CN112818432A - Method and device for generating tile laying design, electronic equipment and storage medium - Google Patents
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Abstract
The embodiment of the application provides a method and a device for generating a tile design, electronic equipment and a storage medium, and relates to the technical field of tile design. A method of generating a tiling design, comprising: acquiring a house type plan, wherein the house type plan comprises a customer restaurant area and a non-customer restaurant area; inputting the restaurant area into a preset GAN network to obtain function partitions of the restaurant area, wherein the function partitions comprise one or more of a living room partition, a restaurant partition, a passage partition, a hallway partition, a sofa partition and a background wall partition; calculating a first tile design drawing of the functional partition according to a first preset constraint condition; calculating a second tile layout design drawing of the non-passenger restaurant area according to a second preset constraint condition; and generating a full room space tile design drawing according to the first tile design drawing and the second tile design drawing. The generation method of the tile laying design can meet the tile laying design requirements of different users, improve the work efficiency of tile laying design and reduce the technical effect of the threshold of the tile laying design.
Description
Technical Field
The application relates to the technical field of tile design, in particular to a tile design generation method and device, electronic equipment and a storage medium.
Background
At present, with the rise of houses, the home decoration industry is also developed rapidly, and the decoration industry is generally designed before construction, so that materials are placed on orders and purchased and construction is guided; one important part is the tile laying design of the wall surface, the ground surface and the like, and the traditional method is to establish a block of tiles through manual modeling of relevant design software such as Revit and the like and then count relevant information.
In the prior art, a ceramic tile store has no professional ceramic tile designers, and one part of the designers in the store is changed from shopping guide and store leader, so that the professional design capability of the people is weak, and the designed scheme has more problems; in addition, the door threshold of general design software is higher, for this part of crowd, the degree of difficulty is bigger, and the work efficiency of tiling design is low.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method and an apparatus for generating a tile design, an electronic device, and a storage medium, which can meet tile design requirements of different users, improve work efficiency of tile design, and reduce a threshold of tile design.
In a first aspect, an embodiment of the present application provides a method for generating a tile design, including:
acquiring a house type plan, wherein the house type plan comprises a customer restaurant area and a non-customer restaurant area;
inputting the restaurant area into a preset GAN network to obtain function partitions of the restaurant area, wherein the function partitions comprise one or more of a living room partition, a restaurant partition, a passage partition, a hallway partition, a sofa partition and a background wall partition;
calculating a first tile design drawing of the functional partition according to a first preset constraint condition;
calculating a second tile layout of the non-passenger restaurant area according to a second preset constraint condition;
and generating a full room space tile design drawing according to the first tile design drawing and the second tile design drawing.
In the implementation process, the method for generating the tile layout obtains the functional partition of the guest restaurant area through a preset GAN (Generative adaptive Networks) network, then calculates a first tile layout of the functional partition according to a first preset constraint condition, calculates a second tile layout of the non-guest restaurant area according to a second preset constraint condition, and finally integrates the first tile layout and the second tile layout to obtain a full-room space tile layout; therefore, the tile design generation method can meet the tile design requirements of different users through the GAN model and the combined optimization design, improve the work efficiency of tile design and reduce the technical effect of the threshold of tile design entrance.
Further, before the step of inputting the customer restaurant area into a preset GAN network and obtaining the functional partition of the customer restaurant area, the method further includes:
inputting the house type plane training diagram into a GAN network model to obtain model parameters, wherein the model parameters comprise color marking information of the functional subareas, and the color marking information represents filling colors of all subareas in the functional subareas;
and generating the preset GAN network according to the model parameters.
In the implementation process, the preset GAN network is generated through training of the house type plane training diagram, so that when a new house type plane diagram is input, the functional partitions of the guest restaurant area in the house type plane diagram can be conveniently obtained through the GAN network, and the calculation time for performing the functional partitions on the guest restaurant area is greatly reduced.
Further, the step of inputting the restaurant area into a preset GAN network to obtain a functional partition of the restaurant area includes:
inputting the customer restaurant area into a preset GAN network, and separating the customer restaurant area into areas with different colors;
extracting the areas with different colors and carrying out contour area constraint correction on the areas with different colors to obtain a functional area contour map;
and obtaining the functional subarea of the customer service restaurant area according to the functional area outline drawing.
In the implementation process, after the guest restaurant area inputs a preset GAN network, the guest restaurant area is divided into different functional partitions, and each functional partition is marked and identified by different colors, so that each functional partition can be distinguished and extracted according to the contour information and the color information of each area.
Further, the first preset constraint condition includes a constraint parameter, and the step of calculating the first tile design drawing of the functional partition according to the first preset constraint condition includes:
iteratively inputting the constraint parameters into a preset cost function to obtain a cost function value set, wherein the constraint parameters comprise one or more of wave routing width, wave routing layer number, brick rotation angle, brick size and paving starting point position;
obtaining a minimum cost function value according to the cost function value set;
obtaining a limit value of the constraint parameter corresponding to the minimum cost function value according to the minimum cost function value;
and obtaining a first tile layout of the functional partition according to the limit value of the constraint parameter.
In the implementation process, because the number of the constraint parameters is limited, such as the wave routing width, the number of wave routing layers, the rotation angle of the brick, the size of the brick, the position of the laying point and the like are discrete and the number of the constraint parameters is limited, the constraint parameters can be iteratively input into a preset cost function by utilizing an exhaustion method to obtain a cost function value set; and the minimum cost function value in the cost function value set corresponds to the optimal tile laying scheme, and the limit value of the corresponding constraint parameter is reversely analyzed through the minimum cost function value, so that the optimal first tile laying design drawing can be obtained.
Further, the step of calculating a second tile design drawing of the non-customer restaurant zone according to a second preset constraint condition includes:
classifying the non-guest restaurant area into a kitchen and toilet area, a study/bedroom area and a vacant area;
when the non-passenger restaurant area is the kitchen and bathroom area, the second preset constraint condition is a wave-free routing constraint condition, and a kitchen and bathroom tile design drawing of the kitchen and bathroom area is calculated according to the wave-free routing constraint condition;
when the non-guest restaurant area is the study room/bedroom area, the second preset constraint condition is an I-shaped shop constraint condition, and a study room/bedroom brick laying design drawing of the study room/bedroom area is calculated according to the I-shaped shop constraint condition;
when the non-customer restaurant area is the vacant area, judging whether the vacant area is adjacent to the customer restaurant area, if so, replacing the second preset constraint condition with the first preset constraint condition, and calculating a vacant tile laying design drawing of the vacant area according to the first preset constraint condition; if not, the second preset constraint condition is the wave-free routing constraint condition, and a free tile laying design drawing of the free area is calculated according to the wave-free routing constraint condition;
and generating the second tile layout according to the kitchen and bathroom tile layout, the study/bedroom tile layout and the spare tile layout.
In the implementation process, the non-passenger restaurant area is classified into a kitchen and toilet area, a study/bedroom area and a vacant area, different constraint conditions are adopted according to different non-passenger restaurant areas, and an optimized tile laying design drawing of each part of the non-passenger restaurant area can be obtained.
In a second aspect, an embodiment of the present application provides a tile design generation apparatus, including:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring a house type plan, and the house type plan comprises a customer restaurant area and a non-customer restaurant area;
the partition module is used for inputting the restaurant area into a preset GAN network to obtain function partitions of the restaurant area, wherein the function partitions comprise one or more of a living room partition, a restaurant partition, a passage partition, a hallway partition, a sofa partition and a background wall partition;
the first calculation module is used for calculating a first tile layout of the functional partition according to a first preset constraint condition;
the second calculation module is used for calculating a second tile layout of the non-passenger restaurant area according to a second preset constraint condition;
and the first generation module is used for generating a whole room space tile design drawing according to the first tile design drawing and the second tile design drawing.
Further, the apparatus further comprises:
the training module is used for inputting the house type plane training diagram into the GAN network model to obtain model parameters, wherein the model parameters comprise color marking information of the functional subareas, and the color marking information represents filling colors of all subareas in the functional subareas;
and the second generation module is used for generating the preset GAN network according to the model parameters.
Further, the partitioning module includes:
the separation unit is used for inputting the restaurant area into a preset GAN network and separating the restaurant area into areas with different colors;
the extraction unit is used for extracting the areas with different colors and carrying out contour area constraint correction on the areas with different colors to obtain a functional area contour map;
and the partition unit is used for obtaining the functional partitions of the customer restaurant area according to the functional area outline drawing.
Further, the first calculation module includes:
the iteration unit is used for inputting the constraint parameters into a preset cost function in an iteration mode to obtain a cost function value set, and the constraint parameters comprise one or more of wave routing width, wave routing layer number, brick rotation angle, brick size and starting and laying point position;
a first obtaining unit, configured to obtain a minimum cost function value according to the cost function value set;
a second obtaining unit, configured to obtain, according to the minimum cost function value, a limit value of the constraint parameter corresponding to the minimum cost function value;
and the third obtaining unit is used for obtaining the first tile layout of the functional partition according to the limit value of the constraint parameter.
Further, the second calculation module includes:
the classification unit is used for classifying the non-passenger restaurant area into a kitchen and toilet area, a study/bedroom area and a spare area;
the first calculation unit is used for calculating a kitchen and bathroom tile layout of the kitchen and bathroom area according to the wave-free routing constraint condition;
the second calculation unit is used for calculating a study/bedroom tile design drawing of the study/bedroom area according to the I-shaped constraint condition when the non-guest dining room area is the study/bedroom area and the second preset constraint condition is the I-shaped constraint condition;
the third calculation unit is used for judging whether the vacant area is adjacent to the guest restaurant area, if so, replacing the second preset constraint condition with the first preset constraint condition, and calculating a vacant tile laying design drawing of the vacant area according to the first preset constraint condition; if not, the second preset constraint condition is the wave-free routing constraint condition, and a free tile laying design drawing of the free area is calculated according to the wave-free routing constraint condition;
and the generating unit is used for generating the second tile laying design drawing according to the kitchen and bathroom tile laying design drawing, the study/bedroom tile laying design drawing and the spare tile laying design drawing.
In a third aspect, an electronic device provided in an embodiment of the present application includes: memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to any of the first aspect when executing the computer program.
In a fourth aspect, a storage medium is provided in an embodiment of the present application, where the storage medium has instructions stored thereon, and when the instructions are executed on a computer, the instructions cause the computer to perform the method according to any one of the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product, which when run on a computer, causes the computer to perform the method according to any one of the first aspect.
Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the above-described techniques.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flow chart of a method for generating a tile design according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of another method for generating a tile design according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of calculating a second tile design drawing according to an embodiment of the present application;
fig. 4 is a block diagram of a device for generating a tile design according to an embodiment of the present disclosure;
FIG. 5 is a block diagram of an alternative tile design generation apparatus provided in an embodiment of the present application;
fig. 6 is a block diagram of a partition module according to an embodiment of the present disclosure;
fig. 7 is a block diagram of a first computing module according to an embodiment of the present disclosure;
FIG. 8 is a block diagram of a second computing module provided herein;
fig. 9 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
The method, the device, the electronic equipment and the storage medium for generating the tile design can be applied to tile design of a full-house bottom plate, for example, to household tile design; the method for generating the tile laying design obtains a function partition of a guest restaurant area through a preset GAN (Generative adaptive Networks) network, then calculates a first tile laying design drawing of the function partition according to a first preset constraint condition, calculates a second tile laying design drawing of a non-guest restaurant area according to a second preset constraint condition, and finally integrates the first tile laying design drawing and the second tile laying design drawing to obtain a whole room space tile laying design drawing; therefore, the tile design generation method can meet the tile design requirements of different users through the GAN model and the combined optimization design, improve the work efficiency of tile design and reduce the technical effect of the threshold of tile design entrance.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for generating a tile design provided in an embodiment of the present application, where the method for generating a tile design includes the following steps:
s100: a floor plan is obtained, the floor plan including a customer restaurant area and a non-customer restaurant area.
Illustratively, the house type plane graph is divided into a guest dining room area and a non-guest dining room area, so that different calculation schemes are adopted respectively according to the difference between the guest dining room area and the non-guest dining room area, and different tile laying design drawings are obtained respectively.
S200: and inputting the restaurant area into a preset GAN network to obtain the functional partitions of the restaurant area, wherein the functional partitions comprise one or more of a living room partition, a restaurant partition, a passage partition, a hallway partition, a sofa partition and a background wall partition.
Illustratively, the Generative Adaptive Networks (GAN) is a deep learning model, which is one of the most promising approaches to unsupervised learning in complex distributions in recent years. The model passes through (at least) two modules in the framework: the mutual game learning of the Generative Model (Generative Model) and the Discriminative Model (Discriminative Model) yields a reasonably good output. In the original GAN theory, it is not required that G and D are both neural networks, but only that functions that can be generated and discriminated correspondingly are fitted. Deep neural networks are generally used as G and D in practice. An excellent GAN application requires a good training method, otherwise the output may be unsatisfactory due to the freedom of neural network models.
Illustratively, the GAN model, which is an open source neural network model, can be used to generate pictures of functional partitions, and the embodiment of the present application is used to generate a partition scheme of a restaurant-guest area.
S300: and calculating a first tile design drawing of the functional partition according to a first preset constraint condition.
Illustratively, the first tile layout is used for tile layout of each functional partition in the restaurant area, and the first tile layout comprises specific numerical values of wave routing width, wave routing layer number, brick rotation angle, brick size, starting point position and the like.
S400: and calculating a second tile design drawing of the non-passenger restaurant region according to a second preset constraint condition.
Illustratively, the second tile design drawing is used for tile design of the non-passenger restaurant area, and the second tile design drawing comprises specific numerical values of wave routing width, wave routing layer number, brick rotation angle, brick size, starting and laying point position and the like.
S500: and generating a full room space tile design drawing according to the first tile design drawing and the second tile design drawing.
Exemplarily, the method for generating the tile laying design obtains the function partition of the guest restaurant area through a preset GAN network, then calculates a first tile laying design drawing of the function partition according to a first preset constraint condition, calculates a second tile laying design drawing of the non-guest restaurant area according to a second preset constraint condition, and finally integrates the first tile laying design drawing and the second tile laying design drawing to obtain a whole room space tile laying design drawing; therefore, the tile design generation method can meet the tile design requirements of different users through the GAN model and the combined optimization design, improve the work efficiency of tile design and reduce the technical effect of the threshold of tile design entrance.
Referring to fig. 2, fig. 2 is a schematic flow chart of another method for generating a tile design according to an embodiment of the present application.
Exemplarily, S200: before the step of inputting the customer restaurant area into a preset GAN network and obtaining the functional partition of the customer restaurant area, the method for generating the tile layout design further includes:
s110: and inputting the house type plane training diagram into the GAN network model to obtain model parameters, wherein the model parameters comprise color marking information of the functional subareas, and the color marking information represents filling colors of all the subareas in the functional subareas.
S120: and generating a preset GAN network according to the model parameters.
Illustratively, a preset GAN network is generated through training of the house type plane training diagram, so that when a new house type plane diagram is input, the functional partitions of the guest restaurant area in the house type plane diagram can be conveniently obtained through the GAN network, and the calculation time for performing the functional partitions on the guest restaurant area is greatly reduced.
Exemplarily, S200: inputting the customer restaurant area into a preset GAN network to obtain the functional subarea of the customer restaurant area, wherein the step comprises the following steps of:
s210: and inputting the customer restaurant area into a preset GAN network, and separating the customer restaurant area into areas with different colors.
S220: and extracting areas with different colors and carrying out contour area constraint correction on the areas with different colors to obtain a functional area contour map.
S230: and obtaining the functional subareas of the customer service restaurant area according to the functional area outline drawing.
Illustratively, after the guest restaurant area is input with a preset GAN network, the guest restaurant area is divided into different function partitions, each function partition is marked and identified by different colors, and therefore each function partition can be distinguished and extracted through the outline information and the color information of each area.
In some embodiments, a GAN network for partitioning a restaurant area is trained, the input of the GAN network is the contour of the restaurant area, the output of the GAN network is areas with different colors, six color areas can be artificially defined when training samples are labeled, the areas respectively represent a living room area, a restaurant area, an aisle area, an entrance area, a sofa area and a background wall area, through training of a large number of pictures (for example, 10000 pictures) in a one-to-one mode, the GAN network model can finally realize the following function that a house type contour map of the restaurant area is input, the areas which are divided into different colors can be obtained, finally, the color of the areas is extracted, and contour area constraint correction is carried out, the contours of different partitions can be obtained, and each partition is filled with the corresponding color.
Exemplarily, S300: the first preset constraint condition comprises constraint parameters, and the step of calculating the first tile design drawing of the functional partition according to the first preset constraint condition comprises the following steps:
s310: and iteratively inputting constraint parameters into a preset cost function to obtain a cost function value set, wherein the constraint parameters comprise one or more of wave routing width, wave routing layer number, brick rotation angle, brick size and laying start position.
S320: and obtaining a minimum cost function value according to the cost function value set.
Obtaining a limit value of the constraint parameter corresponding to the minimum cost function value according to the minimum cost function value;
s330: and obtaining a first tile design drawing of the functional partition according to the limit value of the constraint parameter.
Exemplarily, since the number of constraint parameters is limited, such as the wave routing width, the number of layers of wave routing, the rotation angle of the brick, the size of the brick, the position of the start and lay point, etc., are all discrete and limited, the constraint parameters can be iteratively input into a preset cost function by using an exhaustion method to obtain a cost function value set; and the minimum cost function value in the cost function value set corresponds to the optimal tile laying scheme, and the limit value of the corresponding constraint parameter is reversely analyzed through the minimum cost function value, so that the optimal first tile laying design drawing can be obtained.
Illustratively, the set of cost function values may be expressed as a number of small region bricks; optionally, the calculation method of the small region brick is as follows: the short side dimension of the block is less than a preset multiple (e.g., 0.375 times) of the short side dimension of the entire block. It should be understood that the preset multiple of the small section bricks is by way of example only and not by way of limitation, and that other values for the preset multiple of the small section bricks may be used.
In some embodiments, in order to save the number of bricks and reduce the appearance of small-area bricks, the embodiment of the application designs a logic of whole brick calculation, and an optimal brick laying scheme is calculated and obtained through the constraints of the width and the number of layers of area wave routing, the straight laying and the inclined laying of the bricks, the sizes of the bricks, the laying points of the bricks and other parameters. Illustratively, the calculation is as follows:
the conventional sizes of the bricks are 600 x 600, 800 x 800, 900 x 900, 600 x 1200, 800 x 1600, 900 x 1800, and the sizes of the bricks with one opening two and one opening four, which is the size constraint of the bricks in the calculation. Optionally, the wave routing constraint is that the total wave routing width is 50 at the minimum and 300 at the maximum, wherein the total wave routing width can be split into one layer, two layers and three layers of wave routing, the width interval of the wave routing of the one layer is 50-100, the width interval of the wave routing of the two layers is 100-200, the width interval of the wave routing of the three layers is 150-300, and the width of each wave routing can be adjusted, i.e. the wave routing widths of different sides can be different but need to be adjusted within a certain range, the interval of 0.8-1.2, and meanwhile, the wave routing widths of the symmetrical regions need to be ensured to be equal. The constraints of the paving mode are a straight paving mode and an inclined paving mode, namely brick paving is performed by rotating at an angle of 45 degrees (only square bricks), and whether long edge alignment or short edge alignment is adopted by considering whether the brick paving mode is rotated at 90 degrees or not is also required for rectangular bricks. The constraint of the take-up point is that the take-up point needs to be on the edge of the wave bond or the contour. And defining a cost function, namely the number of the small region bricks, wherein the small region bricks are calculated in a way that the short side dimension of the brick is less than 0.375 times of the short side dimension of the whole brick. And finally, obtaining the value of the cost function by continuously iterating parameters such as the position of the paving starting point, the size of the brick, the width of the wave routing, the rotation angle of the brick and the like, and finally finding the paving parameter corresponding to the minimum cost function value, namely the optimal paving scheme.
In some embodiments, in order to increase the diversity of the tile laying schemes, the first ten tile laying schemes may be selected and returned to the user for design, that is, the tile laying scheme corresponding to the ten cost function values with the smallest value in the cost function value set.
In some embodiments, in order to increase the aesthetic property of the tile laying scheme, in the embodiments of the present application, a designer may learn a matching scheme of the bonding wire color and the main tile color, manually set and specify 100 color matching combinations, and combine the ten previous tile laying scheme design parameters, so as to obtain 1000 different design schemes.
In some embodiments, in order to increase the diversity of the schemes, the examples of the present application further design two types of tile laying schemes, one is a straight laying scheme of a guest restaurant without wave bonding, and the other is a sub-area scheme. In the wave-free routing scheme, the embodiment of the present application still adopts the form from S310 to S330 to perform the combination optimization calculation, but one wave routing constraint is reduced. For the sub-area scheme, as in S310 to S330, the outline of the sub-area is artificially defined, the living room area is a square area with a size larger than 3 × 3 of the bottom brick size, the restaurant area is a square or rectangular area with a size larger than 2 × 3 of the bottom brick size, and for the rectangular area, in order to ensure that all bricks are whole bricks when obliquely laid, it is considered to adjust 200 the sub-area to the long side direction, increase this constraint condition, and continue to calculate according to the principle of combination optimization. Thus, various paving schemes and color matching of the dining room area can be obtained.
Referring to fig. 3, fig. 3 is a schematic flowchart of calculating a second tile design diagram according to an embodiment of the present application.
Exemplarily, S400: and calculating a second tile design drawing of the non-passenger restaurant region according to a second preset constraint condition, wherein the generation method of the tile design comprises the following steps:
s410: the non-guest restaurant areas are classified into a kitchen and toilet area, a study/bedroom area, and a vacant area.
S420: when the non-passenger dining room area is a kitchen and bathroom area, the second preset constraint condition is a wave-free routing constraint condition, and a kitchen and bathroom tile layout design drawing of the kitchen and bathroom area is calculated according to the wave-free routing constraint condition.
S430: and when the non-guest restaurant area is the study room/bedroom area, the second preset constraint condition is an I-shaped shop constraint condition, and the study room/bedroom brick laying design drawing of the study room/bedroom area is calculated according to the I-shaped shop constraint condition.
S440: when the non-guest restaurant area is a vacant area, judging whether the vacant area is adjacent to the guest restaurant area;
s441: if so, replacing the second preset constraint condition with the first preset constraint condition, and calculating a vacant tile laying design drawing of the vacant area according to the first preset constraint condition;
s442: if not, the second preset constraint condition is a wave-free routing constraint condition, and a free tile laying design drawing of the free area is calculated according to the wave-free routing constraint condition.
S450: and generating a second tile layout according to the kitchen and bathroom tile layout, the study/bedroom tile layout and the spare tile layout.
Illustratively, the non-passenger restaurant area is classified into a kitchen and toilet area, a study/bedroom area and a vacant area, and different constraint conditions are adopted according to the difference of the non-passenger restaurant area, so that an optimized tile layout in all places of the non-passenger restaurant area can be obtained.
In some embodiments, for kitchen and bathroom areas (including kitchen and toilet spaces), the optimization method of the wave-free routing constraint is directly adopted for calculation, and the brick size needs to be combined with the brick size of the restaurant area, and when the brick size of the restaurant area is square, the brick size of the kitchen and bathroom area needs to be in a size of one-to-four; when the brick size of the dining room area is rectangular, the brick size of the kitchen and bathroom area needs to adopt one-opening-two size. Meanwhile, the wall surface paving needs to be considered, when the wall surface paving is carried out, the influence of the outlines of windows, doors and pillars needs to be considered, the calculation is carried out respectively according to each outline surface, the wall and ground butt joint as much as possible is considered, and the combination optimization calculation is carried out according to the constraints.
In some embodiments, for a study/bedroom area (including a bedroom, a study and other spaces), an I-shaped paving scheme is directly adopted, wherein the I-shaped paving is that two floors are paved by staggering half of the long edge, and the constraint is mainly a paving starting point and the orientation of the long edge, namely whether the floor is rotated by 90 degrees or not, and the size of a brick is determined according to the brick paving scheme of each room according to the constraint; optionally, the first two optimized study/bedroom tile design plans are selected.
In some embodiments, the vacant areas (other spaces except the kitchen and toilet areas and the study/bedroom areas in the non-dining room area) are the same as the main brick in size, if the areas are adjacent to the dining room area, the joint is performed, if the areas are not adjacent, the combined optimization method is adopted, and the calculation is performed without wave routing constraint.
Illustratively, after solving the brick laying schemes of all the spaces of the whole house, the optimal scheme of each space is preferably selected for combination, and the brick laying schemes of the whole house are returned.
Referring to fig. 4, fig. 4 is a block diagram of a tile design generating apparatus according to an embodiment of the present application, where the tile design generating apparatus includes:
an obtaining module 100, configured to obtain a floor plan, where the floor plan includes a customer restaurant area and a non-customer restaurant area;
the partition module 200 is configured to input the restaurant area into a preset GAN network to obtain a functional partition of the restaurant area, where the functional partition includes one or more of a living room partition, a restaurant partition, a passage partition, a hallway partition, a sofa partition, and a background wall partition;
the first calculation module 300 is used for calculating a first tile design drawing of the functional partition according to a first preset constraint condition;
a second calculating module 400, configured to calculate a second tile layout of the non-customer restaurant area according to a second preset constraint condition;
and the first generating module 500 is used for generating a whole room space tile design drawing according to the first tile design drawing and the second tile design drawing.
Referring to fig. 5, fig. 5 is a block diagram of a generating apparatus of another tile design according to an embodiment of the present application.
Illustratively, the tile design generating device further comprises:
a training module 600, configured to input the house type plane training diagram into the GAN network model to obtain model parameters, where the model parameters include color labeling information of the functional partition, and the color labeling information represents a filling color of each partition in the functional partition;
a second generating module 700, configured to generate a preset GAN network according to the model parameter.
Referring to fig. 6, fig. 6 is a block diagram of a partition module according to an embodiment of the present disclosure.
Illustratively, the partition module 200 includes:
a separation unit 210, configured to input the restaurant area into a preset GAN network, and separate the restaurant area into areas with different colors;
an extracting unit 220, configured to extract regions with different colors and perform contour region constraint correction on the regions with different colors to obtain a functional region contour map;
and the partition unit 230 is used for obtaining the functional partitions of the customer service area according to the functional area outline drawing.
Referring to fig. 7, fig. 7 is a block diagram of a first computing module according to an embodiment of the present disclosure.
Illustratively, the first computing module 300 includes:
the iteration unit 310 is configured to iteratively input constraint parameters into a preset cost function to obtain a cost function value set, where the constraint parameters include one or more of a wave routing width, a wave routing layer number, a brick rotation angle, a brick size, and a starting and laying point position;
a first obtaining unit 320, configured to obtain a minimum cost function value according to the cost function value set;
a second obtaining unit 330, configured to obtain, according to the minimum cost function value, a limit value of the constraint parameter corresponding to the minimum cost function value;
and a third obtaining unit 340, configured to obtain the first tile design drawing of the functional partition according to the limit value of the constraint parameter.
Referring to fig. 8, fig. 8 is a block diagram of a second computing module according to the present disclosure.
Illustratively, the second computing module 400 includes:
a classification unit 410 for classifying the non-guest restaurant region into a kitchen and toilet region, a study/bedroom region, and a vacant region;
the first calculating unit 420 is used for calculating a kitchen and bathroom tile layout of a kitchen and bathroom area according to the wave-free routing constraint condition;
the second calculating unit 430 is configured to calculate a study/bedroom tile design drawing of the study/bedroom area according to the i-shaped constraint condition, where the second preset constraint condition is the i-shaped constraint condition when the non-guest dining room area is the study/bedroom area;
a third calculating unit 440, configured to determine whether the vacant area is adjacent to the restaurant area, if so, replace the second preset constraint condition with the first preset constraint condition, and calculate a vacant tile layout drawing of the vacant area according to the first preset constraint condition; if not, the second preset constraint condition is a wave-free routing constraint condition, and a free tile laying design drawing of the free area is calculated according to the wave-free routing constraint condition;
and the generating unit 450 is used for generating a second tile layout according to the kitchen and bathroom tile layout, the study/bedroom tile layout and the spare tile layout.
It should be understood that the generation apparatus of the tile design shown in fig. 4 to 8 corresponds to the generation method of the tile design shown in fig. 1 to 3, and is not described here again to avoid redundancy.
Fig. 9 shows a block diagram of an electronic device according to an embodiment of the present disclosure, where fig. 9 is a block diagram of the electronic device. The electronic device may include a processor 510, a communication interface 520, a memory 530, and at least one communication bus 540. Wherein the communication bus 540 is used for realizing direct connection communication of these components. In this embodiment, the communication interface 520 of the electronic device is used for performing signaling or data communication with other node devices. Processor 510 may be an integrated circuit chip having signal processing capabilities.
The Processor 510 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor 510 may be any conventional processor or the like.
The Memory 530 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Read Only Memory (EPROM), an electrically Erasable Read Only Memory (EEPROM), and the like. The memory 530 stores computer readable instructions, which when executed by the processor 510, enable the electronic device to perform the steps involved in the method embodiments of fig. 1-3 described above.
Optionally, the electronic device may further include a memory controller, an input output unit.
The memory 530, the memory controller, the processor 510, the peripheral interface, and the input/output unit are electrically connected to each other directly or indirectly, so as to implement data transmission or interaction. For example, these elements may be electrically coupled to each other via one or more communication buses 540. The processor 510 is used to execute executable modules stored in the memory 530, such as software functional modules or computer programs included in the electronic device.
The input and output unit is used for providing a task for a user to create and start an optional time period or preset execution time for the task creation so as to realize the interaction between the user and the server. The input/output unit may be, but is not limited to, a mouse, a keyboard, and the like.
It will be appreciated that the configuration shown in fig. 9 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 9 or have a different configuration than shown in fig. 9. The components shown in fig. 9 may be implemented in hardware, software, or a combination thereof.
The embodiment of the present application further provides a storage medium, where the storage medium stores instructions, and when the instructions are run on a computer, when the computer program is executed by a processor, the method in the method embodiment is implemented, and in order to avoid repetition, details are not repeated here.
The present application also provides a computer program product which, when run on a computer, causes the computer to perform the method of the method embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method of generating a tile design, comprising:
acquiring a house type plan, wherein the house type plan comprises a customer restaurant area and a non-customer restaurant area;
inputting the restaurant area into a preset GAN network to obtain function partitions of the restaurant area, wherein the function partitions comprise one or more of a living room partition, a restaurant partition, a passage partition, a hallway partition, a sofa partition and a background wall partition;
calculating a first tile design drawing of the functional partition according to a first preset constraint condition;
calculating a second tile layout of the non-passenger restaurant area according to a second preset constraint condition;
and generating a full room space tile design drawing according to the first tile design drawing and the second tile design drawing.
2. The method of generating a tile design according to claim 1, wherein prior to the step of entering the customer restaurant area into a predetermined GAN network to obtain the functional partition of the customer restaurant area, the method further comprises:
inputting the house type plane training diagram into a GAN network model to obtain model parameters, wherein the model parameters comprise color marking information of the functional subareas, and the color marking information represents filling colors of all subareas in the functional subareas;
and generating the preset GAN network according to the model parameters.
3. The method of generating a tile design according to claim 2, wherein said step of entering said customer restaurant section into a predetermined GAN network to obtain a functional partition of said customer restaurant section comprises:
inputting the customer restaurant area into a preset GAN network, and separating the customer restaurant area into areas with different colors;
extracting the areas with different colors and carrying out contour area constraint correction on the areas with different colors to obtain a functional area contour map;
and obtaining the functional subarea of the customer service restaurant area according to the functional area outline drawing.
4. The method of generating a tile design according to claim 1, wherein the first predetermined constraints comprise constraint parameters, and the step of calculating a first tile design drawing for the functional partition according to the first predetermined constraints comprises:
iteratively inputting the constraint parameters into a preset cost function to obtain a cost function value set, wherein the constraint parameters comprise one or more of wave routing width, wave routing layer number, brick rotation angle, brick size and paving starting point position;
obtaining a minimum cost function value according to the cost function value set;
obtaining a limit value of the constraint parameter corresponding to the minimum cost function value according to the minimum cost function value;
and obtaining a first tile layout of the functional partition according to the limit value of the constraint parameter.
5. The method of generating a tile design according to claim 1, wherein the step of calculating a second tile design drawing for the non-customer restaurant zone according to a second preset constraint comprises:
classifying the non-guest restaurant area into a kitchen and toilet area, a study/bedroom area and a vacant area;
when the non-passenger restaurant area is the kitchen and bathroom area, the second preset constraint condition is a wave-free routing constraint condition, and a kitchen and bathroom tile design drawing of the kitchen and bathroom area is calculated according to the wave-free routing constraint condition;
when the non-guest restaurant area is the study room/bedroom area, the second preset constraint condition is an I-shaped shop constraint condition, and a study room/bedroom brick laying design drawing of the study room/bedroom area is calculated according to the I-shaped shop constraint condition;
when the non-customer restaurant area is the vacant area, judging whether the vacant area is adjacent to the customer restaurant area, if so, replacing the second preset constraint condition with the first preset constraint condition, and calculating a vacant tile laying design drawing of the vacant area according to the first preset constraint condition; if not, the second preset constraint condition is the wave-free routing constraint condition, and a free tile laying design drawing of the free area is calculated according to the wave-free routing constraint condition;
and generating the second tile layout according to the kitchen and bathroom tile layout, the study/bedroom tile layout and the spare tile layout.
6. A tile design generating device, comprising:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring a house type plan, and the house type plan comprises a customer restaurant area and a non-customer restaurant area;
the partition module is used for inputting the restaurant area into a preset GAN network to obtain function partitions of the restaurant area, wherein the function partitions comprise one or more of a living room partition, a restaurant partition, a passage partition, a hallway partition, a sofa partition and a background wall partition;
the first calculation module is used for calculating a first tile layout of the functional partition according to a first preset constraint condition;
the second calculation module is used for calculating a second tile layout of the non-passenger restaurant area according to a second preset constraint condition;
and the first generation module is used for generating a whole room space tile design drawing according to the first tile design drawing and the second tile design drawing.
7. The tile design generation apparatus of claim 6, further comprising:
the training module is used for inputting the house type plane training diagram into the GAN network model to obtain model parameters, wherein the model parameters comprise color marking information of the functional subareas, and the color marking information represents filling colors of all subareas in the functional subareas;
and the second generation module is used for generating the preset GAN network according to the model parameters.
8. The tile design generation apparatus of claim 7, wherein the partitioning module comprises:
the separation unit is used for inputting the restaurant area into a preset GAN network and separating the restaurant area into areas with different colors;
the extraction unit is used for extracting the areas with different colors and carrying out contour area constraint correction on the areas with different colors to obtain a functional area contour map;
and the partition unit is used for obtaining the functional partitions of the customer restaurant area according to the functional area outline drawing.
9. An electronic device, comprising: memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method of generating a tile design according to any of claims 1 to 5 when executing the computer program.
10. A storage medium having stored thereon instructions which, when run on a computer, cause the computer to perform a method of generating a tile design according to any of claims 1 to 5.
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