Desktop computer algorithm operating system

Abstract

The invention relates to a desk computer algorithm operating system. The system comprises a video capture device, a first enhancement device, a second enhancement device, a third enhancement device, a component identification mechanism and a numerical value analysis mechanism. The system can dynamically select a search range for searching a reference coding block when intra-frame coding is performed on the whole picture according to the complexity of component value distribution of a key target in the picture.

Description

Technical Field

[0001] The present invention relates to the field of computer systems, and more particularly, to a desktop computer algorithm operating system. Background Art

[0002] A desktop computer is an independent and separate computer that has no connection with other components at all. It is relatively large in size compared to laptops and netbooks. Devices such as the host and monitor are generally relatively independent and usually need to be placed on a computer desk or a dedicated workbench. Hence, it is named a desktop computer. The hardware system of a desktop computer includes: a chassis (power supply, hard disk, memory, motherboard, CPU - central processing unit, optical drive, sound card, network card, graphics card), a monitor, a keyboard, a mouse, etc. (optionally, it can be equipped with headphones, speakers, printers, video, etc.). Generally, the motherboard of a desktop computer has an on-board sound card and network card. Some motherboards are equipped with an integrated graphics card. The role of the CPU in a desktop computer can be said to be equivalent to the role of the brain in the human body, and all computer programs are run by it.

[0003] CN118368131A discloses an industrial Internet information security analysis method for improving a computer algorithm model, belonging to the field of industrial Internet information security technology. It solves the problems in the prior art such as the lag in industrial data information processing ability, poor information security protection ability, low data information processing efficiency, and the phenomenon of information loss and theft easily caused by virus infection. The method includes obtaining industrial Internet transmission information, screening the content of industrial Internet information, obtaining image information, training an algorithm model according to the image information, separating the image information, finding information to be detected, double-identifying the information, extracting content information, and performing simulation execution to determine the security performance. By setting an improved algorithm model, the algorithm model of the computer is updated to improve information security and work efficiency.

[0004] CN119443294A discloses a computer-implemented method for encoding an expected matrix into a quantum circuit. The method includes obtaining an MPO representation of the expected matrix; determining an approximate rank of the expected matrix based on the MPO representation; determining an initial guess of an orthogonal approximation of the expected matrix in the form of a tensor network of isometric sub-tensors having the approximate rank; starting from the initial guess, iteratively optimizing the orthogonal approximation of the expected matrix based on an optimization algorithm that minimizes a cost function under the isometry constraint of the isometric sub-tensors, where the cost function assigns a cost to the orthogonal approximation of the expected matrix based on the quality of the orthogonal approximation with respect to the expected matrix; and encoding the orthogonal approximation into the quantum circuit based on encoding the isometric sub-tensors as quantum gates.

[0005] CN119442243A discloses a method for detecting the vulnerability-affected software library version based on the weighted method intermediate program dependence graph. The method for detecting the vulnerability-affected software library version includes: generating a vulnerability signature and a patch signature for each vulnerability and representing them as a weighted IPDG; generating a potential vulnerability signature and a potential patch signature of a candidate software library version and comparing the similarity with the original signatures to detect which software library versions are affected by the vulnerability. The vulnerability signature and the patch signature are generated by using the modified code lines in the patch, thereby overcoming the limitation of the prior art that the vulnerability signature cannot be generated without deleting code lines. In addition, the key methods are selected by the HITS algorithm, and the key variables and their dependencies are identified through taint analysis to determine the key statements, thereby further improving the detection accuracy. The present invention can effectively improve the accuracy and efficiency of vulnerability detection in the open-source software supply chain. Summary of the Invention

[0006] To solve the technical problems in the prior art, the present invention provides a desktop computer algorithm operating system, which can sequentially perform an affine transformation action, an image smoothing action using the neighborhood averaging method, and a histogram correction operation on the rear driving images captured by the rear photography device within the desktop computer algorithm operating system to obtain and output a third enhanced image with better image quality, identify the sub-image occupied by the nearest vehicle target in the third enhanced image as the effective sub-image, obtain the respective hue component values, respective brightness component values, and respective saturation component values corresponding to each pixel point of the effective sub-image in the YUV space, and select the search range of the reference coding block centered on the current coding block when performing intra-frame coding on the entire rear driving image based on the covariance value of the three-component values of the hue component value, brightness component value, and saturation component value of each pixel point of the effective sub-image. Among them, a numerical mapping function is used to represent the monotonically positive correlation numerical mapping relationship between the search range of the reference coding block centered on the current coding block when performing intra-frame coding on the selected entire rear driving image and the covariance value of the three-component values of the hue component value, brightness component value, and saturation component value of each pixel point of the effective sub-image, so as to dynamically select the search range of the reference coding block when performing intra-frame coding on the entire image according to the complexity of the distribution of each component value of the key target in the image, select different intra-frame coding mechanisms for different images with different key target complexities, and improve the flexibility and reliability of image processing.

[0007] The present invention needs to have at least the following four important inventive points: First: within the desktop computer algorithm operating system, sequentially perform an affine transformation action, an image smoothing action using the neighborhood averaging method, and a histogram correction operation on the rear driving images captured by the rear photography device to obtain and output a third enhanced image with better image quality; Second: Identify the sub - picture occupied by the nearest vehicle target in the third enhanced picture as the valid sub - picture, and obtain the respective hue component values, respective luminance component values, and respective saturation component values corresponding to each pixel point of the valid sub - picture in the YUV space; Third: Based on the covariance values of the three component values of the hue component value, luminance component value, and saturation component value of each pixel point of the valid sub - picture, select the search range of the reference coding block centered on the current coding block when performing intra - frame coding on the overall rear - end driving picture; Finally: Specifically, use a numerical mapping function to represent the monotonically positive - related numerical mapping relationship between the search range of the reference coding block centered on the current coding block when performing intra - frame coding on the overall selected rear - end driving picture and the covariance values of the three component values of the hue component value, luminance component value, and saturation component value of each pixel point of the valid sub - picture. Thus, dynamically select the search range of the reference coding block when performing intra - frame coding on the overall picture according to the complexity of the distribution of each component value of the key target in the picture, select different intra - frame coding mechanisms for different pictures with different key target complexities, and improve the flexibility and reliability of the intra - frame coding operation.

[0008] According to the present invention, a desktop computer algorithm operating system is provided, and the system includes: A video capture device, which is set in the desktop computer algorithm operating system and is used to wirelessly capture the rear - end driving picture taken by the rear - end photography device and store it in the desktop computer algorithm operating system. The rear - end camera device is set at the rear end of the running electric vehicle and shoots towards the rear end of the electric vehicle, and the desktop computer algorithm operating system is located in the vehicle management server at the far end of the electric vehicle; A first enhancement device, which is set in the desktop computer algorithm operating system and is connected to the video capture device, and is used to perform an affine transformation action on the received rear - end driving picture to obtain and output a first enhanced picture; A second enhancement device, which is set in the desktop computer algorithm operating system and is connected to the first enhancement device, and is used to perform an image smoothing action using the neighborhood averaging method on the received first enhanced picture to obtain and output a second enhanced picture; A third enhancement device, which is set in the desktop computer algorithm operating system and is connected to the second enhancement device, and is used to perform a histogram correction operation on the received second enhanced picture to obtain and output a third enhanced picture; The component identification mechanism is set in the desktop computer algorithm operating system and connected to the third enhancement device, and is used to identify the sub - picture occupied by the nearest vehicle target in the received third enhancement picture as the effective sub - picture, and obtain the respective hue component values, respective brightness component values, and respective saturation component values corresponding to each pixel point of the effective sub - picture in the YUV space; The numerical analysis mechanism is set in the desktop computer algorithm operating system and connected to the component identification mechanism, and is used to select the search range of the reference coding block centered on the current coding block when performing intra - frame coding on the entire rear - end driving picture based on the covariance value of the three component values of the hue component value, brightness component value, and saturation component value of each pixel point of the effective sub - picture; Among them, selecting the search range of the reference coding block centered on the current coding block when performing intra - frame coding on the entire rear - end driving picture based on the covariance value of the three component values of the hue component value, brightness component value, and saturation component value of each pixel point of the effective sub - picture includes: the larger the covariance value of the three component values of the hue component value, brightness component value, and saturation component value of each pixel point of the effective sub - picture, the wider the search range of the reference coding block centered on the current coding block selected when performing intra - frame coding on the entire rear - end driving picture; Among them, the larger the covariance value of the three component values of the hue component value, brightness component value, and saturation component value of each pixel point of the effective sub - picture, the wider the search range of the reference coding block centered on the current coding block selected when performing intra - frame coding on the entire rear - end driving picture includes: using a numerical mapping function to represent the monotonic positive - correlation numerical mapping relationship between the search range of the reference coding block centered on the current coding block selected when performing intra - frame coding on the entire rear - end driving picture and the covariance value of the three component values of the hue component value, brightness component value, and saturation component value of each pixel point of the effective sub - picture.

[0009] The desktop computer algorithm operating system of the present invention is logically reliable and runs stably. Since it can select the search range of the reference coding block centered on the current coding block when performing intra - frame coding on the entire rear - end driving picture based on the covariance value of multiple component values of the nearest vehicle in the rear - end driving picture captured by the rear - end photography device in the desktop computer algorithm operating system, the search range of the reference coding block for performing intra - frame coding on the entire picture can be dynamically selected according to the complexity of the distribution of each component value of the key target in the picture. Brief Description of the Drawings

[0010] Those skilled in the art can better understand the numerous advantages of the present invention by referring to the accompanying drawings, where:

[0011] Figure 1 is a schematic structural diagram of the desktop computer algorithm operating system according to the primary embodiment of the present invention.

[0012] Figure 2 It is a schematic structural diagram of a desktop computer algorithm operating system according to a secondary embodiment of the present invention.

[0013] Figure 3 It is a schematic structural diagram of a desktop computer algorithm operating system according to a further secondary embodiment of the present invention. Specific embodiments

[0014] In the prior art, a desktop computer can be used to perform image algorithm processing on a monitoring image obtained by a rear-end imaging device of a remote electric vehicle for photographing the rear end of the electric vehicle. It is hoped to customize the search range of a reference coding block centered on the current coding block when performing intra-frame coding on the overall rear-end driving image according to the imaging information of the electric vehicle in the monitoring image, so as to ensure that the corresponding image processing mechanism matches the imaging information of the electric vehicle. However, there is a lack of corresponding technical solutions in the prior art.

[0015] Figure 1 It is a schematic structural diagram of a desktop computer algorithm operating system according to a primary embodiment of the present invention. The system includes: A video capture device, which is arranged in the desktop computer algorithm operating system and is used for wirelessly capturing the rear-end driving image captured by the rear-end imaging device and storing it in the desktop computer algorithm operating system. The rear-end imaging device is arranged at the rear end of a running electric vehicle and faces the rear end of the electric vehicle for photographing. The desktop computer algorithm operating system is located in a vehicle management server at the remote end of the electric vehicle; A first enhancement device, which is arranged in the desktop computer algorithm operating system and is connected to the video capture device, and is used for performing an affine transformation operation on the received rear-end driving image to obtain and output a first enhanced image; Specifically, a programmable logic device can be selected to implement the first enhancement device. The first enhancement device is arranged in the desktop computer algorithm operating system and is connected to the video capture device, and is used for performing an affine transformation operation on the received rear-end driving image to obtain and output a first enhanced image; A second enhancement device, which is arranged in the desktop computer algorithm operating system and is connected to the first enhancement device, and is used for performing an image smoothing operation using the neighborhood averaging method on the received first enhanced image to obtain and output a second enhanced image; A third enhancement device, which is arranged in the desktop computer algorithm operating system and is connected to the second enhancement device, and is used for performing a histogram correction operation on the received second enhanced image to obtain and output a third enhanced image; A component identification mechanism is provided within the desktop computer algorithm operating system and is connected to the third enhancement device. It is used to identify the sub - picture occupied by the nearest vehicle target in the received third enhanced picture as the valid sub - picture, and obtain the respective hue component values, brightness component values, and saturation component values corresponding to each pixel point of the valid sub - picture in the YUV space. A numerical analysis mechanism is provided within the desktop computer algorithm operating system and is connected to the component identification mechanism. It is used to select the search range of the reference coding block centered on the current coding block when performing intra - frame coding on the entire rear - end driving picture based on the covariance value of the three component values of the hue component value, brightness component value, and saturation component value of each pixel point of the valid sub - picture. Among them, selecting the search range of the reference coding block centered on the current coding block when performing intra - frame coding on the entire rear - end driving picture based on the covariance value of the three component values of the hue component value, brightness component value, and saturation component value of each pixel point of the valid sub - picture includes: the larger the covariance value of the three component values of the hue component value, brightness component value, and saturation component value of each pixel point of the valid sub - picture, the wider the search range of the reference coding block centered on the current coding block selected when performing intra - frame coding on the entire rear - end driving picture. Among them, the larger the covariance value of the three component values of the hue component value, brightness component value, and saturation component value of each pixel point of the valid sub - picture, the wider the search range of the reference coding block centered on the current coding block includes: using a numerical mapping function to represent the monotonically positive - related numerical mapping relationship between the search range of the reference coding block centered on the current coding block selected when performing intra - frame coding on the entire rear - end driving picture and the covariance value of the three component values of the hue component value, brightness component value, and saturation component value of each pixel point of the valid sub - picture. Among them, obtaining the respective hue component values, brightness component value, and saturation component values corresponding to each pixel point of the valid sub - picture in the YUV space includes: the value of the single - hue component value, single - brightness component value, and single - saturation component value corresponding to each pixel point of the valid sub - picture in the YUV space is within the range of 0 - 255.

[0016] Figure 2 It is a schematic structural diagram of the desktop computer algorithm operating system according to the secondary embodiment of the present invention.

[0017] is different from Figure 1 The desktop computer algorithm operating system in Figure 2 may further include the following components: A real-time monitoring component, which is arranged near the first enhancement device, the second enhancement device, the third enhancement device and the video capture device and is respectively connected to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device; Among them, the real-time monitoring component, which is arranged near the first enhancement device, the second enhancement device, the third enhancement device and the video capture device and is respectively connected to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device, includes: the real-time monitoring component is used to provide real-time fault code monitoring services for the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively.

[0018] Figure 3 It is a schematic structural diagram of a desktop computer algorithm operating system according to a secondary embodiment of the present invention.

[0019] And Figure 1 different, Figure 3 the desktop computer algorithm operating system in An instant detection mechanism, which is arranged near the first enhancement device, the second enhancement device, the third enhancement device and the video capture device and is respectively connected to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device; Among them, the instant detection mechanism, which is arranged near the first enhancement device, the second enhancement device, the third enhancement device and the video capture device and is respectively connected to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device, includes: the instant service mechanism includes a plurality of dust detection units, which are used to provide the detection services of the surrounding dust concentration required by the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively.

[0020] Next, the specific structure of the desktop computer algorithm operating system of the present invention will be further described.

[0021] In the desktop computer algorithm operating system according to various embodiments of the present invention: The image quality enhancement mechanism is adopted to perform image data processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device and the video capture device to obtain the output processed data corresponding to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively; Among them, the image quality enhancement mechanism performs image data processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device respectively, including: performing notch filtering processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device respectively; Among them, the image quality enhancement mechanism performs image data processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device respectively, including: performing band-stop filtering processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device respectively; Among them, the image quality enhancement mechanism performs image data processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device respectively, including: performing cubic polynomial interpolation processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device respectively; And among them, the image quality enhancement mechanism performs image data processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device respectively, including: performing vertical sharpening on the output data of the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device, and the video capture device respectively.

[0022] In addition, in the desktop computer algorithm operating system, the numerical mapping relationship representing the monotonic positive correlation between the search range of the reference coding block centered on the current coding block when performing intra-coding on the overall selected rear-end driving picture and the covariance value of the three-component values of the hue component value, brightness component value, and saturation component value of each pixel point of the effective sub-picture in the numerical mapping function includes: in the numerical mapping function, the search range of the reference coding block centered on the current coding block when performing intra-coding on the overall selected rear-end driving picture is the output value, and the covariance value of the three-component values of the hue component value, brightness component value, and saturation component value of each pixel point of the effective sub-picture is the input value.

[0023] Since many apparently widely different embodiments of the present invention can be made without departing from the spirit and scope of the present invention, it should be understood that the present invention is not limited to its specific embodiments, but is defined by the claims.

Claims

1. A desktop computer algorithm operating system, characterized in that: The system comprises: A video capture device, arranged in a desktop computer algorithm operating system, for wirelessly capturing a rear-end driving picture taken by a rear-end camera device to store it in the desktop computer algorithm operating system, wherein the rear-end camera device is arranged at the rear end of the running electric vehicle and faces the rear end of the electric vehicle to take pictures, and the desktop computer algorithm operating system is located in a vehicle management server at the remote end of the electric vehicle; A first enhancement device, which is arranged in the desktop computer algorithm operating system and connected to the video capture device, is used to perform an affine transformation action on the received rear-end driving picture to obtain and output a first enhanced picture; A second enhancement device, which is arranged in the desktop computer algorithm operating system and connected to the first enhancement device, is used to perform an image smoothing operation using a neighborhood averaging method on the received first enhanced picture to obtain and output a second enhanced picture; a third enhancement device, which is arranged in the desktop computer algorithm operating system and connected to the second enhancement device, and is used to perform a histogram correction operation on the received second enhanced picture to obtain and output a third enhanced picture; A component identification mechanism, which is arranged in the desktop computer algorithm operating system and connected to the third enhancement device, is used to identify the sub-picture occupied by the nearest vehicle target in the received third enhancement picture as a valid sub-picture, and obtain the hue component values, brightness component values ​​and saturation component values ​​corresponding to each pixel point of the valid sub-picture in the YUV space; A numerical analysis mechanism is arranged in the desktop computer algorithm operating system and connected to the component identification mechanism, and is used to select a search range of a reference coding block centered on the current coding block when the rear-end driving picture as a whole performs intra-frame coding based on the covariance values ​​of the three-component values ​​of the hue component value, the brightness component value and the saturation component value of each pixel point of the effective sub-picture, including: the larger the covariance value of the three-component values ​​of the hue component value, the brightness component value and the saturation component value of each pixel point of the effective sub-picture, the wider the search range of the reference coding block centered on the current coding block when the selected rear-end driving picture as a whole performs intra-frame coding, and a numerical mapping function is used to represent the monotonically positively correlated numerical mapping relationship between the search range of the reference coding block centered on the current coding block when the selected rear-end driving picture as a whole performs intra-frame coding and the covariance values ​​of the three-component values ​​of the hue component value, the brightness component value and the saturation component value of each pixel point of the effective sub-picture.

2. The desktop computer algorithm operating system according to claim 1, characterized in that: Obtaining the hue component values, brightness component values ​​and saturation component values ​​corresponding to each pixel point of the effective sub-image in the YUV space includes: the values ​​of the corresponding single hue component value, single brightness component value and single saturation component value of each pixel point of the effective sub-image in the YUV space are all between 0-255.

3. The desktop computer algorithm operating system as claimed in claim 2, characterized in that: The system further comprises: A real-time monitoring component is arranged near the first enhancement device, the second enhancement device, the third enhancement device and the video capture device and is connected to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively; Among them, the real-time monitoring component is arranged near the first enhancement device, the second enhancement device, the third enhancement device and the video capture device and is respectively connected to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device, including: the real-time monitoring component is used to provide real-time fault code monitoring services for the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively.

4. The desktop computer algorithm operating system according to claim 2, characterized in that: The system further comprises: An instant detection mechanism is arranged near the first enhancement device, the second enhancement device, the third enhancement device and the video capture device and is connected to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively; Among them, the instant detection mechanism is arranged near the first enhancement device, the second enhancement device, the third enhancement device and the video capture device and is respectively connected to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device, including: the instant service mechanism includes multiple dust detection units, which are used to provide the first enhancement device, the second enhancement device, the third enhancement device and the video capture device with the required surrounding dust concentration detection services respectively.

5. The desktop computer algorithm operating system according to any one of claims 2 to 4, characterized in that: The image quality enhancement mechanism is used to perform image data processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device and the video capture device to obtain output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively.

6. The desktop computer algorithm operating system according to claim 5, characterized in that: Using an image quality enhancement mechanism to perform image data processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively includes: performing trap filtering processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively.

7. The desktop computer algorithm operating system according to claim 5, characterized in that: Using an image quality enhancement mechanism to perform image data processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device and the video capture device to obtain output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively includes: performing band-stop filtering processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device and the video capture device to obtain output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively.

8. The desktop computer algorithm operating system according to claim 5, characterized in that: Using an image quality enhancement mechanism to perform image data processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively includes: performing cubic polynomial interpolation processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device and the video capture device to obtain the output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively.

9. The desktop computer algorithm operating system according to claim 5, characterized in that: Using an image quality enhancement mechanism to perform image data processing on the output data of the first enhancement device, the second enhancement device, the third enhancement device and the video capture device to obtain output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively includes: performing vertical sharpening on the output data of the first enhancement device, the second enhancement device, the third enhancement device and the video capture device to obtain output processing data corresponding to the first enhancement device, the second enhancement device, the third enhancement device and the video capture device respectively.

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