Abstract: An object virtualization processing method and device, an electronic device and a storage medium, the method comprising: acquiring and displaying a virtual entity model which is constructed according to an actual object and which has editable external features (S101); constructing a virtual scenario that corresponds to an actual scenario and that is acquired by a terminal device according to the real scenario (S102); projecting the virtual entity model into the virtual scenario (S103); and receiving an editing operation for the editable external features of the virtual entity model, adjusting the virtual entity model according to the editing operation to obtain an adjusted virtual entity model, and displaying the adjusted virtual entity model in the virtual scenario (S104).

Abstract: Disclosed are a method and device for recognizing a video. One specific embodiment of the method comprises: obtaining a video to be identified; inputting said video to a pre-trained local and global representation propagation LGD model to obtain the category of said video, wherein the LGD model learns a spatial-temporal representation in said video based on diffusion between local and global representations. According to this embodiment, the spatial-temporal representation in the video is learned based on diffusion between the local and global representations.

Abstract: The migration method includes dividing each service system in a first cloud system into a plurality of modules; determining the relation between a module to be migrated among the plurality of modules and other modules; copying said module among the plurality of modules to a second cloud system, the type of the first cloud system being different from that of the second cloud system; and establishing a relation in the second cloud system to complete the migration of the first cloud system. The nature and gist of the present disclosure is that the migration of a module to be migrated in the first cloud system is completed by establishing the association relation of the module to be migrated in the second cloud system.

Abstract: A screen unlocking method and apparatus, and a computer device and a storage medium. The method comprises: obtaining interactive information generated when a user performs a predetermined operation; dynamically updating the generated interactive information to a pre-built interactive information database; upon receiving a screen unlocking request, invoking first interactive information in the database according to a first predetermined mode; generating an unlock tag according to said first interactive information; generating, according to the unlock tag, multiple interference tags that are different from the unlock tag; and sending the unlock tag and the multiple interference tags to a terminal device for display, receiving a user's operation for triggering the unlock tag, and unlocking a screen.

Abstract: Disclosed in embodiments of the present disclosure are a method and apparatus for virtual fitting. A specific implementation of the method comprises: receiving a fitting request comprising a model picture and a user image; performing human body positioning and surface coordinate analysis on the model picture and the user image respectively; performing clothing segmentation on the model picture and the user image respectively; on the basis of the clothing segmentation result and the surface coordinate analysis result, covering the pixels corresponding to a piece of clothing in the model picture to corresponding positions in the user image to obtain a synthesized image and information to be completed; and inputting the synthesized image, the positioning result of the user image, and said information into a pre-trained image completion network to obtain a completed image.

Abstract: An item recall method includes: behavior data is acquired, where the behavior data includes items and item information of each item; target behavior data containing a retrieval category word is extracted from the behavior data; retrieval words of each item and a retrieval frequency of each retrieval word are acquired in a reverse correlation manner; word segmentation is performed on the item information to obtain multiple item segmented words; a similarity between all retrieval words and the multiple item segmented words is calculated; whether the similarity is greater than a first preset threshold or not is determined, and if yes, then a retrieval word is extracted as an expansion word of the retrieval category word; and item recall is performed according to the retrieval category word and the expansion word.

Abstract: The verification method includes: acquiring a value of at least one type of to-be-verified configuration information of a hardware device of a user; generating to-be-verified information of the user according to the value of the to-be-verified configuration information; and comparing the to-be-verified information with stored identity verification information of the user to verify identity of the user.

Abstract: The present disclosure relates to a speech synthesis method and device, and a computer-readable storage medium, and relates to the field of computer technology. The method of the present disclosure includes: dividing a text into a plurality of segments according to a language category to which each of the segments belongs; converting each of the segments into a phoneme corresponding to the segment to generate a phoneme sequence of the text according to the language category to which each of the segments belongs; inputting the phoneme sequence into a speech synthesis model trained in advance and converting the phoneme sequence into a vocoder characteristic parameter; and inputting the vocoder characteristic parameter into a vocoder to generate a speech.

Abstract: The present disclosure provides a self-service settlement method, apparatus and storage medium, and relates to the technical field of self-service shopping, wherein the method includes: obtaining a monitoring image acquired by an image capture device and corresponding to commodities to be settled which are placed on a settlement counter; obtaining information of the commodities to be settled through image recognition; obtaining a first weight acquired by a weight detection device, obtaining a second weight based on the information of the commodities to be settled, judging whether the information of the commodities to be settled is matched with commodities to be confirmed according to a weight comparison result; and obtaining purchased commodity settlement information under the condition that the information of the commodities to be settled is matched with the commodities to be confirmed, and performing checkout processing.

Abstract: The present disclosure provides a method for acquiring an item placing state, including: sending an acquisition request, wherein the acquisition request includes one or more association relationships, each of the association relationships includes an association relationship between a hot zone and a camera equipment, and one hot zone corresponds to one kind of item; and receiving a placing state of an item corresponding to at least one hot zone, wherein the placing state of the item corresponding to the at least one hot zone is determined according to a current image and a standard image of the at least one hot zone in response to the acquisition request. The present disclosure further provides a processing method, a system for acquiring an item placing state and a processing system.

Abstract: A method and an apparatus for updating a cloud platform are provided. The method may include: in response to receiving a cloud platform update request, acquiring to-be-used updating cluster gene information corresponding to the cloud platform update request, wherein the to-be-used updating cluster gene information is structured information that completely represents information of components in a cloud platform container cluster; updating a standard cloud platform gene library according to a comparison result between the to-be-used updating cluster gene information and cluster gene information of a current standard cloud platform, wherein the standard cloud platform is a unified cloud platform on which a customer-specific cloud platform is deployed; and determining, according to an updated standard cloud platform gene library, a hardware resource of a final standard cloud platform and a software resource of the final standard cloud platform.

Abstract: This disclosure relates to a data storage management method and apparatus, and a computer-readable storage medium, and to the technical field of data storage. The method of the present disclosure includes: acquiring the number of accesses of a data storage unit in a big data cluster within a corresponding preset time interval; determining whether the data storage unit belongs to a to-be-destroyed storage unit according to the number of accesses of the data storage unit in the corresponding preset time interval; and issuing a to-be-destroyed prompt under the condition that the data storage unit belongs to a to-be-destroyed storage unit.

Abstract: A method and an apparatus for updating a cloud platform are provided. The method may include: in response to receiving an update request, acquiring cluster gene information of a to-be-updated cloud platform corresponding to the update request, the cluster gene information being structured information that entirely represents information of each component in a cloud platform container cluster; determining, on the basis of the cluster gene information, each target component of the to-be-updated cloud platform corresponding to the cluster gene information and a level to which each target component belongs; updating each target component, on the basis of the level to which each target component belongs and the cluster gene information of the corresponding target component; and determining a hardware resource of the to-be-updated cloud platform and a software resource of the to-be-updated cloud platform, based on all of the updated target components.

Abstract: The present disclosure provides a method for acquiring an item placing state, including: sending an acquisition request, wherein the acquisition request includes one or more association relationships, each of the association relationships includes an association relationship between a hot zone and a camera equipment, and one hot zone corresponds to one kind of item; and receiving a placing state of an item corresponding to at least one hot zone, wherein the placing state of the item corresponding to the at least one hot zone is determined according to a current image and a standard image of the at least one hot zone in response to the acquisition request. The present disclosure further provides a processing method, a system for acquiring an item placing state and a processing system.

Abstract: The present disclosure provides a pedestrian re-identification method and apparatus. The pedestrian re-identification apparatus detects a pedestrian to be identified in a specified video frame, and within a specified time period before the capture time of the specified video frame, extracts all pedestrians appearing in the captured video frame and taking them to be historical pedestrians; calculating the feature distances between the pedestrian to be identified and the historical pedestrians; in order of feature distance, from small to large, extracting historical pedestrian identifications corresponding to a predetermined number of feature distances, and clustering the extracted historical pedestrian identifications so as to re-identify the pedestrians to be identified. The present disclosure effectively suppresses external noise interference and improves the success rate of pedestrian re-identification.

Abstract: Embodiments of the present invention disclose an information processing method. The method comprises: receiving an acquisition request sent by a terminal for acquiring an image to be displayed, wherein the acquisition request carries an identifier of the image, and the image comprises a first object to be displayed and a second object to be displayed; acquiring, on the basis of the acquisition request, the image corresponding to the identifier, and performing identification on the image to obtain a first image region and a second image region, wherein the first image region comprises the first object, and the second image region comprises the second object; and determining a sending order, and sequentially sending, according to the sending order, the first image region and the second image region to the terminal. Also disclosed by the embodiments of the present invention are a server, a terminal, and a computer storage medium.

Abstract: Provided are an information recommendation method and apparatus. According to historical data, an information recommendation apparatus identifies a pair of matching items so as to determine a cross-category relationship of items; the item cross-category relationship is used to construct item match contexts; an item context portrait and a user context portrait are used to sort the match contexts; the items in the match contexts are sorted according to the feedback behavior of the user concerning the items in the match contexts; the sorted match contexts are recommended to the user.

Abstract: The invention, which discloses a method and a system for identifying a core product term, relates to the technical field of computers.

Abstract: The present disclosure relates to an information sending method, apparatus, system and a computer readable storage medium, and pertains to the technical field of computers. The method in the present disclosure includes: analyzing video data of an offline user to determine an attribute of the offline user; searching for historical access information of at least one online user matching the attribute of the offline user; and determining at least one object recommended to the offline user according to the historical access information of each of the at least one online user, and sending information of the at least one object to the offline user.

Abstract: A method for generating a map. The method comprises: acquiring current position information (302) of a target device (301) and a pre-generated electronic map (304), wherein the central position of the electronic map (304) is the position represented by position information of the target device (301) and acquired when or before the electronic map (304) is generated; and in response to the determination that a current position (302) represented by the current position information (302) meets pre-set adjustment conditions, using a new thread to execute the following adjustment steps to generate an adjusted electronic map (306): generating a new electronic map (305) with the current position (302) as the central position and adjusting the pre-generated electronic map (304) according to the new electronic map (305).