A method and system for evaluating process parameters of intelligent chrome plating for luminous vehicle logos

Abstract

The present application provides a method and system for evaluating process parameters of intelligent chrome plating processing of luminous vehicle logos. When the accuracy determines that the luminous vehicle logo intelligent chrome plating information configuration example of the luminous vehicle logo intelligent chrome plating information analysis thread meets the triggering requirements of interference identification, the possibility of the luminous vehicle logo intelligent chrome plating information configuration example belonging to the interference example is determined through the interference identification thread, and the possibility is determined as the weight of the luminous vehicle logo intelligent chrome plating information configuration example for weighted processing. The luminous vehicle logo intelligent chrome plating information analysis thread is configured through the weighted luminous vehicle logo intelligent chrome plating information configuration example; the luminous vehicle logo intelligent chrome plating information analysis thread can be configured for the second stage based on the completion of the first stage of the luminous vehicle logo intelligent chrome plating information analysis thread, according to the possibility that the luminous vehicle logo intelligent chrome plating information configuration example belongs to the interference example, thereby improving the regression analysis accuracy of the configured luminous vehicle logo intelligent chrome plating information analysis thread.

Description

Technical Field

[0001] The present application relates to the field of parameter evaluation technology, and more specifically, to a method and system for evaluating process parameters of intelligent chrome plating of luminous vehicle logos. Background Art

[0002] With the continuous development and progress of science and technology, the intelligent chrome plating process of luminous car logos is a relatively promising project. The quality of the intelligent chrome plating of luminous car logos needs to be specifically guaranteed in order to attract customers to choose this product. Therefore, the process parameters need to be evaluated during the intelligent chrome plating of luminous car logos. However, how to evaluate is a technical problem that is difficult to solve at present. Summary of the invention

[0003] In order to improve the technical problems existing in the related technologies, the present application provides a method and system for evaluating process parameters of intelligent chrome plating of luminous vehicle logos.

[0004] In a first aspect, a method for evaluating process parameters of a luminous vehicle logo intelligent chrome plating process is provided, comprising:

[0005] Using the example of intelligent chrome-plated information analysis of luminous vehicle logos, the accuracy of the intelligent chrome-plated information analysis thread of the luminous vehicle logo that has completed the first-stage configuration is verified to determine the accuracy of the intelligent chrome-plated information analysis thread of the luminous vehicle logo;

[0006] When determining that the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirement of interference identification in combination with the accuracy, selecting a reference example of the target percentage in the luminous vehicle logo intelligent chrome-plating information configuration example;

[0007] Extracting a description vector from the reference example through a description vector extraction unit of the interference identification thread to obtain a corresponding example description vector;

[0008] Classify the example description vectors to obtain at least two types of benchmark description vectors;

[0009] Extracting description vectors of the luminous vehicle logo intelligent chrome plating information configuration example to obtain description vectors of all luminous vehicle logo intelligent chrome plating information configuration examples;

[0010] Determine the difference between the description vector of the full-quantity luminous vehicle logo intelligent chrome plating information configuration example and each of the reference description vectors; and determine the target reference description vector corresponding to the maximum difference from the reference description vectors of at least two types;

[0011] Combine the description vector of the full-quantity luminous vehicle logo intelligent chrome-plating information configuration example and the target reference description vector, perform interference identification through the interference identification unit of the interference identification thread, and obtain the possibility that the luminous vehicle logo intelligent chrome-plating information configuration example belongs to the interference example; determine the weight of the luminous vehicle logo intelligent chrome-plating information configuration example with the possibility, perform weighted processing on the luminous vehicle logo intelligent chrome-plating information configuration example, and obtain the weighted luminous vehicle logo intelligent chrome-plating information configuration example;

[0012] The weighted luminous vehicle logo intelligent chrome plating information configuration example is used to configure the luminous vehicle logo intelligent chrome plating information analysis thread until the second stage of configuration is completed to achieve process parameter evaluation that meets the set requirements.

[0013] In the present application, the method further comprises:

[0014] Comparing the accuracy of the luminous vehicle logo intelligent chrome plating information analysis thread with a specified accuracy value to obtain a comparison result;

[0015] When the comparison result indicates that the accuracy is lower than the specified accuracy value, it is determined that the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirements of interference identification.

[0016] In the present application, the method further comprises:

[0017] During the configuration of the first stage, a first accuracy corresponding to the luminous vehicle logo intelligent chrome plating information analysis thread that completes the current configuration and a second accuracy corresponding to the luminous vehicle logo intelligent chrome plating information analysis thread that completes the previous configuration are obtained;

[0018] When the difference between the first precision and the second precision is lower than a specified difference value, it is determined that the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirement of interference identification.

[0019] In the present application, the description vector of the full-quantity luminous vehicle logo intelligent chrome-plated information configuration example and the target benchmark description vector are combined, and interference identification is performed through the interference identification unit of the interference identification thread to obtain the possibility that the luminous vehicle logo intelligent chrome-plated information configuration example belongs to the interference example, including: combining the description vector of the full-quantity luminous vehicle logo intelligent chrome-plated information configuration example and the target benchmark description vector, and using the following formula to determine the possibility that the luminous vehicle logo intelligent chrome-plated information configuration example belongs to the interference example: wherein x is the description vector of the full-quantity luminous vehicle logo intelligent chrome-plated information configuration example, y is the target benchmark description vector, mn is the weight of the target benchmark description vector, and P is the possibility that the luminous vehicle logo intelligent chrome-plated information configuration example belongs to the interference example.

[0020] In the present application, the configuration of the luminous vehicle logo intelligent chrome plating information analysis thread using the weighted luminous vehicle logo intelligent chrome plating information configuration example includes:

[0021] Through the luminous vehicle logo intelligent chrome plating information analysis thread, the weighted luminous vehicle logo intelligent chrome plating information configuration example is subjected to classification regression analysis to obtain corresponding regression analysis results; the difference between the regression analysis results and the classification catalog of the weighted luminous vehicle logo intelligent chrome plating information configuration example is obtained;

[0022] Based on the obtained difference and the weight of the weighted luminous vehicle logo intelligent chrome plating information configuration example, determine the value of the cost index strategy of the luminous vehicle logo intelligent chrome plating information analysis thread; and update the thread parameters of the luminous vehicle logo intelligent chrome plating information analysis thread in combination with the value of the cost index strategy.

[0023] In the present application, the example of using the intelligent chrome plating information analysis of the luminous car logo is used to perform an accuracy test on the luminous car logo intelligent chrome plating information analysis thread that has completed the first stage configuration to determine the accuracy of the luminous car logo intelligent chrome plating information analysis thread, including:

[0024] By completing the luminous vehicle logo intelligent chrome plating information analysis thread configured in the first stage, a classification regression analysis is performed on the luminous vehicle logo intelligent chrome plating information analysis example to obtain a corresponding classification result;

[0025] Combined with the classification catalog of the luminous vehicle logo intelligent chrome plating information analysis example, determine the accuracy of the corresponding classification results;

[0026] Combined with the accuracy of the classification results corresponding to the luminous vehicle logo intelligent chrome plating information analysis example, the accuracy of the luminous vehicle logo intelligent chrome plating information analysis thread is determined.

[0027] In a second aspect, a system for evaluating process parameters of intelligent chrome plating of luminous vehicle logos is provided, comprising a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above method.

[0028] A method and system for evaluating process parameters of intelligent chrome-plating processing of luminous vehicle logos provided in an embodiment of the present application, performs accuracy inspection on an luminous vehicle logo intelligent chrome-plating information analysis thread that has completed the first-stage configuration through an example of intelligent chrome-plating information analysis of luminous vehicle logos; when the accuracy determines that the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirements of interference identification, the possibility of the luminous vehicle logo intelligent chrome-plating information configuration example belonging to the interference example is determined through the interference identification thread, and the possibility is determined as the weight of the luminous vehicle logo intelligent chrome-plating information configuration example for weighted processing, thereby configuring the luminous vehicle logo intelligent chrome-plating information analysis thread through the weighted luminous vehicle logo intelligent chrome-plating information configuration example; in this way, on the basis of the luminous vehicle logo intelligent chrome-plating information analysis thread completing the first stage, the luminous vehicle logo intelligent chrome-plating information analysis thread can be configured for the second stage according to the possibility that the luminous vehicle logo intelligent chrome-plating information configuration example belongs to the interference example, thereby improving the regression analysis accuracy of the configured luminous vehicle logo intelligent chrome-plating information analysis thread. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0030] Figure 1 A flow chart of a method for evaluating process parameters of an intelligent chrome plating treatment for a luminous vehicle logo provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] In order to better understand the above technical scheme, the technical scheme of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical scheme of the present application, rather than limitations on the technical scheme of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0032] See also Figure 1 , shows a method for evaluating process parameters of luminous vehicle logo intelligent chrome plating, which may include the technical solutions described in the following steps 401 to 408.

[0033] Step 401: Using the example of intelligent chrome-plated information analysis of luminous vehicle logos, the accuracy of the intelligent chrome-plated information analysis thread of luminous vehicle logos that has completed the first stage configuration is verified to determine the accuracy of the intelligent chrome-plated information analysis thread of luminous vehicle logos.

[0034] Here, in actual application, firstly, a light-emitting car logo intelligent chrome-plated information analysis thread is built, such as a convolutional neural network thread, etc., and then the thread parameters of the light-emitting car logo intelligent chrome-plated information analysis thread are set to the state of needing learning and self-training, and then a large number of light-emitting car logo intelligent chrome-plated information configuration examples are used to configure the light-emitting car logo intelligent chrome-plated information analysis thread in the first stage. Specifically, for the first stage configuration, a corresponding number of configurations can be set, and the light-emitting car logo intelligent chrome-plated information analysis thread can be configured according to the number of configurations. For example, if the number of configurations is set to 50, then the light-emitting car logo intelligent chrome-plated information analysis thread is configured 50 times through the light-emitting car logo intelligent chrome-plated information configuration example. When the number of configurations reaches 50, it indicates that the first stage configuration of the light-emitting car logo intelligent chrome-plated information analysis thread has been completed.

[0035] The luminous vehicle logo intelligent chrome plating information analysis thread here can be multiple types of luminous vehicle logo intelligent chrome plating information analysis threads, that is, the luminous vehicle logo intelligent chrome plating information analysis thread can perform multiple types of classification regression analysis on a piece of luminous vehicle logo intelligent chrome plating information.

[0036] In order to obtain a luminous car logo intelligent chrome-plated information analysis thread with higher classification and regression analysis accuracy, after completing the first stage of configuration, the luminous car logo intelligent chrome-plated information analysis example is used to perform accuracy verification on the luminous car logo intelligent chrome-plated information analysis thread that has completed the first stage of configuration to determine the accuracy of the luminous car logo intelligent chrome-plated information analysis thread. This makes it easier to determine whether it is necessary to continue configuration to improve the classification and regression analysis accuracy of the luminous car logo intelligent chrome-plated information analysis thread.

[0037] In one possible implementation, the accuracy of the luminous vehicle logo intelligent chrome-plating information analysis thread can be determined in the following manner: by completing the luminous vehicle logo intelligent chrome-plating information analysis thread configured in the first stage, classification regression analysis is performed on the luminous vehicle logo intelligent chrome-plating information analysis examples to obtain corresponding classification results; based on the classification catalog of the luminous vehicle logo intelligent chrome-plating information analysis examples, the accuracy of the corresponding classification results is determined; based on the accuracy of the classification results corresponding to the luminous vehicle logo intelligent chrome-plating information analysis examples, the accuracy of the luminous vehicle logo intelligent chrome-plating information analysis thread is determined.

[0038] In practical applications, first, multiple examples of intelligent chrome-plated information analysis of luminous car logos corresponding to the intelligent chrome-plated information analysis thread of luminous car logos are obtained. Here, the examples of intelligent chrome-plated information analysis of luminous car logos are marked with corresponding classification directories. Secondly, the multiple examples of intelligent chrome-plated information analysis of luminous car logos are respectively input into the intelligent chrome-plated information analysis thread of luminous car logos that has completed the first-stage configuration. The intelligent chrome-plated information analysis thread of luminous car logos performs classification regression analysis on the corresponding examples of intelligent chrome-plated information analysis of luminous car logos to obtain corresponding classification results. Then, according to the classification directory of each intelligent chrome-plated information analysis example of luminous car logos and the corresponding classification results, the accuracy of the corresponding classification results is determined. Finally, according to the accuracy of the classification results corresponding to each intelligent chrome-plated information analysis example of luminous car logos, the accuracy of the intelligent chrome-plated information analysis thread of luminous car logos is determined.

[0039] Step 402: When it is determined in combination with the accuracy that the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirements of interference identification, a reference example of the target percentage is selected from the luminous vehicle logo intelligent chrome-plating information configuration example.

[0040] Step 403: extracting a description vector from the reference example through the description vector extraction unit of the interference identification thread to obtain a corresponding example description vector.

[0041] Exemplarily, a description vector can be understood as a feature.

[0042] Step 404: Classify the example description vectors to obtain no less than two types of benchmark description vectors.

[0043] Step 405: extracting description vectors of the luminous vehicle logo intelligent chrome plating information configuration example to obtain description vectors of all luminous vehicle logo intelligent chrome plating information configuration examples.

[0044] Step 406: respectively determine the difference between the description vector of the full-luminous vehicle logo intelligent chrome-plated information configuration example and each of the benchmark description vectors; and, from the benchmark description vectors of at least two types, determine the target benchmark description vector corresponding to the maximum difference.

[0045] Step 407: In combination with the description vector of the full-quantity luminous vehicle logo intelligent chrome-plating information configuration example and the target benchmark description vector, interference identification is performed through the interference identification unit of the interference identification thread to obtain the possibility that the luminous vehicle logo intelligent chrome-plating information configuration example belongs to the interference example; the possibility is determined as the weight of the luminous vehicle logo intelligent chrome-plating information configuration example, and the luminous vehicle logo intelligent chrome-plating information configuration example is weighted to obtain the weighted luminous vehicle logo intelligent chrome-plating information configuration example.

[0046] Step 408: Use the weighted luminous vehicle logo intelligent chrome plating information configuration example to configure the luminous vehicle logo intelligent chrome plating information analysis thread until the second stage of configuration is completed to achieve process parameter evaluation that meets the set requirements.

[0047] After determining the accuracy of the luminous vehicle logo intelligent chrome-plated information analysis thread that has completed the first stage of configuration, determine whether the luminous vehicle logo intelligent chrome-plated information configuration example of the luminous vehicle logo intelligent chrome-plated information analysis thread meets the triggering requirements for interference identification based on the accuracy, that is, determine whether the luminous vehicle logo intelligent chrome-plated information configuration example used to configure the luminous vehicle logo intelligent chrome-plated information analysis thread requires interference identification, thereby further determining whether the luminous vehicle logo intelligent chrome-plated information configuration example of the luminous vehicle logo intelligent chrome-plated information analysis thread is an interference example, or whether interference exists.

[0048] In one possible implementation, whether the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirements of interference identification can be determined in the following manner: the accuracy of the luminous vehicle logo intelligent chrome-plating information analysis thread is compared with the specified accuracy value to obtain a comparison result; when the comparison result indicates that the accuracy is lower than the specified accuracy value, it is determined that the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirements of interference identification.

[0049] Here, the precision designation value may be set in advance. After the precision of the luminous vehicle logo intelligent chrome-plated information analysis thread that has completed the first-stage configuration is determined, the precision of the luminous vehicle logo intelligent chrome-plated information analysis thread is compared with the preset precision designation value to obtain a comparison result; when the comparison result indicates that the precision is lower than the precision designation value, that is, the precision of the luminous vehicle logo intelligent chrome-plated information analysis thread that has completed the first-stage configuration does not meet the predetermined standard, then it is determined that the luminous vehicle logo intelligent chrome-plated information configuration example of the luminous vehicle logo intelligent chrome-plated information analysis thread meets the triggering requirements of interference identification, and interference identification needs to be performed.

[0050] In a possible implementation, it is also possible to determine whether the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirements of interference identification in the following manner: during the first stage of configuration, obtain the first accuracy corresponding to the luminous vehicle logo intelligent chrome-plating information analysis thread that completes the current configuration and the second accuracy corresponding to the luminous vehicle logo intelligent chrome-plating information analysis thread that completes the previous configuration; when the difference between the first accuracy and the second accuracy is lower than the specified value of the difference, determine that the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirements of interference identification.

[0051] In actual applications, since the number of learning times for the first-stage configuration is set in advance, it is also possible that during the first-stage configuration of the luminous vehicle logo intelligent chrome-plated information analysis thread, when the target number of configurations is completed (for example, if the number of learning times is 50, then the target number of configurations can be the 40th or 50th time), the first accuracy corresponding to the luminous vehicle logo intelligent chrome-plated information analysis thread that completes this configuration and the second accuracy corresponding to the luminous vehicle logo intelligent chrome-plated information analysis thread that completes the previous configuration are obtained. By comparing the difference between the first accuracy and the second accuracy with the difference specified value set in advance, it is determined whether the luminous vehicle logo intelligent chrome-plated information configuration example of the luminous vehicle logo intelligent chrome-plated information analysis thread meets the requirements of interference identification. Here, the difference is used to characterize the degree of optimization of the luminous vehicle logo intelligent chrome-plated information analysis thread obtained by this configuration compared to the luminous vehicle logo intelligent chrome-plated information analysis thread obtained by the previous configuration. When the difference between the first accuracy and the second accuracy is lower than the specified difference value, that is, the optimization degree does not reach the preset optimization degree standard, it is determined that the luminous vehicle logo intelligent chrome plating information configuration example of the luminous vehicle logo intelligent chrome plating information analysis thread meets the triggering requirements of interference identification.

[0052] Alternatively, during the first phase configuration of the luminous vehicle logo intelligent chrome-plated information analysis thread, when each configuration of the luminous vehicle logo intelligent chrome-plated information analysis thread is completed, the first accuracy corresponding to the luminous vehicle logo intelligent chrome-plated information analysis thread that completes the current configuration and the second accuracy corresponding to the luminous vehicle logo intelligent chrome-plated information analysis thread that completes the previous configuration are obtained. When it is determined that the optimization degree of the luminous vehicle logo intelligent chrome-plated information analysis thread obtained by the previous configurations is poor and does not reach the preset optimization degree specified value, that is, in the previous configurations, the difference between the first accuracy and the second accuracy is lower than the difference specified value, then it is determined that the luminous vehicle logo intelligent chrome-plated information configuration example of the luminous vehicle logo intelligent chrome-plated information analysis thread meets the triggering requirements of interference identification.

[0053] When it is determined that the luminous vehicle logo intelligent chrome-plated information configuration example of the luminous vehicle logo intelligent chrome-plated information analysis thread meets the triggering requirements of interference identification, it is characterized that the luminous vehicle logo intelligent chrome-plated information configuration example may have interference, so that the accuracy of the luminous vehicle logo intelligent chrome-plated information analysis thread obtained after multiple configurations is still insufficient. Therefore, in a possible implementation, the luminous vehicle logo intelligent chrome-plated information configuration example of the luminous vehicle logo intelligent chrome-plated information analysis thread can be interference identified in the following manner: through the description vector extraction unit of the interference identification thread, the description vector of the luminous vehicle logo intelligent chrome-plated information configuration example is extracted to obtain the description vector of the luminous vehicle logo intelligent chrome-plated information configuration example; obtain at least two types of benchmark description vectors corresponding to the luminous vehicle logo intelligent chrome-plated information configuration example; based on the description vector of the luminous vehicle logo intelligent chrome-plated information configuration example and at least two types of benchmark description vectors, interference identification is performed through the interference identification unit of the interference identification thread to obtain the possibility that the luminous vehicle logo intelligent chrome-plated information configuration example belongs to the interference example.

[0054] The interference identification thread includes a description vector extraction unit and an interference identification unit. Therefore, when interference identification is performed on the luminous vehicle logo intelligent chrome-plated information configuration example of the luminous vehicle logo intelligent chrome-plated information analysis thread, the description vector extraction unit of the constructed interference identification thread is used to extract the description vector of the input luminous vehicle logo intelligent chrome-plated information configuration example, thereby obtaining the description vector of the luminous vehicle logo intelligent chrome-plated information configuration example; at the same time, at least two types of benchmark description vectors corresponding to the luminous vehicle logo intelligent chrome-plated information configuration example are obtained; through the interference identification unit of the interference identification thread, the description vector of the luminous vehicle logo intelligent chrome-plated information configuration example and the corresponding at least two types of benchmark description vectors are used to perform interference identification, thereby obtaining the possibility that the luminous vehicle logo intelligent chrome-plated information configuration example belongs to the interference example.

[0055] In a possible implementation, the benchmark description vector corresponding to the luminous vehicle logo intelligent chrome-plating information configuration example can be obtained in the following manner: from multiple luminous vehicle logo intelligent chrome-plating information configuration examples of the luminous vehicle logo intelligent chrome-plating information analysis thread, based on at least two categories corresponding to the luminous vehicle logo intelligent chrome-plating information configuration examples, a target percentage of luminous vehicle logo intelligent chrome-plating information configuration examples are screened; through the description vector extraction unit of the interference recognition thread, description vectors are extracted for the screened luminous vehicle logo intelligent chrome-plating information configuration examples respectively to obtain corresponding example description vectors; the obtained example description vectors are classified to obtain example description vectors corresponding to various categories; from the example description vectors corresponding to various categories, a target number of benchmark description vectors are screened to obtain benchmark description vectors of at least two categories.

[0056] In practical applications, firstly, from all the luminous vehicle logo intelligent chrome-plating information configuration examples, luminous vehicle logo intelligent chrome-plating information configuration examples with a target percentage are screened and determined as reference examples.

[0057] Then, the description vector extraction unit of the interference recognition thread extracts the description vector of the screened luminous car logo intelligent chrome information configuration example to obtain the corresponding example description vector. The obtained example description vector is classified to obtain no less than two types of benchmark description vectors. Specifically, the obtained example description vector is classified to obtain example description vectors corresponding to various categories; from the example description vectors corresponding to various categories, the target number of benchmark description vectors is screened, for example, the K sub-benchmarks with the most concentrated examples after the example description vector classification can be screened and determined as the target number of benchmark description vectors.

[0058] Specifically, the interference identification flow chart of the example of the configuration of the luminous vehicle logo intelligent chrome-plating information provided by the embodiment of the present invention is specifically as follows.

[0059] Step 601: Selecting a reference example of a target percentage from all examples of luminous vehicle logo intelligent chrome plating information configuration;

[0060] Step 602: extracting description vectors from reference examples to obtain example description vectors;

[0061] Step 603: classify the example description vectors and select and obtain reference description vectors;

[0062] Step 604: extracting description vectors of all luminous vehicle logo intelligent chrome plating information configuration examples to obtain description vectors of all luminous vehicle logo intelligent chrome plating information configuration examples;

[0063] Step 605: Interference identification is performed based on the baseline description vector and the description vector of the full-quantity luminous vehicle logo intelligent chrome-plated information configuration example to obtain the possibility that the luminous vehicle logo intelligent chrome-plated information configuration example belongs to the interference example, so as to determine the weight of the luminous vehicle logo intelligent chrome-plated information configuration example.

[0064] In a possible implementation, the possibility that the example of the intelligent chrome-plating information configuration of the luminous vehicle logo belongs to the interference example can also be determined in the following manner: respectively determine the difference between the description vector of the example of the intelligent chrome-plating information configuration of the luminous vehicle logo and each benchmark description vector; and, from no less than two types of benchmark description vectors, determine the target benchmark description vector corresponding to the maximum difference; based on the description vector of the example of the intelligent chrome-plating information configuration of the luminous vehicle logo and the target benchmark description vector, determine the possibility that the example of the intelligent chrome-plating information configuration of the luminous vehicle logo belongs to the interference example.

[0065] In practical applications, the differences between the description vector of the example of the intelligent chrome-plated information configuration of the luminous vehicle logo and each benchmark description vector of at least two types of benchmark description vectors can be calculated respectively, so as to find the benchmark description vector corresponding to the maximum difference among each benchmark description vector, and determine the benchmark description vector corresponding to the maximum difference as the target benchmark description vector; and then based on the description vector of the example of the intelligent chrome-plated information configuration of the luminous vehicle logo and the target benchmark description vector, determine the possibility that the example of the intelligent chrome-plated information configuration of the luminous vehicle logo belongs to the interference example.

[0066] In a possible implementation, based on the description vector of the example of the intelligent chrome-plated information configuration of the luminous vehicle logo and the target benchmark description vector, the following formula can be used to determine the possibility that the example of the intelligent chrome-plated information configuration of the luminous vehicle logo belongs to the interference example: wherein x is the description vector of the example of the intelligent chrome-plated information configuration of the luminous vehicle logo, y is the target benchmark description vector, mn is the weight of the target benchmark description vector, which can be predefined based on experience, or can be set to a value that is a percentage of the difference based on the calculated difference, etc., and P is the possibility that the example of the intelligent chrome-plated information configuration of the luminous vehicle logo belongs to the interference example.

[0067] Step 403: Determine the weight of the luminous vehicle logo intelligent chrome-plating information configuration example based on the probability, perform weighted processing on the luminous vehicle logo intelligent chrome-plating information configuration example, and obtain the weighted luminous vehicle logo intelligent chrome-plating information configuration example.

[0068] Step 404: Use the weighted luminous vehicle logo intelligent chrome plating information configuration example to configure the luminous vehicle logo intelligent chrome plating information analysis thread until the second stage of configuration is completed to achieve process parameter evaluation that meets the set requirements.

[0069] After obtaining the weighted luminous vehicle logo intelligent chrome plating information configuration example, the luminous vehicle logo intelligent chrome plating information analysis thread is configured through the weighted luminous vehicle logo intelligent chrome plating information configuration example until the second stage of configuration is completed to achieve process parameter evaluation in accordance with the set requirements.

[0070] In one possible implementation embodiment, the luminous vehicle logo intelligent chrome-plating information analysis thread can be configured in the following manner: through the luminous vehicle logo intelligent chrome-plating information analysis thread, a classification regression analysis is performed on the weighted luminous vehicle logo intelligent chrome-plating information configuration example to obtain a corresponding regression analysis result; the difference between the regression analysis result and the classification directory of the weighted luminous vehicle logo intelligent chrome-plating information configuration example is obtained; based on the obtained difference and the weight of the weighted luminous vehicle logo intelligent chrome-plating information configuration example, the value of the cost index strategy of the luminous vehicle logo intelligent chrome-plating information analysis thread is determined; based on the value of the cost index strategy, the thread parameters of the luminous vehicle logo intelligent chrome-plating information analysis thread are updated.

[0071] In the actual configuration process of the luminous vehicle logo intelligent chrome-plated information analysis thread, the luminous vehicle logo intelligent chrome-plated information analysis thread performs classification regression analysis on the weighted luminous vehicle logo intelligent chrome-plated information configuration example to obtain the corresponding regression analysis result; obtain the difference between the regression analysis result and the classification directory marked by the weighted luminous vehicle logo intelligent chrome-plated information configuration example; and then determine the value of the cost index strategy of the luminous vehicle logo intelligent chrome-plated information analysis thread based on the obtained difference and the weight of the weighted luminous vehicle logo intelligent chrome-plated information configuration example. Here, the value Lm of the cost index strategy corresponding to the configuration of the luminous vehicle logo intelligent chrome-plated information analysis thread through the weighted luminous vehicle logo intelligent chrome-plated information configuration example is the same as the value L of the cost index strategy corresponding to the configuration of the luminous vehicle logo intelligent chrome-plated information analysis thread through the unweighted luminous vehicle logo intelligent chrome-plated information configuration example.

[0072] After calculating the value of the cost index strategy of the luminous vehicle logo intelligent chrome-plating information analysis thread, when it is determined that the value of the cost index strategy exceeds the set loss specified value, the error signal of the luminous vehicle logo intelligent chrome-plating information analysis thread is determined based on the value of the cost index strategy; the error signal is back-propagated in the luminous vehicle logo intelligent chrome-plating information analysis thread, so that in the process of back-propagation of the error signal, the thread parameters of each unit in the luminous vehicle logo intelligent chrome-plating information analysis thread are updated.

[0073] Here, the configuration of the second stage is to configure the luminous car logo intelligent chrome plating information analysis thread based on the weighted luminous car logo intelligent chrome plating information configuration example. The luminous car logo intelligent chrome plating processing parameter evaluation method provided by the embodiment of the present invention includes the following steps.

[0074] Step 701: Perform the first phase configuration using the full-luminous vehicle logo intelligent chrome plating information configuration example;

[0075] Step 702: performing accuracy verification on the luminous vehicle logo intelligent chrome plating information analysis thread that has completed the first stage configuration, and obtaining the accuracy of the luminous vehicle logo intelligent chrome plating information analysis thread;

[0076] Step 703: judging whether the configuration example of the luminous vehicle logo intelligent chrome plating information meets the triggering requirement of interference identification based on the accuracy, if so, executing step 704, if not, returning to step 701;

[0077] Step 704: performing interference identification on the luminous vehicle logo intelligent chrome-plating information configuration example through the interference identification thread, obtaining the possibility that the luminous vehicle logo intelligent chrome-plating information configuration example belongs to the interference example, and determining the weight of the luminous vehicle logo intelligent chrome-plating information configuration example based on the possibility;

[0078] Step 705: weighting the luminous vehicle logo intelligent chrome plating information configuration example by using the weight of the luminous vehicle logo intelligent chrome plating information configuration example;

[0079] Step 706: configuring the luminous vehicle logo intelligent chrome plating information analysis thread through the weighted luminous vehicle logo intelligent chrome plating information configuration example;

[0080] Step 707: Determine whether the second phase configuration of the luminous vehicle logo intelligent chrome plating information analysis thread is completed, if it is completed, execute step 708, if it is not completed, return to step 703;

[0081] In actual applications, a specified value for the number of learning times configured in the second stage can be set. When the number of learning times configured in the second stage reaches the specified value, the learning is terminated; if it is not reached, the interference recognition operation is returned to continue the second stage configuration of the luminous car logo intelligent chrome information analysis thread until it is completed.

[0082] Step 708: Output the luminous vehicle logo intelligent chrome information analysis thread that completes the second stage configuration.

[0083] By applying the above-mentioned embodiment of the present invention, the luminous vehicle logo intelligent chrome-plating information analysis thread that has completed the first-stage configuration is accuracy-checked through the luminous vehicle logo intelligent chrome-plating information analysis example. When the accuracy determines that the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirement of interference identification, the possibility of the luminous vehicle logo intelligent chrome-plating information configuration example belonging to the interference example is determined through the interference identification thread, and the possibility is determined as the weight of the luminous vehicle logo intelligent chrome-plating information configuration example for weighted processing, so that the luminous vehicle logo intelligent chrome-plating information analysis thread is configured through the weighted luminous vehicle logo intelligent chrome-plating information configuration example; in this way, on the basis of the luminous vehicle logo intelligent chrome-plating information analysis thread completing the first stage, the luminous vehicle logo intelligent chrome-plating information analysis thread can be configured for the second stage according to the possibility that the luminous vehicle logo intelligent chrome-plating information configuration example belongs to the interference example, thereby improving the regression analysis accuracy of the configured luminous vehicle logo intelligent chrome-plating information analysis thread.

[0084] On the basis of the above, a system for evaluating process parameters of intelligent chrome plating of luminous vehicle logos is shown, comprising a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above method.

[0085] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method when running.

[0086] In summary, based on the above scheme, the luminous vehicle logo intelligent chrome-plated information analysis example is used to perform an accuracy test on the luminous vehicle logo intelligent chrome-plated information analysis thread that has completed the first-stage configuration. When the accuracy determines that the luminous vehicle logo intelligent chrome-plated information configuration example of the luminous vehicle logo intelligent chrome-plated information analysis thread meets the triggering requirements of interference identification, the interference identification thread is used to determine the possibility that the luminous vehicle logo intelligent chrome-plated information configuration example belongs to the interference example, and the possibility is determined as the weight of the luminous vehicle logo intelligent chrome-plated information configuration example for weighted processing, so that the luminous vehicle logo intelligent chrome-plated information analysis thread is configured through the weighted luminous vehicle logo intelligent chrome-plated information configuration example; in this way, on the basis of the luminous vehicle logo intelligent chrome-plated information analysis thread completing the first stage, the luminous vehicle logo intelligent chrome-plated information analysis thread can be configured for the second stage according to the possibility that the luminous vehicle logo intelligent chrome-plated information configuration example belongs to the interference example, thereby improving the regression analysis accuracy of the configured luminous vehicle logo intelligent chrome-plated information analysis thread.

[0087] It should be understood that the system and its modules shown above can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or a dedicated design hardware. Those skilled in the art will understand that the above methods and systems can be implemented using computer executable instructions and / or included in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application can not only be implemented by hardware circuits such as ultra-large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but can also be implemented by software such as executed by various types of processors, and can also be implemented by a combination of the above hardware circuits and software (e.g., firmware).

[0088] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or any other beneficial effects that may be obtained.

Claims

1. A method for evaluating process parameters of luminous vehicle logo intelligent chrome plating, characterized in that: The method comprises: Using the example of intelligent chrome-plated information analysis of luminous vehicle logos, the accuracy of the intelligent chrome-plated information analysis thread of the luminous vehicle logo that has completed the first-stage configuration is verified to determine the accuracy of the intelligent chrome-plated information analysis thread of the luminous vehicle logo; When determining that the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirement of interference identification in combination with the accuracy, selecting a reference example of the target percentage in the luminous vehicle logo intelligent chrome-plating information configuration example; Extracting a description vector from the reference example through a description vector extraction unit of the interference identification thread to obtain a corresponding example description vector; Classify the example description vectors to obtain at least two types of benchmark description vectors; Extracting description vectors of the luminous vehicle logo intelligent chrome plating information configuration example to obtain description vectors of all luminous vehicle logo intelligent chrome plating information configuration examples; Determine the difference between the description vector of the full-quantity luminous vehicle logo intelligent chrome plating information configuration example and each of the reference description vectors; and determine the target reference description vector corresponding to the maximum difference from the reference description vectors of at least two types; Combine the description vector of the full-quantity luminous vehicle logo intelligent chrome-plating information configuration example and the target reference description vector, perform interference identification through the interference identification unit of the interference identification thread, and obtain the possibility that the luminous vehicle logo intelligent chrome-plating information configuration example belongs to the interference example; determine the weight of the luminous vehicle logo intelligent chrome-plating information configuration example with the possibility, perform weighted processing on the luminous vehicle logo intelligent chrome-plating information configuration example, and obtain the weighted luminous vehicle logo intelligent chrome-plating information configuration example; The weighted luminous vehicle logo intelligent chrome plating information configuration example is used to configure the luminous vehicle logo intelligent chrome plating information analysis thread until the second stage of configuration is completed to achieve process parameter evaluation that meets the set requirements.

2. The method according to claim 1, characterized in that The method further comprises: Comparing the accuracy of the luminous vehicle logo intelligent chrome plating information analysis thread with a specified accuracy value to obtain a comparison result; When the comparison result indicates that the accuracy is lower than the specified accuracy value, it is determined that the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirements of interference identification.

3. The method according to claim 1, characterized in that The method further comprises: During the configuration of the first stage, a first accuracy corresponding to the luminous vehicle logo intelligent chrome plating information analysis thread that completes the current configuration and a second accuracy corresponding to the luminous vehicle logo intelligent chrome plating information analysis thread that completes the previous configuration are obtained; When the difference between the first precision and the second precision is lower than a specified difference value, it is determined that the luminous vehicle logo intelligent chrome-plating information configuration example of the luminous vehicle logo intelligent chrome-plating information analysis thread meets the triggering requirement of interference identification.

4. The method according to claim 1, characterized in that The method of configuring the luminous vehicle logo intelligent chrome plating information analysis thread by using the weighted luminous vehicle logo intelligent chrome plating information configuration example includes: Through the luminous vehicle logo intelligent chrome plating information analysis thread, the weighted luminous vehicle logo intelligent chrome plating information configuration example is subjected to classification regression analysis to obtain corresponding regression analysis results; the difference between the regression analysis results and the classification catalog of the weighted luminous vehicle logo intelligent chrome plating information configuration example is obtained; Based on the obtained difference and the weight of the weighted luminous vehicle logo intelligent chrome plating information configuration example, determine the value of the cost index strategy of the luminous vehicle logo intelligent chrome plating information analysis thread; combined with the value of the cost index strategy, update the thread parameters of the luminous vehicle logo intelligent chrome plating information analysis thread.

5. The method according to claim 1, characterized in that The example of using the luminous vehicle logo intelligent chrome plating information analysis to perform an accuracy test on the luminous vehicle logo intelligent chrome plating information analysis thread that has completed the first stage configuration to determine the accuracy of the luminous vehicle logo intelligent chrome plating information analysis thread includes: By completing the luminous vehicle logo intelligent chrome plating information analysis thread configured in the first stage, a classification regression analysis is performed on the luminous vehicle logo intelligent chrome plating information analysis example to obtain a corresponding classification result; Combined with the classification catalog of the luminous vehicle logo intelligent chrome plating information analysis example, determine the accuracy of the corresponding classification results; Combined with the accuracy of the classification results corresponding to the luminous vehicle logo intelligent chrome plating information analysis example, the accuracy of the luminous vehicle logo intelligent chrome plating information analysis thread is determined.

6. A luminous car logo intelligent chrome plating process parameter evaluation system, characterized in that: The invention comprises a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute the computer program to implement the method according to any one of claims 1 to 5.

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