CN112235563B - Focusing test method and device, computer equipment and storage medium - Google Patents
Focusing test method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN112235563B CN112235563B CN201910635749.6A CN201910635749A CN112235563B CN 112235563 B CN112235563 B CN 112235563B CN 201910635749 A CN201910635749 A CN 201910635749A CN 112235563 B CN112235563 B CN 112235563B
- Authority
- CN
- China
- Prior art keywords
- focusing
- parameters
- group
- definition
- parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Studio Devices (AREA)
Abstract
The embodiment of the disclosure discloses a focusing test method, a focusing test device, computer equipment and a storage medium. The focusing test method comprises the following steps: determining at least one group of focusing parameters according to a preset focusing parameter determining strategy; based on each group of focusing parameters, controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object to obtain at least one target image; and determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameters according to the definition of each target image corresponding to each group of focusing parameters. The technical scheme of the embodiment of the disclosure overcomes the defects of large human workload and time waste caused by manual adjustment of focusing parameters in the conventional focusing test, and reduces the human workload and time of the focusing test.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of testing, in particular to a focusing testing method, a focusing testing device, a computing junction device and a storage medium.
Background
With the rapid development of shooting functions, users have increasingly higher requirements on shooting performance of mobile devices, and therefore, testing on focusing performance of the mobile devices is required.
In the existing focusing performance test process of a mobile device, in order to determine each focusing variable corresponding to the optimal focusing performance, manual adjustment of values of a plurality of focusing variables is generally involved.
The above-mentioned artificial process of adjusting the values of a plurality of focusing variables generally has a large artificial workload and wastes time, so that the test process is long.
Disclosure of Invention
The disclosure provides a focusing test method, a focusing test device, computer equipment and a storage medium, which reduce the artificial workload and time of focusing test.
In a first aspect, an embodiment of the present disclosure provides a focus test method, including:
determining at least one group of focusing parameters according to a preset focusing parameter determining strategy;
based on each group of focusing parameters, controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object to obtain at least one target image;
and determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters.
In a second aspect, an embodiment of the present disclosure further provides a focusing test device, including:
The focusing parameter determining module is used for determining at least one group of focusing parameters according to a preset focusing parameter determining strategy;
the target image acquisition module is used for controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object based on at least one group of focusing parameters respectively to obtain at least one target image;
and the focusing definition determining module is used for determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters.
In a third aspect, embodiments of the present disclosure further provide a computer device, comprising:
one or more processing devices;
a storage means for storing one or more programs;
the one or more programs, when executed by the one or more processing devices, cause the one or more processing devices to implement the focus test method as described in embodiments of the present disclosure.
In a fourth aspect, the disclosed embodiments also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a focus test method as described in the disclosed embodiments.
The embodiment of the disclosure determines at least one group of focusing parameters by determining a strategy according to preset focusing parameters; based on each group of focusing parameters, controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object to obtain at least one target image; the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter is determined according to the definition of each target image corresponding to each group of focusing parameters, so that the defects of high human workload and time waste caused by manually adjusting the focusing parameters in the existing focusing test are overcome, and the human workload and time of the focusing test are reduced.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
Fig. 1 is a flowchart of a focus test method according to an embodiment of the disclosure;
fig. 2 is a flowchart of a focus test method according to an embodiment of the disclosure;
FIG. 3 is a flowchart of a focus test method according to an embodiment of the disclosure;
fig. 4 is a schematic structural diagram of a focusing test device according to an embodiment of the disclosure;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
Example 1
Fig. 1 is a flowchart of a focus test method according to an embodiment of the disclosure. The embodiment is applicable to the situation that the focusing performance corresponding to different focusing parameter combinations is determined, the method can be executed by a focusing test device, the device can be realized in a software and/or hardware mode, and the device can be configured in computer equipment. As shown in fig. 1, the method may include the steps of:
S110, determining at least one group of focusing parameters according to a preset focusing parameter determining strategy.
The focusing parameter may include at least one of a focusing point position, a focusing area size, a focusing frequency, a delay between focusing and collecting, a photometry area position, and a photometry area size, wherein the focusing area is an area with a preset shape, a preset size, and a focusing point as a center.
Preferably, each set of focusing parameters determined above may be any combination of each focusing parameter described above, and the corresponding focusing parameters within each combination have a determined value. The preset focusing parameter determining strategy is used for determining the numerical value corresponding to the corresponding focusing parameter in any combination. For example, the strategy for determining the corresponding value of the corresponding focusing parameter in the combination may be to determine the corresponding value of the corresponding focusing parameter when the focusing effect is optimal according to historical experience data, and assign the corresponding value to the focusing effect to the corresponding focusing parameter; the strategy for determining the numerical value corresponding to the corresponding focusing parameter in the combination may also be to assign the reference value to the corresponding focusing parameter, and continuously adjust the reference value (randomly or regularly adjust) based on the reference value to obtain a plurality of numerical value combinations corresponding to the corresponding focusing parameter, and so on.
S120, respectively controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object based on each group of focusing parameters to obtain at least one target image.
In this embodiment, the number of the target images corresponding to each target object acquired by each group of focusing parameters may be one or more.
Preferably, when the set of focusing parameters includes the in-focus position, focusing is automatically performed at the in-focus position based on the set of focusing parameters; when the set of focusing parameters does not include the focusing point position, the focusing point position may be determined according to the received focusing point position determining instruction, or the focusing point position may be automatically determined, and focusing may be performed based on the set of focusing parameters at the determined focusing point position. Wherein the focus position determination instruction may preferably be input by a user by touching a display area of the mobile device; the automatic determination of the focal point position may be to randomly select one position as the focal point position, or may be to use a preset position as the focal point position.
For example, the number of target objects to be acquired is 10, and under each group of focusing parameters, 6 target images are acquired for each target object, so as to obtain 60 target images.
S130, determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters.
Each target image is an image acquired after focusing is completed, each target image comprises a focusing area, and the definition of each target image can be preferably the definition corresponding to the focusing area in each target image.
Preferably, the focusing definition of the image acquisition device may be determined according to the definition of the focusing area, and in particular: the focusing area of each target image has the corresponding definition, and the focusing definition of the image acquisition device corresponding to the corresponding parameter can be determined according to the acquired definition corresponding to the focusing area of each target image. Preferably, the average value corresponding to each definition can be used as the focusing definition, and a certain definition can be used as the focusing definition according to actual needs.
According to the focusing test method provided by the embodiment, at least one group of focusing parameters are determined by determining a strategy according to preset focusing parameters; based on each group of focusing parameters, controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object to obtain at least one target image; the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter is determined according to the definition of each target image corresponding to each group of focusing parameters, so that the defects of high human workload and time waste caused by manually adjusting the focusing parameters in the existing focusing test are overcome, and the human workload and time of the focusing test are reduced.
On the basis of the above embodiments, further, determining the focus definition of the image acquisition device corresponding to the corresponding focus parameter according to the definition of each target image corresponding to each group of focus parameters, includes:
determining the definition of each target image corresponding to each group of focusing parameters by using a definition detection algorithm;
the average value of each definition is calculated and taken as the focus definition.
Preferably, each target image may be input into an OPEN-TC or TCs (Traction Control System ) for sharpness determination. Specifically, in OPEN-TC or TCs, the definition corresponding to the focusing area in each target image may be determined using a definition detection algorithm based on Opencv. Preferably, the sharpness detection algorithm may include a sharpness detection algorithm based on a gradient function, a sharpness detection algorithm based on a gray differential function, or a sharpness detection algorithm based on an entropy function, etc., wherein the gradient function includes a Brenner gradient function, a teningrad gradient function, a Laplacian gradient function, etc.
Preferably, the definition corresponding to the focusing area in each target image is determined by using a definition detection algorithm, and meanwhile, the definition corresponding to the focusing area in each target image can be determined by using a manual observation method. And combining the definition obtained in the two modes, and determining the definition corresponding to the focusing area in each final target image.
For example, the sharpness of the target image is an arbitrary value between 0 and 10, 9 target images are acquired under a set of focusing parameters, the sharpness corresponding to the focusing areas is 9, 7, 8, 5, 7, 9, 3 and 1 respectively, the average value corresponding to the 9 sharpness is 6.22, and the sharpness corresponding to the image acquisition device is 6.22 under the corresponding focusing parameters.
On the basis of the above embodiments, further, after controlling the image capturing device of the mobile device to focus on and capture at least one target object based on at least one set of focusing parameters respectively, the method further includes:
and marking the focusing area in each target image.
In this embodiment, the focusing area in each target image may be determined by a labeling method, preferably, the focusing area may be labeled by a manual labeling method, or the focusing area may be automatically labeled in the process of collecting the image according to the position of the focusing point, the preset shape of the focusing area, and the preset size of the focusing area. It will be appreciated that where the position of the focal point, the preset shape of the focal region, and the preset size of the focal region are known, the position of the focal region of each target image may be known without labeling.
On the basis of the foregoing embodiments, further before controlling the image capturing device of the mobile device to focus on and capture at least one target object based on at least one set of focusing parameters, respectively, the method further includes:
the height and the pose of the image acquisition device are controlled to be unchanged, so that the problem of inaccurate focusing test caused by movement of the image acquisition device is solved. In addition, before controlling the image acquisition device of the mobile device to focus and acquire at least one target object based on at least one group of focusing parameters respectively to obtain at least one target image, other parameters besides the corresponding focusing parameters can be preferably controlled to be unchanged.
On the basis of the above embodiments, further, after determining the focus definition of the image acquisition device corresponding to the corresponding focus parameter according to the definition of each target image corresponding to each set of focus parameters, the method further includes:
comparing each focusing definition, and determining the maximum focusing definition with the maximum value;
and taking a group of focusing parameters corresponding to the maximum focusing definition as the optimal focusing parameters of the image acquisition device.
For example, based on a preset focusing parameter determining policy, 10 groups of focusing parameters are determined, and the focusing definitions of the image capturing devices corresponding to each group of focusing parameters are respectively 9, 7, 8, 5, 7, 9, 3, 1 and 6, and then the average value corresponding to the 10 focusing definitions is 6.2, and then the optimal focusing parameter of the image capturing device is 6.2.
Example two
Fig. 2 is a flowchart of a focus test method according to an embodiment of the disclosure. This embodiment may be combined with each of the alternatives of one or more embodiments described above, where the determining, according to a preset focus parameter determining policy, at least one set of focus parameters includes:
combining at least one focusing parameter to obtain at least one group of focusing parameter combinations corresponding to the focusing parameters;
and respectively endowing at least one first focusing parameter in each group of focusing parameter combinations with a corresponding first preset value to obtain at least one group of focusing parameters.
As shown in fig. 2, the method may include the steps of:
s210, combining at least one focusing parameter to obtain at least one group of focusing parameter combinations corresponding to the focusing parameters;
for example, the number of preset focusing parameters is 3, namely the focus position, the size of the focusing area and the focusing frequency, and the 3 focusing parameters are combined to obtain 
The group focusing parameter combinations are { focus position }, { focus area size }, { focus frequency }, { focus position, focus area size }, { focus area size, focus frequency }, { focus position, focus frequency }, and { focus position, focus area size, focus frequency }, respectively.
S220, respectively endowing at least one first focusing parameter in each group of focusing parameter combinations with a corresponding first preset value to obtain at least one group of focusing parameters.
The first preset value may be a value corresponding to the determined corresponding focusing parameter when the focusing effect is optimal according to the historical experience data.
Illustratively, when the focusing effect is optimal, the corresponding focusing point position is the center point position of the display area, the corresponding focusing area size is 1/9 of the display area, and the focusing frequency is 10, then the finally obtained at least one group of focusing parameters are { focusing point position is the center point position of the display area }, { focusing area size is 1/9 of the display area }, { focusing frequency is 10}, { focusing point position is the center point position of the display area, focusing area size is 1/9 of the display area }, { focusing area size is 1/9 of the display area, focusing frequency is 10}, { focusing point position is the center point position of the display area, focusing frequency is 10} and { focusing point position is the center point position of the display area, focusing area size is 1/9 of the display area, and focusing frequency is 10}.
S230, respectively controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object based on each group of focusing parameters to obtain at least one target image.
S240, determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters.
According to the focusing test method provided by the embodiment, at least one focusing parameter is combined to obtain at least one group of focusing parameter combinations corresponding to the focusing parameters, and corresponding first preset values are respectively given to at least one first focusing parameter in each group of focusing parameter combinations to obtain at least one group of focusing parameters; based on each group of focusing parameters, controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object to obtain at least one target image; the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter is determined according to the definition of each target image corresponding to each group of focusing parameters, so that the defects of high human workload and time waste caused by manually adjusting the focusing parameters in the existing focusing test are overcome, and the human workload and time of the focusing test are reduced.
Example III
Fig. 3 is a flowchart of a focus test method according to an embodiment of the disclosure. This embodiment may be combined with each of the alternatives of one or more embodiments described above, where the determining, according to a preset focus parameter determining policy, at least one set of focus parameters further includes:
combining at least one focusing parameter to obtain at least one group of focusing parameter combinations corresponding to the focusing parameters; for each group of focusing parameter combinations, determining at least one group of value combinations corresponding to the second focusing parameters based on a second preset value corresponding to at least one second focusing parameter and a preset value adjustment rule, wherein the at least one second focusing parameter is a focusing parameter contained in the corresponding focusing parameter combination;
and taking the at least one group of numerical combinations corresponding to each group of focusing parameter combinations as the at least one group of focusing parameters.
As shown in fig. 3, the method may include the steps of:
s310, combining at least one focusing parameter to obtain at least one group of focusing parameter combinations corresponding to the focusing parameters.
S320, determining at least one group of numerical combinations corresponding to the second focusing parameters based on a second preset numerical value corresponding to at least one second focusing parameter and a preset numerical value adjustment rule according to each group of focusing parameter combinations, wherein the at least one second focusing parameter is a focusing parameter contained in the corresponding focusing parameter combination.
The preset value adjustment rule may be to adjust the second preset value to a third preset value based on the second preset value, where the second preset value may be greater than the third preset value or less than the third preset value. Preferably, in the process of adjusting the second preset value to the third preset value, the difference between the reference value before each adjustment and the adjusted value may be a random difference or a fixed difference.
For example, when the combination of the focusing parameters is { focusing point position, focusing area size }, the second focusing parameter is focusing area size, the second preset value corresponding to the focusing area size is 1/18, the third preset value is 1/9, and the difference between the reference value before each adjustment and the adjusted value is a fixed difference value of 1/72 in the process of adjusting the second preset value to the third preset value, at least one combination of the values corresponding to the focusing area size is determined to include { focusing point position, focusing area size is 1/18}, and { focusing point position, focusing area size is 5/72} and { focusing point position, focusing area size is 1/12} and { focusing point position, focusing area size is 7/72} and { focusing point position, and focusing area size is 1/9} of the display area.
S330, at least one group of numerical combinations corresponding to each group of focusing parameter combinations is used as at least one group of focusing parameters.
For example, when the combination of the focusing parameters is { focusing point position, focusing area size }, the second focusing parameter is focusing area size, the second preset value corresponding to the focusing area size is 1/18, the third preset value is 1/9, and the difference between the reference value before each adjustment and the adjusted value is a fixed difference value of 1/72 in the process of adjusting the second preset value to the third preset value, at least one combination of the values corresponding to the focusing area size is determined to include { focusing point position, focusing area size is 1/18}, and { focusing point position, focusing area size is 5/72} and { focusing point position, focusing area size is 1/12} and { focusing point position, focusing area size is 7/72} and { focusing point position, and focusing area size is 1/9} of the display area. The other group of focusing parameter combinations are { focusing point position, focusing frequency }, the second focusing parameter is focusing frequency, the second preset value corresponding to the focusing frequency is 10, the third preset value is 20, in the process of adjusting the second preset value to the third preset value, the difference value between the reference value before each adjustment and the value after adjustment is a fixed difference value of 2, at least one group of value combinations corresponding to the size of the focusing area is determined to comprise { focusing point position, focusing frequency is 10}, { focusing point position, focusing frequency is 12}, { focusing point position, focusing frequency is 14}, { focusing point position, focusing frequency is 16}, { focusing point position, focusing frequency is 18} and { focusing point position, focusing frequency is 20}. At least one group of focusing parameters is 11 groups of numerical combinations corresponding to the two groups of focusing parameter combinations.
S340, respectively controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object based on each group of focusing parameters to obtain at least one target image.
S350, determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters.
According to the focusing test method provided by the embodiment, at least one focusing parameter is combined to obtain at least one group of focusing parameter combinations corresponding to the focusing parameters, and at least one group of numerical combinations corresponding to the second focusing parameters are determined based on second preset values and preset value adjustment rules corresponding to the at least one second focusing parameter aiming at each group of focusing parameter combinations, wherein the at least one second focusing parameter is the focusing parameter contained in the corresponding focusing parameter combination, and the at least one group of numerical combinations corresponding to each group of focusing parameter combinations are used as at least one group of focusing parameters; based on each group of focusing parameters, controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object to obtain at least one target image; the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter is determined according to the definition of each target image corresponding to each group of focusing parameters, so that the defects of high human workload and time waste caused by manually adjusting the focusing parameters in the existing focusing test are overcome, and the human workload and time of the focusing test are reduced.
Example IV
Fig. 4 is a schematic structural diagram of a focusing test device according to an embodiment of the disclosure. The embodiment can be applied to the situation that the focusing performance corresponding to different focusing parameter combinations is determined. The apparatus may be implemented in software and/or hardware, and the apparatus may be configured in a computer device. As shown in fig. 4, the apparatus may include:
a focusing parameter determining module 410, configured to determine at least one group of focusing parameters according to a preset focusing parameter determining policy;
the target image acquisition module 420 is configured to control an image acquisition device of the mobile device to focus and acquire at least one target object based on at least one set of focusing parameters, respectively, so as to obtain at least one target image;
the focusing definition determining module 430 is configured to determine the focusing definition of the image capturing device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters.
According to the focusing test device, at least one group of focusing parameters are determined through the focusing parameter determining module according to the preset focusing parameter determining strategy, the image acquisition device of the mobile device is controlled to focus and acquire at least one target object through the target image acquisition module based on each group of focusing parameters respectively, at least one target image is obtained, the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter is determined through the focusing definition determining module according to the definition of each target image corresponding to each group of focusing parameters respectively, the defects that in the existing focusing test, the manual work amount is large and time is wasted due to manual adjustment of the focusing parameters are overcome, and the manual work amount and time of the focusing test are reduced.
Based on the above technical solution, optionally, the focusing parameter determining module 410 specifically may include:
the first focusing parameter combination determining unit is used for combining at least one focusing parameter to obtain at least one group of focusing parameter combinations corresponding to the focusing parameters;
the first focusing parameter determining unit is used for respectively endowing at least one first focusing parameter in each group of focusing parameter combinations with a corresponding first preset value to obtain at least one group of focusing parameters.
Based on the above technical solution, optionally, the focusing parameter determining module 410 may specifically further include:
the second focusing parameter combination determining unit is used for combining at least one focusing parameter to obtain at least one group of focusing parameter combinations corresponding to the focusing parameters;
the numerical combination determining unit is used for determining at least one group of numerical combinations corresponding to the second focusing parameters based on a second preset numerical value corresponding to at least one second focusing parameter and a preset numerical value adjustment rule, wherein the at least one second focusing parameter is a focusing parameter contained in the corresponding focusing parameter combination;
and the second focusing parameter determining unit is used for taking at least one group of numerical combinations corresponding to each group of focusing parameter combinations as at least one group of focusing parameters.
Based on the above technical solution, optionally, the focusing definition determining module 430 specifically may include:
the definition determining unit is used for respectively determining the definition of each target image corresponding to each group of focusing parameters by utilizing a definition detection algorithm;
and the focusing definition determining unit is used for calculating the average value of each definition and taking the average value as the focusing definition.
On the basis of the above technical solution, optionally, the focusing test device may further include:
the labeling module is used for controlling the image acquisition device of the mobile equipment to focus and acquire at least one target object based on at least one group of focusing parameters respectively, and labeling focusing areas in each target image after at least one target image is obtained.
On the basis of the above technical solution, optionally, the focusing test device may further include:
the height pose determining module is used for controlling the image acquisition device of the mobile equipment to focus and acquire at least one target object based on at least one group of focusing parameters respectively, and controlling the height and pose of the image acquisition device to be unchanged before at least one target image is obtained.
On the basis of the above technical solution, optionally, the focusing test device may further include:
The optimal focusing parameter determining module is used for comparing each focusing definition after determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters, and determining the maximum focusing definition with the largest numerical value;
and taking a group of focusing parameters corresponding to the maximum focusing definition as the optimal focusing parameters of the image acquisition device.
The focusing test device provided by the embodiment of the disclosure can execute the focusing test method provided by the embodiment of the disclosure, and has the corresponding functional modules and beneficial effects of the execution method.
Example five
Referring now to FIG. 5, there is illustrated a schematic diagram of a computer device 500 suitable for use in implementing embodiments of the present disclosure. The computer devices in the embodiments of the present disclosure may include, but are not limited to, devices such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like. The computer device illustrated in fig. 5 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 5, the computer apparatus 500 may include a processing device (e.g., a central processing unit, a graphics processor, etc.) 501, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage device 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the computer device 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
In general, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 507 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 508 including, for example, magnetic tape, hard disk, etc.; and communication means 509. The communication means 509 may allow the computer device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 shows computer apparatus 500 with various devices, it should be understood that not all illustrated devices are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or from the storage means 508, or from the ROM 502. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 501.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be embodied in the computer device; or may exist alone without being assembled into the computer device.
The computer readable medium carries one or more programs which, when executed by the computer device, cause the computer device to: determining at least one group of focusing parameters according to a preset focusing parameter determining strategy; based on each group of focusing parameters, controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object to obtain at least one target image; and determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including, but not limited to, an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods, apparatus, computer devices, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules, units and sub-units described in the embodiments of the present disclosure may be implemented by software, or may be implemented by hardware. The name of a module, a unit or a subunit does not in some cases define the module, the unit or the subunit itself, for example, the focusing parameter determining module may also be described as "a module for determining at least one set of focusing parameters according to a preset focusing parameter determining policy", and the sharpness determining unit may also be described as "a unit for determining, by using a sharpness detection algorithm, sharpness of each of the target images corresponding to each set of the focusing parameters, respectively".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In accordance with one or more embodiments of the present disclosure, example one provides a focus test method, comprising:
determining at least one group of focusing parameters according to a preset focusing parameter determining strategy;
based on each group of focusing parameters, controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object to obtain at least one target image;
and determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameters according to the definition of each target image corresponding to each group of focusing parameters.
According to one or more embodiments of the present disclosure, a second example provides a focus test method, based on the focus test method of the first example, determining at least one set of focus parameters according to a preset focus parameter determination policy, including:
combining at least one focusing parameter to obtain at least one group of focusing parameter combination corresponding to the focusing parameter;
and respectively endowing at least one first focusing parameter in each group of focusing parameter combinations with a corresponding first preset value to obtain at least one group of focusing parameters.
According to one or more embodiments of the present disclosure, an example three provides a focus test method, based on the focus test method of example one, determining a policy according to a preset focus parameter, determining at least one set of focus parameters, further including:
Combining at least one focusing parameter to obtain at least one group of focusing parameter combination corresponding to the focusing parameter;
for each group of focusing parameter combinations, determining at least one group of value combinations corresponding to the second focusing parameters based on a second preset value corresponding to at least one second focusing parameter and a preset value adjustment rule, wherein the at least one second focusing parameter is a focusing parameter contained in the corresponding focusing parameter combination;
and at least one group of numerical combinations corresponding to each group of focusing parameter combinations is used as at least one group of focusing parameters.
According to one or more embodiments of the present disclosure, a fourth embodiment provides a focus test method, based on the focus test method of the first embodiment, determining a focus definition of an image capturing device corresponding to each focus parameter according to a definition of each target image corresponding to each group of focus parameters, including:
determining the definition of each target image corresponding to each group of focusing parameters by using a definition detection algorithm;
the average value of each definition is calculated and taken as the focus definition.
According to one or more embodiments of the present disclosure, an example fifth provides a focusing test method, which, based on the focusing test methods of examples one to four, after controlling an image acquisition device of a mobile device to focus on and acquire at least one target object based on at least one set of focusing parameters, respectively, and obtaining at least one target image, further includes:
And marking the focusing area in each target image.
According to one or more embodiments of the present disclosure, an example sixth provides a focusing test method, based on the focusing test methods of examples one to four, before controlling an image acquisition device of a mobile device to focus and acquire at least one target object based on at least one set of focusing parameters, respectively, to obtain at least one target image, further including:
the height and the pose of the image acquisition device are controlled to be unchanged.
According to one or more embodiments of the present disclosure, an seventh example provides a focus test method, which further includes, on the basis of the focus test methods of examples one to four, after determining a focus definition of an image capturing device corresponding to each focus parameter according to a definition of each target image corresponding to each set of focus parameters, respectively:
comparing each focusing definition, and determining the maximum focusing definition with the maximum value;
and taking a group of focusing parameters corresponding to the maximum focusing definition as the optimal focusing parameters of the image acquisition device.
According to one or more embodiments of the present disclosure, example eight provides a focus test apparatus, comprising:
The focusing parameter determining module is used for determining at least one group of focusing parameters according to a preset focusing parameter determining strategy;
the target image acquisition module is used for controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object based on at least one group of focusing parameters respectively to obtain at least one target image;
and the focusing definition determining module is used for determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters.
According to one or more embodiments of the present disclosure, example nine provides a computer device comprising:
one or more processing devices;
a storage means for storing one or more programs;
when the one or more programs are executed by the one or more processing devices, the one or more processing devices are caused to implement the focus test method as in any of examples one to seven.
According to one or more embodiments of the present disclosure, example ten provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a focus test method as in any of examples one to seven.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims.
Claims (7)
1. A focus test method, comprising:
determining at least one group of focusing parameters according to a preset focusing parameter determining strategy; the focusing parameters comprise at least one of focusing position, focusing area size, focusing frequency and delay between focusing and acquisition, wherein the focusing area is an area which is in a preset shape, in a preset size and takes the focusing point as the center;
based on each group of focusing parameters, controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object to obtain at least one target image;
determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters;
after determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters, the method further comprises:
Comparing each focusing definition, and determining the maximum focusing definition with the maximum value;
taking a group of focusing parameters corresponding to the maximum focusing definition as the optimal focusing parameters of the image acquisition device;
the determining, according to a preset focusing parameter determining policy, at least one group of focusing parameters includes:
combining at least one focusing parameter to obtain at least one group of focusing parameter combinations corresponding to the focusing parameters;
for each group of focusing parameter combinations, determining a value combination corresponding to at least one second focusing parameter based on a second preset value corresponding to the at least one second focusing parameter and a preset value adjustment rule, wherein the at least one second focusing parameter is a focusing parameter contained in the corresponding focusing parameter combination;
and taking the numerical combination corresponding to each group of focusing parameter combination as the at least one group of focusing parameters.
2. The method according to claim 1, wherein determining the focus sharpness of the image capturing device corresponding to the respective focus parameter according to the sharpness of each of the target images corresponding to each set of focus parameters, respectively, comprises:
determining the definition of each target image corresponding to each group of focusing parameters by using a definition detection algorithm;
And calculating an average value of each definition, and taking the average value as the focusing definition.
3. The method according to any one of claims 1-2, further comprising, after said controlling the image capturing means of the mobile device to focus on and capture at least one target object based on at least one set of focus parameters, respectively, obtaining at least one target image:
and marking the focusing area in each target image.
4. The method according to any one of claims 1-2, further comprising, before said controlling the image acquisition means of the mobile device to focus on and acquire at least one target object based on at least one set of focus parameters, respectively:
and controlling the height and the pose of the image acquisition device to be unchanged.
5. A focus test device, comprising:
the focusing parameter determining module is used for determining at least one group of focusing parameters according to a preset focusing parameter determining strategy; the focusing parameters comprise at least one of focusing point position, focusing area size, focusing frequency and delay between focusing and acquisition, wherein the focusing area is an area which is in a preset shape, in a preset size and takes the focusing point as the center;
The target image acquisition module is used for controlling an image acquisition device of the mobile equipment to focus and acquire at least one target object based on at least one group of focusing parameters respectively to obtain at least one target image;
the focusing definition determining module is used for determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters;
the optimal focusing parameter determining module is used for comparing each focusing definition after determining the focusing definition of the image acquisition device corresponding to the corresponding focusing parameter according to the definition of each target image corresponding to each group of focusing parameters, and determining the maximum focusing definition with the largest numerical value;
taking a group of focusing parameters corresponding to the maximum focusing definition as the optimal focusing parameters of the image acquisition device;
the determining, according to a preset focusing parameter determining policy, at least one group of focusing parameters includes:
combining at least one focusing parameter to obtain at least one group of focusing parameter combinations corresponding to the focusing parameters;
for each group of focusing parameter combinations, determining a value combination corresponding to at least one second focusing parameter based on a second preset value corresponding to the at least one second focusing parameter and a preset value adjustment rule, wherein the at least one second focusing parameter is a focusing parameter contained in the corresponding focusing parameter combination;
And taking the numerical combination corresponding to each group of focusing parameter combination as the at least one group of focusing parameters.
6. A computer device, the computer device comprising:
one or more processing devices;
a storage means for storing one or more programs;
when the one or more programs are executed by the one or more processing devices, the one or more processing devices are caused to implement the focus test method as recited in any one of claims 1-4.
7. A computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements a focus test method as claimed in any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910635749.6A CN112235563B (en) | 2019-07-15 | 2019-07-15 | Focusing test method and device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910635749.6A CN112235563B (en) | 2019-07-15 | 2019-07-15 | Focusing test method and device, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112235563A CN112235563A (en) | 2021-01-15 |
| CN112235563B true CN112235563B (en) | 2023-06-30 |
Family
ID=74111100
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910635749.6A Active CN112235563B (en) | 2019-07-15 | 2019-07-15 | Focusing test method and device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112235563B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113837079B (en) * | 2021-09-24 | 2024-05-14 | 苏州贝康智能制造有限公司 | Automatic focusing method, device, computer equipment and storage medium of microscope |
| CN113784119B (en) * | 2021-09-26 | 2023-05-02 | 联想(北京)有限公司 | Focusing detection method and device and electronic equipment |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101562701A (en) * | 2009-03-25 | 2009-10-21 | 北京航空航天大学 | Digital focusing method and digital focusing device used for optical field imaging |
| JP2011043776A (en) * | 2009-08-24 | 2011-03-03 | Sanyo Electric Co Ltd | Electronic camera |
| DE102013004120A1 (en) * | 2012-03-09 | 2013-09-12 | Htc Corporation | Electronic device e.g. smart phone has lens module whose focus is adjusted when shift in focus condition of image frame is satisfied, and preprocessing unit is provided to process image frame to provide focus information of frame |
| CN103905732A (en) * | 2014-04-02 | 2014-07-02 | 深圳市中兴移动通信有限公司 | Shooting method and shooting device |
| CN106303205A (en) * | 2015-06-12 | 2017-01-04 | 中兴通讯股份有限公司 | Focusing area method of adjustment and device |
| CN106961553A (en) * | 2017-03-27 | 2017-07-18 | 广东欧珀移动通信有限公司 | The focusing method of testing and system of mobile device, mobile device |
| CN107277381A (en) * | 2017-08-18 | 2017-10-20 | 成都市极米科技有限公司 | Camera focusing method and device |
| CN107613208A (en) * | 2017-09-29 | 2018-01-19 | 努比亚技术有限公司 | Adjusting method and terminal, the computer-readable storage medium of a kind of focusing area |
| CN107749982A (en) * | 2017-11-29 | 2018-03-02 | 北京小米移动软件有限公司 | For testing device, method and the controller of camera auto-focusing |
| CN109495689A (en) * | 2018-12-29 | 2019-03-19 | 北京旷视科技有限公司 | A kind of image pickup method, device, electronic equipment and storage medium |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103369228A (en) * | 2012-03-26 | 2013-10-23 | 百度在线网络技术（北京）有限公司 | Camera setting method and device, and camera |
| CN103197491B (en) * | 2013-03-28 | 2016-03-30 | 华为技术有限公司 | The method of fast automatic focusing and image collecting device |
| US10321208B2 (en) * | 2015-10-26 | 2019-06-11 | Alpinereplay, Inc. | System and method for enhanced video image recognition using motion sensors |
| US10148943B2 (en) * | 2016-08-08 | 2018-12-04 | Fotonation Limited | Image acquisition device and method based on a sharpness measure and an image acquistion parameter |
| CN106791358B (en) * | 2016-11-16 | 2021-03-05 | Oppo广东移动通信有限公司 | Terminal photographing method and device and terminal |
| CN107124555B (en) * | 2017-05-31 | 2020-01-10 | Oppo广东移动通信有限公司 | Method and device for controlling focusing, computer equipment and computer readable storage medium |
-
2019
- 2019-07-15 CN CN201910635749.6A patent/CN112235563B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101562701A (en) * | 2009-03-25 | 2009-10-21 | 北京航空航天大学 | Digital focusing method and digital focusing device used for optical field imaging |
| JP2011043776A (en) * | 2009-08-24 | 2011-03-03 | Sanyo Electric Co Ltd | Electronic camera |
| DE102013004120A1 (en) * | 2012-03-09 | 2013-09-12 | Htc Corporation | Electronic device e.g. smart phone has lens module whose focus is adjusted when shift in focus condition of image frame is satisfied, and preprocessing unit is provided to process image frame to provide focus information of frame |
| CN103905732A (en) * | 2014-04-02 | 2014-07-02 | 深圳市中兴移动通信有限公司 | Shooting method and shooting device |
| CN106303205A (en) * | 2015-06-12 | 2017-01-04 | 中兴通讯股份有限公司 | Focusing area method of adjustment and device |
| CN106961553A (en) * | 2017-03-27 | 2017-07-18 | 广东欧珀移动通信有限公司 | The focusing method of testing and system of mobile device, mobile device |
| CN107277381A (en) * | 2017-08-18 | 2017-10-20 | 成都市极米科技有限公司 | Camera focusing method and device |
| CN107613208A (en) * | 2017-09-29 | 2018-01-19 | 努比亚技术有限公司 | Adjusting method and terminal, the computer-readable storage medium of a kind of focusing area |
| CN107749982A (en) * | 2017-11-29 | 2018-03-02 | 北京小米移动软件有限公司 | For testing device, method and the controller of camera auto-focusing |
| CN109495689A (en) * | 2018-12-29 | 2019-03-19 | 北京旷视科技有限公司 | A kind of image pickup method, device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112235563A (en) | 2021-01-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111784712B (en) | Image processing method, device, equipment and computer readable medium | |
| CN110516678B (en) | Image processing method and device | |
| CN110728622B (en) | Fisheye image processing method, device, electronic equipment and computer readable medium | |
| CN110349107B (en) | Image enhancement method, device, electronic equipment and storage medium | |
| CN113962859B (en) | Panorama generation method, device, equipment and medium | |
| CN114022662B (en) | Image recognition method, device, equipment and medium | |
| CN112348748B (en) | Image special effect processing method, device, electronic equipment and computer readable storage medium | |
| CN110288625B (en) | Method and apparatus for processing image | |
| CN112235563B (en) | Focusing test method and device, computer equipment and storage medium | |
| CN111757100B (en) | Method and device for determining camera motion variation, electronic equipment and medium | |
| CN111915532B (en) | Image tracking method and device, electronic equipment and computer readable medium | |
| CN111369472B (en) | Image defogging method and device, electronic equipment and medium | |
| CN111586295B (en) | Image generation method and device and electronic equipment | |
| CN111833459A (en) | Image processing method and device, electronic equipment and storage medium | |
| CN113364993B (en) | Exposure parameter value processing method and device and electronic equipment | |
| CN116071280A (en) | Video complement method, device, medium and electronic equipment | |
| CN110348374B (en) | Vehicle detection method and device, electronic equipment and storage medium | |
| CN113066166A (en) | Image processing method and device and electronic equipment | |
| CN112308809B (en) | Image synthesis method, device, computer equipment and storage medium | |
| CN114187367A (en) | Camera external parameter calibration method and device, electronic equipment and storage medium | |
| CN115086541A (en) | Shooting position determining method, device, equipment and medium | |
| CN112037280A (en) | Object distance measuring method and device | |
| CN115086538A (en) | Shooting position determining method, device, equipment and medium | |
| CN112235503A (en) | Focusing test method and device, computer equipment and storage medium | |
| CN114157848B (en) | Projection device correction method, projection device correction device, storage medium and projection device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |