CN115988316A - Image acquisition system and method based on virtual main board and hardware main board - Google Patents

Abstract

The application provides an image acquisition system and method based on a virtual main board and a hardware main board. The system includes: a virtual main board and a hardware main board; an image acquisition model, a signal transmission model, an image processing model and a peripheral model are configured on the virtual main board; The information and the request for capturing the image are sent to the hardware main board, and the image collected by the camera is received from the hardware main board; after receiving the request for capturing the image, the hardware main board controls the camera connected to the hardware main board to collect the image, and transmits the image to the image The acquisition model; the signal transmission model receives images from the image acquisition model and forwards them to the image processing model; the image processing model processes and stores the images. This application avoids the shortcoming of being unable to capture real images in real time by using the virtual main board alone, and effectively improves the image acquisition speed of the virtual main board.

Description

Image acquisition system and method based on virtual main board and hardware main board

technical field

The application belongs to the technical field of system simulation, and in particular relates to an image acquisition system and method based on a virtual main board and a hardware main board.

Background technique

Existing camera image processing debugging and embedded software development have the following shortcomings:

1) After the internal design and functions of the ISP are updated, the FPGA or SoC department needs to integrate the ISP into an FPGA or SoC to start the operating system, load the driver, and a series of tasks before capturing real-time images from the camera and sending them to the ISP. Processing, testing and tuning.

2) It takes a long time and the cost is high. In the case of frequent updates of the ISP version, it is impossible to achieve rapid iterative updates, which hinders the speed of the new version of the ISP to the market.

Contents of the invention

The present application provides an image acquisition system and method based on a virtual mainboard and a hardware mainboard, which are used to increase the speed of image acquisition by the virtual mainboard.

In the first aspect, an embodiment of the present application provides an image acquisition system based on a virtual main board and a hardware main board, including: a virtual main board and a hardware main board connected to the virtual main board; wherein: the virtual main board is configured with an image acquisition model, Signal transmission model, image processing model and peripheral model; The virtual main board is constructed through a virtualization platform; The image acquisition model monitors the configuration information of the virtual main board to the camera, and captures the configuration information of the virtual main board to the camera The request for getting an image is sent to the hardware main board, and the image collected by the camera of the hardware main board is received from the hardware main board; after receiving the request for capturing the image, the hardware main board controls the The camera collects images, and transmits the collected images to the image collection model; the signal transmission model is connected to the virtual main board and the image collection model respectively, receives the image from the image collection model, and sends The received image is forwarded to the image processing model; the image processing model is respectively connected in communication with the virtual main board and the signal transmission model, and processes the pictures received from the signal transmission model.

In an implementation manner of the first aspect, the peripheral models include at least a CPU model, an I2C control model, and a double-rate synchronous dynamic random access memory model.

In an implementation manner of the first aspect, the hardware main board is configured with: a connection module configured to establish a communication connection with the virtual main board; a configuration information control module configured to acquire the pair of virtual main boards from the image acquisition model configuration information of the camera, and write the configuration information into the camera connected to the hardware main board; the image acquisition module, after receiving the request for grabbing an image, controls the camera to collect images connected to the hardware main board, and The collected image is stored in the memory of the hardware motherboard; the image sending module reads the image from the memory and sends the image to the image collection model.

In an implementation manner of the first aspect, the image acquisition model includes: a monitoring module, which monitors the configuration information of the virtual main board to the camera, and sends the configuration information of the virtual main board to the camera and the request for capturing images to The hardware main board receives images collected by the camera of the hardware main board from the hardware main board; the first register submodule simulates camera register configuration and register reading and writing; the I2C interface submodule simulates communication with the I2C control model, to control the register submodel through the I2C control model.

In an implementation manner of the first aspect, the signal transmission model includes: a second register module that simulates serial interface register configuration and register reading and writing; a picture forwarding module that receives the image from the image acquisition model, and The received image is forwarded to the image processing model.

In an implementation manner of the first aspect, the image processing model includes at least one of the following modules: an image format conversion module, an automatic white balance adjustment module, an automatic focus module, and a color correction matrix module.

In an implementation manner of the first aspect, the virtual main board is an embedded SoC virtual main board; the operating systems supported by the virtual main board include Windows, Linux, FreeRTOS, and VxWorks.

In an implementation manner of the first aspect, the virtual main board includes a driver loading module for loading drivers of the image acquisition model, the signal transmission model, the image processing model, and the peripheral model.

In an implementation manner of the first aspect, the virtual main board and the hardware main board are connected through a network, a USB connection or a PCIe master-slave mode connection.

In the second aspect, the embodiment of the present application provides a virtualized image processing method, which is applied to the above-mentioned image acquisition system based on the virtual main board and the hardware main board, and the method includes: the image acquisition model monitors the configuration information of the virtual main board to the camera , sending the configuration information of the virtual main board to the camera and the request for capturing images to the hardware main board; after receiving the request for capturing images, the hardware main board controls the camera connected to the hardware main board to collect images, And transmit the image collected to the image acquisition model; the image acquisition model receives the image collected by the camera of the hardware motherboard from the hardware motherboard, and sends the received image to the signal transmission model; the signal transmission model from The image acquisition model receives the image, and forwards the received image to the image processing model; the image processing model is respectively connected to the virtual main board and the signal transmission model in communication, and is connected to the signal from the signal The pictures received by the transmission model are processed.

The image acquisition system based on the virtual main board and the hardware main board provided by the embodiment of the present application connects the virtual platform and the real hardware development platform through the network, avoiding the shortcomings of using the virtual platform alone and being unable to capture real images in real time, and making better use of The advantages of the real camera that can capture images in real time are realized, and the speed of image acquisition by the virtual main board is effectively improved.

Description of drawings

Fig. 1 shows the schematic diagram of the overall principle structure of the image acquisition system based on the virtual main board and the hardware main board described in the embodiment of the present application;

Fig. 2 shows the schematic structural diagram of the principle structure of the virtual main board in the image acquisition system based on the virtual main board and the hardware main board described in the embodiment of the present application;

Fig. 3 shows the schematic structural diagram of the principle structure of the image acquisition model in the image acquisition system based on the virtual main board and the hardware main board described in the embodiment of the present application;

Fig. 4 shows the schematic structural diagram of the principle structure of the transmission interface control model in the image acquisition system based on the virtual main board and the hardware main board described in the embodiment of the present application;

Fig. 5 shows the schematic structural diagram of the principle structure of the image processing model in the image acquisition system based on the virtual main board and the hardware main board described in the embodiment of the present application;

Fig. 6 shows the principle structural diagram of the hardware motherboard in the image acquisition system based on the virtual motherboard and the hardware motherboard described in the embodiment of the present application;

FIG. 7 is a schematic flowchart of a method for processing a virtualized image according to an embodiment of the present application.

Component designation description

100 Image acquisition system based on virtual motherboard and hardware motherboard

110 virtual motherboard

120 Image Acquisition Model

121 Monitoring module

122 The first register sub-module

123 I2C interface sub-module

130 Signal Transmission Model

131 Second register module

132 Image forwarding module

140 Image processing model

141 Image format conversion module

142 Automatic white balance adjustment module

143 auto focus module

144 Color Correction Matrix Module

150 peripheral models

151 CPU model

152 I2C control model

153 DDR model

160 Folder for storing pictures

170 hardware motherboard

171 Connection module

172 configuration information control module

173 Image acquisition module

174 Image sending module

101 Electronic equipment

1001 Processor

1002 memory

S100～S400 Steps

Detailed ways

Embodiments of the present application are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic idea of the application, and only the components related to the application are shown in the diagrams rather than the number, shape and Dimensional drawing, the type, quantity and proportion of each component can be changed arbitrarily during actual implementation, and the component layout type may also be more complicated.

The following embodiments of the present application provide a virtualized image processing method, system, storage medium, and electronic device, and realize the image processing function of the camera through a software model.

Fig. 1 shows the overall schematic structural diagram of the image acquisition system 100 based on the virtual main board and the hardware main board in this embodiment; As shown in Fig. 1, the present embodiment provides a kind of image acquisition system 100 based on the virtual main board and the hardware main board, the The image acquisition system 100 based on a virtual main board and a hardware main board includes: a virtual main board 110 and a hardware main board 170 connected to the virtual main board 110, the virtual main board 110 and the hardware main board 170 are connected through but not limited to a network, a USB connection or PCIe master-slave mode connection. In this embodiment, the virtual main board 110 and the hardware main board 170 are connected through a network as an example for illustration.

Fig. 2 shows the schematic structural diagram of the principle structure of the virtual main board 110 in the image acquisition system 100 based on the virtual main board 110 and the hardware main board 170 described in this embodiment; , a signal transmission model 130, an image processing model 140, and a peripheral model 150; wherein, the peripheral model 150 at least includes a CPU (Central Processing Unit, central processing unit) model 151, I2C (Inter-Integrated Circuit, two-wire serial bus) Control model 152, DDR (Double Data Rate, double rate synchronous dynamic random access memory) model.

Wherein, the virtual mainboard 110 is constructed through a virtualization platform.

In this embodiment, the virtualization platform is but not limited to QEMU (Quick EMUlator, virtual operating system simulator), SNPS VDK (Synopsys VoIP Development Kit, software development kit), Intel Simics (Intel full system virtual machine) wait. Wherein, in this embodiment, the virtual mainboard 110 is constructed through the QEMU virtualization platform.

QEMU is a general-purpose, open-source computer emulator and virtual motherboard 110, which supports full-system simulation, and can support x86 (computer language instruction set executed by microprocessor), ARM (Advanced RISC Machine, advanced reduced instruction set computer), MIPS (Million Instructions Per Second, the average execution speed of single-word-length fixed-point instructions), PowerPC (Performance Optimization With Enhanced RISC–Performance Computing, a central processing unit with a reduced instruction set (RISC) architecture), RISC-V (open source based on the principle of reduced instruction set Instruction set architecture) and other architectures, and support Windows (Microsoft Windows operating system), Linux (operating system kernel), FreeRTOS (embedded real-time operating system), VxWorks (real-time operating system) and other operating systems, the upper layer software is on the virtual motherboard 110 Run without any modification.

Among them, the QEMU virtualization platform has built-in multiple device model modules for building virtual motherboards, such as CPU, DDR, interrupt controller, serial port, I2C controller, ISP (Image Signal Processing, image signal processing), MIPICSI (MIPI CSI-2, Camera Serial Interface, camera serial interface) controller, camera and other device model modules. When building a virtual motherboard, connect the required device models such as CPU, DDR, interrupt controller, serial port, I2C controller, ISP, MIPI CSI controller, camera, etc. through corresponding interfaces, and allocate the address space and interrupt of each device model module number, etc., finally forming a virtual motherboard 110 similar to a hardware embedded motherboard.

Specifically, in this embodiment, the virtual main board 110 is an embedded SoC virtual main board 110 . That is, this embodiment uses QEMU to build a complete embedded SoC virtual motherboard 110, including CPU model, I2C control mode, DDR model 153 and other necessary components.

Wherein, the operating systems supported by the virtual mainboard 110 include but not limited to Windows, Linux, FreeRTOS, and VxWorks.

In this embodiment, the virtual motherboard 110 includes a driver loading module for loading drivers of the image acquisition model 120 , the signal transmission model 130 , the image processing model 140 and the peripheral model 150 .

Therefore, the image acquisition system 100 based on a virtual mainboard and a hardware mainboard in this embodiment can start such as a complete Linux or other operating system of ARM64 on the virtual mainboard 110, and can also load a camera, an I2C controller, and MIPI CSI on the virtual mainboard 110. Controller, ISP and other device drivers.

In this embodiment, the image acquisition model 120, the signal transmission model 130, the image processing model 140 and other components are developed and constructed using but not limited to C language, and the image acquisition model 120, the signal transmission model 130, the image processing model 140 and the virtual The motherboard 110 is integrated.

In this embodiment, constructing the image acquisition model 120, the signal transmission model 130, the image processing model 140, etc. is to use software to simulate the functions of the hardware, realize its input and output and register access control, and make its external software interface consistent with the real hardware .

In this embodiment, the image acquisition model 120 communicates with the virtual main board 110, monitors the configuration information of the virtual main board 110 for the camera, and transmits the configuration information of the virtual main board 110 for the camera and the request for capturing images The image is sent to the hardware main board 170 and received from the hardware main board 170 by the camera of the hardware main board 170 .

Specifically, in this embodiment, as shown in FIG. 3 , the image acquisition model 120 includes: a monitoring module 121 , a first register submodule 122 , and an I2C interface submodule 123 .

Wherein, the monitoring module 121 monitors the configuration information of the camera from the virtual main board 110, sends the configuration information of the virtual main board 110 to the camera and a request for capturing an image to the hardware main board 170, and receives the information from the hardware main board 170. 170 receives the image collected by the camera of the hardware motherboard 170; the first register submodule 122 simulates camera register configuration and register reading and writing; the I2C interface submodule 123 is used to simulate the I2C interface and communicate with the I2C control model 152, The register sub-model can be controlled by the I2C control model 152 .

Therefore, the image acquisition model 120 of this embodiment can realize the following functions:

1) Realize TCP client and connect with hardware motherboard 170;

2) monitor the virtual main board 110 and the configuration of the camera driver to the camera, and send the corresponding register configuration to the hardware main board 170 through TCP;

3) monitor the configuration of the virtual main board 110 to capture the image by the camera, and send the request for capturing the image to the hardware main board 170 by TCP;

4) Get the image captured by the camera transmitted from the hardware motherboard 170 through TCP, and send the data to the signal transmission model 130 at the back end, and the signal transmission model 130 transmits it to the image processing model 140 for image processing.

Therefore, the image acquisition model 120 of this embodiment can also realize the following hardware camera functions:

1) Function configuration register

2) I2C interface to support I2C controller to read and write camera registers.

In this embodiment, the signal transmission model 130 is connected to the virtual main board 110 and the image acquisition model 120 respectively, receives the image from the image acquisition model 120, and forwards the received image to The image processing model 140 .

In this embodiment, the signal transmission model 130 is, but not limited to, a MIPI CSI controller (MIPI CSI-2, Camera Serial Interface, camera serial interface) model. For example, it can also be DVP (Digital Video Port, digital video port), (Serial Peripheral Interface, serial peripheral interface) controller model.

Specifically, in this embodiment, as shown in FIG. 4 , the signal transmission model 130 further includes: a second register module 131 and a picture forwarding module 132 .

Wherein, the second register module 131 simulates serial interface register configuration and register reading and writing; the image forwarding module 132 receives the image from the image acquisition model 120, and forwards the received image to the image Process model 140.

In this embodiment, the MIPI CSI controller model can realize the following hardware camera serial interface functions:

1) Function configuration register;

2) Receive the picture data sent by the image acquisition model 120 and forward it to the back-end image processing model 140 .

In this embodiment, the image processing model 140 is respectively connected to the virtual main board 110 and the signal transmission model 130 in communication, processes the pictures received from the signal transmission model 130, and converts the processed pictures sent to the double-rate synchronous DRAM model for storage.

Specifically, in this embodiment, as shown in FIG. 5 , the image signal processing model 140 includes at least one of the following modules: a picture format conversion module 141, an automatic white balance adjustment module 142, an automatic focus module 143, and a color correction matrix Module 144.

Therefore, the image processing model 140 of this embodiment can realize the following hardware ISP functions:

1) Image format conversion;

2) Automatic white balance adjustment;

3) Auto focus;

4) Color correction matrix.

As shown in FIG. 7 , in this embodiment, the hardware main board 170 is configured with: a connection module 171 , a configuration information control module 172 , an image acquisition module 173 and an image sending module 174 .

In this embodiment, the connection module 171 is used to establish a communication connection with the virtual main board 110 .

In this embodiment, the configuration information control module 172 obtains the camera configuration information of the virtual main board 110 from the image acquisition model, and writes the configuration information into the camera connected to the hardware main board 170 .

In this embodiment, after the image capture module 173 receives the request for capturing an image, it controls the camera connected to the hardware mainboard 170 to capture an image, and stores the captured image in the hardware mainboard 170. Memory (DDR).

In this embodiment, the image sending module 174 reads the image from the memory, and sends the image to the image acquisition model.

The working process of the image acquisition system 100 based on the virtual main board and the hardware main board of the present embodiment is as follows:

1. Start the Linux operating system on the QEMU ARM64 virtual motherboard 110, and the image acquisition model of QEMU realizes the following functions:

2) Realize TCP (Transmission Control Protocol, Transmission Control Protocol) client (client) and connect with hardware motherboard 170,

3) Monitor the configuration of the camera by the virtual main board 110 and the camera driver, and send the corresponding register configuration to the hardware main board 170 through TCP

4) Monitor the configuration of the virtual main board 110 to capture the image by the camera, and send the request for capturing the image to the hardware main board 170 by TCP

5) Capture the image from the camera transmitted by the hardware motherboard 170 through TCP, and send the data to the MIPICSI->ISP component at the back end for image processing.

Two, start the Linux operating system on the hardware main board 170, and run the application program, the application program realizes the following functions:

1) Implement TCP server (server) and connect with QEMU;

2) Get the camera configuration information sent by the virtual motherboard 110 through TCP, and write the configuration information into the camera by calling the I2C interface;

3) Listen to the capture image request sent by the virtual main board 110, based on the MIPI CSI controller on the configuration hardware development board, the DMA (Direct Memory Access, direct memory access) controller and other components put the picture captured by the camera into the cache of the DDR (buffer), and then send the image data to the virtual main board 110 through TCP.

Therefore, the image acquisition system based on the virtual main board 110 and the hardware main board 170 in this embodiment has the following effects:

1) start Linux on the virtual mainboard 110 and the real hardware, connect through the network after loading the driver, and connect the virtual mainboard 110 and the real hardware development platform through the network;

2) The image captured by the camera on the real hardware can be transmitted to the camera of the virtual main board 110 in real time, and further transmitted to the back-end components of the virtual main board 110, avoiding the shortcoming of using the virtual main board 110 alone and unable to capture real images in real time, Make better use of the advantages that real cameras can capture images in real time;

3) The application of the hardware main board 170 isolates and hides the connection between the virtual main board 110 and the hardware main board 170, data transmission and other parts, so the system and application on the upper layer of the virtual main board 110 cannot perceive its own configuration of the camera, and data processing is actually two As a result of the division of labor and cooperation between different platforms, from the perspective of the system software and applications of the virtual mainboard 110, they are configured with the camera on the virtual mainboard 110, and what they get is also the real-time image captured by the camera on the virtual mainboard 110, so it can support complete driver application development, and camera tuning work.

4) It ensures that the developed applications can be transplanted to other real hardware platforms without modification

5) Multiple virtual motherboards 110 can be connected and used at the same time through time-division multiplexing on real hardware

As shown in FIG. 7 , this embodiment also provides a virtualized image processing method, which is applied to the above-mentioned image acquisition system 100 based on a virtual mainboard and a hardware mainboard, and the method includes:

Step S100, the image acquisition model monitors the configuration information of the virtual main board to the camera, and sends the configuration information of the virtual main board to the camera and the request for capturing images to the hardware main board;

Step S200, after receiving the request for capturing images, the hardware mainboard controls the camera connected to the hardware mainboard to collect images, and transmits the collected images to the image collection model;

Step S300, the image acquisition model receives the image collected by the camera of the hardware motherboard from the hardware motherboard, and sends the received image to the signal transmission model;

Step S400, the signal transmission model receives the image from the image acquisition model, and forwards the received image to the image processing model;

Step S500, the image processing model communicates with the virtual main board and the signal transmission model respectively, processes the pictures received from the signal transmission model, and sends the processed pictures to the double rate Synchronous DRAM model for storage.

In this application, the image acquisition system 100 based on a virtual mainboard and a hardware mainboard can realize the virtualized image processing method described in this embodiment, so for the specific implementation details of the virtualized image processing method, refer to the virtual mainboard and hardware mainboard-based The detailed description of the image acquisition system 100 will not be repeated here. However, the implementation system of the virtualized image processing method described in the present invention includes but is not limited to the image acquisition system 100 based on the virtual main board and the hardware main board listed in this embodiment. Those skilled in the art can clearly understand that for the convenience of description and brevity, only the division of the above-mentioned functional units and modules is used as an example. In practical applications, the above-mentioned function distribution can be completed by different functional units and modules according to the needs, that is, the internal structure of the system/device is divided into different functional units or modules to complete all or part of the functions described above.

In the several embodiments provided in this application, it should be understood that the disclosed system, device or method may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of modules/units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or units can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or modules or units may be in electrical, mechanical or other forms.

A module/unit described as a separate component may or may not be physically separate, and a component shown as a module/unit may or may not be a physical module, that is, it may be located in one place, or it may be distributed to multiple network units superior. Part or all of the modules/units may be selected according to actual needs to achieve the purpose of the embodiments of the present application. For example, each functional module/unit in each embodiment of the present application may be integrated into one processing module, each module/unit may exist separately physically, or two or more modules/units may be integrated into one module/unit in the unit.

Those of ordinary skill in the art should further realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the hardware and software interchangeability, the composition and steps of each example have been generally described in terms of functions in the above description. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

The image acquisition system based on the virtual main board and the hardware main board provided by the embodiment of the present application can simulate the functions of the camera, camera serial interface (MIPI CSI), image signal processing (ISP) and other hardware components through the software model, and realize it through the software model With the function of camera image processing, various operating systems can be started on the virtual motherboard, and it supports the development of complete camera data stream applications.

The above-mentioned embodiments are only illustrative to illustrate the principles and effects of the present application, but are not intended to limit the present application. Any person familiar with the technology can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical ideas disclosed in the application shall still be covered by the claims of the application.

Claims (10)

1. An image acquisition system based on a virtual mainboard and a hardware mainboard, comprising: a virtual mainboard and a hardware mainboard connected to the virtual mainboard; wherein: An image acquisition model, a signal transmission model, an image processing model and a peripheral model are configured on the virtual main board; The virtual motherboard is constructed through a virtualization platform; The image acquisition model monitors the configuration information of the virtual main board to the camera, sends the configuration information of the virtual main board to the camera and the request for capturing images to the hardware main board, and receives the camera of the hardware main board from the hardware main board captured images; After receiving the request for capturing the image, the hardware main board controls the camera connected to the hardware main board to collect images, and transmits the collected images to the image acquisition model; The signal transmission model is respectively connected to the virtual main board and the image acquisition model, receives the image from the image acquisition model, and forwards the received image to the image processing model; The image processing model is connected in communication with the virtual main board and the signal transmission model, and processes the pictures received from the signal transmission model. 2. the image acquisition system based on virtual main board and hardware main board according to claim 1, is characterized in that, described peripheral model at least comprises CPU model, I2C control model, double speed synchronous dynamic RAM model. 3. the image acquisition system based on virtual main board and hardware main board according to claim 1, is characterized in that, is configured with on described hardware main board: A connection module, configured to establish a communication connection with the virtual mainboard; The configuration information control module obtains the configuration information of the virtual main board to the camera from the image acquisition model, and writes the configuration information into the camera connected to the hardware main board; The image acquisition module, after receiving the request for grabbing the image, controls the camera connected to the hardware main board to collect the image, and stores the collected image to the memory of the hardware main board; An image sending module, reads the image from the memory, and sends the image to the image acquisition model. 4. the image acquisition system based on virtual main board and hardware main board according to claim 2, is characterized in that, described image acquisition model comprises: The monitoring module monitors the configuration information of the virtual main board to the camera, sends the configuration information of the virtual main board to the camera and the request for grabbing images to the hardware main board, and receives the video collected by the camera of the hardware main board from the hardware main board. image; The first register sub-module, analog camera register configuration and register read and write; The I2C interface sub-module simulates communication with the I2C control model, so as to control the register sub-model through the I2C control model. 5. the image acquisition system based on virtual main board and hardware main board according to claim 2, is characterized in that, described signal transmission model comprises: The second register module simulates serial interface register configuration and register reading and writing; The image forwarding module receives the image from the image acquisition model, and forwards the received image to the image processing model. 6. The image acquisition system based on virtual mainboard and hardware mainboard according to claim 1, wherein the image processing model at least includes the following modules: picture format conversion module, automatic white balance adjustment module, autofocus module , Color correction matrix module. 7. the image acquisition system based on virtual mainboard and hardware mainboard according to claim 1, is characterized in that, described virtual mainboard is embedded SoC virtual mainboard; The operating system that described virtual mainboard supports comprises Windows, Linux, FreeRTOS, VxWorks. 8. the image acquisition system based on virtual main board and hardware main board according to claim 1, is characterized in that, described virtual main board comprises driver loading module, loads described image acquisition model, described signal transmission model, described image processing model and the driver of the peripheral model. 9. the image acquisition system based on virtual main board and hardware main board according to claim 1, is characterized in that, described virtual main board and described hardware main board are connected by network connection, USB connection or PCIe master-slave mode. 10. A virtualized image processing method, characterized in that it is applied to the image acquisition system based on a virtual motherboard and a hardware motherboard according to any one of claims 1 to 8, said method comprising: The image acquisition model monitors the configuration information of the camera on the virtual main board, and sends the configuration information of the virtual main board to the camera and the request for capturing images to the hardware main board; After receiving the request for capturing the image, the hardware main board controls the camera connected to the hardware main board to collect images, and transmits the collected images to the image acquisition model; The image acquisition model receives the image collected by the camera of the hardware motherboard from the hardware motherboard, and sends the received image to the signal transmission model; the signal transmission model receives the image from the image acquisition model, and forwards the received image to the image processing model; The image processing model is respectively connected in communication with the virtual main board and the signal transmission model, and processes the pictures received from the signal transmission model.

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