Implementation method of virtual fitting

Abstract

A virtual fitting implementation method belongs to the technical field of virtual fitting, and determines whether a collector correctly forms a clothes image by sampling an image message of the collector and executing error detection, measurement and analysis, thereby executing instant beforehand reminding through information response. The reliability and the accuracy of the clothes image formed by the collector are improved by using the image information, and when an error occurs in the image information, the cause of the error is analyzed, and whether the error clothes image is formed due to the failure of the collector is determined, so that the error clothes image is formed and obtained, and the accuracy of the error clothes image is improved. In other words, the operation message of the collector of each image message is sampled and reliable operation detection, measurement and analysis are executed, so that a manager can maintain or replace the ineffective collector in real time to ensure the credibility and the accuracy of the obtained clothes image, and the detection and prompt function of the equipment is synchronously and easily improved.

Description

Technical Field

[0001] The invention belongs to the technical field of virtual fitting, and in particular relates to a method for realizing virtual fitting. Background Art

[0002] Virtual fitting is a technology application that enables users to change clothes and see the effect without taking off their clothes. Virtual fitting is mainly based on European and American 3D virtual fitting technology. All models and clothes are three-dimensional animations, which is too expensive. A dedicated person is required to produce three-dimensional animations for each piece of clothing, and there is no texture.

[0003] In terms of virtual fitting, currently, virtual fitting is often performed as described in the patent publication number "CN206711151U", which specifically includes a connected collector and a collector, the collector is used to transmit the acquired clothing image to the collector; the collector is used to obtain the fitting image of the user wearing the clothing based on the collected clothing image, thereby realizing virtual fitting.

[0004] However, when the collector transmits the acquired clothing image to the collector, the existing collector cannot perform analytical response on the accuracy and credibility of the acquired clothing image, and when an error occurs in acquiring the clothing image, it cannot be determined whether the erroneous clothing image is acquired due to a failure of the collector, thereby resulting in the acquisition of an erroneous clothing image, which weakens the prompt function of the collector, and cannot detect the smoothness and reliability of the clothing image transmission, nor can it perform analysis on the hidden transmission risk trend, thereby weakening the reliability of the clothing image transmission. Summary of the invention

[0005] In order to solve the defects in the prior art, the present invention provides a method for realizing virtual fitting, which samples the image information of the collector and performs error detection, measurement and analysis to determine whether the collector correctly forms the clothing image, and accordingly performs immediate advance reminders through information response to improve the reliability and accuracy of the clothing image formed by the collector, and when an error occurs in the image information, analyzes the cause of the error to determine whether the erroneous clothing image is formed due to a failure of the collector, thereby forming an erroneous clothing image, that is, sampling the operation information of the collector of each image message and performing reliable operation detection, measurement and analysis, based on which the controller promptly performs maintenance or replacement on the failed collector to ensure the reliability and accuracy of the obtained clothing image, and simultaneously improves the detection and prompting function of the equipment.

[0006] The present invention uses the following technical solutions.

[0007] A method for implementing virtual fitting, comprising:

[0008] The collector transmits the acquired clothing image to the collector; the collector obtains the fitting image of the user wearing the clothing based on the collected clothing image, thereby realizing virtual fitting;

[0009] The collector transmits the acquired clothing image to the collector, which also includes:

[0010] When the pre-warning module generates a detection message, it transmits the detection message to the image hidden danger module. After receiving the detection message, the image hidden danger module samples the image message of the collector in real time, and performs error detection, measurement and analysis on the image message to determine whether the collector correctly generates the clothing image, and accordingly performs an immediate pre-warning through information response.

[0011] Preferably, the image message includes characteristic data of target clothing required for forming the clothing image, characteristic data of the target clothing used, and characteristic data of the target clothing required to be displayed on the LCD screen.

[0012] Preferably, the method of error detection and determination analysis comprises:

[0013] The time taken from the time when the collector starts to form the clothing image to the time when the clothing image is formed is obtained, and the time taken is defined as a critical time amount, and characteristic data of the target clothing required to form the clothing image, characteristic data of the target clothing used, and characteristic data of the target clothing required to be displayed within the critical time amount are obtained, and the characteristic data of the target clothing required to form the clothing image, characteristic data of the target clothing used, and characteristic data of the target clothing required to be displayed are analyzed:

[0014] If the characteristic data of the target clothing required for forming the clothing image, the characteristic data of the target clothing used and the characteristic data of the target clothing required for display are consistent, a transfer message is formed and the transfer message is transmitted to the detection and analysis module;

[0015] If the conditions that the characteristic data of the target clothing required for forming the clothing image and the characteristic data of the target clothing used are consistent with the characteristic data of the target clothing required for display are not met, an error message is generated and transmitted to the error analysis module.

[0016] Preferably, after receiving the error message, the error analysis module samples the operation message of each collector in real time, and performs reliable operation detection and measurement analysis on the operation message to determine whether the collector is operating correctly.

[0017] Preferably, the operation message includes the working power value of the collector and the temperature value of the collector.

[0018] Preferably, the method for reliably running the detection and determination analysis comprises:

[0019] The critical time quantity is divided into l time periods, where l is an integer not less than one, and the collector of the sampled image message is defined as d, where d is an integer not less than one. The working power value of each collector in each time period is obtained, and the amount obtained by subtracting the mean of the working power values ​​of the collectors in a pair of adjacent time periods is obtained, thereby obtaining the maximum and minimum amounts of the amounts obtained by subtracting the mean of the working power values ​​of the collectors in a pair of adjacent time periods, and thereby defining the average of the maximum and minimum amounts obtained by subtracting the mean of the working power values ​​of the collectors in a pair of adjacent time periods as the average of the variation quantity, which is set as QCd;

[0020] Obtain the temperature value of each collector in the time critical amount, compare and analyze the temperature value with the pre-defined temperature value critical amount. If the temperature value is higher than the pre-defined temperature value critical amount, define the quotient of the temperature value minus the pre-defined temperature value critical amount divided by the temperature value as the scene hidden danger increase or decrease amount, and set it as ICd.

[0021] Preferably, the method for reliably running the detection, measurement and analysis further comprises:

[0022] According to the equation Obtain the information available hidden danger determination factor Xd of the collector. In the equation, b1 and b2 are respectively the pre-defined ratio indexes of the mean change amount QCd and the scene hidden danger increase or decrease amount ICd. Both b1 and b2 are real numbers greater than 0. b3 is a pre-defined additional index. The information available hidden danger determination factor Xd is compared with the pre-defined information available hidden danger determination factor critical value registered and stored therein for analysis:

[0023] If the quotient obtained by dividing the information available hidden danger determination factor Xd by the predefined information available hidden danger determination factor critical amount is not higher than 1, it is determined that the obtained clothing image is available and no message is generated;

[0024] If the quotient obtained by dividing the information available hidden danger measurement factor Xd by the pre-defined information available hidden danger measurement factor critical amount is higher than 1, the obtained clothing image is determined to be unusable, a response message is generated, and the response message is transmitted to the LCD screen. After receiving the response message, the LCD screen displays the corresponding advance reminder text of the response message in real time.

[0025] Preferably, after receiving the transmission message, the detection and analysis module samples the hidden danger message of the collector in real time. The hidden danger message includes the number of BUGs, delay value and transmission bandwidth of the collector, and performs smooth transmission hidden danger measurement and analysis on the hidden danger message to determine whether the smoothness of the clothing image transmission is qualified, to prevent the hidden danger of clothing image loss during clothing image transmission, and to remind the operator to be careful of malicious attacks and BUGs that are often contained in the clothing image information transmission.

[0026] Preferably, the method for smoothly transferring hidden danger determination and analysis comprises:

[0027] The time from the starting transmission time point of the formed clothing image information to the time point when the formed clothing image information is sent to the collector is obtained, and it is defined as the analysis time, and the analysis time is divided into p time intervals, p is an integer not less than 1, and the number of bugs of the collector in each time interval is obtained, thereby constructing a group B of the number of bugs, thereby obtaining the mean of group B, defining the mean of group B as the mean number of bugs, and setting the mean number of bugs as QM;

[0028] Obtain the delay value of the collector in each time interval, use the time point as the horizontal coordinate and the delay value as the vertical coordinate to mark the coordinate point of each delay value in the Cartesian system, draw a delay value polyline by connecting two adjacent coordinate points with a connecting line, and simultaneously draw a delay value critical amount horizontal line with a pre-defined vertical coordinate as the delay value critical amount in the Cartesian system, thereby obtaining a quotient value obtained by dividing the span size of the line of the delay value polyline above the pre-defined delay value critical amount horizontal line by the total span size of the delay value polyline, and define the quotient value obtained by dividing the span size of the line of the delay value polyline above the pre-defined delay value critical amount horizontal line by the total span size of the delay value polyline as the delay potential risk value, which is set as ZG;

[0029] Obtain the transmission bandwidth of the collector in each time interval, mark the coordinate point of each transmission bandwidth in the Cartesian system with the time point as the horizontal coordinate and the transmission bandwidth as the vertical coordinate, draw a transmission bandwidth polyline by connecting two adjacent coordinate points with a connecting line, and simultaneously draw a transmission bandwidth critical value horizontal line with the vertical coordinate as the transmission bandwidth critical value in the Cartesian system, obtain the size of the area surrounded by the line of the transmission bandwidth polyline above the pre-defined transmission bandwidth critical value horizontal line and the pre-defined transmission bandwidth critical value horizontal line, and define it as a stable transmission value, which is set as XED;

[0030] According to the equation Obtain the transmission hidden danger determination factor. In the equation, g1, g2 and g3 are respectively the pre-defined importance indexes of the mean number of bugs QM, the delay hidden danger value ZG and the stable transmission value XED. g1, g2 and g3 are all real numbers not less than one. g4 is the remediation index. E is the transmission hidden danger determination factor. The transmission hidden danger determination factor E is compared with the pre-defined transmission hidden danger determination factor critical value registered and stored therein for analysis:

[0031] If the transmission potential risk determination factor E is lower than the pre-defined transmission potential risk determination factor critical value, a stable message is generated and the stable message is transmitted to the trend analysis module;

[0032] If the transmission hidden danger determination factor E is not lower than the pre-defined transmission hidden danger determination factor critical amount, a hidden danger message is generated and transmitted to the LCD screen. After receiving the hidden danger message, the LCD screen displays the corresponding advance warning text of the hidden danger message in real time.

[0033] Preferably, after receiving the stable message, the trend analysis module performs hidden hidden danger measurement analysis on the transmission hidden danger measurement factor E in real time. The hidden hidden danger measurement analysis method includes:

[0034] The transmission hazard determination factor E of the collector during the analysis time is obtained, and the mean humidity value QH of the collector during the analysis time is obtained synchronously. The mean humidity value QH represents the quotient obtained by subtracting the humidity value of the collector that exceeds the pre-defined humidity value critical value during the analysis time from the pre-defined humidity value critical value and dividing it by the pre-defined humidity value critical value. The transmission hazard determination factor E and the mean humidity value QH are processed by the Z-score method and the sum of the two is defined as the reliable transmission value. The reliable transmission values ​​in the previous n analysis times are obtained synchronously, where n is an integer not less than one, and the time point is used as the horizontal coordinate in the Cartesian system. Use the reliable transfer value as the vertical coordinate to mark the coordinate point of each reliable transfer value, and draw a reliable transfer value polyline by connecting two adjacent coordinate points with a line, so as to obtain the cumulative amount of the corresponding span sizes of all the lines that increase upward, the horizontal lines, and the lines that decrease downward in the reliable transfer value polyline, and define the total value obtained by adding up the corresponding span sizes of all the lines that increase upward, the horizontal lines, and the lines that decrease downward as an increment, a constant, and a decrement, respectively, so as to obtain the cumulative amount obtained by adding the increment and the constant, and define the quotient obtained by dividing the cumulative amount by the decrement as the transfer trend value, and perform analysis on the transfer trend value:

[0035] If the value of the transmitted trend value is higher than 1, no additional message is generated;

[0036] If the value of the transmitted trend value is lower than 1, an improvement message is generated and transmitted to the LCD screen. After receiving the improvement message, the LCD screen displays the corresponding advance reminder of the improvement message in real time.

[0037] A device for implementing virtual fitting, comprising:

[0038] The collector and the collector are connected, the collector is used to transmit the acquired clothing image to the collector; the collector is used to obtain the fitting image of the user wearing the clothing according to the acquired clothing image, so as to realize virtual fitting, and the collector is also provided with a power transmitter connected to it for sampling the working power value of the collector and transmitting it to the collector, a thermocouple for sampling the temperature value of the collector and transmitting it to the collector, and a humidity transmitter for sampling the humidity value of the collector and transmitting it to the collector, and the collector is also connected to the LCD screen;

[0039] The virtual fitting device also includes the following modules running on the collector:

[0040] The pre-warning module, the image hidden danger module, the detection and analysis module, the error analysis module and the trend analysis module, the pre-warning module is communicatively connected with the image hidden danger module, the image hidden danger module, the detection and analysis module and the error analysis module are all communicatively connected, the error analysis module and the detection and analysis module are both communicatively connected with the LCD screen, the detection and analysis module is communicatively connected with the trend analysis module, and the trend analysis module is communicatively connected with the LCD screen.

[0041] The beneficial effect of the present invention is that, compared with the prior art, the present invention determines whether the collector correctly forms a clothing image by sampling the image message of the collector and performing error detection measurement and analysis, and accordingly performs immediate advance reminders through information response to improve the reliability and accuracy of the clothing image formed by the collector, and when an error occurs in the image message, analyzes the cause of the error to determine whether the erroneous clothing image is formed due to a failure of the collector, thereby obtaining the erroneous clothing image, that is, sampling the operation message of the collector of each image message and performing reliable operation detection measurement and analysis, based on which the controller promptly performs maintenance or replacement on the failed collector to ensure The credibility and accuracy of the obtained clothing images are synchronously used to improve the detection and prompting function of the equipment. When the image information is correct, the hidden danger information of the collector is obtained, and the smooth transmission hidden danger measurement and analysis is performed to determine whether the smoothness of the clothing image transmission is qualified to avoid the hidden danger of clothing image loss during clothing image transmission, and remind the operator to be careful of the malicious attacks and BUGs that often exist in the clothing image information transmission, and perform hidden hidden danger measurement and analysis on the collector through a response method to determine whether the collector has hidden defects, and perform improvement and disposal in time, thereby improving the reliability and stability of future clothing image transmission and overcoming the hidden transmission hidden danger defects it carries. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a partial flow chart of the implementation method of the virtual fitting method in the present invention;

[0043] Figure 2 It is a schematic diagram of the module structure of the device for realizing the virtual fitting in the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely expressed in combination with the drawings in the embodiments of the present invention. The embodiments expressed in this application are only embodiments of a part of the present invention, not all embodiments. According to the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0045] like Figure 1 As shown, a method for implementing virtual fitting according to the present invention includes:

[0046] The collector transmits the acquired clothing image to the collector; the collector obtains the fitting image of the user wearing the clothing based on the collected clothing image, thereby realizing virtual fitting;

[0047] The collector transmits the acquired clothing image to the collector, which also includes:

[0048] When the pre-warning module generates a detection message and transmits the detection message to the image hidden danger module, the image hidden danger module samples the image message of the collector in real time after receiving the detection message, and performs error detection measurement and analysis on the image message to determine whether the collector correctly forms the clothing image. Based on this, an immediate pre-warning is performed through information response to improve the reliability and accuracy of the clothing image formed by the collector.

[0049] In a preferred but non-limiting embodiment of the present invention, the image message includes the characteristic data of the target clothing required to form the clothing image, the characteristic data of the target clothing used, and the characteristic data of the target clothing displayed on the LCD screen. The characteristic data of the target clothing required is the characteristic data of the target clothing required to form the clothing image stored in the collector; the characteristic data of the target clothing used is the characteristic data of the target clothing actually used by the collector in forming the clothing image; the characteristic data of the target clothing required to form the clothing image displayed on the LCD screen is the characteristic data of the target clothing taken out by the collector for forming the clothing image, and the characteristic data of the target clothing taken out for forming the clothing image is also synchronously displayed on the LCD screen.

[0050] In a preferred but non-limiting embodiment of the present invention, the method for error detection, measurement and analysis comprises:

[0051] The time taken from the time when the collector starts to form the clothing image to the time when the clothing image is formed is obtained, and the time taken is defined as a critical time amount, and characteristic data of the target clothing required to form the clothing image, characteristic data of the target clothing used, and characteristic data of the target clothing required to be displayed within the critical time amount are obtained, and the characteristic data of the target clothing required to form the clothing image, characteristic data of the target clothing used, and characteristic data of the target clothing required to be displayed are analyzed:

[0052] If the characteristic data of the target clothing required for forming the clothing image, the characteristic data of the target clothing used and the characteristic data of the target clothing required for display are consistent, a transfer message is formed and the transfer message is transmitted to the detection and analysis module;

[0053] If the condition that the characteristic data of the target clothing required for forming the clothing image and the characteristic data of the target clothing used are consistent with the characteristic data of the target clothing required for display is not met, an error message is generated and the error message is transmitted to the error analysis module;

[0054] When an error occurs in the image information, the cause of the error is analyzed to determine whether the erroneous clothing image is caused by a failure of the collector, so as to obtain the erroneous clothing image. If it is not caused by a failure of the collector, the failure information is registered and stored, which provides a basis for subsequent operations.

[0055] In a preferred but non-limiting embodiment of the present invention, after receiving the error message, the error analysis module samples the operation message of each collector in real time, and performs reliable operation detection and measurement analysis on the operation message to determine whether the collector is operating correctly, thereby determining whether the clothing image acquisition is correct and usable, and performing control and replacement in real time.

[0056] In a preferred but non-limiting embodiment of the present invention, the operation message includes an operating power value of the collector and a temperature value of the collector.

[0057] In a preferred but non-limiting embodiment of the present invention, the method for reliably running the detection and determination analysis comprises:

[0058] The critical time is divided into l time periods, where l is an integer not less than one, and the collector of the sampled image message is defined as d, where d is an integer not less than one. The working power value of each collector in each time period is obtained, and the amount obtained by subtracting the average of the working power values ​​of the collectors in a pair of adjacent time periods is obtained (the earlier time period can be regarded as the subtrahend, and the later time period can be regarded as the minuend), thereby obtaining the maximum and minimum amounts obtained by subtracting the average of the working power values ​​of the collectors in a pair of adjacent time periods, and thereby defining the average of the maximum and minimum amounts obtained by subtracting the average of the working power values ​​of the collectors in a pair of adjacent time periods as the variation amount average, which is set as QCd, and the higher the value of the variation amount average QCd is, the higher the risk of abnormality of the collector in obtaining the clothing image is;

[0059] Get the temperature value of each collector in the time critical amount, compare and analyze the temperature value with the pre-defined temperature value critical amount. If the temperature value is higher than the pre-defined temperature value critical amount, define the quotient of the temperature value minus the pre-defined temperature value critical amount divided by the temperature value as the scene hidden danger increase or decrease amount, which is set as ICd. The scene hidden danger increase or decrease amount ICd is an indicator that reflects the operation of the collector.

[0060] In a preferred but non-limiting embodiment of the present invention, the method for reliably running the detection, measurement and analysis further comprises:

[0061] According to the equation Obtain the available hidden danger determination factor Xd of the information collector. In the equation, b1 and b2 are respectively the predefined ratio indexes of the mean change amount QCd and the scene hidden danger increase or decrease amount ICd. The ratio index is used to calibrate the error of each indicator during the equation calculation, so as to make the calculated value more accurate. b1 and b2 are real numbers greater than 0. b3 is a predefined additional index, and its value can be 1.553. The level of the available hidden danger determination factor Xd of the collector is a digital value obtained by digitizing each indicator, which is convenient for subsequent comparison. The level of the available hidden danger determination factor is determined by the level of the working power value and temperature value of the collector and the corresponding amount set for each cluster of working power value and temperature value. It is only necessary not to affect the relationship between the indicator and the digitized value. The available hidden danger determination factor Xd of the information is compared with the predefined available hidden danger determination factor critical value stored therein for analysis:

[0062] If the quotient obtained by dividing the information available hidden danger determination factor Xd by the previously defined information available hidden danger determination factor threshold value is not higher than 1, it is determined that the acquired (formed) clothing image is available, and no additional message is formed;

[0063] If the quotient obtained by dividing the information available hidden danger determination factor Xd by the pre-defined information available hidden danger determination factor critical amount is higher than 1, the obtained clothing image is determined to be unavailable, a response message is generated, and the response message is transmitted to the LCD screen. After receiving the response message, the LCD screen displays the corresponding advance reminder text of the response message in real time. Based on this, the controller immediately performs maintenance or replacement on the failed collector to ensure the credibility and accuracy of the obtained clothing image, and simultaneously improves the detection and prompt function of the equipment.

[0064] In a preferred but non-restrictive embodiment of the present invention, after receiving the transmission message, the detection and analysis module samples the hidden danger message of the collector in real time. The hidden danger message includes the number of bugs in the collector (the number of bugs in the collector is the number of bugs in the program running on the collector), the delay value (the delay value is the delay value for transmitting information from collector to collector) and the transmission bandwidth (the transmission bandwidth is the bandwidth for transmitting information from collector to collector), and performs smooth transmission hidden danger measurement and analysis on the hidden danger message to determine whether the smoothness of the clothing image transmission is qualified, to prevent the hidden danger of clothing image loss during the clothing image transmission, and to remind the operator to be careful of the malicious attacks and bugs that often occur in the clothing image information transmission.

[0065] In a preferred but non-limiting embodiment of the present invention, the method for smoothly transferring hidden danger determination and analysis comprises:

[0066] The time from the starting transmission time point of the formed clothing image information (that is, the starting time point of transmitting the clothing image information to the collector) to the time point of sending the formed clothing image information to the collector is obtained, and it is defined as the analysis time. The analysis time is divided into p time intervals, where p is an integer not less than 1. The number of BUGs of the collector in each time interval is obtained, and a group B of the number of BUGs is constructed to obtain the mean of the group B. The mean of the group B is defined as the mean number of BUGs, and the mean number of BUGs is set to QM. The higher the value of the mean number of BUGs QM, the higher the risk of transmission failure to the collector.

[0067] Obtain the time delay value of the collector in each time interval, use the time point as the horizontal coordinate and the time delay value as the vertical coordinate to mark the coordinate point of each time delay value in the Cartesian system, draw a time delay value polyline by connecting two adjacent coordinate points with a connecting line, and simultaneously draw a time delay value critical amount horizontal line with a predefined vertical coordinate as the time delay value critical amount in the Cartesian system, thereby obtaining a quotient value obtained by dividing the span size of the line of the time delay value polyline above the predefined time delay value critical amount horizontal line by the total span size of the time delay value polyline, and define the quotient value obtained by dividing the span size of the line of the time delay value polyline above the predefined time delay value critical amount horizontal line by the total span size of the time delay value polyline as a time delay potential risk value, which is set to ZG, and the time delay of the collector will disturb the smooth transmission of the clothing image, and the higher the value of the time delay potential risk value ZG, the higher the transmission abnormality potential risk;

[0068] The transmission bandwidth of the collector in each time interval is obtained, and the coordinate point of each transmission bandwidth is marked in the Cartesian system with the time point as the horizontal coordinate and the transmission bandwidth as the vertical coordinate. The transmission bandwidth polyline is drawn by connecting two adjacent coordinate points with a connecting line, and the transmission bandwidth critical amount horizontal line with the vertical coordinate as the transmission bandwidth critical amount is drawn in the Cartesian system in advance. The size of the area surrounded by the line where the transmission bandwidth polyline is above the transmission bandwidth critical amount horizontal line and the transmission bandwidth critical amount horizontal line in advance is obtained, and it is defined as a stable transmission value, which is set as XED. The higher the value of the stable transmission value XED, the lower the hidden danger of transmission abnormality.

[0069] According to the equation Obtain the transmission risk determination factor. In the equation, g1, g2 and g3 are respectively the pre-defined importance indexes of the mean number of bugs QM, the delay risk value ZG and the stable transmission value XED. g1, g2 and g3 are all real numbers not less than one. g4 is the remediation index, which can be 1.673. E is the transmission risk determination factor. The transmission risk determination factor E is compared with the pre-defined transmission risk determination factor critical value registered and stored therein for analysis:

[0070] If the transmission potential risk determination factor E is lower than the pre-defined transmission potential risk determination factor critical value, a stable message is generated and the stable message is transmitted to the trend analysis module;

[0071] If the transmission hidden danger measurement factor E is not lower than the pre-defined transmission hidden danger measurement factor critical value, a hidden danger message is generated and transmitted to the LCD screen. After receiving the hidden danger message, the LCD screen displays the corresponding advance warning text of the hidden danger message in real time. Based on this, the improvement controller immediately performs improvement measures on the collector, which is conducive to improving the smoothness of clothing image transmission and preventing clothing images from being lost during transmission.

[0072] In a preferred but non-limiting embodiment of the present invention, after receiving the stable message, the trend analysis module performs hidden hidden danger measurement analysis on the transmission hidden danger measurement factor E in real time to determine whether the collector has hidden defects, and accordingly immediately performs improvement measures to improve the reliability of clothing image transmission. The hidden hidden danger measurement analysis method includes:

[0073] The transmission hazard determination factor E of the collector during the analysis time is obtained, and the mean humidity value QH of the collector during the analysis time is obtained synchronously. The mean humidity value QH represents the quotient obtained by subtracting the humidity value of the collector that exceeds the pre-defined humidity value critical value during the analysis time from the pre-defined humidity value critical value and dividing it by the pre-defined humidity value critical value. The transmission hazard determination factor E and the mean humidity value QH are processed by the Z-score method and the sum of the two is defined as the reliable transmission value. The reliable transmission values ​​in the previous n analysis times are obtained synchronously, where n is an integer not less than one, and the time point is used as the horizontal coordinate in the Cartesian system. Use the reliable transfer value as the vertical coordinate to mark the coordinate point of each reliable transfer value, and draw a reliable transfer value polyline by connecting two adjacent coordinate points with a line, so as to obtain the cumulative amount of the corresponding span sizes of all the lines that increase upward, the horizontal lines, and the lines that decrease downward in the reliable transfer value polyline, and define the total value obtained by adding up the corresponding span sizes of all the lines that increase upward, the horizontal lines, and the lines that decrease downward as an increment, a constant, and a decrement, respectively, so as to obtain the cumulative amount obtained by adding the increment and the constant, and define the quotient obtained by dividing the cumulative amount by the decrement as the transfer trend value, and perform analysis on the transfer trend value:

[0074] If the value of the transmitted trend value is higher than 1, no additional message is generated;

[0075] If the value of the transmission trend value is lower than 1, an improvement message is generated and transmitted to the LCD screen. After receiving the improvement message, the LCD screen displays the corresponding advance reminder of the improvement message in real time, so as to remind the controller to immediately improve the collection and execution. The reliability and stability of the clothing image transmission after the improvement are improved, and the hidden transmission risks are overcome;

[0076] The size of the critical value is set to be convenient for comparison, and the height of the critical value is determined by the amount of humidity value and the basic number set for each cluster of humidity values; it only needs to not affect the correlation between the indicator and the digitized value.

[0077] In summary, the present invention determines whether the collector correctly forms a clothing image by sampling the image message of the collector and performing error detection measurement and analysis, and accordingly performs immediate advance reminders through information response to improve the reliability and accuracy of the clothing image formed by the collector. When an error occurs in the image message, the cause of the error is analyzed to determine whether the erroneous clothing image is formed due to a failure of the collector, thereby obtaining the clothing image in which the error occurs. That is, the operation message of the collector of each image message is sampled and reliable operation detection measurement and analysis is performed, and accordingly the controller promptly performs maintenance or replacement on the failed collector to ensure the accuracy of the obtained clothing image. Reliability and accuracy are simultaneously conducive to improving the detection and prompting functions of the equipment. When the image information is correct, the hidden danger information of the collector is obtained, and the smooth transmission hidden danger measurement and analysis is performed to determine whether the stability of the clothing image transmission is qualified, to avoid the hidden danger of clothing image loss during clothing image transmission, and to remind the operator to be careful of the malicious attacks and BUGs that often exist in clothing image information transmission, and to perform hidden hidden danger measurement and analysis on the collector through a response method to determine whether the collector has hidden defects, and to perform improvement measures in real time, thereby improving the reliability and stability of future clothing image transmission and overcoming the hidden transmission hidden danger defects it carries.

[0078] like Figure 2 As shown, a virtual fitting device according to the present invention comprises:

[0079] The collector and the collector are connected, the collector is used to transmit the acquired clothing image to the collector; the collector is used to obtain the fitting image of the user wearing the clothing based on the collected clothing image, so as to realize virtual fitting. The collector is also provided with a power transmitter connected to it for sampling the working power value of the collector and transmitting it to the collector, a thermocouple for sampling the temperature value of the collector and transmitting it to the collector, and a humidity transmitter for sampling the humidity value of the collector and transmitting it to the collector. The collector is also connected to the LCD screen; the collector can be a single-chip microcomputer.

[0080] The virtual fitting device also includes the following modules running on the collector:

[0081] The pre-warning module, the image hidden danger module, the detection and analysis module, the error analysis module and the trend analysis module, the pre-warning module is communicatively connected with the image hidden danger module, the image hidden danger module, the detection and analysis module and the error analysis module are all communicatively connected, the error analysis module and the detection and analysis module are both communicatively connected with the LCD screen, the detection and analysis module is communicatively connected with the trend analysis module, and the trend analysis module is communicatively connected with the LCD screen.

[0082] The beneficial effect of the present invention is that, compared with the prior art, the present invention determines whether the collector correctly forms a clothing image by sampling the image message of the collector and performing error detection measurement and analysis, and accordingly performs immediate advance reminders through information response to improve the reliability and accuracy of the clothing image formed by the collector, and when an error occurs in the image message, analyzes the cause of the error to determine whether the erroneous clothing image is formed due to a failure of the collector, thereby obtaining the erroneous clothing image, that is, sampling the operation message of the collector of each image message and performing reliable operation detection measurement and analysis, based on which the controller promptly performs maintenance or replacement on the failed collector to ensure The credibility and accuracy of the obtained clothing images are synchronously used to improve the detection and prompting function of the equipment. When the image information is correct, the hidden danger information of the collector is obtained, and the smooth transmission hidden danger measurement and analysis is performed to determine whether the smoothness of the clothing image transmission is qualified to avoid the hidden danger of clothing image loss during clothing image transmission, and remind the operator to be careful of the malicious attacks and BUGs that often exist in the clothing image information transmission, and perform hidden hidden danger measurement and analysis on the collector through a response method to determine whether the collector has hidden defects, and perform improvement and disposal in time, thereby improving the reliability and stability of future clothing image transmission and overcoming the hidden transmission hidden danger defects it carries.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not deviate from the spirit and scope of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A method for implementing virtual fitting, characterized in that: include: The collector transmits the acquired clothing image to the collector; the collector obtains the fitting image of the user wearing the clothing based on the collected clothing image, thereby realizing virtual fitting; The collector transmits the acquired clothing image to the collector, which also includes: When the pre-warning module generates a detection message, it transmits the detection message to the image hidden danger module. After receiving the detection message, the image hidden danger module samples the image message of the collector in real time, and performs error detection, measurement and analysis on the image message to determine whether the collector correctly generates the clothing image, and accordingly performs an immediate pre-warning through information response.

2. The method for implementing virtual fitting according to claim 1, characterized in that: The image message includes the characteristic data of the target clothing required to form the clothing image, the characteristic data of the target clothing used, and the characteristic data of the target clothing required to be displayed on the liquid crystal screen.

3. The method for implementing virtual fitting according to claim 2, characterized in that: The method of error detection and measurement analysis includes: The time taken from the time when the collector starts to form the clothing image to the time when the clothing image is formed is obtained, and the time taken is defined as a critical time amount, and characteristic data of the target clothing required to form the clothing image, characteristic data of the target clothing used, and characteristic data of the target clothing required to be displayed within the critical time amount are obtained, and the characteristic data of the target clothing required to form the clothing image, characteristic data of the target clothing used, and characteristic data of the target clothing required to be displayed are analyzed: If the characteristic data of the target clothing required for forming the clothing image, the characteristic data of the target clothing used and the characteristic data of the target clothing required for display are consistent, a transfer message is formed and the transfer message is transmitted to the detection and analysis module; If the conditions that the characteristic data of the target clothing required for forming the clothing image and the characteristic data of the target clothing used are consistent with the characteristic data of the target clothing required for display are not met, an error message is generated and transmitted to the error analysis module.

4. The method for implementing virtual fitting according to claim 3, characterized in that: After receiving the error message, the error analysis module samples the operation message of each collector in real time, and performs reliable operation detection and measurement analysis on the operation message to determine whether the collector is operating correctly; The operation message includes the working power value and temperature value of the collector.

5. The method for implementing virtual fitting according to claim 4, characterized in that: Methods for reliably running detection and measurement analysis include: The critical time quantity is divided into l time periods, where l is an integer not less than one, and the collector of the sampled image message is defined as d, where d is an integer not less than one. The working power value of each collector in each time period is obtained, and the amount obtained by subtracting the mean of the working power values ​​of the collectors in a pair of adjacent time periods is obtained, thereby obtaining the maximum and minimum amounts of the amounts obtained by subtracting the mean of the working power values ​​of the collectors in a pair of adjacent time periods, and thereby defining the average of the maximum and minimum amounts obtained by subtracting the mean of the working power values ​​of the collectors in a pair of adjacent time periods as the average of the variation quantity, which is set as QCd; Obtain the temperature value of each collector in the time critical amount, compare and analyze the temperature value with the pre-defined temperature value critical amount. If the temperature value is higher than the pre-defined temperature value critical amount, define the quotient of the temperature value minus the pre-defined temperature value critical amount divided by the temperature value as the scene hidden danger increase or decrease amount, and set it as ICd.

6. The method for implementing virtual fitting according to claim 5, characterized in that: The method for reliably running the detection measurement analysis also includes: According to the equation Obtain the information available hidden danger determination factor Xd of the collector. In the equation, b1 and b2 are respectively the pre-defined ratio indexes of the mean change amount QCd and the scene hidden danger increase or decrease amount ICd. Both b1 and b2 are real numbers greater than 0. b3 is a pre-defined additional index. The information available hidden danger determination factor Xd is compared with the pre-defined information available hidden danger determination factor critical value registered and stored therein for analysis: If the quotient obtained by dividing the information available hidden danger determination factor Xd by the predefined information available hidden danger determination factor critical amount is not higher than 1, it is determined that the obtained clothing image is available and no message is generated; If the quotient obtained by dividing the information available hidden danger measurement factor Xd by the pre-defined information available hidden danger measurement factor critical amount is higher than 1, the obtained clothing image is determined to be unusable, a response message is generated, and the response message is transmitted to the LCD screen. After receiving the response message, the LCD screen displays the corresponding advance reminder text of the response message in real time.

7. The method for implementing virtual fitting according to claim 6, characterized in that: After receiving the transmission message, the detection and analysis module samples the hidden danger message of the collector in real time. The hidden danger message includes the number of BUGs, delay value and transmission bandwidth of the collector, and performs stable transmission hidden danger measurement and analysis on the hidden danger message.

8. The method for implementing virtual fitting according to claim 7, characterized in that: The method of smoothly transferring hidden danger determination and analysis includes: The time from the starting transmission time point of the formed clothing image information to the time point when the formed clothing image information is sent to the collector is obtained, and it is defined as the analysis time, and the analysis time is divided into p time intervals, p is an integer not less than 1, and the number of bugs of the collector in each time interval is obtained, thereby constructing a group B of the number of bugs, thereby obtaining the mean of group B, defining the mean of group B as the mean number of bugs, and setting the mean number of bugs as QM; Obtain the delay value of the collector in each time interval, use the time point as the horizontal coordinate and the delay value as the vertical coordinate to mark the coordinate point of each delay value in the Cartesian system, draw a delay value polyline by connecting two adjacent coordinate points with a connecting line, and simultaneously draw a delay value critical amount horizontal line with a pre-defined vertical coordinate as the delay value critical amount in the Cartesian system, thereby obtaining a quotient value obtained by dividing the span size of the line of the delay value polyline above the pre-defined delay value critical amount horizontal line by the total span size of the delay value polyline, and define the quotient value obtained by dividing the span size of the line of the delay value polyline above the pre-defined delay value critical amount horizontal line by the total span size of the delay value polyline as the delay potential risk value, which is set as ZG; Obtain the transmission bandwidth of the collector in each time interval, mark the coordinate point of each transmission bandwidth in the Cartesian system with the time point as the horizontal coordinate and the transmission bandwidth as the vertical coordinate, draw a transmission bandwidth polyline by connecting two adjacent coordinate points with a connecting line, and simultaneously draw a transmission bandwidth critical value horizontal line with the vertical coordinate as the transmission bandwidth critical value in the Cartesian system, obtain the size of the area surrounded by the line of the transmission bandwidth polyline above the pre-defined transmission bandwidth critical value horizontal line and the pre-defined transmission bandwidth critical value horizontal line, and define it as a stable transmission value, which is set as XED; According to the equation Obtain the transmission hidden danger determination factor. In the equation, g1, g2 and g3 are respectively the pre-defined importance indexes of the mean number of bugs QM, the delay hidden danger value ZG and the stable transmission value XED. g1, g2 and g3 are all real numbers not less than one. g4 is the remediation index. E is the transmission hidden danger determination factor. The transmission hidden danger determination factor E is compared with the pre-defined transmission hidden danger determination factor critical value registered and stored therein for analysis: If the transmission potential risk determination factor E is lower than the pre-defined transmission potential risk determination factor critical value, a stable message is generated and the stable message is transmitted to the trend analysis module; If the transmission hidden danger determination factor E is not lower than the pre-defined transmission hidden danger determination factor critical amount, a hidden danger message is generated and transmitted to the LCD screen. After receiving the hidden danger message, the LCD screen displays the corresponding advance warning text of the hidden danger message in real time.

9. The method for implementing virtual fitting according to claim 8, characterized in that: After receiving the stable message, the trend analysis module performs hidden danger measurement analysis on the transmitted hidden danger measurement factor E in real time. The hidden danger measurement analysis method includes: The transmission hazard determination factor E of the collector during the analysis time is obtained, and the mean humidity value QH of the collector during the analysis time is obtained synchronously. The mean humidity value QH represents the quotient obtained by subtracting the humidity value of the collector that exceeds the pre-defined humidity value critical value during the analysis time from the pre-defined humidity value critical value and dividing it by the pre-defined humidity value critical value. The transmission hazard determination factor E and the mean humidity value QH are processed by the Z-score method and the sum of the two is defined as the reliable transmission value. The reliable transmission values ​​in the previous n analysis times are obtained synchronously, where n is an integer not less than one, and the time point is used as the horizontal coordinate in the Cartesian system. Use the reliable transfer value as the vertical coordinate to mark the coordinate point of each reliable transfer value, and draw a reliable transfer value polyline by connecting two adjacent coordinate points with a line, so as to obtain the cumulative amount of the corresponding span sizes of all the lines that increase upward, the horizontal lines, and the lines that decrease downward in the reliable transfer value polyline, and define the total value obtained by adding up the corresponding span sizes of all the lines that increase upward, the horizontal lines, and the lines that decrease downward as an increment, a constant, and a decrement, respectively, so as to obtain the cumulative amount obtained by adding the increment and the constant, and define the quotient obtained by dividing the cumulative amount by the decrement as the transfer trend value, and perform analysis on the transfer trend value: If the value of the transmitted trend value is higher than 1, no additional message is generated; If the value of the transmitted trend value is lower than 1, an improvement message is generated and transmitted to the LCD screen. After receiving the improvement message, the LCD screen displays the corresponding advance reminder of the improvement message in real time.

10. A device for implementing virtual fitting, characterized in that: include: The collector and the collector are connected, the collector is used to transmit the acquired clothing image to the collector; the collector is used to obtain the fitting image of the user wearing the clothing according to the acquired clothing image, so as to realize virtual fitting, and the collector is also provided with a power transmitter connected to it for sampling the working power value of the collector and transmitting it to the collector, a thermocouple for sampling the temperature value of the collector and transmitting it to the collector, and a humidity transmitter for sampling the humidity value of the collector and transmitting it to the collector, and the collector is also connected to the LCD screen; The virtual fitting device also includes the following modules running on the collector: The pre-warning module, the image hidden danger module, the detection and analysis module, the error analysis module and the trend analysis module, the pre-warning module is communicatively connected with the image hidden danger module, the image hidden danger module, the detection and analysis module and the error analysis module are all communicatively connected, the error analysis module and the detection and analysis module are both communicatively connected with the LCD screen, the detection and analysis module is communicatively connected with the trend analysis module, and the trend analysis module is communicatively connected with the LCD screen.

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