CN113031769A - Dial plate switching method and device, wearable device and storage medium - Google Patents

Dial plate switching method and device, wearable device and storage medium Download PDF

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Publication number
CN113031769A
CN113031769A CN202110296681.0A CN202110296681A CN113031769A CN 113031769 A CN113031769 A CN 113031769A CN 202110296681 A CN202110296681 A CN 202110296681A CN 113031769 A CN113031769 A CN 113031769A
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dial plate
dial
target
texture
recognition model
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胡宁宁
陈喆
曹冰
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G—PHYSICS
    • G04—HOROLOGY
    • G04G—ELECTRONIC TIME-PIECES
    • G04G21/00—Input or output devices integrated in time-pieces
    • G04G21/02—Detectors of external physical values, e.g. temperature
    • G04G21/025—Detectors of external physical values, e.g. temperature for measuring physiological data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification

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  • General Engineering & Computer Science (AREA)
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Abstract

The application discloses a dial plate switching method and device, wearable equipment and a storage medium, and relates to the technical field of wearable equipment. The dial plate switching method is applied to wearable equipment, and comprises the following steps: acquiring a wear image, the wear image comprising at least a portion of a garment region; inputting a clothing region in a wearing image into a pre-trained texture recognition model to obtain a texture type corresponding to the clothing region output by the texture recognition model; acquiring a target dial plate to be switched to based on the texture type; and switching the current dial plate into the target dial plate. So, through the texture type according to wearing image, automatic switch watch dial plate, greatly reduced the manual operation complexity who switches the dial plate, promoted user experience.

Description

Dial plate switching method and device, wearable device and storage medium
Technical Field
The application relates to the technical field of wearable equipment, in particular to a dial switching method and device, wearable equipment and a storage medium.
Background
With the continuous development of the intelligent technology, more and more intelligent devices enter the lives of people except the intelligent mobile phone, and great convenience is brought to people. The smart wearable devices (such as smart watches, smart bracelets, etc.) are smart devices which are now increasingly used. In order to meet the individual requirements of users, a theme shop of the smart watch usually has more different dials, and the users can select from more different dials according to their own preferences. In the related technology, a user selects a favorite dial plate from all dial plates of a theme store, but the dial plate searching process is tedious, so that the user experience is poor.
Disclosure of Invention
In view of this, the present application provides a dial switching method, an apparatus, a wearable device, and a storage medium.
In a first aspect, an embodiment of the present application provides a dial plate switching method, where the method includes: acquiring a wear image, the wear image comprising at least a portion of a garment region; inputting the clothes area in the wearing image into a pre-trained texture recognition model to obtain a texture type corresponding to the clothes area output by the texture recognition model; acquiring a target dial plate to be switched to based on the texture type; and switching the current dial plate into the target dial plate.
In a second aspect, an embodiment of the present application provides a dial switching device, where the device includes: the device comprises an image acquisition module, a texture recognition module, a dial plate acquisition module and a dial plate switching module. An image acquisition module for acquiring a wearing image, the wearing image including at least a portion of a garment region; the texture recognition module is used for inputting the clothes area in the wearing image into a pre-trained texture recognition model to obtain a texture type corresponding to the clothes area output by the texture recognition model; the dial plate obtaining module is used for obtaining a target dial plate to be switched to based on the texture type; and the dial plate switching module is used for switching the current dial plate into the target dial plate.
In a third aspect, an embodiment of the present application provides a wearable device, including: one or more processors; a memory; one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the dial plate switching method provided by the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a program code is stored in the computer-readable storage medium, and the program code may be called by a processor to execute the dial switching method provided in the first aspect.
According to the scheme, the wearing image is obtained, wherein the wearing image comprises at least part of a clothes area, the clothes area in the wearing image is input into a pre-trained texture recognition model, a texture type corresponding to the clothes area and output by the texture recognition model is obtained, the target dial plate to be switched is obtained based on the texture type, and finally the current dial plate is switched to the target dial plate. Therefore, the switching operation of the dial plate is automatically completed by acquiring the wearing image of the user, the operation complexity of manually switching the dial plate is greatly reduced, the dial plate corresponding to the texture type can be determined to serve as the target dial plate according to the texture type in the wearing image, personalized dial plate recommendation can be provided according to wearing and taking of the user, and user experience is greatly improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 shows a schematic diagram of a usage scenario provided in an embodiment of the present application.
Fig. 2 shows a flow chart of a dial switching method provided in an embodiment of the present application.
Fig. 3 shows a schematic view of a wearing image provided by an embodiment of the present application.
Fig. 4 shows a schematic view of a garment region provided by an embodiment of the present application.
Fig. 5 shows a flow chart of a dial switching method according to another embodiment of the present application.
Fig. 6 shows a schematic diagram of a face region provided in an embodiment of the present application.
Fig. 7 is a flow chart illustrating sub-steps of step S340 shown in fig. 5 in another embodiment.
Fig. 8 shows a flow chart of a dial switching method according to another embodiment of the present application.
Fig. 9 is a schematic flow chart illustrating a dial switching method according to still another embodiment of the present application.
Fig. 10 shows a flow chart of a dial switching method according to yet another embodiment of the present application.
Fig. 11 shows a schematic diagram of a subregion of a wearing image provided by an embodiment of the present application.
Fig. 12 is a block diagram of a dial switching device according to an embodiment of the present application.
Fig. 13 is a block diagram of a wearable device for executing a dial switching method according to an embodiment of the present application.
Fig. 14 is a storage unit for storing or carrying program codes for implementing a dial switching method according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
In the related technology of wearable devices (such as smart watches, smart bracelets and the like), users usually select favorite dials from all dials in theme shops, but the dial searching process is complicated, and the operation is inconvenient on a small screen of the watch, so that the user experience is poor; or, the user selects the favorite dial plate on the mobile terminal with a large screen such as a mobile phone and a tablet personal computer, so that the dependence on the mobile terminal is large, the dial plate cannot be selected under the condition that the user does not carry the mobile terminal, and the user experience is still poor.
In view of the above problems, the inventor proposes a dial switching method, a device, a wearable device, and a storage medium, which can acquire a wearing image of a user, determine a target dial corresponding to a texture type according to the texture type of the wearing image, and automatically switch a current dial to the target dial. This is described in detail below.
Referring to fig. 1, a schematic diagram of a usage scenario of a dial switching method provided in the present application is shown, where the usage scenario includes a wearable device 100.
In this embodiment, the wearable device 100 may be an electronic device such as a smart watch, a smart bracelet, and the like, which is not limited by this embodiment. The wearable device 100 may capture a wearing image of the user through its own camera, and may display the captured wearing image; and the wearable device 100 can identify the texture type of the clothing region in the acquired wearing image, and the dial plate corresponding to the texture type is used as the dial plate to be switched to and switched, so that the operation complexity of dial plate switching is reduced, and personalized recommendation of the dial plate is realized.
Referring to fig. 2, fig. 2 is a schematic flowchart of a dial plate switching method according to an embodiment of the present application, and the method is applied to a wearable device. The dial plate switching method provided by the embodiment of the present application will be described in detail below with reference to fig. 2. The dial switching method may include the steps of:
step S210: acquiring a wear image, the wear image comprising at least a portion of the garment region.
In embodiments of the present application, the wearing image may be an image formed by the wearing of the user, which may include at least a portion of a garment region. Of course, the wearing image may also include a part of the clothes area and the face area of the user (i.e. the upper body image of the user), which is not limited in this embodiment.
In some embodiments, taking the wearable device as a smart watch as an example, the wearing image may be captured by a camera on the smart watch that the user wears. For example, as shown in fig. 3, a region including a part of clothes and a face region of the user (i.e., an upper body image of the user) may be acquired. Optionally, when the user selects the button of the automatic switching dial plate on the smart watch, the dial plate interface can display prompt information to prompt the user to take a picture through a camera on the smart watch so as to obtain the wearing image of the user.
As an embodiment, the wearable device may monitor its current posture through a gyroscope, accelerometer, or the like; when the current posture of the wearable device meets the preset posture condition, the distance between the wearable device and the user is obtained, and if the distance is larger than a distance threshold value, the wearing image is collected through the camera. The preset posture condition may be determined according to a posture of the wearable device collecting the wearing image through the camera, for example, the camera is disposed on one side of the screen, and may be a posture in which the screen of the wearable device is perpendicular to the ground or parallel to the face of the user, and the specific preset posture condition may not be limited in this embodiment. When the current posture is detected to meet the preset posture condition, the distance between the wearable device and the user can be further acquired, and when the distance is larger than a distance threshold value, the wearable device collects wearing images through the camera. It can be understood that when a user wears the wearable device, if the user needs to switch the dial by collecting wearing images, the wearable device can enter a corresponding posture, and in the posture, the user may only check display contents and the like of the wearable device daily, or the camera is close to the user, and does not really want to switch the dial; consequently can satisfy under the condition of predetermineeing the gesture condition at wearable equipment, further detect relative user's distance, when the distance is greater than apart from the threshold value, just gather wearing image in order to switch to avoid the mistake to carry out the dial plate and switch. And if this distance undersize, can lead to the image of gathering incomplete, and then lead to finally switching the dial plate inaccurate according to the image of gathering, consequently, can guarantee the integrality of wearing the image of gathering through the camera through judging this distance whether be greater than apart from the mode of threshold value. Through the mode, the gesture that the user made wearable equipment can satisfy and predetermine the gesture condition to under the condition that makes wearable equipment relative user's distance be greater than the distance threshold value, can automatic acquisition wearing image and follow-up carry out the dial plate according to wearing image and switch, promoted user experience.
In other embodiments, the user may pre-import or pre-capture images of a plurality of pieces of clothing that the user may wear on the smart watch and store the images of the plurality of pieces of clothing. Based on this, the wearing image may be an image randomly selected by the smart watch from the stored images of the plurality of pieces of clothes, or may be an image selected by the user from the stored images of the plurality of pieces of clothes, which is not limited in this embodiment.
Step S220: inputting the clothes area in the wearing image into a pre-trained texture recognition model to obtain the texture type corresponding to the clothes area output by the texture recognition model.
In this embodiment, after the wearable device acquires the wearing image, the wearable device may identify a texture type corresponding to a clothing region in the wearing image through a pre-trained texture identification model, so as to perform dial switching according to the texture type.
In some embodiments, the texture recognition model may be trained from a large number of sample garment images labeled with texture types. The texture type may refer to a type corresponding to a pattern of the garment, for example, circles, chinese characters, english characters, numeric characters, other characters, zebra stripes, lattices, solid colors, patterns, leopard stripes, camouflage colors, and other types. The texture recognition model may be a deep neural network, etc., and the specific type of the texture recognition model may not be limited.
In some embodiments, the texture recognition model may be pre-stored locally in the wearable device, and the wearable device may directly invoke the texture recognition model locally and input the clothing region in the wearing image into the texture recognition model.
In other embodiments, the texture recognition model may also be stored in the cloud server, and the wearable device may call the texture recognition model from the cloud server when it is required to identify the clothing region in the wearing image, for example, send the clothing region in the wearing image to the cloud server to instruct the cloud server to input the clothing region in the wearing image into the texture recognition model for texture type identification.
In this embodiment, since the texture type of the clothing is to be identified, a specified area may be selected from the obtained wearing image as an area to be identified, where the selected clothing area may randomly select a part of the wearing image, or a user may decide to select a required clothing area, which is not limited in this embodiment. As shown in fig. 4, the square region is the clothes region to be identified.
The wearable device can input the clothes area in the wearing image into a pre-trained texture recognition model after the clothes area to be recognized is subjected to cutting, scaling, normalization and other processing, so as to obtain the texture type corresponding to the clothes area output by the texture recognition model.
Step S230: and acquiring the target dial plate to be switched to based on the texture type.
In this embodiment, there is a mapping relationship between the texture type and the dial. The mapping relationship includes a plurality of texture types and a dial corresponding to each texture type, and the mapping relationship may be established according to empirical data, that is, the types of dials used by users wearing clothes of various texture types are counted, and the dial type with the highest usage rate (that is, the user's preference degree) is used as the dial corresponding to the texture type. Based on the method, the dial plate corresponding to the texture type of the clothes area can be determined according to the mapping relation, and the dial plate is determined as the target dial plate to be switched. Among them, the texture type may include a plurality of types, for example: circles, chinese characters, english characters, numeric characters, other characters, zebra stripes, lattices, solid colors, patterns, leopard stripes, camouflage, and other types, and correspondingly, each type of texture may correspond to a type of dial. The mapping relationship may be stored in the wearable device or the server, which is not limited to this.
Step S240: and switching the current dial plate into the target dial plate.
In this embodiment, after the target dial plate to be switched is acquired based on the texture type, the wearable device automatically switches the current dial plate to the target dial plate.
In some embodiments, the color of the clothing region in the wearing image may be acquired, the target dial to be switched to is acquired based on the color, and then the current dial is switched to the target dial.
In other embodiments, the texture type of the clothing region and the base color of the clothing region in the wearing image may be further obtained, the target dial to be switched to is obtained based on the texture type of the clothing region and the base color of the clothing region, and then the current dial is switched to the target dial.
In some embodiments, after the wearable device successfully and automatically switches the target dial, if the dial switching operation is received within a preset time period, the current dial is switched from the target dial to the second dial in response to the dial switching operation. And updating the corresponding relation between the texture type and the dial plate based on the second dial plate, wherein in the updated corresponding relation, the texture type corresponds to the second dial plate.
Specifically, the target dial plate that wearable equipment switched automatically according to the texture type of the clothing that the user wore probably is not the user's favorite dial plate, and based on this, the user can manually switch the target dial plate once more, selects the second dial plate that oneself likes, and correspondingly, wearable equipment receives the second dial plate to switch the second dial plate that the user selected for oneself with current dial plate here. And the wearable device may update the correspondence between the texture type and the dial based on the second dial, that is, update the mapping relationship of the dial, and in the mapping relationship of the dial after thinning, the texture type corresponds to the second dial. So, after the user selects the dial plate that certain texture type corresponds manually, the mapping relation to the dial plate is updated, can switch into the user's favorite dial plate of wearing this texture type clothes with current dial plate more accurately, improved user experience.
In the embodiment, the texture type corresponding to the clothes area output by the texture recognition model is obtained by acquiring the wearing image and inputting the clothes area in the wearing image into the pre-trained texture recognition model; and further, acquiring a target dial plate to be switched to based on the texture type, and switching the current dial plate to the target dial plate. Therefore, the switching operation of the dial plate is automatically completed by acquiring the wearing image of the user, the operation complexity of manually switching the dial plate is greatly reduced, the dial plate corresponding to the texture type can be determined to serve as the target dial plate according to the texture type in the wearing image, personalized dial plate recommendation can be provided according to wearing and taking of the user, and user experience is greatly improved.
Referring to fig. 5, fig. 5 is a schematic flowchart of a dial plate switching method according to another embodiment of the present application, and the method is applied to a wearable device. The dial plate switching method provided by the embodiment of the present application will be described in detail below with reference to fig. 5. The dial switching method may include the steps of:
step S310: acquiring a wear image, the wear image comprising at least a portion of the garment region.
Step S320: inputting the clothes area in the wearing image into a pre-trained texture recognition model to obtain the texture type corresponding to the clothes area output by the texture recognition model.
In the embodiment of the present application, steps S310 to S320 may refer to the contents of steps S210 to S220 in the foregoing embodiment, and are not described herein again.
Step S330: and inputting the face area in the wearing image into a pre-trained face attribute recognition model to obtain face attribute information output by the face attribute recognition model.
The face attribute information may include gender, age, skin color, expression, and the like of the user. The wearing image may further include a face region, as shown in fig. 6, and the square frame region is the face region to be recognized.
In this embodiment, the wearable device may perform processing such as clipping, scaling, and normalization on a face region to be recognized, and then input the face region in the wearing image into a pre-trained face attribute recognition model, so as to obtain face attribute information corresponding to the face region output by the face attribute recognition model. The face attribute recognition model can be obtained by training a large number of training samples. The training sample may include a plurality of face images labeled with gender and age.
In some embodiments, the face attribute recognition model may be pre-stored locally in the wearable device, and the wearable device may directly call the face attribute recognition model from the local, and input the face region in the wearing image into the face attribute recognition model.
In other embodiments, the face attribute recognition model may also be stored in a cloud server, and the wearable device may call the face attribute recognition model from the cloud server when it is needed to recognize a face region in the wearing image, for example, send the face region in the wearing image to the cloud server, so as to instruct the cloud server to input the face region in the wearing image into the face attribute recognition model for recognition of the face attribute information.
Step S340: and acquiring a target dial to be switched to based on the texture type and the face attribute information.
In this embodiment, a mapping relationship exists between the texture type and the face attribute information and the dial, where the mapping relationship includes multiple texture types, multiple face attribute information, each texture type, and the dial corresponding to each face attribute information, and the mapping relationship may be established according to empirical data. Based on this, after determining the texture type of the clothing region and the face attribute information of the user, the dial corresponding to the texture type and the face attribute information can be determined based on the mapping relationship. The mapping relationship may be stored in the wearable device or the server, which is not limited to this.
In some embodiments, referring to fig. 7, step S340 may include:
step S341: and sending a dial plate acquisition request to a server, wherein the dial plate acquisition request carries the texture type and the face attribute information.
In this embodiment, because the local storage space of the wearable device is limited, if more types of dials are provided, a remote dial mapping relationship including more types of dials may be stored in advance in the server, and on the premise that the wearable device is accessed to the network and can perform data communication with the server, a dial acquisition request is sent to the server to acquire more types of dials from the server.
Optionally, the remote dial mapping relationship may be established according to empirical data, where the remote dial mapping relationship includes a texture type of clothes of the user, an age and gender classification, and a corresponding dial, and in the remote dial mapping relationship, the texture type, the age and gender classification and the dial have a mapping relationship, and after obtaining the texture type and the age and gender classification, the corresponding dial may be determined according to the remote dial mapping relationship. Wherein the age-gender classification may include a plurality, in some embodiments, gender and a certain age stage as a category, for example, [ male, 0-10 years ], [ female, 0-10 years ], [ male, 11-15 years ], [ female, 11-15 years ], [ male, 16-20 years ], [ female, 16-20 years ], [ male, 21-25 years ], [ female, 21-25 years ], [ male, 26-30 years ], [ female, 26-30 years ], [ male, 31-35 years ], [ female, 31-35 years ], [ male, 36-40 years ], [ female, 36-40 years ], [ male, 41-45 years ], [ female, 41-45 years ], [ male, 46-50 years ], [ female, 46-50 years ], [ male, 51-55 years ], [ female, 51-55 years ], [ male, 56-60 years ], [ female, 51-60 years ], [ male, 61-70 years ], [ female, 61-70 years ], [ male, 70 years ] and [ female, 70 years old or older ]. In another embodiment, gender and age are taken as a category, for example, [ male, 5 years ], [ female, 5 years ], [ male, 10 years ], [ female, 10 years ], [ male, 18 years ], [ female, 18 years ], etc.
Further, after receiving a dial plate obtaining request sent by the wearable device, the server can obtain a corresponding target dial plate from the remote dial plate mapping relation according to the texture type, the age and gender classification carried by the server and the mapping relation.
Step S342: and receiving a target dial returned by the server, wherein the target dial corresponds to the texture type and the face attribute information.
In this embodiment, after the server obtains the target dial, the target dial is fed back to the wearable device, and correspondingly, the wearable device receives the target dial.
Step S350: and switching the current dial plate into the target dial plate.
In the embodiment of the present application, step S350 may refer to the content of step S240 in the foregoing embodiment, and is not described herein again.
In the embodiment, the texture type corresponding to the clothes area output by the texture recognition model is obtained by acquiring the wearing image and inputting the clothes area in the wearing image into the pre-trained texture recognition model; and inputting the face area in the wearing image into a pre-trained face attribute recognition model to obtain face attribute information output by the face attribute recognition model, further obtaining a target dial plate to be switched to based on the texture type and the face attribute information, and switching the current dial plate into the target dial plate. So, through obtaining user's wearing image, accomplish the switching operation of dial plate automatically, greatly reduced the operation complexity of manual switching dial plate to, can be according to the texture type in the wearing image and user's gender age classification, confirm the dial plate that corresponds as the target dial plate, can be according to user's wearing to take, age gender provides individualized dial plate and recommends, greatly promoted user experience.
Referring to fig. 8, fig. 8 is a schematic flowchart of a dial plate switching method according to another embodiment of the present application, and the method is applied to a wearable device. The dial plate switching method provided by the embodiment of the present application will be described in detail below with reference to fig. 8. The dial switching method may include the steps of:
step S510: acquiring a wear image, the wear image comprising at least a portion of the garment region.
Step S520: inputting the clothes area in the wearing image into a pre-trained texture recognition model to obtain the texture type corresponding to the clothes area output by the texture recognition model.
In the embodiment of the present application, steps S510 to S520 may refer to the contents of steps S210 to S220 in the foregoing embodiment, and are not described herein again.
Step S530: and acquiring current network information.
Step S540: and judging whether the current network information meets the preset network condition.
Step S550: and if the current network information meets the preset network condition, inputting the face area in the wearing image into a pre-trained face attribute recognition model, and obtaining the face attribute information output by the face attribute recognition model.
In this embodiment, the wearable device may acquire its own current network information, determine whether the current network information satisfies a preset network condition, and select a different method for acquiring the target dial plate according to the determination result.
In some embodiments, the current network information may be a network state of the current network, and correspondingly, the preset network condition is whether the network state is available, and if the network state of the current network is the available state, it is determined that the current network information satisfies the preset network condition; and if the network state of the current network is the forbidden state, determining that the current network information does not meet the preset network condition.
In other embodiments, the current network information may be a transmission rate of a current network, and correspondingly, the preset network condition may be to determine whether the transmission rate of the current network reaches a standard transmission rate, and if the transmission rate of the current network is less than the standard transmission rate, determine that the current network information does not meet the preset network condition; and if the transmission rate of the current network is greater than or equal to the standard transmission rate, determining that the current network information does not meet the preset network condition.
In still other embodiments, the current network information may also be a packet loss rate, and correspondingly, the preset network condition may be that whether the packet loss rate of the current network is lower than a packet loss rate threshold is judged, and if the packet loss rate of the current network is lower than the packet loss rate threshold, it is determined that the current network information satisfies the preset network condition; and if the packet loss rate of the current network is greater than or equal to the packet loss rate threshold, determining that the current network information does not meet the preset network condition.
In some further embodiments, the current network information may further include a transmission delay value, and correspondingly, the preset network condition may be that whether the transmission delay value of the current network is lower than a transmission delay threshold value is judged, and if the transmission delay value of the current network is lower than the transmission delay threshold value, it is determined that the current network information satisfies the preset network condition; and if the transmission delay value of the current network is greater than or equal to the transmission delay threshold value, determining that the current network information does not meet the preset network condition.
In still other embodiments, the current network information may also transmit a delay variation value, and correspondingly, the preset network condition may be that whether the transmission delay variation value of the current network is lower than a transmission delay variation threshold is determined, and if the transmission delay variation value of the current network is lower than the transmission delay variation threshold, it is determined that the current network information satisfies the preset network condition; and if the transmission delay change value of the current network is greater than or equal to the transmission delay change threshold, determining that the current network information does not meet the preset network condition.
In this embodiment, the current network information may also be other parameter values, which is not limited in this embodiment.
Step S560: and acquiring a target dial to be switched to based on the texture type and the face attribute information.
In the embodiment of the present application, after the current network information meets the preset network condition, the specific contents of steps S550 to S560 may refer to the contents of steps S330 to S340 in the foregoing embodiment, which is not described herein again.
Step S570: and if the current network information does not meet the preset network condition, acquiring a target dial plate corresponding to the texture type from the local dial plate.
In this embodiment, after the current network information does not satisfy the preset network condition, the specific content of step S570 may refer to the content of step S230 in the foregoing embodiment, which is not described herein again.
Step S580: and switching the current dial plate into the target dial plate.
In this embodiment, step S580 may refer to the content of step S240 in the foregoing embodiment, and is not described herein again.
In this embodiment, a texture type corresponding to a clothes area output by a texture recognition model is obtained by acquiring a wearing image and inputting the clothes area in the wearing image to the pre-trained texture recognition model; when the current network information meets preset network conditions, inputting a face area in a wearing image into a face attribute recognition model trained in advance to obtain face attribute information output by the face attribute recognition model, then obtaining a target dial plate to be switched based on the texture type and the face attribute information, and switching the current dial plate into the target dial plate; and when the current network information does not meet the preset network condition, acquiring a target dial plate corresponding to the texture type from a local dial plate. Thus, when the current network information meets the preset network condition, the target dial plate is determined based on the texture type and the gender and age classification of the user; and when the current network information meets the preset network condition, determining a target dial plate from the local dial plate based on the texture type. Therefore, smoothness of switching the dial plate can be guaranteed, the problem that the dial plate is unsmooth in switching due to the fact that current network information is poor can be solved, personalized dial plate recommendation can be provided for a user, and user experience is improved.
Referring to fig. 9, fig. 9 is a schematic flowchart of a dial plate switching method according to still another embodiment of the present application, and the method is applied to a wearable device. The dial plate switching method provided in the embodiment of the present application will be described in detail below with reference to fig. 9. The dial switching method may include the steps of:
step S610: acquiring a wear image, the wear image comprising at least a portion of the garment region.
Step S620: inputting the clothes area in the wearing image into a pre-trained texture recognition model to obtain the texture type corresponding to the clothes area output by the texture recognition model.
Step S630: and acquiring the target dial plate to be switched to based on the texture type.
In the embodiment of the present application, steps S610 to S630 may refer to the contents of steps S210 to S230 in the foregoing embodiment, and are not described herein again.
Step S640: and if the target dial plates are multiple, acquiring the current electric quantity value of the wearable device.
In this embodiment, there may be a plurality of target dials obtained based on the texture type, the target dials may be static dials or dynamic dials, and it can be understood that the dynamic dials may accelerate the power consumption speed of the wearable device, so that when there are a plurality of target dials, the current power of the wearable device may be obtained, and which target dial is selected in consideration of the current power.
Step S650: and if the current electric quantity value is smaller than the electric quantity threshold value, acquiring a dial plate with rated power consumption meeting a preset power consumption condition from the target dial plates as a first dial plate.
The electric quantity threshold may be factory set for the wearable device, or may be set in advance by the user, which is not limited in this embodiment. If the current electric quantity is smaller than the electric quantity threshold value, whether the rated power consumption of the target dials meets the preset power consumption condition or not can be judged, and the dial meeting the preset power consumption condition is used as the first dial. The preset power consumption condition may be preset in advance.
In some embodiments, the preset power consumption condition may be that the power source power consumed by the target dial is lower than a preset power threshold, and if there is a dial in the target dials, the target dial is regarded as the first dial.
In other embodiments, if none of the target dials has a dial that meets the preset power consumption condition, the dial with the lowest rated power consumption among the target dials may be used as the first dial, so as to ensure that the dial with the lowest power consumption speed is selected as the target dial under the condition that the current electric quantity of the wearable device is low, so as to reduce the power consumption speed of the wearable device.
Step S660: and switching the current dial plate to the first dial plate.
In this embodiment, after determining the first dial plate based on the current electric quantity of the wearable device, the wearable device automatically switches the current dial plate to the first dial plate.
In some embodiments, if there are a plurality of target dials, a history dial corresponding to the texture type may be obtained, the similarity between the plurality of target dials and the history dial is obtained, the target dial whose similarity reaches a preset threshold is determined as the second dial, and the current dial is switched to the second dial. In practical applications, dials preferred by different users with the same texture type may be different, and correspondingly, there may be a one-to-many mapping relationship between the texture type and the dial, and thus, there may be a plurality of target dials determined according to the texture type. Based on this, when a plurality of target dials exist, the historical dial used by the user wearing the clothes with the texture type can be obtained, the target dial with the similarity reaching a preset threshold or the highest similarity is determined as the second dial by judging the similarity of the target dials and the historical dial, and then the current dial is switched to the second dial. So, can switch into the user's that wears this texture type clothes watch-dial that likes with current watch-dial more accurately, improve user experience.
In the embodiment, the texture type corresponding to the clothes area output by the texture recognition model is obtained by acquiring the wearing image and inputting the clothes area in the wearing image into the pre-trained texture recognition model; further, a target dial plate to be switched to is obtained based on the texture type, if the target dial plate is multiple, and when the current electric quantity of the wearable device is smaller than the electric quantity threshold value, the dial plate with rated power consumption meeting preset power consumption conditions serves as the first dial plate, and the current dial plate is switched into the first dial plate. So, on the basis of determining a plurality of target dials according to the texture type that the user wore the image, select the dial plate that the consumption is the lowest as the first dial plate that treats the switch, both can provide individualized dial plate recommendation according to wearing of user, age sex, promoted user experience, still reduced the consumption to wearable equipment power simultaneously.
Referring to fig. 10, fig. 10 is a schematic flowchart of a dial plate switching method according to yet another embodiment of the present application, and the method is applied to a wearable device. The dial switching method provided in the embodiment of the present application will be described in detail below with reference to fig. 10. The dial switching method may include the steps of:
step S710: acquiring a wear image, the wear image comprising at least a portion of the garment region.
In the embodiment of the present application, step S710 may refer to the content of step S210 in the foregoing embodiment, and is not described herein again.
Step S720: dividing the wearing image into a plurality of sub-regions.
In this embodiment, after acquiring the wearing image, the wearable device may divide the wearing image into a plurality of sub-regions, as shown in fig. 11, and divide the wearing image into 12 sub-regions.
Step S730: and displaying specified prompt information, wherein the specified prompt information is used for prompting a user to select any one of the plurality of sub-regions.
Further, after the wearing image is divided into a plurality of sub-regions, a specific prompt message, such as "please select a region as a clothes region to be identified", may be displayed to prompt the user to select any one of the plurality of sub-regions.
Step S740: and responding to the region selection operation, and determining the target sub-region selected by the region selection operation as the clothes region.
Optionally, after the user selects the region, the wearable device receives a selection operation input by the user, and determines, in response to the region selection operation, the target sub-region selected by the region selection operation as the clothing region. Still taking fig. 11 as an example, if the target sub-area selected by the user is the sub-area with the reference number 8, the sub-area with the reference number 8 is correspondingly determined as the clothing area.
In some embodiments, the clothing region may also be selected by the user on the display screen of the wearable device by drawing, and the user may draw a closed region in the wearing image, and accordingly, the wearable device regards the closed region as the clothing region.
In this embodiment, there are various ways to determine the clothing region, and this embodiment does not limit this.
Step S750: inputting the clothes area in the wearing image into a pre-trained texture recognition model to obtain the texture type corresponding to the clothes area output by the texture recognition model.
Step S760: and acquiring the target dial plate to be switched to based on the texture type.
Step S770: and switching the current dial plate into the target dial plate.
In the embodiment of the present application, steps S750 to S770 may refer to the contents of steps S220 to S240 in the foregoing embodiment, and are not described herein again.
In the embodiment, a wearing image is acquired, the wearing image is divided into a plurality of sub-areas, and specified prompt information is displayed to prompt a user to select any one of the sub-areas; responding to the region selection operation, determining a target sub-region selected by the region selection operation as a clothes region, and inputting the clothes region in the wearing image into a pre-trained texture recognition model to obtain a texture type corresponding to the clothes region; and finally, acquiring a target dial plate to be switched based on the texture type, and switching the current dial plate into the target dial plate. Therefore, the user can select the favorite clothes area and determine the target dial plate according to the texture type determined by the clothes area, personalized dial plate recommendation is provided according to the favorite wearing of the user, and user experience is greatly improved.
Referring to fig. 12, a block diagram of a dial plate switching device 800 according to an embodiment of the present application is shown. The apparatus 800 may include: the device comprises an image acquisition module 810, a texture recognition module 820, a dial plate acquisition module 830 and a dial plate switching module 840.
The image acquisition module 810 is configured to acquire a wear image, the wear image including at least a portion of a garment region.
The texture recognition module 820 is configured to input the clothing region in the wearing image to a pre-trained texture recognition model, and obtain a texture type corresponding to the clothing region output by the texture recognition model.
The dial plate obtaining module 830 is configured to obtain a target dial plate to be switched to based on the texture type.
The dial plate switching module 840 is configured to switch the current dial plate to the target dial plate.
In some embodiments, the wearing image further includes a face area, and before the acquiring the target dial to be switched to based on the texture type, the dial switching apparatus 800 may include: and a face recognition module. The face recognition module can be used for inputting the face area in the wearing image into a pre-trained face attribute recognition model to obtain the face attribute information output by the face attribute recognition model.
In this embodiment, the dial plate obtaining module 830 may be specifically configured to obtain the target dial plate to be switched to based on the texture type and the face attribute information.
In this embodiment, the dial plate acquisition module 830 may include: a request transmitting unit and a dial receiving unit. The request sending unit may be configured to send a dial plate obtaining request to a server, where the dial plate obtaining request carries the texture type and the face attribute information. The dial receiving unit may be configured to receive a target dial returned by the server, where the target dial corresponds to the texture type and the face attribute information.
In some embodiments, before the inputting the face area in the wearing image into a pre-trained face attribute recognition model, obtaining face attribute information output by the face attribute recognition model, and obtaining a target dial to be switched to based on the texture type and the face attribute information, the dial switching apparatus 800 may further include: and a network acquisition module. The network acquisition module may be configured to acquire current network information.
In this embodiment, the dial plate obtaining module 830 may be specifically configured to, if the current network information meets a preset network condition, execute the inputting of the face area in the wearing image to a pre-trained face attribute recognition model, obtain face attribute information output by the face attribute recognition model, and obtain a target dial plate to be switched to based on the texture type and the face attribute information; and if the current network information does not meet the preset network condition, acquiring a target dial plate corresponding to the texture type from the local dial plate.
In some embodiments, the dial switching module 840 may include: the device comprises an electric quantity acquisition unit, a dial plate acquisition unit and a first dial plate switching unit. The electric quantity obtaining unit can be used for obtaining the current electric quantity value of the wearable device if the target dial plate is multiple. The dial plate obtaining unit can be used for obtaining a dial plate with rated power consumption meeting preset power consumption conditions from a plurality of target dial plates as a first dial plate if the current electric quantity value is smaller than the electric quantity threshold value. The first dial switching unit may be configured to switch the current dial to the first dial.
In some embodiments, after the switching the current dial to the target dial, the dial switching apparatus 800 may further include: the second dial plate switching module and the dial plate updating module. The second dial plate switching module can be used for responding to the dial plate switching operation if receiving the dial plate switching operation within the preset time length, and switching the current dial plate from the target dial plate to the second dial plate. The dial plate updating module may be configured to update a correspondence between the texture type and the dial plate based on the second dial plate, where in the updated correspondence, the texture type corresponds to the second dial plate.
In some embodiments, before the inputting the clothing region in the wearing image to the pre-trained texture recognition model and obtaining the texture type corresponding to the clothing region output by the texture recognition model, the dial plate switching apparatus 800 may further include: the device comprises an image dividing module, a display module and a response module. An image partitioning module may be used to partition the wearing image into a plurality of sub-regions. The display module may be configured to display a specific prompt message, where the specific prompt message is used to prompt a user to select any one of the sub-regions from the plurality of sub-regions. The response module may be configured to determine, in response to a region selection operation, a target sub-region selected by the region selection operation as the clothing region.
In some embodiments, the wearable device includes a camera, and before the acquiring the wearing image, the dial switching device 800 may further include: and a distance acquisition module. The distance acquisition module can be used for acquiring the distance between the wearable device and the user when the current posture of the wearable device meets a preset posture condition.
In this embodiment, the image obtaining module 810 may be specifically configured to collect the wearing image through the camera if the distance is greater than the distance threshold.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, the coupling between the modules may be electrical, mechanical or other type of coupling.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
In summary, in the scheme provided in the embodiment of the present application, the wearing image is acquired, the clothing region in the wearing image is input to the pre-trained texture recognition model, the texture type corresponding to the clothing region output by the texture recognition model is obtained, the target dial to be switched is acquired based on the texture type, and finally, the current dial is switched to the target dial. Therefore, the switching operation of the dial plate is automatically completed by acquiring the wearing image of the user, the operation complexity of manually switching the dial plate is greatly reduced, the dial plate corresponding to the texture type can be determined to serve as the target dial plate according to the texture type in the wearing image, personalized dial plate recommendation can be provided according to wearing and taking of the user, and user experience is greatly improved.
A wearable device provided by the present application will be described with reference to the drawings.
Referring to fig. 13, fig. 13 shows a block diagram of a wearable device 900 provided in an embodiment of the present application, and the dial plate switching method provided in the embodiment of the present application may be executed by the wearable device 900.
The wearable device 900 in embodiments of the present application may include one or more of the following components: a processor 901, a memory 902, and one or more applications, wherein the one or more applications may be stored in the memory 902 and configured to be executed by the one or more processors 901, the one or more programs configured to perform a method as described in the aforementioned method embodiments.
Processor 901 may include one or more processing cores. The processor 901 interfaces with various interfaces and circuitry throughout the wearable device 900 to perform various functions of the wearable device 900 and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 902 and invoking data stored in the memory 902. Alternatively, the processor 901 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 901 may integrate one or a combination of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing display content; the modem is used to handle wireless communications. It is understood that the modem may be integrated into the processor 901, and implemented by a communication chip.
The Memory 902 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 902 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 902 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like. The storage data area may also store data created by the wearable device 900 in use (such as the various correspondences described above), and the like.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, the coupling or direct coupling or communication connection between the modules shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or modules may be in an electrical, mechanical or other form.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
Referring to fig. 14, a block diagram of a computer-readable storage medium according to an embodiment of the present application is shown. The computer-readable medium 1000 has stored therein program code that can be called by a processor to execute the method described in the above-described method embodiments.
The computer-readable storage medium 1000 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium 1000 includes a non-transitory computer-readable storage medium. The computer readable storage medium 1000 has storage space for program code 1010 for performing any of the method steps of the method described above. The program code can be read from or written to one or more computer program products. The program code 1010 may be compressed, for example, in a suitable form.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (12)

1. A dial plate switching method is applied to a wearable device, and comprises the following steps:
acquiring a wear image, the wear image comprising at least a portion of a garment region;
inputting the clothes area in the wearing image into a pre-trained texture recognition model to obtain a texture type corresponding to the clothes area output by the texture recognition model;
acquiring a target dial plate to be switched to based on the texture type;
and switching the current dial plate into the target dial plate.
2. The method according to claim 1, characterized in that said wearing image further comprises a face area, said method further comprising, before said obtaining of the target dial to be switched to based on said type of texture:
inputting the face area in the wearing image into a pre-trained face attribute recognition model to obtain face attribute information output by the face attribute recognition model;
the determining a target dial to be switched to based on the texture type includes:
and acquiring a target dial to be switched to based on the texture type and the face attribute information.
3. The method of claim 2, wherein the obtaining the target dial to be switched to based on the texture type and the face attribute information comprises:
sending a dial plate obtaining request to a server, wherein the dial plate obtaining request carries the texture type and the face attribute information;
and receiving a target dial returned by the server, wherein the target dial corresponds to the texture type and the face attribute information.
4. The method according to claim 3, wherein before the inputting the face area in the wearing image into a pre-trained face attribute recognition model, obtaining face attribute information output by the face attribute recognition model, and obtaining a target dial to be switched to based on the texture type and the face attribute information, the method further comprises:
acquiring current network information;
and if the current network information meets the preset network condition, executing the step of inputting the face area in the wearing image into a pre-trained face attribute recognition model, obtaining face attribute information output by the face attribute recognition model, and obtaining a target dial plate to be switched to based on the texture type and the face attribute information.
5. The method of claim 4, wherein the obtaining the target dial to switch to based on the texture type further comprises:
and if the current network information does not meet the preset network condition, acquiring a target dial plate corresponding to the texture type from the local dial plate.
6. The method of claim 1, wherein switching the current dial to the target dial comprises:
if a plurality of target dials exist, acquiring a current electric quantity value of the wearable device;
if the current electric quantity value is smaller than the electric quantity threshold value, acquiring a dial plate with rated power consumption meeting a preset power consumption condition from a plurality of target dial plates as a first dial plate;
and switching the current dial plate to the first dial plate.
7. The method of any of claims 1-6, wherein after the switching the current dial to the target dial, the method further comprises:
if receiving a dial plate switching operation within a preset time, responding to the dial plate switching operation, and switching the current dial plate from the target dial plate to a second dial plate;
and updating the corresponding relation between the texture type and the dial plate based on the second dial plate, wherein in the updated corresponding relation, the texture type corresponds to the second dial plate.
8. The method according to any one of claims 1 to 6, wherein before inputting the clothing region in the wearing image to a pre-trained texture recognition model and obtaining the texture type corresponding to the clothing region output by the texture recognition model, the method further comprises:
dividing the wearing image into a plurality of sub-regions;
displaying appointed prompt information, wherein the appointed prompt information is used for prompting a user to select any one of the sub-regions;
and responding to the region selection operation, and determining the target sub-region selected by the region selection operation as the clothes region.
9. The method of any of claims 1-6, wherein the wearable device comprises a camera, and prior to the acquiring the wearing image, the method further comprises:
when the current posture of the wearable equipment meets a preset posture condition, acquiring the distance between the wearable equipment and a user;
the acquiring an in-wear image includes:
and if the distance is greater than the distance threshold value, acquiring a wearing image through the camera.
10. A dial switching device, characterized in that the device comprises:
an image acquisition module for acquiring a wearing image, the wearing image including at least a portion of a garment region;
the texture recognition module is used for inputting the clothes area in the wearing image into a pre-trained texture recognition model to obtain a texture type corresponding to the clothes area output by the texture recognition model;
the dial plate obtaining module is used for obtaining a target dial plate to be switched to based on the texture type;
and the dial plate switching module is used for switching the current dial plate into the target dial plate.
11. A wearable device, comprising:
one or more processors;
a memory;
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the method of any of claims 1-9.
12. A computer-readable storage medium, characterized in that a program code is stored in the computer-readable storage medium, which program code can be called by a processor to perform the method according to any of claims 1-9.
CN202110296681.0A 2021-03-19 2021-03-19 Dial plate switching method and device, wearable device and storage medium Pending CN113031769A (en)

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