CN113591522A - Image processing method, device and storage medium - Google Patents
Image processing method, device and storage medium Download PDFInfo
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- CN113591522A CN113591522A CN202010370331.XA CN202010370331A CN113591522A CN 113591522 A CN113591522 A CN 113591522A CN 202010370331 A CN202010370331 A CN 202010370331A CN 113591522 A CN113591522 A CN 113591522A
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- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
Abstract
The application relates to an image processing method, an image processing device and a storage medium, wherein the image processing method comprises the following steps: acquiring an image of a target object at the current moment; analyzing at least one characteristic of a sitting posture of a target object in the image; judging whether each feature of the target object meets a corresponding standard or not based on the analysis result; when at least one characteristic of the sitting posture has a target characteristic which does not meet the corresponding standard, outputting prompt information corresponding to the target characteristic. By the method described in the embodiment of the application, the user can be reminded in real time when the target object is judged to have the abnormal sitting posture, so that the user can develop the correct sitting posture habit conveniently.
Description
Technical Field
The present application relates to the field of images, and in particular, to an image processing method, an image processing apparatus, and a storage medium.
Background
When students are self-repairing, such as when they need to do a task on a workbook or workbook, they are prone to develop poor sitting habits, including too close eyes to the book, head bending, uneven shoulders, close physical contact with the desk, etc. Once a bad sitting habit is developed, not only can the student be prematurely nearsighted, but also the skeletal development of the child can be affected, including bending over, humping and the like.
However, when a student is in a learning state, parents cannot supervise for various reasons. If students are in bad sitting posture for a long time, the growth of the students is adversely affected. At present, no related intelligent equipment exists, so that sitting posture conditions of students during homework writing can be monitored in real time, and the students can be reminded of forming good sitting posture habits.
Disclosure of Invention
In order to solve one or more of the above problems, the present application proposes an image processing method, apparatus, and storage medium.
According to an aspect of the present application, there is provided an image processing method including:
acquiring an image of a target object at the current moment;
analyzing at least one characteristic of a sitting posture of the target object in the image;
based on the result of the analysis, determining whether at least one characteristic of the sitting posture meets a corresponding standard;
when at least one characteristic of the sitting posture has a target characteristic which does not meet the corresponding standard, outputting a prompt message corresponding to the target characteristic.
By the scheme, the user can be reminded in real time when the target object is judged to have the abnormal sitting posture, so that the user can develop the correct sitting posture habit conveniently. Because the technical means of collecting the image of the user at the current moment and comparing the sitting posture characteristic of the user in the image with the preset standard is adopted, the technical problem that the sitting posture condition cannot be monitored in real time is solved, and the technical effect of reminding the user in real time so as to form a correct sitting posture habit is achieved.
According to another aspect of the present application, there is provided an image processing apparatus including:
the acquisition module is used for acquiring an image of the target object at the current moment;
an analysis module for analyzing at least one characteristic of a sitting posture of a target object in the image;
the judging module is used for judging whether at least one characteristic of the sitting posture meets a corresponding standard or not based on the analysis result;
and the output module is used for outputting prompt information corresponding to the target characteristic when the target characteristic which does not meet the corresponding standard exists in at least one characteristic of the sitting posture.
According to another aspect of the present application, there is provided an image processing apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described above.
According to another aspect of the present application, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method as described above.
Other effects of the above-described alternative will be described below with reference to specific embodiments.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
FIG. 1 is a flow diagram of an image processing method according to one embodiment of the present application;
FIG. 2 is a schematic illustration of an application scenario according to an embodiment of the present application;
FIG. 3 is a flow diagram of an image processing method according to another embodiment of the present application;
FIG. 4A is a schematic illustration of an application scenario according to an embodiment of the present application;
FIG. 4B is a schematic diagram of an image processing method according to one embodiment of the present application;
FIG. 5 is a block diagram of an image processing apparatus according to one embodiment of the present application;
fig. 6 is a block diagram of an image processing apparatus according to another embodiment of the present application;
fig. 7 is a block diagram of an electronic device for implementing an image processing method according to an embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 shows a flowchart of an image processing method according to an embodiment of the present application. Referring to fig. 1, the method may be performed by an electronic device and includes the steps of:
s101, acquiring an image of a target object at the current moment;
s102, analyzing at least one characteristic of the sitting posture of the target object in the image;
s103, judging whether at least one characteristic of the sitting posture meets a corresponding standard or not based on the analysis result;
and S104, when at least one characteristic of the sitting posture has a target characteristic which does not meet the corresponding standard, outputting prompt information corresponding to the target characteristic.
The method shown in fig. 1 may be performed by an electronic device. Fig. 2 shows a schematic diagram of an application scenario according to an exemplary embodiment of the present application.
As shown in fig. 2, at least one camera is provided at a front end portion of the electronic apparatus to capture an image of a target object located in front of the electronic apparatus. The camera can have an automatic focusing function, and the effective identification distance of the camera is not less than 1 meter. The target object may be a student, and the camera may acquire images about a plurality of key areas of the face, neck, shoulder, chest, etc. thereof when acquiring images about the sitting posture of the student. The dotted lines shown in fig. 2 may be understood as the extent to which the camera performs image acquisition, and the camera may transmit the acquired image to the central processor for further analysis processing.
If the electronic device is provided with at least two cameras, the two cameras may be arranged in different areas of the front portion of the electronic device to facilitate the acquisition of images at different angles of the same sitting position of the human body.
Although not shown in fig. 2, it is understood that the electronic device may further include a speaker, so that when the sitting posture of the target subject is found not to conform to the standard sitting posture, the electronic device may notify the target subject through the speaker to correct the sitting posture.
In S101, the target object may be a student in a learning state, and the captured image may be about a sitting posture of the student. As an example, the electronic device may use a pre-stored image about a standard sitting posture as a reference for the comparison.
In addition, before executing S101, a monitoring function of the electronic device may be started by a student who has captured an image.
Specifically, in S101, the image of the target object at the current time may be acquired through the following two processing manners:
the first mode is as follows:
and acquiring an image of the target object at the current moment according to a first time interval from the image of the target object acquired in real time.
In the process of acquiring the image of the target object in real time, the image acquired in real time may be extracted and analyzed at intervals. That is, every first time interval, the image of the target object acquired at the current moment is extracted as the acquired image of the target object at the current moment.
Here, the first time interval may be set according to actual conditions, and may be, for example, 1s or 2s, and may be longer or shorter, which is not limited.
The second mode is as follows:
and in the process of acquiring the image of the target object according to the second time interval, taking the acquired image as the acquired image of the target object at the current moment.
Here, the second time interval may be the same as or different from the first time interval. For example, the second time interval may be set according to actual conditions, for example, may be set to be 2 seconds(s), or longer or shorter, and this embodiment does not limit this.
That is, in this way, the camera is not required to acquire the image of the target object in real time, but the image is acquired every time the second time interval is reached, and accordingly, the image acquired this time becomes the image of the target object acquired this time at the current time.
In addition, before executing S101, an analysis of whether the shooting condition is satisfied may be further included, and if the shooting condition is satisfied, S101 may be executed, otherwise, S101 is not executed.
Here, the photographing condition may include at least one of: no shelter is in front of the camera, no picture is in front of the camera, the camera can capture the image of the target object, and the like.
If the shooting condition is not met, an adjustment prompt can be further sent out according to the reason that the shooting condition is not met, for example, if the current camera is analyzed to have occlusion, the adjustment prompt (voice or text) can be sent out as follows: please remove the shelter; if a picture before the current camera is analyzed, an adjustment prompt can be sent as follows: please remove the picture; if no target object (user or student) is detected before analyzing the current camera, a prompt can be sent: please sit in front of the camera. Of course, there may be many more cases, which are not exhaustive, and it should be understood that one prerequisite for the process of S101-S104 is to be ensured that an image of the target object can be acquired.
In S102, the at least one feature of the target object includes at least one of: a relative positional relationship between the target object and a surrounding environment, feature information of a certain body part of the target object, and the like; analyzing the at least one feature may include extracting information of a key point portion of the body of the target object in the acquired image, and extracting surrounding environment information of the target object, wherein each element in the surrounding environment includes a position of a table and a chair, a height of the table and the chair back, and the like, and determining a relative positional relationship between the target object and each element in the surrounding environment, and the like. Therefore, whether the sitting posture of the target object is standard or not can be measured by comprehensively considering the posture characteristics of the target object and the surrounding environmental elements of the target object.
In S103, determining whether there is a target feature that does not meet the corresponding criterion among the at least one feature of the sitting posture may include determining whether the target object is in a state of bending, lowering head, tilting head, high-low shoulder, etc. at the current time based on the analysis result in S102. That is, the analysis results regarding at least one characteristic of the sitting posture obtained in S102 may be respectively compared with corresponding criteria to determine whether the sitting posture of the target subject conforms to the standard sitting posture. The target feature may be a relative positional relationship between the target object and a surrounding environment in a sitting posture with respect to the target object, or feature information of a certain body part of the target object, or the like.
In order to enhance the applicability to some specific individuals, the allowable deviation range between at least one characteristic of the sitting posture of the target object and the corresponding standard thereof can be set to be wider so as to avoid false alarm when some students suffer from injury or physical disability. For example, the range allowed by the difference between each keypoint location of the body in the acquired image and the corresponding keypoint location in the image for a standard sitting posture can be set to be wider to enhance applicability to certain special individuals; when the difference value between the two exceeds the allowed range, determining that the corresponding key point position of the sitting posture of the target object does not meet the corresponding standard.
In S104, when there is at least one feature of the sitting posture of the target object that does not meet the corresponding criterion, a prompt message regarding the at least one feature may be output. For example, a target object may be reminded by emitting a warning sound through a speaker of the electronic device, or a warning message may be output in a text form on a screen of the electronic device to remind the target object; the output prompt message can be used to remind the target object of not meeting the characteristics of the corresponding standard, or to remind the user how to correct the sitting posture, such as "head backward", "shoulder flat", "chest backward", and the like. If a prompt is output through a speaker, the electronic device may detect whether the speaker is currently in an idle state before outputting the prompt, and output the prompt only when the speaker is currently in the idle state; if the prompt message is output on the screen in the form of text, the prompt message may be continuously displayed on the screen for a preset length of time, for example, 2-5 seconds.
The prompt message may be issued whenever there is a target feature that does not meet the corresponding criterion among the at least one feature of the sitting posture of the target subject, or may be issued when there is a target feature that does not meet the corresponding criterion among the at least one feature of the sitting posture of the target subject found two or more times in succession.
As another implementation manner of the embodiment of the present application, the prompt information may be output in different manners based on the degree of deviation between each feature of the target object and the corresponding standard. For example, when the degree of deviation is lower than a preset threshold, the prompt message may be output on the screen in the form of text; when the deviation degree is higher than the preset threshold value, the prompt message can be output through the loudspeaker, and at the moment, if the loudspeaker is in an occupied state currently, the application program occupying the loudspeaker can be interrupted and the prompt message can be output through the loudspeaker.
As another implementation manner of the embodiment of the present application, when it is found that at least two features of the posture of the target object do not meet the corresponding standards, a prompt message may be output according to a preset priority, where the prompt message includes at least two features that do not meet the corresponding standards in the preset priority order; alternatively, the prompt information may be output based on the degree of deviation between the at least two features and the corresponding criteria, for example, based on the feature deviating the most from the corresponding criteria.
According to another embodiment of the application, the electronic device may send a second prompt to the target device in addition to outputting the prompt in audio or text form on the electronic device. A flow chart according to this embodiment is specifically shown in fig. 3.
As shown in fig. 3, the method may comprise the steps of:
s105: sending the image containing the target features which do not meet the corresponding standards to the target equipment; or, S106: and sending the image containing the target characteristics which do not meet the corresponding standards and the corresponding label to the target equipment.
S105 and S106 may be performed simultaneously with S104, and may be performed after S104 is completed as shown in the figure.
Fig. 4 shows an application scenario according to the embodiment shown in fig. 3, wherein the electronic device may send notification information to the target device.
When the notification information is generated and output, the image including the target feature that does not meet the corresponding standard may be sent to the target device, or the image including the target feature that does not meet the corresponding standard and the tag corresponding to the image may be sent to the target device. That is, once the out-of-position condition is found, the image (or the image and its corresponding tag) acquired at that moment is sent to the target device.
Or, the image of the target object containing the target feature that does not meet the corresponding standard may be periodically sent to the target device, or the image of the target object containing the target feature that does not meet the corresponding standard and the corresponding tag thereof may be periodically sent to the target device. In this case, the transmitted image may be all images in which the sitting posture of the target object is not standard within the period length.
Here, the period may be set according to actual conditions, for example, may be 1 hour, 3 hours, 1 day, and the like, and the setting of the receiving period may be performed by the parent at the target device through the APP, which is not specifically limited herein.
The label corresponding to the image is related to the content of the image, and for example, the image may be analyzed when the label is generated, so as to obtain a type of the target object with an abnormal sitting posture, and the type may be used as the label.
The target device may be understood as a device that establishes a communication connection (e.g. a wireless communication connection, etc.) with a current electronic device, and the target device may receive the image through an installed APP (application) and present the image. The target device may be a parent's cell phone or tablet or notebook of the student, etc.
Fig. 4B shows a schematic diagram of an image processing method according to an embodiment of the present application. As shown in the figure, when the sitting posture monitoring function of the electronic device is turned on, the camera is turned on and images or videos are recorded in real time, whether the sitting posture of the target object is standard or not is judged through the acquired images or videos, and when the sitting posture is not standard, which type of nonstandard sitting posture belongs to is judged one by one, and corresponding prompt information is output.
By the method described in the embodiment of the application, whether an object has an abnormal sitting posture such as bending down, lowering head, bending head, high-low shoulder and the like can be judged by analyzing key point positions of a human body based on an image acquired by a camera installed on electronic equipment, and a user is reminded in real time when the abnormal sitting posture is detected, so that the user can develop a correct sitting posture habit; in addition, the detected abnormal behavior can be sent to parents or other guardians in a report form or in real time, so that the parents or other guardians can know the learning and health conditions of students better.
In correspondence with the above, the embodiment of the present application also provides an image processing apparatus 500.
Referring to fig. 5, the apparatus includes:
an obtaining module 501, configured to obtain an image including a target object;
an analysis module 502 for analyzing at least one feature of a target object in the image;
a determining module 503, configured to determine whether each feature of the target object meets a corresponding preset standard based on the analysis result;
an output module 504, configured to output a prompt message regarding at least one feature of the target object when the at least one feature does not meet the corresponding preset criterion at the current time.
In an embodiment of the present application, referring to fig. 6, the image processing apparatus 500 further includes:
a sending module 505, configured to:
when at least one characteristic of the target object does not meet the corresponding preset standard, second prompt information is sent to the target equipment; or
And sending statistical information about the target object in a preset time interval to the target device.
The functions of each module in each apparatus in the embodiment of the present application may refer to corresponding descriptions in the above method, and are not described herein again.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
As shown in fig. 7, it is a block diagram of an electronic device according to an image processing method of the embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 7, the electronic apparatus includes: one or more processors 701, a memory 702, and interfaces for connecting the various components, including a high-speed interface and a low-speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display Graphical information for a Graphical User Interface (GUI) on an external input/output device, such as a display device coupled to the Interface. In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 7, one processor 701 is taken as an example.
The memory 702 is a non-transitory computer readable storage medium as provided herein. The memory stores instructions executable by the at least one processor, so that the at least one processor executes the image processing method provided by the application. The non-transitory computer-readable storage medium of the present application stores computer instructions for causing a computer to execute the image processing method provided by the present application.
The memory 702, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the image processing method in the embodiment of the present application (for example, the acquisition module 301, the analysis module 302, the determination module 303, and the output module 304 shown in fig. 3). The processor 701 executes various functional applications of the server and data processing, i.e., implements the image processing method in the above-described method embodiment, by running non-transitory software programs, instructions, and modules stored in the memory 702.
The memory 702 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the electronic device of the image processing method, and the like. Further, the memory 702 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 702 may optionally include memory located remotely from the processor 701, which may be connected to the electronic devices via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device may further include: an input device 703 and an output device 704. The processor 701, the memory 702, the input device 703 and the output device 704 may be connected by a bus or other means, and fig. 7 illustrates an example of a connection by a bus.
The input device 703 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic apparatus, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, or other input devices. The output devices 704 may include a display device, auxiliary lighting devices (e.g., LEDs), and tactile feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, Integrated circuitry, Application Specific Integrated Circuits (ASICs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (Cathode Ray Tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present application can be achieved, and the present invention is not limited herein.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (12)
1. An image processing method, comprising:
acquiring an image of a target object at the current moment;
analyzing at least one characteristic of a sitting posture of a target object in the image;
based on the result of the analysis, determining whether at least one characteristic of the sitting posture meets a corresponding standard;
when at least one characteristic of the sitting posture has a target characteristic which does not meet the corresponding standard, outputting prompt information corresponding to the target characteristic.
2. The method of claim 1, wherein the at least one characteristic comprises at least one of:
a relative positional relationship between the target object and a surrounding environment, characteristic information of a body part of the target object.
3. The method of claim 1, wherein the obtaining the image of the target object at the current time comprises:
in the process of collecting the images of the target object according to a preset first time interval, taking the collected images as the obtained images of the target object at the current moment; or
And acquiring the image of the target object at the current moment according to a preset second time interval from the image of the target object acquired in real time.
4. The method of claim 1, further comprising:
sending the image containing the target features which do not meet the corresponding standards to the target equipment;
alternatively, the first and second electrodes may be,
and sending the image containing the target characteristics which do not meet the corresponding standards and the corresponding label to the target equipment.
5. The method of claim 1, wherein outputting the prompt corresponding to the target feature comprises:
outputting prompt information in an audio form; or
And outputting the prompt information in a text form.
6. An image processing apparatus characterized by comprising:
the acquisition module is used for acquiring an image of the target object at the current moment;
an analysis module for analyzing at least one characteristic of a sitting posture of a target object in the image;
the judging module is used for judging whether at least one characteristic of the sitting posture meets a corresponding standard or not based on the analysis result;
and the output module is used for outputting prompt information corresponding to the target characteristics when the target characteristics which do not meet the corresponding standards exist in at least one characteristic of the sitting posture.
7. The apparatus of claim 6, wherein the at least one characteristic comprises at least one of:
a relative positional relationship between the target object and a surrounding environment, characteristic information of a body part of the target object.
8. The apparatus of claim 6, wherein the acquiring module performs the following steps in acquiring the image of the target object at the current time:
in the process of collecting the images of the target object according to a preset first time interval, taking the collected images as the obtained images of the target object at the current moment; or
And acquiring the image of the target object at the current moment according to a preset second time interval from the image of the target object acquired in real time.
9. The apparatus of claim 6, wherein the device further comprises:
a sending module configured to:
sending the image containing the target features which do not meet the corresponding standards to the target equipment;
alternatively, the first and second electrodes may be,
and sending the image containing the target characteristics which do not meet the corresponding standards and the corresponding label to the target.
10. The apparatus of claim 6, wherein the output module is further configured to:
outputting prompt information in an audio form; or
And outputting the prompt information in a text form.
11. An image processing apparatus characterized by comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
12. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-5.
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| CN114220123A (en) * | 2021-12-10 | 2022-03-22 | 江苏泽景汽车电子股份有限公司 | Posture correction method and device, projection equipment and storage medium |
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