Intelligent garment style identification, classification and generation all-in-one machine

Abstract

The invention relates to the technical field of clothing identification and classification, and discloses an intelligent clothing style identification, classification and generation all-in-one machine, which comprises a machine body, the upper part of the machine body is connected with a clothing identification mechanism for clothing style identification and classification through an electric rotating drum, and the front part of the machine body is provided with an information display screen for displaying clothing identification information; a bottom support used for placing clothes is further installed on the lower portion of the machine body, an overturning plate is installed on the front portion of the bottom support through a bevel rotating drum, the clothes recognition mechanism comprises an installation shell installed on the front portion of an electric rotating drum, and a touch terminal used for selecting equipment functions is installed on the upper portion of the installation shell. According to the garment style identification, classification and generation integrated equipment, the garment identification mechanism is arranged and matched with a plurality of functional mechanisms arranged in the integrated machine to form the garment style identification, classification and generation integrated equipment, various garments can be efficiently identified and classified, complex operation procedures are not needed, and a user can quickly master the equipment and adapt to different use scenes.

Description

Technical Field

[0001] The present invention relates to the technical field of clothing recognition and classification, and in particular to an intelligent clothing style recognition, classification and generation integrated machine. Background Art

[0002] With the continuous development of the Internet, online shopping has become increasingly popular. Online shopping has the advantages of convenience without going out, and its goods are relatively cheap and there are many types to choose from, which makes more and more consumers tend to choose to shop online. The market scale of online clothing shopping is constantly expanding, and the market transaction scale of clothing is also showing a trend of increasing year by year.

[0003] Today's consumers are no longer satisfied with the same old clothing styles, and their demand for personalized and unique clothing is increasing. They hope to quickly find clothing that suits their style and needs, and to be able to participate in the clothing design process. However, the clothing market is highly competitive, and brands and designers need to constantly launch new styles and designs to attract consumers' attention. The traditional clothing design process is time-consuming and inefficient, and it is difficult to meet the rapid changes in the market. With the continuous advancement of artificial intelligence technology, especially deep learning and computer vision technology, technical support has been provided for intelligent clothing style recognition, classification and generation. Computer vision technology can accurately identify and analyze clothing images, and identify clothing styles, colors, patterns and other features; deep learning algorithms can be trained with a large amount of clothing data to learn the characteristics and rules of different clothing styles, thereby achieving accurate classification and generation of clothing styles.

[0004] In order to help designers and engineers better understand and apply intelligent technology and promote consumer participation, the present invention provides an intelligent clothing style recognition, classification and generation all-in-one machine, aiming to promote the development of intelligent clothing style recognition and generation technology. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides an intelligent clothing style recognition, classification and generation all-in-one machine, which solves the problem that the traditional clothing design process is time-consuming, inefficient and difficult to meet the rapid changes in the market.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent clothing style identification, classification and generation all-in-one machine, comprising: a body, the upper part of which is connected to a clothing identification mechanism for clothing style identification and classification through an electric rotating drum, the front part of which is equipped with an information display screen for displaying clothing identification information, the lower part of which is also equipped with a bottom support for placing clothing, and the front part of the bottom support is equipped with a flip plate through an angled rotating drum.

[0007] Preferably, the clothing recognition mechanism includes a mounting shell installed on the front of the electric drum, a touch terminal for selecting device functions is installed on the upper part of the mounting shell, a rotating column is rotatably mounted on the middle part of the mounting shell, a plurality of teeth are equidistantly arranged on one side of the outer wall of the rotating column, a camera for recording external images is installed on the front part of the rotating column, an electric push rod is fixedly mounted on one side of the inner part of the mounting shell, and a rack plate is fixedly connected to the front end of the rod body of the electric push rod.

[0008] Preferably, the rack plate is meshed with the teeth on the rotating column, a limiting slide rod is slidably installed on one end of the rack plate, one end of the limiting slide rod is fixedly connected to the other side of the interior of the mounting shell, and sound-emitting units for playing sound are provided on both sides of the front of the mounting shell.

[0009] Preferably, the intelligent clothing style recognition, classification and generation integrated machine also includes:

[0010] An image acquisition module, used to acquire image information of clothing to be identified;

[0011] An image processing module connected to the image acquisition module, the image processing module includes an image preprocessing unit for performing preprocessing operations such as denoising and contrast enhancement on the acquired image information, and a feature extraction unit for extracting feature information related to clothing styles from the preprocessed image, the feature information including at least one of the contour feature, pattern feature, and color feature of the clothing;

[0012] A style recognition and classification module is connected to the image processing module, and includes a database pre-stored with a plurality of clothing style feature templates, and a recognition and classification unit, and the recognition and classification unit matches the extracted clothing style feature information with the style feature templates in the database to determine the style category of the clothing to be recognized;

[0013] A clothing style generation module is connected to the style recognition and classification module, and includes a style element library, wherein the style element library stores a plurality of clothing style elements, and a generation unit, wherein the generation unit selects relevant elements from the style element library according to the identified clothing style category, and generates a new clothing style related to the identified style category according to a preset rule;

[0014] The display module is connected to the style recognition and classification module and the clothing style generation module, and is used to display the recognized clothing style categories and the generated new clothing styles.

[0015] Preferably, the image preprocessing unit uses a median filtering algorithm to perform denoising.

[0016] Preferably, the style feature templates in the database are classified and stored according to clothing styles, seasons, and applicable occasions.

[0017] Preferably, the clothing style elements in the style element library include neckline styles, cuff styles, skirt styles, and clothing pattern materials.

[0018] Preferably, it also includes a data updating module, which is connected to the database of the style identification and classification module and the style element library of the clothing style generation module, and is used to obtain new clothing style feature templates and style elements from an external data source and update them.

[0019] Preferably, the external data source includes an online fashion database and clothing style information uploaded by users.

[0020] Preferably, the display module is a touch screen display module, which supports users to perform interactive operations on the identified and generated clothing styles, and the interactive operations include zooming in, zooming out, partial viewing, and selecting a basic style for generating a new style.

[0021] Working principle: The present invention is mainly divided into two parts, one is an integrated machine as a physical device, and the other is various modules installed in the chipset inside the integrated machine for use in conjunction, which together constitute a set of clothing style recognition classification and generation system. At the device level, the integrated machine adopts the form of video recording and recognition to identify and classify the clothing on the user or spread out. In actual use, by adjusting the rotation angle of the electric drum, the recognition area of ​​the clothing recognition mechanism can be changed. The clothing recognition mechanism is provided with a camera for acquiring clothing images. When in use, by starting the electric push rod inside the clothing recognition mechanism, the rod body will drive the rack plate to extend and retract. During the extension and retraction of the rack plate, the rotating column with multiple teeth on the outer wall will be driven to rotate through meshing, thereby driving the camera to change the recording angle and expand the image acquisition range of the device. At the same time, by opening the flip plate connected to the front 5, the placement area of ​​the clothing can be increased. At the same time, in the present invention, the information display screen will display the category information of the current clothing, and display the recommended optimized clothing matching preview image, etc. By manipulating the touch terminal in the clothing recognition mechanism, the current function of the device can be set;

[0022] Specifically, the present invention is equipped with multiple functional modules. The all-in-one machine starts working through the image acquisition module. The camera is responsible for collecting image information of the clothing to be identified. This process is the basis for the operation of the entire system. The quality of the collected image directly affects the subsequent processing effect.

[0023] The collected image information is transmitted to the image processing module. First, the image preprocessing unit performs operations such as denoising and contrast enhancement on the image. Denoising can remove noise points in the image caused by various factors (such as interference in the shooting environment, etc.) to make the image clearer. Contrast enhancement can highlight the details in the image.

[0024] Next, the feature extraction unit extracts feature information related to clothing styles from the preprocessed image. This feature information includes the contour features of the clothing, which can reflect the overall shape and structure of the clothing; pattern features, which are used to describe pattern-related information such as patterns and decorations on the clothing; and color features, including information such as the color distribution of the clothing. By extracting these features, key data is provided for subsequent style recognition and classification.

[0025] The feature information extracted by the image processing module is passed to the style recognition and classification module. In this module, the recognition and classification unit matches these feature information with a variety of clothing style feature templates pre-stored in the database. The templates in the database are stored in different classification methods, which is convenient for fast and accurate matching. By comparing the similarity of the features, the system can determine the style category of the clothing to be identified.

[0026] After the style category of the clothing is determined, the information is transmitted to the clothing style generation module. The generation unit selects relevant elements from the style element library according to the identified style category. The style element library stores a variety of clothing style elements, such as neckline style, cuff style, skirt style, clothing pattern materials, etc. The selected elements are combined and designed to generate a new clothing style related to the identified style category.

[0027] Finally, the display module displays the identified clothing style categories and the generated new clothing styles. Users can intuitively see the relevant information through the display module. Users can also perform interactive operations, such as zooming in, zooming out, viewing a partial image, or selecting a style as the basic style for generating a new style.

[0028] In summary, the intelligent clothing style recognition, classification and generation all-in-one machine realizes a complete workflow from clothing image acquisition to style recognition and classification to new style generation and display through the collaborative work of various modules.

[0029] The present invention provides an intelligent clothing style recognition, classification and generation integrated machine. It has the following beneficial effects:

[0030] 1. The present invention provides a clothing recognition mechanism, which cooperates with multiple functional mechanisms provided inside the all-in-one machine to form an integrated device for clothing style recognition, classification and generation. It adopts a video recording recognition form, and can efficiently recognize and classify clothes worn by users or clothes laid out without complicated operation procedures, so that users can quickly get started and adapt to different usage scenarios.

[0031] 2. The present invention can change the recognition area of ​​the clothing recognition mechanism by adjusting the rotation angle of the electric drum. This allows the device to flexibly adjust the recognition range when facing clothing of different sizes and different placements, ensuring that clothing information can be fully and accurately obtained, thereby improving the adaptability and practicality of the device.

[0032] 3. The present invention utilizes the operation of the electric push rod to drive the rack plate to extend and retract, and the meshing action of the rack plate and the rotating column drives the rotating column to rotate, thereby driving the camera to change the shooting angle, thereby expanding the image acquisition range of the device, capturing clothing images from multiple angles, avoiding the loss of image information due to a single angle, and further improving the quality and integrity of image acquisition. At the same time, by opening the flip plate installed in the front, the placement area of ​​the clothing can be increased, which is very beneficial for some larger-sized clothing or the situation where multiple pieces of clothing need to be processed at the same time, providing users with a larger operating space, making the operation more convenient and efficient.

[0033] 4. The present invention installs an integrated system in the all-in-one machine, and the image acquisition module lays the foundation for the system operation. The image processing module can remove noise and enhance contrast to optimize the image. The feature extraction unit comprehensively extracts clothing feature information and provides data for the style recognition and classification module. It can accurately identify style categories through a database that stores templates according to multiple classifications. The clothing style generation module can innovatively generate new styles. The display module cooperates to clearly display information and provides multiple interactive operations for user convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a front perspective view of the present invention;

[0035] Figure 2 A bottom view of the present invention;

[0036] Figure 3 It is a rear perspective view of the present invention;

[0037] Figure 4 It is a schematic diagram of the expansion board of the present invention in the unfolded state;

[0038] Figure 5 It is a schematic diagram of the structure of the clothing identification mechanism of the present invention;

[0039] Figure 6It is a schematic diagram of the functional module architecture of the present invention;

[0040] Figure 7 This is a diagram of the image processing module architecture of the present invention;

[0041] Figure 8 This is a schematic diagram of the style identification and classification module architecture of the present invention;

[0042] Fig. 9 This is a schematic diagram of a clothing style generation module of the present invention;

[0043] Among them, 1. body; 2. electric rotating drum; 3. clothing recognition mechanism; 301. installation shell; 302. touch terminal; 303. rotating column; 304. camera; 305. electric push rod; 306. rack plate; 307. limit slide bar; 308. sound unit; 4. information display screen; 5. bottom support; 6. flip plate. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] Please see attached Figure 1 -Attached Figure 5 The embodiment of the present invention provides an intelligent clothing style identification, classification and generation integrated machine, comprising: a body 1, the upper part of the body 1 is connected to a clothing identification mechanism 3 for clothing style identification and classification through an electric drum 2, the front part of the body 1 is equipped with an information display screen 4 for displaying clothing identification information, and the lower part of the body 1 is also equipped with a bottom support 5 for placing clothing, and the front part of the bottom support 5 is equipped with a flip plate 6 through an angled drum.

[0046] The clothing recognition mechanism 3 includes a mounting shell 301 mounted on the front of the electric drum 2, a touch terminal 302 for selecting device functions is mounted on the upper part of the mounting shell 301, a rotating column 303 is rotatably mounted in the middle part of the mounting shell 301, a plurality of teeth are equidistantly arranged on one side of the outer wall of the rotating column 303, a camera 304 for recording external images is mounted on the front part of the rotating column 303, an electric push rod 305 is fixedly mounted on one side of the inner part of the mounting shell 301, and a rack plate 306 is fixedly connected to the front end of the rod body of the electric push rod 305.

[0047] The rack plate 306 is meshed with the teeth on the rotating column 303, and a limiting slide rod 307 is slidably installed on one end of the rack plate 306. One end of the limiting slide rod 307 is fixedly connected to the other side of the inside of the mounting shell 301, and sound-emitting units 308 for playing sound are provided on both sides of the front of the mounting shell 301.

[0048] Specifically, the present invention is mainly divided into two parts, one is an all-in-one machine as a physical device, and the other is various modules installed in the chipset inside the all-in-one machine for use together, which together constitute a set of clothing style recognition classification and generation system. At the device level, the all-in-one machine adopts the form of video recording recognition to recognize and classify the clothes on the user or spread out. In actual use, by adjusting the rotation angle of the electric drum 2, the recognition area of ​​the clothing recognition mechanism 3 can be changed. The clothing recognition mechanism 3 is provided with a camera 304 for obtaining clothing images. When in use, by starting the clothing recognition mechanism 3, the clothing recognition mechanism 3 can be used to identify and classify the clothing. The electric push rod 305 operates, and its rod body will drive the rack plate 306 to extend and retract. During the extension and retraction of the rack plate 306, the rotating column 303 with multiple teeth on the outer wall will be driven to rotate through the meshing action, thereby driving the camera 304 to change the recording angle and expand the image acquisition range of the device. At the same time, by opening the flip plate 6 installed in front of 5, the placement area of ​​​​the clothing can be increased. At the same time, in the present invention, the information display screen will display the category information of the current clothing, as well as the recommended optimized clothing matching preview picture, etc. By manipulating the touch terminal 302 in the clothing recognition mechanism 3, the current function of the device can be set.

[0049] Please see attached Figure 6 -Attached Fig. 9 The intelligent clothing style recognition, classification and generation integrated machine provided by the present invention also includes: an image acquisition module, which is used to acquire image information of clothing to be identified; an image processing module, which is connected to the image acquisition module, and the image processing module includes an image preprocessing unit, which is used to perform preprocessing operations such as denoising and contrast enhancement on the acquired image information, and a feature extraction unit, which is used to extract feature information related to clothing styles from the preprocessed image, wherein the feature information includes at least one of the contour feature, pattern feature and color feature of the clothing, and the image preprocessing unit uses a median filtering algorithm to perform denoising processing;

[0050] For median filtering, grayscale image gray i In mage, the pixels in the window form a set:

[0051] S={s ij},

[0052] Among them, i and j represent the offset of the pixel point in the window relative to the central pixel point (x, y). Then: sort all the pixel values ​​in the set S and take the value in the middle position as the value of the pixel point after filtering.

[0053] If the number of elements in the set S is an odd number m, let the sorted set be: {s1,s2,…, sm},

[0054] The filter value is:

[0055] filtered(x,y)=,

[0056] In the system code, cv2.medianBlur(gray i mage, 5) is a grayscale image i The pixels in the image are processed according to the above median filtering rules to obtain the filtered image. i mage.

[0057]

[0058] Specifically, based on the principle of optical imaging, light is irradiated onto the surface of clothing and then reflected into the lens of the camera (304). The photosensitive element (such as CCD or CMOS) in the camera (304) converts the light signal into an electrical signal, which is then converted into a digital image through analog-to-digital conversion. The digital image contains two-dimensional visual information of the clothing, such as color, texture, shape, etc.

[0059] After the image preprocessing unit receives the image information from the image acquisition module, it first uses the median filtering algorithm to perform denoising. The median filtering algorithm replaces the value of each pixel in the image with the median of its neighborhood pixel values, thereby removing noise points in the image.

[0060] Then, operations such as contrast enhancement are performed, which involves adjusting parameters such as image brightness, contrast, and color saturation to make the features of the clothing more obvious and facilitate subsequent feature extraction.

[0061] The median filtering algorithm is based on statistical principles and can effectively remove impulse noise while retaining the edge and detail information of the image. In terms of contrast enhancement, by adjusting the distribution of image pixel values, the differences between clothing and background and between different parts of clothing are more significant. By increasing brightness and contrast, the outline, pattern and color of clothing can be made clearer.

[0062] The feature extraction unit extracts the feature information related to the clothing style from the preprocessed image. Specifically, it analyzes the pixel distribution and color information in the image, and extracts the contour features, pattern features, color features, etc. of the clothing. For the contour features, the edge detection algorithm (such as Sobel operator, Canny operator, etc.) is used to identify the outer contour and the contour of the internal structure of the clothing. For the pattern features, the repeated textures and patterns of specific shapes in the image are analyzed. The color features are determined by statistically analyzing the distribution and proportion of different colors in the image.

[0063] A style recognition and classification module is connected to the image processing module. The style recognition and classification module includes a database pre-stored with a plurality of clothing style feature templates, and a recognition and classification unit. The recognition and classification unit matches the extracted clothing style feature information with the style feature templates in the database to determine the style category of the clothing to be recognized;

[0064] A clothing style generation module is connected to the style recognition and classification module. The clothing style generation module includes a style element library, which stores a variety of clothing style elements, and a generation unit. The generation unit selects relevant elements from the style element library according to the identified clothing style category, and generates a new clothing style related to the identified style category according to preset rules;

[0065] Specifically, the recognition and classification unit matches the clothing style feature information extracted from the image with the style feature templates in the database. It calculates the similarity between the extracted features and each template feature, and sets a certain similarity threshold. When the similarity exceeds the threshold, it determines that the clothing to be identified belongs to the style category corresponding to the template.

[0066] The similarity calculation can be based on a variety of algorithms, such as Euclidean distance, cosine similarity, etc. These algorithms measure similarity by comparing the distance or angle between feature vectors. For example, for the contour feature vector, pattern feature vector, and color feature vector of clothing, the similarity with the template feature vector is calculated respectively, and then these similarities are comprehensively considered to determine the final matching result.

[0067] The display module is connected with the style recognition and classification module and the clothing style generation module, and is used to display the recognized clothing style categories and the generated new clothing styles.

[0068] The style feature templates in the database are classified and stored according to clothing style, season, and applicable occasion.

[0069] The clothing style elements in the style element library include neckline styles, cuff styles, skirt styles, and clothing pattern materials. These elements are the basic components of clothing styles.

[0070] The storage of these elements is based on the basic principles of clothing design, breaking down clothing into various combinable parts. Each element has specific design features and style attributes. Through the combination of different elements, a rich variety of clothing styles can be created.

[0071] Furthermore, the present invention also includes a data updating module, which is connected to the database of the style recognition and classification module and the style element library of the clothing style generation module, and is used to obtain new clothing style feature templates and style elements from an external data source and update them.

[0072] External data sources include online fashion databases and clothing style information uploaded by users.

[0073] The display module is a touch screen display module. The touch screen display module supports users to interact with the identified and generated clothing styles. The interactive operations include zooming in, zooming out, partial viewing, and selecting as the basic style for generating new styles. The display module is connected with the style recognition and classification module and the clothing style generation module to display the identified clothing style categories and the generated new clothing styles.

[0074] When the identification and classification are completed, the display module will show which style category the clothing to be identified belongs to. At the same time, the generated new clothing style will be displayed in the form of an image, allowing users to intuitively see the design effect of the new style. In this process, the clothing style generation module is based on the creativity and combination principles of clothing design. It selects matching elements according to the style and design features corresponding to the style category, and combines them according to the principles of aesthetics and practicality. For example, for clothing for formal occasions, simpler and more atmospheric elements will be selected, and combined in a symmetrical and balanced manner; for fashionable and trendy style clothing, some novel and unique elements will be selected, and an exaggerated and asymmetrical combination will be adopted.

[0075] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent clothing style recognition, classification and generation integrated machine, characterized by: include: A machine body (1), the upper part of the machine body (1) is connected to a clothing identification mechanism (3) for identifying and classifying clothing styles via an electric rotating drum (2), the front part of the machine body (1) is equipped with an information display screen (4) for displaying clothing identification information, the lower part of the machine body (1) is also equipped with a bottom support (5) for placing clothing, and the front part of the bottom support (5) is equipped with a flip plate (6) via an angled rotating drum.

2. The intelligent clothing style recognition, classification and generation integrated machine according to claim 1, characterized in that: The clothing identification mechanism (3) comprises a mounting shell (301) mounted on the front of the electric drum (2); a touch terminal (302) for selecting a device function is mounted on the upper part of the mounting shell (301); a rotating column (303) is rotatably mounted in the middle of the mounting shell (301); a plurality of teeth are equidistantly arranged on one side of the outer wall of the rotating column (303); a camera (304) for recording external images is mounted on the front of the rotating column (303); an electric push rod (305) is fixedly mounted on one side of the inner part of the mounting shell (301); and a rack plate (306) is fixedly connected to the front end of the rod body of the electric push rod (305).

3. The intelligent clothing style recognition, classification and generation integrated machine according to claim 2, characterized in that: The rack plate (306) is meshed with teeth on the rotating column (303); a limit slide bar (307) is slidably mounted on one end of the rack plate (306); one end of the limit slide bar (307) is fixedly connected to the other side of the inside of the mounting shell (301); and sound generating units (308) for playing sound are arranged on both sides of the front of the mounting shell (301).

4. The intelligent clothing style recognition, classification and generation integrated machine according to claim 1, characterized in that: Also includes: An image acquisition module, used to acquire image information of clothing to be identified; An image processing module connected to the image acquisition module, the image processing module includes an image preprocessing unit for performing preprocessing operations such as denoising and contrast enhancement on the acquired image information, and a feature extraction unit for extracting feature information related to clothing styles from the preprocessed image, the feature information including at least one of the contour feature, pattern feature, and color feature of the clothing; A style recognition and classification module is connected to the image processing module, and includes a database pre-stored with a plurality of clothing style feature templates, and a recognition and classification unit, and the recognition and classification unit matches the extracted clothing style feature information with the style feature templates in the database to determine the style category of the clothing to be recognized; A clothing style generation module is connected to the style recognition and classification module, and includes a style element library, wherein the style element library stores a plurality of clothing style elements, and a generation unit, wherein the generation unit selects relevant elements from the style element library according to the identified clothing style category, and generates a new clothing style related to the identified style category according to a preset rule; The display module is connected to the style recognition and classification module and the clothing style generation module, and is used to display the recognized clothing style categories and the generated new clothing styles.

5. The intelligent clothing style recognition, classification and generation integrated machine according to claim 4, characterized in that: The image preprocessing unit uses a median filtering algorithm to perform denoising.

6. The intelligent clothing style recognition, classification and generation integrated machine according to claim 4, characterized in that: The style feature templates in the database are classified and stored according to clothing styles, seasons, and applicable occasions.

7. The intelligent clothing style recognition, classification and generation integrated machine according to claim 4, characterized in that: The clothing style elements in the style element library include neckline styles, cuff styles, skirt styles, and clothing pattern materials.

8. The intelligent clothing style recognition, classification and generation integrated machine according to claim 4, characterized in that: It also includes a data updating module, which is connected to the database of the style identification and classification module and the style element library of the clothing style generation module, and is used to obtain new clothing style feature templates and style elements from an external data source and update them.

9. The intelligent clothing style recognition, classification and generation integrated machine according to claim 8, characterized in that: The external data sources include online fashion databases and clothing style information uploaded by users.

10. The intelligent clothing style recognition, classification and generation integrated machine according to claim 1, characterized in that: The display module is a touch screen display module, which supports users to perform interactive operations on the identified and generated clothing styles, and the interactive operations include zooming in, zooming out, partial viewing, and selecting a basic style for generating a new style.

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