CN109063755A - Clothes recognition methods and device - Google Patents
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- CN109063755A CN109063755A CN201810800401.3A CN201810800401A CN109063755A CN 109063755 A CN109063755 A CN 109063755A CN 201810800401 A CN201810800401 A CN 201810800401A CN 109063755 A CN109063755 A CN 109063755A
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Abstract
The present invention provides clothes recognition methods and devices, it is related to technical field of costume design, wherein, the clothes recognition methods includes: first, extract the data information in a dress designing, need exist for being illustrated is, an above-mentioned dress designing, which refers to, has at least contained the dress designing that design factor can be made or manufacture, in the design process of clothes, usually first design data information, later, clothes are made according to above-mentioned data information, secondly, in order to effectively examine or check the current fashion of clothes, data information is identified by clothes identification model trained in advance, due to, clothes identification model trained in advance be trained according to a variety of clothes instantly come, therefore can be good at measuring current fashion, later, dress designing is obtained according to the result of identification Design feature information can make the clothes of design close to fashion instantly by above-mentioned processing.
Description
Technical field
The present invention relates to technical field of costume design more particularly to clothes recognition methods and devices.
Background technique
Clothes refer to the general name of clothes shoes packet toy ornament etc., refer to clothes more.Clothes are early stage human social development
Just occur, a variety of materials that can be found at one's side are made into coarse and crude " clothes " to flak jacket by men of old.The initial clothes of the mankind
Be with made of animal skin, wrap up earliest " fabric " of body with bast-fibre and grass system etc. at.To clothes in national standard
It is defined as, sews, be through at human body and play protection and decorative effect product, also known as clothes.For present society, clothes have been every
Individual's decoration oneself, protects oneself, can be to the necessary supply of oneself and household, not just for wearing or an identity, a kind of life
Attitude, one displaying charisma performance.
Therefore, dress designing must immediately following fashion could be by the favor of consumer.But fashion is with society
What many factors such as meeting, science and technology, amusement changed in real time, so that the clothes of design is met fashion instantly to clothes
It is a problem for designer, there is no effective solution method at present.
Summary of the invention
In view of this, the embodiment of the present invention has been designed to provide clothes recognition methods and device, it is preparatory by being arranged
Trained clothes identification model simultaneously extracts the data information in clothes, improves the fashion and reality of clothes
Stickiness.
In a first aspect, the embodiment of the invention provides clothes recognition methods, comprising:
Extract the data information in a dress designing；
The data information is identified by clothes identification model trained in advance；
The design feature information of dress designing is obtained according to the result of identification.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein institute
State the step of extracting the data information in a dress designing, comprising:
One dress designing is shot, the picture of dress designing is obtained；
Multiple and different element informations of dress designing are extracted from the picture；
The data information is generated according to multiple and different element informations.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein institute
State the step of extracting the data information in a dress designing, comprising:
Search the design archive information an of dress designing；
Multiple and different archives element informations is extracted from the design archive information；
The data information is generated according to multiple and different archives element informations.
With reference to first aspect, the embodiment of the invention provides the third possible embodiments of first aspect, wherein institute
Before stating the step of being identified the data information by clothes identification model trained in advance, comprising:
Row shooting is put into more suits respectively, obtains multiple garment images；
The fashion factor of multiple garment images is trained, fashion tag recognition model is obtained；
The classification factor of multiple garment images is trained, Classification and Identification model is obtained；
The color factors of multiple garment images are trained, color identification model is obtained；
Clothes are generated in conjunction with the fashion tag recognition model, the Classification and Identification model and the color identification model to know
Other model.
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein institute
State the step of being identified the data information by clothes identification model trained in advance, comprising:
The data information is input in the clothes identification model of training in advance；
The clothes identification model carries out various dimensions identification to the data information according to training rules.
With reference to first aspect, the embodiment of the invention provides the 5th kind of possible embodiments of first aspect, wherein institute
State method further include:
Obtain the image information and sales volume information for having sold clothes；
Described image information is identified by the clothes identification model of training in advance, obtains sale design feature
Information；
The sale design feature information and the sales volume information are trained, vision situation of selling well model is obtained.
The 5th kind of possible embodiment with reference to first aspect, the embodiment of the invention provides the 6th kind of first aspect
Possible embodiment, wherein the method also includes:
When the data information has multiple, multiple data informations are carried out respectively by the vision situation of selling well model
Sales forecast；
Multiple recommendation dress designing information are generated according to the result of sales forecast；
Multiple recommendation dress designing information are ranked up according to the sequence of recommendation grade from high to low.
Second aspect, the embodiment of the invention provides clothes identification devices, comprising:
Data extraction module, for extracting the data information in a dress designing；
Training identification module, for identifying the data information by clothes identification model trained in advance；
Design feature generation module obtains the design feature information of dress designing for the result according to identification.
The third aspect, the embodiment of the present invention also provide a kind of terminal, including memory and processor, and memory is for depositing
Storage supports processor to execute the program for the clothes recognition methods that above-mentioned aspect provides, and processor is configurable for executing memory
The program of middle storage.
Fourth aspect, the embodiment of the present invention also provide a kind of computer readable storage medium, computer readable storage medium
On be stored with computer program, when computer program is run by processor execute any of the above-described method the step of.
Clothes recognition methods provided in an embodiment of the present invention and device, wherein the clothes recognition methods includes: firstly, mentioning
The data information in a dress designing is taken, an above-mentioned dress designing refers to that at least having contained design factor can produce
The dress designing for coming or having manufactured, data information and the clothes correspond, which can characterize
Key factor in one dress designing, secondly, passing through data information pre- to effectively examine or check the current fashion of clothes
First trained clothes identification model is identified, since trained clothes identification model is according to a variety of clothes instantly in advance
It trains, therefore, which can be good at measuring current fashion, later, according to the knot of identification
Fruit obtains the design feature information of dress designing, when the design feature information designed in this way can be good at being bonded current
Still trend can more targetedly consider the design of the dress designing by above-mentioned processing during dress designing
Value, so that more convenient to considering for dress designing.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification, claims
And specifically noted structure is achieved and obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 shows the first pass figure of clothes recognition methods provided by the embodiment of the present invention；
Fig. 2 shows the first sub-process figures of step S101 in clothes recognition methods provided by the embodiment of the present invention；
Fig. 3 shows the second sub-process figure of step S101 in clothes recognition methods provided by the embodiment of the present invention；
Fig. 4 shows the structure connection figure of clothes identification device provided by the embodiment of the present invention.
Icon: 1- data extraction module；2- trains identification module；3- design feature generation module.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
In the current life and work of people, clothes have no longer only acted as the effect of clothes, and even more one
The performance of the identity, life attitudes and charisma of people.Since social environment etc. understands Real-time, and dress designing is also necessary
It could be by the favor of consumer immediately following fashion.But fashion is real with many factors such as society, science and technology, amusements
Shi Biandong's, the fashion for how enabling the clothes of design meet instantly is a problem, mesh for clothing design
Before there is no effective solution method.
Based on this, the embodiment of the invention provides clothes recognition methods and devices, are described below by embodiment.
Embodiment 1
Referring to figure 1, figure 2 and figure 3, the present embodiment propose clothes recognition methods specifically includes the following steps:
Step S101: the data information in a dress designing is extracted.
In the present embodiment, an above-mentioned dress designing refers to that at least having contained design factor can make or
A dress designing through making usually first designs data information in the design process of clothes, later, according to
Above-mentioned data information makes clothes.Therefore, above-mentioned data information and a dress designing are one-to-one, also, usually
Above-mentioned data information is united with a dress designing and is stored, to facilitate designer and producer etc. to check.
And size, style, color of clothes itself etc. can not be directly comprehensively compared, and therefore, in the clothes recognition methods, be needed
First extract the data information in a dress designing.
Step S102: data information is identified by clothes identification model trained in advance.
In the present embodiment, it is instructed since clothes identification model trained in advance is the clothes of comprehensive current multiple types
Practise the characteristic model come.Therefore, in implementation process, above-mentioned data information is input to the clothes identification model and is identified
In can fast and accurately identify the typical case of fashion, classification and color of a dress designing corresponding with data information etc.
Feature, the result that can be fast and accurately identified.
Step S103: the design feature information of dress designing is obtained according to the result of identification.
After the result for obtaining above-mentioned identification, the design feature letter of dress designing corresponding to the clothes can be obtained
Breath has obtained the characteristic feature of fashion, classification and color of one dress designing of characterization etc. by clothes identification model
Design feature information.It needs to be illustrated, which has specifically included the size of a dress designing, money
The specifying informations such as formula, color proportion, and it is the conception information of designer and producer that above-mentioned data information, which more characterizes, with
The design feature information is compared, more abstract.
Here the generating process of lower clothes identification model is introduced first, and above-mentioned steps S102 is by data information by instructing in advance
Before the step of experienced clothes identification model is identified, comprising:
(1) row shooting is put into more suits respectively, obtains multiple garment images.
It needs to be illustrated, above-mentioned more set clothes are to investigate fashion, characteristic of division in advance by big data
With color characteristic.In the present embodiment, row shooting is put into more suits, and obtaining multiple garment images can be more comprehensive
To carry out comprehensive consideration to fashion, characteristic of division and color characteristic.Here, the tricks of clothes also needs to consider subsequent training
The many and diverse factor calculated, when it is implemented, the tricks of clothes according to circumstances can flexibly be set.
(2) the fashion factor of multiple garment images is trained, obtains fashion tag recognition model.
In implementation process, first the fashion factor of multiple garment images is trained, that is, integrates every garment image
After fashion factor calculates, the fashion tag recognition model that can examine or check the fashion degree of some fashion factor is obtained.
(3) the classification factor of multiple garment images is trained, obtains Classification and Identification model.
In implementation process, the classification factor of multiple garment images is trained, that is, integrates point of every garment image
After class factor calculates, the Classification and Identification model that can examine or check the classification satisfaction of some classification factor is obtained.It needs to be illustrated
, the type of classification, which can be, classifies according to the style of clothes, material or translucency.
(4) color factors of multiple garment images are trained, obtain color identification model.
In implementation process, the color factors of multiple garment images are trained, that is, integrate the face of every garment image
After color factor calculates, the color identification model that can examine or check the color satisfaction of some color factors is obtained.It needs to be illustrated
, the type of color can be classifies according to default rule.
(5) fashion tag recognition model, Classification and Identification model and color identification model is combined to generate clothes identification model.
In this embodiment, it can be integrated after the fashion label of comprehensive clothes, classification and color and generate clothes identification model.I.e.
Fashion tag recognition model, Classification and Identification model and color identification model are combined to form a clothes identification
Model carries out Comprehensive Assessment to treat the dress designing considered.
A kind of generating process of data information is specifically told about below, and above-mentioned steps S101 extracts the money in a dress designing
The step of expecting information, specifically includes:
Step S10111: a dress designing is shot, the picture of dress designing is obtained.
Since dress designing is mostly the frame information described in drawing or drafting instrument, rather than garment body.Cause
This measures dress designing in order to unified, first shoots to a dress designing in the present embodiment, to obtain clothes
Install the picture of meter.
Step S10112: multiple and different element informations of dress designing are extracted from picture.
In order to comprehensively and effectively measure dress designing, after getting the picture of dress designing, need to extract from picture
The element information of dress designing also, is different in general, the element information extracted has multiple between each element, with from
Different aspect considers dress designing.
Step S10113: data information is generated according to multiple and different element informations.
Later, data information is generated according to above-mentioned multiple and different element information, uses and compare for the ease of subsequent,
Above-mentioned data information is usually electronic parameter form.
The generating process of another data information is specifically told about below, and above-mentioned steps S101 is extracted in a dress designing
The step of data information, specifically includes:
Step S10121: the design archive information of a dress designing is searched.
Since the dress designing of complete set is as made of multiple details synthesis.When need to a dress designing into
When row synthesis examination, the design archive information an of dress designing can be searched, directly so as to conveniently obtain one
The global feature of dress designing.
Step S10122: multiple and different archives element informations is extracted from design archive information.
Later, archives element information is extracted, from above-mentioned design archive information to consider to dress designing.In general,
The archives element information of extraction has multiple, also, is different between each archives element information, to come in terms of different
Dress designing is considered.Different from multiple and different element informations is obtained by picture, archives element information is mostly with text
The form of word and symbol indicates.
Step S10123: data information is generated according to multiple and different archives element informations.
Later, data information is generated according to above-mentioned multiple and different archives element information, for the ease of it is subsequent using and
Compare, above-mentioned data information is usually electronic parameter form.
The step of above-mentioned steps S102 is identified data information by clothes identification model trained in advance, comprising:
(1) data information is input in clothes identification model trained in advance.
When it is implemented, being input to preparatory instruction as input parameter after extracting the data information of dress designing
It is considered in experienced clothes identification model.
(2) clothes identification model carries out various dimensions identification to data information according to training rules.
The process considered is that clothes identification model identifies data information according to training rules, needs to be illustrated
, above-mentioned training rules are more according to the data information progress of fashion factor, classification factor and color factors to input respectively
Dimension identification.
In addition, in order to consider influence of the sales situation of clothes to its design feature, the clothes recognition methods further include:
(1) image information and sales volume information for having sold clothes are obtained.
The image information for having sold clothes is obtained by way of shooting picture, meanwhile, obtain the sales volume information for having sold clothes.
Having sold clothes for every in this way can be measured by two parameters of image information and sales volume information.
(2) image information is identified by clothes identification model trained in advance, obtains sale design feature information.
Image information was input in clothes identification model trained in advance, later, it was identified before this, so as to
It obtains selling design feature information accordingly.
(3) sale design feature information and sales volume information are trained, obtain vision situation of selling well model.
Later, what is integrated in order to obtain considers effect, will sell design feature information and sales volume information is trained, and lead to
It crosses training and obtains vision situation of selling well model.
In addition, the clothes recognition methods further include:
(1) when data information has it is multiple when, i.e., it is right respectively by vision situation of selling well model when corresponding dress designing has multiple
Multiple data informations carry out sales forecast.It needs exist for being illustrated, the purpose for carrying out sales forecast is in order to further
Consider the market situation of dress designing.
(2) also, in order to effectively feed back market situation, multiple recommendation dress designing are generated according to the result of sales forecast
Information, effectively to be corrected to the data information of dress designing.
(3) for the feedback for considering market definitely, by multiple recommendation dress designing information according to recommendation etc.
The sequence of grade from high to low is ranked up, to conveniently check.It needs exist for being illustrated, certain recommendation clothes therein
Design information can also be shown using mark is highlighted.
In conclusion clothes recognition methods provided in this embodiment includes: firstly, extracting the data in a dress designing
Information, the data information can characterize the key factor in a dress designing, secondly, data information is passed through training in advance
Clothes identification model identified, due to, in advance trained clothes identification model be trained according to a variety of clothes instantly come
, therefore, which can be good at the current fashion of examination clothes and is obtained later according to the result of identification
To the design feature information of dress designing, to enable dress designing to be preferably bonded current fashion, by preparatory
The data information in dress designing is examined or check, the anticipation to the design value of dress designing is conveniently realized.
Embodiment 2
Referring to fig. 4, present embodiments providing clothes identification device includes:
Data extraction module 1, for extracting the data information in a dress designing；
Training identification module 2, for identifying data information by clothes identification model trained in advance；
Design feature generation module 3 obtains the design feature information of dress designing for the result according to identification.
Clothes identification device provided in an embodiment of the present invention has identical with clothes recognition methods provided by the above embodiment
Technical characteristic reach identical technical effect so also can solve identical technical problem.
The embodiment of the invention also provides a kind of terminal, including memory and processor, memory is supported for storing
Processor executes the program of above-described embodiment method, and processor is configurable for executing the program stored in memory.
The embodiment of the present invention also provides a kind of computer readable storage medium, and meter is stored on computer readable storage medium
Calculation machine program, when computer program is run by processor the step of the method for execution any of the above-described.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight
Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other.
The technical effect and preceding method of clothes recognition methods and device provided by the embodiment of the present invention, realization principle and generation are real
It is identical to apply example, to briefly describe, Installation practice part does not refer to place, can refer to corresponding contents in preceding method embodiment.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, flow chart and block diagram in attached drawing
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.In this regard, each box in flowchart or block diagram can represent the one of a module, section or code
Part, a part of the module, section or code, which includes that one or more is for implementing the specified logical function, to be held
Row instruction.It should also be noted that function marked in the box can also be to be different from some implementations as replacement
The sequence marked in attached drawing occurs.For example, two continuous boxes can actually be basically executed in parallel, they are sometimes
It can execute in the opposite order, this depends on the function involved.It is also noted that every in block diagram and or flow chart
The combination of box in a box and block diagram and or flow chart can use the dedicated base for executing defined function or movement
It realizes, or can realize using a combination of dedicated hardware and computer instructions in the system of hardware.
In addition, each functional module or unit in each embodiment of the present invention can integrate one independence of formation together
Part, be also possible to modules individualism, an independent portion can also be integrated to form with two or more modules
Point.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence, indication or suggestion relative importance can not be interpreted as.Moreover, term " packet
Include ", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion so that including the mistake of a series of elements
Journey, method, article or equipment not only include those elements, but also including other elements that are not explicitly listed, either
It further include for elements inherent to such a process, method, article, or device.In the absence of more restrictions, by sentence
The element that "including a ..." limits, it is not excluded that also deposit in the process, method, article or apparatus that includes the element
In other identical element.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should also be noted that similar label and letter exist
Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing
It is further defined and explained.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. clothes recognition methods characterized by comprising
Extract the data information in a dress designing；
The data information is identified by clothes identification model trained in advance；
The design feature information of dress designing is obtained according to the result of identification.
2. clothes recognition methods according to claim 1, which is characterized in that the data extracted in a dress designing
The step of information, comprising:
One dress designing is shot, the picture of dress designing is obtained；
Multiple and different element informations of dress designing are extracted from the picture；
The data information is generated according to multiple and different element informations.
3. clothes recognition methods according to claim 1, which is characterized in that the data extracted in a dress designing
The step of information, comprising:
Search the design archive information an of dress designing；
Multiple and different archives element informations is extracted from the design archive information；
The data information is generated according to multiple and different archives element informations.
4. clothes recognition methods according to claim 1, which is characterized in that described pass through the data information is instructed in advance
Before the step of experienced clothes identification model is identified, comprising:
Row shooting is put into more suits respectively, obtains multiple garment images；
The fashion factor of multiple garment images is trained, fashion tag recognition model is obtained；
The classification factor of multiple garment images is trained, Classification and Identification model is obtained；
The color factors of multiple garment images are trained, color identification model is obtained；
Clothes, which are generated, in conjunction with the fashion tag recognition model, the Classification and Identification model and the color identification model identifies mould
Type.
5. clothes recognition methods according to claim 1, which is characterized in that described pass through the data information is instructed in advance
The step of experienced clothes identification model is identified, comprising:
The data information is input in the clothes identification model of training in advance；
The clothes identification model carries out various dimensions identification to the data information according to training rules.
6. clothes recognition methods according to claim 1, which is characterized in that the method also includes:
Obtain the image information and sales volume information for having sold clothes；
Described image information is identified by the clothes identification model of training in advance, obtains sale design feature letter
Breath；
The sale design feature information and the sales volume information are trained, vision situation of selling well model is obtained.
7. clothes recognition methods according to claim 6, which is characterized in that the method also includes:
When the data information has multiple, multiple data informations are sold respectively by the vision situation of selling well model
Prediction；
Multiple recommendation dress designing information are generated according to the result of sales forecast；
Multiple recommendation dress designing information are ranked up according to the sequence of recommendation grade from high to low.
8. clothes identification device characterized by comprising
Data extraction module, for extracting the data information in a dress designing；
Training identification module, for identifying the data information by clothes identification model trained in advance；
Design feature generation module obtains the design feature information of dress designing for the result according to identification.
9. a kind of terminal, which is characterized in that including memory and processor, the memory supports processor to hold for storing
The program of any one of row claim 1 to 7 the method, the processor is configured to being stored in the memory for executing
Program.
10. a kind of computer readable storage medium, it is stored with computer program on computer readable storage medium, feature exists
In when computer program is run by processor the step of any one of execution the claims 1 to 7 the method.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810800401.3A CN109063755A (en) | 2018-07-19 | 2018-07-19 | Clothes recognition methods and device |
| CN201910604280.XA CN110147854A (en) | 2018-07-19 | 2019-07-05 | Clothes recognition methods, computer equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810800401.3A CN109063755A (en) | 2018-07-19 | 2018-07-19 | Clothes recognition methods and device |
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| CN109063755A true CN109063755A (en) | 2018-12-21 |
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| CN112035601A (en) * | 2019-06-03 | 2020-12-04 | 阿里巴巴集团控股有限公司 | Intelligent aided design method and device and electronic equipment |
| CN112035994A (en) * | 2019-06-03 | 2020-12-04 | 阿里巴巴集团控股有限公司 | Intelligent aided design method and device and electronic equipment |
| CN112035904A (en) * | 2019-06-03 | 2020-12-04 | 阿里巴巴集团控股有限公司 | Intelligent aided design method and device and electronic equipment |
| CN112906084A (en) * | 2021-03-05 | 2021-06-04 | 上海青甲智能科技有限公司 | Digital dress designing system capable of intelligently identifying dress designing manuscripts |
| CN113051778A (en) * | 2021-05-12 | 2021-06-29 | 北京深尚科技有限公司 | Clothing design method and device, electronic equipment and storage medium |
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2018
- 2018-07-19 CN CN201810800401.3A patent/CN109063755A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112035601A (en) * | 2019-06-03 | 2020-12-04 | 阿里巴巴集团控股有限公司 | Intelligent aided design method and device and electronic equipment |
| CN112035994A (en) * | 2019-06-03 | 2020-12-04 | 阿里巴巴集团控股有限公司 | Intelligent aided design method and device and electronic equipment |
| CN112035904A (en) * | 2019-06-03 | 2020-12-04 | 阿里巴巴集团控股有限公司 | Intelligent aided design method and device and electronic equipment |
| CN112035904B (en) * | 2019-06-03 | 2024-10-18 | 阿里巴巴(上海)有限公司 | Intelligent aided design method and device and electronic equipment |
| CN112906084A (en) * | 2021-03-05 | 2021-06-04 | 上海青甲智能科技有限公司 | Digital dress designing system capable of intelligently identifying dress designing manuscripts |
| CN113051778A (en) * | 2021-05-12 | 2021-06-29 | 北京深尚科技有限公司 | Clothing design method and device, electronic equipment and storage medium |
| CN113051778B (en) * | 2021-05-12 | 2024-01-16 | 北京慧美未来科技有限公司 | Garment design method, device, electronic equipment and storage medium |
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