CN114327705B - Vehicle assistant virtual image self-defining method - Google Patents
Vehicle assistant virtual image self-defining method Download PDFInfo
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- CN114327705B CN114327705B CN202111506253.2A CN202111506253A CN114327705B CN 114327705 B CN114327705 B CN 114327705B CN 202111506253 A CN202111506253 A CN 202111506253A CN 114327705 B CN114327705 B CN 114327705B
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Abstract
The invention discloses a vehicle assistant virtual image self-defining method, which comprises the following steps: 1) Uploading and configuring image material resources; 2) Generating a portrait photo, and uploading the portrait photo to a vehicle cloud platform; 3, transmitting the portrait photo to a third party cloud platform for portrait stylization; 4) The virtual image is transmitted back to the vehicle cloud platform; 5) Uploading the personalized adjustment to a vehicle cloud platform for storage; 6) And after synchronizing the image resources of the vehicle cloud platform, carrying out reloading operation, and executing virtual image interactive rendering. The user can customize the virtual image, and the interaction between the end and the cloud end is realized, so that the requirements of differentiation and individuation of the user are better met.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a vehicle-mounted assistant virtual image self-defining method.
Background
Along with the rapid development of the artificial intelligence field, the virtual image has wide application in live broadcast, with goods, intelligent sound box, game and other scenes. For example, chinese patent CN202010834708.2 discloses "a method, a device and a car for anthropomorphic interaction of a vehicle assistant", which discloses a method for anthropomorphic interaction of a vehicle assistant, and can better achieve a co-emotion effect than a traditional single synthesized voice. However, the vehicle model with the virtual assistant image is basically a fixed image provided by authorities in the market at present, and the different and personalized requirements of different vehicle owners cannot be met.
Therefore, how to provide a technology capable of quickly generating personalized virtual images in the field of intelligent vehicles so as to better meet the demands of user differentiation and personalization, and the technology is a technical problem which needs to be solved by those skilled in the art.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a vehicle-mounted assistant virtual image self-defining method, which enables a user to self-define virtual images and realize end-cloud-end interaction, thereby better meeting the requirements of differentiation and individuation of the user.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: a vehicle assistant virtual image self-defining method is characterized in that: the method comprises the following steps:
1) Uploading and configuring image material resources by a vehicle cloud platform;
2) The mobile client takes a picture to generate a portrait photo, and then uploads the portrait photo to the vehicle cloud platform;
3) The vehicle cloud platform transmits the portrait photo to a third party cloud platform for portrait stylization;
4) The third party cloud platform returns the generated virtual image to the vehicle cloud platform for downloading by the mobile client;
5) After the mobile client downloads the virtual image, the mobile client performs personalized adjustment, packages the adjusted resource configuration file and the head resource, and uploads the resource configuration file and the head resource to the vehicle cloud platform for storage;
6) After the vehicle client synchronizes the image resources of the vehicle cloud platform, carrying out a reloading operation; and executing the virtual image interactive rendering according to the required scene.
Further, the specific working process of step 5) includes the following steps:
s1, checking whether the authority passes or not, and if so, entering a step S2;
s2, acquiring an virtual image list from the vehicle cloud platform, judging whether an virtual image exists or not, and if not, entering a step S3; if yes, enter step S4;
s3, starting image creation, selecting photographing to generate an virtual image or selecting an existing photo to generate the virtual image;
s4, directly displaying the corresponding image;
s5, editing or decorating the image;
s6, if the image modification is abandoned, returning to the step S2,
and S7, if the stored image is determined, uploading the configuration file of the customized virtual image to the vehicle cloud platform, and adding the virtual image to the vehicle cloud platform or modifying the existing virtual image.
Further, the step S3 specifically includes the following steps:
a1, acquiring a default configuration file from a vehicle cloud platform;
a2, updating a mapping relation list of the hair, the beard and the glasses, and storing mapping configuration files of the hair, the beard and the glasses;
a3, acquiring a head image generated by photographing;
a4, acquiring hair, beard and glasses type data according to the head image generated in the step A3;
a5, analyzing according to the mapping list, and mapping the relation between the category and the hair, eyes and the mustache materials matched with the head to form a new mapping configuration file of the hair, the mustache and the glasses:
and A6, finally, combining the mapping configuration files of the new hairs, the new beards and the new glasses obtained in the step A5 with the default configuration files to generate new configuration file data, and uploading the new configuration file data to the cloud platform.
Further, the step S7 specifically includes the following steps:
b1, establishing a resource index file for the current image resource configuration file, and then carrying out resource compression;
after the compression is successful, uploading the resources and the configuration files to a vehicle cloud platform, and judging whether the creation is successful or not;
b3, if the uploading fails, prompting that the creation fails; if the resource and the configuration file reach the limit of the maximum number of the images, prompting to delete the existing virtual images;
and B4, if the creation is successful, prompting that the creation is successful, and storing the virtual image.
Further, the step 6) specifically includes the following steps:
z1, a vehicle machine end actively acquires a user-defined virtual image pushed by a vehicle cloud platform, and then an image center updates image data;
z2, calling an SDK interface of the vehicle-mounted image to execute the operation of switching the self-defined virtual image, and transmitting the resource image and the configuration file to a third party;
z3, after the third party SDK receives the instruction of switching the image, judging whether the received resource image and configuration file are valid or not;
z4, if the resource image and the configuration file are valid, comparing the received configuration file with the local configuration file to judge whether the resource image is updated or not; if the resource image and the configuration file are invalid, returning information to the vehicle machine side;
z5, if the resource image needs to be updated, downloading update packages of the resource images one by one; if no resource is new and needs to be updated, the local resources are arranged through the configuration file;
z6, if the update package is successfully downloaded, combining the updated resource file and the local existing resource file to form a new resource file; if the update package is not successfully downloaded, the information is returned to the vehicle machine side;
and Z7, finally, loading a new resource file and rendering by the 3D engine.
Compared with the prior art, the invention has the following advantages: by adopting the scheme, the user can customize the virtual image through the mobile client (such as a mobile phone APP) and upload the customized virtual image to the vehicle cloud platform, and then configure (push or download) the virtual image to the vehicle machine through the vehicle cloud platform, so that the interaction of the end-cloud-end is realized, and the requirements of differentiation and individuation of the user are better met.
Drawings
Fig. 1 is a general workflow diagram of the present invention.
Fig. 2 is a flow chart of the operation of the mobile client in the present invention.
FIG. 3 is a flowchart of the present invention for photographing to generate a complete set of configuration files.
Fig. 4 is a flowchart of the operation of adding and modifying images in the present invention.
FIG. 5 is a flow chart of operation of the vehicle client of the present invention.
Detailed Description
The invention will be further described with reference to the drawings and examples.
Examples: referring to fig. 1, a vehicle assistant avatar customization method includes the steps of:
1) Uploading and configuring image material resources by a vehicle cloud platform;
2) The mobile client (mobile phone client) shoots to generate a portrait photo, and then uploads the portrait photo to the vehicle cloud platform;
3) After the vehicle cloud platform acquires the portrait photo, the portrait photo is transmitted to a third party cloud platform for portrait stylization;
4) The third party cloud platform returns the generated virtual image to the vehicle cloud platform for downloading by the mobile client;
5) After the mobile client downloads the virtual image, the mobile client performs personalized adjustment, packages the adjusted resource configuration file and the head resource, and uploads the resource configuration file and the head resource to the vehicle cloud platform for storage;
6) After the vehicle-mounted client synchronizes the image resources (resource configuration files and head resources) of the vehicle cloud platform, carrying out a reloading operation; and executing the virtual image interactive rendering according to the required scene.
Specifically:
in the scheme, the mobile client provides a face image in an active photographing or photo uploading mode, selects gender, extracts facial five-sense organ parameters and gender characteristics of the facial five-sense organ parameters, and generates a differentiated 3D virtual image. The customized modification of the body type, face shape, eyebrow, eyelash, eyes, nose, lips, hairstyle and beard figure parameter information of the customized virtual figure is supported, and different suits, jackets, trousers, skirts, hats, hair cards, glasses, socks and shoes are matched with the figure to dress the figure so as to meet the personalized requirements; the method comprises the steps of supporting to send and apply the currently stored custom virtual image to a vehicle client as an exclusive vehicle-mounted assistant image; supporting re-editing of parameter information of the custom virtual image, and synchronizing the vehicle assistant as the latest data; supporting deleting the custom avatar, and synchronously deleting the custom avatar of the assistant of the car machine.
After the client side of the vehicle actively pulls the user-defined image data, the virtual image is displayed by complete rendering; supporting switching of an official brand vehicle-mounted assistant image in the current application into a custom virtual image; after the user-defined virtual image is used, different actions are supported to be displayed in different scenes, different TTS text contents are broadcasted, and the like.
Uploading and managing body type, face shape, eyebrow, eyelash, eyes, nose, lips, hairstyle, beard figure materials, suit, coat, trousers, skirt, hat, hair clip, glasses, socks, shoes and apparel decoration materials of the custom-made virtual figure by the vehicle cloud platform; uploading and managing scene action materials of the custom avatar; configuring the corresponding relation between the five sense organs gender parameter identified by the image and part of category materials to ensure the similarity between the initial image generated by the self-defined virtual image and the portrait photo; configuring playing actions, TTS (time to live) playing message contents, display strategies and the like of the user-defined virtual images in different scenes; selecting a specific release strategy according to the requirements of the vehicle type project; and storing and managing relevant data of the user, such as vehicle-mounted devices, image correspondence and the like.
And the third-party cloud platform performs feature analysis on the portrait pictures, and completes modeling and generating rendering of the custom 3D virtual images according to analysis result data.
The specific implementation method comprises the following steps:
in this scheme, referring to fig. 2, the specific working procedure of step 5) includes the following steps:
s1, checking whether the authority passes or not, and if so, entering a step S2;
s2, acquiring an virtual image list from the vehicle cloud platform, judging whether an virtual image exists or not, and if not, entering a step S3; if yes, enter step S4;
s3, starting image creation, selecting photographing to generate an virtual image or selecting an existing photo to generate the virtual image; i.e., upload the photograph first and then produce the avatar. Referring to fig. 3, the method specifically comprises the following steps:
a1, acquiring a default configuration file from a vehicle cloud platform;
a2, updating a mapping relation list of the hair, the beard and the glasses, and storing mapping configuration files of the hair, the beard and the glasses;
a3, acquiring a head image generated by photographing;
a4, acquiring hair, beard and glasses type data according to the head image generated in the step A3;
a5, analyzing according to the mapping list, and mapping the relation between the category and the hair, eyes and the mustache materials matched with the head to form a new mapping configuration file of the hair, the mustache and the glasses:
and A6, finally, combining the mapping configuration files of the new hairs, the new beards and the new glasses obtained in the step A5 with the default configuration files to generate new configuration file data, and uploading the new configuration file data to the cloud platform.
S4, directly displaying the corresponding image;
s5, editing or decorating the image;
s6, if the image modification is abandoned, returning to the step S2,
s7, if the stored image is determined, uploading the configuration file of the customized virtual image to a vehicle cloud platform, and adding the virtual image to the vehicle cloud platform or modifying the existing virtual image; referring to fig. 4, the method specifically comprises the following steps:
b1, establishing a resource index file for the current image resource configuration file, and then compressing the resource file;
after the compression is successful, uploading the resources and the configuration files to a vehicle cloud platform, and judging whether the creation is successful or not;
b3, if the uploading fails, prompting that the creation fails; if the resource and the configuration file reach the limit of the maximum number of the images, prompting to delete the existing virtual images;
and B4, if the creation is successful, prompting that the creation is successful, and storing the virtual image.
In this embodiment, referring to fig. 5, step 6) specifically includes the following steps:
z1, a vehicle machine end actively acquires a user-defined virtual image pushed by a vehicle cloud platform, and then an image center updates image data;
z2, calling an SDK interface of the vehicle-to-machine image to execute the operation of switching the custom virtual image, and transmitting the resource image and the json character string of the configuration file to a third party;
z3, after the third party SDK receives the instruction of switching the image, judging whether the received resource image and configuration file are valid or not;
z4, if the resource image and the configuration file are valid, comparing the received configuration file with the local configuration file to judge whether the resource image is updated or not; if the resource image and the configuration file are invalid, returning information to the vehicle machine side;
z5, if the resource image needs to be updated, downloading update packages of the resource images one by one; if no resource is new and needs to be updated, the local resources are arranged through the configuration file;
z6, if the update package is successfully downloaded, merging the updated resource file and the local existing resource file to form a new resource file; if the update package is not successfully downloaded, the information is returned to the vehicle machine side;
and Z7, finally, loading a new resource file (a resource file formed by arranging local resources through a configuration file or a resource file formed by combining an updated resource file with a local existing resource file), and finally, rendering by a 3D engine.
In addition, in this solution, the technology of generating the 3D avatar by the third party cloud platform through the portrait photo is mature prior art, and therefore, will not be described in detail herein.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the technical solution, and those skilled in the art should understand that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the present invention, and all such modifications and equivalents are included in the scope of the claims.
Claims (3)
1. A vehicle assistant virtual image self-defining method is characterized in that: the method comprises the following steps:
1) Uploading and configuring image material resources by a vehicle cloud platform;
2) The mobile client takes a picture to generate a portrait photo, and then uploads the portrait photo to the vehicle cloud platform;
3) The vehicle cloud platform transmits the portrait photo to a third party cloud platform for portrait stylization;
4) The third party cloud platform returns the generated virtual image to the vehicle cloud platform for downloading by the mobile client;
5) After the mobile client downloads the virtual image, the mobile client performs personalized adjustment, packages the adjusted resource configuration file and the head resource, and uploads the resource configuration file and the head resource to the vehicle cloud platform for storage; the specific working process comprises the following steps:
s1, checking whether the authority passes or not, and if so, entering a step S2;
s2, acquiring an virtual image list from the vehicle cloud platform, judging whether an virtual image exists or not, and if not, entering a step S3; if yes, enter step S4;
s3, starting image creation, selecting photographing to generate an virtual image or selecting an existing photo to generate the virtual image; the method specifically comprises the following steps:
a1, acquiring a default configuration file from a vehicle cloud platform;
a2, updating a mapping relation list of the hair, the beard and the glasses, and storing mapping configuration files of the hair, the beard and the glasses;
a3, acquiring a head image generated by photographing;
a4, acquiring hair, beard and glasses type data according to the head image generated in the step A3;
a5, analyzing according to the mapping list, and mapping the relationship between the category and the head-matched hair, glasses and mustache materials to form a new mapping configuration file of the hair, the mustache and the glasses;
a6, finally, combining the mapping configuration files of the new hairs, the new beards and the new glasses obtained in the step A5 with the default configuration files to generate new configuration file data, and uploading the new configuration file data to the cloud platform
S4, directly displaying the corresponding image;
s5, editing or decorating the image;
s6, if the image modification is abandoned, returning to the step S2,
s7, if the stored image is determined, uploading a configuration file of the customized virtual image to a vehicle cloud platform, and adding the virtual image to the vehicle cloud platform or modifying the existing virtual image;
6) After the vehicle client synchronizes the image resources of the vehicle cloud platform, carrying out a reloading operation; and executing the virtual image interactive rendering according to the required scene.
2. The vehicle assistant avatar customization method of claim 1, wherein: the step S7 specifically comprises the following steps:
b1, establishing a resource index file for the current image resource configuration file, and then carrying out resource compression;
after the compression is successful, uploading the resources and the configuration files to a vehicle cloud platform, and judging whether the creation is successful or not;
b3, if the uploading fails, prompting that the creation fails; if the resource and the configuration file reach the limit of the maximum number of the images, prompting to delete the existing virtual images;
and B4, if the creation is successful, prompting that the creation is successful, and storing the virtual image.
3. The vehicle assistant avatar customization method of claim 1, wherein: the step 6) specifically comprises the following steps:
z1, a vehicle machine end actively acquires a user-defined virtual image pushed by a vehicle cloud platform, and then an image center updates image data;
z2, calling an SDK interface of the vehicle-mounted image to execute the operation of switching the self-defined virtual image, and transmitting the resource image and the configuration file to a third party;
z3, after the third party SDK receives the instruction of switching the image, judging whether the received resource image and configuration file are valid or not;
z4, if the resource image and the configuration file are valid, comparing the received configuration file with the local configuration file to judge whether the resource image is updated or not; if the resource image and the configuration file are invalid, returning information to the vehicle machine side;
z5, if the resource image needs to be updated, downloading update packages of the resource images one by one; if no resource is new and needs to be updated, the local resources are arranged through the configuration file;
z6, if the update package is successfully downloaded, combining the updated resource file and the local existing resource file to form a new resource file; if the update package is not successfully downloaded, returning information to the vehicle machine side;
and Z7, finally, loading a new resource file and rendering by the 3D engine.
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| CN114840292A (en) * | 2022-04-21 | 2022-08-02 | 重庆长安汽车股份有限公司 | Real-time rendering method based on automobile AI virtual image and automobile |
| CN115277669B (en) * | 2022-06-24 | 2023-05-26 | 重庆长安汽车股份有限公司 | State control method based on virtual image for vehicle |
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