CN110634102A - Cross-platform certificate photo mobile terminal system based on flutter and use method thereof - Google Patents
Cross-platform certificate photo mobile terminal system based on flutter and use method thereof Download PDFInfo
- Publication number
- CN110634102A CN110634102A CN201911130475.1A CN201911130475A CN110634102A CN 110634102 A CN110634102 A CN 110634102A CN 201911130475 A CN201911130475 A CN 201911130475A CN 110634102 A CN110634102 A CN 110634102A
- Authority
- CN
- China
- Prior art keywords
- plug
- flutter
- face
- beauty
- mobile terminal
- 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
- 238000000034 method Methods 0.000 title claims abstract description 24
- 230000006870 function Effects 0.000 claims abstract description 40
- 230000003796 beauty Effects 0.000 claims abstract description 36
- 230000006978 adaptation Effects 0.000 claims abstract description 15
- 238000004891 communication Methods 0.000 claims abstract description 4
- 239000011248 coating agent Substances 0.000 claims description 9
- 238000000576 coating method Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 7
- 238000012417 linear regression Methods 0.000 claims description 4
- 239000000463 material Substances 0.000 claims description 4
- 238000007637 random forest analysis Methods 0.000 claims description 4
- 238000012549 training Methods 0.000 claims description 4
- 230000007246 mechanism Effects 0.000 claims description 3
- 230000002194 synthesizing effect Effects 0.000 claims description 3
- 230000015572 biosynthetic process Effects 0.000 claims description 2
- 238000003786 synthesis reaction Methods 0.000 claims description 2
- 238000009966 trimming Methods 0.000 claims 1
- 238000011161 development Methods 0.000 abstract description 10
- 230000000694 effects Effects 0.000 abstract description 6
- 238000010422 painting Methods 0.000 abstract description 4
- 238000013461 design Methods 0.000 abstract description 3
- 238000007639 printing Methods 0.000 abstract description 2
- 230000004044 response Effects 0.000 abstract description 2
- 238000009877 rendering Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 230000009467 reduction Effects 0.000 description 4
- 238000004422 calculation algorithm Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 2
- 238000012805 post-processing Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- VYZAMTAEIAYCRO-UHFFFAOYSA-N Chromium Chemical compound [Cr] VYZAMTAEIAYCRO-UHFFFAOYSA-N 0.000 description 1
- 241000720913 Fuchsia Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 238000003702 image correction Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000037303 wrinkles Effects 0.000 description 1
Images
Classifications
-
- 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
- G06F3/04845—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 for image manipulation, e.g. dragging, rotation, expansion or change of colour
-
- G06T3/04—
Abstract
The invention relates to the field of design of a certificate photo mobile terminal, and provides a flutter-based cross-platform certificate photo mobile terminal system and a use method thereof. The system comprises a flutter frame, a user interface, a camera plug-in, a face recognition plug-in, a beauty makeup plug-in, a beauty face plug-in, a beauty shape plug-in and a sectional plug-in. The method has the advantages that the association and communication with the original adaptation layer are established through upper business logic, the camera plug-in, the face recognition plug-in, the cutout plug-in, the make-up plug-in, the face make-up plug-in and the shape make-up plug-in are called to render the picture, cross-platform development and quick response iteration are achieved, development time is saved, different certificate photo specifications can be adapted by the scheme, specified printing effects are achieved, functions of later-stage face making, shape making, fine painting and the like are provided, and user requirements are met.
Description
Technical Field
The invention relates to the field of certificate photo mobile terminal design, in particular to a flutter-based cross-platform certificate photo mobile terminal system and a using method thereof.
Background
The certificate photo system is a system integrating technologies such as image processing and mobile application development. In the prior art, most manufacturers respectively develop corresponding native applications for different platforms such as iOS and Android, which inevitably brings expensive development cost. The cross-platform development technology can save cost and optimize development efficiency, and compared with the existing cross-platform technologies such as reactive native, cordiova and the like, the experience of native application has a larger gap.
In a certificate photo system, a user needs to get a better application experience. The existing certificate photo system only provides a function of replacing a background, has poor effects of manual photographing and picture repairing under a line and cannot meet the actual requirements of users on different types of certificate photos.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a flutter-based cross-platform certificate photo mobile terminal system and a using method thereof, which utilize the flutter technology to realize a cross-platform scheme of certificate photos, and due to a unique rendering engine scheme, the quality close to the quality of native application can be achieved. Due to the characteristic of hot reloading, the iteration efficiency of development can be improved, and the development cost can be reduced. Meanwhile, in the technical scheme based on the flutter, the modules such as face recognition, beauty, shape and makeup are accessed to the certificate photo system, and better certificate photo experience can be provided for a user.
The invention provides a flutter-based cross-platform certificate photo mobile terminal system in a first aspect, which comprises a flutter layer and a native adaptation layer.
The flutter layer comprises a flutter frame and a user interface; the flutter layer establishes cross-platform upper-layer service logic through layout and drawing in a flutter frame, and the layer is subjected to synthesis operation through an engine; the user interface is used for receiving a user input instruction.
The native adaptation layer comprises a camera plug-in, a face recognition plug-in, a beauty makeup plug-in, a beauty face plug-in, a beauty shape plug-in and a sectional plug-in; the native adaptation layer provides native core functions for the system in a plug-in mode; the primary core functions comprise a camera and photo album function, a face point position identification function, a portrait makeup function, a portrait face beautifying function and a portrait shape beautifying function.
Furthermore, the engine is mainly responsible for graphic drawing, text typesetting and Dart operation providing, and is realized by C + +.
Furthermore, the camera plug-in realizes the adaptation of relevant functions of the camera through the iOS or Android terminal respectively, realizes the flutter plug-in, and provides the camera and photo album functions for the system.
If the type of the current equipment is the iOS type, establishing a URL for opening a picture browser and calling a URL generator, after the URL is intercepted by a URL interceptor, analyzing an iOS method name and a picture path which need to be called, and calling an iOS native picture browser by the URL interceptor to open a picture.
If the type of the current equipment is the Android type, a javascript interface function interface is called, and the javascript interface function interface calls an Android native picture browser to open a picture.
According to the invention, the face recognition plug-in is respectively connected to the local face recognition plug-in at the iOS or Android end, so as to provide face point positions for subsequent face beautifying, shape beautifying, makeup beautifying and certificate photo cutting plug-ins.
According to the invention, the makeup plug-in is respectively connected to the local makeup plug-in at the iOS or Android end, so that the portrait makeup function is provided for the system.
According to the invention, the beauty plug-in is respectively connected to the local beauty plug-in at the iOS or Android end, so that the portrait beauty function is provided for the system.
According to the invention, the American-shape plug-in is respectively accessed to the local American-shape plug-in at the iOS or Android end, so that the portrait American-shape function is provided for the system.
According to the invention, the matting plug-in is respectively accessed to the local matting plug-in and the online AI matting interface at the iOS or Android end, so that the flute plug-in is realized, and fine matting service is provided for the system.
The invention provides a method for using a cross-platform certificate photo mobile terminal system based on a flutter, which comprises the following steps.
And S1, realizing the upper-layer business logic based on the flutter framework, and establishing association and communication with the native adaptation layer through the upper-layer business logic.
S2, calling the camera plug-in through the flutter frame, selecting the picture, communicating with the face recognition plug-in, intercepting the picture content according to the specified size and/or specification of the certificate photo, and storing the face point location information.
And S3, transmitting the certificate photo picture to the matting plug-in unit through the flutter frame, generating a base picture and a matting mask for certificate photo processing, and generating a coating mask for fine image correction on the upper layer of the base picture.
S4, the S2 face point location information and the S3 base map, the cutout mask and the coating mask are used as materials, and the makeup plug-in, the beauty plug-in and the beauty plug-in are called through the flutter frame to respectively carry out makeup, beauty and beauty treatment on the base map, the cutout mask and the coating mask.
And S5, synthesizing the processed base map, the matting mask and the smearing mask which are processed in the step S4 to obtain a rendered picture, and transmitting the rendered picture to an upper layer for use through a texture message mechanism of a flutter frame.
The method for acquiring the face point location information comprises the following steps: converting the image into a gray image, detecting and recording the area range of a face frame, detecting and reading feature point information corresponding to the face to form a real shape, counting the coordinates of the feature points of the face, and establishing a feature point model; extracting an initial shape group of the face in the gray level picture by adopting a random shape and adding random disturbance, carrying out iterative training on the real shape and the initial shape group by utilizing a random forest and linear regression method to obtain a new shape group, and obtaining a median of the new shape group as face point location information.
Through the technical scheme, the invention has the beneficial effects that: (1) the changeable service logic is realized through a flutter framework, cross-platform development and quick response iteration can be realized, and development time is saved; (2) the scheme can be adapted to different certificate photo specifications (color and size) and achieves the specified printing effect; (3) the scheme provides functions of later-stage beauty, shape, makeup, fine painting and the like for the certificate photo, and meets the requirements of users.
Drawings
FIG. 1 is a process flow diagram.
Fig. 2 is an overall architecture diagram.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description of the embodiments of the present invention will be made clear and complete.
In this embodiment, referring to fig. 2, an overall architecture diagram of a flutter-based cross-platform identification photo mobile terminal system is provided, which includes two parts, a flutter layer and a native adaptation layer; wherein the flutter layer comprises a flutter frame and a user interface; the flutter layer establishes cross-platform upper-layer service logic through layout and drawing in a flutter frame, and carries out layer composition through an engine; the native adaptation layer comprises a camera plug-in, a face recognition plug-in, a beauty makeup plug-in, a beauty face plug-in, a beauty shape plug-in and a sectional plug-in; the native adaptation layer provides native core functions for the mobile terminal in the form of a plug-in.
The flutter frame part is completely realized by using a Dart language, and provides a Material-style widget, a Cupertino-style widget, a text/image/button widget, rendering, animation, gestures and the like; the core code of this layer contains the packets of the flutter code library and the packets of the sky _ engine code library (dart: ui library provides the interface between the flutter framework and the engine), such as io, async, and ui packets.
Wherein the engine is implemented in C + + and comprises Skia, Dart and Text; skia is an open source 2D graphics library, and provides a general API for various hardware and software platforms; it is a graphics engine for google Chrome, Chrome OS, Android, Mozilla Firefox, Firefox OS, etc; the supported platforms include Windows7+, macOS10.10.5+, iOS8+, Andriod 4.1+, Ubuntu14.04+, and so on.
The Dart part of the engine mainly comprises Dart runtime and Garbage Collection (GC); if Flutter is running in debug mode, it also includes JIT (just in time) support, while if in issue mode, it compiles the Dart code into native "arm" code via AOT (ahead of time), which is not JIT at this time; text refers to the following Text rendering library: libtxt library (for font selection and separator lines) derived from minikin and HartBuzz (for glyphs and graphics); skia serves as the rendering backend, with FreeType rendering on Android and Fuchsia and CoreGraphic rendering on iOS.
The camera plug-in is respectively matched with relevant functions of the camera at the iOS or Android end, so that the flutter plug-in is realized, and the functions of the camera and the album are provided for the system.
If the type of the current equipment is the iOS type, constructing a URL for opening a picture browser and calling a URL generator, after the URL is intercepted by a URL interceptor, analyzing an iOS method name and a picture path to be called, and calling an iOS native picture browser by the URL interceptor to open a picture; and if the type of the current equipment is the Android type, calling a javascript interface function interface, and calling an Android native picture browser to open the picture by the javascript interface function interface.
The face recognition plug-in is connected with the local face recognition plug-in through the iOS or Android end respectively, and face point positions are provided for the follow-up face beautifying, shape beautifying, makeup beautifying and cutout plug-in.
The face recognition plug-in obtains a gray picture by adjusting the values of three color channels of the picture R, G, B, and then obtains a face frame and corresponding face characteristic points by an Adaboost face recognition algorithm; constructing the characteristic points into a real shape, and acquiring an initial shape group of the human face through random disturbance; and iteratively training the real shape and the initial shape group by using a random forest and linear regression method to obtain a new shape group, and solving a median of the new shape group as the provided human face point position.
The makeup plug-in is respectively connected to the local makeup plug-in at the iOS or Android end, and provides a portrait makeup function for the system.
The beauty plug-in is respectively connected to the local beauty plug-in at the iOS end or the Android end, and provides a portrait beauty function for the system.
The beauty insert comprises: carrying out fuzzy processing on the image by using a filtering algorithm with an edge protection effect; protecting non-skin areas with a skin color detection algorithm; fusing the blurred image with the original image; and carrying out sharpening processing on the fused image.
The American-shape plug-in is respectively connected to the local American-shape plug-in at the iOS or Android end, so that the portrait American-shape function is provided for the system.
The American plug-in realizes the zooming in and out of the face area by offsetting the pixel position in a shader (texture) under the environment of OpenGL or Metal: and obtaining the coordinates after deformation according to the coordinates before deformation and the deformation mapping relation.
The matting plug-in is respectively connected with the local matting plug-in and the online AI matting interface at the iOS or Android end, so that the flute plug-in is realized, and fine matting service is provided for the system.
The native plug-ins may be existing Adobe Photoshop plug-ins, for example.
PortraitPro: an intelligent portrait beautifying and skin grinding software can repair and beautify wrinkles, black spots, oily light and the like of people in a PS photo through the plug-in. The software contains a large number of beautifying tools, and can carry out figure makeup besides repairing flaws.
Nik Collection: the Google flag post-processing filter plug-in is a set of professional post-processing filter plug-in, and comprises a classical effect filter, an image color mixing filter, an HDR imaging filter, a black and white film filter, a selective adjusting filter, a sharpening filter and a noise reduction filter.
Noiseware: the method is professional PS picture noise reduction software, can optimize the noise of the picture, automatically detects the part of the picture with the optimized noise, automatically calculates professional noise reduction values, and can finish noise reduction according to internal data adjustment.
Digital array Texture array: is a Photoshop texture filter plug-in which comprises a plurality of preset beautiful texture schemes. Three very beautiful material plug-in packages are arranged in the plug-in, and the plug-in packages provide rich texture control functions, four adjustable light sources, a complete gradient editor and 38 different basic noise points. The texture is generated through geometric operations and can be scaled to any resolution.
ON1 Effects: the color matching filter library is a powerful PS photo color matching filter library, and hundreds of stackable filters, presets, frames and textures are arranged in a plug-in. Can be used to add HDR look, convert to black and white, reveal more detail, reduce noise or enhance portraits, help users solve all filter problems in one-stop fashion.
Fluid Mask 3: the tool can help to process the PS image, the editing function in the plug-in is very rich, various painting brush tools are supported, the scratched photo can be loaded to an editing area, and different painting brush tools are used for processing the scratched photo, so that the PS image is optimized; the colleagues also support auxiliary functions such as edge width adjustment, mask design, tone adjustment, grabbing, zooming, photographing and the like.
In order to be matched with the realization of the invention, based on the same inventive concept, the invention also provides a using method of the cross-platform certificate photo mobile terminal system based on the flutter, which comprises the following steps.
And S1, realizing the upper-layer business logic based on the flutter framework, and establishing association and communication with the native adaptation layer through the upper-layer business logic.
S2, calling the camera plug-in through the flutter frame, selecting the picture, communicating with the face recognition plug-in, intercepting the picture content according to the specified size and/or specification of the certificate photo, and storing the face point location information.
The method for acquiring the face point location information comprises the following steps: converting the image into a gray image, detecting and recording the area range of a face frame, detecting and reading feature point information corresponding to the face to form a real shape, counting the coordinates of the feature points of the face, and establishing a feature point model; extracting an initial shape group of the face in the gray level picture by adopting a random shape and adding random disturbance, carrying out iterative training on the real shape and the initial shape group by utilizing a random forest and linear regression method to obtain a new shape group, and obtaining a median of the new shape group as face point location information.
S3, transferring the certificate photo picture to the cutout plug-in unit through the flutter frame to generate a base picture and a cutout mask for certificate photo processing; and generating a coating mask for fine finishing on the upper layer of the base map.
S4, the S2 face point location information and the S3 base map, the cutout mask and the coating mask are used as materials, and the makeup plug-in, the beauty plug-in and the beauty plug-in are called through the flutter frame to respectively carry out makeup, beauty and beauty treatment on the base map, the cutout mask and the coating mask.
And S5, synthesizing the processed base map, the matting mask and the smearing mask which are processed in the step S4 to obtain a rendered picture, and transmitting the rendered picture to an upper layer for use through a texture message mechanism of a flutter frame.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. 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 (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The present embodiment also provides a storage medium, which in the present embodiment may be configured to store program codes for performing the above steps S1-S5.
In some embodiments, the storage medium is further configured to store program code for performing the method steps recited in the above-described embodiments.
In some embodiments, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
In some embodiments, the processor performs the method steps recited in the above embodiments according to program code stored in the storage medium.
For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and optional implementation manners, and details of this embodiment are not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
It should be noted that the above-described embodiments are part of the embodiments of the present invention, not all of the embodiments, and not limitation of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without inventive step, are within the scope of the present invention.
Claims (11)
1. A cross-platform certificate photo mobile terminal system based on a flutter is characterized by comprising a flutter layer and a native adaptation layer;
the flutter layer comprises a flutter frame and a user interface; the flutter layer establishes cross-platform upper-layer service logic through layout and drawing in a flutter frame, and the layer is subjected to synthesis operation through an engine; the user interface is used for receiving a user input instruction;
the native adaptation layer comprises a camera plug-in, a face recognition plug-in, a beauty makeup plug-in, a beauty face plug-in, a beauty shape plug-in and a sectional plug-in; the native adaptation layer provides native core functions for the system in a plug-in mode; the primary core functions comprise a camera and photo album function, a face point identification function, a portrait beautifying function and/or a portrait beautifying function.
2. The flutter-based cross-platform certificate photo mobile terminal system as claimed in claim 1, wherein the camera plug-in provides camera and photo album functions for the system by implementing camera-related function adaptation at iOS or Android end.
3. The flutter-based cross-platform certificate photo mobile terminal system according to claim 1, wherein the face recognition plug-in provides a face point location recognition function for the system by accessing a local face recognition plug-in at an iOS or Android terminal.
4. The flutter-based cross-platform certificate photo mobile terminal system according to claim 1, wherein the makeup plug-in provides portrait makeup functions for the system by respectively accessing a local makeup plug-in at an iOS or Android terminal.
5. The flutter-based cross-platform identification photo mobile terminal system according to claim 1, wherein the beauty plug-in provides portrait beauty function for the system by respectively accessing a local beauty plug-in at an iOS or Android terminal.
6. The flutter-based cross-platform identification photo mobile terminal system according to claim 1, wherein the American-shaped plug-in provides portrait American-shaped functions for the system by respectively accessing local American-shaped plug-ins at the iOS or Android end.
7. The flutter-based cross-platform certificate photo mobile terminal system as claimed in claim 1, wherein the matting plugin realizes the flutter plugin by accessing a local matting plugin and an online AI matting interface at the iOS or Android end, respectively, providing a fine matting operation for the system.
8. The method for using the flutter-based cross-platform certificate photo mobile terminal system according to any one of claims 1 to 7, comprising the steps of:
s1, realizing the upper layer service logic based on the flutter framework, and establishing the association and communication with the native adaptation layer through the upper layer service logic;
s2, calling a camera plug-in through a flutter frame, selecting a picture, communicating with a face recognition plug-in, intercepting the picture according to the specified size and/or specification of a certificate photo, and acquiring face point location information;
s3, transferring the certificate photo picture to the cutout plug-in unit through the flutter frame to generate a base picture and a cutout mask for certificate photo processing; generating a coating mask for fine image trimming on the upper layer of the base image;
s4, taking the face point information of the S2 and the base map, the cutout mask and the coating mask of the S3 as materials, and calling a makeup plug-in, a beauty plug-in and a beauty plug-in through a flutter frame to respectively carry out makeup, beauty and beauty treatment on the base map, the cutout mask and the coating mask;
and S5, synthesizing the processed base image, the matting mask and the smearing mask which are processed in the step S4 to obtain a rendered picture, and transmitting the rendered picture to an upper layer for use through a texture message mechanism of a flutter frame.
9. The use method according to claim 8, wherein the face point location information obtaining method includes: converting the image into a gray image, detecting and recording the area range of a face frame, detecting and reading feature point information corresponding to the face to form a real shape, counting the coordinates of the feature points of the face, and establishing a feature point model; extracting an initial shape group of the face in the gray level picture by adopting a random shape and adding random disturbance, carrying out iterative training on the real shape and the initial shape group by utilizing a random forest and linear regression method to obtain a new shape group, and obtaining a median of the new shape group as face point location information.
10. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program when running performs the method of use of any one of claims 8-9.
11. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the use method of any of claims 8-9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911130475.1A CN110634102A (en) | 2019-11-19 | 2019-11-19 | Cross-platform certificate photo mobile terminal system based on flutter and use method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911130475.1A CN110634102A (en) | 2019-11-19 | 2019-11-19 | Cross-platform certificate photo mobile terminal system based on flutter and use method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110634102A true CN110634102A (en) | 2019-12-31 |
Family
ID=68979455
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911130475.1A Pending CN110634102A (en) | 2019-11-19 | 2019-11-19 | Cross-platform certificate photo mobile terminal system based on flutter and use method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110634102A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111596949A (en) * | 2020-04-09 | 2020-08-28 | 北京五八信息技术有限公司 | Method and device for developing application program |
| CN111752454A (en) * | 2020-06-23 | 2020-10-09 | 厦门美柚股份有限公司 | Skin control method, device, terminal and medium for application program interface |
| CN112416468A (en) * | 2020-12-11 | 2021-02-26 | 四川长虹电器股份有限公司 | Flutter privatization plug-in management system and method and computer storage medium |
| CN113766318A (en) * | 2021-09-09 | 2021-12-07 | 世纪龙信息网络有限责任公司 | Video generation method and device, storage medium and computer equipment |
| CN113961158A (en) * | 2021-09-08 | 2022-01-21 | 北京房江湖科技有限公司 | Cross-platform painting brush synchronization method and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105469081A (en) * | 2016-01-15 | 2016-04-06 | 成都品果科技有限公司 | Face key point positioning method and system used for beautifying |
| CN108053366A (en) * | 2018-01-02 | 2018-05-18 | 联想(北京)有限公司 | A kind of image processing method and electronic equipment |
| CN110286927A (en) * | 2019-06-24 | 2019-09-27 | 北京字节跳动网络技术有限公司 | Hot update method, device and the equipment of Flutter application |
-
2019
- 2019-11-19 CN CN201911130475.1A patent/CN110634102A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105469081A (en) * | 2016-01-15 | 2016-04-06 | 成都品果科技有限公司 | Face key point positioning method and system used for beautifying |
| CN108053366A (en) * | 2018-01-02 | 2018-05-18 | 联想(北京)有限公司 | A kind of image processing method and electronic equipment |
| CN110286927A (en) * | 2019-06-24 | 2019-09-27 | 北京字节跳动网络技术有限公司 | Hot update method, device and the equipment of Flutter application |
Non-Patent Citations (2)
| Title |
|---|
| XEONYU: "Flutter从相册选择图片和相机拍照（image_picker）", 《HTTPS://BLOG.CSDN.NET/YUZHIQIANG_1993/ARTICLE/DETAILS/88345232》 * |
| 亢少军: "《Flutter技术入门与实战》", 31 January 2019, 机械工业出版社 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111596949A (en) * | 2020-04-09 | 2020-08-28 | 北京五八信息技术有限公司 | Method and device for developing application program |
| CN111596949B (en) * | 2020-04-09 | 2021-06-04 | 北京五八信息技术有限公司 | Method and device for developing application program |
| CN111752454A (en) * | 2020-06-23 | 2020-10-09 | 厦门美柚股份有限公司 | Skin control method, device, terminal and medium for application program interface |
| CN112416468A (en) * | 2020-12-11 | 2021-02-26 | 四川长虹电器股份有限公司 | Flutter privatization plug-in management system and method and computer storage medium |
| CN113961158A (en) * | 2021-09-08 | 2022-01-21 | 北京房江湖科技有限公司 | Cross-platform painting brush synchronization method and device |
| CN113766318A (en) * | 2021-09-09 | 2021-12-07 | 世纪龙信息网络有限责任公司 | Video generation method and device, storage medium and computer equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110634102A (en) | Cross-platform certificate photo mobile terminal system based on flutter and use method thereof | |
| US10593023B2 (en) | Deep-learning-based automatic skin retouching | |
| US10885608B2 (en) | Super-resolution with reference images | |
| CN106778928B (en) | Image processing method and device | |
| US10922860B2 (en) | Line drawing generation | |
| US11532173B2 (en) | Transformation of hand-drawn sketches to digital images | |
| US9928836B2 (en) | Natural language processing utilizing grammar templates | |
| US8368720B2 (en) | Method and apparatus for layer-based panorama adjustment and editing | |
| Yang et al. | Semantic portrait color transfer with internet images | |
| US10769830B2 (en) | Transferring vector style properties to a vector artwork | |
| CN107578367B (en) | Method and device for generating stylized image | |
| CN110163218A (en) | Desensitization process method and device based on image recognition | |
| CN110163866A (en) | A kind of image processing method, electronic equipment and computer readable storage medium | |
| US20240020810A1 (en) | UNIVERSAL STYLE TRANSFER USING MULTl-SCALE FEATURE TRANSFORM AND USER CONTROLS | |
| Sasaki et al. | Learning to restore deteriorated line drawing | |
| CN111290684A (en) | Image display method, image display device and terminal equipment | |
| CN113592735A (en) | Text page image restoration method and system, electronic equipment and computer readable medium | |
| JP2012216179A (en) | Image processing device, image processing method, and program | |
| KR20130092240A (en) | Method for transforming drawing from digital picture | |
| CN113705156A (en) | Character processing method and device | |
| CN112634314A (en) | Target image acquisition method and device, electronic equipment and storage medium | |
| US11232616B2 (en) | Methods and systems for performing editing operations on media | |
| CN105913024B (en) | The Android mobile phone endpoint detection methods of resistance Replay Attack based on LAP operator | |
| JP2011061860A (en) | Image-data processor, medium with image-data set recorded, medium with image-data processing program recorded and method for processing image data | |
| CN114519753A (en) | Image generation method, system, electronic device, storage medium and product |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191231 |