CN111161381A - Poster template generation method and device, electronic equipment and storage medium - Google Patents
Poster template generation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a poster template generation method, a poster template generation device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring each layer of a plurality of posters, and determining the name of each layer; extracting position information of the outer contour of each layer, drawing the outer contour of each layer on a preset picture, and generating a plurality of poster templates by combining the name of each layer; and training the poster generation model by utilizing the plurality of poster templates, inputting the poster template to be manufactured into the trained poster generation model, and generating a new poster template. From this, solved artifical preparation poster template, lead to that the manufacture process is consuming time hard, efficiency is lower, has certain limitation, and template layout style is single, can't adapt to a plurality of poster size scheduling problems.
Description
Technical Field
The present invention relates to the field of poster manufacturing technologies, and in particular, to a method and an apparatus for generating a poster template, an electronic device, and a storage medium.
Background
With the development of economy, the demand of advertising has increased, and the share of poster art in advertising has occupied a lot, so poster designers are faced with huge poster making demands.
At present, the poster designer needs to spend a large amount of time to make various posters, and is consuming time hard, and each large company can make some poster templates in advance to deal with huge poster propaganda demand.
However, the related art poster making has the following disadvantages:
1) the manual operation is relied on, the manufacturing process is time-consuming and labor-consuming, and the efficiency is lower;
2) the quality of the template is limited by the experience of the poster designer;
3) the template layout style is single and cannot accommodate multiple poster sizes.
Disclosure of Invention
The invention provides a poster template generation method, a poster template generation device, electronic equipment and a storage medium, which are used for manually manufacturing a poster template, so that the manufacturing process is time-consuming and labor-consuming, the efficiency is low, certain limitations are realized, the layout style of the template is single, and the poster template cannot adapt to the sizes of a plurality of posters.
An embodiment of a first aspect of the present invention provides a method for generating a poster template, including the following steps: acquiring each layer of a plurality of posters, and determining the name of each layer; extracting the position information of the outer contour of each layer, drawing the outer contour of each layer on a preset picture, and generating a plurality of poster templates by combining the name of each layer; and training a poster generation model by using the plurality of poster templates, inputting the poster template to be manufactured into the trained poster generation model, and generating a new poster template.
An embodiment of a first aspect of the present invention provides a poster template generation apparatus, including: the acquisition module is used for acquiring each layer of a plurality of posters and determining the name of each layer; the extraction module is used for extracting the position information of the outer contour of each layer, drawing the outer contour of each layer on a preset picture, and generating a plurality of poster templates by combining the name of each layer; and the generating module is used for training a poster generating model by utilizing the poster templates, inputting the poster template to be manufactured into the trained poster generating model and generating a new poster template.
An embodiment of a third aspect of the present invention provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being arranged to perform a method of poster template generation as described in the above embodiments.
A fourth aspect of the invention provides a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform a method of poster template generation as described in the above embodiments.
The poster template with high quality is as training data, trains poster generative model to can generate the manifold poster template of arbitrary size overall arrangement, need not the manual work and operate, not only simple easy operation effectively promotes template preparation efficiency, effectively guarantees the suitability and the practicality of template preparation moreover, and template layout style is diversified, promotes to use and experiences. From this, solved artifical preparation poster template, lead to that the manufacture process is consuming time hard, efficiency is lower, has certain limitation, and template layout style is single, can't adapt to a plurality of poster size scheduling problems.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of a method of generating a poster template according to an embodiment of the invention;
FIG. 2 is a flow chart of a method of generating a poster template according to one embodiment of the invention;
FIG. 3 is a schematic illustration of a technical effect of a poster template according to an embodiment of the invention;
FIG. 4 is a diagram illustrating a concrete network structure and training process of a variational autoencoder model according to an embodiment of the present invention; and
fig. 5 is a block schematic diagram of a poster template generation apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
A method, an apparatus, an electronic device, and a storage medium for generating a poster template according to embodiments of the present invention are described below with reference to the accompanying drawings. The invention provides a poster template generation method, which aims to solve the problems that a poster designer mentioned in the background technology center needs to spend a large amount of time to manufacture various posters, the time and the labor are consumed, and large companies can manufacture some poster templates in advance to meet the propaganda requirements of huge posters. From this, solved artifical preparation poster template, lead to that the manufacture process is consuming time hard, efficiency is lower, has certain limitation, and template layout style is single, can't adapt to a plurality of poster size scheduling problems.
Specifically, fig. 1 is a schematic flow chart of a method for generating a poster template according to an embodiment of the present invention.
As shown in fig. 1, the poster template generation method includes the steps of:
in step S101, each layer of a plurality of posters is acquired, and the name of each layer is determined.
In the embodiment of the invention, in order to facilitate the layer structuring process, each layer is named, so that the template quality is improved, the template layout style is increased, and the method and the device are effectively suitable for a plurality of poster sizes.
Optionally, in an embodiment of the present invention, obtaining each layer of the poster and determining a name of each layer includes: acquiring the type of each poster; and obtaining the name of each layer according to the type of each poster and the corresponding naming rule.
It will be understood that a uniform naming convention is established for posters, and that specific naming may be made for posters according to specific types, such as "title", "subtitle", "logo", "graphic", etc., so that posters in a certain format, such as PSD format, are subjected to layer structuring according to the uniform naming convention, i.e., all layers are named according to the established naming convention.
In step S102, position information of the outer contour of each layer is extracted, the outer contour of each layer is drawn on a preset picture, and a plurality of poster templates are generated in combination with the name of each layer.
Optionally, in an embodiment of the present invention, extracting location information of an outer contour of each layer includes: acquiring the current format of each poster; and analyzing the posters according to the current format and the corresponding analysis mode of each poster to obtain the position information of the outer contour of each layer.
For example, taking structuring operation of high-quality poster layers in PSD format as an example, a PS software secondary development kit is used to analyze posters in PSD format, extract position information of an outer contour of each layer, draw an outer contour of each layer on a blank picture corresponding to a PSD file size according to the position information, and distinguish the layers by colors of the outer contour, and all posters in PSD format can be automatically template-extracted and stored as PNG picture format in a poster template library.
In step S103, a poster generation model is trained using a plurality of poster templates, and a poster template to be produced is input to the trained poster generation model, thereby generating a new poster template.
That is, as shown in fig. 2, after template extraction is automatically performed on a structured poster, templates of a poster template library are input into a model as training data for training, and a user can input poster templates of any size into the trained model to generate a new poster template.
Further, in one embodiment of the present invention, the poster generation model is a variational self-encoder model, wherein training the poster generation model using a plurality of poster templates comprises: inputting the poster template into a convolutional neural network of an encoder, wherein the input picture is x, the dimension is n, hidden variables of 2x m dimensions are output, one is a mean value mu, and the other is a standard deviation sigma; sampling a constant epsilon from a standard normal distribution N (0, 1), multiplying a standard deviation sigma by the constant epsilon, and adding the product to a mean value mu to obtain an m-dimensional hidden variable z; taking an m-dimensional hidden variable z as the input of a decoder, and outputting a new poster template x' after passing through a deconvolution neural network; and minimizing the objective function, and training the network by using a random gradient descent method until convergence to obtain the trained poster generation model.
As shown in fig. 3, after the variational self-encoder model is trained, the user only needs to input a poster template with any size into the poster generation model, and a new poster template can be generated, and similar effect diagrams are shown in the figure.
In one embodiment of the present invention, the objective function is:
lossall＝loss(x，x′)+KL，
wherein x is the input picture, x' is the new poster template, and KL is divergence.
As shown in fig. 4, a detailed description of a specific network structure and a training process of a variational self-coder model (VAEs) model is described below.
Step S1: the template is extracted from a poster template library, the input picture is assumed to be x, the dimension is n, the template is input into an Encoder (Encoder) convolutional neural network, the output is hidden variables of 2x m dimensions, one is a mean value mu, and the other is a standard deviation sigma.
Step S2: epsilon (epsilon is a constant relative to the neural network) is sampled from a standard normal distribution N (0, 1), and the standard deviation sigma is multiplied by epsilon and then added to the mean value mu to obtain an m-dimensional hidden variable z, i.e., z ═ epsilon · sigma + mu, where z is N (mu, sigma).
Step S3: the m-dimensional hidden variable z is used as the input of a Decoder (Decoder), and is output as a new poster template after passing through a deconvolution neural network, and is set as x' of n dimensions.
Step S4: the Encoder (Encoder) and Decoder (Decode) are combined to output X' in one and the same dimension for each X ∈ X. The aim of the invention is to make x' and x as close as possible, i.e. x can recover the original information as much as possible by the Decoder (Decoder) after passing through the Encoder (Encoder). According to the assumptions of the model, it is not the distance between x and x 'that is to be optimized, but rather the likelihood of x that is to be maximized, so the difference between x and x' is measured using the mean square error loss function (MSE):
in addition, the mean μ and standard deviation σ of the output of the Encoder (Encoder) need to be constrained, where K-L Divergence (Kullback-Leibler Divergence), also called relative entropy, is used, and the K-L Divergence of the model is:
KL＝-0.5(1+log2σ2-μ2-σ2)。
the overall loss function of the model is:
lossall＝loss(x,x′)+KL，
the loss function is the objective function of the model, the final training result of the model is the minimum objective function, and finally the network is trained by using a random gradient descent method (SGD) until convergence.
According to the poster template generation method provided by the embodiment of the invention, firstly, the high-quality poster layer is subjected to structuring operation, and the structured poster is subjected to template extraction automatically, so that the high-quality poster template is used as training data to train a poster generation model, and further poster templates with various sizes and layouts can be generated, manual operation is not required, the method is simple and easy to operate, the template manufacturing efficiency is effectively improved, the applicability and the practicability of template manufacturing are effectively ensured, the template layout style is diversified, and the use experience is improved.
Next, a poster template creation apparatus proposed according to an embodiment of the present invention will be described with reference to the drawings.
Fig. 5 is a block schematic diagram of a poster template generation apparatus of an embodiment of the present invention.
As shown in fig. 5, the poster template generation apparatus 10 includes: an acquisition module 100, an extraction module 200 and a generation module 300.
The obtaining module 100 is configured to obtain each layer of a plurality of posters, and determine a name of each layer.
The extracting module 200 is configured to extract the position information of the outer contour of each layer, draw the outer contour of each layer on a preset picture, and generate a plurality of poster templates by combining the names of each layer.
The generating module 300 is configured to train a poster generating model using the plurality of poster templates, input a poster template to be produced into the trained poster generating model, and generate a new poster template.
Optionally, in an embodiment of the present invention, the obtaining module 100 includes: a first acquisition unit and a naming unit.
Wherein the first obtaining unit is used for obtaining the type of each poster.
And the naming unit is used for obtaining the name of each layer according to the type of each poster and the corresponding naming rule.
Optionally, in an embodiment of the present invention, the extraction module 200 includes: a second acquisition unit and an analysis unit.
Wherein the second obtaining unit is used for obtaining the current format of each poster.
And the analysis unit is used for analyzing the posters according to the current format and the corresponding analysis mode of each poster so as to obtain the position information of the outer contour of each layer.
It should be noted that the explanation of the above poster template generation method embodiment is also applicable to the poster template generation apparatus of this embodiment, and details are not repeated here.
According to the poster template generation device provided by the embodiment of the invention, firstly, the high-quality poster layer is subjected to structuring operation, and the structured poster is subjected to template extraction automatically, so that the high-quality poster template is used as training data to train a poster generation model, and further, poster templates with various sizes and layouts can be generated, manual operation is not required, the poster template generation device is simple and easy to operate, the template manufacturing efficiency is effectively improved, the applicability and the practicability of template manufacturing are effectively ensured, the template layout style is diversified, and the use experience is improved.
In order to implement the above embodiments, the present invention further provides an electronic device, including: at least one processor and a memory. Wherein the memory is in communication with the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being arranged to perform the poster template generation method of the above embodiments, such as to:
each layer of a plurality of posters is captured and a name for each layer is determined.
And extracting the position information of the outer contour of each layer, drawing the outer contour of each layer on a preset picture, and generating a plurality of poster templates by combining the names of each layer.
And training the poster generation model by utilizing the plurality of poster templates, inputting the poster template to be manufactured into the trained poster generation model, and generating a new poster template.
In order to achieve the above embodiments, the present invention also proposes a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the poster template generation method of the above embodiments.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of implementing the embodiments of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A method of generating a poster template, comprising the steps of:
acquiring each layer of a plurality of posters, and determining the name of each layer;
extracting the position information of the outer contour of each layer, drawing the outer contour of each layer on a preset picture, and generating a plurality of poster templates by combining the name of each layer; and
and training a poster generation model by using the plurality of poster templates, inputting the poster template to be manufactured into the trained poster generation model, and generating a new poster template.
2. The method of claim 1, wherein the obtaining each layer of the poster and determining a name for the each layer comprises:
acquiring the type of each poster;
and obtaining the name of each layer according to the type of each poster and the corresponding naming rule.
3. The method according to claim 1, wherein the extracting the position information of the outer contour of each layer comprises:
acquiring the current format of each poster;
and analyzing the poster according to the current format and the corresponding analysis mode of each poster to obtain the position information of the outer contour of each layer.
4. The method of claim 1, wherein the poster generation model is a variational self-encoder model, and wherein the training the poster generation model using the plurality of poster templates comprises:
inputting the poster template into a convolutional neural network of an encoder, wherein the input picture is x, the dimension is n, hidden variables of 2x m dimensions are output, one is a mean value mu, and the other is a standard deviation sigma;
sampling a constant epsilon from a standard normal distribution N (0, 1), multiplying the standard deviation sigma by the constant epsilon, and adding the product of the standard deviation sigma and the constant epsilon to the mean value mu to obtain an m-dimensional hidden variable z;
taking the m-dimensional hidden variable z as the input of a decoder, and outputting a new poster template x' after passing through a deconvolution neural network;
and minimizing an objective function, and training the network by using a random gradient descent method until convergence to obtain the trained poster generation model.
5. The method of claim 4, wherein the objective function is:
lossall＝loss(x，x′)+KL，
wherein x is the input picture, x' is the new poster template, and KL is divergence.
6. An apparatus for generating a poster template, comprising:
the acquisition module is used for acquiring each layer of a plurality of posters and determining the name of each layer;
the extraction module is used for extracting the position information of the outer contour of each layer, drawing the outer contour of each layer on a preset picture, and generating a plurality of poster templates by combining the name of each layer; and
and the generating module is used for training a poster generating model by utilizing the poster templates, inputting the poster template to be manufactured into the trained poster generating model and generating a new poster template.
7. The apparatus of claim 6, wherein the obtaining module comprises:
a first acquisition unit for acquiring a type of each poster;
and the naming unit is used for obtaining the name of each layer according to the type of each poster and the corresponding naming rule.
8. The apparatus of claim 6, wherein the extraction module comprises:
a second obtaining unit configured to obtain a current format of each poster;
and the analysis unit is used for analyzing the posters according to the current format and the corresponding analysis mode of each poster so as to obtain the position information of the outer contour of each layer.
9. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement a method of generating a poster template as claimed in any of claims 1 to 5.
10. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that the program is executable by a processor for implementing the method of generating a poster template of any of claims 1-5.
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| CN113223187A (en) * | 2021-04-29 | 2021-08-06 | 西安点告网络科技有限公司 | Advertisement finished product image batch manufacturing method, system, equipment and readable storage medium |
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