CN114840288A - Rendering method of distribution diagram, electronic device and storage medium - Google Patents
Rendering method of distribution diagram, electronic device and storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a rendering method of a distribution graph, electronic equipment and a storage medium, wherein the method comprises the following steps: responding to a rendering request aiming at a distribution diagram of image acquisition equipment, and acquiring rendering range information and scaling information which correspond to the distribution diagram currently; dividing a rendering area corresponding to the rendering range information into a plurality of sub-areas according to the zooming information; for each sub-region, determining the number information of the image acquisition equipment in the sub-region and the average position coordinate information of the image acquisition equipment in the sub-region; and executing the rendering operation of the distribution diagram according to the quantity information corresponding to each sub-region and the average position coordinate information.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a rendering method for a distribution graph, an electronic device, and a storage medium.
Background
With the research and progress of the artificial intelligence technology, the technology is applied to a plurality of fields, such as the fields of safety precaution, city management, traffic management, building management, garden management and the like, and business products in the fields are used for conducting some services such as retrieval or face recognition and the like based on images or video streams collected by image collection equipment such as a camera.
At present, in order to facilitate a user to select an image capturing device, a distribution condition of the image capturing device is presented to the user in a distribution diagram form, and when the distribution diagram of the image capturing device is viewed, an icon of the image capturing device is displayed on the distribution diagram according to an installation position of the image capturing device. When a user selects or views the image acquisition equipment, the image acquisition equipment at each position needs to be presented by means of the distribution map.
In the prior art, when the distribution condition of the image acquisition devices is presented to a user in a distribution diagram form, a large amount of data needs to be requested at one time, and then a large amount of image acquisition device information is drawn on a canvas at one time based on the requested large amount of data. However, the rendering efficiency of the distribution graph is low because the loading time is too long due to the fact that a large amount of data is requested at one time, and the CPU of the low-power-consumption device is jammed due to the fact that a large amount of information is drawn at one time.
Disclosure of Invention
The embodiment of the application provides a rendering method of a distribution graph, electronic equipment and a storage medium, so as to solve the technical problem that the rendering efficiency of the distribution graph is low in the prior art.
According to a first aspect of the present application, a rendering method of a distribution graph is disclosed, the method comprising:
responding to a rendering request aiming at a distribution diagram of image acquisition equipment, and acquiring rendering range information and scaling information which correspond to the distribution diagram currently;
dividing a rendering area corresponding to the rendering range information into a plurality of sub-areas according to the zooming information;
for each sub-region, determining the number information of the image acquisition equipment in the sub-region and the average position coordinate information of the image acquisition equipment in the sub-region;
and executing the rendering operation of the distribution diagram according to the quantity information corresponding to each sub-region and the average position coordinate information.
According to a second aspect of the present application, there is disclosed an apparatus for rendering a distribution pattern, the apparatus comprising:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for responding to a rendering request aiming at a distribution diagram of image acquisition equipment and acquiring rendering range information and scaling information which correspond to the distribution diagram currently;
the dividing module is used for dividing the rendering area corresponding to the rendering range information into a plurality of sub-areas according to the zooming information;
the first determining module is used for determining the number information of the image acquisition equipment in the sub-regions and the average position coordinate information of the image acquisition equipment in the sub-regions for each sub-region;
and the first rendering module is used for executing the rendering operation of the distribution diagram according to the quantity information corresponding to each sub-region and the average position coordinate information.
According to a third aspect of the present application, there is disclosed an electronic device comprising a memory, a processor and a computer program stored on the memory, the processor executing the computer program to implement the method of rendering a histogram as in the first aspect.
According to a fourth aspect of the present application, a computer readable storage medium is disclosed, having stored thereon a computer program/instructions which, when executed by a processor, implement the method of rendering a histogram as in the first aspect.
According to a fifth aspect of the present application, there is disclosed a computer program product comprising computer programs/instructions which, when executed by a processor, implement a method of rendering a histogram as in the first aspect.
In the embodiment of the application, in response to a rendering request for a distribution diagram of image acquisition equipment, rendering range information and scaling information corresponding to the distribution diagram at present can be acquired; dividing a rendering area corresponding to the rendering range information into a plurality of sub-areas according to the zooming information; determining the number information of the image acquisition equipment in each subarea and the average position coordinate information of the image acquisition equipment in each subarea; and executing the rendering operation of the distribution diagram according to the quantity information and the average position coordinate information corresponding to each sub-region.
Compared with the prior art, in the embodiment of the application, the rendering data of the distribution map is acquired based on the rendering range corresponding to the distribution map at present, so that the acquired data amount can be reduced; when in rendering, the obtained data is rendered according to the rendering range, so that the data rendering amount can be reduced; in addition, a plurality of image acquisition devices in each sub-area are aggregated and aggregated to form one image acquisition device for display, so that the rendering data volume can be further reduced, the rendering fluency of the distribution diagram is greatly improved, and the rendering efficiency of the distribution diagram is improved.
Drawings
Fig. 1 is an application scene diagram of a rendering method of a distribution diagram according to an embodiment of the present application;
FIG. 2 is a flow diagram of a method of rendering a histogram of one embodiment of the present application;
FIG. 3 is an exemplary diagram of a visualization area of an embodiment of the present application;
FIG. 4 is an exemplary diagram of a rendering region of one embodiment of the present application;
FIG. 5 is an exemplary diagram of a rendering region divided into a plurality of sub-regions according to one embodiment of the application;
FIG. 6 is an exemplary diagram of rendering data for sub-regions in a rendering region, according to one embodiment of the present application;
FIG. 7 is a flow chart of a method of rendering a histogram of another embodiment of the present application;
FIG. 8 is a schematic diagram of a rendering apparatus for histogram rendering according to an embodiment of the present application;
fig. 9 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the embodiments. Further, those skilled in the art will also appreciate that the embodiments described in the specification are presently preferred and that no particular act is required of the embodiments of the application.
In recent years, technical research based on artificial intelligence, such as computer vision, deep learning, machine learning, image processing, and image recognition, has been actively developed. Artificial Intelligence (AI) is an emerging scientific technology for studying and developing theories, methods, techniques and application systems for simulating and extending human Intelligence. The artificial intelligence subject is a comprehensive subject and relates to various technical categories such as chips, big data, cloud computing, internet of things, distributed storage, deep learning, machine learning and neural networks. Computer vision is an important branch of artificial intelligence, particularly a machine is used for identifying the world, and computer vision technologies generally comprise technologies such as face identification, living body detection, fingerprint identification and anti-counterfeiting verification, biological feature identification, face detection, pedestrian detection, target detection, pedestrian identification, image processing, image identification, image semantic understanding, image retrieval, character identification, video processing, video content identification, three-dimensional reconstruction, virtual reality, augmented reality, synchronous positioning and map construction (SLAM), computational photography, robot navigation and positioning and the like. With the research and progress of artificial intelligence technology, the technology is applied to many fields, such as safety precaution, city management, traffic management, building management, park management, face passage, face attendance, logistics management, warehouse management, robots, intelligent marketing, computational photography, mobile phone images, cloud services, smart homes, wearable equipment, unmanned driving, automatic driving, intelligent medical treatment, face payment, face unlocking, fingerprint unlocking, personal identification verification, smart screens, smart televisions, cameras, mobile internet, live webcasts, beauty cosmetics, medical beauty treatment, intelligent temperature measurement and the like.
Taking the fields of safety precaution, city management, traffic management, building management, garden management and the like as examples, at present, in order to facilitate a user to select image acquisition equipment, the distribution condition of the image acquisition equipment is presented to the user in a distribution diagram form, and when the distribution diagram of the image acquisition equipment is checked, an icon of the image acquisition equipment is displayed on the distribution diagram according to the installation position information of the image acquisition equipment. When the user selects the image acquisition device, for example, when the user needs to select the image acquisition device in beijing, the user may determine a local area corresponding to beijing, select a frame on the profile, select all the image acquisition devices deployed in beijing, and then perform business processing based on the selected image acquisition devices.
In the prior art, when the distribution condition of the image acquisition devices is presented to a user in a distribution diagram form, a large amount of data needs to be requested at one time, and then a large amount of image acquisition device information is drawn on a canvas at one time based on the requested large amount of data. However, the rendering efficiency of the distribution graph is low because the loading time is too long due to the fact that a large amount of data is requested at one time, and the CPU of the low-power-consumption device is jammed due to the fact that a large amount of information is drawn at one time.
In order to solve the above technical problem, an embodiment of the present application provides a rendering method of a distribution graph, an electronic device, and a storage medium.
First, a rendering method of a distribution graph provided in an embodiment of the present application is described below.
It should be noted that the rendering method of the distribution graph provided in the embodiment of the present application may be applied to a server alone, or may be applied to a client alone, or may be applied to the server and the client, and is implemented by the server and the client in a mutual cooperation manner, which is not limited in the embodiment of the present application.
In an application scenario, as shown in fig. 1, two execution entities are involved in the application scenario, which are respectively: the client 110 and the server 120 communicate with each other through a network, the client 110 sends a rendering request for an image acquisition device distribution diagram to the server 120, the server 120 determines image acquisition device data corresponding to the rendering request in response to the rendering request, returns the image acquisition device data to the client 110, and the client 110 performs rendering operation based on the received image acquisition device data.
In practical applications, the client 110 may be: a computer, a mobile phone, a desktop, a tablet computer, or a personal digital assistant, etc., the server 120 may be a server.
In the embodiment of the application, the distribution graph is a web product and can be loaded on screens of different clients to be displayed through a browser. It is understood that, in a real version of the map, according to the installation position information of the image capturing device, an icon of the image capturing device is displayed on the distribution diagram, and a user clicks the icon on the distribution diagram to view detailed information of the image capturing device, wherein different types of image capturing devices are different in icons on the distribution diagram, different states of image capturing devices are different in icons on the distribution diagram, and the types of image capturing devices may include: video streaming cameras, picture snappers, etc., the image capture device states may include: dropped, online, etc. The user can select the image acquisition equipment on the distribution diagram in a frame mode, and then business processing is carried out based on the image acquisition equipment.
Fig. 2 is a flowchart of a rendering method of a distribution graph according to an embodiment of the present application, and as shown in fig. 2, the method may include the following steps: step 201, step 202, step 203 and step 204, wherein,
in step 201, in response to a rendering request for a histogram of an image capture device, rendering range information and scaling information currently corresponding to the histogram are obtained.
In some embodiments, corresponding to the application scenario shown in fig. 1, a rendering request for the distribution diagram of the image capturing device is sent by the client, and after receiving the rendering request for the distribution diagram of the image capturing device sent by the client, the server obtains, in response to the rendering request for the distribution diagram of the image capturing device sent by the client, rendering range information and scaling information currently corresponding to the distribution diagram.
In practical applications, when a user slides the histogram displayed on the client, or zooms in or zooms out the histogram displayed on the client, the visualization range of the histogram displayed on the client changes, for example, when the histogram is zoomed out, the coordinates of the point locations at the lower left corner and the upper right corner of the visualization range change in real time because the scale of the histogram changes from front to back, and therefore the histogram displayed on the screen needs to be re-rendered. That is, a user performs a rendering trigger operation such as sliding or zooming a profile on the client, which triggers the client to initiate a rendering request.
In one example, when a client detects a user sliding distribution diagram, a rendering request is triggered to be sent to a server, after the server receives the rendering request sent by the client, rendering range information and scaling information corresponding to the distribution diagram at present are obtained, and some image acquisition device data in the range are loaded based on the rendering range information and the scaling information.
In some embodiments, to avoid frequent trigger interaction with the server, the client may do the following: and when the time interval between two rendering trigger operations made by the user is less than a certain time length, delaying the sending of the rendering request to the server for the next rendering trigger operation in the two rendering trigger operations.
For example, both the sliding profile and the zooming profile trigger operations, adding a trigger delay of 100 ms, avoiding frequent trigger interactions with the server.
In some embodiments, the rendering request may carry rendering range information and scaling information corresponding to the current distribution map, and at this time, the rendering range information and the scaling information corresponding to the current distribution map may be obtained from the rendering request.
In some embodiments, the rendering request may carry rendering range information currently corresponding to the distribution map, and at this time, the rendering range information currently corresponding to the distribution map may be obtained from the rendering request, and the scaling information currently corresponding to the distribution map is determined based on the rendering range information.
When the zoom information corresponding to the distribution map at present is determined based on the rendering range information, the current rendering area can be determined according to the position coordinates in the rendering range information, the actual area of the distribution map when the distribution map is displayed in a normal scale is determined according to the position coordinates, and the zoom information is determined according to the ratio of the size of the rendering area to the size of the actual area.
In some embodiments, the rendering request may carry current visualization range information of the distribution map, and in consideration of the fact that the visualization range is a range actually displayed on the client, the current visualization range information of the distribution map carried in the rendering request may be directly determined as the rendering range information, and then, image acquisition device data required for rendering by the client is loaded based on the rendering range information.
In this embodiment of the application, the visualization range is a range displayed on a display screen of the client, as shown in fig. 3, the visualization range information may be: and longitude and latitude information of the upper right corner and the lower left corner of the distribution map in the range displayed by the display screen, or longitude and latitude information of the upper left corner and the lower right corner.
Or, considering that frequent calculation is prevented when the histogram is changed in a small range, when the range information is rendered accurately, an appropriate range may be added on the basis of the actually displayed histogram range, at this time, the current visualization range information carrying the histogram is obtained from the rendering request, and the rendering range information corresponding to the histogram is determined based on the visualization range information and the preloaded range information, wherein the rendering area corresponding to the rendering range information is larger than the visualization area corresponding to the visualization range information.
For example, the longitude and latitude are respectively increased by 1 kilometer, the calculation range is 1 kilometer larger than the actual range, the calculation range is dragged in the range, and the amplification distribution map cannot be recalculated. And when the client side renders, only rendering the image acquisition equipment data in the visual range.
In some embodiments, the zoom information may be zoom levels or profile levels, where a profile level corresponds to one or more zoom levels. For example, the zoom levels of the histogram are 18 levels in total, P1, P2, …, P18, Pi < Pi +1, i 1,2, …,18, P1 indicates that the histogram is reduced to the minimum, P18 indicates that the histogram is enlarged to the maximum, and if each two zoom levels correspond to one histogram level, the histogram level is 9, T1, T2, …, T9, Tj < Tj +1, j 1,2, …, 9. The larger the zoom level is, the larger the distribution diagram level is, the larger the display scale of the distribution diagram is, and the smaller the range of the distribution diagram displayed on a screen with a limited size is; the smaller the zoom level, the smaller the profile level, the smaller the display scale of the profile, which refers to the ratio of the coordinate position on the profile to the corresponding coordinate position in the actual geographic position, and the larger the range of the profile displayed on the screen.
In one example, the current zoom level of the histogram is P12, and the corresponding histogram level is T6, and if the user clicks a zoom-out button on the histogram, the zoom level of the histogram is lowered, for example, to P14, and the corresponding histogram level is T7; alternatively, if the user clicks the zoom-in button on the profile, the zoom level of the profile may be increased, for example, to P8, with the corresponding profile level being T4.
In step 202, according to the scaling information, a rendering area corresponding to the rendering range information is divided into a plurality of sub-areas.
Considering that when the number of image capturing devices in the rendering area is large, all the image capturing devices may not be displayed due to the limited screen size, and there may be an overlap and a block of icons of the image capturing devices, for example, when 20W image capturing devices are accessed to a market, all the image capturing devices may not be displayed on a distribution diagram.
For such a situation, in the embodiment of the present application, an aggregation processing manner is adopted, and adjacent image acquisition devices in a certain range are aggregated into one image acquisition device to be displayed on a distribution diagram, and a display form of an aggregation result may be: image capture device icon + number of image capture devices.
In the embodiment of the application, if the image acquisition device is subjected to aggregation display, the rendering area needs to be divided into a plurality of sub-areas, and then, the aggregation processing of the image acquisition device is performed on each sub-area.
In some embodiments, the scaling information is a histogram level, and at this time, the number of sub-regions to be divided may be determined according to the histogram level, and then the rendering region is equally divided according to the determined number of sub-regions to obtain a plurality of sub-regions. In particular, the number of sub-regions may be quadratic to the profile level.
For example, the histogram level is 6, and for the rendering region shown in fig. 4, the rendering region may be divided into 36 sub-regions, 6 × 6, as shown in fig. 5.
It should be noted that the number of sub-regions includes, but is not limited to, a square of a histogram level, and in practical applications, different calculation methods may be adopted according to application scenarios, which is not limited in this embodiment of the present application.
In step 203, for each sub-region, the number information of the image capturing devices located within the sub-region and the average position coordinate information of the image capturing devices located within the sub-region are determined.
In the embodiment of the application, when the image acquisition device aggregation processing is performed on each sub-region, the number of the image acquisition devices located in each sub-region and the position coordinates of the image acquisition devices located in each sub-region need to be acquired, and the average position coordinates of the image acquisition devices located in each sub-region are calculated according to the position coordinates of the image acquisition devices located in each sub-region.
In view of the fact that each image acquisition device has a coordinate point position when actually installed, where the coordinate point position represents an actual position of the image acquisition device, in the embodiment of the present application, when acquiring the number of image acquisition devices located in each sub-area and the position coordinates of the image acquisition devices located in each sub-area, position coordinate information of each image acquisition device may be acquired from a local cache first; for each image acquisition device, determining whether the image acquisition device is positioned in the rendering area according to the position coordinate information of the image acquisition device; if so, determining the quantity information of the image acquisition equipment in each subregion according to the position information of each image acquisition equipment and the position range information corresponding to each subregion; and determining the average position coordinate information of the image acquisition equipment in the sub-region according to the position coordinate information of the image acquisition equipment in each sub-region.
For example, as shown in fig. 6, after the aggregation process, only one image capture device icon and the number of image capture devices in each sub-region are displayed, so that on one hand, the problem that the image capture device icons overlap or cannot be displayed can be avoided, and on the other hand, the amount of rendering data can be reduced.
In the embodiment of the present application, the reason why the average position coordinates of the real image capturing devices are adopted is that the position of the image capturing device coordinates on the distribution map is irregular, so that the distribution map looks more real.
In step 204, a rendering operation of the distribution map is performed according to the quantity information and the average position coordinate information corresponding to each sub-region.
In some embodiments, corresponding to the application scenario shown in fig. 1, the rendering operation of the distribution graph is performed by the client side, and at this time, the server side sends the quantity information and the average position coordinate information corresponding to each sub-region to the client side, where the quantity information and the average position coordinate information are used for the client side to render the distribution graph.
In the embodiment of the application, after receiving the quantity information and the average position information, the client only renders the quantity information and the average position information within the visualization range if the rendering range is larger than the visualization range. And after the rendering is finished, displaying the aggregated image acquisition equipment icons and the corresponding image acquisition equipment number on the distribution diagram of the client.
The client requests the server for image acquisition equipment data based on the visual range of the current distribution diagram by analyzing from the perspective of the client, so that the requested data volume can be reduced; during rendering, the visualization range is used as a rendering range, and requested data of the image acquisition equipment is rendered, so that the data volume of rendering can be reduced; in addition, the server side aggregates a plurality of image acquisition devices and assembles the image acquisition devices into one image acquisition device for display, so that the rendering data volume can be further reduced, the rendering fluency of the distribution diagram is greatly improved, and the rendering efficiency of the distribution diagram is improved. In addition, through interaction and cooperation between the client and the server, the relevant processing operation of calculation aggregation is migrated from the client to the server, and the service coupling degree is reduced.
As can be seen from the above embodiment, in this embodiment, the rendering data of the distribution map is obtained based on the rendering range currently corresponding to the distribution map, so that the obtained data amount can be reduced; when in rendering, the obtained data is rendered according to the rendering range, so that the data rendering amount can be reduced; in addition, a plurality of image acquisition devices in each sub-area are aggregated and aggregated to form one image acquisition device for display, so that the rendering data volume can be further reduced, the rendering fluency of the distribution diagram is greatly improved, and the rendering efficiency of the distribution diagram is improved.
Fig. 7 is a flowchart of a rendering method of a distribution chart according to another embodiment of the present application, and as shown in fig. 7, the method may include the following steps: step 701, step 702, step 703 and step 704, wherein,
in step 701, in response to a rendering request for a distribution diagram of an image acquisition device, rendering range information and scaling information currently corresponding to the distribution diagram are obtained.
In step 702, it is determined whether the number of image capturing devices in the rendering area corresponding to the rendering range information is greater than a first value, and/or whether the scaling level represented by the scaling information is less than a second value.
When the reduction level of the distribution diagram is small, the image acquisition equipment in the distribution diagram is displayed more densely, and icons of the image acquisition equipment can be overlapped and shielded; in addition, when the image capturing devices are displayed in a large number in the rendering area, the icons of the image capturing devices may be overlapped and blocked, so that the user cannot clearly know the actual distribution of the image capturing devices.
For such a situation, in the embodiment of the present application, whether to perform aggregate display on the image acquisition devices in the rendering area may be determined according to the number of the image acquisition devices in the rendering area and/or the reduction level of the distribution diagram, and if it is determined that there may be overlapping or shielding of icons of the image acquisition devices in the rendering area according to the number of the image acquisition devices in the rendering area and/or the reduction level of the distribution diagram, step 703 is performed to perform aggregate display on the image acquisition devices in the rendering area;
if it is determined that there may be no overlapping or shielding of the icons of the image capturing devices in the rendering area according to the number of the image capturing devices in the rendering area and the reduction level of the distribution map, step 704 is performed to normally display the image capturing devices in the rendering area, that is, to display the icons of all the image capturing devices in the rendering area.
In step 703, if the determination result indicates that the number of the image capturing devices in the rendering region corresponding to the rendering range information is greater than the first value and/or the zoom level represented by the zoom information is less than the second value, the rendering region corresponding to the rendering range information is divided into a plurality of sub-regions according to the zoom information, for each sub-region, the number information of the image capturing devices in the sub-region and the average position coordinate information of the image capturing devices in the sub-region are determined, and the rendering operation of the distribution map is performed according to the number information and the average position coordinate information corresponding to each sub-region.
In step 704, if the determination result indicates that the number of the image capturing devices in the rendering area corresponding to the rendering range information is not greater than the first value and the scaling level represented by the scaling information is not less than the second value, determining the position coordinate information of each image capturing device located in the rendering area, and performing the rendering operation of the distribution map according to the position coordinate information of each image capturing device in the rendering area.
In the embodiment of the application, if the reduction level of the distribution diagram is greater than a certain numerical value and the number of the image acquisition devices is small, the image acquisition devices can be displayed according to the actual coordinates of the image acquisition devices without aggregation.
According to the embodiment, the matched display mode can be selected according to the actual situation of the image acquisition equipment in the rendering area of the distribution diagram, and the display mode is more reasonable and flexible. In addition, the rendering data of the distribution diagram is obtained based on the rendering range corresponding to the current distribution diagram, so that the obtained data amount can be reduced; when the distribution diagram is rendered, the obtained data are rendered according to the rendering range, the data volume of the rendering can be reduced, the rendering smoothness of the distribution diagram is greatly improved, and the rendering efficiency of the distribution diagram is improved.
Fig. 8 is a schematic structural diagram of a histogram rendering apparatus according to an embodiment of the present application, and as shown in fig. 8, the histogram rendering apparatus 800 may include: an acquisition module 801, a partitioning module 802, a first determination module 803, and a first rendering module 804, wherein,
an obtaining module 801, configured to, in response to a rendering request for a distribution diagram of an image acquisition device, obtain rendering range information and scaling information currently corresponding to the distribution diagram;
a dividing module 802, configured to divide a rendering region corresponding to the rendering range information into a plurality of sub-regions according to the scaling information;
a first determining module 803, configured to determine, for each of the sub-regions, information on the number of image acquisition devices located in the sub-region and average position coordinate information of the image acquisition devices located in the sub-region;
a first rendering module 804, configured to perform a rendering operation of the distribution diagram according to the quantity information corresponding to each of the sub-regions and the average position coordinate information.
As can be seen from the above embodiment, in this embodiment, the rendering data of the distribution map is obtained based on the rendering range currently corresponding to the distribution map, so that the obtained data amount can be reduced; when in rendering, the obtained data is rendered according to the rendering range, so that the data rendering amount can be reduced; in addition, a plurality of image acquisition devices in each sub-area are aggregated and aggregated to form one image acquisition device for display, so that the rendering data volume can be further reduced, the rendering fluency of the distribution diagram is greatly improved, and the rendering efficiency of the distribution diagram is improved.
Optionally, as an embodiment, the obtaining module 801 may include:
the first obtaining submodule is used for obtaining the rendering range information and the zooming information which correspond to the distribution diagram currently from the rendering request; alternatively, the first and second electrodes may be,
and the second obtaining submodule is used for obtaining the rendering range information corresponding to the current distribution diagram from the rendering request and determining the scaling information corresponding to the current distribution diagram based on the rendering range information.
Optionally, as an embodiment, the obtaining module 801 may include:
a third obtaining submodule, configured to obtain current visualization range information of the distribution map from the rendering request; and determining rendering range information corresponding to the distribution diagram at present based on the visualization range information and the preloading range information, wherein a rendering area corresponding to the rendering range information is larger than a visualization area corresponding to the visualization range information.
Optionally, as an embodiment, the apparatus 800 for rendering a histogram may further include:
and the judging module is used for judging whether the number of the image acquisition devices in the rendering area corresponding to the rendering range information is larger than a first numerical value and/or judging whether the zooming level represented by the zooming information is smaller than a second numerical value.
Optionally, as an embodiment, the apparatus 800 for rendering a histogram may further include:
a second determining module, configured to determine, if the determination result indicates that the number of the image acquisition devices in the rendering area corresponding to the rendering range information is not greater than a first value and the scaling level represented by the scaling information is not less than a second value, position coordinate information of each image acquisition device located in the rendering area;
and the second rendering module is used for executing the rendering operation of the distribution diagram according to the position coordinate information of each image acquisition device in the rendering area.
Optionally, as an embodiment, the scaling information is a histogram level, where a histogram level corresponds to one or more scaling levels.
Optionally, as an embodiment, the dividing module 802 may include:
the dividing submodule is used for determining the number of sub-regions needing to be divided according to the distribution diagram level, wherein the number of the sub-regions is the quadratic power of the distribution diagram level; and equally dividing the rendering area according to the number of the sub-areas to obtain a plurality of sub-areas.
Optionally, as an embodiment, the first determining module 803 may include:
the determining submodule is used for acquiring position coordinate information of each image acquisition device; for each image acquisition device, determining whether the image acquisition device is located in the rendering area according to the position coordinate information of the image acquisition device; if so, determining the quantity information of the image acquisition equipment in each sub-area according to the position information of each image acquisition equipment and the position range information corresponding to each sub-area; and determining the average position coordinate information of the image acquisition equipment in the sub-regions according to the position coordinate information of the image acquisition equipment in each sub-region.
Optionally, as an embodiment, the obtaining module 801 may include:
the fourth obtaining submodule is used for responding to a rendering request which is sent by a client and aims at the distribution diagram of the image acquisition equipment, and obtaining the rendering range information and the zooming information which correspond to the distribution diagram at present;
the first rendering module 804 may include:
and the sending submodule is used for sending the quantity information and the average position coordinate information corresponding to each sub-region to the client, and the quantity information and the average position information are used for rendering the distribution diagram by the client.
Any one step and specific operation in any one step in the embodiment of the method for rendering the histogram provided by the application can be completed by a corresponding module in a rendering device of the histogram. The procedure of the respective operations performed by the respective modules in the rendering apparatus of the profile refers to the procedure of the respective operations described in the embodiment of the rendering method of the profile.
For the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.
Fig. 9 is a block diagram of an electronic device according to an embodiment of the present application. The electronic device includes a processing component 922, which further includes one or more processors, and memory resources, represented by memory 932, for storing instructions, such as application programs, that are executable by the processing component 922. The application programs stored in memory 932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 922 is configured to execute instructions to perform the above-described methods.
The electronic device may also include a power component 926 configured to perform power management of the electronic device, a wired or wireless network interface 950 configured to connect the electronic device to a network, and an input output (I/O) interface 958. The electronic device may operate based on an operating system stored in memory 932, such as Windows Server, MacOS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
According to yet another embodiment of the present application, there is also provided a computer readable storage medium having stored thereon a computer program/instructions which, when executed by a processor, implement the steps in the method for rendering a histogram as described in any one of the above embodiments.
According to yet another embodiment of the present application, there is also provided a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps in the method for rendering a histogram as described in any one of the above embodiments.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one of skill in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal 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 terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The rendering method of a distribution graph, the electronic device, and the storage medium provided by the present application are introduced in detail above, and specific examples are applied in the present application to explain the principles and embodiments of the present application, and the descriptions of the above embodiments are only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (12)
1. A method of rendering a distribution map, the method comprising:
responding to a rendering request aiming at a distribution diagram of image acquisition equipment, and acquiring rendering range information and scaling information which correspond to the distribution diagram currently;
dividing a rendering area corresponding to the rendering range information into a plurality of sub-areas according to the zooming information;
for each sub-region, determining the number information of the image acquisition equipment in the sub-region and the average position coordinate information of the image acquisition equipment in the sub-region;
and executing the rendering operation of the distribution diagram according to the quantity information corresponding to each sub-region and the average position coordinate information.
2. The method according to claim 1, wherein the obtaining rendering range information and scaling information corresponding to the histogram includes:
obtaining the rendering range information and the zooming information which are currently corresponding to the distribution diagram from the rendering request; alternatively, the first and second electrodes may be,
and obtaining the rendering range information currently corresponding to the distribution diagram from the rendering request, and determining the scaling information currently corresponding to the distribution diagram based on the rendering range information.
3. The method according to claim 1 or 2, wherein obtaining rendering range information corresponding to the current histogram includes:
acquiring the current visualization range information of the distribution diagram from the rendering request;
and determining rendering range information corresponding to the distribution diagram at present based on the visualization range information and the preloading range information, wherein a rendering area corresponding to the rendering range information is larger than a visualization area corresponding to the visualization range information.
4. The method according to any one of claims 1 to 3, wherein before dividing the rendering region corresponding to the rendering range information into a plurality of sub-regions according to the scaling information, the method further comprises:
and judging whether the number of the image acquisition devices in the rendering area corresponding to the rendering range information is larger than a first numerical value and/or judging whether the zoom level represented by the zoom information is smaller than a second numerical value, wherein the smaller the zoom level is, the smaller the display scale of the distribution diagram is, and the larger the zoom level is, the larger the display scale of the distribution diagram is.
5. The method according to claim 4, wherein if the determination result indicates that the number of image capturing devices in the rendering area corresponding to the rendering range information is not greater than a first value and the scaling level represented by the scaling information is not less than a second value, the method further comprises:
determining position coordinate information of each image acquisition device in the rendering area;
and executing the rendering operation of the distribution diagram according to the position coordinate information of each image acquisition device in the rendering area.
6. The method of any one of claims 1-5, wherein the scaling information is a histogram level, wherein a histogram level corresponds to one or more scaling levels.
7. The method according to claim 6, wherein the dividing the rendering region corresponding to the rendering range information into a plurality of sub-regions according to the scaling information comprises:
determining the number of sub-regions needing to be divided according to the distribution diagram level, wherein the number of the sub-regions is the square of the distribution diagram level;
and equally dividing the rendering area according to the number of the sub-areas to obtain a plurality of sub-areas.
8. The method according to any one of claims 1 to 7, wherein the determining, for each of the sub-regions, information on the number of image acquisition devices located in the sub-region and information on the average position coordinates of the image acquisition devices located in the sub-region comprises:
acquiring position coordinate information of each image acquisition device;
for each image acquisition device, determining whether the image acquisition device is located in the rendering area according to the position coordinate information of the image acquisition device;
if so, determining the quantity information of the image acquisition equipment in each sub-area according to the position information of each image acquisition equipment and the position range information corresponding to each sub-area; and determining the average position coordinate information of the image acquisition equipment in the sub-regions according to the position coordinate information of the image acquisition equipment in each sub-region.
9. The method according to any one of claims 1 to 8, wherein the obtaining rendering range information and scaling information corresponding to a profile of an image capture device in response to a rendering request for the profile comprises:
responding to a rendering request which is sent by a client and aims at a distribution diagram of image acquisition equipment, and acquiring rendering range information and scaling information which correspond to the distribution diagram currently;
the performing of the rendering operation of the distribution diagram according to the quantity information corresponding to each of the sub-regions and the average position coordinate information includes:
sending the quantity information and the average position coordinate information corresponding to each sub-region to the client, wherein the quantity information and the average position information are used for rendering the distribution diagram by the client.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to implement the method of any of claims 1-9.
11. A computer-readable storage medium, on which a computer program/instructions is stored, characterized in that the computer program/instructions, when executed by a processor, implements the method of any of claims 1-9.
12. A computer program product comprising computer programs/instructions, characterized in that the computer programs/instructions, when executed by a processor, implement the method of any of claims 1-9.
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