition and color values of each point;
the newly uploaded clothing style data can be selected by a user from a standard edition clothing edition library, clothing edition data of the standard edition clothing edition is downloaded to a client, and each point is colored on the basis of two-dimensional point cloud data of each cutting piece of the clothing edition, so that clothing style data is formed. The pattern data of the clothing style at least comprises the two-dimensional point cloud data of the cut pieces and the color value of each point.
S2, selecting one of a plurality of pieces of pre-stored clothing style data which have the same standard version clothing style as the newly uploaded clothing style data, wherein the pre-stored clothing style data which have the same standard version clothing style as the newly uploaded clothing style data are that the clothing style data and the newly uploaded clothing style data contain the same clothing style data, and the clothing style data at least comprise two-dimensional point cloud data of all cut pieces of the standard version clothing style;
as can be seen from the data structures of the pattern library and the style library, when a user selects a standard version of clothing pattern, a plurality of clothing styles corresponding to the standard version of clothing pattern are also locked in the style library, so that the range of the clothing style check is also narrowed from all the clothing styles in the style library to a plurality of clothing styles corresponding to the standard version of clothing pattern, thereby greatly reducing the operation amount and improving the check efficiency.
S3, traversing each point of the two-dimensional point cloud data of each cut piece in the newly uploaded clothing style data, and calculating the color difference of the same coordinate point in the two-dimensional point cloud data of the cut pieces of the newly uploaded clothing style data and the selected pre-stored clothing style data on the same position;
specifically, in this embodiment, the color difference is calculated by using a color difference calculation formula of Δe×ab, and there are also color difference calculation methods of DE76 (deeb), DE94, DE2000, DECMC, and the like, and the practitioner may select to use according to the specific situation.
S4, dividing all the color difference data into different ranges, calculating the proportion of the amount of the color difference data in each range to the total amount of the color difference data, judging whether the newly uploaded clothing style is the same as the pre-stored clothing style according to a preset rule, and feeding back repeated information if the newly uploaded clothing style is the same as the pre-stored clothing style; otherwise, entering S5;
specifically, the preset rule in this embodiment includes: if the value of the color difference data exceeding 5% of the total color difference data is more than or equal to 2.0 delta E, or the value of the color difference data exceeding 10% of the total color difference data is more than or equal to 1.0 delta E, or the value of the color difference data exceeding 40% of the total color difference data is more than or equal to 0.5 delta E, the judgment is non-identical; if the value of the color difference data with 3-5% of the total color difference data is more than or equal to 2.0 delta E, or the value of the color difference data with 7-10% of the total color difference data is more than or equal to 1.0 delta E, or the value of the color difference data with 30-40% of the total color difference data is more than or equal to 0.5 delta E, the color difference data are judged to be similar, and manual verification is carried out; the other cases were all judged to be the same.
Of course, according to the requirement of the recognition precision, the implementer can adjust the parameter value therein, wherein the parameter value refers to the proportion of the number of the color difference data in each range to the total amount of the color difference data.
In addition, when the color difference calculation method selected by the practitioner is one of DE76 (DEab), DE94, DE2000 and DEMC, a preset rule can be set according to the method so as to check and re-judge the newly uploaded clothing style.
S5, repeating the steps S2-S4 until a plurality of pre-saved garment style data are selected to be exhausted, and saving the newly uploaded garment style data.
In the embodiment, an effective clothing style duplication checking method is provided for the first time, a foundation is laid for establishing benign clothing industry ecology in the clothing custom-made industry and even the whole clothing industry, and popularization of clothing custom-made is promoted; the first proposed garment style duplicate checking method is based on the comparison of the patterns of the same garment version after digital processing, and has high accuracy and high efficiency; the garment style duplicate checking method is beneficial to improving copyright consciousness of the garment industry and preventing the garment style from being plainted.
In another embodiment, the garment style duplication checking method further includes:
and constructing a neural network identification model, and inputting all color difference data and manual auditing results into the neural network identification model to adjust parameter values in the preset rule, wherein the parameter values refer to the proportion of the number of the color difference data in each range to the total amount of the color difference data.
In the embodiment, the accuracy and efficiency of the check can be continuously improved by building the neural network learning model, and the artificial rechecking proportion is reduced.
Based on the same inventive concept, the invention also provides a digitized clothing style duplication checking device, which can be a personal computer, a server or other devices for realizing the digitized clothing style duplication checking method.
Referring to fig. 2, the digitized garment style duplication checking device provided in the embodiment of the present application includes:
the new style acquisition unit is used for acquiring newly uploaded clothing style data, wherein the newly uploaded clothing style data is obtained by coloring each point on the basis of two-dimensional point cloud data of all the cut pieces contained in the standard edition clothing edition selected by a user, and the clothing style data at least comprises two-dimensional point cloud data of all the cut pieces of the standard edition clothing edition and color values of each point;
the existing style selecting unit is used for selecting one of a plurality of pieces of pre-stored garment style data which have the same standard version of garment layout as the newly uploaded garment style data, wherein the pre-stored garment style data which have the same standard version of garment layout as the newly uploaded garment style data are that the garment style data and the newly uploaded garment style data contain the same garment layout data, and the garment layout data at least comprise two-dimensional point cloud data of all cut pieces of the standard version of garment layout;
the color difference calculating unit is used for traversing each point of the two-dimensional point cloud data of each cut piece in the newly uploaded clothing style data and calculating the color difference of the same coordinate point in the two-dimensional point cloud data of the cut piece of the newly uploaded clothing style data and the selected pre-stored clothing style data on the same position;
the judging unit is used for dividing all the color difference data into different ranges, calculating the proportion of the amount of the color difference data in each range to the total amount of the color difference data, judging whether the newly uploaded clothing style is the same as the pre-stored clothing style according to a preset rule, and feeding back repeated information if the newly uploaded clothing style is the same as the pre-stored clothing style;
and the circulation unit is used for repeatedly calling the existing style selecting unit, the color difference calculating unit and the judging unit when the judging unit judges that the newly uploaded clothing style is different from the pre-saved clothing style until a plurality of pre-saved clothing style data are selected to be exhausted, and saving the newly uploaded clothing style data.
All relevant contents of each step related to the foregoing embodiment of the digitalized garment style duplication checking method may be cited to the functional description of the functional module corresponding to the digitalized garment style duplication checking device in the embodiment of the present application, and are not repeated herein.
The division of the modules in the embodiments of the present application is schematically only one logic function division, and there may be another division manner in actual implementation, and in addition, each functional module in each embodiment of the present invention may be integrated in one processor, or may exist separately and physically, or two or more modules may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules.
In the system embodiment of the present invention, the connection relationship between the modules represents that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines.
The present invention also provides an electronic apparatus, comprising: the system comprises at least one processor and a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor performs the digitized garment style duplication checking method. The electronic device may be any terminal device including a mobile phone, a notebook computer, a desktop computer, a tablet computer, a PDA (Personal Digital Assistant ), a POS (Point of sales), a car-mounted computer, and the like.
The invention also provides a storage medium, on which a computer program is stored, which when being executed by a processor, realizes the digitized garment style duplication checking method.
From the above description of the embodiments, it will be apparent to those skilled in the art that the present invention may be implemented by means of software plus necessary general purpose hardware, or of course by means of special purpose hardware including application specific integrated circuits, special purpose CPUs, special purpose memories, special purpose components, etc. Generally, functions performed by computer programs can be easily implemented by corresponding hardware, and specific hardware structures for implementing the same functions can be varied, such as analog circuits, digital circuits, or dedicated circuits. However, a software program implementation is a preferred embodiment for many more of the cases of the present invention. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a readable storage medium, such as a floppy disk, a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random-access Memory (RAM, random Access Memory), a magnetic disk or an optical disk of a computer, etc., including several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to execute the method according to the embodiments of the present invention.
Although embodiments of the present invention have been disclosed above, it is not limited to the details and embodiments shown and described, it is well suited to various fields of use for which the invention would be readily apparent to those skilled in the art, and accordingly, the invention is not limited to the specific details and illustrations shown and described herein, without departing from the general concepts defined in the claims and their equivalents.
Claims (7)
1. A digitized garment style duplication checking method, comprising:
s1, acquiring newly uploaded clothing style data, wherein the newly uploaded clothing style data is obtained by coloring each point on the basis of two-dimensional point cloud data of all cut pieces contained in a standard edition clothing edition selected by a user, and the clothing style data at least comprises two-dimensional point cloud data of all cut pieces of the standard edition clothing edition and color values of each point;
s2, selecting one of a plurality of pieces of pre-stored clothing style data which have the same standard version clothing style as the newly uploaded clothing style data, wherein the pre-stored clothing style data which have the same standard version clothing style as the newly uploaded clothing style data are that the clothing style data and the newly uploaded clothing style data contain the same clothing style data, and the clothing style data at least comprise two-dimensional point cloud data of all cut pieces of the standard version clothing style;
s3, traversing each point of the two-dimensional point cloud data of each cut piece in the newly uploaded clothing style data, and calculating the color difference of the same coordinate point in the two-dimensional point cloud data of the cut pieces of the newly uploaded clothing style data and the selected pre-stored clothing style data on the same position;
s4, dividing all the color difference data into different ranges, calculating the proportion of the amount of the color difference data in each range to the total amount of the color difference data, judging whether the newly uploaded clothing style is the same as the pre-stored clothing style according to a preset rule, and feeding back repeated information if the newly uploaded clothing style is the same as the pre-stored clothing style; otherwise
S5, repeating the steps S2-S4 until a plurality of pre-saved garment style data are selected to be exhausted, and saving the newly uploaded garment style data.
2. The digitized garment style duplication checking method of claim 1 wherein in S4 the color difference is calculated using a color difference calculation formula of Δe×ab.
3. The digitized garment style duplication checking method of claim 2 wherein the preset rules in S5 comprise: if the value of the color difference data exceeding 5% of the total color difference data is more than or equal to 2.0 delta E, or the value of the color difference data exceeding 10% of the total color difference data is more than or equal to 1.0 delta E, or the value of the color difference data exceeding 40% of the total color difference data is more than or equal to 0.5 delta E, the judgment is non-identical; if the value of the color difference data with 3-5% of the total color difference data is more than or equal to 2.0 delta E, or the value of the color difference data with 7-10% of the total color difference data is more than or equal to 1.0 delta E, or the value of the color difference data with 30-40% of the total color difference data is more than or equal to 0.5 delta E, the color difference data are judged to be similar, and manual verification is carried out; the other cases were all judged to be the same.
4. The digitized garment style repeat checking method of claim 3 further comprising:
and constructing a neural network identification model, and inputting all color difference data and manual auditing results into the neural network identification model to adjust parameter values in the preset rule, wherein the parameter values refer to the proportion of the number of the color difference data in each range to the total amount of the color difference data.
5. A digitized garment style duplication checking device, comprising:
the new style acquisition unit is used for acquiring newly uploaded clothing style data, wherein the newly uploaded clothing style data is obtained by coloring each point on the basis of two-dimensional point cloud data of all the cut pieces contained in the standard edition clothing edition selected by a user, and the clothing style data at least comprises two-dimensional point cloud data of all the cut pieces of the standard edition clothing edition and color values of each point;
the existing style selecting unit is used for selecting one of a plurality of pieces of pre-stored garment style data which have the same standard version of garment layout as the newly uploaded garment style data, wherein the pre-stored garment style data which have the same standard version of garment layout as the newly uploaded garment style data are that the garment style data and the newly uploaded garment style data contain the same garment layout data, and the garment layout data at least comprise two-dimensional point cloud data of all cut pieces of the standard version of garment layout;
the color difference calculating unit is used for traversing each point of the two-dimensional point cloud data of each cut piece in the newly uploaded clothing style data and calculating the color difference of the same coordinate point in the two-dimensional point cloud data of the cut piece of the newly uploaded clothing style data and the selected pre-stored clothing style data on the same position;
the judging unit is used for dividing all the color difference data into different ranges, calculating the proportion of the amount of the color difference data in each range to the total amount of the color difference data, judging whether the newly uploaded clothing style is the same as the pre-stored clothing style according to a preset rule, and feeding back repeated information if the newly uploaded clothing style is the same as the pre-stored clothing style;
and the circulation unit is used for repeatedly calling the existing style selecting unit, the color difference calculating unit and the judging unit when the judging unit judges that the newly uploaded clothing style is different from the pre-saved clothing style until a plurality of pre-saved clothing style data are selected to be exhausted, and saving the newly uploaded clothing style data.
6. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of any of claims 1-4.
7. A storage medium having stored thereon a computer program, which when executed by a processor, implements the method of any of claims 1-4.
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| CN106227827A (en) * | 2016-07-25 | 2016-12-14 | 华南师范大学 | Image of clothing foreground color feature extracting method and costume retrieval method and system |
| CN110458020A (en) * | 2019-07-10 | 2019-11-15 | 江阴逐日信息科技有限公司 | A kind of clothes fashion search method based on Shape context |
| CN113987344A (en) * | 2021-10-26 | 2022-01-28 | 雅莹集团股份有限公司 | Intelligent 3D garment style simulation method based on layout library and cost estimation method thereof |
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