Abstract: An image processing method, apparatus, and device, and a storage medium are provided. The method is performed by a computing device, and includes: determining a first image feature of a first size of an input image, the first image feature having at least two channels; performing weight adjustment on each channel in the first image feature by using a first weight adjustment parameter, to obtain an adjusted first image feature, the first weight adjustment parameter including at least two parameter components, and each parameter component being used for adjusting a pixel of a channel corresponding to each parameter component; downsampling the adjusted first image feature to obtain a second image feature having a second size; combining the first image feature and the second image feature to obtain a combined image feature; and determining an image processing result according to the combined image feature.

Abstract: Embodiments of the present disclosure relate to the field of network technologies, including a resource transfer method and apparatus and a storage medium. The method includes: storing a graphic code in the specified application client, the graphic code being sent by a specified server when a network is already connected, the graphic code including a user identifier used by the specified application client to log in to the specified server, and the graphic code being obtained by the specified server from a third-party server accessed by an interface of the specified server, and presenting a stored graphic code when detecting a graphic code calling operation.

Abstract: A device control method is described. A processing circuitry of a device obtains a first message that is indicated as from a first device associated with a first device identifier in an instant messaging group and determines, according to the first message, control-related information corresponding to at least a second device associated with a second device identifier in the instant messaging group. The processing circuitry further generates, according to the control-related information, a device control command corresponding to the second device, transmits the device control command to the second device, and receives a second message that is sent by the second device. The second message includes a device control command execution result regarding the second device executing the device control command.

Abstract: This application discloses a method for controlling a virtual object to drop a virtual item in a virtual environment performed at a terminal, relating to the field of computers. The method includes: displaying an icon corresponding to at least one type of virtual items possessed by a virtual object and a partial-drop region; receiving a first drag operation, the first drag operation being used for dragging target virtual items from the icon corresponding to the at least one type of virtual items to the partial-drop region, a possession quantity corresponding to the target virtual items being n, n being an integer greater than 1; dragging target virtual items from the icon corresponding to the at least one type of virtual items to; and controlling the virtual object according to the first drag operation to drop a predefined number of the n target virtual items.

Abstract: Embodiments of this application disclose an object control method performed by an electronic device. The method includes: detecting a first operation triggered in a client, the client displaying a virtual scene, and the first operation being used for instructing a target object in the virtual scene to move from one side of a target obstacle to the other side of the target obstacle; determining a target action to be performed by the target object, the target action being determined according to attributes of the target obstacle, and the target action being a crossing type or climbing type action performed by the target object to move from one side of the target obstacle to the other side of the target obstacle; and controlling, in the virtual scene, the target object to perform the target action.

Abstract: This application discloses a neural network-based QEC decoding method. The method includes: obtaining error syndrome information of a quantum circuit; performing block feature extraction on the error syndrome information by using a neural network decoder, to obtain feature information; and performing fusion decoding processing on the feature information by using the neural network decoder, to obtain error result information, the error result information being used for determining a data qubit in which an error occurs in the quantum circuit and a corresponding error type. In this application, a block feature extraction manner is used, a quantity of channels of feature information obtained by each feature extraction is reduced, and inputted data of next feature extraction is reduced, which reduces a quantity of feature extraction layers in a neural network decoder. Therefore, a decoding time used by the neural network decoder is reduced, thereby achieving real-time error correction.

Abstract: The present disclosure provides a collision judgment method and apparatus. The method includes: determining, by a moving device, according to acceleration data collected by an acceleration sensor, that the moving device collides; sending collision information to the corresponding control device, including at least a moving device identifier and a collision time; sending, by the corresponding control device, the collision information to a collision judgment device; detecting, by the collision judgement device, whether at least two collision information sent by the at least two control devices is received within a predetermined time interval; when the at least two collision information is received within the predetermined time interval, and a difference between collision times carried in the at least two collision information is less than a preset threshold, determining that moving devices corresponding to moving device identifiers carried in the at least two collision information collided with one other.

Abstract: Embodiments of this application disclose a permission verification method, and related apparatuses. In the embodiments of this application, a permission operation request is received by a first node device in a blockchain from a client, and the permission operation request is forwarded to a second node device in the blockchain; a first contract execution result is obtained according to the permission operation request; a second contract execution result broadcasted by the second node device is received based on the permission operation request; and the user permission verification is determined to succeed in a case that the first contract execution result is consistent with the second contract execution result. This solution implements decentralized permission verification based on a blockchain permission management contract system, thereby improving the data security.

Abstract: Embodiments of the present disclosure disclose a live streaming method and system, a server, and a computer storage medium. The method includes: providing, by a first end for information interaction, a first audio/video live stream for a server, and providing, by a second end for information interaction, a second audio/video live stream for the server. The method further includes performing, by the server, coding and processing on the first audio/video live stream and the second audio/video live stream, to obtain a third audio/video live stream, and pushing the third audio/video stream to a third end for information interaction; and receiving, by the third end, audio/video content of the first end and the second end according to the third audio/video live stream.

Abstract: A method and an apparatus includes prompting that a virtual object is attacked. The method includes: displaying a user interface (UI) including a target virtual object located in a virtual environment. A being-attacked direction of the target virtual object is obtained. A display position of the being-attacked direction prompt information is obtained according to the being-attacked direction. The being-attacked direction prompt information is used for indicating the being-attacked direction. The being-attacked direction prompt information is displayed in the UI according to the display position. The being-attacked direction is prompted, and content of the being-attacked prompt is diversified.

Abstract: An apparatus including processing circuitry and a method are described. When receiving a cross-chain transaction request to transfer a resource from a first account to a second account, the processing circuitry is configured to generate a task corresponding to the first account. The task can indicate conditions for implementing events in transferring the resource. A first blockchain system provides services for the first account, and a second blockchain system different from the first blockchain system provides services for the second account. The processing circuitry transfers the resource to the second account based on the task when a first plurality of first nodes in the first blockchain system reaches a consensus on a generation event of the task and updates a task status of the task to being finished when a plurality of second nodes in the second blockchain system reaches a consensus on a transfer event of the resource.

Abstract: An animated emoticon generation method, a computer-readable storage medium, and a computer device are provided. The method includes: displaying an emoticon input panel on a chat page; detecting whether a video shooting event is triggered in the emoticon input panel; acquiring video data in response to detecting the video shooting event; obtaining an edit operation for the video data; processing video frames in the video data according to the edit operation to synthesize an animated emoticon; and adding an emoticon thumbnail corresponding to the animated emoticon to the emoticon input panel, the emoticon thumbnail displaying the animated emoticon to be used as a message on the chat page based on a user selecting the emoticon thumbnail in the emoticon input panel.

Abstract: Embodiments of this application provide a data synchronization method and apparatus in a distributed system, a computer-readable medium, and an electronic device. The method includes: obtaining historical data synchronization information of adjacent nodes connected to a target node and determining selection weight values of the adjacent nodes according to the historical data synchronization information. The selection weight values are used for measuring efficiency of the adjacent nodes synchronizing data to the target node to select, according to the selection weight values of the adjacent nodes, a target adjacent node for synchronizing data to the target node. Target data is synchronized from the selected target adjacent node with the target node.

Abstract: The present application discloses an information processing method performed at a computing device. The method includes: collecting first information; executing an intent identification task on the first information to obtain an intent identification processing result; executing a slot identification task on the first information according to the intent identification processing result to obtain a slot identification processing result; and outputting a target result according to the slot identification processing result.

Abstract: The present disclosure describes a three-dimensional object segmentation method and device, and medium, and relates to the field of computer vision (CV) technologies of an artificial intelligence (AI) technology. The method includes obtaining, by a device, a point cloud of a three-dimensional object. The device includes a memory storing instructions and a processor in communication with the memory. The method includes determining, by the device, three scaling directions of the point cloud; scaling, by the device, positions of points in the point cloud along the three scaling directions to obtain a scaled point cloud, so that the scaled point cloud has the same scale in the three scaling directions; and segmenting, by the device, the three-dimensional object based on the scaled point cloud to obtain a segmentation result.

Abstract: The present disclosure provides a security verification method and a relevant device, to increase the difficulty of cracking. The method includes: receiving, from a verification requester, a request for pulling a sliding verification code; acquiring the sliding verification code which includes a slider and a second endpoint image obtained by performing filter processing on a first endpoint image; and returning the sliding verification code to the verification requester. The first endpoint image and the slider are generated from the same original image, and the slider and the second endpoint image are returned to the verification requester finally. The second endpoint image is obtained by performing image processing on the first endpoint image, and after the image processing, in an area outside the slider placement area, pixel values of pixels in the second endpoint image are different from pixel values of corresponding pixels in the original image.

Abstract: This application discloses a mini program production method performed at a terminal. The method includes: displaying a mini program production interface including a panel region and an editing region, the panel region being provided with n types of basic user interface (UI) elements, n being a positive integer; in response to receiving an editing operation on a target basic UI element, generating a program interface of the mini program by editing, in the editing region, one or more target basic UI elements, the target basic UI element being selected from the n types of basic UI elements; generating a program package of the mini program according to the program interface; and in response to receiving a preview operation, transmitting the program package of the mini program to the host application program for execution.

Abstract: An information processing method is provided for a terminal device. The method includes obtaining an image including an AR target; recognizing the AR target, and generating a virtual scene including N virtual objects (N being an integer greater than or equal to 2); disassembling the virtual scene to obtain the N virtual objects; and generating object information that separately corresponds to the N virtual objects, which include a target virtual object to be interacted with by a user. The method also includes keeping the object information of virtual objects other than the target virtual object in the N virtual objects unchanged and updating the object information of the target virtual object in response to receiving an operation instruction inputted by the user for the target virtual object, such that the target virtual object is interacted independently rather than the virtual scene as whole by the user.

Abstract: This application provides an additional object display method, an additional object display apparatus, and a computer device, and relates to the field of computer application technologies. The method includes: displaying a trigger control in a video playback interface; pausing playback of a video in response to an activation operation on the trigger control, and displaying a reference picture frame; obtaining a target object in the reference picture frame in response to a drag operation on the trigger control; and displaying, corresponding to the target object, an additional object corresponding to the trigger control in a picture frame of the video during playback of the video, so that an additional object matches a video playback picture during playback of the video.

Abstract: This application relates to a target object detection method and apparatus, a non-transitory computer-readable storage medium, and a computer device. The method includes: obtaining a to-be-detected image; inputting the to-be-detected image into a target object detection model; generating, by the target object detection model, a prediction diagram corresponding to the to-be-detected image, the prediction diagram describing a relation degree to which pixels of the to-be-detected image belong to a target detection object; and performing region segmentation on the prediction diagram to obtain a target detection object region. In addition, a method and an apparatus for training an object detection model into the target object detection model, a non-transitory computer-readable storage medium, and a computer device are also provided.