CN109040592A - The method and apparatus for controlling shooting angle - Google Patents
The method and apparatus for controlling shooting angle Download PDFInfo
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- CN109040592A CN109040592A CN201810961704.3A CN201810961704A CN109040592A CN 109040592 A CN109040592 A CN 109040592A CN 201810961704 A CN201810961704 A CN 201810961704A CN 109040592 A CN109040592 A CN 109040592A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
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Abstract
This specification embodiment provides a kind of method and apparatus for controlling shooting angle, method includes: that terminal obtains preview image, and determines angular interval belonging to the current shooting angle of the terminal using neural network classification model trained in advance according to the preview image；When the angular interval predetermined angle section corresponding with current car damage identification scene belonging to the current shooting angle is consistent, the terminal exports the first prompt information, and first prompt information is for reminding user that can shoot；When the angular interval predetermined angle section corresponding with current car damage identification scene belonging to the current shooting angle is inconsistent, the terminal exports the second prompt information, second prompt information is used to remind user that shooting angle is improper, and user is reminded to need to convert shooting angle.This specification embodiment can control shooting angle, so that the photo of shooting be made to meet the needs of to car damage identification.
Description
Technical field
This specification one or more embodiment is related to computer field, more particularly to the method and dress of control shooting angle
It sets.
Background technique
Traditional vehicle insurance settle a claim scene, insurance company need send profession survey setting loss personnel to the scene of the accident to vehicle
Dam site investigation setting loss is carried out, the maintenance program and indemnity of vehicle, and floor photo and setting loss photo are provided, by photo
Shelves are stayed to verify prices for backstage inspector's core damage.In addition in the self-service Claims Resolution scene of vehicle insurance, car owner needs floor photo and determines
Photo is damaged so that the car damage identification of insurance company uses.
In traditional vehicle insurance Claims Resolution scene, application (application, App) is surveyed for insurance by each insurance company
Company setting loss person uses.This kind of App has the function of camera shooting, photo classification, and the personnel of surveying, which can be used for shooting surveying, to be determined
Photo is damaged, and sort operation is carried out to photo.In the self-service Claims Resolution scene of vehicle insurance, car owner is usually using the original camera App of mobile phone
It is shot.Existing insurance company surveys App and only provides the shooting function of general camera, in the unsuitable situation of shooting angle
Still allow to shoot photo, the quality of photo places one's entire reliance upon operator to the understanding standardized is shot, systematic can not protect
Demonstrate,prove shooting quality.The original camera of system also has same problem, is completely dependent on the operation of car owner.
According to often there is the unsuitable situation of shooting angle, the photo of shooting is not able to satisfy to vehicle for the setting loss of live shooting
The demand of setting loss, this causes, and the core of inspector damages and the work for operation of verifying prices is affected.
Accordingly, it would be desirable to there is improved plan, shooting angle can be controlled, so that it is fixed to vehicle to meet the photo of shooting
The demand of damage.
Summary of the invention
This specification one or more embodiment describes a kind of method and apparatus for controlling shooting angle, can control bat
Angle is taken the photograph, so that the photo of shooting be made to meet the needs of to car damage identification.
In a first aspect, providing a kind of method for controlling shooting angle, method includes:
Terminal obtains preview image, and is determined according to the preview image using neural network classification model trained in advance
Angular interval belonging to the current shooting angle of the terminal；
The angular interval predetermined angle area corresponding with current car damage identification scene belonging to the current shooting angle
Between when being consistent, the terminal exports the first prompt information, and first prompt information is for reminding user that can shoot；
The angular interval predetermined angle area corresponding with current car damage identification scene belonging to the current shooting angle
Between it is inconsistent when, the terminal exports the second prompt information, and second prompt information is for reminding user's shooting angle not
Properly, and user is reminded to need to convert shooting angle.
In a kind of possible embodiment, the car damage identification scene includes vista shot scene and close shot shooting field
Scape；
The method also includes:
When the car damage identification scene is vista shot scene, the predetermined angle section is set as first angle area
Between；
When the car damage identification scene is close shot photographed scene, the predetermined angle section is set as second angle area
Between.
In a kind of possible embodiment, the neural network classification model is based on training sample and trains in advance, institute
Stating training sample includes the multiple images under car damage identification scene, and each image has the mark in proven shooting angle section
Label.
It is described that neural network classification trained in advance is utilized according to the preview image in a kind of possible embodiment
Model determines angular interval belonging to the current shooting angle of the terminal, comprising:
Using the preview image as the input of the neural network classification model, the neural network classification model is utilized
Determine that the corresponding tag along sort of the preview image, the tag along sort correspond to belonging to the current shooting angle of the terminal
Angular interval.
In a kind of possible embodiment, the terminal also obtains at least one sensor information of the terminal；Institute
State the current shooting angle institute for determining the terminal using neural network classification model trained in advance according to the preview image
The angular interval of category, comprising:
Using at least one sensor information of the preview image and the terminal as the neural network classification model
Input, determine the corresponding tag along sort of the preview image, the tag along sort pair using the neural network classification model
Angular interval belonging to the current shooting angle of terminal described in Ying Yu.
Further, at least one sensor information, comprising: gyroscope information, depth transducer information or infrared
Sensor information.
In a kind of possible embodiment, the method also includes:
The angular interval predetermined angle area corresponding with current car damage identification scene belonging to the current shooting angle
Between it is inconsistent when, the terminal changes shooting button form or blocks shooting function.
In a kind of possible embodiment, first prompt information be voice messaging, text information, image information and
At least one of vibration information；And/or
Second prompt information is at least one of voice messaging, text information, image information and vibration information.
Second aspect, provides a kind of device for controlling shooting angle, and device includes:
Determination unit utilizes neural network point trained in advance for obtaining preview image, and according to the preview image
Class model determines angular interval belonging to current shooting angle；
First output unit, for angular interval belonging to the current shooting angle when determination unit determination and currently
Car damage identification scene corresponding predetermined angle section when being consistent, export the first prompt information, first prompt information is used
It can be shot in prompting user；
Second output unit, for angular interval belonging to the current shooting angle when determination unit determination and currently
The corresponding predetermined angle section of car damage identification scene it is inconsistent when, export the second prompt information, second prompt information
For reminding user that shooting angle is improper, and user is reminded to need to convert shooting angle.
The third aspect provides a kind of computer readable storage medium, is stored thereon with computer program, when the calculating
When machine program executes in a computer, enable computer execute first aspect method.
Fourth aspect provides a kind of calculating equipment, including memory and processor, and being stored in the memory can hold
Line code, when the processor executes the executable code, the method for realizing first aspect.
The method and apparatus provided by this specification embodiment, terminal obtain preview image, and according to the preview graph
As determining angular interval belonging to the current shooting angle of the terminal first with neural network classification model trained in advance, so
The predetermined angle section corresponding with current car damage identification scene of the angular interval according to belonging to the current shooting angle is afterwards
It is no to be consistent, to export corresponding prompt information, specifically, the angular interval belonging to the current shooting angle and current
Car damage identification scene corresponding predetermined angle section when being consistent, the terminal exports the first prompt information, and described first mentions
Show information for reminding user that can shoot；Angular interval and current car damage identification field belonging to the current shooting angle
When the corresponding predetermined angle section of scape is inconsistent, the terminal exports the second prompt information, and second prompt information is used for
It reminds user's shooting angle improper, and user is reminded to need to convert shooting angle.Therefore this specification embodiment mentions
The method and apparatus of confession, terminal obtain preview image, find shooting angle problem by intelligent algorithm, and remind use in time
Family needs to adjust shooting angle, can control shooting angle by the interaction of terminal and user, so that the photo of shooting be made to meet
Demand to car damage identification.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment
Attached drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this
For the those of ordinary skill of field, without creative efforts, it can also be obtained according to these attached drawings others
Attached drawing.
Fig. 1 is the implement scene schematic diagram of one embodiment that this specification discloses；
Fig. 2 shows the method flow diagrams according to the control shooting angle of one embodiment；
Fig. 3 shows the user according to one embodiment and the interaction schematic diagram of terminal；
Fig. 4 shows the schematic block diagram of the device of the control shooting angle according to one embodiment.
Specific embodiment
With reference to the accompanying drawing, the scheme provided this specification is described.
Fig. 1 is the implement scene schematic diagram of one embodiment that this specification discloses.As shown in Figure 1, the implement scene is
Car damage identification scene in vehicle insurance Claims Resolution.11 using terminal 12 of user shoots vehicle 13, and the image of shooting is used for vehicle
13 carry out setting loss.Due in car damage identification scene to image include in have specific requirement, correspondingly, to shooting angle
There is specific requirement.As an example, if 12 face of terminal or close to face vehicle damage surface, and terminal 12 keeps horizontal
Or close to horizontality, then angle is suitable at this time.If terminal 12 is shot from top to bottom, or perpendicular terminal 12 of holding is shot, then at this time
Angle is improper.It is understood that above-mentioned shooting angle is plane and vehicle where the camera of terminal 12 when shooting image
Angle between 13 vehicle damage surface.In a typical implement scene, shooting process is divided into vista shot and close
Scape shoots two steps.It needs to shoot in vista shot to understand damage location overall picture, needs to shoot clear damage in close shot shooting
Details.
It should be noted that above-mentioned terminal 12 can be any with camera and with the terminal of processing function, for example,
Mobile phone or plate, this specification embodiment do not limit this.
In addition, for the definition of shooting angle definition mode shown in Fig. 1 can be not limited to there are many mode.
In one or more embodiments that this specification discloses, a kind of improved terminal 12 is provided and is shot.It shot
Shooting angle is estimated according to the information of picture using intelligent algorithm in journey, alternatively, according to picture, gyroscope, depth
Degree sensor and the information of infrared sensor estimates shooting angle, helps to improve the accurate of vista shot and close shot shooting
Degree.It is reminded and is stopped when finding that shooting angle is improper.Reminded contents include: voice or text, image or shake
Dynamic prompting, informing photographer's angle, there are problems, and inform and need to convert shooting angle.Obstruction includes: change shooting button
Form blocks shooting function.Remind user that can shoot when shooting angle is suitble to.
It should be noted that above-mentioned implement scene is only the method for the control shooting angle that this specification embodiment provides
A kind of possible implement scene, is not intended as the restriction to this specification embodiment implement scene.For example, the control shooting angle
Method can be used for the car damage identification scene of car to car impact, also can be applied to the car damage identification scene to shunt into one another, shoot
Image in can only include a vehicle, also may include more vehicles, this specification embodiment does not limit this.
Fig. 2 shows the method flow diagram according to the control shooting angle of one embodiment, the executing subject of this method can be with
It is terminal 12 shown in FIG. 1.As shown in Fig. 2, the method for shooting angle is controlled in the embodiment the following steps are included: step 21,
Terminal obtains preview image, and determines the terminal using neural network classification model trained in advance according to the preview image
Current shooting angle belonging to angular interval；Step 22, the angular interval belonging to the current shooting angle and current
When the corresponding predetermined angle section of car damage identification scene is consistent, the terminal exports the first prompt information, first prompt
Information is for reminding user that can shoot；Step 23, angular interval and current vehicle belonging to the current shooting angle
When the corresponding predetermined angle section of setting loss scene is inconsistent, the terminal exports the second prompt information, the second prompt letter
Breath is for reminding user that shooting angle is improper, and user is reminded to need to convert shooting angle.Above each step is described below
Rapid specific executive mode.
First in step 21, terminal obtains preview image, and utilizes nerve net trained in advance according to the preview image
Network disaggregated model determines angular interval belonging to the current shooting angle of the terminal.Optionally, the neural network classification mould
Type is based on training sample and trains in advance, and the training sample includes the multiple images under car damage identification scene, each image tool
There is the label in proven shooting angle section.
Above-mentioned label can be divided at least two classes.
In one example, above-mentioned label includes the first label and the second label.Wherein, the first label represents angle conjunction
It is suitable, that is to say, that the corresponding angular interval of the first label is suitable shooting angle section, when the terminal is according to preview image
Determine that angular interval belonging to the current shooting angle of the terminal is first using neural network classification model trained in advance
When label, the predetermined angle section phase corresponding with current car damage identification scene of angular interval belonging to the current shooting angle
Meet, i.e., shooting angle at this time meets the demand of car damage identification.It is improper that second label represents angle, that is to say, that second
The corresponding angular interval of label is inappropriate shooting angle section, when the terminal utilizes training in advance according to preview image
It is described current when neural network classification model determines that angular interval belonging to the current shooting angle of the terminal is the second label
The predetermined angle section corresponding with current car damage identification scene of angular interval belonging to shooting angle is inconsistent, i.e., at this time
Shooting angle does not meet the demand of car damage identification.As an example, if camera face or close to face vehicle damage surface, and
Camera keeps horizontal or close to horizontality, then angle is suitable at this time.If camera is shot from top to bottom, or perpendicular camera of holding is clapped
It takes the photograph, then angle is improper at this time.
In another example, above-mentioned label includes label A, label B, label C and label D.Wherein, label A is corresponding
Shooting angle section is denoted as angular interval A, and the corresponding shooting angle section of label B is denoted as angular interval B, the corresponding bat of label C
It takes the photograph angular interval and is denoted as angular interval C, the corresponding shooting angle section label D is denoted as angular interval D.Angular interval A's is averaged
Average angle of average angle of the angle less than angular interval B less than angular interval C is less than the average angle of angular interval D.
It is understood that the number and meaning of label can be set according to the demand of car damage identification, it is not limited on
State example.
In one example, the terminal obtains preview image, using the preview image as the neural network classification
The input of model determines the corresponding tag along sort of the preview image, the contingency table using the neural network classification model
Label correspond to angular interval belonging to the current shooting angle of the terminal.
Optionally, the neural network classification model is based on training sample and trains in advance, and the training sample includes vehicle
Multiple images under setting loss scene and at least one sensor information with the associated terminal of each image, each image tool
There is the label in proven shooting angle section.
Correspondingly, in another example, the terminal obtains at least one sensing of preview image and the terminal
Device information；Using at least one sensor information of the preview image and the terminal as the neural network classification model
Input determines that the corresponding tag along sort of the preview image, the tag along sort are corresponding using the neural network classification model
The angular interval belonging to the current shooting angle of the terminal.
Wherein, at least one sensor information, comprising: gyroscope information, depth transducer information or infrared sensing
Device information.
Then in step 22, the angular interval belonging to the current shooting angle is corresponding with current car damage identification scene
Predetermined angle section when being consistent, the terminal exports the first prompt information, and first prompt information is for reminding user
It can shoot.It is understood that the number in above-mentioned predetermined angle section can be equal to the mark of aforementioned neurological network class model
The number of label, alternatively, the number in above-mentioned predetermined angle section might be less that the number of the label of aforementioned neurological network class model
Mesh.
In one example, the car damage identification scene includes vista shot scene and close shot photographed scene；When the vehicle
When setting loss scene is vista shot scene, the predetermined angle section is set as first angle section；When the car damage identification
When scene is close shot photographed scene, the predetermined angle section is set as second angle section.
It is understood that first angle section can be set to the corresponding shooting angle area of a label in multiple labels
Between；Second angle section can be set to the corresponding shooting angle section of a label in multiple labels, that is to say, that Ke Yishe
It is identical with second angle section to set first angle section, it is different from second angle section that first angle section also can be set.
Wherein, first prompt information can in voice messaging, text information, image information and vibration information extremely
Few one kind.
Finally in step 23, the angular interval belonging to the current shooting angle is corresponding with current car damage identification scene
Predetermined angle section it is inconsistent when, the terminal exports the second prompt information, and second prompt information is used for reminding
Family shooting angle is improper, and user is reminded to need to convert shooting angle.Wherein, second prompt information can be voice
At least one of information, text information, image information and vibration information.
In one example, the angular interval belonging to the current shooting angle is corresponding with current car damage identification scene
Predetermined angle section it is inconsistent when, the terminal can also change shooting button form or block shooting function.
In one example, when the angle mean value of the affiliated angular interval is greater than the angle mean value in predetermined angle section
When, the terminal exports the second prompt information, and second prompt information is to remind user to reduce shooting angle；When the institute
When the angle mean value of the angular interval of category is less than the angle mean value in predetermined angle section, the terminal exports the second prompt information,
Second prompt information is to remind user to increase shooting angle.For example, if step 21 neural network classification model determines institute
The label of the angular interval of category is aforementioned label A, and be at this time the corresponding predetermined angle section of car damage identification scene is aforementioned mark
The corresponding angular interval of B is signed, then the terminal exports the second prompt information, and second prompt information is to remind user to increase
Shooting angle.
It should be noted that meeting car damage identification field if the initial shooting angle of terminal in this specification embodiment
The demand of scape (such as close shot shooting) then adjusts the shooting angle of terminal without user.In addition, user is primary after step 23
The shooting angle of adjustment terminal may still not meet the demand of car damage identification scene (such as close shot shooting), then will be again
Step 23 is executed, until the shooting angle of user's adjustment terminal meets the demand of car damage identification scene (such as close shot shooting).
Fig. 3 shows the user according to one embodiment and the interaction schematic diagram of terminal.Referring to Fig. 3, terminal is tested using angle
Algorithm is demonstrate,proved according to the demand of car damage identification scene (such as close shot shooting), exports prompt information, which uses for prompting
Family operation, for example, user is reminded to convert shooting angle, user abides by guidance shooting according to prompt operation, by user it is primary or
Repeatedly after adjustment shooting angle, terminal determines that shooting angle meets the demand of car damage identification scene (such as close shot shooting), output
Prompt information, the prompt information is for prompting user's operation, for example, reminding user that can shoot.Wherein, for close shot shooting and
The preset predetermined angle section of vista shot may be the same or different, and this specification embodiment does not limit this.
The method provided by this specification embodiment, terminal obtain preview image, and first sharp according to the preview image
Angular interval belonging to the current shooting angle of the terminal is determined with neural network classification model trained in advance, then basis
Whether the predetermined angle section corresponding with current car damage identification scene of angular interval belonging to the current shooting angle is consistent
It closes, to export corresponding prompt information, specifically, angular interval and current vehicle belonging to the current shooting angle
When the corresponding predetermined angle section of setting loss scene is consistent, the terminal exports the first prompt information, first prompt information
For reminding user that can shoot；The angular interval belonging to the current shooting angle is corresponding with current car damage identification scene
Predetermined angle section it is inconsistent when, the terminal exports the second prompt information, and second prompt information is used for reminding
Family shooting angle is improper, and user is reminded to need to convert shooting angle.Therefore the side that this specification embodiment provides
Method, terminal obtain preview image, find shooting angle problem by intelligent algorithm, and remind user that adjustment is needed to clap in time
Angle is taken the photograph, shooting angle can be controlled by the interaction of terminal and user, so that the photo of shooting be made to meet to car damage identification
Demand.
According to the embodiment of another aspect, a kind of device for controlling shooting angle is also provided.Fig. 4 is shown to be implemented according to one
The schematic block diagram of the device of the control shooting angle of example.As shown in figure 4, the device 400 includes:
Determination unit 41 utilizes neural network trained in advance for obtaining preview image, and according to the preview image
Disaggregated model determines angular interval belonging to current shooting angle；
First output unit 42, for when the determination unit 41 determine current shooting angle belonging to angular interval with
When the corresponding predetermined angle section of current car damage identification scene is consistent, the first prompt information, the first prompt letter are exported
Breath is for reminding user that can shoot；
Second output unit 43, for when the determination unit 41 determine current shooting angle belonging to angular interval with
When the corresponding predetermined angle section of current car damage identification scene is inconsistent, the second prompt information, second prompt are exported
Information is used to remind user that shooting angle is improper, and user is reminded to need to convert shooting angle.
In one example, the car damage identification scene includes vista shot scene and close shot photographed scene；
Described device further include:
Setup unit, for setting the predetermined angle section when the car damage identification scene is vista shot scene
For first angle section；When the car damage identification scene is close shot photographed scene, the predetermined angle section is set as second
Angular interval.
In one example, the neural network classification model is based on training sample and trains in advance, the training sample
Including the multiple images under car damage identification scene, each image has the label in proven shooting angle section.
In one example, the determination unit 41 is specifically used for using the preview image as the neural network point
The input of class model determines the corresponding tag along sort of the preview image, the classification using the neural network classification model
Label corresponds to angular interval belonging to current shooting angle.
In one example, the determination unit 41, specifically for by least the one of the preview image and the terminal
Input of the kind sensor information as the neural network classification model, is determined described pre- using the neural network classification model
The corresponding tag along sort of image of looking at, the tag along sort correspond to angular interval belonging to current shooting angle.
Further, at least one sensor information, comprising: gyroscope information, depth transducer information or infrared
Sensor information.
In one example, described device further include:
Blocking unit, for angular interval belonging to the current shooting angle when the determination unit 41 determination and currently
When the corresponding predetermined angle section of car damage identification scene is inconsistent, changes shooting button form or block shooting function.
In one example, the first prompt information that first output unit 42 exports be voice messaging, text information,
At least one of image information and vibration information；And/or
The second prompt information that second output unit 43 exports is voice messaging, text information, image information and shake
At least one of dynamic information.
The device provided by this specification embodiment first obtains preview image by determination unit 41, and according to described pre-
Image of looking at determines angular interval belonging to current shooting angle using neural network classification model trained in advance, then by first
Output unit 42 works as angular interval belonging to the current shooting angle that the determination unit 41 determines and current car damage identification field
When the corresponding predetermined angle section of scape is consistent, the first prompt information is exported, first prompt information is for reminding user can
With shooting；Or as the second output unit 43 when the determination unit 41 determine current shooting angle belonging to angular interval with
When the corresponding predetermined angle section of current car damage identification scene is inconsistent, the second prompt information, second prompt are exported
Information is used to remind user that shooting angle is improper, and user is reminded to need to convert shooting angle.Therefore this specification
The device that embodiment provides, terminal obtain preview image, find shooting angle problem by intelligent algorithm, and remind in time
User needs to adjust shooting angle, can control shooting angle by the interaction of terminal and user, to keep the photo of shooting full
Demand of the foot to car damage identification.
In one or more embodiments of this specification, from the letter of image, gyroscope, depth transducer and infrared sensor
Breath estimates camera posture, and is verified by the relative positional relationship of vehicle and camera to shooting angle.Verifying knot
Fruit adjusts the angle to determine how prompt user, by prompting user's operation to achieve the effect that promote shooting quality.
According to the embodiment of another aspect, a kind of computer readable storage medium is also provided, is stored thereon with computer journey
Sequence enables computer execute and combines method described in Fig. 2 and Fig. 3 when the computer program executes in a computer.
According to the embodiment of another further aspect, a kind of calculating equipment, including memory and processor, the memory are also provided
In be stored with executable code, when the processor executes the executable code, realize the method in conjunction with described in Fig. 2 and Fig. 3.
Those skilled in the art are it will be appreciated that in said one or multiple examples, function described in the invention
It can be realized with hardware, software, firmware or their any combination.It when implemented in software, can be by these functions
Storage in computer-readable medium or as on computer-readable medium one or more instructions or code transmitted.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all any modification, equivalent substitution, improvement and etc. on the basis of technical solution of the present invention, done should all
Including within protection scope of the present invention.
Claims (18)
1. a kind of method for controlling shooting angle, which comprises
Terminal obtains preview image, and according to preview image utilization neural network classification model determination trained in advance
Angular interval belonging to the current shooting angle of terminal；
The angular interval predetermined angle section phase corresponding with current car damage identification scene belonging to the current shooting angle
When meeting, the terminal exports the first prompt information, and first prompt information is for reminding user that can shoot；
The angular interval predetermined angle section corresponding with current car damage identification scene belonging to the current shooting angle is not
When being consistent, the terminal exports the second prompt information, and second prompt information is used to remind user that shooting angle is improper,
And user is reminded to need to convert shooting angle.
2. the method for claim 1, wherein the car damage identification scene includes vista shot scene and close shot shooting field
Scape；
The method also includes:
When the car damage identification scene is vista shot scene, the predetermined angle section is set as first angle section；
When the car damage identification scene is close shot photographed scene, the predetermined angle section is set as second angle section.
3. the method for claim 1, wherein the neural network classification model is based on training sample and trains in advance,
The training sample includes the multiple images under car damage identification scene, and each image is with proven shooting angle section
Label.
4. the method for claim 1, wherein described utilize neural network point trained in advance according to the preview image
Class model determines angular interval belonging to the current shooting angle of the terminal, comprising:
Using the preview image as the input of the neural network classification model, determined using the neural network classification model
The corresponding tag along sort of the preview image, the tag along sort correspond to angle belonging to the current shooting angle of the terminal
Section.
5. the method for claim 1, wherein the method also includes:
The terminal obtains at least one sensor information of the terminal；
The current shooting for determining the terminal using neural network classification model trained in advance according to the preview image
Angular interval belonging to angle, comprising:
Using at least one sensor information of the preview image and the terminal as the defeated of the neural network classification model
Enter, determines that the corresponding tag along sort of the preview image, the tag along sort correspond to using the neural network classification model
Angular interval belonging to the current shooting angle of the terminal.
6. method as claimed in claim 5, wherein at least one sensor information, comprising: gyroscope information, depth
Sensor information or infrared sensor information.
7. the method for claim 1, wherein the method also includes:
The angular interval predetermined angle section corresponding with current car damage identification scene belonging to the current shooting angle is not
When being consistent, the terminal changes shooting button form or blocks shooting function.
8. the method as described in any one of claims 1 to 7, wherein first prompt information is voice messaging, text letter
At least one of breath, image information and vibration information；And/or
Second prompt information is at least one of voice messaging, text information, image information and vibration information.
9. a kind of device for controlling shooting angle, described device include:
Determination unit utilizes neural network classification mould trained in advance for obtaining preview image, and according to the preview image
Type determines angular interval belonging to current shooting angle；
First output unit, for working as angular interval belonging to the current shooting angle that the determination unit determines and current vehicle
When the corresponding predetermined angle section of setting loss scene is consistent, the first prompt information is exported, first prompt information is for mentioning
Awake user can shoot；
Second output unit, for working as angular interval belonging to the current shooting angle that the determination unit determines and current vehicle
When the corresponding predetermined angle section of setting loss scene is inconsistent, the second prompt information is exported, second prompt information is used for
It reminds user's shooting angle improper, and user is reminded to need to convert shooting angle.
10. device as claimed in claim 9, wherein the car damage identification scene includes vista shot scene and close shot shooting
Scene；
Described device further include:
Setup unit, for setting the predetermined angle section as the when the car damage identification scene is vista shot scene
One angular interval；When the car damage identification scene is close shot photographed scene, the predetermined angle section is set as second angle
Section.
11. device as claimed in claim 9, wherein the neural network classification model is based on training sample and trains in advance,
The training sample includes the multiple images under car damage identification scene, and each image is with proven shooting angle section
Label.
12. device as claimed in claim 9, wherein the determination unit is specifically used for the preview image as described in
The input of neural network classification model determines the corresponding contingency table of the preview image using the neural network classification model
Label, the tag along sort correspond to angular interval belonging to the current shooting angle of the terminal.
13. device as claimed in claim 9, wherein the determination unit is specifically used for obtaining preview image and at least one
Sensor information；Using the preview image and at least one sensor information as the defeated of the neural network classification model
Enter, determines that the corresponding tag along sort of the preview image, the tag along sort correspond to using the neural network classification model
Angular interval belonging to current shooting angle.
14. device as claimed in claim 13, wherein at least one sensor information, comprising: gyroscope information, depth
Spend sensor information or infrared sensor information.
15. device as claimed in claim 9, wherein described device further include:
Blocking unit, it is fixed for working as angular interval belonging to the current shooting angle that the determination unit determines and current vehicle
When the corresponding predetermined angle section of damage scene is inconsistent, changes shooting button form or block shooting function.
16. the device as described in any one of claim 9 to 15, wherein the first prompt of the first output unit output
Information is at least one of voice messaging, text information, image information and vibration information；And/or
Second prompt information of the second output unit output is voice messaging, text information, image information and vibration information
At least one of.
17. a kind of computer readable storage medium, is stored thereon with computer program, when the computer program in a computer
When execution, computer perform claim is enabled to require the method for any one of 1-8.
18. a kind of calculating equipment, including memory and processor, executable code, the processing are stored in the memory
When device executes the executable code, the method for any one of claim 1-8 is realized.
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