CN109242814A - Commodity image processing method, device and electronic equipment - Google Patents

Abstract

Embodiments of the present invention provide a commodity image processing method, device, and electronic device. The method includes: acquiring a commodity image and multiple frames of dynamic effect pictures; pixel fusion of each frame of dynamic effect pictures and commodity images to obtain commodity dynamic effects effect images, and multiple frames of product animation images form a product animation video, and play the product animation video. Commodity dynamic image is obtained by pixel fusion of commodity map and dynamic effect map, which has less operation actions and good real-time performance. Different animation effects are obtained according to different dynamic effect maps, which is highly flexible. Multi-frame commodity dynamic effect maps form product dynamic effects Video, by playing the animation video of the commodity, the animation image of the commodity image can be displayed, and the maintenance cost is low.

Description

Product image processing method, device and electronic device

technical field

The present invention relates to the technical field of image processing, and in particular, to a commodity image processing method, device and electronic device.

Background technique

For scene window advertisements and client-side advertisements, the media is generally responsible for creative rendering. The traditional dynamic effect picture of the product image of the client is realized by parsing the flash. However, using this method to realize the dynamic effect picture of the product image has poor real-time performance, poor flexibility and high maintenance cost.

SUMMARY OF THE INVENTION

In view of the above problems, embodiments of the present invention provide a commodity image processing method, device, and electronic device, which are used to solve the technical problems of high maintenance cost and poor real-time performance of commodity image dynamic effect pictures in the prior art.

In a first aspect, an embodiment of the present invention provides a commodity image processing method, the method comprising:

Obtain a product image and a dynamic effect image in png format, wherein the dynamic effect image includes multiple frames of static images;

According to the sorting of the multi-frame static images, pixel fusion is performed on each frame of the static image and the commodity image in the png format in turn to obtain a sorted multi-frame commodity fusion image;

Combining the sorted multi-frame commodity fusion pictures according to the ordering to obtain a commodity dynamic effect picture.

Optionally, the method further includes:

Get product images;

Determine whether the commodity image is a commodity image in png format;

When the commodity image is not a commodity image in png format, the commodity image is converted into a commodity image in png format.

Optionally, according to the sorting of the multi-frame static images, perform pixel fusion of each frame of the static image and the commodity image in the png format in sequence to obtain a sorted multi-frame commodity fusion image, including:

When performing pixel fusion of each frame of static image and the commodity image in png format in turn, for each frame of static image, obtain the mapping between each pixel in the static image of the frame and the corresponding pixel in the commodity image in png format relation;

According to the mapping relationship, the pixel value of each pixel in the png format commodity image is replaced with the pixel value of each pixel point in the static image of the frame, and a multi-frame sorted png format commodity fusion map is obtained.

Optionally, synthesizing the sorted multi-frame commodity fusion pictures into a commodity motion picture, including:

GIF encoding is performed on the multi-frame commodity fusion pictures according to the sequence, so as to obtain a commodity dynamic effect picture in gif format.

Optionally, the method also includes:

Perform a pixel deduplication operation on the sorted multi-frame commodity fusion images to obtain a background image and a plurality of foreground images;

The background image and the plurality of foreground images are stored.

Optionally, performing a pixel deduplication operation on the sorted multi-frame commodity fusion images to obtain a background image and a multi-frame foreground image, including:

Using the first frame of the commodity fusion diagram in the sorted multi-frame commodity fusion diagram as a background image;

Perform a background difference operation on the Nth frame of the commodity fusion map in the sorted multi-frame commodity fusion map and the background image to obtain a foreground image, where N≥2, the multi-frame commodity fusion map correspondingly obtains multi-frame foregrounds image.

Optionally, the method further includes: playing the dynamic effect image of the commodity at a set speed.

In a second aspect, an embodiment of the present invention provides a commodity image processing device, the device comprising:

an image acquisition module for acquiring commodity images and dynamic effect images in png format, wherein the dynamic effect images include multiple frames of static images;

a fusion module, configured to perform pixel fusion of each frame of static image and the commodity image in png format in turn according to the sorting of the multi-frame static images to obtain a sorted multi-frame commodity fusion image;

A commodity dynamic effect map generation module is used for combining the sorted multi-frame commodity fusion maps in order to obtain a commodity dynamic effect map.

Optionally, the device further includes:

Get the product image module, which is used to obtain the product image;

a judging module for judging whether the commodity image is a commodity image in png format;

The image conversion module is configured to convert the product image into a png format product image when the product image is not a png format product image.

Optionally, the fusion module includes:

Obtaining a mapping relationship unit for obtaining each pixel in the static image of the frame and the commodity image in the png format for each frame of the static image when pixel fusion is performed on the static image of each frame and the commodity image in the png format in turn. The mapping relationship between the corresponding pixels in ;

The pixel fusion unit is used to replace the pixel value of each pixel in the commodity image in the png format with the pixel value of each pixel in the static image of the frame according to the mapping relationship, and obtain a multi-frame sorted png format. Commodity Fusion Chart.

Optionally, the generating product dynamic effect map module is used for:

GIF encoding is performed on the multi-frame commodity fusion pictures according to the sequence, so as to obtain a commodity dynamic effect picture in gif format.

Optionally, the device also includes:

a pixel deduplication module for performing pixel deduplication operation on the sorted multi-frame commodity fusion images to obtain a background image and a plurality of foreground images;

A storage module, configured to store the background image and the plurality of foreground images.

Optionally, the pixel deduplication module includes:

Determining a background image unit for taking the first frame of the commodity fusion map in the sorted multi-frame commodity fusion map as a background image;

The pixel deduplication unit is used to perform a background difference operation on the Nth frame of the commodity fusion map in the sorted multi-frame commodity fusion map and the background image to obtain a foreground image, where N≥2, multi-frame commodity The fusion map corresponds to obtaining multiple frames of foreground images.

Optionally, the device further includes:

The playing module is used for playing the dynamic effect picture of the product according to the set speed.

In a third aspect, an embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the steps of the above commodity image processing method.

In a fourth aspect, an embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, the processor implements the above commodity image processing when executing the program steps of the method.

The technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

Embodiments of the present invention provide a commodity image processing method, device, and electronic device. The method includes: acquiring a commodity image and multiple frames of dynamic effect images; pixel fusion of each frame of dynamic effect images and the commodity image to obtain the commodity dynamic image. effect images, and multiple frames of product animation images form a product animation video, and play the product animation video. Commodity dynamic image is obtained by pixel fusion of commodity map and dynamic effect map, which has less operation actions and good real-time performance. Different animation effects are obtained according to different dynamic effect maps, with strong flexibility. Multi-frame commodity dynamic effect maps form product dynamic effects. Video, by playing the animation video of the commodity, the animation image of the commodity image can be displayed, and the maintenance cost is low.

The above description is only an overview of the technical solutions of the present invention, in order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand , the following specific embodiments of the present invention are given.

Description of drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are for the purpose of illustrating preferred embodiments only and are not to be considered limiting of the invention. Also, the same components are denoted by the same reference numerals throughout the drawings. In the attached image:

FIG. 1 shows a schematic flowchart of a method for processing images of commodities.

FIG. 2 shows a schematic block diagram of a product image processing apparatus 200 according to an embodiment of the present invention.

FIG. 3 shows a schematic block diagram of the fusion module 220 .

FIG. 4 shows a block diagram of the pixel deduplication module 270;

FIG. 5 shows a schematic structural diagram of an electronic device.

Detailed ways

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary 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 limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be more thoroughly understood, and will fully convey the scope of the present disclosure to those skilled in the art.

An embodiment of the present invention provides a commodity image processing method. Please refer to FIG. 1 , which shows a schematic flowchart of a commodity image processing method. The method includes:

Step S100: obtaining a commodity image and a dynamic effect image in png format, wherein the dynamic effect image includes multiple frames of static images;

In the embodiment of the present invention, the dynamic effect map is a dynamic effect map in gif format, and the dynamic effect picture of the dynamic effect map is composed of multiple frames of static images sorted. By playing a plurality of static images in sequence, the dynamic effect picture of the dynamic effect image can be realized. Motion graphics contain the animation elements that the product image needs to render. In this embodiment of the present invention, the dynamic effect map may be generated in real time, or may be generated in advance, and stored in the dynamic effect gallery. It is also possible to obtain the dynamic effect map transmitted by the data interface, or obtain the dynamic effect map from the web page. As an embodiment, the commodity image processing method further includes: acquiring a commodity image, judging whether the commodity image is a commodity image in png format; when the commodity image is not a commodity image in png format, converting the commodity image Product images in png format.

Optionally, acquiring the commodity image includes: monitoring a request for downloading the commodity image, and when the request for downloading the commodity image is intercepted, acquiring the commodity image corresponding to the request. In this embodiment of the present invention, the product image may be acquired from a web page, or may be acquired from a database.

Step S200: According to the sorting of the multi-frame static images, perform pixel fusion of each frame of the static image and the commodity image in the png format in turn, to obtain a sorted multi-frame commodity fusion image;

In the embodiment of the present invention, pixel fusion is performed between the static image and the commodity image in png format. However, the format of the commodity image may be in jpg format or in other formats, and these commodity images in non-png format need to be converted into png format , where the non-png format commodity images include commodity images in jpg format and commodity images in other formats. The obtained product image is the product image in png format, which ensures smooth pixel fusion between the static image and the product image in png format.

Each frame of static image is pixel-fused with the commodity image in png format, and a corresponding frame of commodity fusion image is obtained.

For example, if you need to perform animation effects on a product image in png format containing a mobile phone image, for example, adding dynamic effects such as clouds moving, wind blowing leaves, etc. The dynamic effect map of animation elements such as moving, wind blowing leaves, etc., that is, a static image containing cloud images and leaf images sorted by multiple frames. The position of the cloud image and leaf image in each two adjacent static images is Differently, these static images are sorted and fused with the surrounding area of the mobile phone image on the commodity image in png format, and multiple frames of commodity fusion images containing mobile phone images, cloud images and leaf images are obtained. The positions of cloud images and leaf images are also different in the frame product fusion image. Then, according to the set speed, play multiple frames of product fusion images including mobile phone images, cloud images and leaf images in order to present the dynamic image of the product. effect.

As an embodiment, according to the sorting of the multi-frame static images, pixel fusion of each frame of the static image and the commodity image in png format is performed in turn to obtain a sorted multi-frame commodity fusion image. The specific implementation is: in When performing pixel fusion of each frame of static image and the commodity image in png format in turn, for each frame of static image, first obtain the mapping between each pixel in the static image of the frame and the corresponding pixel in the commodity image in png format Then, according to the mapping relationship, replace the pixel value of each pixel in the commodity image in png format with the pixel value of each pixel in the static image of the frame to obtain a multi-frame sorted commodity fusion map in png format . For example, a static image sorted by multiple frames contains leaf images, and the positions of the leaf images in each two adjacent frames of static images are different. A product image in png format contains a mobile phone image, and the mobile phone image contained in the product image in png format is required. In the upper right corner of the mobile phone image to make the wind blowing leaves dynamic effect, then select an area in the upper right corner of the mobile phone image that is proportional to the size of the static image. For example, the size ratio of this area to the static image is 1:1. Each pixel corresponds to each pixel in the static image one-to-one. According to this one-to-one correspondence, replace the pixel value of each pixel in this area with the pixel value of the corresponding pixel in the static image. For example, the pixel value of the pixel point (x, y) in the area that needs to be animated in the upper right corner of the mobile phone image is I(x, y) = 150, which is the same as the pixel point (x, y) in the first static image. The pixel value of the corresponding pixel point (u, v) is I(u, v) = 130, then replace the pixel value of the pixel point (x, y) in the area where the upper right corner of the mobile phone image needs to be animated with I(u,v)=130, that is, I(x,y)=I(u,v)=130, in this way, replace all the pixel values of the pixels in the area that needs to be animated in the upper right corner of the mobile phone image The pixel value of the pixel point in the first frame of static image is completed, that is, the fusion of the product image in png format and the first frame of static image is completed, and the first frame of the product fusion image in png format is obtained. The pixels (x, y) in the upper right corner of the mobile phone image that need to be animated are the pixels (u+1, v+2) corresponding to the pixels (x, y) in the static image of the second frame. If the pixel value is I(u+1,v+2)=160, then replace the pixel value of the pixel (x,y) in the area where the upper right corner of the mobile phone image needs to be animated with I(u+1, v+2)=160, i.e. I(x,y)=I(u+1,v+2)=160, replace all the pixel values of the pixels in the area where the upper right corner of the mobile phone image needs to be animated The pixel value of the pixel point in the second frame of static image is completed, that is, the fusion of the product image in png format and the second frame of static image is completed, and the second frame of the product fusion image in png format is obtained. In this way, until the K-th frame of static image is fused with the commodity image in png format, the K-frame commodity fusion image in png format is obtained, that is, the pixel fusion of each frame of static image and the commodity image in png format is completed, and the sorted K frames of commodities are obtained. Fusion map, in which the dynamic effect map contains K frames of static images. For example, the size ratio of the area that needs to be animated and the static image in the product image in png format is 1:h, where h is a positive integer and h≥2, then pixel compression needs to be done. The specific implementation method is: compress the static image Divide to obtain J divided areas, among which, the number of pixels in the area that needs to be animated in the commodity image in png format is J, and the J pixels in the area that needs to be animated in the commodity image in png format are the same as The J segmented regions are in one-to-one correspondence, obtain the average pixel value of each segmented region, and replace the pixel value of the pixel point in the png format with the average pixel value of the segmented region of the speech of the pixel point. In this way, the details in each frame of the static image can be accurately mapped to the commodity image in png format. There can be one or more areas of the commodity image that need to be animated. You can select the area that needs to be animated according to the commodity image in png format. The pixels in the static image are mapped to this area, and you can flexibly choose to do different animations in different frames and areas. The pixel value of each pixel in the area is replaced with the pixel value of each pixel in the static image of the frame.

Step S300: Combining the sorted multi-frame commodity fusion pictures according to the ordering to obtain a commodity dynamic effect picture.

In the embodiment of the present invention, the specific implementation of synthesizing the sorted multi-frame commodity fusion diagram into a commodity dynamic effect diagram may be as follows: GIF encoding is performed on the multi-frame commodity fusion diagram according to the sorting, so as to obtain the commodity dynamic effect in gif format. picture. In this way, the dynamic effect picture of the product in the gif format with the dynamic effect picture can be obtained. The animation effect of the commodity image can be realized by playing the commodity dynamic effect image at the set speed. For example, the speed of each frame can be set to 0.2 seconds to play the dynamic effect picture of the product in gif format in a loop, so that the dynamic effect picture of the dynamic effect picture of the product can be continuously presented.

In order to save memory and speed up commodity image processing, a commodity image processing method provided by an embodiment of the present invention further includes performing pixel deduplication on the sorted multi-frame commodity fusion images to obtain a background image and multiple foreground images; The background image and the plurality of foreground images are stored. There are various implementations of performing pixel deduplication on the sorted multi-frame commodity fusion image to obtain the background image and multi-frame foreground image. As a first implementation, the sorted multi-frame commodity fusion image is The first frame of the commodity fusion map is used as the background image; the Nth frame of the commodity fusion map in the sorted multi-frame commodity fusion map and the background image are subjected to a background difference operation to obtain a foreground image, where N≥2, The multi-frame commodity fusion map correspondingly obtains multi-frame foreground images. Specifically, the first frame of the commodity fusion map in the sorted multi-frame commodity fusion map is used as the background image, and then the background difference operation is performed on the second frame of the commodity fusion map in the sorted multi-frame commodity fusion map and the background image to obtain the first frame foreground image, perform background difference operation on the third frame of commodity fusion image in the sorted multi-frame commodity fusion image and the background image, obtain the second frame of foreground image, and fuse the fourth frame of commodity in the sorted multi-frame commodity fusion image The background difference operation is performed between the image and the background image to obtain the third frame of foreground image, and so on, until the Kth frame of the commodity fusion image and the background image are subjected to the background difference operation, and the K-1th frame of the foreground image is obtained.

As a second embodiment, the product fusion images are separated to obtain a multi-frame sorted static image and a png format product image, and the png format product image is used as the background image, and the background difference between the multiple frame sorted static images is performed. method to obtain a foreground image sorted by multiple frames. For example, a dynamic picture of leaves blowing in the wind includes multiple frames of static pictures containing leaf images, wherein the positions of the leaf images in each frame of static pictures are different. Commodity images are fused to obtain a multi-frame commodity fusion map. In this way, the background image is the commodity fusion map obtained by merging the first static image of the dynamic effect map and the png format commodity image, and the foreground image is the Nth frame static image and the first frame static image. The figure is obtained by background difference operation. In this way, it is only necessary to store the first frame of the commodity fusion image and multiple frames of foreground images to save memory. As an embodiment, when a product image with dynamic effects needs to be played, the foreground image and the background image carrying the information of the product image and the information of the first frame of static image can be acquired in real time, such as a mobile phone image carrying the product image and the first frame of static image. The background image of the leaf image in the figure and the foreground image carrying the leaf image, the background image and the foreground image can be fused, which can realize the real-time generation of the dynamic effect picture, and the acquisition speed is fast, the calculation amount is small, and the real-time performance is good.

By adopting the above scheme, the product dynamic effect image is obtained by pixel fusion of the product map and the dynamic effect map, the operation action is less and the real-time performance is good, and different animation effects are obtained according to different dynamic effect maps, with strong flexibility and multi-frame product dynamic effects The pictures form a product animation video, and the product image animation screen is displayed by playing the product animation video, and the maintenance cost is low.

Based on the same inventive concept, the present invention also provides a commodity image processing apparatus 200 . Referring to FIG. 2 , FIG. 2 shows a schematic block diagram of a product image processing apparatus 200 according to an embodiment of the present invention. In this embodiment of the present invention, the commodity image processing apparatus 200 includes:

an image acquisition module 210, configured to acquire a commodity image and a dynamic effect image in png format, wherein the dynamic effect image includes multiple frames of static images;

The fusion module 220 is configured to perform pixel fusion of each frame of static image and the commodity image in png format according to the sorting of the multi-frame static images, to obtain a sorted multi-frame commodity fusion image;

generating a commodity dynamic effect map module 230, configured to combine the sorted multi-frame commodity fusion maps according to the ordering to obtain a commodity dynamic effect map;

Play the product animation at a set speed; and,

a commodity image acquisition module 240, used for acquiring commodity images;

A judgment module 250, configured to judge whether the commodity image is a commodity image in png format;

an image conversion module 260, configured to convert the commodity image into a commodity image in png format when the commodity image is not a commodity image in png format;

a pixel deduplication module 270, configured to perform a pixel deduplication operation on the sorted multi-frame commodity fusion images to obtain a background image and a plurality of foreground images;

a storage module 280, configured to store the background image and the plurality of foreground images;

Playing module 290, configured to play the dynamic effect picture of the product according to the set speed;

Among them, the image acquisition module 210, the fusion module 220, the commodity dynamic effect map generation module 230, the commodity image acquisition module 240, the judgment module 250, the conversion image module 260, the pixel deduplication module 270, the storage module 280 and the playback module 290 pass through bus connection. in,

The fusion module 220 includes:

Obtaining the mapping relationship unit 221 is used to obtain each pixel in the static image of the frame and the commodity in the png format for each frame of the static image when performing pixel fusion of each frame of the static image and the commodity image in the png format in turn. The mapping relationship between corresponding pixels in the image;

The pixel fusion unit 222 is configured to replace the pixel value of each pixel in the commodity image in the png format with the pixel value of each pixel in the static image of the frame according to the mapping relationship, and obtain a png format sorted by multiple frames Commodity Fusion Chart.

Please refer to FIG. 3 . FIG. 3 shows a schematic block diagram of the structure of the fusion module 220 , and the mapping relationship acquisition unit 221 is connected to the pixel fusion unit 222 .

The generating commodity dynamic effect map module 230 is used for:

GIF encoding is performed on the multi-frame commodity fusion pictures according to the sequence, so as to obtain a commodity dynamic effect picture in gif format.

The pixel deduplication module 270 includes:

Determining a background image unit 271, used for taking the first frame of the commodity fusion diagram in the sorted multi-frame commodity fusion diagram as a background image;

The pixel deduplication unit 272 is configured to perform a background difference operation on the N-th frame of the commodity fusion image in the sorted multi-frame commodity fusion image and the background image to obtain a foreground image, where N≥2, a multi-frame image is obtained. Commodity fusion map correspondingly obtains multiple frames of foreground images.

Please refer to FIG. 4 . FIG. 4 shows a block diagram of the pixel de-duplication module 270 , and it is determined that the background image unit 271 is connected to the pixel de-duplication unit 272 .

Regarding the apparatus in the above-mentioned embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be described in detail here.

An embodiment of the present invention also provides an electronic device, as shown in FIG. 5 , including a memory 504, a processor 502, and a computer program stored in the memory 504 and running on the processor 502, the processor 502 executing the When the program is described, the steps of any one of the aforementioned commodity image processing methods are implemented.

5, the bus architecture (represented by bus 500), the bus 500 may include any number of interconnected buses and bridges, the bus 500 will include one or more processors represented by processor 502 and memory 504 The various circuits of the memory are linked together. The bus 500 may also link together various other circuits, such as peripherals, voltage regulators, and power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. Bus interface 505 provides an interface between bus 500 and receiver 501 and transmitter 503 . Receiver 501 and transmitter 503 may be the same element, a transceiver, providing a means for communicating with various other devices over a transmission medium. The processor 502 is responsible for managing the bus 500 and general processing, while the memory 504 may be used to store data used by the processor 502 in performing operations.

Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, implements the steps of any one of the aforementioned commodity image processing methods.

The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. It should be understood that various programming languages may be used to implement the inventions described herein, and that the descriptions of specific languages above are intended to disclose the best mode for carrying out the invention.

In the description provided herein, numerous specific details are set forth. It will be understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it is to be understood that in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together into a single embodiment, figure, or its description. This disclosure, however, should not be construed as reflecting an intention that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the Detailed Description are hereby expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will understand that the modules in the device in the embodiment can be adaptively changed and arranged in one or more devices different from the embodiment. The modules or units or components in the embodiments may be combined into one module or unit or component, and further they may be divided into multiple sub-modules or sub-units or sub-assemblies. All features disclosed in this specification (including accompanying claims, abstract and drawings) and any method so disclosed may be employed in any combination, unless at least some of such features and/or procedures or elements are mutually exclusive. All processes or units of equipment are combined. Each feature disclosed in this specification (including accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, it will be understood by those skilled in the art that although some of the embodiments herein include certain features, but not others, included in other embodiments, that combinations of features of the different embodiments are intended to be within the scope of the present invention And form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

Various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all functions of some or all of the gateways, proxy servers, and systems according to embodiments of the present invention. The present invention can also be implemented as apparatus or apparatus programs (eg, computer programs and computer program products) for performing part or all of the methods described herein. Such a program implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such signals may be downloaded from Internet sites, or provided on carrier signals, or in any other form.

It should be noted that the above-described embodiments illustrate rather than limit the invention, and that alternative embodiments may be devised by those skilled in the art without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. do not denote any order. These words can be interpreted as names.

The above are only preferred embodiments of the present invention and are not intended to limit the protection scope of the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention shall be included in the within the protection scope of the present invention.

The present invention provides, A1. a commodity image processing method, the method comprises:

Obtain a product image and a dynamic effect image in png format, wherein the dynamic effect image includes multiple frames of static images;

According to the sorting of the multi-frame static images, pixel fusion is performed on each frame of the static image and the commodity image in the png format in turn to obtain a sorted multi-frame commodity fusion image;

Combining the sorted multi-frame commodity fusion pictures according to the ordering to obtain a commodity dynamic effect picture.

A2. The method further includes:

Get product images;

Determine whether the commodity image is a commodity image in png format;

When the commodity image is not a commodity image in png format, the commodity image is converted into a commodity image in png format.

A3. According to the sorting of the multi-frame static images, perform pixel fusion of each frame of the static image and the commodity image in the png format in turn to obtain a sorted multi-frame commodity fusion image, including:

When performing pixel fusion of each frame of static image and the commodity image in png format in sequence, for each frame of static image, obtain the mapping between each pixel in the static image of the frame and the corresponding pixel in the commodity image in png format relation;

According to the mapping relationship, the pixel value of each pixel in the commodity image in png format is replaced with the pixel value of each pixel in the static image of the frame to obtain a commodity fusion map in png format sorted by multiple frames.

A4. The described sequenced multi-frame commodity fusion pictures are synthesized into commodity motion pictures, including:

GIF encoding is performed on the multi-frame commodity fusion pictures according to the sequence, so as to obtain a commodity dynamic effect picture in gif format.

A5. the method also includes:

Perform a pixel deduplication operation on the sorted multi-frame commodity fusion images to obtain a background image and a plurality of foreground images;

The background image and the plurality of foreground images are stored.

A6. Perform pixel deduplication operation on the sorted multi-frame commodity fusion images to obtain background images and multi-frame foreground images, including:

Using the first frame of the commodity fusion diagram in the sorted multi-frame commodity fusion diagram as a background image;

Perform a background difference operation on the Nth frame of the commodity fusion map in the sorted multi-frame commodity fusion map and the background image to obtain a foreground image, where N≥2, the multi-frame commodity fusion map correspondingly obtains multi-frame foregrounds image.

A7. The method further includes: playing the dynamic effect picture of the product at a set speed.

B8. A commodity image processing device, the device comprising:

an image acquisition module for acquiring commodity images and dynamic effect images in png format, wherein the dynamic effect images include multiple frames of static images;

a fusion module, configured to perform pixel fusion of each frame of static image and the commodity image in png format in turn according to the sorting of the multi-frame static images to obtain a sorted multi-frame commodity fusion image;

A commodity dynamic effect map generation module is used for combining the sorted multi-frame commodity fusion maps in order to obtain a commodity dynamic effect map.

B9. The device also includes:

Get the product image module, which is used to obtain the product image;

a judging module for judging whether the commodity image is a commodity image in png format;

The image conversion module is configured to convert the product image into a png format product image when the product image is not a png format product image.

B10. The fusion module includes:

Obtaining a mapping relationship unit for obtaining each pixel in the static image of the frame and the commodity image in the png format for each frame of the static image when pixel fusion is performed on the static image of each frame and the commodity image in the png format in turn. The mapping relationship between the corresponding pixels in ;

The pixel fusion unit is used to replace the pixel value of each pixel in the commodity image in the png format with the pixel value of each pixel in the static image of the frame according to the mapping relationship, and obtain a multi-frame sorted png format. Commodity Fusion Chart.

B11. The module for generating dynamic effect map of commodities is used for:

GIF encoding is performed on the multi-frame commodity fusion pictures according to the sequence, so as to obtain a commodity dynamic effect picture in gif format.

B12. The device also includes:

a pixel deduplication module for performing pixel deduplication operation on the sorted multi-frame commodity fusion images to obtain a background image and a plurality of foreground images;

A storage module, configured to store the background image and the plurality of foreground images.

B13. The pixel deduplication module includes:

Determining a background image unit for taking the first frame of the commodity fusion map in the sorted multi-frame commodity fusion map as a background image;

The pixel deduplication unit is used to perform a background difference operation on the Nth frame of the commodity fusion map in the sorted multi-frame commodity fusion map and the background image to obtain a foreground image, where N≥2, multi-frame commodity The fusion map corresponds to obtaining multiple frames of foreground images.

B14. The device also includes:

The playing module is used for playing the dynamic effect picture of the product according to the set speed.

C15. A computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the steps of the method of any one of claims A1-A7.

D16. An electronic device, comprising a memory, a processor and a computer program stored on the memory and running on the processor, when the processor executes the program, the method of any one of claims A1-A7 is implemented step.

Claims (10)

1. A commodity image processing method, wherein the method comprises: Obtain a product image and a dynamic effect image in png format, wherein the dynamic effect image includes multiple frames of static images; According to the sorting of the multi-frame static images, pixel fusion is performed on each frame of the static image and the commodity image in the png format in turn to obtain a sorted multi-frame commodity fusion image; Combining the sorted multi-frame commodity fusion pictures according to the ordering to obtain a commodity dynamic effect picture. 2. The commodity image processing method according to claim 1, wherein the method further comprises: Get product images; Determine whether the commodity image is a commodity image in png format; When the commodity image is not a commodity image in png format, the commodity image is converted into a commodity image in png format. 3. The commodity image processing method according to claim 1, wherein, according to the sorting of the multi-frame static images, pixel fusion is performed on each frame of the static image and the commodity image in the png format in turn to obtain the sorted multi-frame images. Frame commodity fusion map, including: When performing pixel fusion of each frame of static image and the commodity image in png format in turn, for each frame of static image, obtain the mapping between each pixel in the static image of the frame and the corresponding pixel in the commodity image in png format relation; According to the mapping relationship, the pixel value of each pixel in the png format commodity image is replaced with the pixel value of each pixel point in the static image of the frame, and a multi-frame sorted png format commodity fusion map is obtained. 4. The commodity image processing method according to claim 1, wherein the synthesizing the sorted multi-frame commodity fusion pictures into a commodity dynamic effect picture comprises: GIF encoding is performed on the multi-frame commodity fusion pictures according to the sequence, so as to obtain a commodity dynamic effect picture in gif format. 5. commodity image processing method as claimed in claim 1, is characterized in that, described method also comprises: Perform a pixel deduplication operation on the sorted multi-frame commodity fusion images to obtain a background image and a plurality of foreground images; The background image and the plurality of foreground images are stored. 6. The commodity image processing method according to claim 5, wherein, performing a pixel deduplication operation on the sorted multi-frame commodity fusion images to obtain a background image and a multi-frame foreground image, comprising: Using the first frame of the commodity fusion diagram in the sorted multi-frame commodity fusion diagram as a background image; Perform a background difference operation on the Nth frame of the commodity fusion map in the sorted multi-frame commodity fusion map and the background image to obtain a foreground image, where N≥2, the multi-frame commodity fusion map correspondingly obtains multi-frame foregrounds image. 7. The commodity image processing method according to any one of claims 1-6, wherein the method further comprises: playing the commodity dynamic effect image at a set speed. 8. A product image processing device, wherein the device comprises: an image acquisition module for acquiring commodity images and dynamic effect images in png format, wherein the dynamic effect images include multiple frames of static images; a fusion module, configured to perform pixel fusion of each frame of static image and the commodity image in png format in turn according to the sorting of the multi-frame static images to obtain a sorted multi-frame commodity fusion image; A commodity dynamic effect map generation module is used for combining the sorted multi-frame commodity fusion maps in order to obtain a commodity dynamic effect map. 9. A computer-readable storage medium on which a computer program is stored, characterized in that, when the program is executed by a processor, the steps of the method according to any one of claims 1-7 are implemented. 10. An electronic device, characterized in that it comprises a memory, a processor, and a computer program stored in the memory and running on the processor, wherein any one of claims 1-7 is realized when the processor executes the program the steps of the method.