CN115147628A - House image data processing method and device, terminal equipment and medium - Google Patents

House image data processing method and device, terminal equipment and medium Download PDF

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Publication number
CN115147628A
CN115147628A CN202211082020.9A CN202211082020A CN115147628A CN 115147628 A CN115147628 A CN 115147628A CN 202211082020 A CN202211082020 A CN 202211082020A CN 115147628 A CN115147628 A CN 115147628A
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image
target
house
field
source information
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CN115147628B (en
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陈涛涛
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Shenzhen Mingyuan Cloud Technology Co Ltd
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Shenzhen Mingyuan Cloud Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761Proximity, similarity or dissimilarity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23Updating
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/22Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition

Abstract

The invention discloses a house image data processing method, a house image data processing device, a terminal device and a medium, which relate to the technical field of image processing and comprise the following steps: acquiring a preset design drawing, and calling a camera device to shoot a target house according to the design drawing to obtain a first field image; determining each target abnormal area in the first field image according to the first field image and the design drawing, and adding each target abnormal area to a preset initial field plan to obtain a target field plan; converting the target field plane graph into a front-end canvas image, and judging whether the front-end canvas image is consistent with the first field image; if yes, binding the front-end canvas image with preset house source information, and editing the front-end canvas image according to the state information corresponding to the house source information to obtain a target front-end plan; and outputting the target front-end plan to a management terminal of the target house.

Description

House image data processing method and device, terminal equipment and medium
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to a method and an apparatus for processing house image data, a terminal device, and a computer-readable storage medium.
Background
With the development of real estate management technology, real estate management data composed of various house data, figures and text data play an increasingly important role in real estate management work, and meanwhile, the real estate management work is more standardized and normalized by the real estate management data.
However, the main working method adopted by the current real estate management work is still to display the house information through a plane graph or a CAD graph, and to manually record and maintain the renting and selling states of each house by using a table, wherein the house information is displayed through the plane graph or the CAD graph, when the house is divided into a plurality of parts by tenants, or when a merchant modifies the channel part of the house irregularly, the plane graph or the CAD graph cannot be updated in time, so that the real estate manager can only customize the whole plane graph or the CAD graph again to perform real estate management operation, and thus, the real estate management work lacks flexibility, and the real estate manager cannot manage the flexible aisle area in the house and is difficult to determine the division condition of the house. In the method of manually recording and maintaining the renting and selling state of each house by using the table, when a house is rented or sold, a real estate manager can only maintain the renting and selling state of each house by using a method of re-customizing various flow tables, and needs to update the plan view or the CAD view again after the maintenance of the renting and selling state of the house is completed, so that the situation that the correlation between the plan view display work and the management work of the renting and selling state in the house management work cannot be performed is caused.
Disclosure of Invention
The embodiment of the invention provides a house image data processing method, a house image data processing device, a terminal device and a computer readable storage medium, aiming at improving the flexibility of real estate management work and further associating plan view display work and rental and sale state management work in house management work.
The invention provides a processing method of house image data, which is applied to a terminal device provided with an image pickup device, and comprises the following steps:
acquiring a preset CAD design drawing, and calling the camera device to shoot a target house according to the CAD design drawing to obtain a first field image;
determining each target abnormal area in the first field image according to the first field image and the CAD design drawing, and adding each target abnormal area to a preset initial field plane drawing to obtain a target field plane drawing, wherein the initial field plane drawing is consistent with the CAD design drawing;
converting the target site plan into a front-end canvas image, and judging whether the front-end canvas image is consistent with the first site image;
if so, binding the front-end canvas image with preset each house source information, and editing the front-end canvas image according to the state information corresponding to each house source information to obtain a target front-end plan;
and outputting the target front-end plane diagram to a management terminal of the target house.
Further, the step of determining each target abnormal region in the first field image according to the first field image and the CAD design drawing includes:
carrying out segmentation recognition processing on the first field image to obtain a field image to be recognized;
and comparing the site image to be identified with the CAD design drawing to obtain a first comparison result, determining each abnormal area in the site image to be identified according to the first comparison result, and determining each abnormal area as each target abnormal area.
Further, after the step of editing the front-end canvas image according to the state information corresponding to each house source information to obtain the target front-end plan, the method further includes:
calling the camera device to shoot the target house according to the target front end plan to obtain a second field image;
judging whether the target front end plan and the second field image are consistent;
if not, determining the area to be updated of each target in the second field image based on the target front-end plane diagram, and acquiring real-time house source information corresponding to the area to be updated of each target;
and updating the target front-end plan according to the areas to be updated and the real-time room source information.
Further, after the step of determining whether the front end canvas image is consistent with the first live image, the method further comprises:
if the front-end canvas image is judged to be inconsistent with the first field image, detecting a front-end access page corresponding to the front-end canvas image;
and when detecting that the front-end access page receives the image editing parameters, updating the front-end canvas image according to the image editing parameters.
Further, the step of updating the front-end canvas image according to the image editing parameters comprises:
determining vertex coordinate data corresponding to each modification area contained in the image editing parameters;
and determining the position information of each modification area in the front-end canvas image according to the vertex coordinate data, and updating the front-end canvas image according to the position information.
Further, the step of updating the front-end canvas image according to the image editing parameter further comprises:
determining boundary point coordinate data corresponding to each modification area contained in the image editing parameters;
and determining the position information of each modification area in the front-end canvas image according to the coordinate data of each boundary point, and updating the front-end canvas image according to the position information.
Further, the method further comprises:
acquiring a preset house source information updating frequency, and detecting the binding time corresponding to each house source information in the target front-end plane graph according to the house source information updating frequency;
and when detecting that each bound time corresponds to the room source information updating frequency, acquiring real-time room source information corresponding to each room area in the target front-end plane graph, and updating the target front-end plane graph according to each real-time room source information.
Further, to achieve the above object, the present invention also provides a house image data processing apparatus applied to a terminal device provided with an image pickup apparatus, the apparatus including:
the image acquisition module is used for acquiring a preset CAD design drawing and calling the camera device to shoot a target house according to the CAD design drawing to obtain a first field image;
the image editing module is used for determining each target abnormal area in the first field image according to the first field image and the CAD design drawing and adding each target abnormal area to a preset initial field plane drawing to obtain a target field plane drawing, wherein the initial field plane drawing is consistent with the CAD design drawing;
the image comparison module is used for converting the target field plane graph into a front-end canvas image and judging whether the front-end canvas image is consistent with the first field image or not;
the image generation module is used for binding the front-end canvas image with preset house source information if the front-end canvas image is judged to be consistent with the first field image, and editing the front-end canvas image according to state information corresponding to the house source information to obtain a target front-end plan;
and the image output module is used for outputting the target front-end plan to a management terminal of the target house.
In addition, to achieve the above object, the present invention further provides a terminal device, including: a memory, a processor and a processing program of the house image data stored on the memory and executable on the processor, the processing program of the house image data realizing the steps of the processing method of the house image data as described above when executed by the processor.
Further, to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a house image data processing program which, when executed by a processor, realizes the steps of the house image data processing method as described above.
The house image data processing method, the house image data processing device, the terminal device and the computer readable storage medium are applied to the terminal device provided with the camera device, a preset CAD design drawing is obtained, and the camera device is called to shoot a target house according to the CAD design drawing to obtain a first field image; determining each target abnormal area in the first field image according to the first field image and the CAD design drawing, and adding each target abnormal area to a preset initial field plan to obtain a target field plan, wherein the initial field plan is consistent with the CAD design drawing; converting the target field plan into a front-end canvas image, and judging whether the front-end canvas image is consistent with the first field image; if yes, binding the front-end canvas image with preset house source information, and editing the front-end canvas image according to state information corresponding to the house source information to obtain a target front-end plan; and outputting the target front-end plane diagram to a management terminal of the target house.
In this embodiment, in the operation process of the terminal device, first, a CAD design stored in advance by a developer is obtained, the terminal device determines a shooting track based on the CAD design, meanwhile, the terminal device calls a camera device arranged in the terminal device, and controls the camera device to shoot a target property according to the shooting track to obtain a first field image, then, the terminal device uploads the captured first field image and the CAD design to an image processing system, the image processing system compares the first field image with the CAD design to determine each target abnormal area in the first field image, the terminal device adds each target abnormal area to a preset initial field plan consistent with the CAD design to obtain a target field plan, and then, the terminal device reads an image conversion tool preset by the developer, converting the target field plane image into a front-end canvas image by the image conversion tool, inputting the front-end canvas image and the first field image into an image processing system by the terminal device, judging whether the front-end canvas image is consistent with the first field image by the image processing system, reading a house source information database which is pre-stored by a developer and contains each house source information by the terminal device if the front-end canvas image is consistent with the first field image by the image processing system, binding each room area in the front-end canvas image with each house source information, reading state information corresponding to each house source information by the terminal device, editing the front-end canvas image according to each state information to obtain a target front-end plane image, and finally outputting the target front-end plane image to a management terminal bound with the target house by the terminal device, and the management terminal manages the target house based on the target front-end plan.
Therefore, the invention adopts the mode of determining each target abnormal area in the first field image according to the CAD design drawing, acquiring the target field plane drawing based on each target abnormal area, converting the target field plane drawing into the front-end canvas image, and binding the front-end canvas image with each house source information to generate the target front-end plane drawing, thereby achieving the technical effect of improving the flexibility of the real estate management work, and further relating the plane drawing display work in the house management work with the management work of renting and selling states.
Drawings
Fig. 1 is a schematic structural diagram of a terminal device in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of a method for processing image data of a house according to the present invention;
FIG. 3 is a flowchart illustrating a second embodiment of the method for processing image data of a house according to the present invention;
fig. 4 is a schematic diagram of image editing related to an embodiment of the method for processing image data of a house according to the present invention;
fig. 5 is a schematic diagram illustrating an image display according to an embodiment of a method for processing image data of a house of the present invention;
fig. 6 is a schematic diagram of functional modules involved in an embodiment of the method for processing house image data according to the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a terminal device in a hardware operating environment according to an embodiment of the present invention.
The terminal device according to the embodiment of the present invention may be a PC (Personal Computer) with a windows system integrated therein as an operating system, and certainly, the terminal device may also be other fixed terminal devices such as a server or mobile terminal devices such as a mobile phone and a tablet.
As shown in fig. 1, the terminal device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to implement connection communication among these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 is not limiting to the terminal device and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a data storage module, a network communication module, a user interface module, and a processing program of house image data.
In the terminal device shown in fig. 1, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the terminal device of the present invention may be provided in the terminal device, which calls the processing program of the house image data stored in the memory 1005 by the processor 1001 and executes the house image data processing method provided by the embodiment of the present invention.
Based on the terminal device, various embodiments of the house image data processing method of the present invention are provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a house image data processing method according to a first embodiment of the present invention.
It will be appreciated that although a logical order is shown in the flow chart, the method of processing house image data of the present invention may of course in some cases perform the steps shown or described in a different order than here.
In this embodiment, the method for processing the house image data according to the present invention may include the following steps:
step S10: acquiring a preset CAD design drawing, and calling the camera device to shoot a target house according to the CAD design drawing to obtain a first field image;
in this embodiment, when the terminal device is running, the storage device is first read to obtain a CAD design stored in advance by a developer, the terminal device determines a shooting track in a target house according to the CAD design, and controls the camera device arranged in the terminal device to shoot the target house along the shooting track to obtain a first live image.
Illustratively, for example, during operation of a terminal device, a storage module is first read to obtain a CAD design drawing which is stored in advance by a developer and contains design data in a target house, the terminal device inputs the CAD design drawing into an image acquisition module in the terminal device, the image acquisition module determines a shooting track of the terminal device in the target house based on the CAD design drawing, and at the same time, the terminal device moves along the shooting track and calls a camera group configured on the terminal device to shoot the target house to obtain a first live image.
Step S20: determining each target abnormal area in the first field image according to the first field image and the CAD design drawing, and adding each target abnormal area to a preset initial field plane drawing to obtain a target field plane drawing, wherein the initial field plane drawing is consistent with the CAD design drawing;
in this embodiment, the terminal device uploads the acquired first field image and CAD design drawing to an image processing system integrated in the terminal device, the image processing system compares the first field image and the CAD design drawing to determine each target abnormal region in the first field image, meanwhile, the terminal device reads the storage device to acquire an initial field plan which is pre-stored by the developer and is consistent with the CAD design drawing, and the terminal device adds each target abnormal region to the initial field plan to generate a target field plan.
Illustratively, for example, a terminal device uploads an acquired first field image and a CAD design drawing to an image processing system integrated in the terminal device, the image processing system performs image processing on the first field image by using an opencv tool pre-installed by a developer to obtain a field image to be recognized, then the image processing system compares the field image to be recognized with the CAD design drawing and determines abnormal regions in the field image to be recognized, the image processing system marks the abnormal regions as target abnormal regions respectively, meanwhile, the terminal device reads a storage device to obtain an initial field plan drawing generated by the developer in advance based on the CAD design drawing, then the terminal device inputs the acquired target abnormal regions and the initial field plan drawing to an image processing device in the terminal device, and the image processing device adds the target abnormal regions to the initial field plan drawing to generate a target field plan drawing.
Further, in a possible embodiment, the step S20 may specifically include:
step S201: carrying out segmentation recognition processing on the first field image to obtain a field image to be recognized;
in this embodiment, the terminal device uploads the acquired first live image to an image processing system integrated in the terminal device, and the image processing system calls an image recognition module to perform segmentation recognition processing on the first live image to obtain a live image to be recognized.
Step S202: comparing the site image to be identified with the CAD design drawing to obtain a first comparison result, determining each abnormal area in the site image to be identified according to the first comparison result, and determining each abnormal area as each target abnormal area;
in this embodiment, the terminal device uploads the obtained CAD design drawing and the field image to be recognized to an image processing system, the image processing system compares the CAD design drawing with the field image to be recognized, the image processing system determines, in the field image to be recognized, image feature information that is inconsistent with the CAD design drawing, and determines, according to the image feature information, abnormal regions in the field image to be recognized, and the terminal device further marks the abnormal regions as target abnormal regions.
Illustratively, for example, the terminal device uploads the obtained CAD design drawing and a first field image to an image processing system, the image processing system performs binarization and segmentation recognition processing on the first field image by using an opensource Vision-Computer Vision and machine learning software Library (opencv) tool preset by a developer, so as to obtain a field image to be recognized, which only contains a gray value of 0 or 1, and then the image processing system compares the field image to be recognized and the CAD design drawing and determines each target image feature information in the field image to be recognized, which is inconsistent with the CAD design drawing, the image processing system further determines each abnormal region in the field image to be recognized according to the position of each target image feature information, and the terminal device determines each abnormal region as a target abnormal region.
Step S30: converting the target site plan into a front-end canvas image, and judging whether the front-end canvas image is consistent with the first site image;
in this embodiment, the terminal device reads a front-end canvas tool stored by a developer in advance, and edits a target field plan by using the front-end canvas tool, so as to convert the target field plan into a front-end canvas image, and at the same time, the terminal device uploads the front-end canvas image and a first field image to an image processing system, and the image processing system compares the front-end canvas image with the first field image and judges whether the front-end canvas image is consistent with the first field image. Illustratively, for example, a terminal device reads a canvas tool stored by a developer in advance, the terminal device edits a target field plan by using the canvas tool, and at the same time, the terminal device obtains a drawImage parameter configured in the canvas tool by the developer, and reads an image parameter, an x parameter, a y parameter, a width parameter and a height parameter contained in the drawImage parameter, and then the terminal device arranges the target field plan on a front access page preset by the developer according to the image parameter, the x parameter, the y parameter, the width parameter and the height parameter so as to convert the target field plan into a front canvas image, and then the terminal device uploads the front canvas image and a first field image to an image processing system, and the image processing system compares the front canvas image with the first field image and determines whether the front canvas image is consistent with the first field image.
The image parameter included in the drawImage parameter may be an image parameter that is obtained by inputting a target field plan into the front-end access page by a main user, the x parameter and the y parameter may be coordinates of one vertex of a front-end canvas image generated by converting the target field plan in the access page, and the width parameter and the height parameter may be target size parameters of the front-end canvas image generated by converting the target field plan.
Further, in a possible embodiment, after the step S30, the method for processing the house image data according to the present invention may further include:
step A10: if the front-end canvas image is judged to be inconsistent with the first field image, detecting a front-end access page corresponding to the front-end canvas image;
in this embodiment, after generating a front-end canvas image, a terminal device uploads the front-end canvas image and a first field image to an image processing system, the image processing system compares the front-end canvas image with the first field image, when the image processing system determines that the front-end canvas image is inconsistent with the first field image, the terminal device reads a storage device to obtain an image editing console pre-stored by a developer, outputs the image editing console to a front-end access page corresponding to the front-end canvas image, and detects whether the front-end access page receives an image editing parameter.
Step A20: when the front-end access page is detected to receive image editing parameters, updating the front-end canvas image according to the image editing parameters;
in this embodiment, when detecting that the front-end access page receives the image editing parameter, the terminal device determines each modification area according to the image editing parameter, and updates each room area included in the front-end canvas image according to each modification area.
Illustratively, for example, after a terminal device generates a front canvas image, the terminal device uploads the front canvas image and a first field image to an image processing system, the image processing system compares the front canvas image with the first field image, and determines target image feature information in the front canvas image, the target image feature information being inconsistent with the front canvas image in the first field image, the image processing system further determines abnormal regions in the front canvas image according to positions of the target image feature information, meanwhile, the terminal device reads a storage device to obtain an image editing console pre-stored by a developer, the terminal device converts the image editing console into a visual control interface and outputs the image editing console to an access page, the terminal device detects the access page, and when detecting that the image editing console in the access page receives image editing parameters, the terminal device determines modification regions according to the image editing parameters, and updates room regions included in the front canvas image according to the modification regions.
It should be noted that, in this embodiment, please refer to fig. 4, fig. 4 is an image editing schematic diagram related to an embodiment of the house image data processing method of the present invention, where the image editing parameter may be coordinate data of each vertex manually selected by the landlord in the front-end canvas image by accessing a page, for example, coordinate data corresponding to points a, B, C, D, E, and F in room 219 shown in fig. 4, or may also be coordinate data of each boundary point manually selected by the landlord in the front-end canvas image, for example, coordinate data corresponding to each boundary point on a hypotenuse above room 202 shown in fig. 4.
Further, in a possible embodiment, the step of "updating the front-end canvas image according to the image editing parameters" in the step a20 may specifically include:
step A201: determining vertex coordinate data corresponding to each modification area contained in the image editing parameters;
in this embodiment, when detecting that the front-end access page receives an image editing parameter, the terminal device inputs each image editing parameter to a data processing apparatus configured in the terminal device, and the data processing apparatus extracts vertex coordinate data corresponding to each modified region from each image editing parameter.
Step A202: determining the position information of each modification area in the front-end canvas image according to each vertex coordinate data, and updating the front-end canvas image according to each position information;
in this embodiment, the terminal device inputs the acquired vertex coordinate data corresponding to each modification region to the data processing device, the data processing device determines the area value corresponding to each modification region and the position information on the front-end canvas image based on each vertex coordinate, and the terminal device updates the front-end canvas image according to the area value and the position information of each modification region.
Illustratively, for example, when detecting that an image editing console in an access page receives image editing parameters, a terminal device inputs each image editing parameter to a data processing device configured in the terminal device, the data processing device extracts vertex coordinate data (X1, Y1), (X2, Y2),. Once), (Xn, yn) corresponding to each modification region from each image editing parameter, the data processing device determines position information of each modification region in a front-end canvas image and an area value corresponding to each modification region according to each vertex coordinate data (X1, Y1), (X2, Y2),. Once), (Xn, yn), and the terminal device updates the front-end canvas image according to the area value and the position information of each modification region.
Further, in a possible embodiment, the step of "updating the front-end canvas image according to the image editing parameters" in the step a20 may specifically include:
step A203: determining boundary point coordinate data corresponding to each modification area contained in the image editing parameters;
in this embodiment, when detecting that the front-end access page receives an image editing parameter, the terminal device inputs each image editing parameter to a data processing device configured in the terminal device, and the data processing device extracts boundary point coordinate data corresponding to each modification area in each image editing parameter.
Step A204: determining the position information of each modification area in the front-end canvas image according to the coordinate data of each boundary point, and updating the front-end canvas image according to the position information;
in this embodiment, the terminal device inputs the acquired boundary point coordinate data corresponding to each modification region to the data processing device, the data processing device determines an area value corresponding to each modification region and position information on the front-end canvas image based on each vertex coordinate, and the terminal device updates the front-end canvas image according to the area value and the position information of each modification region.
Illustratively, for example, when detecting that an image editing console in an access page receives image editing parameters, a terminal device inputs each image editing parameter to a data processing device configured in the terminal device, the data processing device extracts boundary point coordinate data (X1, Y1), (X2, Y2),. Once), (Xn, yn) corresponding to each modification region from each image editing parameter, the data processing device determines position information of each modification region in a front-end canvas image and an area value corresponding to each modification region according to each boundary point coordinate data (X1, Y1), (X2, Y2),. Once), (Xn, yn), and the terminal device updates the front-end canvas image according to the area value and the position information of each modification region.
Step S40: if yes, binding the front-end canvas image with preset house source information, and editing the front-end canvas image according to state information corresponding to the house source information to obtain a target front-end plan;
in this embodiment, if it is determined that the front-end canvas image is consistent with the first field image, the terminal device reads the storage module to obtain an origin information database stored in advance by a developer, and binds each origin information contained in the origin information database with the front-end canvas image to generate the origin information, and meanwhile, the terminal device determines the state information corresponding to each origin information in the origin information database, and edits the front-end canvas image according to each state information to obtain a target front-end plan.
Illustratively, for example, a terminal device inputs a front canvas image and a first field image into an image processing system, the image processing system compares the front canvas image with the first field image, when the image processing system determines that the front canvas image is consistent with the first field image, the terminal device reads a storage device to obtain an house source information database stored in advance by a developer, and at the same time, the terminal device determines a house area corresponding to each house source information in the house source information database, the terminal device binds each house area in the front canvas image with each house source information according to each house source information and the house area corresponding to each house source information, and determines status information corresponding to each house source information in the house source information database, and then, the terminal device edits the front canvas image according to each status information to obtain a target front plane.
Please refer to fig. 5, and fig. 5 is an image display diagram related to an embodiment of a method for processing house image data according to the present invention, in this embodiment, when a terminal device edits a front-end canvas image, the terminal device may read colors of state information corresponding to house source information shown in fig. 4, and directly edit the front-end canvas image according to the colors to obtain a target front-end plan view shown in fig. 5.
Further, in a possible embodiment, after step S40, the method for processing the image data of the house according to the present invention may further include:
and step B10: calling the camera device to shoot the target house according to the target front end plan to obtain a second field image;
in this embodiment, the terminal device determines a shooting track in the target house according to the target front end plan, and controls the camera device arranged in the terminal device to shoot the target house along the shooting track to obtain the second live image.
Step B20: judging whether the target front end plan and the second field image are consistent;
in this embodiment, the terminal device uploads the acquired second live image and the target front end plan to the image processing system, and the image processing system compares the second live image with the target front end plan and determines whether the second live image is consistent with the target front end plan.
Step B30: if not, determining the area to be updated of each target in the second field image based on the target front-end plane diagram, and acquiring real-time house source information corresponding to the area to be updated of each target;
in this embodiment, if the terminal device determines, through the image processing system, that the second field image is inconsistent with the target front end plan, the terminal device determines, based on the target front end plan, each abnormal area in the second field image, and marks each abnormal area as each target area to be updated, and meanwhile, the terminal device obtains real-time room source information corresponding to each target area to be updated.
Step B40: updating the target front-end plan according to the areas to be updated and the real-time house source information;
in this embodiment, the terminal device binds the obtained areas to be updated and the real-time source information, and updates the target front-end plan according to the areas to be updated and the real-time source information.
Illustratively, for example, after a terminal device inputs a target front end plan to an image acquisition module in the terminal device, the image acquisition module determines a shooting track of the terminal device in the target house based on the target front end plan, and at the same time, the terminal device moves along the shooting track, and calls a camera group configured on the terminal device to shoot the target house to obtain a second field image, the terminal device uploads the obtained second field image and the target front end plan to an image processing system, and the image processing system performs image processing on the second field image by using an opencv tool, the image processing system compares the second field image with the target front-end plane map, determines each abnormal area in the second field image, wherein the second field image is inconsistent with the target front-end plane map, the image processing system marks each abnormal area as a target area to be updated, meanwhile, the terminal equipment acquires real-time house source information corresponding to each target area to be updated in a house source information database, finally, the terminal equipment binds each target area to be updated and real-time house source information corresponding to each target area to be updated, and updates the target front-end plane map according to each area to be updated and each real-time house source information.
Step S50: outputting the target front-end plan to a management terminal of the target house;
illustratively, for example, after generating the target front-end plan, the terminal device inputs the target front-end plan and the front-end access webpage to a management terminal bound with the target house through a preset application interface or a wireless network, so that the management terminal manages the target house through the target front-end plan.
In this embodiment, when the terminal device is running, first reading the storage device to obtain a CAD design drawing pre-stored by a developer, the terminal device determining a shooting track in a target house according to the CAD design drawing, and controlling a camera device arranged in the terminal device to shoot the target house along the shooting track to obtain a first field image, then uploading the obtained first field image and CAD design drawing to an image processing system integrated in the terminal device, comparing the first field image with the CAD design drawing by the image processing system to determine each target abnormal area in the first field image, meanwhile, reading the storage device by the terminal device to obtain an initial field plan drawing pre-stored by the developer and consistent with the CAD design drawing, adding each target abnormal area into the initial field plan drawing by the terminal device to generate a target field plan drawing, then reading a front canvas tool pre-stored by the developer and editing the target plan drawing by using the front tool to convert the target plan drawing into the initial field plan drawing to generate a target field plan drawing, and comparing each target abnormal area canvas into a front image processing image database, and determining whether the front image processing module of the first field image is consistent with the front image processing database, if the front image database is determined by the terminal device, reading the front canvas pre-stored by the terminal device, and converting the front image database into a front image database, and comparing the front image database of the first field image database to determine whether the front image database to determine the front image database of the front image database, if the terminal device is consistent with the front image database, and the front image database of the terminal device, and finally, after the terminal device generates the target front-end plan, the target front-end plan and the front-end access webpage are input to a management terminal bound with the target house through a preset application interface or a wireless network, so that the management terminal can manage the target house through the target front-end plan.
Therefore, the invention adopts the mode of determining each target abnormal area in the first field image according to the CAD design drawing, acquiring the target field plane drawing based on each target abnormal area, converting the target field plane drawing into the front-end canvas image, and binding the front-end canvas image with each house source information to generate the target front-end plane drawing, thereby achieving the technical effect of improving the flexibility of the real estate management work, and further relating the plane drawing display work in the house management work with the management work of renting and selling states.
Further, a second embodiment of the processing method of house image data of the present invention is proposed herein based on the above-described first embodiment of the processing method of house image data of the present invention.
Referring to fig. 3, fig. 3 is a flowchart illustrating a house image data processing method according to a first embodiment of the present invention, where the house image data processing method according to the present invention may further include:
step C10: acquiring a preset house source information updating frequency, and detecting the binding time corresponding to each house source information in the target front-end plane graph according to the house source information updating frequency;
in this embodiment, the terminal device reads the storage device to obtain the room source information update frequency pre-stored by the developer, and detects the target front-end plan according to the room source information update frequency, and determines the bound time of the room source information corresponding to each room area in the target front-end plan.
Step C20: when detecting that each bound time corresponds to the room source information updating frequency, acquiring real-time room source information corresponding to each room area in the target front-end plane graph, and updating the target front-end plane graph according to each real-time room source information;
in this embodiment, when detecting that the bound time of the house source information corresponding to each room area in the target front-end plan corresponds to the house source information update frequency, the terminal device obtains the real-time house source information corresponding to each room area in the house source information database, reads the real-time status information corresponding to each real-time house source information, and updates the target front-end plan according to each real-time house source information and each real-time status information.
Illustratively, for example, the terminal device reads the storage device to obtain a house source information update frequency pre-stored by a developer, and when the frequency value is 5, it indicates that the house source information update frequency is 5 days, the terminal device detects a target front-end plane graph every 5 days according to the house source update frequency, and determines the bound time of the house source information corresponding to each room area in the target front-end plane graph, when the terminal device detects that the bound time of each house source information is greater than or equal to 5 days, the terminal device obtains real-time house source information corresponding to each room area in a house source information database, and reads real-time status information corresponding to each real-time house source information, and the terminal device updates the target front-end plane graph according to each real-time house source information and each real-time status information.
It should be noted that the above-mentioned frequency of updating the house source information may be set in units of days, and of course, the user of the terminal device may also adjust the units according to actual situations. In addition, the house source information update frequency may also be a time period, that is, the terminal device detects the target front-end plane graph according to the house source update frequency and a fixed time period, and determines the bound time of the house source information corresponding to each room area in the target front-end plane graph.
In this embodiment, first, a terminal device reads a storage device to obtain a room source information update frequency pre-stored by a developer, the terminal device detects a target front-end plane graph according to the room source information update frequency and determines a binding time of room source information corresponding to each room area in the target front-end plane graph, then, when the terminal device detects that the binding time of the room source information corresponding to each room area in the target front-end plane graph corresponds to the room source information update frequency, the terminal device obtains real-time room source information corresponding to each room area in a room source information database and reads real-time state information corresponding to each real-time room source information, and the terminal device updates the target front-end plane graph according to each real-time room source information and each real-time state information.
Therefore, the invention achieves the purpose of combining the house plane display graph with the house source information of the house and further managing the house source information in real time by acquiring the house source information updating frequency, detecting the bound time of the house source information corresponding to each room area in the target front-end plane graph according to the house source information updating frequency, acquiring the real-time house source information and the real-time state information corresponding to each room area, and finally updating the target front-end plane graph according to the real-time house source information and the real-time state information.
Referring to fig. 5, fig. 5 is a schematic diagram of functional modules according to an embodiment of a method for processing house image data according to the present invention, and as shown in fig. 5, the apparatus for processing house image data according to the present invention includes:
the image acquisition module 10 is configured to acquire a preset CAD design drawing, and call the camera device to shoot a target house according to the CAD design drawing to obtain a first field image;
an image editing module 20, configured to determine, according to the first field image and the CAD design drawing, each target abnormal region in the first field image, and add each target abnormal region to a preset initial field plan to obtain a target field plan, where the initial field plan is consistent with the CAD design drawing;
an image comparison module 30, configured to convert the target field plan into a front-end canvas image, and determine whether the front-end canvas image is consistent with the first field image;
the image generation module 40 is configured to bind the front-end canvas image with preset source information if it is determined that the front-end canvas image is consistent with the first field image, and edit the front-end canvas image according to state information corresponding to the source information to obtain a target front-end plan;
and the image output module 50 is used for outputting the target front end plan to a management terminal of the target house.
Further, the image editing module 20 includes:
the image processing unit is used for carrying out segmentation identification processing on the first field image to obtain a field image to be identified;
and the abnormity determining unit is used for comparing the field image to be identified with the CAD design drawing to obtain a first comparison result, determining each abnormal area in the field image to be identified according to the first comparison result, and determining each abnormal area as each target abnormal area.
Further, the image matching module 30 includes:
the image shooting unit is used for calling the camera device to shoot the target house according to the target front end plan to obtain a second field image;
an image judging unit, configured to judge whether the target front-end plan and the second field image are consistent;
a room source obtaining unit, configured to determine, based on the target front-end plane map, each target area to be updated in the second field image if it is determined that the target front-end plane map is inconsistent with the second field image, and obtain real-time room source information corresponding to each target area to be updated;
and the image updating unit is used for updating the target front-end plan according to each area to be updated and each real-time house source information.
Further, the image matching module 30 further includes:
the page detection unit is used for detecting a front-end access page corresponding to the front-end canvas image if the front-end canvas image is judged to be inconsistent with the first field image;
and the image editing unit is used for updating the front-end canvas image according to the image editing parameters when the front-end access page is detected to receive the image editing parameters.
Further, an image editing unit includes:
the vertex acquisition subunit is used for determining vertex coordinate data corresponding to each modification area contained in the image editing parameters;
and the first editing subunit is used for determining the position information of each modification area in the front-end canvas image according to each vertex coordinate data, and updating the front-end canvas image according to each position information.
Further, the image editing unit further includes:
a boundary obtaining subunit, configured to determine boundary point coordinate data corresponding to each modification area included in the image editing parameter;
and the second editing subunit is used for determining the position information of each modification area in the front-end canvas image according to the coordinate data of each boundary point and updating the front-end canvas image according to the position information.
Further, the image generation module 40 includes:
the frequency detection unit is used for acquiring a preset house source information updating frequency and detecting the binding time corresponding to each house source information in the target front-end plane graph according to the house source information updating frequency;
and the house source updating unit is used for acquiring real-time house source information corresponding to each room area in the target front-end plane graph when detecting that each bound time corresponds to the house source information updating frequency, and updating the target front-end plane graph according to each real-time house source information.
Furthermore, the present invention also provides a terminal device, which has a processing program of house image data that can run on a processor, and when executing the processing program of house image data, the terminal device implements the steps of the house image data processing method according to any one of the above embodiments.
The specific embodiment of the terminal device of the present invention is basically the same as the embodiments of the house image data processing method described above, and details are not described herein.
Furthermore, the present invention also provides a computer-readable storage medium having stored thereon a house image data processing program that realizes the steps of the house image data processing method according to any one of the above embodiments when executed by a processor.
The specific embodiment of the computer-readable storage medium is substantially the same as the embodiments of the house image data processing method, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or system comprising the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method of the foregoing embodiments may be implemented by software plus a necessary general hardware platform, and certainly may also be implemented by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A house image data processing method applied to a terminal device provided with an image pickup device, comprising:
acquiring a preset CAD (computer-aided design) design drawing, and calling the camera device to shoot a target house according to the CAD design drawing to obtain a first field image;
determining each target abnormal area in the first field image according to the first field image and the CAD design drawing, and adding each target abnormal area to a preset initial field plane drawing to obtain a target field plane drawing, wherein the initial field plane drawing is consistent with the CAD design drawing;
converting the target site plan into a front-end canvas image, and judging whether the front-end canvas image is consistent with the first site image;
if so, binding the front-end canvas image with preset each house source information, and editing the front-end canvas image according to the state information corresponding to each house source information to obtain a target front-end plan;
and outputting the target front-end plane diagram to a management terminal of the target house.
2. The method for processing the house image data according to claim 1, wherein the step of determining each target abnormal area in the first field image based on the first field image and the CAD design drawing comprises:
carrying out segmentation recognition processing on the first field image to obtain a field image to be recognized;
and comparing the site image to be identified with the CAD design drawing to obtain a first comparison result, determining each abnormal area in the site image to be identified according to the first comparison result, and determining each abnormal area as each target abnormal area.
3. The method for processing the image data of a house according to claim 1, wherein after the step of editing the front-end canvas image according to the state information corresponding to each of the house source information to obtain the target front-end plan, the method further comprises:
calling the camera device to shoot the target house according to the target front end plan to obtain a second field image;
judging whether the target front end plan and the second field image are consistent;
if not, determining the area to be updated of each target in the second field image based on the target front-end plane diagram, and acquiring real-time house source information corresponding to the area to be updated of each target;
and updating the target front-end plan according to each area to be updated and each real-time house source information.
4. The method of processing the house image data of claim 1, wherein after the step of determining whether the front-end canvas image is consistent with the first live image, the method further comprises:
if the front-end canvas image is judged to be inconsistent with the first field image, detecting a front-end access page corresponding to the front-end canvas image;
and when detecting that the front-end access page receives the image editing parameters, updating the front-end canvas image according to the image editing parameters.
5. The house image data processing method of claim 4, wherein the step of updating the front-end canvas image according to the image editing parameters comprises:
determining vertex coordinate data corresponding to each modification area contained in the image editing parameters;
and determining the position information of each modification area in the front-end canvas image according to the vertex coordinate data, and updating the front-end canvas image according to the position information.
6. The method for processing the house image data according to claim 5, wherein the step of updating the front-end canvas image according to the image editing parameter further comprises:
determining boundary point coordinate data corresponding to each modification area contained in the image editing parameters;
and determining the position information of each modification area in the front-end canvas image according to the coordinate data of each boundary point, and updating the front-end canvas image according to each position information.
7. The method for processing the house image data according to claim 1, characterized in that the method further comprises:
acquiring a preset house source information updating frequency, and detecting the binding time corresponding to each house source information in the target front-end plane graph according to the house source information updating frequency;
and when detecting that each bound time corresponds to the room source information updating frequency, acquiring real-time room source information corresponding to each room area in the target front-end plane graph, and updating the target front-end plane graph according to each real-time room source information.
8. A house image data processing apparatus applied to a terminal device provided with an image pickup apparatus, the apparatus comprising:
the image acquisition module is used for acquiring a preset CAD design drawing and calling the camera device to shoot a target house according to the CAD design drawing to obtain a first field image;
the image editing module is used for determining each target abnormal area in the first field image according to the first field image and the CAD design drawing and adding each target abnormal area to a preset initial field plane drawing to obtain a target field plane drawing, wherein the initial field plane drawing is consistent with the CAD design drawing;
the image comparison module is used for converting the target field plan into a front-end canvas image and judging whether the front-end canvas image is consistent with the first field image or not;
the image generation module is used for binding the front-end canvas image with preset source information if the front-end canvas image is judged to be consistent with the first field image, and editing the front-end canvas image according to the state information corresponding to the source information to obtain a target front-end plan;
and the image output module is used for outputting the target front-end plan to a management terminal of the target house.
9. A terminal device, characterized in that the terminal device comprises: a memory, a processor and a processing program of the house image data stored on the memory and executable on the processor, the processing program of the house image data realizing the steps of the processing method of the house image data according to any one of claims 1 to 7 when executed by the processor.
10. A computer-readable storage medium, characterized in that a house image data processing program is stored on the computer-readable storage medium, and when executed by a processor, realizes the steps of the house image data processing method according to any one of claims 1 to 7.
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