CN112721173A - Model processing method and device, electronic equipment and computer readable storage medium - Google Patents
Model processing method and device, electronic equipment and computer readable storage medium Download PDFInfo
- Publication number
- CN112721173A CN112721173A CN202011485213.XA CN202011485213A CN112721173A CN 112721173 A CN112721173 A CN 112721173A CN 202011485213 A CN202011485213 A CN 202011485213A CN 112721173 A CN112721173 A CN 112721173A
- Authority
- CN
- China
- Prior art keywords
- model
- user
- scaling
- determining
- plane
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
- B29C64/30—Auxiliary operations or equipment
- B29C64/386—Data acquisition or data processing for additive manufacturing
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
- B29C64/30—Auxiliary operations or equipment
- B29C64/386—Data acquisition or data processing for additive manufacturing
- B29C64/393—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y50/00—Data acquisition or data processing for additive manufacturing
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y50/00—Data acquisition or data processing for additive manufacturing
- B33Y50/02—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04847—Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/048—Indexing scheme relating to G06F3/048
- G06F2203/04806—Zoom, i.e. interaction techniques or interactors for controlling the zooming operation
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Materials Engineering (AREA)
- Manufacturing & Machinery (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Optics & Photonics (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- General Physics & Mathematics (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The embodiment of the invention provides a model processing method, a model processing device, electronic equipment and a computer readable storage medium, wherein the method comprises the following steps: determining a target processing area and an adaptive processing area of a model to be processed based on user operation, wherein the user operation comprises user specification of a division plane; determining processing parameters of the target processing area, and carrying out scaling operation on the target processing area to complete processing on the model to be processed; the processing of the model to be processed comprises a scaling operation of a target processing area and a translation processing of an adaptive processing area corresponding to the scaling operation, or the processing of the model to be processed comprises a scaling operation of the target processing area and a translation processing of the adaptive processing area and the target processing area corresponding to the scaling operation, or the processing of the model to be processed only comprises a scaling operation of the target processing area. The embodiment of the invention can solve the problem of large workload of the scaling mode of the existing model.
Description
Technical Field
The present invention relates to the field of 3D printing technologies, and in particular, to a model processing method and apparatus, an electronic device, and a computer-readable storage medium.
Background
3D printing is a rapid prototyping technique, also known as additive manufacturing, which is a technique that builds objects by using bondable materials such as powdered metal or plastic and printing layer by layer based on digital model files. Before a model is printed with a 3D printer, the digital model file needs to be processed by the slicing software to get a sliced file of layers available for printing. For example, when the size of the model is to be adjusted, the model is also adjusted by slicing software, and slicing is performed after the adjustment.
Now, if two or more printed models need to be adapted for use, usually when a model is resized on a slicing software, it is often necessary to also perform resizing matching on other models adapted to the model to ensure the adaptability between the resized models, which results in a large workload when a user processes the models using the slicing software.
Disclosure of Invention
The embodiment of the invention provides a model processing method and device, electronic equipment and a computer readable storage medium, which are used for solving the problem of large workload of a user when the conventional slicing software processes the size of a digital model.
In a first aspect, an embodiment of the present invention provides a method for scaling a model, including:
the determining the processing parameter of the target processing region and performing a scaling operation on the target processing region includes:
obtaining a scaling coefficient input by a user, or obtaining a scaling target parameter input by the user, and determining the scaling coefficient based on the scaling target parameter and the target processing region, wherein the scaling target parameter is used for indicating a quantization value of the target processing region after the scaling operation is performed;
determining a scaling direction based on the dividing plane, the scaling direction being perpendicular to the dividing plane;
and carrying out scaling operation on the target processing area based on the scaling coefficient and the scaling direction.
Optionally, the determining the processing parameter of the target processing region and performing a scaling operation on the target processing region includes:
obtaining a scaling coefficient input by a user, or obtaining a scaling target parameter input by the user, and determining the scaling coefficient based on the scaling target parameter and the target processing region, wherein the scaling target parameter is used for indicating a quantization value of the target processing region after the scaling operation is performed;
determining a scaling direction based on the dividing plane, the scaling direction being perpendicular to the dividing plane;
and carrying out scaling operation on the target processing area based on the scaling coefficient and the scaling direction.
Optionally, the number of the division planes is two, and the determining the target processing region and the adaptive processing region of the model to be processed based on the user operation includes:
determining a first partition plane of a model to be processed based on a first operation of a user, wherein the first operation designates the partition plane for the user;
determining a second division plane of the model to be processed based on a second operation of a user, wherein the first division plane is parallel to the second division plane, and the second operation comprises a user input parameter or a user-specified division plane;
determining a region between the first dividing plane and the second dividing plane as a target processing region, and determining a region except the target processing region in the model to be processed as an adaptive processing region.
Optionally, the second operation is a user input parameter, and the determining a second partition plane of the model to be processed based on the second operation includes:
acquiring a designated numerical value input by a user, and determining a second division plane of the model to be processed based on the designated numerical value and the first division plane; wherein the specified numerical value is used to indicate a distance between the first dividing plane and the second dividing plane, and a direction of the second dividing plane with respect to the first dividing plane.
Optionally, the number of the division planes is one, and the determining the target processing region and the adaptive processing region of the model to be processed based on the user operation includes:
determining a first partition plane of a model to be processed based on a first operation of a user, wherein the first operation designates the partition plane for the user;
determining a target processing area of the model to be processed based on a third operation of a user and the first division plane, wherein the third operation designates the direction of the first division plane for the user;
and determining the region except the target processing region in the model to be processed as an adaptive processing region.
In a second aspect, an embodiment of the present invention further provides a device for processing a model, including:
the device comprises a determining module, a judging module and a processing module, wherein the determining module is used for determining a target processing area and an adaptive processing area of a model to be processed based on user operation, and the user operation comprises a division plane designated by a user;
the processing module is used for determining processing parameters of the target processing area and carrying out scaling operation on the target processing area so as to finish the processing of the model to be processed;
wherein, the processing of the model to be processed includes a scaling operation of the target processing region and a translation processing of the adaptive processing region corresponding to the scaling operation, or the processing of the model to be processed includes a scaling operation of the target processing region and a translation processing of the adaptive processing region and the target processing region corresponding to the scaling operation, or the processing of the model to be processed only includes a scaling operation of the target processing region.
Optionally, the processing module is further configured to:
obtaining a scaling coefficient input by a user, or obtaining a scaling target parameter input by the user, and determining the scaling coefficient based on the scaling target parameter and the target processing region, wherein the scaling target parameter is used for indicating a quantization value of the target processing region after the scaling operation is performed;
determining a scaling direction based on the dividing plane, the scaling direction being perpendicular to the dividing plane;
and carrying out scaling operation on the target processing area based on the scaling coefficient and the scaling direction.
Optionally, the number of the division planes is two, and the determining module is further configured to:
determining a first division plane of the model to be processed based on a first operation of a user; wherein the first operation designates a division plane for a user;
determining a second division plane of the model to be processed based on a second operation of a user, wherein the first division plane is parallel to the second division plane, and the second operation comprises a user input parameter or a user-specified division plane;
determining a region between the first dividing plane and the second dividing plane as a target processing region, and determining a region except the target processing region in the model to be processed as an adaptive processing region.
Optionally, the second operation is a user input parameter, and the determining module is further configured to:
acquiring a designated numerical value input by a user, and determining a second division plane of the model to be processed based on the designated numerical value and the first division plane; wherein the specified numerical value is used to indicate a distance between the first dividing plane and the second dividing plane, and a direction of the second dividing plane with respect to the first dividing plane.
Optionally, the number of the division planes is one, and the determining module is further configured to:
determining a first partition plane of a model to be processed based on a first operation of a user, wherein the first operation designates the partition plane for the user;
determining a target processing area of the model to be processed based on a third operation of a user and the first division plane, wherein the third operation designates the direction of the first division plane for the user;
and determining the region except the target processing region in the model to be processed as an adaptive processing region.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a processor, a memory, and a computer program stored on the memory and executable on the processor, and when executed by the processor, the computer program implements the steps of the model processing method described in the first aspect.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for processing the model in the first aspect are implemented.
In the embodiment of the invention, a model to be processed is divided into a target processing area and an adaptive processing area based on the selection of a user, and after processing parameters of the target processing area are determined, the target processing area is subjected to scaling operation to complete the processing of the model to be processed. By the mode, only the scaling operation of the target processing area in the model to be processed needs to be executed, the local scaling of the model to be processed can be realized, the model to be processed does not need to be scaled integrally, the model to be processed can still be adapted to other models through the non-scaled adaptation processing area, the scaling operation of other models is not needed while the adaptability of the model to be processed to other models is ensured, and compared with the prior art that two or more than two adapted models need to be scaled simultaneously, the scheme provided by the invention reduces the workload of model size adjustment.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention 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 that other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a flow chart of a method for processing a model according to an embodiment of the present invention;
FIG. 1a is one of the schematic views of a scenario of a model processing method according to an embodiment of the present invention;
FIG. 1b is a second schematic view of a scenario in which the model processing method provided by the embodiment of the present invention is applied;
FIG. 1c is a third view of a scenario of a model processing method according to an embodiment of the present invention;
FIG. 1d is a fourth view of a scenario of a model processing method according to an embodiment of the present invention;
FIG. 1e is a fifth scenario diagram illustrating a model processing method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a model processing apparatus according to an embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "comprises," "comprising," or any other variation thereof, in the description and claims of this application, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Furthermore, the use of "and/or" in the specification and claims means that at least one of the connected objects, such as a and/or B, means that three cases, a alone, B alone, and both a and B, exist.
In the embodiments of the present invention, words such as "exemplary" or "for example" are used to mean serving as examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
Referring to fig. 1, fig. 1 is a flowchart of a model processing method according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
The model to be processed may be a 3D model in 3D printing, or may be another model, which is not limited to this. The model processing method provided by the embodiment of the present invention may be applied to electronic devices, such as a notebook computer, a tablet computer, a desktop computer, a mobile phone, and the like, and is not particularly limited.
In the embodiment of the invention, the electronic equipment can divide the model to be processed according to the user request or the user setting. For example, assuming that the model to be processed is a model of a knife, and the user only decides to adjust the shank portion of the model of the knife, in the method, the electronic device divides the shank portion of the model of the knife into the target processing region and the other portions of the model of the knife into the adaptive processing regions based on the user operation.
The method provided by the embodiment of the invention is applied to the electronic equipment, and the electronic equipment can receive the operation acted on the model image by a user under the condition of displaying the model image of the model to be processed so as to determine at least one division plane. Also taking the model of the knife as an example, for example, a display interface of the electronic device displays a model image of the knife, and the user may designate at least one dividing plane on the model image through an input device such as a mouse, for example, a dividing plane is designated at a knife handle in the model image, or may designate one dividing plane at each of two ends of the knife handle, so as to divide the knife handle into a target processing area, and the other part in the model image of the knife is also an adaptive processing area.
In an optional embodiment of the present invention, assuming that the number of the division planes is two, the step 101 may include the following steps:
determining a first division plane of the model to be processed based on a first operation of a user;
determining a second division plane of the model to be processed based on a second operation of a user, wherein the first division plane is parallel to the second division plane, and the second operation comprises a user input parameter or a user-specified division plane;
determining a region between the first dividing plane and the second dividing plane as a target processing region, and determining a region except the target processing region in the model to be processed as an adaptive processing region.
In this embodiment, the first operation may be an input operation that a user acts on the electronic apparatus. Referring to fig. 1a, a display interface of an electronic device may be a model image displaying a model to be processed as shown in fig. 1a, a user may specify a position a on the model image through an input device such as a mouse, the electronic device automatically divides a first division plane Pa including the position a, and the user may drag the division plane Pa through the mouse to adjust a direction of the division plane Pa; further, the electronic device may determine the second division plane of the model image based on a second operation of the user, for example, the user may also designate a position B on the model image by a mouse, and the electronic device automatically divides a second division plane Pb including the position B at the position B, and the second division plane Pb is parallel to the first division plane Pa, so that the region between Pa and Pb is determined as the target processing region a based on the two division planes designated by the user operation, and the regions other than the target processing region in the model image are also the adaptation processing regions, such as the first adaptation processing region B1 and the second adaptation processing region B2 shown in fig. 1 a.
Therefore, a user can intuitively and conveniently designate two division planes through the model image of the model to be processed displayed on the electronic equipment so as to determine the target processing area to be zoomed, and the determination of the target processing area is more flexible and convenient.
Alternatively, after the first division plane is determined, the second division plane may also be determined based on input parameters input by the user. Optionally, the determining a second partition plane of the model to be processed based on a second operation of the user may include:
acquiring a designated numerical value input by a user, and determining a second division plane of the model to be processed based on the designated numerical value and the first division plane; wherein the specified numerical value is used to indicate a distance between the first dividing plane and the second dividing plane, and a direction of the second dividing plane with respect to the first dividing plane.
It is to be understood that, after determining the first division plane of the model to be processed based on the first operation of the user, the user may input a designated value to determine the second division plane. For example, after the first division plane is determined, assuming that the first division plane is a plane parallel to the horizontal plane, the model image of the model to be processed displayed by the electronic device is in units of cm, and if the input specified value is 3, it may be determined that the second division plane is 3cm away from the first division plane and is located above the first division plane; if the designated value is-3, the second division plane is 3cm away from the first division plane and is located below the first division plane. It should be noted that, the upper and lower portions are only exemplary, in some possible scenarios, the positive and negative of the second numerical value may also refer to left and right, right and left, lower, and the like, and the present invention is not limited in particular.
In this way, in the case where the first division plane is determined, the electronic apparatus may determine the distance between the second division plane and the first division plane by the numerical value of the designated numerical value input by the user, and determine the position of the second division plane with respect to the first division plane by the plus or minus of the designated numerical value. Therefore, the target processing area needing to be zoomed can be determined by determining the two division planes, the target processing area can be determined more accurately by inputting the second numerical value, and the determination mode of the target processing area is more flexible and diversified.
Optionally, the number of the dividing planes may also be one, in which case, the step 101 may include the following steps:
determining a first partition plane of a model to be processed based on a first operation of a user, wherein the first operation designates the partition plane for the user;
determining a target processing area of the model to be processed based on a third operation of a user and the first division plane, wherein the third operation designates the direction of the first division plane for the user;
and determining the region except the target processing region in the model to be processed as an adaptive processing region.
In this embodiment, the first operation may be an input operation that a user acts on the electronic apparatus. As shown in fig. 1b, the display interface of the electronic device may be a model image showing the model to be processed as shown in fig. 1b, the user may specify a certain position on the model image through an input device such as a mouse, and the electronic device automatically divides a first dividing plane Pa including the certain position; further, the user specifies the direction of the first division plane Pa through a third operation, for example, the user may drag the first division plane Pa through a mouse to adjust the direction of the first division plane Pa, which is adjusted to be parallel to the horizontal plane as shown in fig. 1B, and determine an area a located above the first division plane Pa as a target processing area, and then determine an area B of the model to be processed, which is other than the target processing area, as an adaptive processing area. Therefore, the user can designate a dividing plane to divide the model to be processed into the target processing area and the adaptive processing area, the operation is simpler and more convenient, the model to be processed can be divided into the target processing area and the adaptive processing area according to different conditions, and the user operation is more flexible.
Optionally, the number of the division planes may also be three or more, and the division of the three or more division planes may also be determined by referring to the above manner. For example, a first division plane of the model to be processed is determined based on a first operation of a user, a second division plane is determined based on a second operation of the user, such as an operation of the user specifying the division plane, a region between the first division plane and the second division plane is determined as a target processing region, a third division plane and a fourth division plane are specified above the first division plane based on a third operation of the user, for example, the region between the third division plane and the fourth division plane is determined as a target processing region, and a region other than the target processing region is determined as an adaptive processing region. In this embodiment of the application, the electronic device divides the to-be-processed model into the target processing region and the adaptive processing region based on an operation of a user specifying a division plane, where the number and the specific implementation manner of the division planes may refer to the above description, which is not listed here.
And 102, determining processing parameters of the target processing area, and performing scaling operation on the target processing area to complete processing on the model to be processed.
It should be noted that the processing parameter may be a scaling factor and a scaling direction including the target processing region. For example, the electronic device may receive a zoom factor and a designated zoom direction input by a user to perform a zoom operation on the target processing region.
Optionally, the step 102 may include:
acquiring a scaling coefficient input by a user; or acquiring a scaling target parameter input by a user, and determining the scaling coefficient based on the scaling target parameter and the target processing region, wherein the scaling target parameter is used for indicating a quantization value of the target processing region after the scaling operation is performed;
determining a scaling direction based on the dividing plane, the scaling direction being perpendicular to the dividing plane;
and carrying out scaling operation on the target processing area based on the scaling coefficient and the scaling direction.
In one embodiment, the user may directly input the scaling factor of the target processing region. For example, the electronic device may determine, based on the foregoing manner, a first division plane and a second division plane of the model to be processed, and further determine that the target processing area is an area between the first division plane and the second division plane; if the zoom factor obtained by the electronic equipment and input by the user is 0.5, performing operation of zooming out the target processing area by 0.5 time in a direction vertical to the first division plane and the second division plane.
Alternatively, in another embodiment, the electronic device may further determine the scaling factor of the target processing region based on a scaling target parameter input by a user. For example, the electronic device determines a first division plane and a second division plane of the model to be processed, and then can obtain a distance between the first division plane and the second division plane, assuming that the distance is 5, if a scaling target parameter input by a user is 2.5, that is, after a scaling operation is performed on a target processing area, the distance between the first division plane and the second division plane is 2.5, that is, a quantization value of the target processing area after the scaling operation is performed is 2.5, and then can calculate a scaling coefficient of the target processing area to be 0.5, and then perform an operation of scaling the target processing area by 0.5 times in a direction perpendicular to the first division plane and the second division plane.
For better understanding, referring to fig. 1a, the electronic device determines the first dividing plane Pa and the second dividing plane Pb based on the selection of the user, and thus can determine that the scaling direction of the target processing area a is a direction perpendicular to the first dividing plane Pa and the second dividing plane Pb (i.e. the longitudinal direction of the target processing area), and if the scaling factor obtained by the user input is 0.5, the electronic device reduces the target processing area a by 0.5 times in the longitudinal direction, without changing the lateral scale of the target processing area a, so that the size of the target processing area a in the lateral direction can still match with the adaptive processing areas B1 and B2. Therefore, the local scaling of the model to be processed is realized, namely, only the size of the local area of the model to be processed is adjusted, but the size of the adaptive processing area is not changed, so that the model to be processed can still be adapted to other models through the adaptive processing area.
In this embodiment of the present invention, the processing of the to-be-processed model includes a scaling operation of the target processing region and a translation processing of the adaptive processing region corresponding to the scaling operation, or the processing of the to-be-processed model includes a scaling operation of the target processing region and a translation processing of the adaptive processing region and the target processing region corresponding to the scaling operation, or the processing of the to-be-processed model only includes a scaling operation of the target processing region.
It is to be understood that the number of the division planes is at least one, and the number of the target processing regions may be one, two, or more. The electronic device may process the model to be processed in different ways according to the number of target processing areas.
Optionally, in a case that the number of the division planes is one, the processing of the model to be processed only includes a scaling operation of the target processing region;
under the condition that the number of the division planes is two, the processing of the model to be processed comprises the zooming operation of the target processing area and the translation processing of the adaptive processing area corresponding to the zooming operation;
and under the condition that the number of the division planes is at least three, the processing of the model to be processed comprises the scaling operation of the target processing area and the translation processing of the adaptive processing area and the target processing area corresponding to the scaling operation.
For example, in an embodiment, the number of the dividing planes is one, and the model to be processed is divided into the target processing region and the adaptive processing region by one dividing plane, then the processing of the model to be processed may only include a scaling operation on the target processing region, and the adaptive processing region may not perform any processing.
Referring to fig. 1B, the electronic device determines a division plane Pa based on a selection of a user, where the division plane Pa divides a model to be processed into a target processing area a and an adaptation processing area B, as shown in fig. 1B, the target processing area a is located above the adaptation processing area B, after obtaining a scaling factor of 0.5 input by the user, the electronic device reduces the target processing area a to half of the original processing area in a direction perpendicular to the division plane Pa, the target processing area a may be reduced in a direction close to the division plane Pa, and the adaptation processing area B does not need to be translated, and the processing of the model to be processed only includes a scaling operation of the target processing area a.
Or, for the model to be processed shown in fig. 1B, after the model to be processed is divided into the target processing area and the adaptation processing area by one dividing plane Pa, after the electronic device obtains the scaling factor 0.5 input by the user, the electronic device may also reduce the target processing area to half in the direction perpendicular to the dividing plane Pa, where the scaling operation of the target processing area a is scaling in the direction close to the center thereof, in this case, the electronic device further includes a translation operation that the adaptation processing area B executes following the scaling of the target processing area a, and the processing of the model to be processed also includes the scaling operation of the target processing area a and the translation processing of the adaptation processing area B corresponding to the scaling operation.
In another embodiment, the number of the division planes is two, in which case, the processing of the model to be processed includes a scaling operation of the target processing region and a translation processing of the adaptive processing region corresponding to the scaling operation.
Referring to fig. 1c, the electronic device determines a first division plane Pa and a second division plane Pb based on a selection of a user, the model to be processed includes a target processing region a located between the first division plane Pa and the second division plane Pb, a first adaptation processing region B1 located below the first division plane Pa, and a second adaptation processing region B2 located above the second division plane Pb, after obtaining a scaling factor of 0.5 input by the user, the electronic device reduces the target processing region a to half in a direction perpendicular to the first division plane Pa, and performs a translation process corresponding to the scaling operation on the first adaptation processing region B1 and the second adaptation processing region B2 if the scaling operation of the target processing region a is to scale toward a direction close to a center thereof; or, if the scaling operation of the target processing region a is scaling in a direction approaching the first division plane Pa, then the panning process corresponding to the scaling operation is performed on the second adaptive processing region B2; alternatively, the scaling operation of the target processing region a is scaling in a direction approaching the second division plane Pb, and then the panning process corresponding to the scaling operation is performed on the first adaptive processing region B1.
In another embodiment, the number of the division planes is at least three, and the number of the target processing areas is at least two, in which case, the processing of the model to be processed includes a scaling operation of the target processing area and a translation processing of the adaptive processing area and the target processing area corresponding to the scaling operation.
Referring to fig. 1d, the electronic device determines a first division plane Pa, a second division plane Pb, and a third division plane Pc based on the selection of the user, and the model to be processed includes a first adaptive processing region B1 located below the first division plane Pa, a first target processing region a1 located between the first division plane Pa and the second division plane Pb, a second adaptive processing region B2 located between the second division plane Pb and the third division plane Pc, and a second target processing region a2 located above the third division plane Pc; after obtaining the scaling factor 0.5 input by the user, the electronic device reduces the first target processing region a1 and the second target processing region a2 to half of the original size in the direction perpendicular to the dividing plane Pa, for example, if the first target processing region a1 is scaled in the direction close to the first dividing plane Pa and the second target processing region a2 is scaled in the direction close to the third dividing plane Pc, then the electronic device performs translation processing corresponding to the scaling operation on the second adaptive processing region B2 and the second target processing region a 2; the scaling operation and the translation processing of the target processing region and the adaptive processing region in the model to be processed may also be in other execution forms, which are not listed here. It should be noted that this embodiment is also applicable to-be-processed models in which the number of the partition planes is greater than three and the number of the target processing areas is greater than three, and for avoiding redundancy, this is not specifically recited in the embodiment of the present invention.
To better understand the technical solution provided by the embodiment of the present invention, please refer to fig. 1e, where fig. 1e is a schematic view of an assembly scenario of a model S1 and a model S2 provided by the embodiment of the present invention, and the model S1 needs to be embedded into a hole a of the model S2. Because the model S1 is too long, the model S1 cannot be completely embedded into the hole a of the model S2, so that the model S1 is scaled, and it is ensured that the scaled model S1 can be adapted to the hole a of the model S2, the target processing region a of the model S1 is locally scaled by using the model processing method provided in the embodiment of the present invention, and the specific processing method may refer to the specific description in the above embodiment, and then only the local region of the model S1 is scaled, so that the size of the model S1 is reduced, and it is ensured that the model S1 can still be adapted to the hole a of the model S2, so as to complete the assembly. Compared with the prior art that the scaling of the model can only realize integral scaling, the two models need to be scaled synchronously in order to adapt the two assembled models, the scheme provided by the invention can be used for locally scaling the models, the scaling of the two assembled models is not needed, the workload in the scaling of the models is reduced, and the adaptability of the scaled models on assembly is ensured.
According to the scheme provided by the embodiment of the invention, the model to be processed is divided into the target processing area and the adaptive processing area, and the target processing area is subjected to scaling operation after the processing parameters of the target processing area are determined, so that the processing of the model to be processed is completed. By the mode, only the scaling operation of the target processing area in the model to be processed needs to be executed, the local scaling of the model to be processed can be realized, the model to be processed does not need to be scaled integrally, the model to be processed can still be adapted to other models through the non-scaled adaptation processing area, the scaling operation of other models is not needed while the adaptability of the model to be processed to other models is ensured, and compared with the prior art that two or more than two adapted models need to be scaled simultaneously, the scheme provided by the invention reduces the workload of model scaling.
Referring to fig. 2, fig. 2 is a diagram illustrating a model processing apparatus according to an embodiment of the present invention. As shown in fig. 2, the model processing apparatus 200 includes:
a determining module 201, configured to determine a target processing region and an adaptive processing region of a to-be-processed model based on a user operation, where the user operation includes a user-specified division plane;
a processing module 202, configured to determine a processing parameter of the target processing region, and perform a scaling operation on the target processing region to complete processing on the to-be-processed model;
wherein, the processing of the model to be processed includes a scaling operation of the target processing region and a translation processing of the adaptive processing region corresponding to the scaling operation, or the processing of the model to be processed includes a scaling operation of the target processing region and a translation processing of the adaptive processing region and the target processing region corresponding to the scaling operation, or the processing of the model to be processed only includes a scaling operation of the target processing region.
Optionally, the processing module 202 is further configured to:
obtaining a scaling coefficient input by a user, or obtaining a scaling target parameter input by the user, and determining the scaling coefficient based on the scaling target parameter and the target processing region, wherein the scaling target parameter is used for indicating a quantization value of the target processing region after the scaling operation is performed;
determining a scaling direction based on the dividing plane, the scaling direction being perpendicular to the dividing plane;
and carrying out scaling operation on the target processing area based on the scaling coefficient and the scaling direction.
Optionally, the number of the division planes is two, and the determining module 201 is further configured to:
determining a first division plane of the model to be processed based on a first operation of a user; wherein the first operation designates a division plane for a user;
determining a second division plane of the model to be processed based on a second operation of a user, wherein the first division plane is parallel to the second division plane, and the second operation comprises a user input parameter or a user-specified division plane;
determining a region between the first dividing plane and the second dividing plane as a target processing region, and determining a region except the target processing region in the model to be processed as an adaptive processing region.
Optionally, the second operation is a user input parameter, and the determining module 201 is further configured to:
acquiring a designated numerical value input by a user, and determining a second division plane of the model to be processed based on the designated numerical value and the first division plane; wherein the specified numerical value is used to indicate a distance between the first dividing plane and the second dividing plane, and a direction of the second dividing plane with respect to the first dividing plane.
Optionally, the number of the division planes is one, and the determining module 201 is further configured to:
determining a first partition plane of a model to be processed based on a first operation of a user, wherein the first operation designates the partition plane for the user;
determining a target processing area of the model to be processed based on a third operation of a user and the first division plane, wherein the third operation designates the direction of the first division plane for the user;
and determining the region except the target processing region in the model to be processed as an adaptive processing region. .
It should be noted that the processing apparatus 200 of the model according to the embodiment of the present invention can implement each process in the above-mentioned embodiment of the processing method of the model, and can achieve the same technical effect, and for avoiding repetition, details are not described here again.
The processing apparatus 200 for a model provided in the embodiment of the present invention divides a model to be processed into a target processing region and an adaptive processing region, and performs scaling operation on the target processing region after determining processing parameters of the target processing region, so as to complete processing on the model to be processed. By the mode, only the scaling operation of the target processing area in the model to be processed needs to be executed, the local scaling of the model to be processed can be realized, the model to be processed does not need to be scaled integrally, the model to be processed can still be adapted to other models through the non-scaled adaptation processing area, the scaling operation of other models is not needed while the adaptability of the model to be processed to other models is ensured, and compared with the prior art that two or more than two adapted models need to be scaled simultaneously, the scheme provided by the invention reduces the workload of model size adjustment.
Referring to fig. 3, fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, an electronic device 300 includes a processor 301, a memory 302, and a computer program stored in the memory 302 and capable of running on the processor 301.
Wherein the computer program when executed by the processor 301 implements the steps of:
determining a target processing area and an adaptive processing area of a model to be processed based on user operation, wherein the user operation comprises user specification of a division plane;
determining processing parameters of the target processing area, and carrying out scaling operation on the target processing area to complete processing on the model to be processed;
wherein, the processing of the model to be processed includes a scaling operation of the target processing region and a translation processing of the adaptive processing region corresponding to the scaling operation, or the processing of the model to be processed includes a scaling operation of the target processing region and a translation processing of the adaptive processing region and the target processing region corresponding to the scaling operation, or the processing of the model to be processed only includes a scaling operation of the target processing region.
Optionally, the computer program, when executed by the processor 301, further implements the following steps:
obtaining a scaling coefficient input by a user, or obtaining a scaling target parameter input by the user, and determining the scaling coefficient based on the scaling target parameter and the target processing region, wherein the scaling target parameter is used for indicating a quantization value of the target processing region after the scaling operation is performed;
determining a scaling direction based on the dividing plane, the scaling direction being perpendicular to the dividing plane;
and carrying out scaling operation on the target processing area based on the scaling coefficient and the scaling direction.
Optionally, the number of the division planes is two, and the computer program, when executed by the processor 301, further implements the following steps:
determining a first partition plane of a model to be processed based on a first operation of a user, wherein the first operation designates the partition plane for the user;
determining a second division plane of the model to be processed based on a second operation of a user, wherein the first division plane is parallel to the second division plane, and the second operation comprises a user input parameter or a user-specified division plane;
determining a region between the first dividing plane and the second dividing plane as a target processing region, and determining a region except the target processing region in the model to be processed as an adaptive processing region.
Optionally, the second operation is a user input parameter, and the computer program, when executed by the processor 301, further implements the following steps:
acquiring a designated numerical value input by a user, and determining a second division plane of the model to be processed based on the designated numerical value and the first division plane; wherein the specified numerical value is used to indicate a distance between the first dividing plane and the second dividing plane, and a direction of the second dividing plane with respect to the first dividing plane.
Optionally, the number of the division planes is one, and the computer program, when executed by the processor 301, further implements the following steps:
determining a first partition plane of a model to be processed based on a first operation of a user, wherein the first operation designates the partition plane for the user;
determining a target processing area of the model to be processed based on a third operation of a user and the first division plane, wherein the third operation designates the direction of the first division plane for the user;
and determining the region except the target processing region in the model to be processed as an adaptive processing region.
The electronic device provided by the embodiment of the present invention can implement each process implemented by the electronic device in the above-mentioned model processing method embodiments, and can achieve the same beneficial effects, and for avoiding repetition, the details are not repeated here.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the model processing method provided in the embodiment of the present invention can be implemented, and the same technical effects can be achieved.
It should be noted that, in this document, 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 like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (12)
1. A method of model processing, comprising:
determining a target processing area and an adaptive processing area of a model to be processed based on user operation, wherein the user operation comprises user specification of a division plane;
determining processing parameters of the target processing area, and carrying out scaling operation on the target processing area to complete processing on the model to be processed;
wherein, the processing of the model to be processed includes a scaling operation of the target processing region and a translation processing of the adaptive processing region corresponding to the scaling operation, or the processing of the model to be processed includes a scaling operation of the target processing region and a translation processing of the adaptive processing region and the target processing region corresponding to the scaling operation, or the processing of the model to be processed only includes a scaling operation of the target processing region.
2. The method of claim 1, wherein determining the processing parameter of the target processing region, performing a scaling operation on the target processing region comprises:
obtaining a scaling coefficient input by a user, or obtaining a scaling target parameter input by the user, and determining the scaling coefficient based on the scaling target parameter and the target processing region, wherein the scaling target parameter is used for indicating a quantization value of the target processing region after the scaling operation is performed;
determining a scaling direction based on the dividing plane, the scaling direction being perpendicular to the dividing plane;
and carrying out scaling operation on the target processing area based on the scaling coefficient and the scaling direction.
3. The method of claim 1, wherein the number of the division planes is two, and wherein the determining the target processing region and the adaptive processing region of the model to be processed based on the user operation comprises:
determining a first partition plane of a model to be processed based on a first operation of a user, wherein the first operation designates the partition plane for the user;
determining a second division plane of the model to be processed based on a second operation of a user, wherein the first division plane is parallel to the second division plane, and the second operation comprises a user input parameter or a user-specified division plane;
determining a region between the first dividing plane and the second dividing plane as a target processing region, and determining a region except the target processing region in the model to be processed as an adaptive processing region.
4. The method of claim 3, wherein the second operation is a user input parameter, and wherein determining the second partition plane of the model to be processed based on the second operation of the user comprises:
acquiring a designated numerical value input by a user, and determining a second division plane of the model to be processed based on the designated numerical value and the first division plane; wherein the specified numerical value is used to indicate a distance between the first dividing plane and the second dividing plane, and a direction of the second dividing plane with respect to the first dividing plane.
5. The method according to claim 1, wherein the number of the division planes is one, and the determining the target processing region and the adaptive processing region of the model to be processed based on the user operation comprises:
determining a first partition plane of a model to be processed based on a first operation of a user, wherein the first operation designates the partition plane for the user;
determining a target processing area of the model to be processed based on a third operation of a user and the first division plane, wherein the third operation designates the direction of the first division plane for the user;
and determining the region except the target processing region in the model to be processed as an adaptive processing region.
6. An apparatus for processing a model, comprising:
the device comprises a determining module, a judging module and a processing module, wherein the determining module is used for determining a target processing area and an adaptive processing area of a model to be processed based on user operation, and the user operation comprises a division plane designated by a user;
the processing module is used for determining processing parameters of the target processing area and carrying out scaling operation on the target processing area so as to finish the processing of the model to be processed;
wherein, the processing of the model to be processed includes a scaling operation of the target processing region and a translation processing of the adaptive processing region corresponding to the scaling operation, or the processing of the model to be processed includes a scaling operation of the target processing region and a translation processing of the adaptive processing region and the target processing region corresponding to the scaling operation, or the processing of the model to be processed only includes a scaling operation of the target processing region.
7. The apparatus of claim 6, wherein the processing module is further configured to:
obtaining a scaling coefficient input by a user, or obtaining a scaling target parameter input by the user, and determining the scaling coefficient based on the scaling target parameter and the target processing region, wherein the scaling target parameter is used for indicating a quantization value of the target processing region after the scaling operation is performed;
determining a scaling direction based on the dividing plane, the scaling direction being perpendicular to the dividing plane;
and carrying out scaling operation on the target processing area based on the scaling coefficient and the scaling direction.
8. The apparatus of claim 6, wherein the number of the division planes is two, and wherein the determining module is further configured to:
determining a first division plane of the model to be processed based on a first operation of a user; wherein the first operation designates a division plane for a user;
determining a second division plane of the model to be processed based on a second operation of a user, wherein the first division plane is parallel to the second division plane, and the second operation comprises a user input parameter or a user-specified division plane;
determining a region between the first dividing plane and the second dividing plane as a target processing region, and determining a region except the target processing region in the model to be processed as an adaptive processing region.
9. The apparatus of claim 8, wherein the second operation is a user input parameter, and wherein the determining module is further configured to:
acquiring a designated numerical value input by a user, and determining a second division plane of the model to be processed based on the designated numerical value and the first division plane; wherein the specified numerical value is used to indicate a distance between the first dividing plane and the second dividing plane, and a direction of the second dividing plane with respect to the first dividing plane.
10. The apparatus of claim 6, wherein the number of the division planes is one, and wherein the determining module is further configured to:
determining a first partition plane of a model to be processed based on a first operation of a user, wherein the first operation designates the partition plane for the user;
determining a target processing area of the model to be processed based on a third operation of a user and the first division plane, wherein the third operation designates the direction of the first division plane for the user;
and determining the region except the target processing region in the model to be processed as an adaptive processing region.
11. An electronic device, characterized in that it comprises a processor, a memory and a computer program stored on said memory and executable on said processor, said computer program, when executed by said processor, implementing the steps of the processing method of the model according to any one of claims 1 to 5.
12. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the method of processing a model according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011485213.XA CN112721173A (en) | 2020-12-16 | 2020-12-16 | Model processing method and device, electronic equipment and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011485213.XA CN112721173A (en) | 2020-12-16 | 2020-12-16 | Model processing method and device, electronic equipment and computer readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112721173A true CN112721173A (en) | 2021-04-30 |
Family
ID=75602755
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011485213.XA Pending CN112721173A (en) | 2020-12-16 | 2020-12-16 | Model processing method and device, electronic equipment and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112721173A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114494653A (en) * | 2021-12-29 | 2022-05-13 | 北京城市网邻信息技术有限公司 | Model scaling method and device in virtual space |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104463873A (en) * | 2014-12-10 | 2015-03-25 | 西安电子科技大学 | Image target repositioning method based on local uniform scaling |
| US20180348736A1 (en) * | 2017-06-05 | 2018-12-06 | United Technologies Corporation | Library of predefined shapes for additive manufacturing processes |
| CN110852943A (en) * | 2018-08-21 | 2020-02-28 | 北京市商汤科技开发有限公司 | Image processing method and apparatus, image processing device, and storage medium |
| CN111324250A (en) * | 2020-01-22 | 2020-06-23 | 腾讯科技（深圳）有限公司 | Three-dimensional image adjusting method, device and equipment and readable storage medium |
-
2020
- 2020-12-16 CN CN202011485213.XA patent/CN112721173A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104463873A (en) * | 2014-12-10 | 2015-03-25 | 西安电子科技大学 | Image target repositioning method based on local uniform scaling |
| US20180348736A1 (en) * | 2017-06-05 | 2018-12-06 | United Technologies Corporation | Library of predefined shapes for additive manufacturing processes |
| CN110852943A (en) * | 2018-08-21 | 2020-02-28 | 北京市商汤科技开发有限公司 | Image processing method and apparatus, image processing device, and storage medium |
| CN111324250A (en) * | 2020-01-22 | 2020-06-23 | 腾讯科技（深圳）有限公司 | Three-dimensional image adjusting method, device and equipment and readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 龚昌奇: "《船体结构与制图（第2版）》", 30 June 2013, 国防工业出版社 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114494653A (en) * | 2021-12-29 | 2022-05-13 | 北京城市网邻信息技术有限公司 | Model scaling method and device in virtual space |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101990089B1 (en) | Method for creating for thumbnail and image an electronic device thereof | |
| US8135240B2 (en) | Image searching device, method and recording medium | |
| WO2019201042A1 (en) | Image object recognition method and device, storage medium, and electronic device | |
| CN109618210B (en) | Video picture adjusting method and device, computer equipment and readable storage medium | |
| CN106296760B (en) | Picture clipping method and device | |
| CN110827301B (en) | Method and apparatus for processing image | |
| CN105930052B (en) | A kind of screenshot method and device | |
| CN112721173A (en) | Model processing method and device, electronic equipment and computer readable storage medium | |
| CN115205925A (en) | Expression coefficient determining method and device, electronic equipment and storage medium | |
| CN110851987B (en) | Method, apparatus and storage medium for predicting calculated duration based on acceleration ratio | |
| WO2022170895A1 (en) | Image processing method and device | |
| CN111461965B (en) | Picture processing method and device, electronic equipment and computer readable medium | |
| US9075494B2 (en) | Systems and methods for performing object selection | |
| CN113850239B (en) | Multi-document detection method and device, electronic equipment and storage medium | |
| CN111241891A (en) | Face image cutting method and device and computer readable storage medium | |
| CN115665347A (en) | Video clipping method and device, electronic equipment and storage medium | |
| CN112783382B (en) | Method, device, terminal and storage medium for setting document icons | |
| JP2007272403A (en) | Cad device and cad method | |
| CN111597476B (en) | Image processing method and device | |
| CN107577398B (en) | Interface animation control method, equipment and storage medium | |
| CN114549830A (en) | Picture acquisition method and device, electronic equipment and computer storage medium | |
| CN112241598A (en) | Furniture-based supplier selection method and related device | |
| CN112882775A (en) | Method and device for self-adaptive adjustment of page template | |
| CN114546204B (en) | Window management method, computing device and readable storage medium | |
| CN116468825B (en) | Curve shearing method, curve shearing device, curve shearing equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |