CN116664379A - Oblique photographic image loading method, system, device, equipment and storage medium - Google Patents
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Abstract
The disclosure provides a method, a system, a device, equipment and a storage medium for loading oblique photographic images, and relates to the technical field of computers. The modeling data is calibrated based on the standard data and the preset standard formula, so that calibrated modeling data is obtained, and then the calibrated modeling data is sent to an application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the fact that the application party obtains uncalibrated modeling data is avoided, and loading efficiency is improved.
Description
Technical Field
The disclosure relates to the field of computer technology, and in particular, to a method, a system, a device, equipment and a storage medium for loading oblique photographic images.
Background
The oblique photography technology utilizes the unmanned aerial vehicle to synchronously acquire image information at multiple visual angles, integrates advanced positioning, fusing, modeling and other technologies, and efficiently and rapidly generates a real three-dimensional city model with lower economic and time cost.
However, in the application process of the oblique photography technology, the modeling data is usually excessively heavy in rendering task and longer in rendering time delay due to the excessively large amount of modeling data.
Disclosure of Invention
The present disclosure provides a method, system, apparatus, device, and storage medium for loading oblique photography images, which overcome, at least to some extent, the problem of lower rendering efficiency in the current oblique photography technology application process.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to one aspect of the present disclosure, there is provided a oblique photographic image loading method including:
acquiring a loading data request, wherein the loading data request comprises a coordinate data identifier and an image display angle data identifier;
acquiring modeling data based on the loading data request;
calibrating the modeling data based on the standard data and a preset calibration formula to obtain calibrated modeling data;
and sending the calibrated modeling data to an application party so that the application party loads the calibrated modeling data.
In one embodiment of the present disclosure, calibrating modeling data based on standard data and a preset calibration formula to obtain calibrated modeling data includes:
Determining offset data of the modeling data based on the coordinate data in the modeling data and the display angle data and the coordinate data in the standard data and the display angle data;
and calibrating the modeling data based on the offset data and a preset standard formula to obtain calibrated modeling data.
In one embodiment of the present disclosure, the offset data includes an offset angle, an offset ratio, and an offset length;
the preset standard formula is as follows:
wherein ,the coordinate values are calibrated, m is the offset ratio, θ is the offset angle, x and y are the coordinates in the modeling data, c is the offset length in the x direction, and f is the offset length in the y direction.
In one embodiment of the present disclosure, after calibrating the modeling data based on the standard data and the preset calibration formula, the method further includes:
determining invalid data in the modeling data based on the calibrated modeling data;
cleaning invalid data in the modeling data to obtain cleaned modeling data;
transmitting the calibrated modeling data to an application party so that the application party loads the calibrated modeling data, wherein the method comprises the following steps of:
and sending the cleaned modeling data to an application party so that the application party loads the cleaned modeling data.
In one embodiment of the present disclosure, calibrating modeling data based on standard data and a preset calibration formula to obtain calibrated modeling data includes:
and inputting the modeling data into a calibration model containing standard data and a preset standard formula to obtain calibrated modeling data.
In one embodiment of the present disclosure, before inputting the modeling data into the calibration model including the standard data and the preset standard formula, the method further includes:
training the calibration model based on the historical modeling data and the modeling data after the historical calibration;
and obtaining a calibration model after training meets the preset conditions.
According to another aspect of the present disclosure, there is provided a oblique photography image loading system including a database, a processing server, and an application side;
the application side is used for sending a data loading request to the processing server, and loading the data based on the calibrated modeling data after obtaining the calibrated modeling data sent by the processing server;
the processing server is used for acquiring modeling data from the database based on the loading data request, calibrating the modeling data based on the standard data and a preset calibration formula to obtain calibrated modeling data, and sending the calibrated modeling data to an application party.
According to still another aspect of the present disclosure, there is provided a oblique photographic image loading device including:
the first acquisition module is used for acquiring a loading data request, wherein the loading data request comprises a coordinate data identifier and an image display angle data identifier;
the second acquisition module is used for acquiring modeling data based on the loading data request;
the calibration module is used for calibrating the modeling data based on the standard data and a preset calibration formula to obtain calibrated modeling data;
and the sending module is used for sending the calibrated modeling data to an application party so that the application party loads the calibrated modeling data.
In one embodiment of the present disclosure, a calibration module includes:
a determining unit configured to determine offset data of the modeling data based on the coordinate data and the display angle data in the modeling data and the coordinate data and the display angle data in the standard data;
the first calibration unit is used for calibrating the modeling data based on the offset data and a preset standard formula to obtain calibrated modeling data.
In one embodiment of the present disclosure, the offset data includes an offset angle, an offset ratio, and an offset length;
the preset standard formula is as follows:
wherein ,the coordinate values are calibrated, m is the offset ratio, θ is the offset angle, x and y are the coordinates in the modeling data, c is the offset length in the x direction, and f is the offset length in the y direction.
In one embodiment of the present disclosure, the apparatus further comprises: the determining module is used for determining invalid data in the modeling data based on the calibrated modeling data after calibrating the modeling data based on the standard data and a preset calibration formula to obtain the calibrated modeling data;
the cleaning module is used for cleaning invalid data in the modeling data to obtain cleaned modeling data;
a transmission module comprising:
and the sending unit is used for sending the cleaned modeling data to the application party so that the application party loads the cleaned modeling data.
In one embodiment of the present disclosure, a calibration module includes: the second calibration unit is used for inputting the modeling data into a calibration model containing standard data and a preset standard formula to obtain calibrated modeling data.
In one embodiment of the present disclosure, the apparatus further comprises:
the training module is used for training the calibration model based on the historical modeling data and the historical calibrated modeling data before inputting the modeling data into the calibration model comprising the standard data and a preset standard formula to obtain the calibrated modeling data;
And the judging module is used for obtaining a calibration model after training is completed after the training meets the preset conditions.
According to still another aspect of the present disclosure, there is provided an electronic apparatus including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the above-described oblique photography image loading method via execution of the executable instructions.
According to still another aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described oblique photography image loading method.
According to the oblique photography image loading method, the loading data request is acquired, the modeling data is acquired based on the loading data request, the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
FIG. 1 illustrates a schematic diagram of a tilt-photographic image loading system in an embodiment of the present disclosure;
FIG. 2 is a flow chart of a method for loading oblique photographic images in an embodiment of the disclosure;
FIG. 3 is a flow chart illustrating another oblique photographic image loading method in an embodiment of the disclosure;
FIG. 4 is a flow chart illustrating a further exemplary method for loading oblique photographic images in accordance with an embodiment of the present disclosure;
FIG. 5 is a flow chart illustrating yet another oblique photographic image loading method in an embodiment of the disclosure;
FIG. 6 is a flow chart illustrating yet another oblique photographic image loading method in accordance with an embodiment of the present disclosure;
FIG. 7 illustrates a schematic diagram of a tilt-photographic image loading device in an embodiment of the present disclosure; and
fig. 8 shows a block diagram of an electronic device in an embodiment of the disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
With the development of oblique photography measurement technology and related requirements, oblique photography modeling is more common in projects, and the modeling range is wider and wider. Oblique photography techniques are widely used in modeling and high-precision presentation of urban geographic information to assist in related work. However, the geographic information modeling data volume after the oblique photography is built is huge, the rendering task of the model is heavy, and the problems of large operation volume of a server, high occupied memory and slow data loading exist in practice, so that the actual display and application effects are affected. Particularly in large and medium-sized projects, the platform system needs to integrate and present the business data and the modeling data uniformly, and the time delay for calling and processing the modeling data is even more than 30 seconds, so that the perception is poor.
How to effectively render large-scale, high-precision and true-to-texture oblique photographic models, so that the large-scale and high-precision oblique photographic models can be rapidly loaded and presented through common hardware equipment, and the method becomes a difficult problem needing to be faced and solved in the industry
In order to solve the above problems, embodiments of the present disclosure provide a method, system, apparatus, device, and storage medium for loading oblique photographic images.
For ease of understanding, the disclosed embodiments will first be described with respect to a oblique photography image loading system.
Fig. 1 shows a schematic diagram of a oblique photographic image loading system in an embodiment of the present disclosure.
As shown in fig. 1, the oblique photography image loading system 10 may include:
a database 11, a processing server 12, and an application 13;
an application side 13, configured to send a data loading request to the processing server 12, and load the data based on the calibrated modeling data after obtaining the calibrated modeling data sent by the processing server 12;
the processing server 12 is configured to obtain modeling data from the database 11 based on the loading data request, calibrate the modeling data based on the standard data and a preset calibration formula, obtain calibrated modeling data, and send the calibrated modeling data to the application party 13.
In some embodiments, the application 13 may include a terminal device and a client disposed on the terminal device.
The terminal device may be a variety of electronic devices including, but not limited to, smartphones, tablets, laptop portable computers, desktop computers, wearable devices, augmented reality devices, virtual reality devices, and the like.
Alternatively, the clients of the applications installed in different terminal devices are the same or clients of the same type of application based on different operating systems. The specific form of the application client may also be different based on the different terminal platforms, for example, the application client may be a mobile phone client, a PC client, etc.
In some embodiments, the processing server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs (Content Delivery Network, content delivery networks), and basic cloud computing services such as big data and artificial intelligence platforms. The terminal may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the present application is not limited herein.
In one embodiment, the medium used by the network to provide the communication link between the terminal device and the server may be a wired network or a wireless network.
Alternatively, the wireless network or wired network described above uses standard communication techniques and/or protocols. The network is typically the Internet, but may be any network including, but not limited to, a local area network (Local Area Network, LAN), metropolitan area network (Metropolitan Area Network, MAN), wide area network (Wide Area Network, WAN), mobile, wired or wireless network, private network, or any combination of virtual private networks. In some embodiments, data exchanged over a network is represented using techniques and/or formats including HyperText Mark-up Language (HTML), extensible markup Language (Extensible MarkupLanguage, XML), and the like. All or some of the links may also be encrypted using conventional encryption techniques such as secure sockets layer (Secure Socket Layer, SSL), transport layer security (Transport Layer Security, TLS), virtual private network (Virtual Private Network, VPN), internet protocol security (Internet ProtocolSecurity, IPsec), etc. In other embodiments, custom and/or dedicated data communication techniques may also be used in place of or in addition to the data communication techniques described above.
Based on the same inventive concept, a method for loading oblique photographic images is also provided in the embodiments of the present disclosure, as follows. Since the principle of solving the problem in this embodiment of the method is similar to that of the system embodiment described above, the implementation of this embodiment of the apparatus may refer to the implementation of the embodiment of the method described above, and the repetition is omitted.
Fig. 2 shows a flowchart of a method for loading oblique photographic images in an embodiment of the disclosure.
As shown in fig. 2, the oblique photography image loading method may include:
s210, acquiring a loading data request, wherein the loading data request comprises a coordinate data identifier and an image display angle data identifier.
In some embodiments, the load data request may also include a resolution data identification, a display interface size data identification.
In some embodiments, the load data request may include a request sent by the application party to the processing server, the load data request being generated based on the user's operating instructions after the application party receives the client's operating instructions.
In some embodiments, the coordinate data identification may include a coordinate data storage address or a coordinate data parameter.
In some embodiments, the image presentation angle data identification may include an image presentation data storage address or an image presentation data parameter.
S220, obtaining modeling data based on the loading data request.
In some embodiments, the modeling data may include raw data captured by unmanned aerial vehicle shots.
In some embodiments, the obtaining modeling data based on the loading data request includes obtaining coordinate data and image presentation angle data corresponding to the coordinate data identifier and the image presentation angle data identifier, respectively, based on the coordinate data identifier and the image presentation angle data identifier.
And S230, calibrating the modeling data based on the standard data and a preset calibration formula to obtain calibrated modeling data.
In some embodiments, the standard data may include data acquired by the network resource for calibrating the modeling data.
In some embodiments, the amount of data of the standard data is substantially smaller than the amount of data of the modeling data, the standard data being used for comparison with the corresponding modeling data, thereby obtaining deviation data of the modeling data.
And S240, transmitting the calibrated modeling data to an application party so that the application party loads the calibrated modeling data.
In some embodiments, loading the modeling data may include rendering the terminal device or terminal interface based on the modeling data.
According to the oblique photography image loading method, the loading data request is acquired, the modeling data is acquired based on the loading data request, the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
Fig. 3 shows a flowchart of another oblique photographic image loading method in an embodiment of the disclosure.
As shown in fig. 3, the oblique photography image loading method may include:
s310, acquiring a loading data request, wherein the loading data request comprises a coordinate data identifier and an image display angle data identifier.
S320, obtaining modeling data based on the loading data request.
S330, determining offset data of the modeling data based on the coordinate data in the modeling data and the coordinate data and the display angle data in the display angle data and the standard data.
In some embodiments, a small amount of standard data may be acquired, and then modeling data corresponding to the standard data is determined based on the acquired standard data, and offset data between the modeling data and the annotation data is determined.
In some embodiments, the offset data may include an offset angle, an offset ratio, and an offset length.
And S340, calibrating the modeling data based on the offset data and a preset standard formula to obtain calibrated modeling data.
In some embodiments, the preset standard formula is:
wherein ,the coordinate values are calibrated, m is the offset ratio, θ is the offset angle, x and y are the coordinates in the modeling data, c is the offset length in the x direction, and f is the offset length in the y direction.
In some embodiments, after determining the offset data, the offset data and the modeling data may be input into the above-mentioned preset standard formula to obtain calibrated modeling data.
And S350, sending the calibrated modeling data to an application party so that the application party loads the calibrated modeling data.
According to the oblique photography image loading method, the loading data request is acquired, the modeling data is acquired based on the loading data request, the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
Fig. 4 shows a flowchart of still another oblique photographic image loading method in an embodiment of the disclosure.
As shown in fig. 4, the oblique photography image loading method may include:
s410, acquiring a loading data request, wherein the loading data request comprises a coordinate data identifier and an image display angle data identifier.
S420, obtaining modeling data based on the loading data request.
And S430, calibrating the modeling data based on the standard data and a preset calibration formula to obtain calibrated modeling data.
S440, determining invalid data in the modeling data based on the calibrated modeling data.
In some embodiments, after determining the calibrated modeling data, modeling data outside of the calibrated modeling data may be determined as invalid data.
In some embodiments, the presence of duplicate calibrated modeling data may also be determined as invalid data.
S450, cleaning invalid data in the modeling data to obtain cleaned modeling data.
S460, sending the cleaned modeling data to an application party so that the application party loads the cleaned modeling data.
According to the oblique photography image loading method, the loading data request is acquired, the modeling data is acquired based on the loading data request, the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
Fig. 5 shows a flowchart of yet another oblique photographic image loading method in an embodiment of the disclosure.
As shown in fig. 5, the oblique photography image loading method may include:
s510, acquiring a loading data request, wherein the loading data request comprises a coordinate data identifier and an image display angle data label.
And S520, acquiring modeling data based on the loading data request.
S530, inputting the modeling data into a calibration model containing standard data and a preset standard formula to obtain calibrated modeling data.
In one embodiment, the calibration model may include a smart model.
In one embodiment, the standard data and the preset standard formula may be input into the intelligent model in advance, so as to obtain the intelligent model containing the standard data and the preset standard formula.
S540, the calibrated modeling data is sent to an application party, so that the application party loads the calibrated modeling data.
According to the oblique photography image loading method, the loading data request is acquired, the modeling data is acquired based on the loading data request, the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
Fig. 6 shows a flowchart of yet another oblique photographic image loading method in an embodiment of the disclosure.
As shown in fig. 6, the oblique photography image loading method may include:
s610, acquiring a loading data request, wherein the loading data request comprises a coordinate data identifier and an image display angle data identifier.
S620, obtaining modeling data based on the loading data request.
S630, training the calibration model based on the historical modeling data and the modeling data after the historical calibration.
And S640, obtaining a calibration model after training is completed after the training meets the preset conditions.
In some embodiments, the preset condition may include the resulting loss function value being greater than a preset threshold and the number of exercises satisfying a preset number of exercises.
S650, inputting the modeling data into a calibration model containing standard data and a preset standard formula to obtain calibrated modeling data.
In one embodiment, the calibration model may include a smart model.
In one embodiment, the standard data and the preset standard formula may be input into the intelligent model in advance, so as to obtain the intelligent model containing the standard data and the preset standard formula.
And S660, sending the calibrated modeling data to an application party so that the application party loads the calibrated modeling data.
According to the oblique photography image loading device provided by the embodiment of the disclosure, the modeling data is acquired through acquiring the loading data request, then the modeling data is acquired based on the loading data request, then the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and then the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
Based on the same inventive concept, there is also provided a tilt-photographing image loading apparatus in the embodiments of the present disclosure, as follows. Since the principle of solving the problem of the embodiment of the device is similar to that of the embodiment of the method, the implementation of the embodiment of the device can be referred to the implementation of the embodiment of the method, and the repetition is omitted.
A first obtaining module 710, configured to obtain a load data request, where the load data request includes a coordinate data identifier and an image display angle data identifier;
a second obtaining module 720, configured to obtain modeling data based on the loading data request;
the calibration module 730 is configured to calibrate the modeling data based on the standard data and a preset calibration formula, to obtain calibrated modeling data;
And the sending module 740 is configured to send the calibrated modeling data to the application party, so that the application party loads the calibrated modeling data.
According to the oblique photography image loading device provided by the embodiment of the disclosure, the modeling data is acquired through acquiring the loading data request, then the modeling data is acquired based on the loading data request, then the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and then the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
In one embodiment of the present disclosure, a calibration module includes:
a determining unit configured to determine offset data of the modeling data based on the coordinate data and the display angle data in the modeling data and the coordinate data and the display angle data in the standard data;
the first calibration unit is used for calibrating the modeling data based on the offset data and a preset standard formula to obtain calibrated modeling data.
According to the oblique photography image loading device provided by the embodiment of the disclosure, the modeling data is acquired through acquiring the loading data request, then the modeling data is acquired based on the loading data request, then the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and then the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
In one embodiment of the present disclosure, the offset data includes an offset angle, an offset ratio, and an offset length;
the preset standard formula is as follows:
wherein ,the coordinate values are calibrated, m is the offset ratio, θ is the offset angle, x and y are the coordinates in the modeling data, c is the offset length in the x direction, and f is the offset length in the y direction.
According to the oblique photography image loading device provided by the embodiment of the disclosure, the modeling data is acquired through acquiring the loading data request, then the modeling data is acquired based on the loading data request, then the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and then the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
In one embodiment of the present disclosure, the apparatus further comprises: the determining module is used for determining invalid data in the modeling data based on the calibrated modeling data after calibrating the modeling data based on the standard data and a preset calibration formula to obtain the calibrated modeling data;
The cleaning module is used for cleaning invalid data in the modeling data to obtain cleaned modeling data;
a transmission module comprising:
and the sending unit is used for sending the cleaned modeling data to the application party so that the application party loads the cleaned modeling data.
According to the oblique photography image loading device provided by the embodiment of the disclosure, the modeling data is acquired through acquiring the loading data request, then the modeling data is acquired based on the loading data request, then the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and then the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
In one embodiment of the present disclosure, a calibration module includes: the second calibration unit is used for inputting the modeling data into a calibration model containing standard data and a preset standard formula to obtain calibrated modeling data.
According to the oblique photography image loading device provided by the embodiment of the disclosure, the modeling data is acquired through acquiring the loading data request, then the modeling data is acquired based on the loading data request, then the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and then the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
In one embodiment of the present disclosure, the apparatus further comprises:
the training module is used for training the calibration model based on the historical modeling data and the historical calibrated modeling data before inputting the modeling data into the calibration model comprising the standard data and a preset standard formula to obtain the calibrated modeling data;
and the judging module is used for obtaining a calibration model after training is completed after the training meets the preset conditions.
According to the oblique photography image loading device provided by the embodiment of the disclosure, the modeling data is acquired through acquiring the loading data request, then the modeling data is acquired based on the loading data request, then the modeling data is calibrated based on the standard data and the preset standard formula, the calibrated modeling data is obtained, and then the calibrated modeling data is sent to the application party, so that the application party loads the calibrated modeling data, the problem of loading failure caused by the application party acquiring the uncalibrated modeling data is avoided, and the loading efficiency is improved.
Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 800 according to such an embodiment of the present disclosure is described below with reference to fig. 8. The electronic device 800 shown in fig. 8 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.
As shown in fig. 8, the electronic device 800 is embodied in the form of a general purpose computing device. Components of electronic device 800 may include, but are not limited to: the at least one processing unit 810, the at least one memory unit 820, and a bus 830 connecting the various system components, including the memory unit 820 and the processing unit 810.
Wherein the storage unit stores program code that is executable by the processing unit 810 such that the processing unit 810 performs steps according to various exemplary embodiments of the present disclosure described in the above section of the present specification. For example, the processing unit 810 may perform the following steps of the method embodiment described above:
acquiring a loading data request, wherein the loading data request comprises a coordinate data identifier and an image display angle data identifier;
acquiring modeling data based on the loading data request;
calibrating the modeling data based on the standard data and a preset calibration formula to obtain calibrated modeling data;
And sending the calibrated modeling data to an application party so that the application party loads the calibrated modeling data.
The storage unit 820 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 8201 and/or cache memory 8202, and may further include Read Only Memory (ROM) 8203.
Storage unit 820 may also include a program/utility 8204 having a set (at least one) of program modules 8205, such program modules 8205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 830 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 800 may also communicate with one or more external devices 840 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 800, and/or any device (e.g., router, modem, etc.) that enables the electronic device 800 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 850. Also, electronic device 800 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 860. As shown, network adapter 860 communicates with other modules of electronic device 800 over bus 830. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 800, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium, which may be a readable signal medium or a readable storage medium, is also provided. On which a program product is stored which enables the implementation of the method described above of the present disclosure. In some possible implementations, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.
More specific examples of the computer readable storage medium in the present disclosure may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In this disclosure, a computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Alternatively, the program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
In particular implementations, the program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
From the description of the above embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a mobile terminal, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A tilt-sensitive image loading method, comprising:
acquiring a loading data request, wherein the loading data request comprises a coordinate data identifier and an image display angle data identifier;
acquiring modeling data based on the loading data request;
calibrating the modeling data based on standard data and a preset calibration formula to obtain calibrated modeling data;
and sending the calibrated modeling data to an application party so that the application party loads the calibrated modeling data.
2. The oblique photography image loading method according to claim 1, wherein the calibrating the modeling data based on standard data and a preset calibration formula to obtain calibrated modeling data comprises:
determining offset data of modeling data based on coordinate data in the modeling data and coordinate data and presentation angle data in the presentation angle data and standard data;
and calibrating the modeling data based on the offset data and a preset standard formula to obtain calibrated modeling data.
3. The oblique photographic image loading method as claimed in claim 2, wherein the offset data includes an offset angle, an offset ratio, and an offset length;
The preset standard formula is as follows:
wherein ,and the coordinates are calibrated, m is an offset ratio, θ is an offset angle, x and y are coordinates in the modeling data, c is an offset length in the x direction, and f is an offset length in the y direction.
4. The oblique photographic image loading method as claimed in claim 1, wherein after the modeling data is calibrated based on standard data and a preset calibration formula to obtain calibrated modeling data, the method further comprises:
determining invalid data in the modeling data based on the calibrated modeling data;
cleaning invalid data in the modeling data to obtain cleaned modeling data;
the sending the calibrated modeling data to an application party so that the application party loads the calibrated modeling data comprises the following steps:
and sending the cleaned modeling data to an application party so that the application party loads the cleaned modeling data.
5. The oblique photography image loading method according to claim 1, wherein the calibrating the modeling data based on standard data and a preset calibration formula to obtain calibrated modeling data comprises:
And inputting the modeling data into a calibration model containing standard data and a preset standard formula to obtain calibrated modeling data.
6. The oblique photography image loading method of claim 5, wherein prior to the inputting the modeling data into the calibration model comprising standard data and a preset standard formula, the method further comprises:
training the calibration model based on historical modeling data and modeling data after historical calibration;
and obtaining a calibration model after training meets the preset conditions.
7. A oblique photographic image loading system, comprising: the system comprises a database, a processing server and an application party;
the application side is used for sending a data loading request to the processing server, and loading based on the calibrated modeling data after the calibrated modeling data sent by the processing server is obtained;
the processing server is used for acquiring modeling data from the database based on the loading data request, calibrating the modeling data based on standard data and a preset calibration formula to obtain calibrated modeling data, and sending the calibrated modeling data to the application party.
8. An oblique photographic image loading device, characterized by comprising:
the first acquisition module is used for acquiring a loading data request, wherein the loading data request comprises a coordinate data identifier and an image display angle data identifier;
the second acquisition module is used for acquiring modeling data based on the loading data request;
the calibration module is used for calibrating the modeling data based on standard data and a preset calibration formula to obtain calibrated modeling data;
and the sending module is used for sending the calibrated modeling data to an application party so that the application party loads the calibrated modeling data.
9. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the oblique photography image loading method of any of claims 1 to 7 via execution of the executable instructions.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the oblique photography image loading method according to any one of claims 1 to 7.
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| CN202310644793.XA CN116664379A (en) | 2023-06-01 | 2023-06-01 | Oblique photographic image loading method, system, device, equipment and storage medium |
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