CN114663290A - Face image processing method and device, electronic equipment and storage medium - Google Patents

Abstract

The invention discloses a method and a device for processing a face image, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring a target face image, and extracting key point data of the target face image from the target face image; acquiring a template material, and drawing the template material into blank textures in a preset mode to enable the template material to correspond to a region to be processed of a target face image; and weighting at least two color channels of the region to be processed of the target face image based on the template material. According to the face image processing method provided by the embodiment of the disclosure, the region to be processed of the target face image can be accurately determined, and the weighting processing is performed on at least two color channels of the region to be processed of the target face image based on the template material, so that the finally obtained weighted target face image has a good beautifying effect, and the user experience is improved.

Description

A face image processing method, device, electronic device and storage medium

technical field

The present invention relates to the field of image processing, in particular to a method, device, electronic device and storage medium for processing a face image.

Background technique

With the development of image processing technology, more and more users process face images through beauty software.

In the above-mentioned beauty technology through beauty software, some users use the beauty technology to make the makeup of the user's target area more beautiful.

The existing beauty technology has the following defects:

There may be errors in the position of any selected target area determined on the user's face image based on the existing beauty technology. Therefore, the position of the selected target area determined on the user's face image may not be the same. Therefore, in the end, the beautification effect obtained by performing the beautification processing on the user's face image is poor, thereby reducing the user experience.

SUMMARY OF THE INVENTION

Based on this, it is necessary to provide a method for processing a face image, aiming at the problem of poor beauty effect caused by the inaccurate position of the selected target area based on the existing lying silkworm beauty technology. Devices, electronic equipment and storage media.

In a first aspect, an embodiment of the present application provides a method for processing a face image, the method comprising:

Acquiring a target face image, and extracting key point data of the target face image from the target face image;

Obtaining template material, and drawing the template material into the blank texture by a preset method, so that the template material corresponds to the area to be processed of the target face image;

Weighting processing is performed on at least two color channels of the to-be-processed region of the target face image based on the template material.

In an implementation manner, the drawing the template material into the blank texture in a preset manner includes:

determining the fusion region of the target face image in the blank texture based on the key point data of the target face image;

obtain the texture data of the template material;

Drawing the template material into the fusion area in the blank texture according to the index method and the texture data of the template material.

In one embodiment, the weighting process on at least two color channels of the region to be processed in the target face image based on the template material includes:

In the first channel, weighting processing is performed on at least two color channels of the to-be-processed area of the target face image based on the template material, and

In the second channel, weighting processing is performed on at least two color channels of the to-be-processed area of the target face image based on the template material.

In an embodiment, the first channel is a blue channel, and the weighting process on at least two color channels of the to-be-processed area of the target face image based on the template material includes:

determining a first lightening weight value for lightening the target area in the blue channel;

According to the first highlighting weight value and the pixel value corresponding to each key point of the target face image, in the first channel, the region to be processed in the target face image is processed based on the template material. Weighting processing is performed, so that the region to be processed in the target face image is brightened in the blue channel by the first highlighting weight value.

In one embodiment, the determining the first highlighting weight value includes:

Obtain a first preset input weight value, a second preset input weight value, the blue color extracted from the template material, and a first weighting coefficient for performing weighting processing in the blue color channel, the first preset The sum of the input weight value and the second preset input weight value is 1;

According to the first preset input weight value, the second preset input weight value, the blue color extracted from the template material, and the first weighting process performed in the blue color channel The coefficients are weighted to determine the first highlighting weight value.

In an implementation manner, the second channel is a blue channel, and in the second channel, performing weighting processing on at least two color channels of the region to be processed in the target face image based on the template material includes: :

determining a second lightening weight value for lightening the target area in the green channel;

According to the second highlighting weight value and the pixel value corresponding to each key point of the target face image, in the second channel, the region to be processed in the target face image is processed based on the template material. Weighting processing is performed, so that the region to be processed in the target face image is brightened in the green channel by the second highlighting weight value.

In one embodiment, the determining the second highlighting weight value includes:

Obtain the first preset input weight value, the second preset input weight value, the green color extracted from the template material, and the second weighting coefficient for weighting processing in the green channel, the first The sum of the preset input weight value and the second preset input weight value is 1;

According to the first preset input weight value, the second preset input weight value, the green color extracted from the template material, and the second weighting coefficient for weighting processing in the green channel The weighting process is performed to determine the second highlighting weight value.

In one embodiment, the target area is the area where the lying silkworm is located.

In a second aspect, an embodiment of the present application provides an apparatus for processing a face image, the apparatus comprising: an acquisition unit, an extraction unit, a drawing unit, and a weighting processing unit;

The obtaining the target face image, and obtaining the template material;

The extraction unit is configured to extract the key point data of the target face image from the target face image obtained by the acquisition unit;

the drawing unit, configured to draw the template material acquired by the acquisition unit into a blank texture in a preset manner, so that the template material corresponds to the area to be processed in the target face image;

The weighting processing unit is configured to perform weighting processing on at least two color channels of the to-be-processed area of the target face image based on the template material obtained by the obtaining unit.

In a third aspect, embodiments of the present application provide an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor runs the computer program to achieve Method steps as described above.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium on which a computer program is stored, and the program is executed by a processor to implement the above method steps.

The technical solutions provided by the embodiments of the present application may include the following beneficial effects:

In the embodiment of the present application, a target face image is obtained, and key point data of the target face image is extracted from the target face image; template material is obtained, and the template material is drawn into a blank texture by a preset method, so that the template material Corresponding to the to-be-processed area of the target face image; weighting processing is performed on at least two color channels of the to-be-processed area of the target face image based on the template material. The method for processing a face image provided by the embodiment of the present disclosure can accurately determine the area to be processed of the target face image, and perform weighting processing on at least two color channels of the area to be processed in the target face image based on the template material. , therefore, the final weighted target face image has a better beautifying effect and improves the user experience. It should be understood that the above general description and the following detailed description are only exemplary and explanatory. does not limit the present invention.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description serve to explain the principles of the invention.

1 is an application scenario diagram of a method for processing a face image provided by an embodiment of the present disclosure;

2 is a schematic flowchart of a method for processing a face image provided by an embodiment of the present disclosure;

3 is a schematic diagram of a target face image identified by 106 key points in an application scenario provided by an embodiment of the present disclosure;

4 is a schematic diagram of a lying silkworm image that performs beautification processing on a target face image under an application scenario provided by an embodiment of the present disclosure;

5 is a schematic diagram of a standard face image in an application scenario provided by an embodiment of the present disclosure;

6 is a schematic diagram of a processed standard face image obtained after standard grid segmentation processing in an application scenario provided by an embodiment of the present disclosure;

7 is a schematic structural diagram of an apparatus for processing a face image provided by an embodiment of the present disclosure;

FIG. 8 shows a schematic diagram of a connection structure of an electronic device according to an embodiment of the present disclosure.

Detailed ways

The following description and drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.

It should be understood that the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The optional embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.

As shown in FIG. 1, it is an application scenario diagram of an embodiment of the present disclosure. The application scenario is that multiple users operate a client installed on the terminal device through a terminal device such as a mobile phone, and the client performs data processing with a background server through a network. communication. A special application scenario is: processing a face image, that is, performing a lying silkworm beautifying process on a face image, but it is not limited to this only application scenario, and any comprehensible scenario that can be applied to this embodiment is Including, for the convenience of description, in this embodiment, the process of processing a face image of at least one client is described by taking an application scenario of implementing the method for processing a face image as an example.

As shown in FIG. 2 , an embodiment of the present disclosure provides a method for processing a face image, which is applied to a client and specifically includes the following method steps:

S202: Acquire a target face image, and extract key point data of the target face image from the target face image.

As shown in FIG. 3, it is a schematic diagram of a target face image identified by 106 target face key points in an application scenario provided by an embodiment of the present disclosure; as shown in FIG. 3, it shows the target face image in the There are 106 key points, each of which has a corresponding digital identification. For example, numerals 52, 57, 73, 56 and 55 respectively represent the key points of the target face around the lower corner of the eye in the target face image, and correspondingly, numerals 58, 63, 76, 62 and 61 respectively represent the target The target face key points around the lower corner of the eye on the other side in the face image.

Since there is a one-to-one index relationship between the standard face key points with the same identifier and the target face key points, according to the above index relationship and each standard face key point associated with the lower corner of the eye, the index can be obtained. The corresponding key points of the target face associated with the lower corner of the eye.

S204: Obtain template material, and draw the template material into the blank texture by a preset method, so that the template material corresponds to the area to be processed of the target face image.

In the embodiment of the present application, drawing the template material into the blank texture by a preset method includes the following steps:

Determine the fusion area of the target face image in the blank texture based on the key point data of the target face image;

Get the texture data of the template material;

According to the index method and the texture data of the template material, the template material is drawn to the fusion area in the blank texture.

In the embodiment of the present application, the indexing method is specifically: according to the one-to-one index relationship between each data point of the template material and each data point of the blank texture (by having the same label to perform a one-to-one corresponding index), According to the above index method and the texture data of the template material, the template material is drawn to the fusion area in the blank texture, so that the above fusion area has the texture data of the template material, so as to realize the effect of color fusion.

In this embodiment of the present application, the template material may be an image of a lying silkworm.

As shown in FIG. 4 , it is a schematic diagram of a lying silkworm image for performing beautification processing on a target face image in an application scenario provided by an embodiment of the present disclosure.

The image of the lying silkworm as shown in FIG. 4 has a bright and dark beautifying effect, so that the processed target face image obtained by performing image fusion processing on the image of the lying silkworm and the target face image is more natural and has better The beauty effect improves the user experience.

In the embodiment of the present application, according to the preferences of different users, an image of a lying silkworm that matches the user's preference may be selected from an image library including various images of lying silkworms. The image of a lying silkworm shown in FIG. 3 is only one instance.

In the embodiment of the present application, the format of the target face image is preferably an image in rgba format.

As shown in FIG. 5, it is a schematic diagram of a standard face image in an application scenario provided by an embodiment of the present disclosure; in the embodiment of the present application, the preset number of standard face key points of the standard face image can be set is 106. In different application scenarios, different preset numbers of standard face key points can be configured. In Fig. 5, the image is simplified, and a preset number of standard face key points are not identified, which is only an example here. The format of the standard face image is preferably an image in rgba format.

As shown in FIG. 6 , it is a schematic diagram of a processed standard face image obtained by dividing a standard grid in an application scenario provided by an embodiment of the present disclosure; through the standard grids shown in FIG. Accurate positioning of each facial feature in a standard face image is achieved.

Obtain a first data set of a preset number of standard face key points, where the first data set includes the identification data of each standard face key point, the abscissa data of each standard face key point, and the ordinate of each target standard key point data; and a second data set for obtaining a preset number of target face key points, the second data set includes identification data of each target face key point, abscissa data of each target face key point, and each target face key point The ordinate data of the point, wherein there is a one-to-one index relationship between the standard face key points with the same identification and the target face key points;

Perform grid segmentation processing on the standard face image of the standard object according to the data in the first data set to obtain the divided grids, and paste the divided grids on the blank picture;

The image of the lying silkworm is pasted on the blank picture with the divided grids to obtain the image of the lying silkworm after processing with standardized grids.

S206: Perform weighting processing on at least two color channels of the to-be-processed area of the target face image based on the template material.

In the embodiment of the present application, the output fused target face image is given a weight value, and the user can manually adjust the weight value according to his own preference, and replace the previous weight value.

In the embodiment of the present application, the target area may be the area where the lying silkworm is located. For the description of the lying silkworm, please refer to the description of the same part above, and will not be repeated here.

In a possible implementation manner, performing weighting processing on at least two color channels of the region to be processed in the target face image based on the template material includes the following steps:

In the first channel, at least two color channels of the target face image area to be processed are weighted based on the template material, and in the second channel, at least two color channels of the target face image area to be processed are weighted based on the template material Channels are weighted.

In the embodiment of the present application, the first channel is the blue channel, and weighting processing on at least two color channels of the region to be processed in the target face image based on the template material includes the following steps:

determining a first lightening weight value for lightening the target area in the blue channel;

According to the first highlighting weight value and the pixel value corresponding to each key point of the target face image, in the first channel, weighting processing is performed on the to-be-processed area of the target face image based on the template material, so that through the first highlighting The weight value in the blue channel brightens the to-be-processed area of the target face image.

In a possible implementation manner, determining the first highlighting weight value includes:

Obtain the first preset input weight value, the second preset input weight value, the blue color extracted from the template material, and the first weighting coefficient for weighting processing in the blue channel, the first preset input weight value and the second preset weight value. The sum of the preset input weight values is 1;

Perform weighting processing according to the first preset input weight value, the second preset input weight value, the blue color extracted from the template material, and the first weighting coefficient for weighting processing in the blue color channel to determine the first highlighting weight value.

In this embodiment of the present application, when the first channel is the blue channel, the weighting formula used to perform weighting processing on the to-be-processed area of the target face image based on the template material may be:

color ₂ = color ₁ ^* n+color ₁ ^* m ^* B ^* Alp1

m=1-n:

Alp1=1.6;

Among them, color ₁ is the pixel value corresponding to any key point selected from the target face image, and color ₂ is the pixel value corresponding to the key point corresponding to color ₁ when the key point is highlighted in the blue channel, n is the first preset input weight value, m is the second preset input weight value, B is the blue color extracted from the template material, and from Alp1 is the first weighting coefficient for weighting processing in the blue channel. The above is just an example, and a certain number of key points can be selected in the area to be processed and traversed by the above formula and processed in sequence, which will not be repeated here.

In the embodiment of the present application, the second channel is the blue channel, and in the second channel, performing weighting processing on at least two color channels of the region to be processed in the target face image based on the template material includes the following steps:

determining a second lightening weight value for lightening the target area in the green channel;

According to the second highlighting weight value and the pixel value corresponding to each key point of the target face image, in the second channel, based on the template material, weight processing is performed on the to-be-processed area of the target face image, so that through the second highlighting The weight value in the green channel brightens the to-be-processed area of the target face image.

In a possible implementation manner, determining the second highlighting weight value includes:

Obtain the first preset input weight value, the second preset input weight value, the green color extracted from the template material, and the second weighting coefficient for weighting processing in the green channel, the first preset input weight value and the second preset weight value The sum of the input weight values is 1;

Weighting is performed according to the first preset input weight value, the second preset input weight value, the green color extracted from the template material, and the second weighting coefficient for weighting processing in the green channel to determine the second highlighting weight value.

In the embodiment of the present application, when the second channel is the green channel, the fusion formula used to fuse the template material with the target area corresponding to the background texture of the target face image may be:

color ₃ =color ₁ ^* n+color ₁ ^* m ^* G ^* Alp2;

m=1-n;

Alp2=1.3;

Among them, color ₁ is the pixel value corresponding to any key point selected from the target face image, color ₃ is the corresponding pixel value when the key point corresponding to color ₁ is highlighted in the green channel, n is the first preset input weight value, m is the second preset input weight value, G is the green color extracted from the template material, and Alp2 is the second weighting coefficient for weighting processing in the green channel. The above is just an example, and a certain number of key points can be selected in the area to be processed and traversed by the above formula and processed in sequence, which will not be repeated here.

It should be noted that in addition to the two channels listed above, a third channel can also be set, such as the red channel. For example, the weighting coefficient for weighting processing in the red channel may be set to 1.2, which will not be repeated here.

In the embodiment of the present disclosure, a target face image is obtained, and key point data of the target face image is extracted from the target face image; a template material is obtained, and the template material is drawn into a blank texture by a preset method, so that the template material Corresponding to the to-be-processed area of the target face image; weighting processing is performed on at least two color channels of the to-be-processed area of the target face image based on the template material. The face image processing method provided by the embodiments of the present disclosure can accurately determine the area to be processed of the target face image, and perform weighting processing on at least two color channels of the target face image area to be processed based on the template material , therefore, the final weighted-processed target face image has a better beautifying effect and improves user experience; in addition, due to the face image processing method provided by the embodiment of the present disclosure, it is not necessary to perform real-time analysis on the target face To process each frame of the image, it is only necessary to perform pixel correction processing on the pixel values of each key point in the area of the target face image to be processed, thus improving the processing efficiency of the face image.

The following is an embodiment of an apparatus for processing a face image according to an embodiment of the present disclosure, which can be used to execute the embodiment of the method for processing a face image according to the embodiment of the present disclosure. For details that are not disclosed in the embodiments of the apparatus for processing a face image in the embodiment of the present disclosure, please refer to the embodiment of the method for processing a face image in the embodiment of the present disclosure.

Please refer to FIG. 7 , which shows a schematic structural diagram of a device for processing a face image according to an exemplary embodiment of the present invention. The device for processing the face image can be implemented as all or a part of the terminal through software, hardware or a combination of the two. The apparatus for processing a face image includes an acquiring unit 702, an extracting unit 704, a drawing unit 706 and a weighting processing unit 708;

Specifically, the obtaining unit 702 is configured to obtain the target face image and obtain the template material;

Extraction unit 704, for extracting the key point data of the target face image from the target face image obtained by the acquisition unit 702;

The drawing unit 706 is configured to draw the template material obtained by the obtaining unit 702 into the blank texture by a preset method, so that the template material corresponds to the area to be processed of the target face image;

The weighting processing unit 708 is configured to perform weighting processing on at least two color channels of the to-be-processed area of the target face image based on the template material obtained by the obtaining unit 702 .

Optionally, the device further includes:

A determination unit (not shown in FIG. 7 ), for determining the fusion region of the target face image in the blank texture based on the key point data of the target face image extracted by the extraction unit;

The obtaining unit 702 is further configured to obtain the texture data of the template material;

The drawing unit 706 is specifically configured to: draw the template material to the fusion area in the blank texture according to the index method and the texture data of the template material.

Optionally, the obtaining unit 702 is further configured to:

Get the texture data of the template material;

The drawing unit 706 is configured to: draw the template material obtained by the obtaining unit 702 into a blank texture by means of an index, wherein the texture data of the template material is used to index the key point data of the target face image.

Optionally, the weighting processing unit 708 is configured to:

In the first channel, weighting processing is performed on at least two color channels of the to-be-processed area of the target face image based on the template material, and

In the second channel, weighting processing is performed on at least two color channels of the region to be processed in the target face image based on the template material.

Optionally, the first channel is a blue channel, and the device further includes:

a determining unit, further configured to determine a first highlighting weight value used for highlighting the target area in the blue channel;

The weighting processing unit 708 is further configured to: according to the first highlighting weight value determined by the determining unit and the pixel value corresponding to each key point of the target face image, in the first channel, the target face image to be processed based on the template material. The region is subjected to weighting processing, so that the region to be processed in the target face image is brightened in the blue channel by the first highlighting weight value.

Optionally, the obtaining unit 702 is further configured to:

Obtain the first preset input weight value, the second preset input weight value, the blue color extracted from the template material, and the first weighting coefficient for weighting processing in the blue channel, the first preset input weight value and the second preset weight value. The sum of the preset input weight values is 1;

The determining unit is specifically configured to: according to the first preset input weight value obtained by the obtaining unit 702, the second preset input weight value, the blue color extracted from the template material, and the first weighting coefficient for performing weighting processing in the blue color channel A weighting process is performed to determine the first highlighting weight value.

Optionally, the second channel is a blue channel, and the determining unit is further configured to: determine a second highlighting weight value used for highlighting the target area in the green channel;

The weighting processing unit 708 is further configured to: according to the second highlighting weight value obtained by the obtaining unit 702 and the pixel value corresponding to each key point of the target face image, in the second channel, the target face image is to be processed based on the template material. The region of the target face image is subjected to weighting processing, so that the region to be processed in the target face image is brightened in the green channel by the second highlighting weight value.

Optionally, the obtaining unit 702 is further configured to: obtain the first preset input weight value, the second preset input weight value, the green color extracted from the template material, and the second weighting coefficient for weighting processing in the green channel, The sum of a preset input weight value and a second preset input weight value is 1;

The determining unit is further configured to: perform weighting according to the first preset input weight value obtained by the obtaining unit 702, the second preset input weight value, the green color extracted from the template material, and the second weighting coefficient for weighting processing in the green channel processing to determine the second highlighting weight value.

Optionally, the target area is the area where the lying silkworm is located.

It should be noted that, when the apparatus for processing a face image provided by the above embodiment executes the method for processing a face image, only the division of the above functional units is used as an example for illustration. In practical applications, the above functions may be allocated as required. It is completed by different functional units, that is, the internal structure of the device is divided into different functional units to complete all or part of the functions described above. In addition, the apparatus for processing a face image provided by the above embodiments and the embodiment of the method for processing a face image belong to the same concept, and the embodiment and implementation process are detailed in the embodiment of the method for processing a face image, which will not be repeated here.

In the embodiment of the present disclosure, the acquisition unit is used to acquire the target face image and the template material; the extraction unit is used to extract the key point data of the target face image from the target face image acquired by the acquisition unit; the drawing unit uses The template material acquired by the acquisition unit is drawn into the blank texture by a preset method, so that the template material corresponds to the area to be processed of the target face image; and the weighting processing unit is used for the target person based on the template material acquired by the acquisition unit. At least two color channels of the area to be processed in the face image are weighted. The device for processing a face image provided by the embodiment of the present disclosure can accurately determine the region to be processed in the target face image, and perform weighting processing on at least two color channels of the region to be processed in the target face image based on the template material. , therefore, the weighted target face image finally obtained has a better beautifying effect, which improves the user experience. In addition, due to the face image processing method provided by the embodiment of the present disclosure, it is not necessary to perform real-time analysis on the target face. To process each frame of the image, it is only necessary to perform pixel correction processing on the pixel values of each key point in the area of the target face image to be processed, thus improving the processing efficiency of the face image.

As shown in FIG. 8 , this embodiment provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, where the processor runs the computer program to implement the above-mentioned method steps.

Embodiments of the present disclosure provide a storage medium storing computer-readable instructions, and a computer program is stored thereon, and the program is executed by a processor to implement the above method steps.

Referring next to FIG. 8 , it shows a schematic structural diagram of an electronic device suitable for implementing an embodiment of the present disclosure. Terminal devices in the embodiments of the present disclosure may include, but are not limited to, such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablets), PMPs (portable multimedia players), vehicle-mounted terminals (eg, mobile terminals such as in-vehicle navigation terminals), etc., and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in FIG. 8 is only an example, and should not impose any limitation on the function and scope of use of the embodiments of the present disclosure.

As shown in FIG. 8, the electronic device may include a processing device (eg, a central processing unit, a graphics processor, etc.) 801, which may be loaded into a random access memory according to a program stored in a read only memory (ROM) 802 or from a storage device 808 The program in the (RAM) 803 executes various appropriate operations and processes. In the RAM 803, various programs and data necessary for the operation of the electronic device are also stored. The processing device 801 , the ROM 802 , and the RAM 803 are connected to each other through a bus 804 . An input/output (I/O) interface 805 is also connected to bus 804 .

Typically, the following devices may be connected to the I/O interface 805: input devices 806 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; including, for example, a liquid crystal display (LCD), speakers, vibration An output device 807 of a computer, etc.; a storage device 808 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 809. Communication means 809 may allow the electronic device to communicate wirelessly or by wire with other devices to exchange data. While FIG. 8 illustrates an electronic device having various means, it should be understood that not all of the illustrated means are required to be implemented or available. More or fewer devices may alternatively be implemented or provided.

In particular, according to embodiments 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 computer-readable medium, the computer program containing program code for performing the method illustrated in the flowchart. In such an embodiment, the computer program may be downloaded and installed from the network via the communication device 809 , or from the storage device 808 , or from the ROM 802 . When the computer program is executed by the processing device 801, the above-mentioned functions defined in the methods of the embodiments of the present disclosure are executed.

It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples of computer readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable Programmable read only memory (EPROM or flash memory), fiber optics, portable compact disk read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing. In this disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present disclosure, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with computer-readable program code embodied thereon. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device . Program code embodied on a computer readable medium may be transmitted using any suitable medium including, but not limited to, electrical wire, optical fiber cable, RF (radio frequency), etc., or any suitable combination of the foregoing.

The above-mentioned computer-readable medium may be included in the above-mentioned electronic device; or may exist alone without being assembled into the electronic device.

Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including object-oriented programming languages—such as Java, Smalltalk, C++, but also conventional Procedural programming language - such as the "C" language or similar programming language. 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 (eg, using an Internet service provider through Internet connection).

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods 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 that contains one or more logical functions for implementing the specified functions executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the blocks 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 is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or operations , or can be implemented in a combination of dedicated hardware and computer instructions.

The units involved in the embodiments of the present disclosure may be implemented in a software manner, and may also be implemented in a hardware manner. Among them, the name of the unit does not constitute a limitation of the unit itself under certain circumstances.

Claims (11)

1. A method for processing a face image, wherein the method comprises: acquiring a target face image, and extracting key point data of the target face image from the target face image; Obtaining template material, and drawing the template material into the blank texture by a preset method, so that the template material corresponds to the area to be processed of the target face image; Weighting processing is performed on at least two color channels of the to-be-processed region of the target face image based on the template material. 2 . The method according to claim 1 , wherein the drawing the template material into a blank texture by a preset method comprises: 2 . determining the fusion region of the target face image in the blank texture based on the key point data of the target face image; obtain the texture data of the template material; Drawing the template material into the fusion area in the blank texture according to the index method and the texture data of the template material. 3 . The method according to claim 1 , wherein the performing weighting processing on at least two color channels of the to-be-processed area of the target face image based on the template material comprises: 3 . In the first channel, weighting processing is performed on at least two color channels of the to-be-processed area of the target face image based on the template material, and In the second channel, weighting processing is performed on at least two color channels of the to-be-processed area of the target face image based on the template material. 4 . The method according to claim 3 , wherein the first channel is a blue channel, and the at least two color channels of the region to be processed in the target face image are performed based on the template material. 5 . Weighted processing includes: determining a first lightening weight value for lightening the target area in the blue channel; According to the first highlighting weight value and the pixel value corresponding to each key point of the target face image, in the first channel, the region to be processed in the target face image is processed based on the template material. Weighting processing is performed, so that the region to be processed in the target face image is brightened in the blue channel by the first highlighting weight value. 5. The method according to claim 4, wherein the determining the first highlighting weight value comprises: Obtain a first preset input weight value, a second preset input weight value, the blue color extracted from the template material, and a first weighting coefficient for performing weighting processing in the blue color channel, the first preset The sum of the input weight value and the second preset input weight value is 1; According to the first preset input weight value, the second preset input weight value, the blue color extracted from the template material, and the first weighting process performed in the blue color channel The coefficients are weighted to determine the first highlighting weight value. 6. The method according to claim 4, wherein the second channel is a blue channel, and in the second channel, based on the template material, at least an area of the target face image to be processed is performed. Weighting of the two color channels includes: determining a second lightening weight value for lightening the target area in the green channel; According to the second highlighting weight value and the pixel value corresponding to each key point of the target face image, in the second channel, the region to be processed in the target face image is processed based on the template material. Weighting processing is performed, so that the region to be processed in the target face image is brightened in the green channel by the second highlighting weight value. 7. The method according to claim 6, wherein the determining the second highlighting weight value comprises: Obtain the first preset input weight value, the second preset input weight value, the green color extracted from the template material, and the second weighting coefficient for weighting processing in the green channel, the first The sum of the preset input weight value and the second preset input weight value is 1; According to the first preset input weight value, the second preset input weight value, the green color extracted from the template material, and the second weighting coefficient for weighting processing in the green channel The weighting process is performed to determine the second highlighting weight value. 8. The method of claim 1, wherein: The target area is the area where the lying silkworm is located. 9. A device for processing a face image, wherein the device comprises: an acquisition unit, an extraction unit, a drawing unit, and a weighting processing unit; The obtaining the target face image, and obtaining the template material; The extraction unit is configured to extract the key point data of the target face image from the target face image obtained by the acquisition unit; the drawing unit, configured to draw the template material acquired by the acquisition unit into a blank texture in a preset manner, so that the template material corresponds to the area to be processed in the target face image; The weighting processing unit is configured to perform weighting processing on at least two color channels of the to-be-processed area of the target face image based on the template material obtained by the obtaining unit. 10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor runs the computer program to implement the method as claimed in the claims The method of any one of 1-8. 11. A computer-readable storage medium on which a computer program is stored, wherein the program is executed by a processor to implement the method according to any one of claims 1-8.

Images