CN110706192A - Method and device for processing identifier in image data, storage medium and electronic device - Google Patents
Method and device for processing identifier in image data, storage medium and electronic device Download PDFInfo
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- 238000012545 processing Methods 0.000 title claims description 32
- 238000004590 computer program Methods 0.000 claims description 18
- 238000005286 illumination Methods 0.000 claims description 4
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- 238000003672 processing method Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 6
- 238000002372 labelling Methods 0.000 description 5
- 238000012360 testing method Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
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- 238000012986 modification Methods 0.000 description 2
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Abstract
The invention provides a processing method and device for identification in image data, a storage medium and an electronic device, wherein the method comprises the following steps: acquiring a plurality of target points of portrait data in an image to be processed, wherein the target points correspond to human body joint points in the portrait data; determining a to-be-processed identifier for placing in the to-be-processed image; and determining the position of the identifier to be processed in the image to be processed based on the target points, and fusing the image to be processed and the identifier to be processed based on the position. According to the invention, the problems of low efficiency and large deviation caused by manually marking the logo in the image in the related art are solved, and the efficiency of marking the logo in the image is improved and the deviation is low.
Description
Technical Field
The invention relates to the field of computers, in particular to a method and a device for processing identifiers in image data, a storage medium and an electronic device.
Background
In the prior art, the marking method for the test image or the test video is mainly manual marking. Manually identifying, manually labeling and storing logo (trademark) elements in the test image by adopting corresponding description logics and description methods for various collected data, thereby forming a training image labeled with the logo elements.
The requirement of training images for logo detection is huge, and the requirement is over millions and even tens of millions. Since each image is marked, the workload is enormous, and a large amount of labor cost is required for this purpose. Due to the inefficiency of manual labeling, a significant amount of time and cost is also required. On the other hand, the manual labeling objectivity and accuracy are poor. For example, for a task needing to label the position of a logo element, the data of the position labeled by different labeling personnel in the same image may have a deviation, and even the data labeled by the same labeling personnel at different times may also have a deviation.
In view of the above problems in the related art, no effective solution exists at present.
Disclosure of Invention
The embodiment of the invention provides a processing method and device for identification in image data, a storage medium and an electronic device, which are used for at least solving the problems that the efficiency is low and larger deviation is caused when logo in an image is marked manually in the related art.
According to an embodiment of the present invention, there is provided a method for processing a flag in image data, including: acquiring a plurality of target points of portrait data in an image to be processed, wherein the target points correspond to human body joint points in the portrait data; determining a to-be-processed identifier for placing in the to-be-processed image; and determining the position of the identifier to be processed in the image to be processed based on the target points, and fusing the image to be processed and the identifier to be processed based on the position.
According to another embodiment of the present invention, there is provided a processing apparatus for identification in image data, including: the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a plurality of target points of portrait data in an image to be processed, and the target points correspond to human body joint points in the portrait data; the determining module is used for determining the mark to be processed which is used for being placed in the image to be processed; and the first processing module is used for determining the position of the identifier to be processed in the image to be processed based on the target points and fusing the image to be processed and the identifier to be processed based on the position.
According to a further embodiment of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, a plurality of target points of portrait data in the image to be processed are obtained, wherein the target points correspond to human body joint points in the portrait data, the mark to be processed which is used for being placed in the image to be processed is determined, the position of the mark to be processed in the image to be processed is further determined based on the plurality of target points, and the automatic marking of the mark in the image data is realized based on the mode of fusing the image to be processed and the mark to be processed by positions, so that the problems of low efficiency and great deviation caused by manual marking of a logo in the image in the related art are solved, and the marking efficiency of the mark in the image is improved and the deviation is low.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a block diagram of a hardware configuration of a terminal of a processing method of a tag in image data according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method of processing an identification in image data according to an embodiment of the invention;
FIG. 3 is a schematic illustration of a joint in portrait data in an image, according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of logo and image fusion according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of joint-based determination of placement of a logo area according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an adjustment of a fused image according to an alternative embodiment of the invention;
fig. 7 is a schematic structural diagram of a processing device identified in image data according to an embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
Example 1
The method provided by the first embodiment of the present application may be executed in a terminal, a computer terminal, or a similar computing device. Taking the example of running on a terminal, fig. 1 is a hardware structure block diagram of the terminal of a processing method for identifiers in image data according to an embodiment of the present invention. As shown in fig. 1, the terminal 10 may include one or more (only one shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, and optionally may also include a transmission device 106 for communication functions and an input-output device 108. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the terminal. For example, the terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used for storing computer programs, for example, software programs and modules of application software, such as computer programs corresponding to the processing methods identified in the image data in the embodiments of the present invention, and the processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, so as to implement the methods described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the terminal 10. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
In this embodiment, a method for processing the identifier in the image data running on the terminal is provided, and fig. 2 is a flowchart of a method for processing the identifier in the image data according to an embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:
step S202, acquiring a plurality of target points of portrait data in an image to be processed, wherein the target points correspond to human body joint points in the portrait data;
it should be noted that in this embodiment, the image to be processed may use an LSP, MPII, coco, or other public data set, and the logo may be downloaded to the icon file in ico format on the material website.
Step S204, determining a mark to be processed for placing in the image to be processed;
in a specific application scene, as the logo needs to appear at a reasonable position, if the garment logo mainly exists at a trunk part, a Cascaded Pyramid network is needed to be used for detecting key points of people in the image and determining the position range of the logo
The Cascade Pyramid network can detect 18 key points of a certain degree of freedom on the human body, such as neck, shoulder, elbow, wrist, waist, knee, ankle and the like, as shown in FIG. 3.
And step S206, determining the position of the mark to be processed in the image to be processed based on the target points, and fusing the image to be processed and the mark to be processed based on the position.
The manner of fusion in a specific application scenario is shown in fig. 4.
Through the steps S202 to S206, a plurality of target points of the portrait data in the to-be-processed image are obtained, wherein the target points correspond to human body joint points in the portrait data, a to-be-processed identifier for placing in the to-be-processed image is determined, the position of the to-be-processed identifier in the to-be-processed image is determined based on the plurality of target points, and the to-be-processed image and the to-be-processed identifier are fused based on the positions, so that a manner of automatically identifying the identifier in the image data is realized, the problems that in the related art, marking of a logo in the image manually is low in efficiency and causes large deviation are solved, and efficiency of marking the identifier in the image is improved and the deviation is low.
Optionally, the manner of determining the identifier to be processed for placing in the image to be processed involved in step S204 of this embodiment may be: preprocessing the identifier to be processed randomly in at least one of the following manners to obtain a plurality of preprocessed identifiers: zooming, angle adjustment, deformation, overturning, color adjustment and shielding.
Optionally, the manner of determining the position of the to-be-processed identifier in the to-be-processed image based on the plurality of target points in step S206 in this embodiment may include:
a step S206-11 of selecting a part of the target points from the plurality of target points;
step S206-12, determining the area formed by connecting lines of part of target points as the area for placing the image identifier to be processed;
and step S206-13, selecting one position from the areas as the position for placing the identifier of the image to be processed.
For the above step S206-11 to step S206-13, based on fig. 3, four points of the left shoulder, the right shoulder, the left waist and the right waist are recorded as logo placement ranges, as shown in fig. 5, within four points of a, B, C and D.
Randomly selecting a logo placement position in four coordinate ranges of a left shoulder, a right shoulder, a left waist and a right waist, and recording positions of a top left corner and a bottom right corner of the logo in an original picture as marking data; wherein, the coordinate of the upper left corner x is xmin; the coordinate of the upper left corner y is ymax; the lower right x coordinate is xmax; the lower right x coordinate is ymin.
Optionally, in an optional implementation manner of this embodiment, the method of this embodiment further includes:
and S208, after fusing the image to be processed and the identifier to be processed based on the position, adding noise data to the fused image data, and processing the fused image data based on the noise data.
It should be noted that, in order to make the fused image closer to the real picture, a proper amount of noise may be added, such as gaussian, salt, poisson, and the like.
Optionally, in an optional implementation manner of this embodiment, the method of this embodiment further includes:
step S210, after the image to be processed and the identifier to be processed are fused based on the position, the illumination and/or contrast of the fused image data are adjusted to meet the preset definition.
In a specific application scenario, the manner of adjusting the image in step S210 is as shown in fig. 6.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
In this embodiment, a processing apparatus for identifier in image data is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, and details are not repeated for what has been described. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 7 is a block diagram of a processing apparatus identified in image data according to an embodiment of the present invention, as shown in fig. 7, the apparatus including: an obtaining module 72, configured to obtain multiple target points of portrait data in an image to be processed, where the target points correspond to human body joint points in the portrait data; a determining module 74, coupled to the obtaining module 72, for determining the identifier to be processed for placing in the image to be processed; and a first processing module 76, coupled to the determining module 74, for determining a position of the identifier to be processed in the image to be processed based on the plurality of target points, and fusing the image to be processed and the identifier to be processed based on the position.
Optionally, the determining module 74 is further configured to randomly preprocess the identifier to be processed to obtain a plurality of preprocessed identifiers by at least one of the following manners: zooming, angle adjustment, deformation, overturning, color adjustment and shielding.
Optionally, the first processing module 76 may further include: a selection unit configured to select a part of the target points from the plurality of target points; the determining unit is used for determining an area formed by connecting lines of part of target points as an area for placing an image identifier to be processed; and the processing unit is used for selecting one position from the area as a position for placing the identifier of the image to be processed.
Optionally, the apparatus of this embodiment may further include: and the second processing module is used for adding noise data to the fused image data after fusing the image to be processed and the identifier to be processed based on the position, and processing the fused image data based on the noise data.
Optionally, the apparatus of this embodiment may further include: and the adjusting module is used for adjusting the illumination and/or contrast of the fused image data to meet the preset definition after fusing the image to be processed and the identifier to be processed based on the position.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Example 3
Embodiments of the present invention also provide a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, acquiring a plurality of target points of portrait data in the image to be processed, wherein the target points correspond to human body joint points in the portrait data;
s2, determining a to-be-processed mark for placing in the to-be-processed image;
s3, determining the position of the mark to be processed in the image to be processed based on the target points, and fusing the image to be processed and the mark to be processed based on the position.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, acquiring a plurality of target points of portrait data in the image to be processed, wherein the target points correspond to human body joint points in the portrait data;
s2, determining a to-be-processed mark for placing in the to-be-processed image;
s3, determining the position of the mark to be processed in the image to be processed based on the target points, and fusing the image to be processed and the mark to be processed based on the position.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (12)
1. A method for processing a tag in image data, comprising:
acquiring a plurality of target points of portrait data in an image to be processed, wherein the target points correspond to human body joint points in the portrait data;
determining a to-be-processed identifier for placing in the to-be-processed image;
and determining the position of the identifier to be processed in the image to be processed based on the target points, and fusing the image to be processed and the identifier to be processed based on the position.
2. The method of claim 1, wherein determining a pending identifier for placement in the pending image comprises:
the mark to be processed is randomly preprocessed in at least one of the following ways to obtain a plurality of preprocessed marks: zooming, angle adjustment, deformation, overturning, color adjustment and shielding.
3. The method of claim 2, wherein determining the location of the to-be-processed marker in the to-be-processed image based on the plurality of target points comprises:
selecting a portion of the target points from the plurality of target points;
determining the area formed by the connecting lines of the part of target points as the area for placing the image identifier to be processed;
and selecting one position from the area as a position for placing the identifier of the image to be processed.
4. The method of claim 1, wherein after fusing the image to be processed and the identifier to be processed based on the location, the method further comprises:
and adding noise data to the fused image data, and processing the fused image data based on the noise data.
5. The method of claim 1, wherein after fusing the image to be processed and the identifier to be processed based on the location, the method further comprises:
and adjusting the illumination and/or contrast of the fused image data to meet the preset definition.
6. A device for processing a tag in image data, comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a plurality of target points of portrait data in an image to be processed, and the target points correspond to human body joint points in the portrait data;
the determining module is used for determining the mark to be processed which is used for being placed in the image to be processed;
and the first processing module is used for determining the position of the identifier to be processed in the image to be processed based on the target points and fusing the image to be processed and the identifier to be processed based on the position.
7. The apparatus of claim 6,
the determining module is configured to randomly pre-process the identifier to be processed in at least one of the following manners to obtain a plurality of pre-processed identifiers: zooming, angle adjustment, deformation, overturning, color adjustment and shielding.
8. The apparatus of claim 7, wherein the first processing module comprises:
a selection unit configured to select a part of the target points from the plurality of target points;
the determining unit is used for determining an area formed by the connecting lines of the part of the target points as an area for placing the to-be-processed image identifier;
and the processing unit is used for selecting a position from the area as a position for placing the to-be-processed image identifier.
9. The apparatus of claim 6, further comprising:
and the second processing module is used for adding noise data to the fused image data after fusing the image to be processed and the identifier to be processed based on the position, and processing the fused image data based on the noise data.
10. The apparatus of claim 6, further comprising:
and the adjusting module is used for adjusting the illumination and/or contrast of the fused image data to meet the preset definition after the image to be processed and the identifier to be processed are fused based on the position.
11. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to carry out the method of any one of claims 1 to 5 when executed.
12. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 5.
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| CN201910979311.XA CN110706192A (en) | 2019-10-15 | 2019-10-15 | Method and device for processing identifier in image data, storage medium and electronic device |
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| CN201910979311.XA CN110706192A (en) | 2019-10-15 | 2019-10-15 | Method and device for processing identifier in image data, storage medium and electronic device |
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| US20140122381A1 (en) * | 2012-10-25 | 2014-05-01 | Microsoft Corporation | Decision tree training in machine learning |
| CN108564058A (en) * | 2018-04-25 | 2018-09-21 | 咪咕动漫有限公司 | A kind of image processing method, device and computer readable storage medium |
| CN109325907A (en) * | 2018-09-18 | 2019-02-12 | 北京旷视科技有限公司 | Image landscaping treatment method, apparatus and system |
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