WO2019179023A1 - Indoor image processing method, server and computer readable storage medium - Google Patents

Abstract

An indoor image processing method, a server and a computer readable storage medium; the method is applied to the server, the server is connected to a mobile terminal, and the method comprises the steps of: receiving pictures uploaded by the mobile terminal (S301); determining, according to the pictures uploaded by the mobile terminal, a collecting angle when the mobile terminal collects the pictures (S302); selecting a corresponding picture splicing algorithm according to the collecting angle (S303), and splicing the pictures uploaded by the mobile terminal using the picture splicing algorithm (S304); and displaying the spliced pictures (S305). According to the described solution, real time scene pictures can be obtained according to the mobile terminal, a 360-degree or 720-degree panorama image of a target indoor space can be quickly obtained and displayed to a final user, such that the target indoor situation can be displayed online in a more stereoscopic manner.

Description

Indoor image processing method, server and computer readable storage medium

The present application claims priority to Chinese Patent Application No. 201101226472.7, entitled "Indoor Image Processing Method, Server and Computer Readable Storage Media", filed on March 19, 2018, the entire contents of which are incorporated by reference. Combined in the application.

Technical field

The present application relates to the field of computer technologies, and in particular, to an indoor image processing method, a server, and a computer readable storage medium.

Background technique

With the development of the Internet, more and more industries have begun to integrate with the Internet, and real estate e-commerce has emerged. Compared with the traditional real estate intermediation mode, real estate e-commerce has been electronically transformed from the most basic real estate information, covering the real estate brokerage agency's ground services and internal operations management.

As the main product of the real estate e-commerce platform, real estate plays an important role in the e-commerce business. For a property, vision will be the most intuitive experience for customers. In today's Internet age, customers often choose to conduct a basic screening of the property on the e-commerce platform, and then examine the filtered property online. In this case, if the indoor image details of the property cannot be better displayed to the customer on the e-commerce platform, the customer may not further investigate the corresponding property, thereby losing the possible transaction and affecting the corresponding performance. which performed.

Summary of the invention

In view of this, the present application provides an indoor image processing method, a server, and a computer readable storage medium, which can acquire a real-time indoor scene image according to the mobile terminal, and quickly acquire an indoor 360-degree or 720-degree panoramic image and display it to the end user. According to this, the indoor situation of the target property can be more stereoscopically displayed on the online, so that the consumer obtains more first sensory information.

First, in order to achieve the above object, the present application provides a server, which includes a memory, a processor, and an image processing program executable on the processor, where the image processing program is The processor performs the following steps: receiving a picture uploaded by the mobile terminal; determining, according to the picture uploaded by the mobile terminal, the collection angle of the picture by the mobile terminal; and selecting a corresponding picture splicing algorithm according to the collection angle, The picture uploaded by the mobile terminal is spliced by using the picture splicing algorithm; and the spliced picture is displayed.

In addition, in order to achieve the above object, the present application further provides an indoor image processing method, which is applied to a server, and the server is connected to a mobile terminal, and the method includes: receiving a picture uploaded by the mobile terminal; and uploading according to the mobile terminal. Determining, by the picture, the collection angle of the picture by the mobile terminal, selecting a corresponding picture splicing algorithm according to the collection angle, splicing the picture uploaded by the mobile terminal by using the picture splicing algorithm, and performing splicing the picture Show.

Further, in order to achieve the above object, the present application further provides a computer readable storage medium storing an indoor image processing program, the indoor image processing program being executable by at least one processor, so that The at least one processor performs the steps of the indoor image processing method as described above.

Compared with the prior art, the indoor image processing method, the server, and the computer readable storage medium proposed by the present application firstly receive a picture uploaded by the mobile terminal; secondly, determine the mobile according to the picture uploaded by the mobile terminal. The terminal collects the collection angle of the picture; again, selects a corresponding picture splicing algorithm according to the collection angle, and uses the picture splicing algorithm to splicing the picture uploaded by the mobile terminal; finally, displaying the spliced picture . In this way, the real-time scene image can be obtained according to the mobile terminal, and the 360-degree or 720-degree panoramic image of the target indoor space can be quickly obtained and displayed to the end user, which can make the display on the target line more stereoscopic, so that the consumer obtains more A sensory data.

DRAWINGS

1 is a schematic diagram of an optional hardware architecture of the server of the present application;

Figure 2 is a block diagram showing the program of the first embodiment of the image processing program of the present application;

3 is a flowchart of a first embodiment of a method for processing indoor images of the present application;

4 is a flow chart of a second embodiment of the indoor image processing method of the present application.

The implementation, functional features and advantages of the present application will be further described with reference to the accompanying drawings.

detailed description

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

It should be noted that the descriptions of "first", "second" and the like in the present application are for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. . Thus, features defining "first" or "second" may include at least one of the features, either explicitly or implicitly. In addition, the technical solutions between the various embodiments may be combined with each other, but must be based on the realization of those skilled in the art, and when the combination of the technical solutions is contradictory or impossible to implement, it should be considered that the combination of the technical solutions does not exist. Nor is it within the scope of protection required by this application.

Referring to FIG. 1, it is a schematic diagram of an optional hardware architecture of the server 1.

The server 1 may be a computing device such as a rack server, a blade server, a tower server, or a rack server. The server 1 may be a standalone server or a server cluster composed of multiple servers.

In this embodiment, the server 1 may include, but is not limited to, a memory 11, a processor 12, and a network interface 13 that can communicate with each other through a system bus.

The server 1 connects to the network through the network interface 13 to obtain information. The network may be an intranet, an Internet, a Global System of Mobile communication (GSM), a Wideband Code Division Multiple Access (WCDMA), a 4G network, or a 5G network. Wireless or wired networks such as networks, Bluetooth, Wi-Fi, and call networks.

It is pointed out that Figure 1 only shows the server 1 with the components 11-13, but it should be understood that not all illustrated components are required to be implemented, and more or fewer components may be implemented instead.

The memory 11 includes at least one type of storage medium (computer readable storage medium) including a flash memory, a hard disk, a multimedia card, a card type memory (eg, SD or DX memory, etc.), a random access memory. (RAM), static random access memory (SRAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disk, optical disk, and the like. In some embodiments, the memory 11 may be an internal storage unit of the server 1, such as a hard disk or memory of the server 1. In other embodiments, the memory 11 may also be an external storage device of the server 1, such as a plug-in hard disk equipped with the server 1, a smart memory card (SMC), and a secure digital (Secure Digital). , SD) card, flash card (Flash Card), etc. Of course, the memory 11 can also include both the internal storage unit of the server 1 and its external storage device. In this embodiment, the memory 11 is generally used to store an operating system installed in the server 1 and various types of application software, such as program code of the image processing program 200. Further, the memory 11 can also be used to temporarily store various types of data that have been output or are to be output.

The processor 12 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 12 is typically used to control the overall operation of the server 1, such as performing data interaction or communication related control and processing, and the like. In this embodiment, the processor 12 is configured to run program code or process data stored in the memory 11, such as running the image processing program 200 and the like.

The network interface 13 may comprise a wireless network interface or a wired network interface, which is typically used to establish a communication connection between the server 1 and other electronic devices.

In this embodiment, an image processing program 200 is installed and run in the server 1. When the image processing program 200 is running, the server 1 first receives a picture uploaded by the mobile terminal; secondly, according to the movement The picture uploaded by the terminal determines that the mobile terminal collects the collection angle of the picture; again, selects a corresponding picture splicing algorithm according to the collection angle; and then splices the picture uploaded by the mobile terminal by using the picture splicing algorithm; Finally, the stitched pictures are displayed. In this way, the real-time scene image can be obtained according to the mobile terminal, and the 360-degree or 720-degree panoramic image of the target space can be quickly obtained and displayed to the end user, which can make the display on the target line more stereoscopic, and use the consumer to obtain more first. Sensory information.

So far, the application environment of the various embodiments of the present application and the hardware structure and functions of related devices have been described in detail. Hereinafter, various embodiments of the present application will be proposed based on the above-described application environment and related devices.

First, the present application proposes an indoor image processing program 200.

Referring to Fig. 2, it is a program block diagram of the first embodiment of the indoor image processing program 200 of the present application.

In this embodiment, the server 1 includes a series of computer program instructions stored in the memory 11, that is, the indoor image processing program 200. When the computer program instructions are executed by the processor 12, the embodiments of the present application can be implemented. Image processing operations. In some embodiments, the indoor image processing program 200 can be divided into one or more modules based on the particular operations implemented by the various portions of the computer program instructions. For example, in FIG. 2, the indoor image processing program 200 can be divided into a receiving module 201, a determining module 202, an algorithm selecting module 203, a splicing module 204, and a display module 205. among them:

The receiving module 201 is configured to receive a picture uploaded by the mobile terminal.

In the present embodiment, the mobile terminal (not shown) is a portable terminal having an image acquisition function and a data transmission function, such as a smart phone, a personal digital assistant, a tablet computer, and the like. The picture uploaded by the mobile terminal is obtained by taking a picture of the scene according to the requirement of the user. Specifically, during the photo taking process, if the effect is not satisfactory after a single photo, you can choose to cancel the photo result. The photo will not be uploaded to the server for splicing. If the effect is satisfactory, you need to save the photo. The steps of receiving the picture uploaded by the mobile terminal are described in detail in FIG. 4.

The determining module 202 is configured to determine, according to the picture uploaded by the mobile terminal, the collection angle of the picture collected by the mobile terminal.

In the present embodiment, for the image acquisition process, if 360 degrees or 720 degrees are selected for image acquisition, an acquisition angle digital identifier will be embedded in the acquired image and hidden in the image pixel set. In the subsequent image processing process, the determining module 203 parses the pixel set of the image, and then can determine the collection angle of the currently analyzed image.

The algorithm selection module 203 is configured to select a corresponding image splicing algorithm according to the collection angle.

In this embodiment, the picture stitching algorithm includes an opencv picture 360 degree panoramic stitching algorithm and an opencv picture 720 degree panoramic stitching algorithm. Specifically, the 360-degree panoramic splicing algorithm of the opencv picture includes the following steps: 1. performing feature point extraction on each picture; 2. matching feature points, where only feature extraction or matching is needed, only need to extract or match The spliced picture is symmetrical on both sides of the image acquisition direction, such as a 360-degree picture acquisition relative to the left and right direction of the photographer, only need to extract and match the feature points of the left and right symmetrical edges; 3. Perform image registration; 4. Put The image is copied to a specific position of another image, and the specific position is located within a certain distance from the edge of the other image, and the setting of the distance may be set according to user needs, which is not limited herein; 5. Special treatment of overlapping boundaries, such as removing pixels with the same brightness and hue, and removing image noise.

The 720 degree panoramic splicing algorithm of the opencv picture includes the following steps: 1. performing feature point extraction on each picture; 2. matching feature points, when performing feature point extraction or matching, all edges of the picture to be spliced are needed The area performs feature point extraction and matching; 3. performs image registration; 4. copies the image to a specific position of another image, the specific position is within a certain distance from the edge of the other image, The setting of the distance can be set according to the needs of the user, and is not limited herein; 5. Special processing is performed on the overlapping boundary, such as removing pixels with the same brightness and hue, and removing image noise.

The splicing module 204 is configured to splicing a picture uploaded by the mobile terminal by using the picture splicing algorithm.

In the embodiment, when the image splicing algorithm corresponding to 360 degrees is selected, the feature points are collected and matched on the symmetrical two sides of the acquired image in the acquisition direction, and then the image splicing is performed. When the image splicing algorithm corresponding to 720 degrees is selected, the feature points are extracted and matched to the portions within the predetermined range around the acquired image, thereby performing the above-mentioned picture splicing.

The display module 205 is configured to display the stitched picture.

In this embodiment, before the splicing of the picture is displayed, the determining module 202 further analyzes the spliced picture to determine whether the spliced picture conforms to the 360-degree spliced picture or the 720-degree picture. Specifically, the judging module 202 analyzes the spliced picture to obtain a picture overlapping area. If the picture overlapping area only belongs to the left and right or the upper and lower symmetrical distribution, the splicing picture conforming to 360 degrees is determined, and if the overlapping area of the picture is closed, The area is judged to match the 720-degree stitched picture.

Further, when the splicing result is a 360-degree spliced picture, the display module 205 processes and processes the 360-degree spliced picture by using a krpano engine, and generates an html page, where the html page is used for access by the mobile terminal. Show panoramic images. The krpano engine is the Krpano panoramic display engine, but it adopts xml data structure and flash-based 3D panoramic display technology, and is a powerful 3D panoramic display engine. By using the krpano engine, the presentation module 205 can cause a 360 degree stitched picture to be quickly rendered to produce a panoramic image. After the panoramic image is generated, an html page is generated, which can enable the mobile terminal to quickly access and display the panoramic image to the user.

Further, when the splicing result is a 720-degree spliced picture, the display module 205 returns a 720-degree spliced picture to the mobile terminal, and the mobile terminal renders the 720-degree spliced picture by using an open source opengl technology. Perform a 720 degree display. For the 720-degree stitched picture, the corresponding rendering process is not performed on the server side, but the stitched picture is directly transmitted back to each mobile terminal that needs to browse the service, and the mobile terminal directly spliced the picture through the opengl technology. Rendering shows 720 degrees. Since the amount of 720-degree stitched picture data is larger than the data amount of the general 360-degree stitched picture, by transferring the post-render processing to the mobile terminal, the running pressure of the server 1 end can be effectively reduced, and the picture display efficiency is improved.

The server of the present application receives the picture uploaded by the mobile terminal, and determines, according to the picture uploaded by the mobile terminal, the collection angle of the picture by the mobile terminal, according to the program module 201-205; Selecting a corresponding image splicing algorithm, and splicing the image uploaded by the mobile terminal by using the image splicing algorithm; and displaying the spliced image. In this way, the real-time scene image can be obtained according to the mobile terminal, and the 360-degree or 720-degree panoramic image of the target indoor space can be quickly obtained and displayed to the end user, which can make the indoor space of the target appear more stereoscopic on the line, so that the consumer can obtain more. More first sensory information.

In addition, the present application also proposes an indoor image processing method.

Referring to FIG. 3, it is a schematic flowchart of the implementation of the first embodiment of the indoor image processing method of the present application. In this embodiment, the order of execution of the steps in the flowchart shown in FIG. 3 may be changed according to different requirements, and some steps may be omitted.

Step S301: Receive a picture uploaded by the mobile terminal.

In this embodiment, the mobile terminal is a portable terminal having an image acquisition function and a data transmission function, such as a smart phone, a personal digital assistant, a tablet computer, and the like. The picture uploaded by the mobile terminal is obtained by taking a picture of the scene according to the requirement of the user. Specifically, during the photo taking process, if the effect is not satisfactory after a single photo taking, you can choose to cancel the photo result. The photo will not be uploaded to the server 1 for splicing. If the effect is satisfactory, you need to save the photo. The step of receiving the picture uploaded by the mobile terminal is specifically described in the second embodiment of the indoor image processing method of the present application (as shown in FIG. 4).

Step S302: Determine, according to the picture uploaded by the mobile terminal, the collection angle of the picture collected by the mobile terminal.

In this embodiment, for the image acquisition process, if 360 degree or 720 degrees is selected for image acquisition, an acquisition angle digital identifier will be embedded in the acquired image and hidden in the image pixel set. In the subsequent image processing process, the determining module 203 parses the pixel set of the image, and then can determine the collection angle of the currently analyzed image.

Step S303, selecting a corresponding picture stitching algorithm according to the collection angle.

In this embodiment, the picture stitching algorithm includes an opencv picture 360 degree panoramic stitching algorithm and an opencv picture 720 degree panoramic stitching algorithm.

Specifically, the 360-degree panoramic splicing algorithm of the opencv picture includes the following steps: 1. performing feature point extraction on each picture; 2. matching feature points, where only feature extraction or matching is needed, only need to extract or match The spliced picture is symmetrical on both sides of the image acquisition direction, such as a 360-degree picture acquisition relative to the left and right direction of the photographer, only need to extract and match the feature points of the left and right symmetrical edges; 3. Perform image registration; 4. Put The image is copied to a specific position of another image, and the specific position is located within a certain distance from the edge of the other image, and the setting of the distance may be set according to user needs, which is not limited herein; 5. Special treatment of overlapping boundaries, such as removing pixels with the same brightness and hue, and removing image noise.

The 720 degree panoramic splicing algorithm of the opencv picture includes the following steps: 1. performing feature point extraction on each picture; 2. matching feature points, when performing feature point extraction or matching, all edges of the picture to be spliced are needed The area performs feature point extraction and matching; 3. performs image registration; 4. copies the image to a specific position of another image, the specific position is within a certain distance from the edge of the other image, The setting of the distance can be set according to the needs of the user, and is not limited herein; 5. Special processing is performed on the overlapping boundary, such as removing pixels with the same brightness and hue, and removing image noise.

In step S304, the picture uploaded by the mobile terminal is spliced by using the picture splicing algorithm.

In the embodiment, when the image splicing algorithm corresponding to 360 degrees is selected, the feature points are collected and matched on the symmetrical two sides of the acquired image in the acquisition direction, and then the image splicing is performed. When the image splicing algorithm corresponding to 720 degrees is selected, the feature points are extracted and matched to the portions within the predetermined range around the acquired image, thereby performing image splicing.

In step S305, the stitched picture is displayed.

In this embodiment, before the step of displaying the picture after splicing, the spliced picture is further analyzed to determine whether the spliced picture conforms to a 360-degree spliced picture or a 720-degree picture. Specifically, the judging module 202 analyzes the spliced picture to obtain a picture overlapping area. If the picture overlapping area only belongs to the left and right or the upper and lower symmetrical distribution, the splicing picture conforming to 360 degrees is determined, and if the overlapping area of the picture is closed, The area is judged to match the 720-degree stitched picture.

Further, when the splicing result is a 360-degree spliced picture, the 360-degree spliced picture is processed by using a krpano engine, and an html page is generated, and the html page is used to display the panoramic image when the mobile terminal accesses . The krpano engine is the Krpano panoramic display engine, but it adopts xml data structure and flash-based 3D panoramic display technology, and is a powerful 3D panoramic display engine. By using the krpano engine, 360-degree stitching images can be quickly rendered to produce a panoramic image. After the panoramic image is generated, an html page is generated, which can enable the mobile terminal to quickly access and display the panoramic image to the user.

Further, when the splicing result is a 720-degree spliced picture, the 720-degree spliced picture is transmitted back to the mobile terminal, and the mobile terminal uses the open source opengl technology to render the 720-degree spliced picture for 720 degrees. Show. For the 720-degree stitched picture, the corresponding rendering process is not performed on the server side, but the stitched picture is directly transmitted back to each mobile terminal that needs to browse the service, and the mobile terminal directly spliced the picture through the opengl technology. Rendering shows 720 degrees. Since the amount of 720-degree stitched picture data is larger than the data amount of the general 360-degree stitched picture, by transferring the post-render processing to the mobile terminal, the running pressure of the server end can be effectively reduced, and the picture display efficiency is improved.

Through the above steps S301-305, the indoor image processing method proposed by the present application firstly receives a picture uploaded by the mobile terminal; secondly, determining, according to the picture uploaded by the mobile terminal, the collection angle of the picture collected by the mobile terminal And again, selecting a corresponding image splicing algorithm according to the collection angle, and splicing the image uploaded by the mobile terminal by using the image splicing algorithm; and finally, displaying the spliced image. In this way, the real-time scene image can be obtained according to the mobile terminal, and the 360-degree or 720-degree panoramic image of the target indoor space can be quickly obtained and displayed to the end user, which can make the display of the target indoor space more stereoscopic on the line, so that the consumer can obtain more. The first sensory information.

Referring to FIG. 4, it is a schematic flowchart of the implementation of the second embodiment of the indoor image processing method of the present application. In this embodiment, the order of execution of the steps in the flowchart shown in FIG. 4 may be changed according to different requirements, and some steps may be omitted. FIG. 4 shows a further description of step S301 in FIG.

In step S401, the mobile terminal is controlled to turn on the camera application.

Specifically, the server 1 can send a control command to the mobile terminal through the communication network, and then remotely control the mobile terminal to open the camera application, thereby preparing to acquire an image.

At step S402, a picture acquisition angle is selected.

Specifically, after the camera application is turned on, the mobile terminal selects a picture acquisition angle according to the user's touch operation, for example, selecting a 360-degree shooting or a 720-degree shooting, wherein the 720-degree shooting selection is generally a wide-angle lens, and the viewing angle range is larger than a general lens.

In step S403, a shooting guide is displayed on the camera interface according to the selected collection angle, and the shooting guide is used to guide the user to perform picture collection by using the mobile terminal.

Specifically, when the acquisition angle is selected, the shooting guidance of the corresponding angle is displayed on the shooting interface of the camera, for example, the 360-degree acquisition angle is guided by an arrow indicating the XOY surface in the stereo coordinate system. For the 720-degree acquisition angle, the guidance is indicated by two XOY faces in the three-dimensional coordinate system and YOZ arrows. Specifically, the image is acquired by slowly moving the shooting angle according to the shooting guide, thereby providing material for subsequent image stitching.

In step S405, the captured picture is selected for uploading.

Specifically, the mobile terminal uploads the acquired picture or image to the server through the wireless network, for further processing by the server 1.

Through the above steps S401-405, the indoor image processing method proposed by the present application can receive the scene picture uploaded by the mobile terminal according to the user demand.

The present application further provides another embodiment, that is, a computer readable storage medium storing an indoor image processing program, the indoor image processing program being executable by at least one processor, The at least one processor is caused to perform the steps of the indoor image processing method as described above.

The serial numbers of the embodiments of the present application are merely for the description, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better. Implementation. Based on such understanding, the technical solution of the present application, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, The optical disc includes a number of instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present application.

The above is only a preferred embodiment of the present application, and is not intended to limit the scope of the patent application, and the equivalent structure or equivalent process transformations made by the specification and the drawings of the present application, or directly or indirectly applied to other related technical fields. The same is included in the scope of patent protection of this application.

Claims (20)

An indoor image processing method is applied to a server, the server is connected to a mobile terminal, and the method comprises the steps of: Receiving a picture uploaded by the mobile terminal; Determining, according to the picture uploaded by the mobile terminal, the collection angle of the picture collected by the mobile terminal; Selecting a corresponding image splicing algorithm according to the collection angle, and splicing the image uploaded by the mobile terminal by using the image splicing algorithm; and Display the stitched image. The indoor image processing method according to claim 1, wherein the step of receiving a picture uploaded by the mobile terminal comprises: Controlling the mobile terminal to turn on the camera application; Select a picture acquisition angle according to the user's touch operation; Displaying a shooting guide on the camera interface according to the selected collection angle, the shooting guide is used to guide the user to use the mobile terminal to perform image capture; and Upload the captured image. The indoor image processing method according to claim 1, wherein the image stitching algorithm comprises an opencv picture 360 degree panoramic stitching algorithm and an opencv picture 720 degree panoramic stitching algorithm, wherein the corresponding image stitching is selected according to the collection angle. The step of splicing the image uploaded by the mobile terminal by using the image splicing algorithm includes: When the acquisition angle is 360 degrees, the opencv picture 360 degree panoramic splicing algorithm is selected, and the image uploaded by the mobile terminal is spliced by using the opencv picture 360 degree panoramic splicing algorithm; When the acquisition angle is 720 degrees, the 720 degree panoramic splicing algorithm of the opencv picture is selected, and the picture uploaded by the mobile terminal is spliced by using the 720 degree panoramic splicing algorithm of the opencv picture. The indoor image processing method according to claim 2, wherein the image stitching algorithm comprises an opencv picture 360 degree panoramic stitching algorithm and an opencv picture 720 degree panoramic stitching algorithm, wherein the corresponding image stitching is selected according to the collection angle. The step of splicing the image uploaded by the mobile terminal by using the image splicing algorithm includes: When the acquisition angle is 360 degrees, the opencv picture 360 degree panoramic splicing algorithm is selected, and the image uploaded by the mobile terminal is spliced by using the opencv picture 360 degree panoramic splicing algorithm; When the acquisition angle is 720 degrees, the 720 degree panoramic splicing algorithm of the opencv picture is selected, and the picture uploaded by the mobile terminal is spliced by using the 720 degree panoramic splicing algorithm of the opencv picture. The indoor image processing method according to claim 1, wherein the acquisition angle comprises 360 degrees and 720 degrees, and the stitched picture comprises a 360-degree stitched picture or a 720-degree stitched picture, after the stitching is performed. Before the step of displaying the picture, the method further includes: Determining a position of a picture overlapping area of the stitched picture; Determining, according to the position of the overlapping area of the picture, whether the stitched picture is a 360-degree stitched picture or a 720-degree stitched picture. The indoor image processing method according to claim 2, wherein the collection angle comprises 360 degrees and 720 degrees, and the stitched picture comprises a 360-degree stitched picture or a 720-degree stitched picture, after the stitching is performed Before the step of displaying the picture, the method further includes: Determining a position of a picture overlapping area of the stitched picture; Determining, according to the position of the overlapping area of the picture, whether the stitched picture is a 360-degree stitched picture or a 720-degree stitched picture. The indoor image processing method according to claim 3, wherein the acquisition angle comprises 360 degrees and 720 degrees, and the stitched picture comprises a 360-degree stitched picture or a 720-degree stitched picture, after the stitching is performed Before the step of displaying the picture, the method further includes: Determining a position of a picture overlapping area of the stitched picture; Determining, according to the position of the overlapping area of the picture, whether the stitched picture is a 360-degree stitched picture or a 720-degree stitched picture. The indoor image processing method according to claim 3, wherein the step of displaying the stitched picture specifically comprises: When the spliced picture is a 360-degree spliced picture, the 360-degree spliced picture is processed by using a krpano engine to generate an html page, where the html page is used for access by the mobile terminal; When the spliced picture is a 720-degree spliced picture, the 720-degree spliced picture is transmitted back to the mobile terminal, and the mobile terminal performs 720-degree display on the 720-degree spliced picture by using open source opengl technology. The indoor image processing method according to claim 5, wherein the step of displaying the stitched picture comprises: When the spliced picture is a 360-degree spliced picture, the 360-degree spliced picture is processed by using a krpano engine to generate an html page, where the html page is used for access by the mobile terminal; When the spliced picture is a 720-degree spliced picture, the 720-degree spliced picture is transmitted back to the mobile terminal, and the mobile terminal performs 720-degree display on the 720-degree spliced picture by using open source opengl technology. A server, comprising: a memory, a processor, wherein the memory stores an indoor image processing program executable on the processor, when the indoor image processing program is executed by the processor Implement the following steps: Receiving a picture uploaded by the mobile terminal; Determining, according to the picture uploaded by the mobile terminal, the collection angle of the picture collected by the mobile terminal; Selecting a corresponding image splicing algorithm according to the collection angle, and splicing the image uploaded by the mobile terminal by using the image splicing algorithm; and Display the stitched image. The server according to claim 10, wherein when the image processing program is executed by the processor, the step of receiving a picture uploaded by the mobile terminal comprises: Controlling the mobile terminal to turn on the camera application; Select a picture acquisition angle according to the user's touch operation; Displaying a shooting guide on the camera interface according to the selected collection angle, the shooting guide is used to guide the user to use the mobile terminal to perform image capture; and Upload the captured image. The server according to claim 10, wherein the image stitching algorithm comprises an opencv picture 360 degree panoramic stitching algorithm and an opencv picture 720 degree panoramic stitching algorithm, wherein the corresponding image stitching algorithm is selected according to the collection angle, and the image stitching algorithm is used. The step of splicing the image uploaded by the mobile terminal by the image splicing algorithm includes: When the acquisition angle is 360 degrees, the opencv picture 360 degree panoramic splicing algorithm is selected, and the image uploaded by the mobile terminal is spliced by using the opencv picture 360 degree panoramic splicing algorithm; When the acquisition angle is 720 degrees, the 720 degree panoramic splicing algorithm of the opencv picture is selected, and the picture uploaded by the mobile terminal is spliced by using the 720 degree panoramic splicing algorithm of the opencv picture. The server according to claim 10, wherein the acquisition angle comprises 360 degrees and 720 degrees, and the stitched image comprises a 360 degree stitched picture or a 720 degree stitched picture, the image processing program being When the processor is executed, the method further includes: before the step of displaying the picture after splicing: Determining a position of a picture overlapping area of the stitched picture; Determining, according to the position of the overlapping area of the picture, whether the stitched picture is a 360-degree stitched picture or a 720-degree stitched picture. The server according to claim 12, wherein when the stitched picture is a 360-degree stitched picture, the 360-degree stitched picture is processed by a krpano engine for displaying the html page, the html The page is used for access by the mobile terminal; when the spliced picture is a 720-degree spliced picture, the 720-degree spliced picture is transmitted back to the mobile terminal, and the mobile terminal utilizes an open source opengl technology The 720-degree stitched picture is displayed for 720 degrees. The server according to claim 13, wherein when the stitched picture is a 360-degree stitched picture, the 360-degree stitched picture is processed by a krpano engine for displaying the html page, the html The page is used for access by the mobile terminal; when the spliced picture is a 720-degree spliced picture, the 720-degree spliced picture is transmitted back to the mobile terminal, and the mobile terminal utilizes an open source opengl technology The 720-degree stitched picture is displayed for 720 degrees. A computer readable storage medium storing an image processing program, the indoor image processing program being executable by at least one processor to cause the at least one processor to perform the following steps: Receiving a picture uploaded by the mobile terminal; Determining, according to the picture uploaded by the mobile terminal, the collection angle of the picture collected by the mobile terminal; Selecting a corresponding image splicing algorithm according to the collection angle, and splicing the image uploaded by the mobile terminal by using the image splicing algorithm; and Display the stitched image. The computer readable storage medium according to claim 16, wherein when the image processing program is executed by the processor, the step of receiving a picture uploaded by the mobile terminal comprises: Controlling the mobile terminal to turn on the camera application; Select a picture acquisition angle according to the user's touch operation; Displaying a shooting guide on the camera interface according to the selected collection angle, the shooting guide is used to guide the user to use the mobile terminal to perform image capture; and Upload the captured image. The computer readable storage medium according to claim 16, wherein the image splicing algorithm comprises an opencv picture 360 degree panoramic splicing algorithm and an opencv picture 720 degree panoramic splicing algorithm, wherein the corresponding picture is selected according to the collection angle The splicing algorithm, the step of splicing the image uploaded by the mobile terminal by using the image splicing algorithm includes: When the acquisition angle is 360 degrees, the opencv picture 360 degree panoramic splicing algorithm is selected, and the image uploaded by the mobile terminal is spliced by using the opencv picture 360 degree panoramic splicing algorithm; When the acquisition angle is 720 degrees, the 720 degree panoramic splicing algorithm of the opencv picture is selected, and the picture uploaded by the mobile terminal is spliced by using the 720 degree panoramic splicing algorithm of the opencv picture. The computer readable storage medium according to claim 16, wherein the acquisition angle comprises 360 degrees and 720 degrees, and the stitched image comprises a 360 degree stitched picture or a 720 degree stitched picture, the image processing When the program is executed by the processor, the method further includes: before the step of displaying the picture after splicing: Determining a position of a picture overlapping area of the stitched picture; Determining, according to the position of the overlapping area of the picture, whether the stitched picture is a 360-degree stitched picture or a 720-degree stitched picture. The computer readable storage medium according to claim 19, wherein when the stitched picture is a 360-degree stitched picture, the 360-degree stitched picture is processed by a krpano engine for use in displaying the html page. The html page is used for access by the mobile terminal; when the spliced picture is a 720-degree spliced picture, the 720-degree spliced picture is transmitted back to the mobile terminal, and the mobile terminal utilizes open source The opengl technology performs a 720-degree display on the 720-degree stitched picture.

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