Abstract: A program testing method is provided. The method includes receiving a test account adding instruction the test account adding instruction identifying a second test account, acquiring a first target code corresponding to a target program in response to the test account adding instruction, the first target code corresponding to a first page, a first test account being logged in on the first page, and the first page being generated according to the first target code, generating a second page corresponding to the second test account according to the first target code, and interacting through the first page and the second page to test the target program. Apparatus and computer-readable medium counterpart embodiments are also provided.

Abstract: A data processing method includes: obtaining a to-be-detected text, and determining a context word set and a candidate substitute word set corresponding to a to-be-detected word in the to-be-detected text to be inputted into a pronoun resolution neural network for feature extraction; performing positive-example iteration processing and negative-example iteration processing on the features corresponding to the context word set and the candidate substitute word set, to obtain a positive-example feature vector length and a negative-example feature vector length, and calculating a substitute probability corresponding to each candidate substitute word in the candidate substitute word set according to the positive-example feature vector length and the negative-example feature vector length; determining a target substitute word according to the substitute probability corresponding to the each candidate substitute word; and inserting the target substitute word into the to-be-detected text according to a position corr

Abstract: A medical image processing method includes: obtaining a biological tissue image including a biological tissue, recognizing, in the biological tissue image, a first region of a lesion object in the biological tissue; recognizing a lesion attribute matching the lesion object; dividing an image region of the biological tissue in the biological tissue image into a plurality of quadrant regions; obtaining target quadrant position information of a quadrant region in which the first region is located; and generating medical service data according to the target quadrant position information and the lesion attribute.

Abstract: Disclosed is a data synchronization method performed by a computer device, the method including: receiving a piece of transaction data, the piece of transaction data carrying an update operation identifier and a predefined phrase corresponding to the update operation identifier; obtaining, in a case that a target block including the piece of transaction data is stored into a blockchain of a blockchain system, the update operation identifier and the predefined phrase in the target block; and updating a predefined phrase database according to the update operation identifier and the predefined phrase in the target block.

Abstract: A method for adding a map element is provided. In the method, a name of a layer to which a map element to be added by a target application program belongs, display follow information of the map element in the layer, and weather impact information of the map element are generated. A preform of the map element is generated in a target folder. Further, code configured to update the map element. The code indicates a storage position of the preform of the map element and display state information of the map element being displayed in the layer. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: This application discloses an image processing method, device, and apparatus, and a storage medium. The method is performed by a computing device, the method including: receiving an input image; determining a context feature of the input image; determining a first feature set and a second feature set according to the context feature and based on a size of a target image and a location of the input image in the target image; adjusting the second feature set according to a first feature statistic of the first feature set, to obtain an adjusted second feature set; and generating the target image based on the adjusted second feature set and the first feature set.

Abstract: In an information processing method, a first key frame is obtained. The first key frame includes initial posture data of a target virtual character. The initial posture data corresponds to an initial posture. Target posture data of the target virtual character is determined by inputting the initial posture data and a target task to a policy network trained by reinforcement learning. The target task is set for the target virtual character to perform. An output of the policy network indicates the target posture data that corresponds to a target posture of the target virtual character. At least one force to be acted on at least one first joint of the target virtual character is determined according to the initial posture data and the target posture data. The initial posture of the target virtual character is adjusted to the target posture by applying the at least one force.

Abstract: In a display method, a first picture of a first game mode is displayed in a first display area of a video game interface. A request to play a first video of the first game mode is received via the video game interface. The first video is played in the first display area in response to the request to play the first video, the first video including instructional pictures of the first game mode.

Abstract: Example embodiments provide a multimedia data processing method and apparatus, a computer device, a computer-readable storage medium, and a computer program product. The method includes: obtaining a global reference data block set and a local reference data block set, the global reference data block set and the local reference data block set being associated with a first data block in a multimedia data frame, the global reference data block set including a coded data block having no adjacent relationship with the first data block in the multimedia data frame, and the local reference data block set including a coded data block having an adjacent relationship with the first data block in the multimedia data frame; and determining a reference data block for coding or decoding of the first data block from the global reference data block set and the local reference data block set.

Abstract: An artificial intelligence-based molecule processing method including obtaining a three-dimensional structure of a target molecule, calling a neural network model to perform energy error prediction processing on the three-dimensional structure of the target molecule to obtain an energy error of the target molecule; the neural network model being trained by fitting an energy error of a sample molecule, performing the first energy computation processing on the three-dimensional structure of the target molecule to obtain first energy of the target molecule; and performing error correction processing on the first energy of the target molecule based on the energy error of the target molecule to obtain second energy of the target molecule.

Abstract: In a data processing method, storage instance mapping information is obtained based on database configuration information of a blockchain node. The storage instance mapping information indicates data mapping relationships between a plurality of database instances and data types of the plurality of database instances. At least one candidate database instance is determined from the plurality of database instances when to-be-stored blockchain data is received. The data type of each of the at least one candidate database instances is matched with a data type of the blockchain data. The blockchain data is stored to a first database instance of the at least one candidate database instance based on a data sharding strategy in the database configuration information.

Abstract: An audio acquisition device positioning method is provided. In the method, a first image that includes an audio acquisition device is obtained. The audio acquisition device in the first image is identified. First coordinate data of the identified audio acquisition device in the first image is obtained. First displacement data is determined according to the first coordinate data and historical coordinate data of the audio acquisition device. First coordinates of the audio acquisition device are determined according to the first displacement data.

Abstract: The present disclosure provides a viewing angle adjustment method and device, an electronic device, and a non-transitory computer-readable storage medium, and belongs to the field of computer technologies. The method includes determining an adsorption area of a first virtual object in a virtual scenario according to a distance between the first virtual object and a second virtual object, a size of the adsorption area being positively correlated with the distance between the first virtual object and a second virtual object. In response to an aiming point of the second virtual object being located in the adsorption area, the method includes obtaining a target rotation speed of a viewing angle of the virtual scenario. The method also includes adjusting the viewing angle of the virtual scenario according to the target rotation speed of the viewing angle.

Abstract: A data processing method and apparatus, a computer device, a readable storage medium, and a computer program product are provided. The method includes: displaying a shot picture in a shooting interface, the shot picture being captured by a shooting component and including a target object; displaying a first virtual rendering area of the target object in the shooting interface in response to a first trigger operation for the target object in the shooting interface; and displaying media data in the first virtual rendering area, the media data being associated with an object classification of the target object.

Abstract: A transfer request is received from a terminal, in which the transfer request carries a user identity (ID) of a first user, a user ID of a second user, and a virtual card ID of the first user; the virtual card is transferred from user account of first user to user account of second user, based on the user ID of the first user, the user ID of the second user and the virtual card ID; an image for transferring the virtual card is obtained; an image library of the virtual card is obtained; an image ID and the image are stored into the image library of the virtual card.

Abstract: The disclosure provides a target detection method and apparatus, a model training method and apparatus, a device, and a storage medium. The target detection method includes: obtaining a first image; obtaining a second image corresponding to the first image, the second image belonging to a second domain; and obtaining a detection result corresponding to the second image through a cross-domain image detection model, the detection result including target localization information and target class information of a target object, the cross-domain image detection model including a first network model configured to convert an image from a first domain into an image in the second domain, and the second network model configured to perform region localization on the image in the second domain.

Abstract: Embodiments of the disclosure disclose a network slice processing method, system, and device, and a storage medium. The method is applicable to a network management system, and includes: virtualizing functions of a mobile communication network to obtain a plurality of isolated logical subnetworks, and using each logical subnetwork as a network slice; generating a slice-level quality of service (QoS) parameter for each network slice, the slice-level QoS parameter being used by the network management system to instruct a slice processing device to control a first resource corresponding to the network slice; and transmitting the slice-level QoS parameter to the slice processing device.

Abstract: An attribute value restoration method and apparatus, a storage medium, and an electronic device are provided. The method includes: obtaining a current attribute value of a life attribute of a first object in a virtual scene displayed by a client; based on a determination that the current attribute value is a first threshold, controlling a target attribute of the first object to become effective, the target attribute having an attribute value in a preset range, and controlling the attribute value of the target attribute to start to decrease in the preset range; and restoring the attribute value of the life attribute of the first object to a third threshold based on a determination that a target operation triggered by using the client is completed before the attribute value of the target attribute decreases to a second threshold in the preset range, the third threshold being greater than the first threshold.

Abstract: This application discloses a video decoding method, a video encoding method, and related apparatuses. The method includes: determining a current video frame; obtaining, from video frames that have been decoded, an energy parameter of an MV in a reference frame associated with the current video frame, the energy parameter including at least one of the following: an average value of the MV and a variance of the MV; determining, according to the energy parameter, a target resolution used for decoding the current video frame; and decoding the current video frame by using the target resolution. In this application, the technical problem of relatively low video encoding and decoding efficiency caused by complex processing operations in the related art is resolved.

Abstract: A method for determining motion information is provided to be executed by a computing device. The method includes: determining a first image and a second image, the first image and the second image each including an object; determining a first pixel region based on a target feature point on the object in the first image; determining a second pixel region according to a pixel difference among a plurality of first pixel points in the first pixel region and further according to the target feature point; and obtaining motion information of the target feature point according to the plurality of second pixel points and the second image, the motion information being used for indicating changes in locations of the target feature point in the first image and the second image.