CN111368777B - Vehicle characteristic acquisition method, server and client - Google Patents
Vehicle characteristic acquisition method, server and client Download PDFInfo
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- CN111368777B CN111368777B CN202010174973.2A CN202010174973A CN111368777B CN 111368777 B CN111368777 B CN 111368777B CN 202010174973 A CN202010174973 A CN 202010174973A CN 111368777 B CN111368777 B CN 111368777B
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Abstract
The application discloses a vehicle characteristic acquisition method, a server and a client. The method disclosed by the application comprises the following steps: receiving a target video sent by a client, and shooting a target vehicle according to preset guiding information to obtain the target video; extracting a characteristic image from a target video according to preset guide information; and returning the characteristic image to the client for display. The application does not need repeated shooting, has short shooting time consumption and high efficiency, shoots the video according to the preset guide information, can ensure shooting angle, improves image quality, and ensures that the image meets the actual requirement as much as possible. Correspondingly, the server and the client provided by the application also have the technical effects.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to a method for acquiring vehicle features, a server, and a client.
Background
At present, the vehicle photos are obtained by manually taking photos one by one, and the photos need to be taken again once the shooting angles are slightly deviated, and the time is long, so that a vehicle takes tens of photos from different angles and different directions, and the time is very long. The quality and angle of the image obtained by manual photographing may also be inconsistent with the actual requirements.
Therefore, how to efficiently obtain an image capable of accurately representing the characteristics of a vehicle is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, an object of the present application is to provide a vehicle feature acquisition method, a server and a client, so as to efficiently obtain an image capable of accurately representing a vehicle feature. The specific scheme is as follows:
in a first aspect, the present application provides a vehicle feature obtaining method, applied to a server, including:
receiving a target video sent by a client, wherein the target video is obtained by shooting a target vehicle according to preset guiding information;
extracting a characteristic image from the target video according to the preset guide information;
and returning the characteristic image to the client for display.
Preferably, the extracting the feature image from the target video according to the preset guiding information includes:
after gray processing is carried out on the guide image corresponding to the preset guide information, first characteristic information is extracted from the guide image;
dividing the target video into a plurality of images to be matched by taking a frame as a unit, and extracting second characteristic information from the images to be matched after carrying out gray processing on the images to be matched;
and comparing the first characteristic information with the second characteristic information, and determining an image to be matched corresponding to the second characteristic information with the highest similarity of the first characteristic information as the characteristic image.
Preferably, after the feature image is extracted from the target video according to the preset guiding information, the method further includes:
when the target video lacks the features in the preset guide information, determining missing features;
forming a supplementary video guide according to the missing features, and sending the supplementary video guide to a client so that the client shoots the supplementary video according to the supplementary video guide;
and extracting supplementary feature images from the supplementary video according to the supplementary video guide.
Preferably, the returning the feature image to the client for display includes:
and returning the characteristic image and the supplementary characteristic image to the client for display.
Preferably, after the feature image is returned to the client for display, the method further includes:
and if a characteristic image adjusting instruction input by a user is received, adjusting the characteristic image, and returning the adjusted characteristic image to the client for displaying.
In a second aspect, the present application provides another vehicle feature obtaining method, applied to a client, including:
transmitting a feature acquisition request of a target vehicle to a server, so that the server determines preset guide information according to the feature acquisition request;
receiving the preset guide information;
acquiring a target video of the target vehicle according to the preset guiding information;
the target video is sent to the server, so that the server extracts characteristic images from the target video according to the preset guide information, and the characteristic images are returned to the client;
the feature image is shown.
Preferably, after the sending the target video to the server, the method further comprises:
receiving supplementary video guidance sent by the server;
acquiring supplementary video according to the supplementary video guide;
and sending the supplementary video to the server so that the server extracts supplementary feature images from the supplementary video.
Preferably, the method further comprises:
receiving a characteristic image adjustment instruction input by a user;
and sending the characteristic image adjustment instruction to the server so as to enable the server to adjust the characteristic image, and returning the adjusted characteristic image to the client for display.
In a third aspect, the present application provides a server comprising:
a memory for storing a computer program;
and a processor for executing the computer program to implement the vehicle feature acquisition method as described above.
In a fourth aspect, the present application provides a client, including:
a memory for storing a computer program;
and a processor for executing the computer program to implement the vehicle feature acquisition method as described above.
According to the scheme, the application provides a vehicle characteristic acquisition method, which comprises the following steps: receiving a target video sent by a client, wherein the target video is obtained by shooting a target vehicle according to preset guiding information; extracting a characteristic image from the target video according to the preset guide information; and returning the characteristic image to the client for display.
Therefore, after receiving the target video sent by the client, the method extracts the characteristic image from the target video according to the preset guide information, and then returns the characteristic image to the client for display. In the application, the user only needs to shoot the video of the vehicle according to the preset guiding information, and then the application can automatically extract the characteristic image from the video and return to the client for displaying. Compared with the prior art, the method has the advantages that repeated shooting is not needed, the shooting time is short, the efficiency is high, the video is shot according to the preset guide information, the shooting angle can be ensured, the image quality is improved, and the image meets the actual requirements as much as possible.
Correspondingly, the server and the client provided by the application also have the technical effects.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a vehicle feature acquisition method of the present disclosure;
FIG. 2 is a flow chart of another vehicle feature acquisition method of the present disclosure;
FIG. 3 is a schematic diagram of a vehicle feature acquisition device according to the present disclosure;
fig. 4 is a schematic view of another vehicle characteristic acquisition device according to the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
At present, the vehicle photos are obtained by manually taking photos one by one, and the photos need to be taken again once the shooting angles are slightly deviated, and the time is long, so that a vehicle takes tens of photos from different angles and different directions, and the time is very long. The quality and angle of the image obtained by manual photographing may also be inconsistent with the actual requirements. Therefore, the application provides a vehicle characteristic acquisition scheme which can efficiently acquire images capable of accurately representing vehicle characteristics.
Referring to fig. 1, an embodiment of the application discloses a vehicle feature acquisition method, which is applied to a server and includes:
s101, receiving target video sent by a client.
The target video is obtained by shooting a target vehicle according to preset guiding information. The AR technology can be adopted in shooting, the AR (Augmented Reality ) technology is a technology for skillfully fusing virtual information with the real world, various technical means such as multimedia, three-dimensional modeling, real-time tracking and registering, intelligent interaction, sensing and the like are widely applied, and after virtual information such as characters, images, three-dimensional models, music, videos and the like generated by a computer is simulated and simulated, the two kinds of information are mutually supplemented, so that the enhancement of the real world is realized. Of course, after capturing a video, sending the video to a server, the video may be processed by AR technology at the server side.
S102, extracting feature images from the target video according to preset guide information.
In one embodiment, extracting a feature image from a target video according to preset guiding information includes: after gray processing is carried out on a guide image corresponding to preset guide information, first characteristic information is extracted from the guide image; dividing a target video into a plurality of images to be matched by taking a frame as a unit, and extracting second characteristic information from the images to be matched after carrying out gray processing on the images to be matched; and comparing the first characteristic information with the second characteristic information, and determining the image to be matched corresponding to the second characteristic information with the highest similarity of the first characteristic information as the characteristic image.
The gray processing is performed on the guide image, so that the data processing amount of the image can be reduced, and convenience is provided for the subsequent comparison step.
In a specific embodiment, the preset guiding information corresponds to the feature image one by one, and the preset guiding information includes: front, front side, front rear, center console, back space, instrument panel; the first characteristic information corresponding to different preset guide information is different.
Each piece of preset guide information corresponds to one guide image, and the characteristic information in the guide image is the first characteristic information. The first characteristic information in the different guidance images is different. For example: when the preset guiding information is right ahead, the first characteristic information includes: license plate and the back of two rearview mirrors; when the preset guiding information is positive side, the first characteristic information comprises: two doors and a right mirror; when the preset guiding information is right behind, the first characteristic information comprises: license plate + two mirror surfaces; when the preset guiding information is a center console, the first characteristic information includes: steering wheel, positive and negative driving position and front windshield; when the preset guiding information is a post-evacuation interval, the first characteristic information includes: two seats in the back row, a rear windshield and two side doors; when the preset guiding information is a dashboard, the first feature information includes: bilateral symmetry circles, numbers, and pointers. Of course, the preset guiding information may be other.
And S103, returning the characteristic image to the client for display.
In a specific embodiment, after the feature image is returned to the client for display, the method further includes: if a characteristic image adjusting instruction input by a user is received, adjusting the characteristic image, and returning the adjusted characteristic image to the client for displaying. When the characteristic images are adjusted, the characteristic images can be extracted from the target video according to preset guide information; and returning the characteristic image to the client for display. If the characteristic image does not meet the expectations, the user can input a characteristic image adjustment instruction at the client side, so that the server extracts the characteristic image from the target video again for display.
In one embodiment, if the feature image is missing, the image may be re-captured, or only the missing portion may be re-captured. Therefore, after extracting the feature image from the target video according to the preset guiding information, the method further comprises the following steps: when the target video lacks the characteristics in the preset guide information, determining missing characteristics; forming a supplementary video guide according to the missing characteristics, and sending the supplementary video guide to the client so that the client shoots the supplementary video according to the supplementary video guide; and extracting the supplementary feature images from the supplementary video according to the supplementary video guide. Correspondingly, the characteristic image is returned to the client for display, and the method comprises the following steps: and returning the characteristic images and the supplementary characteristic images to the client for display.
The preset guide information is assumed to include: each preset guide information corresponds to one characteristic image, but actually only characteristic images corresponding to the front, the front side, the front rear and the center console are extracted from the target video, and characteristic images corresponding to the rear space and the instrument panel are not extracted, so that the condition that the target video lacks the characteristics in the preset guide information can be determined, and the missing characteristics at the moment are the rear space and the instrument panel. The server may send a supplementary video guide including the back space and the dashboard to the client so that the client captures a supplementary video including the back space and the dashboard, and after the server obtains the supplementary video, extracts a supplementary feature image from the supplementary video according to the supplementary video guide, thereby obtaining feature images (i.e., supplementary feature images) corresponding to the back space and the dashboard.
In a specific embodiment, after the feature image is returned to the client for display, the method further includes: and if a feature image storage instruction input by a user is received, storing the feature image, and adding identification information for the feature image. If the feature image displayed at the client accords with the expectation, the user can trigger the storage operation of the feature image at the client to enable the server to store the feature image. The identification information of the feature image can be information such as a vehicle model, a brand, a year, and the like of the vehicle.
In a specific embodiment, after the feature image is returned to the client for display, the method further includes: and if a target video updating instruction input by a user is received, deleting the target video. If the target video has a problem, the user can trigger the updating operation of the target video at the client. The method comprises the steps that an update instruction of a target video is input to a client, so that a server deletes the target video and shoots the target video again.
It should be noted that, shooting the target video may be automatically performed by a robot or manually performed by a worker.
Therefore, after receiving the target video sent by the client, the embodiment of the application extracts the characteristic image from the target video according to the preset guide information, and returns the characteristic image to the client for display. In the application, the user only needs to shoot the video of the vehicle according to the preset guiding information, and then the application can automatically extract the characteristic image from the video and return to the client for displaying. Compared with the prior art, the method has the advantages that repeated shooting is not needed, the shooting time is short, the efficiency is high, the video is shot according to the preset guide information, the shooting angle can be ensured, the image quality is improved, and the image meets the actual requirements as much as possible.
Another vehicle feature acquiring method provided in the embodiment of the present application is described below, and a vehicle feature acquiring method described below and a vehicle feature acquiring method described above may be referred to each other.
Referring to fig. 2, the embodiment of the application discloses another vehicle feature acquisition method, which is applied to a client and comprises the following steps:
s201, sending a feature acquisition request of a target vehicle to a server so that the server determines preset guide information according to the feature acquisition request;
s202, receiving preset guide information sent by a server;
s203, acquiring a target video of a target vehicle according to preset guide information;
s204, sending the target video to a server, so that the server extracts characteristic images from the target video according to preset guide information, and returning the characteristic images to the client;
s205, displaying the characteristic image.
Specifically, the user may customize preset guiding information at the client, then send a feature acquisition request including the preset guiding information to the server, and after the server checks the preset guiding information in the feature acquisition request (the user-defined preset guiding information may be wrong, so the server needs to check the user-defined preset guiding information), send the checked preset guiding information to the client and display the checked preset guiding information. The server can predefine standard preset guide information, and if the preset guide information sent by the client is in the standard preset guide information, the preset guide information sent by the client is determined to pass the check; otherwise, deleting the preset guide information sent by the client by taking the standard preset guide information as a standard, and returning the deleted information to the client for display.
For example: the standard predefined guide information predefined by the server comprises: front, front side, front rear, center console, back space, instrument panel. The preset guiding information sent by the client comprises: front, front side, front rear, center console, and driver's seat. And deleting the driving seat after comparing the two, and returning the front, the side, the rear and the center console to the client for displaying.
When the client displays the preset guide information, the user shoots the vehicle according to the preset guide information (the shooting sequence of the client shooting interface can be indicated by an arrow moving mode), so that the user is guided to shoot the video containing the characteristic images correctly. Meanwhile, the AR technology preset by the client processes the video data obtained through shooting and displays the images of the vehicle.
In one embodiment, after the target video is sent to the server, the method further includes: receiving supplementary video guidance sent by a server; acquiring supplementary video according to the supplementary video guide; the supplemental video is sent to the server to cause the server to extract supplemental feature images from the supplemental video. The specific process of extracting the supplementary feature image from the supplementary video by the server may refer to the process of extracting the feature image in the above embodiment, which is not described herein.
In one specific embodiment, the method further comprises: receiving a characteristic image adjustment instruction input by a user; and sending the characteristic image adjustment instruction to the server so as to enable the server to adjust the characteristic image, and returning the adjusted characteristic image to the client for display. When the server adjusts the characteristic images, the characteristic images can be extracted from the target video according to preset guide information; and returning the characteristic image to the client for display.
Therefore, the embodiment of the application can shoot the target video according to the preset guide information and send the target video to the server, so that the server extracts the characteristic image from the target video according to the preset guide information and returns the characteristic image to the client for display. In this embodiment, the user only needs to shoot the video of the vehicle according to the preset guiding information, and then the application can automatically extract the characteristic image from the video and return to the client for display. Compared with the prior art, the method has the advantages that repeated shooting is not needed, the shooting time is short, the efficiency is high, the video is shot according to the preset guide information, the shooting angle can be ensured, the image quality is improved, and the image meets the actual requirements as much as possible.
A vehicle feature acquiring scheme provided in the embodiment of the present application is described below, and a vehicle feature acquiring scheme described below and a vehicle feature acquiring method described above may be referred to each other.
The implementation steps of the vehicle characteristic acquisition scheme provided by the implementation include:
(1) The method comprises the steps that the type of a vehicle photo to be acquired is manually set in a background server, the sequence of guide information is preset, and the characteristics of the guide information are preset. For example:
A. front (characterized by license plate + two rear view mirror back);
B. the front side (characterized in that two doors are arranged and a rearview mirror is arranged on the right side);
C. the front and the rear (characterized in that a license plate and two rearview mirror surfaces are arranged);
D. center console (characterized by steering wheel + positive and negative driving position + front windshield);
E. rear evacuation room (characterized by two seats of rear row + rear windshield + two side doors);
F. instrument panel (characterized by bilateral symmetry circle + number + pointer);
the sequence of A-F is the video shooting sequence, and the sequence can be adjusted according to actual conditions.
(2) And after the user opens the client and simultaneously opens the camera, displaying a video shooting sequence on a display interface of the client, and shooting the vehicle according to the sequence by the user so as to obtain a video.
(3) After the user finishes shooting at the corresponding angle according to the shooting sequence, clicking the shooting end button, and uploading the shot video to the server by the client.
(4) The server receives the uploaded video and processes the video using AR technology. The method specifically comprises the following steps:
and carrying out scanning comparison on each frame of image in the video according to the characteristics of preset guide information. And finding a nearest image in the video for each piece of preset guide information, and taking the nearest image as a characteristic image of the preset guide information. The preset guiding information corresponds to the characteristic images one by one. After finding out the corresponding characteristic images for all preset guide information, storing all the characteristic images.
(5) The server returns all the characteristic images to the client and displays all the characteristic images on the client. And displaying the successful acquisition message. If the user is not satisfied with the feature image, the video may be retake.
Therefore, the embodiment adopts a video shooting mode, utilizes the AR technology to analyze and acquire the characteristics of the vehicle, does not need repeated shooting, has short shooting time and high efficiency, shoots the video according to the preset guiding information, can ensure the shooting angle, improves the image quality, and enables the image to meet the actual requirements as much as possible.
A vehicle feature acquiring device according to an embodiment of the present application is described below, and a vehicle feature acquiring device described below and a vehicle feature acquiring method described above may be referred to each other.
Referring to fig. 3, an embodiment of the present application discloses a vehicle feature acquiring device, which is applied to a server, and includes:
the receiving module 301 is configured to receive a target video sent by a client, where the target video is obtained by shooting a target vehicle according to preset guiding information;
the extracting module 302 is configured to extract a feature image from the target video according to preset guiding information;
and the returning module 303 is used for returning the characteristic image to the client for display.
Preferably, the extraction module comprises:
the first extraction unit is used for extracting first characteristic information from the guide image after carrying out gray processing on the guide image corresponding to the preset guide information;
the second extraction unit is used for dividing the target video into a plurality of images to be matched in a frame unit, and extracting second characteristic information from the images to be matched after carrying out gray processing on the images to be matched;
and the comparison unit is used for comparing the first characteristic information with the second characteristic information and determining the image to be matched corresponding to the second characteristic information with the highest similarity with the first characteristic information as the characteristic image.
In one specific embodiment, the method further comprises:
the determining module is used for determining missing features when the target video lacks features in preset guide information;
the sending module is used for forming a supplementary video guide according to the missing characteristics and sending the supplementary video guide to the client so that the client shoots the supplementary video according to the supplementary video guide;
and the supplementary module is used for extracting supplementary feature images from the supplementary video according to the supplementary video guide.
In one embodiment, the return module is specifically configured to:
and returning the characteristic images and the supplementary characteristic images to the client for display.
In one specific embodiment, the method further comprises:
and the adjusting module is used for adjusting the characteristic image if a characteristic image adjusting instruction input by a user is received, and returning the adjusted characteristic image to the client for display.
The more specific working process of each module and unit in this embodiment may refer to the corresponding content disclosed in the foregoing embodiment, and will not be described herein.
Therefore, the embodiment provides a vehicle feature acquisition device, which is short in shooting time and high in efficiency, and can shoot a video according to preset guide information, so that shooting angles can be ensured, image quality can be improved, and images can meet actual requirements as much as possible.
Another vehicle feature acquiring device provided in the embodiment of the present application is described below, and the another vehicle feature acquiring device described below and the another vehicle feature acquiring method described above may be referred to each other.
Referring to fig. 4, an embodiment of the present application discloses another vehicle feature acquiring apparatus, which is applied to a client, and includes:
a first client sending module 401, configured to send a feature acquisition request of a target vehicle to a server, so that the server determines preset guiding information according to the feature acquisition request;
a client receiving module 402, configured to receive preset guiding information sent by a server;
the client shooting module 403 is configured to obtain a target video of a target vehicle according to preset guiding information;
the second client sending module 404 is configured to send the target video to the server, so that the server extracts the feature image from the target video according to the preset guiding information, and returns the feature image to the client;
the client display module 405 is configured to display the feature image.
In a specific embodiment, the client receiving module is further configured to:
receiving supplementary video guidance sent by a server; acquiring supplementary video according to the supplementary video guide; the supplemental video is sent to the server to cause the server to extract supplemental feature images from the supplemental video.
In a specific embodiment, the client receiving module is further configured to:
receiving a characteristic image adjustment instruction input by a user; and sending the characteristic image adjustment instruction to the server so as to enable the server to adjust the characteristic image, and returning the adjusted characteristic image to the client for display.
The more specific working process of each module and unit in this embodiment may refer to the corresponding content disclosed in the foregoing embodiment, and will not be described herein.
Therefore, the embodiment provides a vehicle feature acquisition device, which is short in shooting time and high in efficiency, and can shoot a video according to preset guide information, so that shooting angles can be ensured, image quality can be improved, and images can meet actual requirements as much as possible.
The following describes a server provided in an embodiment of the present application, and the server described below and the method and apparatus for acquiring a vehicle feature described above may refer to each other.
A server, comprising:
a memory for storing a computer program;
and a processor for executing the computer program to implement the vehicle feature acquisition method applied to the server as described above.
The following describes a client provided in an embodiment of the present application, and the client described below and the method and apparatus for obtaining a vehicle feature described above may refer to each other.
A client, comprising:
a memory for storing a computer program;
and a processor for executing the computer program to implement the vehicle feature acquisition method applied to the client as described above.
The references to "first," "second," "third," "fourth," etc. (if present) are used to distinguish similar objects from each other and are not necessarily used to describe a particular order or sequence. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, or apparatus.
It should be noted that the description of "first", "second", etc. in this disclosure is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implying an indication of the number of technical features being indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present application.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of readable storage medium known in the art.
The principles and embodiments of the present application have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (4)
1. A vehicle feature acquisition method, characterized by being applied to a server, comprising:
step S1, the server receives a target video sent by a client, and the target video is obtained by shooting a target vehicle according to preset guiding information; the preset guiding information comprises: front, front side, front rear, center console, back space, instrument panel;
step S2, the server extracts a characteristic image from the target video according to the preset guide information, and the step includes: step S21, after gray processing is carried out on the guide image corresponding to the preset guide information, first characteristic information is extracted from the guide image; each piece of preset guide information corresponds to one guide image, and first characteristic information in different guide images is different; s22, dividing the target video into a plurality of images to be matched in a frame unit, and extracting second characteristic information from the images to be matched after carrying out gray processing on the images to be matched; s23, comparing the first characteristic information with the second characteristic information, and determining an image to be matched corresponding to the second characteristic information with the highest similarity with the first characteristic information as the characteristic image;
step S3, when the server identifies that the target video lacks the features in the preset guide information, the server determines missing features; the server forms a supplementary video guide according to the missing feature and sends the supplementary video guide to the client so that the client shoots the supplementary video according to the supplementary video guide; the server extracts supplementary feature images from the supplementary video according to the supplementary video guide;
step S4, if the supplementary feature image exists, the server returns the feature image and the supplementary feature image to the client for display; otherwise, the server returns the characteristic image to the client for display;
the step S4 further comprises: and if the characteristic image does not accord with the expectation, when the server receives a characteristic image adjustment instruction input by a user, adjusting the characteristic image, and executing the step of extracting the characteristic image from the target video according to the preset guide information again.
2. A vehicle feature acquisition method, applied to a client, comprising:
step S01, the client sends a feature acquisition request of a target vehicle to a server so that the server determines preset guide information according to the feature acquisition request; the preset guiding information comprises: front, front side, front rear, center console, back space, instrument panel;
step S02, the client receives the preset guide information;
step S03, the client acquires a target video of the target vehicle according to the preset guiding information;
step S04, the client sends the target video to the server so that the server extracts a characteristic image from the target video according to the preset guide information, and returns the characteristic image to the client;
the server extracts a feature image from the target video according to the preset guiding information, and the method comprises the following steps:
the server executes step S21-step S23; step S21, after gray processing is carried out on the guide image corresponding to the preset guide information, first characteristic information is extracted from the guide image; each piece of preset guide information corresponds to one guide image, and first characteristic information in different guide images is different; s22, dividing the target video into a plurality of images to be matched in a frame unit, and extracting second characteristic information from the images to be matched after carrying out gray processing on the images to be matched; s23, comparing the first characteristic information with the second characteristic information, and determining an image to be matched corresponding to the second characteristic information with the highest similarity with the first characteristic information as the characteristic image;
wherein after the client sends the target video to the server, the method further comprises: when the server identifies that the target video lacks the features in the preset guide information, the server determines missing features, and forms supplementary video guide according to the missing features and sends the supplementary video guide to the client; the client receives the supplementary video guide sent by the server; acquiring supplementary video according to the supplementary video guide; transmitting the supplementary video to the server so that the server extracts supplementary feature images from the supplementary video;
step S05, if the supplementary feature image exists, the client displays the feature image and the supplementary feature image together; otherwise, the client displays the characteristic image;
step S05 is followed by: if the characteristic image does not accord with the expectation, the client receives a characteristic image adjustment instruction input by a user and sends the characteristic image adjustment instruction to the server; and after receiving the characteristic image adjustment instruction, the server adjusts the characteristic image and executes the step of extracting the characteristic image from the target video according to the preset guide information again.
3. A server, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the vehicle feature acquisition method as claimed in claim 1.
4. A client, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the vehicle feature acquisition method as claimed in claim 2.
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