CN112235563A - Focusing test method and device, computer equipment and storage medium - Google Patents
Focusing test method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the disclosure discloses a focusing test method and device, computer equipment and a storage medium. The focusing test method comprises the following steps: determining a strategy according to a preset focusing parameter, and determining at least one group of focusing parameters; 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; 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. The technical scheme of the embodiment of the disclosure overcomes the defects of large manual workload and time waste caused by manually adjusting the focusing parameters in the conventional focusing test, and reduces the manual 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 and device, a computing node device and a storage medium.
Background
With the rapid development of the shooting function, the shooting performance of the mobile device is required to be higher and higher by users, and for this reason, the focusing performance of the mobile device needs to be tested.
In the existing focusing performance testing process of mobile equipment, in order to determine each focusing variable corresponding to the optimal focusing performance, the values of a plurality of focusing variables are usually adjusted manually.
The process of manually adjusting the values of the plurality of focusing variables generally has a large manual workload and wastes time, so that the test process is long.
Disclosure of Invention
The present disclosure provides a focus test method, apparatus, computer device and storage medium, which reduces the manual workload and time of focus test.
In a first aspect, an embodiment of the present disclosure provides a focus test method, including:
determining a strategy according to a preset focusing parameter, and determining at least one group of focusing parameters;
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;
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 focus testing apparatus, including:
the focusing parameter determining module is used for determining a strategy according to a preset focusing parameter and determining at least one group of focusing parameters;
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, an embodiment of the present disclosure further provides a computer device, including:
one or more processing devices;
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 according to the embodiment of the present disclosure.
In a fourth aspect, the disclosed embodiments also provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the focus test method according to 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; 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; 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 large manual workload and time waste caused by manual adjustment of the focusing parameters in the conventional focusing test are overcome, and the manual workload and time of the focusing test are reduced.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 is a flowchart of a focus testing method according to an embodiment of the disclosure;
fig. 2 is a flowchart of a focus testing method according to an embodiment of the disclosure;
FIG. 3 is a flowchart of a focus testing method according to an embodiment of the disclosure;
fig. 4 is a schematic structural diagram of a focus testing apparatus according to an embodiment of the disclosure;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present 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 are shown in the 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 rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the 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. Moreover, 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 "include" and variations thereof as used herein are 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". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
Example one
Fig. 1 is a flowchart of a focus testing method according to an embodiment of the disclosure. The present embodiment is applicable to the case of determining the focusing performance corresponding to different focusing parameter combinations, and the method may be executed by a focusing test apparatus, which may be implemented in software and/or hardware, and may be configured in a computer device. As shown in fig. 1, the method may include the steps of:
s110, determining a strategy according to a preset focusing parameter, and determining at least one group of focusing parameters.
The focusing parameters may include at least one of a focusing point position, a focusing area size, a focusing frequency, a time delay between focusing and collecting, a light metering area position, and a light metering 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 the determined focusing parameters may be any combination of each of the determined focusing parameters, and the corresponding focusing parameters in each combination have determined values. The preset focusing parameter determination strategy is used for determining the arbitrary combination and the numerical value corresponding to the focusing parameter in the combination. For example, the strategy for determining the value corresponding to the corresponding focusing parameter in the combination may be to determine the value corresponding to the focusing parameter when the focusing effect is optimal according to historical empirical data, and assign the value corresponding to the focusing parameter when the focusing effect is optimal to the corresponding focusing parameter; the strategy for determining the 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) on the basis of the reference value to obtain a plurality of value combinations corresponding to the corresponding focusing parameter, and the like.
And S120, 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 respectively to obtain at least one target image.
In this embodiment, each set of focusing parameters corresponds to the number of the acquired target images corresponding to each target object, which may be one or multiple.
Preferably, when a focusing position is included in a set of focusing parameters, focusing is automatically performed at the focusing position based on the set of focusing parameters; when a focusing parameter set does not include a focusing position, the focusing position can be determined according to the received focusing position determination instruction, or the focusing position is automatically determined, and focusing is performed based on the focusing parameter set at the determined focusing 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 focus position may be a position in which a position is randomly selected as the focus, or a position in which a preset position is taken as the focus.
Illustratively, the number of target objects to be acquired is 10, and under each set of focusing parameters, 6 target images are acquired for each target object, resulting in 60 target images.
And 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 capturing device may be determined according to the definition of the focusing area, specifically: the focusing region 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 region of each target image. Preferably, the average value corresponding to each definition may be used as the focusing definition, and a certain definition may also be used as the focusing definition according to actual needs.
In the focusing test method provided by this embodiment, at least one set of focusing parameters is determined by determining a policy according to preset focusing parameters; 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; 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 large manual workload and time waste caused by manual adjustment of the focusing parameters in the conventional focusing test are overcome, and the manual workload and time of the focusing test are reduced.
On the basis of the foregoing embodiments, further 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 set of focusing parameters, respectively, includes:
respectively 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 sharpness is calculated, and the average value is taken as the in-focus sharpness.
Preferably, each target image may be input to an OPEN-TC or TCs (Traction Control System) for sharpness determination. Specifically, in OPEN-TC or TCs, the sharpness corresponding to the focused area in each target image may be determined by using a sharpness 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 difference function, or a sharpness detection algorithm based on an entropy function, etc., wherein the gradient function includes a Brenner gradient function, a Tenengrad gradient function, or a Laplacian gradient function, etc.
Preferably, while the definition detection algorithm is used to determine the definition corresponding to the focusing region in each target image, the definition corresponding to the focusing region in each target image may also be determined by using a manual observation method. And finally, determining the definition corresponding to the focusing area in each target image by combining the definitions obtained in the two ways.
Illustratively, the definition of the target image is an arbitrary value between 0 and 10, 9 target images are acquired under a set of focusing parameters, the definition corresponding to the focusing area is 9, 7, 8, 5, 7, 9, 3, 1 respectively, then the average value corresponding to the above 9 definitions is 6.22, and the focusing definition corresponding to the image acquisition device is 6.22 under the corresponding focusing parameter.
On the basis of the foregoing embodiments, further, after controlling an image capturing device of the mobile device to focus and capture at least one target object based on at least one set of focusing parameters, respectively, to obtain at least one target image, the method further includes:
labeling the focusing area in each target image.
In this embodiment, the focusing area in each target image may be determined by a labeling manner, and preferably, the focusing area may be labeled by a manual labeling method, or the focusing area may be automatically labeled according to the position of the focusing point, the preset shape of the focusing area, and the preset size of the focusing area in the process of acquiring the image. It can be understood that, when the position of the focus point, the preset shape of the focusing area, and the preset size of the focusing area are known, the position of the focusing area of each target image can be known without labeling.
On the basis of the foregoing embodiments, before controlling the image capturing device of the mobile device to focus and capture at least one target object based on at least one set of focusing parameters, respectively, to obtain at least one target image, 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 capturing device of the mobile device to focus and capture the at least one target object based on the at least one set of focusing parameters, respectively, to obtain the at least one target image, it is preferable that parameters other than the corresponding focusing parameters are also controlled to be kept unchanged.
On the basis of the foregoing embodiments, further 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 set of focusing parameters, the method further includes:
comparing each focusing definition, and determining the maximum focusing definition with the maximum 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.
Illustratively, based on a preset focusing parameter determination strategy, 10 sets of focusing parameters are determined, the focusing definitions of the image capturing devices corresponding to each set of focusing parameters are 9, 7, 8, 5, 7, 9, 3, 1, and 6, respectively, then the average value corresponding to the above 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 testing method according to an embodiment of the disclosure. This embodiment may be combined with each optional solution in one or more of the above embodiments, and in this embodiment, the determining at least one set of focusing parameters according to the preset focusing parameter determining policy 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 combination with a corresponding first preset numerical 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;
illustratively, the number of the preset focusing parameters is 3, which are the focusing point position, the focusing area size and the focusing frequency, and the 3 focusing parameters are combined to obtain the focusing parameter
The group focus 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.
And S220, respectively endowing at least one first focusing parameter in each group of focusing parameter combination 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 focusing parameter determined according to historical empirical data when the focusing effect is optimal.
For example, when the focusing effect is optimal, the corresponding focusing point position is the central 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 set of focusing parameters are { the focusing point position is the center point position of the display area }, { the focusing area size is 1/9 of the display area }, { the focusing frequency is 10}, and { the focusing point position is the center point position of the display area, 1/9 where the focus area size is the display area, { 1/9 where the focus area size is the display area, 10 for focus frequency, { focus position as center point position of display area, 10 for focus frequency } and { focus position as center point position of display area, 1/9 for focus area size, 10 for focus frequency }.
And S230, 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 respectively 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.
In the focusing test method provided in this embodiment, at least one focusing parameter combination corresponding to a focusing parameter is obtained by combining at least one focusing parameter, and a corresponding first preset value is assigned to at least one first focusing parameter in each focusing parameter combination, so as to obtain at least one focusing parameter; 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; 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 large manual workload and time waste caused by manual adjustment of the focusing parameters in the conventional focusing test are overcome, and the manual workload and time of the focusing test are reduced.
EXAMPLE III
Fig. 3 is a flowchart of a focus testing method according to an embodiment of the disclosure. This embodiment may be combined with each optional solution in one or more of the foregoing embodiments, in this embodiment, the determining at least one set of focusing parameters according to a preset focusing parameter determining policy 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 at least one second focusing parameter based on a second preset value corresponding to the 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 value 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 the at least one focusing parameter to obtain at least one group of focusing parameter combination corresponding to the focusing parameter.
S320, determining, for each group of focusing parameter combinations, at least one group of value combinations corresponding to the second focusing parameter based on a second preset value corresponding to the at least one second focusing parameter and a preset value adjustment rule, where the at least one second focusing parameter is a focusing parameter included in the corresponding focusing parameter combination.
The preset value adjusting rule may adjust the second preset value to a third preset value on the basis of the second preset value, wherein the second preset value may be greater than the third preset value or smaller 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 adjustment and the adjusted value at each time may be a random difference or a fixed difference.
Illustratively, the set of focus parameters is { focus position, focus area size }, the second focus parameter is focus area size, the second preset value corresponding to the focus area size is 1/18, the third preset value is 1/9, and 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 is a fixed difference 1/72, then it is determined that at least one set of value combination corresponding to the focus area size includes { focus position, focus area size is 1/18} of display area, { focus position, focus area size is 5/72} of display area, { focus position, focus area size is 1/12} of display area, { focus position, focus area size is 7/72} of display area, { focus position, focus area size 1/9 of display area }.
S330, at least one group of numerical value combinations corresponding to each group of focusing parameter combinations is used as at least one group of focusing parameters.
Illustratively, the set of focus parameters is { focus position, focus area size }, the second focus parameter is focus area size, the second preset value corresponding to the focus area size is 1/18, the third preset value is 1/9, and 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 is a fixed difference 1/72, then it is determined that at least one set of value combination corresponding to the focus area size includes { focus position, focus area size is 1/18} of display area, { focus position, focus area size is 5/72} of display area, { focus position, focus area size is 1/12} of display area, { focus position, focus area size is 7/72} of display area, { focus position, focus area size 1/9 of display area }. The other set of focusing parameters is { focus position, focus frequency }, the second focusing parameter is focus frequency, the second preset value corresponding to focus 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 between the reference value before adjustment and the adjusted value each time is a fixed difference 2, and then at least one set of value combination corresponding to the size of the focusing area is determined to comprise { focus position, focus frequency is 10}, { focus position, focus frequency is 12}, { focus position, focus frequency is 14}, { focus position, focus frequency is 16}, { focus position, focus frequency is 18} and { focus position, focus frequency is 20 }. At least one set of focusing parameters is 11 sets of numerical combinations corresponding to the two sets of focusing parameter combinations.
And S340, 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 respectively to obtain at least one target image.
And 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.
In the focusing test method provided in this embodiment, at least one focusing parameter combination corresponding to a focusing parameter is obtained by combining at least one focusing parameter, and for each focusing parameter combination, at least one group of value combinations corresponding to a second focusing parameter is determined based on a second preset value and a preset value adjustment rule corresponding to at least one second focusing parameter, where the at least one second focusing parameter is a focusing parameter included in the corresponding focusing parameter combination, and the at least one group of value combinations corresponding to each focusing parameter combination is used as at least one group of focusing parameters; 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; 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 large manual workload and time waste caused by manual adjustment of the focusing parameters in the conventional focusing test are overcome, and the manual workload and time of the focusing test are reduced.
Example four
Fig. 4 is a schematic structural diagram of a focus testing apparatus according to an embodiment of the disclosure. The embodiment can be applied to the situation of determining the focusing performance corresponding to different focusing parameter combinations. The apparatus may be implemented in software and/or hardware, and 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;
a target image acquisition module 420, 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;
and a focusing definition determining module 430, configured to determine 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 set of focusing parameters.
According to the focusing test device provided by the embodiment, at least one group of focusing parameters are determined by the focusing parameter determining module according to a preset focusing parameter determining strategy, the image acquisition device of the mobile device is controlled to focus and acquire at least one target object to obtain at least one target image based on each group of focusing parameters by the target image acquisition module, the focusing definition of the image acquisition device corresponding to the corresponding focusing parameters is determined by the focusing definition determining module according to the definition of each target image corresponding to each group of focusing parameters, the defects of large artificial workload and time waste caused by manual adjustment of the focusing parameters in the existing focusing test are overcome, and the artificial workload and the time waste of the focusing test are reduced.
On the basis of the foregoing technical solution, optionally, the focusing parameter determining module 410 may specifically 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;
and the first focusing parameter determining unit is used for respectively endowing at least one first focusing parameter in each group of focusing parameter combination with a corresponding first preset numerical value to obtain at least one group of focusing parameters.
On the basis of the foregoing technical solution, optionally, the focusing parameter determining module 410 may 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;
a numerical combination determining unit, configured to determine, for each group of focusing parameter combinations, at least one group of numerical combinations corresponding to the second focusing parameters based on a second preset numerical value and a preset numerical value adjustment rule corresponding to at least one second focusing parameter, where the at least one second focusing parameter is a focusing parameter included in a corresponding focusing parameter combination;
and the second focusing parameter determining unit is used for combining at least one group of numerical values corresponding to each group of focusing parameter combination to serve as at least one group of focusing parameters.
On the basis of the foregoing technical solution, optionally, the focusing definition determining module 430 may specifically include:
the definition determining unit is used for respectively determining the definition of each target image corresponding to each group of focusing parameters by using a definition detection algorithm;
and a focusing definition determining unit for calculating an average value of each definition and taking the average value as the focusing definition.
On the basis of the above technical solution, optionally, the focus testing apparatus may further include:
and the marking module is used for marking the focusing area in each target image after 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 to obtain at least one target image.
On the basis of the above technical solution, optionally, the focus testing apparatus may further include:
and the height and 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 to obtain at least one target image, and controlling the height and pose of the image acquisition device to be unchanged.
On the basis of the above technical solution, optionally, the focus testing apparatus 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 maximum 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 corresponding functional modules and beneficial effects of the execution method.
EXAMPLE five
Referring now to FIG. 5, shown is a schematic block diagram of a computer device 500 suitable for use in implementing embodiments of the present disclosure. The computer device in the embodiments of the present disclosure may include, but is not limited to, devices such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like. The computer device shown in fig. 5 is only an example and should not bring any limitation to the function and scope of use of the embodiments of the present disclosure.
As shown in fig. 5, computer device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage means 506 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the computer apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 506 including, for example, magnetic tape, hard disk, etc.; and a communication device 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 illustrates a computer device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 506, or installed from the ROM 502. The computer program performs the above-described functions defined in the methods of the embodiments of the present disclosure when executed by the processing device 501.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination 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 present 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 contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. 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, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications 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 network.
The computer readable medium may be embodied in the computer device; or may exist separately and not be incorporated into the computer device.
The computer readable medium carries one or more programs which, when executed by the computing device, cause the computing device to: determining a strategy according to a preset focusing parameter, and determining at least one group of focusing parameters; 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; 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 for the present disclosure may be written in any combination of 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 type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart 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. For example, the focusing parameter determining module may be further 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 be further described as a "unit for determining sharpness of each target image corresponding to each set of focusing parameters by using a sharpness detection algorithm", respectively.
The functions described herein above 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: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), 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. A 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, an example provides a focus test method, including:
determining a strategy according to a preset focusing parameter, and determining at least one group of focusing parameters;
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;
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.
According to one or more embodiments of the present disclosure, example two provides a focus testing method, and on the basis of the focus testing method of example one, determining at least one set of focus parameters according to a preset focus parameter determination policy 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 combination with a corresponding first preset numerical value to obtain at least one group of focusing parameters.
According to one or more embodiments of the present disclosure, example three provides a focus test method, where on the basis of the focus test method of example one, a policy is determined according to a preset focus parameter, and at least one set of focus parameters is determined, further including:
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 at least one group of numerical value combinations corresponding to each group of focusing parameter combinations as at least one group of focusing parameters.
According to one or more embodiments of the present disclosure, example four provides a focusing test method, and on the basis of the focusing test method of example one, determining a focusing definition of an image acquisition device corresponding to each focusing parameter according to a definition of each target image corresponding to each set of focusing parameters, respectively, includes:
respectively 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 sharpness is calculated, and the average value is taken as the in-focus sharpness.
According to one or more embodiments of the present disclosure, example five provides a focus testing method, and on the basis of the focus testing methods of examples one to four, after controlling an image capturing device of a mobile device to focus and capture at least one target object based on at least one set of focus parameters, respectively, to obtain at least one target image, the method further includes:
labeling the focusing area in each target image.
According to one or more embodiments of the present disclosure, example six provides a focus testing method, and on the basis of the focus testing methods of examples one to four, before controlling an image capturing device of a mobile device to focus and capture at least one target object based on at least one set of focus parameters, respectively, to obtain at least one target image, the method further includes:
and controlling the height and the pose of the image acquisition device to be unchanged.
According to one or more embodiments of the present disclosure, example seven provides a focusing test method, on the basis of the focusing test methods of examples one to four, after determining a focusing definition of an image capturing device corresponding to each focusing parameter according to a definition of each target image corresponding to each set of focusing parameters, respectively, the method further includes:
comparing each focusing definition, and determining the maximum focusing definition with the maximum 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.
Example eight provides, in accordance with one or more embodiments of the present disclosure, a focus test apparatus, comprising:
the focusing parameter determining module is used for determining a strategy according to a preset focusing parameter and determining at least one group of focusing parameters;
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.
Example nine provides, in accordance with one or more embodiments of the present disclosure, a computer device comprising:
one or more processing devices;
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 one of examples one to seven.
Example ten provides a computer-readable storage medium having stored thereon a computer program that, when executed by a processor, implements a focus test method as in any of examples one to seven.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while 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. Under 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 limitations on the scope of the 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 disclosed as example forms of implementing the claims.
Claims (10)
1. A focus test method, comprising:
determining a strategy according to a preset focusing parameter, and determining at least one group of focusing parameters;
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;
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.
2. The method of claim 1, wherein determining the at least one set of focusing parameters according to a predetermined focusing parameter determination strategy comprises:
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 combination with a corresponding first preset numerical value to obtain at least one group of focusing parameters.
3. The method of claim 1, wherein determining the strategy according to the preset focusing parameters, determining at least one set of focusing parameters, further comprises:
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 at least one second focusing parameter based on a second preset value corresponding to the 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 value combinations corresponding to each group of focusing parameter combinations as the at least one group of focusing parameters.
4. The method according to claim 1, wherein the determining the focusing resolution of the image capturing device corresponding to the corresponding focusing parameter according to the resolution of each target image corresponding to each set of focusing parameters respectively comprises:
respectively determining the definition of each target image corresponding to each group of focusing parameters by using a definition detection algorithm;
calculating an average value of each of the resolutions, and taking the average value as the in-focus resolution.
5. The method according to any one of claims 1 to 4, further comprising, after controlling the image capturing device of the mobile device to focus and capture the at least one target object based on the at least one set of focusing parameters, respectively, to obtain at least one target image:
and labeling the focusing area in each target image.
6. The method according to any one of claims 1 to 4, further comprising, before controlling the image capturing device of the mobile device to focus and capture the at least one target object based on the at least one set of focusing parameters, respectively, to obtain the at least one target image:
and controlling the height and the pose of the image acquisition device to be unchanged.
7. The method according to any one of claims 1 to 4, further comprising, after determining the focusing sharpness of the image capturing device corresponding to the corresponding focusing parameter according to the sharpness of each target image corresponding to each set of the focusing 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.
8. A focus test apparatus, comprising:
the focusing parameter determining module is used for determining a strategy according to a preset focusing parameter and determining at least one group of focusing parameters;
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.
9. A computer device, characterized in that the computer device comprises:
one or more processing devices;
storage means for storing one or more programs;
when executed by the one or more processing devices, cause the one or more processing devices to implement a focus test method as claimed in any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a focus test method as set forth in any one of claims 1 to 7.
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