CN110807727B - Method and system for generating network group head portrait - Google Patents
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Abstract
The invention discloses a method and a system for generating a network group head portrait, wherein the method comprises the following steps: collecting the number of all members in the network group, and sequentially downloading the personal head images of all members; scanning the personal head portraits of all the members, and determining the directions of the personal head portraits through a direction algorithm; dividing the personal head portrait of a single member into 36 squares in total by equal proportion of length and width of 6A, identifying images in the squares, identifying characters of a monochrome image and grabbing the characters when the personal head portrait is a network group default monochrome image, and identifying and grabbing pictures in a custom head portrait when the personal head portrait is a custom head portrait; and splicing the individual head portraits of all the grabbed members into rectangular grids through a rectangular coordinate system, carrying out fillet cutting on the rectangular grids, and setting the cut circular images as newly generated network group head portraits. The invention can keep the personal head portrait characteristics of all members in the network group and improve the identification degree among the members through the head portrait of the network group.
Description
Technical Field
The invention relates to the field of Internet, in particular to a method and a system for generating a network group head portrait.
Background
The development of network communication tools is wider and wider, and a plurality of groups have more and more application to the network communication tools in the process of life or office, each network communication tool mostly comprises a network group, and any network group comprises a plurality of people including a group owner. At present, any member in a plurality of network groups has own head portraits, and the person can be identified at a glance through the head portraits, so that the identification is convenient. However, the group as a whole of the network group generally has personalized avatars, and the group to which the avatar belongs can be recognized at a glance through the personalized avatars.
However, it is difficult to recognize each member through the network group avatar, because the network group chat avatar of the instant messaging software is generated at present, the general method in the market is to select the personal avatar of the network group user by the server to splice to generate the network group avatar picture, but the method is usually simple splicing and cutting, and has no great difference except for the shape and the number of the displayed avatar. The integrity of the user avatar presentation is not taken into account in detail. Especially, the integrity of the head portrait of the user spliced at the edge part is greatly reduced. How to generate a network group avatar through the personal avatar of each member in the network group, and how to complete the identification of the members in the network group through the network group avatar, how to keep the integrity of the avatar of each network group member in the network group avatar, and further technical innovation is needed.
Disclosure of Invention
In order to solve the problems in the prior art, embodiments of the present invention provide a method and a system for generating a network group avatar, which can complete automatic generation of the network group avatar, so that the network group avatar retains personal avatar characteristics of all members in a network group to the maximum extent possible, and the identification degrees of the network group members are improved by the network group avatar.
In order to solve the technical problems, the invention adopts the technical scheme that:
in a first aspect, an embodiment of the present invention provides a method for generating a network group avatar, including the following steps:
collecting the number of all members in a network group, and sequentially downloading the head portraits of all members;
scanning the personal head portraits of all the members, and determining the directions of the personal head portraits through a direction algorithm;
dividing the personal head portrait of a single member into 36 squares in total by length and width in an equal proportion, identifying images in the squares, identifying and grabbing characters of a monochrome image when the personal head portrait is the default monochrome image of the network group, and identifying and grabbing pictures in the custom head portrait when the personal head portrait is the custom head portrait;
and splicing the individual head portraits of all the captured members into a rectangular grid through a rectangular coordinate system, performing fillet cutting on the rectangular grid, and setting the cut circular image as a newly generated network group head portraits.
Further, in the process of recognizing the images in the squares, the range of the squares for capturing the characters or the custom head portrait is 4a × 4a.
Further, during the process of splicing the individual head portraits, the method further comprises the step of separating any adjacent single member head portraits, wherein the separation distance is at least one unit length of the rectangular coordinate system.
Furthermore, the grabbing of the user-defined head portrait at least comprises a face image, and the grabbing of the characters of the monochrome image at least comprises a name image.
Further, when a member is newly added to the network group, the original network group head portrait is logged off, and the network group head portrait is regenerated according to the number of the newly added members of the network group, so that the original network group head portrait is replaced.
On the other hand, an embodiment of the present invention further provides a system for generating a network group avatar, including:
the system comprises a member acquisition module, a member selection module and a member selection module, wherein the member acquisition module is used for collecting the number of all members in a network group and sequentially downloading the personal head portraits of all members;
the head portrait positioning module is used for scanning the personal head portraits of all the members and determining the directions of the personal head portraits through a direction algorithm;
the head portrait grabbing module is used for dividing the personal head portrait of a single member into 36 squares in total by 6A x 6A in an equal proportion, identifying images in the squares, identifying characters of a monochrome image and grabbing the characters when the personal head portrait is the monochrome image which is defaulted by a network group, and identifying pictures in the custom head portrait and grabbing the pictures when the personal head portrait is the custom head portrait;
and the network group head portrait generating module is used for splicing the individual head portraits of all the grabbed members into rectangular grids through a rectangular coordinate system, carrying out fillet cutting on the rectangular grids, and setting the cut circular images as newly generated network group head portraits.
Further, the head portrait capturing module comprises an image recognition unit, and is used for capturing the characters or the custom head portrait within the range of the square 4a by 4a in the process of recognizing the images in the square.
Further, the network group avatar generation module includes an avatar stitching unit, configured to split any adjacent single member avatar during the process of stitching the individual avatar, where the split distance is at least a unit length of the rectangular coordinate system.
Furthermore, the grabbing of the user-defined head portrait at least comprises a face image, and the grabbing of the characters of the monochrome image at least comprises a name image.
Furthermore, the network group head portrait generation module further comprises a head portrait replacement unit, which is used for logging off the original network group head portrait when members are newly added into the network group, and regenerating the network group head portrait according to the number of the newly added members of the network group, so as to complete replacement of the original network group head portrait.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
the embodiment of the invention discloses a method and a system for generating a network group head portrait, wherein in the generation process of the network group head portrait, the number of all members in a network group and a personal head portrait are firstly determined, then the head portraits of all the members in the group are scanned and then directionally positioned, then the head portrait of each member is divided and captured by a 6A image division method, so that the captured head portrait comprises human faces or characters, finally the captured images are spliced into a rectangle, and finally the rectangle is subjected to fillet cutting, so that the finally generated circular network group head portrait can maximally reserve the characteristics of the personal head portraits of all the members in the network group, and the members can identify the members in the group through the group head portrait, and the identification degree of the members in the network group is improved through the network group head portrait. The embodiment of the invention displays the head portrait information of the user as much as possible, reduces the head portrait of the user and places the head portrait in the circle, solves the problem of incomplete display, and has the advantages of rapid image generation process and high imaging accuracy.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for generating a network group avatar according to an embodiment of the present invention;
FIG. 2 is a logic diagram of a method for generating a network group avatar according to an embodiment of the present invention;
fig. 3 is a schematic structural component diagram of a system for generating a network group avatar according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1, an embodiment of the present invention provides a method for generating a network group avatar, including the following steps:
s1: collecting the number of all members in a network group, and sequentially downloading the head portraits of all members;
s2: scanning the personal head portraits of all the members, and determining the directions of the personal head portraits through a direction algorithm;
s3: dividing the personal avatar of a single member into 36 squares in total by equal proportion of length and width of 6A, identifying images in the squares, identifying and grabbing characters of a monochrome image when the personal avatar is a network group default monochrome image, and identifying and grabbing pictures in the custom avatar when the personal avatar is a custom avatar;
s4: and splicing the individual head portraits of all the grabbed members into rectangular grids through a rectangular coordinate system, carrying out fillet cutting on the rectangular grids, and setting the cut circular images as newly generated network group head portraits.
Specifically, in the process of generating the network group head portrait, the number of all members in the network group and the personal head portrait are determined firstly, then the head portraits of all the members in the group are scanned and then directionally positioned, then the head portrait of each member is segmented and captured by a 6A image segmentation method, so that the captured head portrait picture comprises human faces or characters, finally the captured images are spliced into a rectangle, and finally the rectangle is subjected to fillet cutting, so that the finally generated circular network group head portrait can maximally reserve the characteristics of the personal head portraits of all the members in the network group, and the members can identify the members in the group through the network group head portrait, and the identification degree of the members in the network group is improved through the network group head portrait.
In the prior art, in the process of generating the network group head portrait, a server selects the personal head portraits of network group users to splice to generate the network group head portrait pictures, but the personal head portraits are usually simply spliced and cut, so that the shape and the number of the displayed head portraits are not greatly different, the problem of completeness of head portrait display of the users is not considered in details, particularly, the completeness of the head portraits spliced at the edge parts of the users is greatly reduced in the process of generating the network group head portrait of the current network group, and the recognition degree is too low due to too many sections of all users of the network group after splicing the head portraits, particularly, the human face head portraits are cut too many, so that the problem of incomplete display is solved, the image generation process is fast, and the imaging accuracy is high. In the prior art, the user avatar is square, which causes a blank at an edge part, and the most innovative point of the embodiment of the invention is a 6A cutting method, which aims to display the user avatar information as much as possible, improve the identification degree of the avatar, reduce the avatar of the user in the whole circle range of the avatar of the network group, solve the problem that the whole avatar of the network group is not fully displayed, select the enlarged and blurred avatar of the user as a background color in order to avoid the blank and free salience of the part, occupy only a small part of the avatar after the cutting, and make the user not perceive.
As shown in a logic diagram of the method for generating a network group head portrait disclosed in fig. 2, at this time, there are 4 members in the network group, in the process of generating the head portrait of the network group, each image of the four members is collected first, the rectangular personal image of each member is split into 36 squares by 6A × 6A, since the keywords in the head portrait of the four members are a, B, C, and D, the letters in the four head portraits are extracted after being scanned, and then are spliced together, and finally the head portrait composed of the four rectangles is cut into round corners, thereby completing the process of generating the head portrait of the four-person network group. The generated head portrait comprises key pictures in the personal head portraits of the four members, so that the members A, B, C and D can be seen at a glance by the members in the group, and the mutual identification degree of the members in the group is obviously improved.
Preferably, in the process of identifying the images in the squares, the range of the squares for capturing the characters or the customized head portrait is 4a x 4a. In order to improve the integrity of key pictures and keywords in the process of grabbing the personal head portrait, in the scanning process before grabbing, on the basis of dividing the whole personal head portrait into 36 squares including 6A, once the keywords and the key pictures are scanned, grabbing of 4A is performed, wherein since the images of all the members in the network group are the default official head portrait when the network group is established, the official head portrait is the default single-color background and the nickname names of all the members, namely the single-color image, each user can replace the default head portrait, for example, the default head portrait is replaced with the custom head portrait, and the custom head portrait can select favorite pictures, for example, pictures including the faces of all the members. Preferably, the capturing of the self-defined head portrait at least comprises a face image, and the capturing of the characters of the monochrome image at least comprises a name image. Specifically, in the process of capturing individual images of individual members, for example, when a default monochrome image is found after scanning, when characters in the monochrome image are a kanji name, a second kanji of a full name is recognized, the second kanji is captured, and when an english name is recognized, the second word of the words is captured, so that the captured characters or letters all fall within the set range of 4a × 4a. Similarly, when the scanned image is a user-defined image, for example, a portrait exists in the user-defined image, the faces of the portrait are captured, the captured faces are all in the set range of 4a x 4a, and then the captured images are spliced.
Preferably, during the process of stitching the individual head portraits, the method further comprises the step of separating any adjacent single member head portraits, wherein the separation distance is at least one unit length of the rectangular coordinate system. In the process of splicing after capturing images, in order to enable the position to be more reasonable in the splicing process, the splicing is performed in a rectangular coordinate system, for example, when the images in a four-person network group are spliced, the captured images are respectively placed in quadrants of four different coordinate systems, in order to enable the degree of distinction between each member image to be more obvious, the separation line is arranged, and the separation line is formed between two adjacent captured images through cutting. The width of the separation line is adjusted by a fixed algorithm according to the number of people in the network group, and the width of the separation line is the unit length of the coordinate system with the minimum separation distance.
Preferably, when a new member is added to the network group, the original network group head portrait is logged off, and the network group head portrait is regenerated according to the number of the new members of the network group, so that the original network group head portrait is replaced. Since the generation of the network group image depends on the number of the group members, once a new member joins the network group, the original network group image needs to be replaced again, and at the moment, because the generation records of the members are related in the generation of the network group image before the new member does not join, although the network group image is generated again after the new member joins, due to the existing generation records, the rapid replacement after the new member joins the network group each time is ensured.
Example two:
as shown in fig. 3, an embodiment of the present invention further provides a system for generating a network group avatar, including:
the system comprises a member acquisition module, a member selection module and a member selection module, wherein the member acquisition module is used for collecting the number of all members in a network group and sequentially downloading the personal head portraits of all members;
the head portrait positioning module is used for scanning the personal head portraits of all the members and determining the directions of the personal head portraits through a direction algorithm;
the head portrait grabbing module is used for dividing the personal head portrait of a single member into 36 squares in total by 6A x 6A in an equal proportion, identifying images in the squares, identifying characters of a monochrome image and grabbing the characters when the personal head portrait is the monochrome image which is defaulted by a network group, and identifying pictures in the custom head portrait and grabbing the pictures when the personal head portrait is the custom head portrait;
and the network group head portrait generating module is used for splicing the individual head portraits of all the captured members into a rectangular grid through a rectangular coordinate system, performing fillet cutting on the rectangular grid, and setting a cut circular image as a newly generated network group head portrait.
Specifically, in the process of generating the network group image, firstly, the number of all members in the network group and the personal head portrait are determined through the member acquisition module, then, the head portraits of all the members in the group are scanned through the head portrait positioning module and then are directionally positioned, then, the head portrait of each member is divided and grabbed through the 6A image division method through the head portrait grabbing module, so that the grabbed head portrait comprises human faces or characters, finally, the grabbed images are spliced into a rectangle, and finally, the rectangle is subjected to fillet cutting through the network group head portrait generation module, so that the finally generated circular network group head portrait can maximally reserve the characteristics of the personal head portraits of all the members in the network group, the members can identify the members in the group through the group head portraits, and the identification of the network members is improved through the network group head portraits. The embodiment of the invention displays the head portrait information of the user as much as possible, reduces the head portrait of the user and places the head portrait in the circle, solves the problem of incomplete display, and has the advantages of rapid image generation process and high imaging accuracy.
Preferably, the head portrait capturing module includes an image recognition unit, and is configured to capture the text or the custom head portrait within a range of the square 4a × 4a in the process of recognizing the image in the square. In order to improve the integrity of key pictures and keywords in the process of capturing the personal head portrait, in the scanning process before capturing, on the basis that the whole personal head portrait is divided into 36 squares including 6a, once the keywords and the key pictures are scanned, capturing of 4a, wherein since the images of all members in the network group are the default official head portrait when the network group is established, the official head portrait is the default monochromatic background and the nickname names of all the members, namely the monochromatic image, of course, each user can replace the default head portrait, for example, the default head portrait is transposed to the custom head portrait, and the custom head portrait can select the favorite pictures, for example, the pictures including the faces of all the members, and the like.
Preferably, the grabbing of the self-defined head portrait at least comprises a face image, and the grabbing of the characters of the monochrome image at least comprises a name image. Specifically, in the process of capturing an image of a single member individual, for example, when a default monochrome image is found after scanning, when characters in the monochrome image are a kanji name, a second kanji of the full name is recognized, the second kanji is captured, and when an english name is recognized, the second word of the words is captured, so that the captured characters or letters all fall within the set range of 4a. Similarly, when the scanned image is a user-defined image, for example, a portrait exists in the user-defined image, the faces of the portrait are captured, the captured faces are all in the set range of 4a x 4a, and then the captured images are spliced.
Preferably, the network group avatar generation module includes an avatar splicing unit, configured to split any adjacent single member avatar during the process of splicing the individual avatar, where the split distance is at least one unit length of the rectangular coordinate system. In the process of splicing after capturing images, in order to enable the position in the splicing process to be more reasonable, the splicing is performed in a rectangular coordinate system, for example, when the images in a four-person network group are spliced, the captured images are respectively placed in quadrants of four different coordinate systems, in order to enable the degree of distinction between each member image to be more obvious, the separation lines are arranged, and the separation lines are formed between two adjacent captured images through cutting. The width of the separation line is adjusted by a fixed algorithm according to the number of people in the network group, and the width of the separation line is the unit length of the coordinate system with the minimum separation distance.
Preferably, the network group avatar generation module further includes an avatar replacement unit, configured to log off the original network group avatar when a new member is added to the network group, and regenerate the network group avatar according to the number of the new members in the network group, so as to complete replacement of the original network group avatar. Because the generation of the network group image is determined by the number of the group members each time, once a new member joins the network group, the original network group image needs to be replaced again, and at the moment, because the generation records of the members are related in the generation of the network group image before the new member does not join, although the network group image is generated again after the new member joins each time, the rapid replacement after the new member joins the network group each time is ensured due to the existing generation records.
All the above-mentioned optional technical solutions can be combined arbitrarily to form the optional embodiments of the present invention, and are not described herein again.
It should be noted that: in the generation system of the network group avatar provided in the above embodiment, only the division of the above functional modules is used for illustration in the generation process of the network group avatar, and in practical applications, the above functions may be distributed by different functional modules according to needs, that is, the internal structure of the generation system of the network group avatar is divided into different functional modules to complete all or part of the above described functions. In addition, the system for generating a network group avatar provided in the foregoing embodiments and the method for generating a network group avatar belong to the same concept, and specific implementation processes thereof are described in detail in the method embodiments and are not described herein again.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (10)
1. A method for generating a network group head portrait is characterized by comprising the following steps: collecting the number of all members in a network group, and sequentially downloading the head portraits of all members; scanning the personal head portraits of all the members, and determining the directions of the personal head portraits through a direction algorithm; dividing the personal head portrait of a single member into 36 squares in total by length and width in an equal proportion, identifying images in the squares, identifying and grabbing characters of a monochrome image when the personal head portrait is the default monochrome image of the network group, and identifying and grabbing pictures in the custom head portrait when the personal head portrait is the custom head portrait; and splicing the individual head portraits of all the grabbed members into rectangular grids through a rectangular coordinate system, carrying out fillet cutting on the rectangular grids, and setting the cut circular images as newly generated network group head portraits.
2. The method according to claim 1, wherein the range of the squares for capturing the text or the custom avatar during the recognition process is 4a x 4a.
3. The method as claimed in claim 1 or 2, wherein the process of stitching the individual head portraits further comprises separating any adjacent single member head portraits by at least one unit length of the rectangular coordinate system.
4. The method for generating the network group avatar according to claim 1 or 2, wherein capturing the custom avatar at least includes a face image, and capturing the characters of the monochrome image at least includes a name image.
5. The method as claimed in claim 1 or 2, wherein when a new member is added to the network group, the original network group icon is cancelled, and the network group icon is regenerated according to the number of the new member in the network group, so as to complete the replacement of the original network group icon.
6. A system for generating a network group avatar, comprising: the system comprises a member acquisition module, a member selection module and a member selection module, wherein the member acquisition module is used for collecting the number of all members in a network group and sequentially downloading the personal head portraits of all members; the head portrait positioning module is used for scanning the personal head portraits of all the members and determining the directions of the personal head portraits through a direction algorithm; the head portrait grabbing module is used for dividing the personal head portrait of a single member into 36 grids in total by length and width in an equal proportion, identifying images in the grids, identifying and grabbing characters of a monochrome image when the personal head portrait is a network group default monochrome image, and identifying and grabbing pictures in the custom head portrait when the personal head portrait is a custom head portrait; and the network group head portrait generating module is used for splicing the individual head portraits of all the grabbed members into rectangular grids through a rectangular coordinate system, carrying out fillet cutting on the rectangular grids, and setting the cut circular images as newly generated network group head portraits.
7. The system according to claim 6, wherein the avatar capture module comprises an image recognition unit configured to capture the text or the custom avatar within the range of 4a x 4a for the pane during the process of recognizing the image in the pane.
8. The system according to claim 6 or 7, wherein the network group avatar generation module comprises an avatar stitching unit configured to stitch the individual avatar, and the separation distance is at least one unit length of the rectangular coordinate system for the separation between any adjacent single member avatars.
9. The system for generating the network group avatar according to claim 6 or 7, wherein the capturing of the custom avatar comprises at least a face image, and the text capturing of the monochrome image comprises at least a name image.
10. The system for generating a network group avatar of claim 6 or 7, wherein the module for generating a network group avatar further comprises an avatar replacement unit, configured to log off an original network group avatar when a new member is added to the network group, and to regenerate a network group avatar according to the number of the new members in the network group, thereby completing replacement of the original network group avatar.
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