CN115100125A

CN115100125A - Data processing method, device, equipment, medium and product

Info

Publication number: CN115100125A
Application number: CN202210663499.9A
Authority: CN
Inventors: 赵宇鹏
Original assignee: Singularity Proximity Technology Shanghai Co ltd
Current assignee: Singularity Proximity Technology Shanghai Co ltd
Priority date: 2022-06-13
Filing date: 2022-06-13
Publication date: 2022-09-23

Abstract

An embodiment of the application provides a data processing method, device, equipment, medium and product, including: acquiring first RGB data of a target color displayed by a first laser beam scanning LBS optical machine; and adjusting the first RGB data according to the standard RGB data so that the first RGB data of different first LBS light machines for displaying the target color are consistent. According to the embodiment of the application, the consistency of the display effect of the LBS optical machine during large-scale mass production is ensured.

Description

Data processing method, device, equipment, medium and product

Technical Field

The present application belongs to the field of data processing technologies, and in particular, to a data processing method, apparatus, device, medium, and product.

Background

With the rapid development of science and technology, smart glasses can be seen in real life, and a Laser Beam Scanning (LBS) optical machine is a form of optical machine for smart glasses, which mainly focuses a three-color light source in an RGB color mode into a color light source to display related contents.

However, when the LBS light is produced in a large scale, the led light sources of RGB may have different colors, which may result in different display effects of the LBS light.

Disclosure of Invention

The embodiment of the application provides a data processing method, a data processing device, data processing equipment, a data processing medium and a data processing product, and the consistency of display effects of LBS (location based service) optical machines in large-scale mass production is ensured.

In a first aspect, an embodiment of the present application provides a data processing method, where the method includes:

acquiring first RGB data of a target color displayed by a first laser beam scanning LBS optical machine;

and adjusting the first RGB data according to the standard RGB data so that the first RGB data of different first LBS light machines for displaying the target color are consistent.

In an alternative embodiment of the first aspect, the first RGB data comprises a first RGB mean and a first RGB variance;

acquiring first RGB data of a first laser beam scanning LBS ray machine displaying target color, comprising:

displaying a first image of a target color based on a first LBS (location based service) optical machine acquired by image acquisition equipment, and acquiring RGB (red, green and blue) data of a plurality of pixel points in the first image;

the first RGB data of the target color displayed by the first LBS light machine is obtained by respectively calculating a first RGB average value and a first RGB variance of RGB data of a plurality of pixel points in the first image.

In an alternative embodiment of the first aspect, before adjusting the first RGB data according to the standard RGB data, the method further comprises:

acquiring a preset number of second images, wherein the second images are images of target colors displayed by each second LBS light machine in the preset number of second LBS light machines acquired by image acquisition equipment;

obtaining a preset number of second RGB average values and a preset number of second RGB variances by calculating the second RGB average values and the second RGB variances of a plurality of RGB data corresponding to a plurality of pixel points included in each second image;

and clustering the second RGB average values of the preset number and the second RGB variances of the preset number respectively to obtain standard RGB data.

In an alternative embodiment of the first aspect, adjusting the first RGB data according to the standard RGB data comprises:

calculating a difference value between the first RGB data and the standard RGB data to obtain a target difference value;

and adjusting the first RGB data according to the target difference value.

In an alternative embodiment of the first aspect, the first RGB data comprises a first R value, a first G value, and a first B value; the standard RGB data comprises a standard R value, a standard G value and a standard B value;

obtaining a target difference value by calculating a difference value between the first RGB data and the standard RGB data, including:

obtaining a target R difference value by calculating the difference value between the first R value and the standard R value;

obtaining a target G difference value by calculating the difference value between the first G value and the standard G value;

the target B difference is obtained by calculating a difference based on the first B value and the standard B value.

In a second aspect, an embodiment of the present application provides a data processing apparatus, including:

the acquisition module is used for acquiring first RGB data of a target color displayed by the first laser beam scanning LBS ray machine;

and the adjusting module is used for adjusting the first RGB data according to the standard RGB data so as to enable the first RGB data of different first LBS light machines to be consistent when displaying the target color.

In an alternative embodiment of the second aspect, the first RGB data comprises a first RGB mean and a first RGB variance;

the acquisition module is further configured to display a first image of the target color based on a first LBS optical machine acquired by image acquisition equipment, and acquire RGB data of a plurality of pixel points in the first image;

the acquisition module is further configured to acquire first RGB data of the first LBS light machine displaying the target color by respectively calculating a first RGB average value and a first RGB variance of the RGB data of the plurality of pixel points in the first image.

In a third aspect, an electronic device is provided, including: a memory for storing computer program instructions; a processor configured to read and execute the computer program instructions stored in the memory to perform the data processing method provided in any optional implementation manner of the first aspect.

In a fourth aspect, a computer storage medium is provided, on which computer program instructions are stored, and the computer program instructions, when executed by a processor, implement the data processing method provided in any optional implementation manner of the first aspect.

In a fifth aspect, a computer program product is provided, and when executed by a processor of an electronic device, instructions in the computer program product cause the electronic device to execute a data processing method provided by any optional implementation manner of the first aspect.

In the embodiment of the present application, the first RGB data of the target color displayed by the first laser beam LBS optical machine may be acquired, and then the first RGB data may be adjusted according to the standard RGB data, so that the first RGB data of the target color displayed by the different first LBS optical machines are consistent. Therefore, the consistency of the display effect of the LBS optical machine for mass production can be ensured during the mass production of the LBS optical machine.

Drawings

In order to more clearly describe the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings may be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic flowchart of a data processing method provided in an embodiment of the present application;

FIG. 2 is a schematic flow chart diagram of another data processing method provided in the embodiments of the present application;

FIG. 3 is a schematic flow chart diagram illustrating a further data processing method provided in an embodiment of the present application;

fig. 4 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.

It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.

In real life, in order to solve the problem that different LBS optical machines have different display effects due to color differences of RGB three-color light sources leaving factory during the LBS optical machine production in the prior art, embodiments of the present application provide a data processing method, apparatus, device, medium, and product. Therefore, the consistency of the display effect of the LBS optical machine for mass production can be ensured during the mass production of the LBS optical machine.

In the data processing method provided by the embodiment of the application, the execution main body may be a data processing device, or a control module, such as an SOC control chip, in the data processing device for executing the data processing method. In the embodiment of the present application, a data processing method provided in the embodiment of the present application is described by taking an example in which a data processing apparatus executes a data processing scheme.

The data processing method provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings by specific embodiments.

Fig. 1 is a schematic flowchart of a data processing method according to an embodiment of the present application.

As shown in fig. 1, the executing device of the data processing method is a data processing apparatus, and may specifically include the following steps:

s110, acquiring first RGB data of a target color displayed by a first laser beam scanning LBS ray machine.

The first LBS optical machine may be any LBS optical machine among the mass-produced LBS optical machines. The target color may be, for example, white, black, yellow, purple, or other colors, and may be specific according to the actual situation, which is not limited herein. The first RGB data may be related data of a bundle of color light sources converged by three color light sources in the RGB color mode when the first LBS ray machine displays the target color.

Specifically, when the LBS optical machines are manufactured in mass production, the data processing device may obtain the first RGB data of the first LBS optical machine displaying the target color. For example, the data processing apparatus may acquire first RGB data of the first LBS light machine when displaying white.

And S120, adjusting the first RGB data according to the standard RGB data so as to enable the first RGB data of different first LBS light machines to display the target color to be consistent.

Specifically, after acquiring the first RGB data of the first LBS bare engine displaying the target color, the data processing device may adjust the acquired first RGB data according to the standard RGB data, so that the first RGB data of the different first LBS bare engines displaying the target color are consistent. Wherein, the standard RGB data can be used for measuring the standard of RGB data of LBS optical machine when displaying target color

In an embodiment, since the first RGB data may include the first RGB average and the first RGB variance, based on which, in order to accurately acquire the first RGB data, as shown in fig. 2, the above-mentioned S110 may further include the following steps:

s210, displaying a first image of a target color based on a first LBS light machine acquired by image acquisition equipment, and acquiring RGB data of a plurality of pixel points in the first image.

The image capturing device may be an electronic device such as a camera or a video camera, which can be used to capture an image, and the specific image capturing device is not limited herein. The first image may be an image acquired by the image acquisition device when the first LBS light machine displays a target color, and the first image may include a plurality of pixel points.

Specifically, the data processing device may obtain RGB data of a plurality of pixel points included in the first image by analyzing the first image after the first image of the target color is displayed by the first LBS bare engine acquired by the image acquisition device.

In one example, the data processing apparatus may acquire RGB data of all pixel points included in the first image. Alternatively, the data processing device may also obtain RGB data of all pixels included in the central region of the first image or RGB data of a first predetermined number of pixels. Or, the first image is divided according to a preset method, and then the RGB data of the second preset number of pixels may be acquired from each of the regions included in the divided first image. Or, the data processing apparatus may also randomly select a plurality of pixel points from all the pixel points included in the first image, and further obtain RGB data of the plurality of pixel points. The first preset number and the second preset number may be preset values based on practical experience, and may be the same as or different from each other, which is not limited herein. The predetermined method may be, for example, a nine-grid method, which is not limited herein.

S220, first RGB data of target color displayed by the first LBS light machine are obtained by respectively calculating a first RGB average value and a first RGB variance of RGB data of a plurality of pixel points in the first image.

Wherein the first RGB data may include a first RGB mean and a first RGB variance.

The data processing device may calculate the average value and the variance of the RGB data of the plurality of pixel points, that is, calculate the first RGB average value and the first RGB variance, after acquiring the RGB data of the plurality of pixel points in the first image, and thus, may acquire the first RGB data of the first LBS bare engine displaying the target color.

In one example, in the case where the target color is a full white color, the data processing apparatus may cause each LBS light engine resulting from mass production to be displayed in a full white color, and capture an image of the LBS light engine currently displayed through the image pickup device. Based on the above, the data processing device can perform analysis processing based on the image of the LBS light machine to obtain the first RGB data of the LBS light machine displaying full white color. In addition, it should be noted that the manner of obtaining the first RGB data of the LBS optical machine displaying other colors is similar to the above-mentioned manner of obtaining the first RGB data of the LBS optical machine displaying full white color, and therefore, redundant description is not repeated here.

In this embodiment, the data processing apparatus may display the first image of the target color through the first LBS optical machine acquired by the image acquisition device, acquire RGB data of a plurality of pixel points in the first image, and further may calculate the first RGB average value and the first RGB variance of the RGB data of the plurality of pixel points, respectively, based on the RGB data of the plurality of pixel points included in the first image, so as to accurately acquire the first RGB data of the target color displayed by the first LBS optical machine, and further facilitate subsequent display of the same color through accurately adjusting the first RGB data, thereby ensuring that different LBS optical machines display the same color with the same display effect.

In order to accurately acquire the standard RGB data so that the first RGB data can be adjusted more accurately subsequently, in an embodiment, as shown in fig. 3, before the first RGB data is adjusted according to the standard RGB data, the data processing method related to the above may further include the following steps:

s310, acquiring a preset number of second images.

S320, obtaining a second RGB average value of a preset number and a second RGB variance of a plurality of RGB data corresponding to a plurality of pixel points included in each second image by calculating the second RGB average value and the second RGB variance of the preset number.

S330, clustering the second RGB average values in the preset number and the second RGB variances in the preset number respectively to obtain standard RGB data.

The preset number may be a preset value based on actual conditions or experience. The second image may be an image of a target color displayed by each of a preset number of second LBS light machines collected by the image collecting apparatus. The image capture device may be a camera, video camera, or the like electronic device that may be used to capture images. The standard RGB data may include a standard RGB variance and a standard RGB mean.

Specifically, the data processing apparatus may obtain the image of the target color through obtaining each of the second LBS optical machines in the preset number of second LBS optical machines, obtain the second RGB average value in the preset number and the second RGB variance in the preset number through calculating an average value and a variance of a plurality of RGB data corresponding to a plurality of pixel points included in each of the second images in the preset number, perform clustering processing on the second RGB average value in the preset number, and perform clustering processing on the second RGB variance in the preset number to obtain the standard average value RGB and the standard RGB variance, that is, the standard RGB data.

In an example, when the target color is full white, the data processing device may display 100 randomly selected LBS optical machines as full white one by one, and further may enable the image acquisition device to capture and record an image of each currently displayed LBS optical machine, so that the data processing device may perform analysis processing based on the image of each LBS optical machine, obtain an RGB average value and an RGB variance when the LBS optical machine displays full white, and further obtain 100 RGB average values and RGB variances, and further may perform clustering processing on the 100 RGB average values and the RGB variances, respectively, to obtain a full white standard RGB average value and a standard RGB variance displayed by the LBS optical machines. Besides, it should be noted that, when the target color is other colors, the standard RGB data is determined in a similar manner to the above-mentioned RGB standard data for determining that the LBS light machine displays full white color.

In addition, it should be noted that the standard RGB data may be stored in the memory of the LBS module, so that the subsequent data processing apparatus may directly read the standard RGB data stored in the memory of the LBS module to adjust the first RGB data.

In this embodiment, the predetermined number of second images may be obtained based on the image of the target color displayed by each of the predetermined number of second LBS light machines acquired by the image acquisition device, the predetermined number of second images may be obtained by calculating a second RGB average value and a second RGB variance of the plurality of RGB data corresponding to the plurality of pixel points included in each of the second images, the predetermined number of second RGB average values and the predetermined number of second RGB variances may be obtained, and the standard RGB data may be obtained by performing clustering processing on the predetermined number of second RGB average values and the predetermined number of second RGB variances, respectively. Therefore, the standard RGB data can be accurately calculated, and the first RGB data can be conveniently adjusted based on the standard RGB data.

In order to fully describe the data processing method provided in the embodiment of the present application in detail, in an embodiment, the above-mentioned step S120 may include the following steps:

and adjusting the first RGB data according to the target difference value.

The data processing means may calculate a target difference value between the first RGB data and the standard RGB data after acquiring the first RGB data of the first LBS light machine displaying the target color, so that the first RGB data of the first LBS light machine when displaying the target color may be adjusted based on the target difference value. Wherein the target difference value may be a difference value between the first RGB data and the standard RGB data.

In this embodiment, the first RGB data may be appropriately adjusted based on a difference between the first RGB data and the standard RGB data by calculating the difference. Therefore, the display effect that different first LBS ray machines display the same color can be ensured to be consistent.

The RGB data may be related data when three color light sources in the RGB color mode are converged into a bundle of color light sources, that is, the RGB data may include an R value, a G value, and a B value. Based on this, in order to more clearly describe the data processing method provided in the embodiment of the present application, in one embodiment, the above-mentioned first RGB data may include a first R value, a first G value, and a first B value, and accordingly, the standard RGB data may include a standard R value, a standard G value, and a standard B value.

The step of calculating the difference between the first RGB data and the standard RGB data to obtain the target difference may include the steps of:

and calculating the difference between the first B value and the standard B value to obtain a target B difference value.

Specifically, the data processing apparatus may obtain the target R difference values by calculating the difference values between the first R values and the standard R values, respectively; and obtaining a target G difference value by calculating the difference value between the first G value and the standard G value, and obtaining a target B difference value by calculating the difference value between the first B value and the standard B value.

In this embodiment, the data processing apparatus may calculate the target R difference, the target G difference, and the target B difference of the first RGB data and the standard RGB data, respectively, based on R, G, B channels included in the RGB data, so as to obtain the target difference, thereby facilitating the target difference to accurately adjust the first RGB data.

Based on the same inventive concept, the embodiment of the application also provides a data processing device. The data processing apparatus provided in the embodiment of the present application is specifically described with reference to fig. 4.

Fig. 4 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application.

As shown in fig. 4, the data processing apparatus 400 may include: an acquisition module 410 and an adjustment module 420.

The obtaining module 410 is configured to obtain first RGB data of a target color displayed by the first laser beam scanning LBS optical machine.

The adjusting module 420 is configured to adjust the first RGB data according to the standard RGB data, so that the first RGB data of the different first LBS bare engines displaying the target color are consistent.

In one embodiment, the first RGB data includes a first RGB mean and a first RGB variance.

The acquisition module is further used for displaying a first image of the target color based on a first LBS optical machine acquired by the image acquisition equipment, and acquiring RGB data of a plurality of pixel points in the first image.

The obtaining module is further configured to obtain first RGB data of the first LBS bare engine displaying the target color by respectively calculating a first RGB average value and a first RGB variance of the RGB data of the plurality of pixel points in the first image.

In an embodiment, the obtaining module is further configured to obtain a preset number of second images before adjusting the first RGB data according to the standard RGB data, where the second images are images of target colors displayed by each of a preset number of second LBS light machines acquired by the image acquisition device.

The data processing apparatus referred to above may further include a cluster processing module and a determination module.

The calculating module is used for calculating a second RGB average value and a second RGB variance of a plurality of RGB data corresponding to a plurality of pixel points included in each second image to obtain a preset number of second RGB average values and a preset number of second RGB variances.

And the clustering processing module is used for respectively clustering the second RGB average values in the preset number and the second RGB variances in the preset number to obtain standard RGB data.

In one embodiment, the data processing apparatus referred to above may further comprise a computing module.

And the calculating module is used for calculating the difference value between the first RGB data and the standard RGB data to obtain a target difference value.

And the adjusting module is also used for adjusting the first RGB data according to the target difference value.

In one embodiment, the first RGB data includes a first R value, a first G value, and a first B value; the standard RGB data includes a standard R value, a standard G value, and a standard B value.

And the calculating module is also used for calculating the difference between the first R value and the standard R value to obtain a target R difference value.

And the calculating module is also used for calculating the difference between the first G value and the standard G value to obtain a target G difference.

And the calculating module is also used for calculating the difference between the first B value and the standard B value to obtain a target B difference value.

Each module in the data processing apparatus provided in the embodiment of the present application may implement the method steps in any one of the embodiments shown in fig. 1 to fig. 3, and may achieve the corresponding technical effect, and for brevity, no further description is provided here.

Fig. 5 shows a hardware structure diagram of an electronic device provided in an embodiment of the present application.

The electronic device may comprise a processor 501 and a memory 502 in which computer program instructions are stored.

Specifically, the processor 501 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.

Memory 502 may include a mass storage for data or instructions. By way of example, and not limitation, memory 502 may include a Hard Disk Drive (HDD), a floppy Disk Drive, flash memory, an optical Disk, a magneto-optical Disk, tape, or a Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 502 may include removable or non-removable (or fixed) media, where appropriate. The memory 502 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 502 is non-volatile solid-state memory.

The memory may include Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors), it is operable to perform operations described with reference to the method according to an aspect of the disclosure.

The processor 501 reads and executes the computer program instructions stored in the memory 502 to implement any one of the data processing methods in the above embodiments.

In one example, the electronic device may also include a communication interface 503 and a bus 510. As shown in fig. 5, the processor 501, the memory 502, and the communication interface 503 are connected via a bus 510 to complete communication therebetween.

The communication interface 503 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application.

Bus 510 includes hardware, software, or both to couple the components of the online data traffic billing device to each other. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 510 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the present application, any suitable buses or interconnects are contemplated by the present application.

In addition, in combination with the data processing method in the foregoing embodiments, the embodiments of the present application may provide a computer storage medium to implement. The computer storage medium having computer program instructions stored thereon; the computer program instructions realize the data processing method provided by the embodiment of the application when being executed by the processor.

The embodiment of the present application further provides a computer program product, and when an instruction in the computer program product is executed by a processor of an electronic device, the electronic device executes the scientific and technological innovation achievement evaluation method provided in the embodiment of the present application.

It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.

The functional blocks shown in the above structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments can be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.

It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.

Aspects of the present disclosure are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, implement the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Above, only the specific implementation manner of the present application is provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.

Claims

1. A method of data processing, the method further comprising:

and adjusting the first RGB data according to standard RGB data so as to enable the first RGB data of the target color displayed by different first LBS ray machines to be consistent.

2. The method of claim 1, wherein the first RGB data comprises a first RGB mean and a first RGB variance;

the acquiring of the first RGB data of the first laser beam scanning LBS ray machine displaying the target color includes:

displaying a first image of the target color based on a first LBS (location based service) optical machine acquired by image acquisition equipment, and acquiring RGB (red, green and blue) data of a plurality of pixel points in the first image;

and respectively calculating a first RGB average value and a first RGB variance of RGB data of a plurality of pixel points in the first image to obtain first RGB data of the target color displayed by the first LBS light machine.

3. The method of claim 1, wherein prior to said adjusting said first RGB data according to standard RGB data, said method further comprises:

4. The method of claim 1, wherein adjusting the first RGB data according to the standard RGB data comprises:

and adjusting the first RGB data according to the target difference value.

5. The method of claim 4, wherein the first RGB data comprises a first R value, a first G value, and a first B value; the standard RGB data comprises a standard R value, a standard G value and a standard B value;

the obtaining a target difference value by calculating a difference value between the first RGB data and the standard RGB data includes:

6. A data processing apparatus, characterized in that the apparatus comprises:

and the adjusting module is used for adjusting the first RGB data according to standard RGB data so as to enable different first LBS light machines to display the first RGB data of the target color to be consistent.

7. The apparatus of claim 6, wherein the first RGB data comprises a first RGB mean and a first RGB variance;

8. An electronic device, characterized in that the device comprises: a processor and a memory storing computer program instructions;

the processor reads and executes the computer program instructions to implement the data processing method of any one of claims 1 to 5.

9. A computer storage medium having computer program instructions stored thereon which, when executed by a processor, implement a data processing method according to any one of claims 1 to 5.

10. A computer program product, characterized in that instructions in the computer program product, when executed by a processor of an electronic device, cause the electronic device to perform the data processing method according to any of claims 1-5.