CN117762305A - Page interaction method and device based on intelligent drawing, electronic equipment and medium - Google Patents

Abstract

The embodiment of the invention discloses a page interaction method and device based on intelligent drawing and electronic equipment. One embodiment of the method comprises the following steps: responsive to detecting a selection operation on the creative laboratory control, displaying a creative laboratory page on the intelligent drawing homepage; in response to detecting a selection operation acting on the character model reload control, displaying a character model reload page in the creative laboratory page; in response to detecting a selection operation of a character model image acting in the character model image selection frame, a selection operation of at least one model garment component acting in the model garment component retention frame, a selection operation of a character image acting in the character image selection frame, a selection operation of a scene acting in the scene selection frame, and a selection operation of a model transformation control, a transformed character model image is generated. According to the embodiment, the character model can be replaced through simple page interaction, and intelligent drawing can be rapidly performed.

Description

Page interaction method and device based on intelligent drawing, electronic equipment and medium

Technical Field

The embodiment of the disclosure relates to the technical field of computers, in particular to a page interaction method, device, electronic equipment and medium based on intelligent drawing.

Background

In the fields of painting/drawing/image modification, etc., image processing is generally required by using a specialized image processing tool. In addition, the user is required to have a rich expertise.

However, when painting/drawing/image processing is performed by a professional image processing tool, there are generally the following technical problems:

firstly, a professional image processing tool is complex in operation, has high requirements on users, and cannot rapidly conduct intelligent drawing;

secondly, when the character model image is changed, the replacement of part of clothing components is difficult to achieve, and the operation is complicated;

in addition, the existing image processing tool is difficult to automatically generate a layout according to a scene and a still image, and the usability of the image processing tool is reduced.

The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, may contain information that does not form the prior art that is already known to those of ordinary skill in the art in this country.

Disclosure of Invention

The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose a page interaction method, apparatus, electronic device, and computer-readable medium based on intelligent drawing to solve one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide a page interaction method based on intelligent drawing, the method including: responsive to detecting a selection operation acting on an intelligent drawing application icon, displaying an intelligent drawing homepage, wherein the intelligent drawing homepage displays a plugin management control, a gallery management control, an advanced option control and a creative laboratory control; in response to detecting a selection operation acting on the plugin management control, displaying a plugin management page on the intelligent drawing homepage, wherein the plugin management page displays a plugin browsing control, a plugin list, and plugin state display controls and plugin search boxes corresponding to each plugin; in response to detecting a selection operation acting on the gallery management control, displaying a gallery management page on the intelligent drawing homepage, wherein the gallery management page displays a gallery overview frame, an uploading picture control and an image preview detail control; responding to the detection of the selection operation acting on the advanced option control, and displaying an advanced option page on the intelligent drawing homepage, wherein the advanced option page displays a display card setting control, a network acceleration control, a non-start update control and a custom start command control; responsive to detecting a selection operation acting on the creative laboratory control, displaying a creative laboratory page on the intelligent drawing homepage, wherein the creative laboratory page displays a character model reloading control, a static layout control and a network product interface control; in response to detecting a selection operation acting on the character model reloading control, displaying a character model reloading page in the creative laboratory page, wherein the character model reloading page displays a character model image selection frame, a model clothing component retaining frame, a character image selection frame, a scene selection frame, a model transformation control and an image saving control; generating a transformed character model image in response to detecting a selection operation of a character model image in the character model image selection frame, a selection operation of at least one model clothing component in the model clothing component retention frame, a selection operation of a character image in the character image selection frame, a selection operation of a scene in the scene selection frame, and a selection operation of the model transformation control; and in response to detecting the selection of the image save control, storing the transformed character model image in a local database.

In a second aspect, some embodiments of the present disclosure provide a smart drawing-based page interaction apparatus, the apparatus including: a first display unit configured to display an intelligent drawing homepage in response to detection of a selection operation acting on an intelligent drawing application icon, wherein the intelligent drawing homepage displays a plugin management control, a gallery management control, an advanced option control and a creative laboratory control; the second display unit is configured to respond to detection of selection operation acting on the plugin management control, and display a plugin management page on the intelligent drawing homepage, wherein the plugin management page displays a plugin browsing control, a plugin list, and plugin state display controls and plugin search boxes corresponding to each plugin; a third display unit configured to display a gallery management page on the intelligent drawing homepage in response to detection of a selection operation acting on the gallery management control, wherein the gallery management page displays a gallery overview frame, an uploading picture control and an image preview detail control; a fourth display unit configured to display an advanced option page on the intelligent drawing homepage in response to detection of a selection operation acting on the advanced option control, wherein the advanced option page displays a graphic card setting control, a network acceleration control, a non-start update control and a custom start command control; a fifth display unit configured to display a creative laboratory page on the intelligent drawing homepage in response to detection of a selection operation acting on the creative laboratory control, wherein the creative laboratory page displays a character model reload control, a still layout control, and a web product interface control; a sixth display unit configured to display a character model reloading page in the creative laboratory page in response to detection of a selection operation acting on the character model reloading control, wherein the character model reloading page displays a character model image selection frame, a model clothing component retention frame, a character image selection frame, a scene selection frame, a model transformation control, and an image saving control; a generation unit configured to generate a transformed character model image in response to detection of a selection operation for a character model image in the character model image selection frame, a selection operation for at least one model clothing component in the model clothing component retention frame, a selection operation for a character image in the character image selection frame, a selection operation for a scene in the scene selection frame, and a selection operation for the model transformation control; and a storage unit configured to store the transformed character model image in a local database in response to detecting a selection operation of the image save control.

In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.

In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.

The above embodiments of the present disclosure have the following advantageous effects: through the page interaction method based on intelligent drawing of some embodiments of the present disclosure, operation steps are simplified, and intelligent drawing can be performed rapidly. Specifically, the reason why intelligent drawing cannot be performed quickly is that: professional image processing instrument, complex operation, it is higher to the user's requirement, can't carry out intelligent drawing fast. Based on this, the page interaction method based on the intelligent drawing of some embodiments of the present disclosure first displays an intelligent drawing homepage in response to detecting a selection operation acting on an intelligent drawing application icon. The intelligent drawing homepage displays a plugin management control, a gallery management control, an advanced option control and a creative laboratory control. Therefore, intelligent drawing can be performed through the controls such as the plugin management control, the gallery management control, the advanced option control, the creative laboratory control and the like. And secondly, in response to detecting the selection operation on the plugin management control, displaying a plugin management page on the intelligent drawing homepage. The plug-in management page displays a plug-in browsing control, a plug-in list, a plug-in state display control corresponding to each plug-in and a plug-in search box. Then, in response to detecting a selection operation acting on the gallery management control, a gallery management page is displayed on the intelligent drawing homepage. The gallery management page displays a gallery overview frame, an uploading picture control and an image preview detail control. Thus, various pictures and files can be viewed on the gallery management page. Then, in response to detecting a selection operation acting on the advanced option control, an advanced option page is displayed on the intelligent drawing homepage. The advanced option page displays a display card setting control, a network acceleration control, a non-startup update control and a custom startup command control. Thus, the application can be configured. Then, responsive to detecting a selection operation acting on the creative laboratory control, a creative laboratory page is displayed on the intelligent drawing homepage. The creative laboratory page displays character model reloading controls, static layout controls and network product interface controls. Thus, each still map can be laid out through the creative laboratory page. Then, in response to detecting a selection operation on the character model reload control, a character model reload page is displayed in the creative laboratory page. The character model reloading page displays a character model image selection frame, a model clothing component retaining frame, a character image selection frame, a scene selection frame, a model transformation control and an image storage control. Thus, the character model can be intelligently reloaded through the character model reloading page. Finally, generating a transformed character model image in response to detecting a selection operation of a character model image in the character model image selection frame, a selection operation of at least one model clothing component in the model clothing component retention frame, a selection operation of a character image in the character image selection frame, a selection operation of a scene in the scene selection frame, and a selection operation of the model transformation control; and in response to detecting the selection of the image save control, storing the transformed character model image in a local database. Therefore, the character model can be replaced through simple page interaction, the operation steps are simplified, and intelligent drawing can be rapidly performed.

Drawings

The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.

FIG. 1 is a flow chart of some embodiments of a smart drawing-based page interaction method according to the present disclosure;

FIG. 2 is a schematic structural diagram of some embodiments of a smart drawing-based page interaction device according to the present disclosure;

fig. 3 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

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

FIG. 1 is a flow chart of some embodiments of a smart drawing-based page interaction method according to the present disclosure. A flow 100 of some embodiments of a smart drawing-based page interaction method according to the present disclosure is shown. The page interaction method based on intelligent drawing comprises the following steps:

In response to detecting a selection operation on the smart drawing application icon, a smart drawing home page is displayed 101.

In some embodiments, an executing body (e.g., a computing device) of the smart drawing based page interaction method may display a smart drawing home page in response to detecting a selection operation acting on a smart drawing application icon. The intelligent drawing homepage displays a plugin management control, a gallery management control, an advanced option control and a creative laboratory control. The smart drawing application icon may be a link icon indicating the smart drawing application, i.e., after clicking the smart drawing application icon, a homepage (smart drawing homepage) indicating the smart drawing application may be jumped. The plugin management control may be a link control pointing to the plugin management page, i.e. after clicking on the plugin management control, it may jump to the plugin management page. The gallery management control may be a link control to the gallery management page, i.e., after clicking on the gallery management control, a jump may be made to the gallery management page. The advanced options control may be a link control pointing to an advanced options page, i.e., after clicking on the advanced options control, a jump may be made to the advanced options page. The creative laboratory control may be a link control pointing to the creative laboratory page, i.e., after clicking on the creative laboratory control, a jump may be made to the creative laboratory page. The selection operation may represent a click operation. The execution subject of the intelligent drawing-based page interaction method may be a computing device having a display screen.

As an example, after the user clicks the smart drawing application icon through the mouse, a smart drawing homepage may be displayed in the display screen of the current execution subject.

It should be noted that the intelligent drawing homepage further includes a central content area and an auxiliary tool area. Wherein the central content area includes: a main visual display page and a terminal display page. The main visual presentation page presents a background picture associated with the title. The terminal display page will display all logs of program execution. The auxiliary tool area displays bulletin board, quick function area, operation button and bottom information. Wherein, the bulletin board contains the relevant notice and prompt information of the user; the quick function area comprises four tool icons, namely one-key deployment, fault feedback, free courses and joining communities; the operation button may represent a one-touch start button to start a function or operation of the WebUI according to a current state or setting of the user. The bottom information displays the version information of the current software and is connected with a background updating mechanism, so that the user is ensured to use the latest version.

And 102, in response to detecting the selection operation on the plugin management control, displaying a plugin management page on the intelligent drawing homepage.

In some embodiments, the execution body may display a plugin management page on the intelligent drawing homepage in response to detecting a selection operation acting on the plugin management control. The plug-in management page displays a plug-in browsing control, a plug-in list, a plug-in state display control corresponding to each plug-in and a plug-in search box. The plug-in browsing control may be a link control pointing to a plug-in browsing page, i.e. after clicking on the plug-in browsing control, the individual plug-ins that have been installed are displayed. The plug-in list includes individual plug-ins that have been installed and uninstalled. The plug-in status display control may be a display that indicates whether the plug-in is enabled. The plug-in search box can search the related plug-in names or plug-in functions and install the required plug-ins.

It should be noted that, after clicking the plugin management control, the plugin management page may be displayed on the above-mentioned intelligent drawing homepage in a floating/embedded manner.

And step 103, in response to detecting the selection operation on the gallery management control, displaying a gallery management page on the intelligent drawing homepage.

In some embodiments, the executing entity may display a gallery management page on the intelligent drawing homepage in response to detecting a selection operation acting on the gallery management control. The gallery management page displays a gallery overview frame, an uploading picture control and an image preview detail control. The gallery overview box may be used to view all images or media files. For example, the gallery overview box contains thumbnails of all images or media files, and after clicking on the thumbnail, the user may display the enlarged image or media file. The upload picture control may be a control for uploading a picture, i.e., after clicking the picture control, a picture may be selected for uploading. The image preview detail control may refer to a preview detail control corresponding to an image or a media file, that is, after clicking on the image preview detail control, the detail information of the image or the media file may be viewed.

It should be noted that, after clicking the gallery management control, the gallery management page may be displayed on the intelligent drawing homepage in a floating/embedded manner.

And 104, in response to detecting the selection operation on the advanced option control, displaying an advanced option page on the intelligent drawing homepage.

In some embodiments, the executing body may display an advanced option page on the smart drawing homepage in response to detecting a selection operation acting on the advanced option control. The advanced option page displays a display card setting control, a network acceleration control, a non-startup update control and a custom startup command control. The graphic card setting control may refer to a control for graphic card setting, that is, after clicking the graphic card setting control, the graphic card may be switched. The network acceleration control may be a control that performs network acceleration on the current application, i.e., after clicking the network acceleration control, the network speed of the current application may be increased. The not-to-launch update control may be a control that allows a user to select whether to check for software updates at launch, i.e., clicking on the not-to-launch update control indicates that checking for software updates at launch is not allowed. The custom launch command control may be a control for a user to custom configure launch commands, i.e., after clicking on the custom launch command control, the commands or parameters entered by the user are saved into a configuration file or database and applied at program launch.

It should be noted that, after clicking the advanced option control, the advanced option page may be displayed on the above-mentioned intelligent drawing homepage in a floating/embedded manner.

In response to detecting a selection operation on the creative laboratory control, a creative laboratory page is displayed on the intelligent drawing homepage, step 105.

In some embodiments, the executing entity may display a creative laboratory page on the intelligent drawing homepage in response to detecting a selection operation on the creative laboratory control. The creative laboratory page displays character model reloading controls, static layout controls and network product interface controls. Character model reload controls may be link controls that point to a character model reload page, i.e., after clicking on the character model reload control, a jump may be made to the character model reload page. The character model reloading page can be used for replacing the clothing of the character model. The still layout control may be a control pointing to a still layout page, i.e., after clicking on the still layout control, may jump to the still layout page. The still layout page may be used to layout individual stills to form a still layout diagram. The web product interface control may be a link control pointing to the web product interface, i.e., after clicking on the web product interface control, a jump may be made to the web product interface. And the picture editing processing operations such as text generation, picture processing, picture reverse pushing prompt words, picture generation setting, plug-in setting and the like can be completed on the network product interface.

It should be noted that, after clicking on the creative laboratory control, the creative laboratory page may be displayed on the intelligent drawing homepage as described above.

And step 106, in response to detecting the selection operation on the character model reloading control, displaying a character model reloading page in the creative laboratory page.

In some embodiments, the executing entity may display a character model reload page in the creative laboratory page in response to detecting a selection operation on the character model reload control. The character model reloading page displays a character model image selection frame, a model clothing component retaining frame, a character image selection frame, a scene selection frame, a model transformation control and an image storage control. The character model image selection frame may be a selection frame in which a plurality of character model images are built. I.e., the user may select a character model image of the garment to be replaced in the character model image selection box. The model clothing component retention frame may be used to select clothing components in the original character model image that need to be retained. The personal image selection frame may be a selection frame for selecting a new personal image. The scene selection box may be used to select the background (scene) of the image. The model transformation control can be used for changing the character model, namely, after clicking each selection frame, the character model image is automatically constructed according to the selected character image, clothing components and scenes. The image save control may save the transformed character model image. Model garment components may refer to the individual components that make up the garment. For example, model garment components may include, but are not limited to: cuffs, left-hand sleeves, right-hand sleeves, collars, and the like.

After clicking on the character model reloading control, the character model reloading page may be displayed on the creative laboratory page.

And step 107, generating a transformed character model image in response to detecting a selection operation of a character model image in the character model image selection frame, a selection operation of at least one model clothing component in the model clothing component retention frame, a selection operation of a character image in the character image selection frame, a selection operation of a scene in the scene selection frame, and a selection operation of the model transformation control.

In some embodiments, the executing entity may generate the transformed character model image in response to detecting a selection operation of the character model image in the character model image selection frame, a selection operation of at least one model clothing component in the model clothing component retention frame, a selection operation of the character image in the character image selection frame, a selection operation of the scene in the scene selection frame, and a selection operation of the model transformation control. That is, the user can select a character model image to be replaced in the character model image selection frame, select at least one of the model clothing components to be held in the model clothing component holding frame, select a new character image in the character image selection frame, and select a scene in the scene selection frame.

In practice, the executing subject may generate a transformed character model image:

and a first step of determining the component description information corresponding to each model clothing component in the at least one model clothing component to obtain at least one component description information. Wherein the at least one model clothing component is a clothing component in the selected character model image. The component description information may include: information such as clothing component name, component color, etc.

And secondly, inputting the selected character model image and the at least one piece of component description information into a feature extraction network included in the pre-trained image segmentation model to obtain character model image features and at least one piece of component description feature information. Wherein, the image segmentation model further comprises: the multi-mode feature fusion network and the mode feature filtering processing network. The image segmentation model may be a pre-trained network model for generating segmentation information corresponding to the character model image. For example, the image segmentation model may be a CNN (Convolutional Neural Networks) model. The feature extraction network may be a network that performs feature extraction on the character model image and the component description information. For example, the feature extraction network may be a fusion network model of a Bert pre-training model and a multi-layer convolutional neural network. Character model image features may represent feature maps characterizing the character model image after feature extraction processing. One piece of component description characteristic information corresponds to one piece of component description information. The component-descriptive feature information may be a vector characterizing the component-descriptive information after the feature extraction process.

And thirdly, inputting the character model image characteristics and at least one piece of component description characteristic information into the multi-mode characteristic fusion network to obtain multi-mode image characteristics corresponding to the character model image. The multimodal image features may represent fused features of the character model image features and the at least one component descriptive feature information. The multimodal feature fusion network may be a network layer that fuses the character model image with the at least one component description information. The multimodal feature fusion network may map the character model image and the at least one component descriptive information to a same feature dimension.

In practice, the third step may comprise the following sub-steps:

the first substep inputs the character model image features into an image cue mapping network layer in the multimodal feature fusion network to obtain character model image cue features corresponding to the character model image features. Character model image cue features may refer to features that are mapped to character model image features. The image clue mapping can map character model image characteristics and component description query characteristic information to the same dimension, and fusion processing is carried out on the character model image characteristics and the component description query characteristic information. For example, the image cue map network layer may refer to a first fully connected layer in a multimodal feature fusion network.

And a second sub-step of merging the at least one piece of component-descriptive feature information into component-descriptive feature fusion information.

And a third sub-step of inputting the component description feature fusion information into a feature information query mapping network layer of the multi-mode feature fusion network to obtain component description query feature information corresponding to the component description feature fusion information. The component description query feature information may map feature information of the processed component description feature fusion information. The characteristic information query mapping may map the character model image characteristic and the component description query characteristic information to the same dimension, and perform fusion processing on the character model image characteristic and the component description query characteristic information. For example, the feature information query mapping network layer may be a second fully connected layer in a multimodal feature fusion network.

And a fourth sub-step, carrying out fusion processing on the character model image clue characteristics and the component description query characteristic information to obtain multi-mode image characteristics. And performing dot multiplication operation on the character model image clue characteristics and the component description query characteristic information to obtain multi-mode image characteristics.

And step four, inputting the character model image characteristics and the multi-modal image characteristics into the modal characteristic filtering processing network to obtain filtered multi-modal characteristic information. The modal feature filtering network may be a network that performs feature filtering on the character model image features and the multi-modal image features. For example, the modal feature filtering processing network may be a convolutional network layer for feature filtering.

In practice, the fourth step may comprise the following sub-steps:

the first substep inputs the character model image features into the character model image query mapping network layer of the modal feature filtering processing network to obtain character model image query features.

And a second sub-step, converting the multi-mode image features to obtain multi-mode converted image features.

And a third sub-step, filtering the multi-mode conversion image features according to the character model image query features to obtain filtered multi-mode feature information.

And fifthly, generating image segmentation information corresponding to the character model image according to the multi-mode fusion characteristics in response to determining that the multi-mode fusion characteristics meet a first preset characteristic condition. The multi-modal fusion feature is a fusion feature of the character model image feature and the filtering multi-modal feature information. The first preset feature condition may be: the feature dimension corresponding to the multi-mode fusion feature is smaller than the preset feature dimension. For example, the predetermined feature dimension may be 80×80×20. The image segmentation information may be a segmentation result of at least one model clothing component in the character model image. For example, the image segmentation information may be bounding box information of at least one model garment component in the character model image.

In practice, the fifth step may comprise the following sub-steps:

and a first sub-step of inputting the multi-mode fusion characteristic into a decoding network included in the image segmentation model to obtain an image decoding characteristic. The image decoding features described above may characterize respective feature maps of a plurality of channels corresponding to the multimodal fusion features. The decoding network may perform upsampling processing on the multimodal fusion feature, and then convolve the result obtained by the upsampling processing. For example, the decoding network may be a convolutional neural network that decodes the multimodal fusion feature.

And a second sub-step of determining the image decoding feature as image segmentation information corresponding to the character model image in response to determining that the image decoding feature satisfies a second preset feature condition. The second preset feature condition may be that a feature dimension corresponding to the image decoding feature is greater than a preset dimension value. For example, the preset dimension value may be 360×360×60.

And sixth, generating a transformed character model image according to the image segmentation information, the selected character image and the scene. For example, first, individual model clothing components in a bounding box of image segmentation information may be extracted. Then, the scene can be rendered in a canvas background, each extracted model clothing component is attached to the selected character image, and the selected character image is added to the rendered canvas, so that a transformed character model image is obtained.

The related matters in the first step to the sixth step are taken as an invention point of the present disclosure, and the second technical problem mentioned in the background art is solved, that replacement of part of clothing components is difficult to achieve, and the operation is complicated. ". The replacement of part of the clothing components is difficult to achieve, and the factors of complicated operation are often as follows: when the character model image is changed, the part of the clothing components are difficult to change, and the operation is complicated. If the above factors are solved, the effect of replacing part of the clothing components can be achieved. To achieve this, first, component description information corresponding to each of the at least one model garment component is determined, and at least one component description information is obtained. Wherein the at least one model clothing component is a clothing component in the selected character model image. Thereby, a retained garment component may be selected. And secondly, inputting the selected character model image and the at least one part description information into a feature extraction network included in the pre-trained image segmentation model to obtain character model image features and at least one part description feature information. Wherein, the image segmentation model further comprises: the multi-mode feature fusion network and the mode feature filtering processing network. Thereby facilitating extraction of the features of the retained garment component. And inputting the character model image characteristics and at least one piece of component description characteristic information into the multi-mode characteristic fusion network to obtain multi-mode image characteristics corresponding to the character model image. Therefore, the fusion characteristic of the whole image and the part description information to be reserved is convenient to obtain. And then inputting the character model image characteristics and the multi-modal image characteristics into the modal characteristic filtering processing network to obtain filtered multi-modal characteristic information. Thus, the multimodal image features may be filtered through the character model image features, thereby filtering features of the multimodal image features that are not related to the selected garment component. And then, in response to determining that the multi-modal fusion feature meets a first preset feature condition, generating image segmentation information corresponding to the character model image according to the multi-modal fusion feature. The multi-modal fusion feature is a fusion feature of the character model image feature and the filtering multi-modal feature information. Thus, multi-modal image segmentation information corresponding to the at least one model garment component can be obtained. Finally, a transformed character model image is generated based on the image segmentation information, the selected character image, and the scene. Thereby, it is facilitated to extract at least one model garment component for replacement of a part of the garment component. And, the user only needs to select the reserved/replaced clothing components, and the application can automatically generate the changed character model image.

And step 108, in response to detecting the selection operation of the image preservation control, storing the transformed character model image in a local database.

In some embodiments, the executing entity may store the transformed character model image in a local database in response to detecting a selection of the image save control. That is, after clicking on the image save control, the executing entity may store the transformed character model image in a local database.

Optionally, in response to detecting a selection operation acting on the still layout control, displaying a still layout page in the creative laboratory page.

In some embodiments, the execution body may display a still layout page in the creative laboratory page in response to detecting a selection operation on the still layout control. The static layout page displays a static diagram selection frame, a static display platform selection frame and a layout confirmation control. The still picture selection box may be used to select individual still pictures to be laid out. The still stand selection box may be used to select a stand for each still to be laid out. The layout confirmation control is used to confirm the layout, i.e., after clicking the layout confirmation control, a still layout diagram is generated.

It should be noted that, after clicking the still layout control, the still layout page may be displayed on the creative laboratory page as described above.

Optionally, in response to detecting a selection operation acting on at least one still image in the still image selection frame, a selection operation acting on any still display stand in the still display stand selection frame, and a selection operation acting on the layout confirmation control, generating a still layout schematic corresponding to the at least one still image.

In some embodiments, the executing body may generate the still layout schematic corresponding to the at least one still image in response to detecting a selection operation on the at least one still image in the still image selection box, a selection operation on any one of the still display boxes, and a selection operation on the layout confirmation control. For example, the selected at least one still map may be laid out in the selected still display stand according to built-in still layout logic to generate a still layout schematic. For example, still placement logic may be that the A-still is placed to the left of the B-still, and the C-still is not at the same level as the A-still and the B-still.

The above-mentioned related matters serve as an invention point of the present disclosure, solving the third technical problem mentioned in the background art, which reduces usability of the image processing tool. ". Factors that reduce the usability of the image processing tool tend to be as follows: the conventional image processing tool is difficult to automatically generate a layout diagram according to a scene and a still image. If the above factors are solved, an effect of improving usability of the image processing tool can be achieved. To achieve this, first, in response to detecting a selection operation acting on the still layout control, a still layout page is displayed in the creative laboratory page. The static layout page displays a static diagram selection frame, a static display platform selection frame and a layout confirmation control. Therefore, the still picture and the still display platform to be laid out can be selected through the still picture selection frame and the still display platform selection frame. And then, generating a still layout schematic corresponding to at least one still image in response to detecting a selection operation of the at least one still image in the still image selection frame, a selection operation of any still display stand in the still display stand selection frame and a selection operation of the layout confirmation control. Thus, the at least one still image and the still display stand can be automatically laid out through the built-in still layout logic. Thus, the usability of the image processing tool is improved.

Optionally, in response to detecting a selection operation acting on the web product interface control, displaying a web product interface in the creative laboratory page.

In some embodiments, the executive may display a web product interface in the creative laboratory page in response to detecting a selection operation on the web product interface control. The web product interface displays a page jump control, a page refreshing control and a picture generating control. The page jump control may point to the intelligent drawing homepage, i.e., after clicking the page jump control, the current page jump points to the intelligent drawing homepage. The page refresh control may be a control that refreshes the current page, i.e., after clicking the page refresh control described above, the current page may be refreshed.

It should be noted that, after clicking the web product interface control, the web product interface may be displayed on the creative laboratory page by being displayed on the display screen.

Optionally, in response to detecting that the intelligent drawing application test task is executed on the test terminal, acquiring application content data displayed on a current screen on the test terminal.

In some embodiments, the executing body may obtain the application content data displayed on the current screen of the test terminal in response to detecting that the intelligent drawing application test task is executed on the test terminal. The intelligent drawing application test task is used for indicating to test target page data in the intelligent drawing application. The test terminal may refer to a terminal for testing. For example, the test terminal may be referred to as a cell phone. The intelligent drawing application test task can be used for indicating to test target page data in the intelligent drawing application. The target page data may be data of any interaction page in the smart drawing application. For example, the interaction page may include, but is not limited to: plug-in management page, gallery management page, advanced options page, creative laboratory page. And acquiring the application content data displayed on the current screen of the test terminal in a screen capturing mode.

Optionally, according to the intelligent drawing application test task, the application content data is detected to determine whether the test terminal is running the target page data.

In some embodiments, the executing body may detect the application content data according to the intelligent drawing application test task, so as to determine whether the test terminal is running the target page data. The application test tasks may include: service identification of application content data.

It should be noted that, in the application page, generally includes: text information, image information. The feature information may typically be preset for detection of application content data before application testing is performed. The feature information may include: text information and/or feature images, etc. And determining whether the application content data contains the characteristic information. Thus, it is determined whether the test terminal is running the target page data. And if the target page data is included, the test terminal runs the target page data.

Optionally, in response to determining that the test terminal is running the target page data, continuing to execute the application test task.

In some embodiments, the execution body may continue to execute the application test task in response to determining that the test terminal is running the target page data.

Optionally, in response to determining that the test terminal is not running the target page data, suspending executing the application test task.

In some embodiments, the execution body may suspend execution of the application test task in response to determining that the test terminal is not running the target page data.

Optionally, based on the application test task, controlling the test terminal to perform page skip so as to skip to the target page pointed by the target page data.

In some embodiments, the execution body may control the test terminal to perform a page jump based on the application test task, so as to jump to a target page pointed by the target page data. The smart drawing application configures a jump link of the open app (open program or application) protocol. When creating the application test task, an application identification of the APP to be tested may be specified on the Open APP link. The application test task can be configured with the jump connection of the page indicated by the target page data in the intelligent drawing application to be tested. Therefore, by testing the third party application on the terminal, the jump link of the application protocol can be started to jump the application page.

Optionally, in response to determining that the target page jump is completed, controlling the test terminal to continue to execute the application test task.

In some embodiments, the executing body may control the test terminal to continue to execute the application test task in response to determining that the target page jump is completed.

Therefore, the intelligent drawing application can be tested to ensure the fluency of each page in the intelligent drawing application.

With further reference to fig. 2, as an implementation of the method illustrated in the above figures, the present disclosure provides some embodiments of an intelligent drawing-based page interaction device, which correspond to those illustrated in fig. 1, and which are particularly applicable to various electronic devices.

As shown in fig. 2, the smart drawing-based page interaction device 200 of some embodiments includes: a first display unit 201, a second display unit 202, a third display unit 203, a fourth display unit 204, a fifth display unit 205, a sixth display unit 206, a generation unit 207, and a storage unit 208. Wherein the first display unit 201 is configured to display an intelligent drawing homepage in response to detecting a selection operation acting on an intelligent drawing application icon, wherein the intelligent drawing homepage displays a plugin management control, a gallery management control, an advanced option control and a creative laboratory control; a second display unit 202 configured to display a plugin management page on the intelligent drawing homepage in response to detection of a selection operation acting on the plugin management control, wherein the plugin management page displays a plugin browsing control, a plugin list, a plugin status display control corresponding to each plugin, and a plugin search box; a third display unit 203 configured to display a gallery management page on the intelligent drawing homepage in response to detection of a selection operation acting on the gallery management control, wherein the gallery management page displays a gallery overview frame, an upload picture control, and an image preview detail control; a fourth display unit 204 configured to display an advanced option page on the intelligent drawing homepage in response to detecting a selection operation acting on the advanced option control, wherein the advanced option page displays a graphic card setting control, a network acceleration control, a non-start update control, and a custom start command control; a fifth display unit 205 configured to display a creative laboratory page on the intelligent drawing homepage in response to detection of a selection operation acting on the creative laboratory control, wherein the creative laboratory page displays a character model reload control, a still layout control, and a web product interface control; a sixth display unit 206 configured to display a character model reloading page in the creative laboratory page in response to detection of a selection operation on the character model reloading control, wherein the character model reloading page displays a character model image selection frame, a model clothing component retention frame, a character image selection frame, a scene selection frame, a model transformation control, an image saving control; a generating unit 207 configured to generate a transformed character model image in response to detection of a selection operation for a character model image in the character model image selection frame, a selection operation for at least one model clothing component in the model clothing component retention frame, a selection operation for a character image in the character image selection frame, a selection operation for a scene in the scene selection frame, and a selection operation for the model transformation control; a storage unit 208 is configured to store the transformed character model image in a local database in response to detecting a selection operation of the image save control.

It will be appreciated that the elements recited in the intelligent drawing-based page interaction device 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and advantages described above with respect to the method are equally applicable to the intelligent drawing-based page interaction device 200 and the units contained therein, and are not described herein.

Referring now to fig. 3, a schematic diagram of an electronic device (e.g., computing device) 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic devices in some embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and the like, as well as stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.

As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM303, various programs and task data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM302, and the RAM303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.

In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 308 including, for example, magnetic tape, hard disk, etc.; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange task data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 3 may represent one device or a plurality of devices as needed.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 309, or from storage device 308, or from ROM 302. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing means 301.

It should be noted that, the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a task data signal that propagates in baseband or as part of a carrier wave, in which computer-readable program code is carried. Such a propagated signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital task data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.

The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: responsive to detecting a selection operation acting on an intelligent drawing application icon, displaying an intelligent drawing homepage, wherein the intelligent drawing homepage displays a plugin management control, a gallery management control, an advanced option control and a creative laboratory control; in response to detecting a selection operation acting on the plugin management control, displaying a plugin management page on the intelligent drawing homepage, wherein the plugin management page displays a plugin browsing control, a plugin list, and plugin state display controls and plugin search boxes corresponding to each plugin; in response to detecting a selection operation acting on the gallery management control, displaying a gallery management page on the intelligent drawing homepage, wherein the gallery management page displays a gallery overview frame, an uploading picture control and an image preview detail control; responding to the detection of the selection operation acting on the advanced option control, and displaying an advanced option page on the intelligent drawing homepage, wherein the advanced option page displays a display card setting control, a network acceleration control, a non-start update control and a custom start command control; responsive to detecting a selection operation acting on the creative laboratory control, displaying a creative laboratory page on the intelligent drawing homepage, wherein the creative laboratory page displays a character model reloading control, a static layout control and a network product interface control; in response to detecting a selection operation acting on the character model reloading control, displaying a character model reloading page in the creative laboratory page, wherein the character model reloading page displays a character model image selection frame, a model clothing component retaining frame, a character image selection frame, a scene selection frame, a model transformation control and an image saving control; generating a transformed character model image in response to detecting a selection operation of a character model image in the character model image selection frame, a selection operation of at least one model clothing component in the model clothing component retention frame, a selection operation of a character image in the character image selection frame, a selection operation of a scene in the scene selection frame, and a selection operation of the model transformation control; and in response to detecting the selection of the image save control, storing the transformed character model image in a local database.

Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including a product oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, 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.

The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor comprising: the display device comprises a first display unit, a second display unit, a third display unit, a fourth display unit, a fifth display unit, a sixth display unit, a generation unit and a storage unit. Wherein the names of the elements do not constitute a limitation on the element itself in some cases, for example, the storage element may also be described as "an element that stores the transformed character model image into a local database in response to detecting the selection of the image save control.

The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.

Claims (7)

1. A page interaction method based on intelligent drawing comprises the following steps:

responsive to detecting a selection operation acting on an intelligent drawing application icon, displaying an intelligent drawing homepage, wherein the intelligent drawing homepage displays a plugin management control, a gallery management control, an advanced option control and a creative laboratory control;

in response to detecting a selection operation acting on the plugin management control, displaying a plugin management page on the intelligent drawing homepage, wherein the plugin management page displays a plugin browsing control, a plugin list, and plugin state display controls and plugin search boxes corresponding to each plugin;

in response to detecting a selection operation acting on the gallery management control, displaying a gallery management page on the intelligent drawing homepage, wherein the gallery management page displays a gallery overview frame, an uploading picture control and an image preview detail control;

in response to detecting a selection operation acting on the advanced option control, displaying an advanced option page on the intelligent drawing homepage, wherein the advanced option page displays a display card setting control, a network acceleration control, a non-start update control and a custom start command control;

Responsive to detecting a selection operation acting on the creative laboratory control, displaying a creative laboratory page on the intelligent drawing homepage, wherein the creative laboratory page displays a character model reloading control, a static layout control and a network product interface control;

in response to detecting a selection operation acting on the character model reload control, displaying a character model reload page in the creative laboratory page, wherein the character model reload page displays a character model image selection frame, a model clothing component retention frame, a character image selection frame, a scene selection frame, a model transformation control, and an image saving control;

generating a transformed character model image in response to detecting a selection operation of a character model image in the character model image selection frame, a selection operation of at least one model garment component in the model garment component retention frame, a selection operation of a character image in the character image selection frame, a selection operation of a scene in the scene selection frame, and a selection operation of the model transformation control;

in response to detecting a selection of the image save control, the transformed character model image is stored in a local database.

2. The method of claim 1, wherein the method further comprises:

in response to detecting a selection operation acting on the still layout control, displaying a still layout page in the creative laboratory page, wherein the still layout page displays a still picture selection frame, a still display selection frame and a layout confirmation control;

and generating a still layout schematic corresponding to at least one still image in response to detecting a selection operation acting on the at least one still image in the still image selection frame, a selection operation acting on any still display in the still display selection frame, and a selection operation acting on the layout confirmation control.

3. The method of claim 1, wherein the method further comprises:

and in response to detecting the selection operation acting on the network product interface control, displaying a network product interface in the creative laboratory page, wherein the network product interface displays a page skip control, a page refreshing control and a picture generation control.

4. The method of claim 1, wherein the method further comprises:

in response to detecting that an intelligent drawing application test task is executed on a test terminal, acquiring application content data displayed on a current screen on the test terminal, wherein the intelligent drawing application test task is used for indicating to test target page data in an intelligent drawing application;

Detecting the application content data according to the intelligent drawing application test task to determine whether the test terminal is running the target page data;

responding to the determination that the test terminal is running the target page data, and continuing to execute the application test task;

in response to determining that the test terminal is not running the target page data, suspending execution of the application test task;

based on the application test task, controlling the test terminal to carry out page jumping so as to jump to a target page pointed by the target page data;

and responding to the determination that the target page jump is completed, and controlling the test terminal to continue to execute the application test task.

5. A page interaction device based on intelligent drawing, comprising:

a first display unit configured to display an intelligent drawing homepage in response to detection of a selection operation acting on an intelligent drawing application icon, wherein the intelligent drawing homepage displays a plugin management control, a gallery management control, an advanced option control, and a creative laboratory control;

the second display unit is configured to respond to detection of selection operation acting on the plugin management control, and display a plugin management page on the intelligent drawing homepage, wherein the plugin management page displays a plugin browsing control, a plugin list, and plugin state display controls and plugin search boxes corresponding to each plugin;

A third display unit configured to display a gallery management page on the intelligent drawing homepage in response to detection of a selection operation acting on the gallery management control, wherein the gallery management page displays a gallery overview frame, an upload picture control and an image preview detail control;

a fourth display unit configured to display an advanced option page on the intelligent drawing homepage in response to detection of a selection operation acting on the advanced option control, wherein the advanced option page displays a graphic card setting control, a network acceleration control, a non-start update control and a custom start command control;

a fifth display unit configured to display a creative laboratory page on the intelligent drawing homepage in response to detecting a selection operation acting on the creative laboratory control, wherein the creative laboratory page displays a character model reload control, a still layout control, a web product interface control;

a sixth display unit configured to display a character model reload page in the creative laboratory page in response to detecting a selection operation acting on the character model reload control, wherein the character model reload page displays a character model image selection frame, a model clothing component retention frame, a character image selection frame, a scene selection frame, a model transformation control, an image save control;

A generation unit configured to generate a transformed character model image in response to detection of a selection operation on a character model image in the character model image selection frame, a selection operation on at least one model clothing component in the model clothing component retention frame, a selection operation on a character image in the character image selection frame, a selection operation on a scene in the scene selection frame, and a selection operation on the model transformation control;

a storage unit configured to store the transformed character model image in a local database in response to detecting a selection operation of the image save control.

6. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon;

when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-4.

7. A computer readable medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the method of any of claims 1-4.