CN111950562A - Picture processing method and device, terminal equipment and storage medium - Google Patents
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- 238000013507 mapping Methods 0.000 claims description 10
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Abstract
The invention discloses a picture processing method, a picture processing device, computer equipment and a storage medium, wherein the picture processing method comprises the following steps: acquiring picture uploading information, wherein the picture uploading information is rule information of pictures which are allowed to be uploaded by a target e-commerce platform; acquiring an original picture, and performing preset processing on the original picture according to the picture uploading information to obtain a target picture which accords with a picture uploading rule of a target e-commerce platform mapped by the picture uploading information, wherein the preset processing comprises converting the format of the original picture; the target pictures are sent to the target e-commerce platform, batch processing is uniformly carried out on the original pictures according to the collected rule information of each e-commerce platform, the pictures meeting the requirements are transmitted to the target e-commerce platform, manual picture processing is not needed, and labor cost is saved.
Description
Technical Field
The present invention relates to the field of computers, and in particular, to a method and an apparatus for processing pictures, a terminal device, and a storage medium.
Background
With the development of the internet, the number of e-commerce platforms is increasing, and a plurality of merchants lay on different platforms and have internet shops, but because the architectures of the platforms are different, the required photo formats and sizes of the platforms are different, and the merchants need to process pictures respectively for the different platforms, which wastes time and labor.
Disclosure of Invention
In view of the above problems, the present invention provides a method and an apparatus for processing pictures, a terminal device and a storage medium, which can automatically and uniformly process pictures according to the requirements of different e-commerce platforms and upload the pictures to corresponding target e-commerce platforms, thereby saving labor cost.
According to a first aspect of the present invention, an embodiment of the present invention provides an image processing method, including:
acquiring picture uploading information, wherein the picture uploading information is rule information of pictures which are allowed to be uploaded by a target e-commerce platform;
acquiring an original picture, and performing preset processing on the original picture according to the picture uploading information to obtain a target picture which accords with a picture uploading rule of a target e-commerce platform mapped by the picture uploading information, wherein the preset processing comprises converting the format of the original picture;
and sending the target picture to the target e-commerce platform.
Optionally, the picture uploading information includes one or more, and the obtaining the picture uploading information includes:
identifying the quantity of the picture uploading information;
when the number of the picture uploading information is more than or equal to 2, respectively reading rule parameters corresponding to the picture uploading information;
summarizing the rule parameters, if the rule parameters are the same, establishing a processing task, and if the rule parameters are different, respectively establishing different processing tasks;
and building a task set according to a preset rule.
Optionally, the obtaining an original picture, and performing preset processing on the original picture according to the picture upload information includes:
acquiring a task set;
sequentially carrying out task processing on the original pictures according to the priority level of the task set to obtain a processing result;
and mapping and packaging the processing result and the picture uploading information into a corresponding target picture of the target e-commerce platform.
Optionally, the preset processing further includes one or more of changing a pixel size of the original picture, changing a size of the original picture, or changing a color of the original picture.
Optionally, the obtaining the original picture, and performing preset processing on the original picture according to the picture upload information further includes:
identifying whether the original picture has sensitive information;
and when the sensitive information exists, carrying out fuzzy processing on the sensitive information.
Optionally, the method for mapping and packaging the processing result and the picture upload information into the corresponding target picture of the target e-commerce platform includes:
acquiring rule parameters of the picture uploading information and identity information of a target e-commerce platform;
and extracting the processing result which accords with the rule parameters from the processing result, and mapping the processing result with the identity information of the target e-commerce platform.
On the other hand, the present application also discloses an image processing apparatus, including:
the uploading information acquisition module: the system comprises a server and a server, wherein the server is configured to execute acquisition of picture uploading information, and the picture uploading information is rule information of pictures which are allowed to be uploaded by a target e-commerce platform;
the picture acquisition module: the image uploading information processing method comprises the steps that the image uploading information processing method is configured to execute the steps of obtaining an original image, and carrying out preset processing on the original image according to the image uploading information to obtain a target image which accords with an image uploading rule of a target e-commerce platform mapped by the image uploading information, wherein the preset processing comprises converting the format of the original image;
a sending module: configured to perform sending the target picture to the target e-commerce platform.
Optionally, the picture uploading information includes one or more, and the uploading information obtaining module includes:
an identification module: configured to perform identifying the number of the picture upload information;
a reading module: the image uploading information processing device is configured to execute that when the number of the image uploading information is more than or equal to 2, the rule parameters corresponding to the image uploading information are respectively read;
a summary module: the system is configured to perform summarization on the rule parameters, establish a processing task if the rule parameters are the same, and respectively establish different processing tasks if the rule parameters are different;
building a module: configured to perform the set of tasks set up according to preset rules.
In another aspect, the present application discloses a terminal device, comprising:
one or more processors;
a memory;
one or more computer programs, wherein the one or more computer programs are stored in the memory and configured to be executed by the one or more processors, the one or more computer programs configured to perform any of the picture processing methods described above.
In another aspect, the present application discloses a computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor to perform any one of the above-mentioned picture processing methods.
Compared with the prior art, based on the scheme provided by the invention, the original pictures are uniformly processed in batches according to the collected rule information of each e-commerce platform, and the pictures meeting the requirements are transmitted to the target e-commerce platform, so that the pictures do not need to be manually processed, and the labor cost is saved.
These and other aspects of the invention are apparent from and will be elucidated with reference to the embodiments described hereinafter.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flowchart illustrating a method for processing a picture according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for obtaining picture upload information according to an embodiment of the present invention;
FIG. 3 is a flow chart of a first method of performing pre-processing according to one embodiment of the present invention;
FIG. 4 is a flowchart of a processing result encapsulation method according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating a second method of pre-processing pictures according to an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of a picture processing apparatus according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
In some of the flows described in the present specification and claims and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, with the order of the operations being numbered 100, 200, etc. merely to distinguish between the various operations, and the order of execution does not in itself dictate any order of execution. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present application is applicable to docking various e-commerce platforms. The specification and format of product pictures which are required to be uploaded by different e-commerce platforms may be different, the embodiment of the application provides a picture processing method, the same picture can be processed into pictures meeting the requirements of different e-commerce platforms in batches, and the specific steps include:
s100, obtaining picture uploading information, wherein the picture uploading information is rule information of pictures which are allowed to be uploaded by a target e-commerce platform;
the target e-commerce platform is an e-commerce platform needing to upload pictures, and in the application, the target e-commerce platform can refer to one e-commerce platform or a plurality of different e-commerce platforms. The rule information is parameters such as format, picture size, pixel size and resolution of pictures which are allowed to be uploaded by the target e-commerce platform. For example, some e-commerce platforms only allow photos in a JPG format, some e-commerce platforms only allow photos in a PNG format, some e-commerce platforms only allow BMP formats, and some e-commerce platforms only allow formats such as TIF, GIF, RAW, and CDR, but the format of an original picture can only be one of the formats, and format conversion is required to meet the format requirements of different platforms. For the picture size, because the design of the e-commerce platform website layout generally limits the aspect ratio, for example, some limit the picture size to 16:8, some to 6:9, etc., the pixels generally have different specifications, for example, 1080 × 1440 pixels, the resolution is less than 72dpi, etc.
S200, acquiring an original picture, and performing preset processing on the original picture according to the picture uploading information to obtain a target picture according with a picture uploading rule of a target e-commerce platform mapped by the picture uploading information, wherein the preset processing comprises converting the format of the original picture;
when the picture uploading information is obtained, the original picture can be preprocessed according to the rule represented by the picture uploading information after the original picture is obtained. In an embodiment, the preprocessing includes converting a format of the original picture, for example, the original picture is in a PNG format, where there are 2 pieces of acquired picture upload information, a format allowed to be uploaded and specified by one piece of picture upload information is JPG, and a format allowed to be uploaded and specified by another piece of picture upload information is GIF, so that the same original picture is processed into a JPG format picture and a GIF picture format, respectively, where the JPG format picture and the GIF picture format are corresponding target pictures, and generally how many pieces of picture upload information are acquired, and how many target pictures correspond to several target e-commerce platforms.
S300, sending the target picture to the target e-commerce platform.
And after the acquired original picture is preprocessed, the acquired target picture is sent to the corresponding target e-commerce platform. It should be noted that when the picture upload information is acquired, the address information of the target e-commerce platform is extracted in a correlated manner, and after the original picture is processed, the target picture meeting the upload requirement of the target e-commerce platform is sent to the corresponding target e-commerce platform.
In an embodiment, referring to fig. 2, the picture uploading information includes one or more of the picture uploading information, and the obtaining the picture uploading information includes:
s110, identifying the number of the picture uploading information;
s120, when the number of the picture uploading information is more than or equal to 2, respectively reading rule parameters corresponding to the picture uploading information;
s130, summarizing the rule parameters, if the rule parameters are the same, establishing a processing task, and if the rule parameters are different, respectively establishing different processing tasks;
and S140, building a task set according to a preset rule.
In this embodiment, after the picture upload information is obtained, the number of the current picture upload information needs to be identified, and when the number of the picture upload information is greater than or equal to 2, the corresponding rule parameter information is obtained respectively.
In an embodiment, the pre-setting process further comprises one or more of changing a pixel size of the original picture, changing a size of the original picture, or changing a color of the original picture. Referring to fig. 3, the obtaining of the original picture, and performing preset processing on the original picture according to the picture uploading information includes:
s210, acquiring a task set;
s220, sequentially carrying out task processing on the original pictures according to the priority level of the task set to obtain a processing result;
and S230, mapping and packaging the processing result and the picture uploading information into a corresponding target picture of the target e-commerce platform.
The task set is a set formed by classifying the preset rules, for example, uploading information of 3 pictures is respectively obtained, the corresponding parameter sets are A, B and C, the corresponding parameter sets comprise three parameter rules of picture format, picture size and resolution, and the rule in the set A is as follows: forming a JPG format picture, wherein the picture size is 16:9, the resolution is 300dpi, and the rule in the set B is that the JPG format picture is formed, the picture size is 6:9, and the resolution is 300 dpi; the rules in the set C are for forming PNG format pictures, the picture size is 6:9, and the resolution is 72dpi, so that there are two task sets for the picture format, one is for converting the format of the original picture into the JPG format, the other is for converting the original picture into the PNG format, there are two task set processes for the picture size, one is for adjusting the picture size to 16:9, one is for adjusting the picture size to 6:9, and there are two processing task set processes for the resolution, one is for processing to 300dpi, and one is for processing to 72dpi, which are expressed by a table corresponding to A, B, C:
TABLE 1
| Aggregate sequence number | Picture format | Size of picture | Resolution ratio |
| A | JPG | 16:9 | 300dpi |
| B | JPG | 6:9 | 300dpi |
| C | PNG | 6:9 | 72dpi |
When the delete task set is obtained, the processing sequence of each set needs to be limited, and this processing sequence may be set in advance, and is processed in order in a priority level manner, for example, the highest priority level is the picture format, the second is the picture resolution, and the third is the picture size, so after the original picture is obtained, the original picture is first converted into the JPG format and the PNG format, and when the conversion is completed, the resolution of the pictures processed in the two formats is adjusted, and at this time, it is known that, in the two picture formats, the resolution of the picture in the JPG format only needs to be adjusted to 300dpi, and the resolution of the picture in the PNG format only needs to be adjusted to 72dpi, so there are only two process tasks for adjusting the picture resolution. After the resolution task is completed, the picture size processing is required, and as can be seen from table 1, the picture size processing is required twice for the picture in the JPG format with the resolution of 300dpi, one time is adjusted to 16:9, and the other time is adjusted to 6:9, and for the picture in the PNG format with the resolution of 72dpi, there is a processing procedure, that is, the picture is processed to 6:9, so that there are 3 processing procedures in the link of the picture size.
In an embodiment, referring to fig. 4, the method for mapping and packaging the processing result and the picture upload information into the corresponding target picture of the target e-commerce platform includes:
s231, acquiring rule parameters of the picture uploading information and identity information of a target e-commerce platform;
s232, extracting the processing result which accords with the rule parameters from the processing result, and mapping the processing result with the identity information of the target e-commerce platform.
According to the processing sequence, three picture results which conform to A, B, C three sets can be obtained respectively, and after the processing result is obtained, the processing result is sent to the corresponding target e-commerce platform through the identity information address as the identity information address of the target e-commerce platform can be obtained from the picture uploading information.
And mapping the picture which accords with the processing result of the rule parameter with the identity information of the target e-commerce platform to form a target picture, and sending the target picture to the corresponding target e-commerce platform through corresponding address information.
In an embodiment, referring to fig. 5, the obtaining an original picture and performing a preset process on the original picture according to the picture uploading information further includes:
s240, identifying whether the original picture has sensitive information;
and S250, when the sensitive information exists, carrying out fuzzy processing on the sensitive information.
The above steps S210 to S230 are to process the format of the physical state of the picture, and in another embodiment, the content presented in the picture may be further processed, for example, to identify the sensitive information in the picture and perform a blurring process on the sensitive information. In an embodiment, the sensitive information recognition may perform image character recognition by an OCR technology, or may recognize information in an image by a neural network model, and after the information is recognized, the sensitive information list may be set to compare whether the above sensitive information exists in the recognized information, and if so, the sensitive information may be locked to perform a fuzzy processing. The blurring process may be performed when the sensitive information is blocked by a special symbol, for example, by an "+", so that the privacy of the user can be protected.
In an embodiment, referring to fig. 6, the present application discloses a picture processing apparatus, including:
the upload information acquisition module 100: the system comprises a server and a server, wherein the server is configured to execute acquisition of picture uploading information, and the picture uploading information is rule information of pictures which are allowed to be uploaded by a target e-commerce platform;
the picture acquisition module 200: the image uploading information processing method comprises the steps that the image uploading information processing method is configured to execute the steps of obtaining an original image, and carrying out preset processing on the original image according to the image uploading information to obtain a target image which accords with an image uploading rule of a target e-commerce platform mapped by the image uploading information, wherein the preset processing comprises converting the format of the original image;
the sending module 300: configured to perform sending the target picture to the target e-commerce platform.
In another embodiment, the picture uploading information includes one or more, and the uploading information obtaining module includes:
an identification module: configured to perform identifying the number of the picture upload information;
a reading module: the image uploading information processing device is configured to execute that when the number of the image uploading information is more than or equal to 2, the rule parameters corresponding to the image uploading information are respectively read;
a summary module: the system is configured to perform summarization on the rule parameters, establish a processing task if the rule parameters are the same, and respectively establish different processing tasks if the rule parameters are different;
building a module: configured to perform the set of tasks set up according to preset rules.
Since the image processing apparatus is an item of apparatus corresponding to the image processing method one to one, the working principles thereof are the same, and are not described herein again.
FIG. 7 is a block diagram of a basic structure of a computer device according to an embodiment of the present invention.
The computer device includes a processor, a non-volatile storage medium, a memory, and a network interface connected by a system bus. The non-volatile storage medium of the computer device stores an operating system, a database and computer readable instructions, the database can store control information sequences, and the computer readable instructions can enable the processor to realize a picture processing method when being executed by the processor. The processor of the computer device is used for providing calculation and control capability and supporting the operation of the whole computer device. The memory of the computer device may have stored therein computer readable instructions that, when executed by the processor, may cause the processor to perform a picture processing method. The network interface of the computer device is used for connecting and communicating with the terminal. Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
The computer equipment receives the state information of the prompt behavior sent by the associated client, namely whether the associated terminal starts the prompt or not and whether the borrower closes the prompt task or not. And the relevant terminal can execute corresponding operation according to the preset instruction by verifying whether the task condition is achieved or not, so that the relevant terminal can be effectively supervised. Meanwhile, when the prompt information state is different from the preset state instruction, the server side controls the associated terminal to ring continuously so as to prevent the problem that the prompt task of the associated terminal is automatically terminated after being executed for a period of time.
The present invention also provides a storage medium storing computer-readable instructions, which when executed by one or more processors, cause the one or more processors to perform the picture processing method according to any one of the above embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM).
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
While the mobile terminal provided by the present invention has been described in detail, for those skilled in the art, the idea of the embodiment of the present invention may be changed in the specific implementation and application scope, and in summary, the content of the present description should not be construed as limiting the present invention.
Claims (10)
1. An image processing method, comprising:
acquiring picture uploading information, wherein the picture uploading information is rule information of pictures which are allowed to be uploaded by a target e-commerce platform;
acquiring an original picture, and performing preset processing on the original picture according to the picture uploading information to obtain a target picture which accords with a picture uploading rule of a target e-commerce platform mapped by the picture uploading information, wherein the preset processing comprises converting the format of the original picture;
and sending the target picture to the target e-commerce platform.
2. The method according to claim 1, wherein the picture uploading information includes one or more, and the obtaining the picture uploading information includes:
identifying the quantity of the picture uploading information;
when the number of the picture uploading information is more than or equal to 2, respectively reading rule parameters corresponding to the picture uploading information;
summarizing the rule parameters, if the rule parameters are the same, establishing a processing task, and if the rule parameters are different, respectively establishing different processing tasks;
and building a task set according to a preset rule.
3. The method according to claim 2, wherein the obtaining of the original picture and the performing of the preset processing on the original picture according to the picture upload information include:
acquiring a task set;
sequentially carrying out task processing on the original pictures according to the priority level of the task set to obtain a processing result;
and mapping and packaging the processing result and the picture uploading information into a corresponding target picture of the target e-commerce platform.
4. The picture processing method according to claim 1, wherein the pre-setting process further comprises one or more of changing a pixel size of the original picture, changing a size of the original picture, or changing a color of the original picture.
5. The method according to claim 1, wherein the obtaining an original picture and the pre-processing the original picture according to the picture upload information further comprise:
identifying whether the original picture has sensitive information;
and when the sensitive information exists, carrying out fuzzy processing on the sensitive information.
6. The picture processing method according to claim 1, wherein the method of mapping and encapsulating the processing result and the picture upload information into the corresponding target picture of the target e-commerce platform comprises:
acquiring rule parameters of the picture uploading information and identity information of a target e-commerce platform;
and extracting the processing result which accords with the rule parameters from the processing result, and mapping the processing result with the identity information of the target e-commerce platform.
7. A picture processing apparatus, comprising:
the uploading information acquisition module: the system comprises a server and a server, wherein the server is configured to execute acquisition of picture uploading information, and the picture uploading information is rule information of pictures which are allowed to be uploaded by a target e-commerce platform;
the picture acquisition module: the image uploading information processing method comprises the steps that the image uploading information processing method is configured to execute the steps of obtaining an original image, and carrying out preset processing on the original image according to the image uploading information to obtain a target image which accords with an image uploading rule of a target e-commerce platform mapped by the image uploading information, wherein the preset processing comprises converting the format of the original image;
a sending module: configured to perform sending the target picture to the target e-commerce platform.
8. The apparatus according to claim 7, wherein the picture uploading information includes one or more, and the uploading information acquiring module includes:
an identification module: configured to perform identifying the number of the picture upload information;
a reading module: the image uploading information processing device is configured to execute that when the number of the image uploading information is more than or equal to 2, the rule parameters corresponding to the image uploading information are respectively read;
a summary module: the system is configured to perform summarization on the rule parameters, establish a processing task if the rule parameters are the same, and respectively establish different processing tasks if the rule parameters are different;
building a module: configured to perform the set of tasks set up according to preset rules.
9. A terminal device, comprising:
one or more processors;
a memory;
one or more computer programs, wherein the one or more computer programs are stored in the memory and configured to be executed by the one or more processors, the one or more computer programs configured to perform the picture processing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, implements the picture processing method according to any one of claims 1 to 7.
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| CN113222703A (en) * | 2021-05-20 | 2021-08-06 | 青岛海信智慧生活科技股份有限公司 | Method and device for uploading commodity pictures in batches |
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