Abstract: A computer device obtains a confocal microscopy image. The device determines a pinhole diameter of a first detector pinhole of a confocal microscope that is used to acquire the image. The pinhole diameter has an influence on a parameter of the image. The device obtains a target image processing model corresponding to the pinhole diameter of the first detector pinhole. The target image processing model is configured to improve the parameter of the image. The device causes the target image processing model to process the image to obtain a target image having the improved parameter.

Abstract: A data processing method includes: receiving a connection test packet transmitted by a first client; determining an access address of a second client contained in the connection test packet, and storing the access address of the second client; and transmitting, when a first address storage notification message transmitted by a second gateway is received while receiving a connection data packet transmitted by the first client to the second client, the connection data packet to the second client through the second gateway, so as to establish a communication connection between the first client and the second client according to the connection data packet.

Abstract: In an information display method in a virtual scene, the virtual scene of a first virtual object is displayed. A graphical representation of each of at least one second virtual object in the virtual scene is displayed based on the first virtual object being within a target region in the virtual scene and a view of each of the least one second virtual object being obstructed. The displayed graphical representation of each of the at least one second virtual object indicates a location of the respective second virtual object within the virtual scene.

Abstract: Some aspects of the disclosure provide a method of item recommendation. In some examples, a category of a to-be-recommended item is determined based on an item feature of the to-be-recommended item. An association parameter between the category of the to-be-recommended item and a first object is obtained. The association parameter represents an association level between the category of the to-be-recommended item and the first object. A recommendation evaluation parameter of the to-be-recommended item is calculated based on the association parameter and the category of the to-be-recommended item. Whether to recommend the to-be-recommended item to the first object is determined based on the recommendation evaluation parameter. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: A data processing method based on a blockchain network includes: transmitting a first data clearing request to a consensus node of the blockchain network and receiving claim data returned by the consensus node in response to the first data clearing request, the returned claim data being claim data associated with a holder node in the blockchain network obtained by clearing; generating identity presentation data of the holder node based on the claim data; determining a first visible node identification of a node having access to the identity presentation data; and storing the identity presentation data and the first visible node identification in a blockchain of the blockchain network.

Abstract: This application discloses a method for positioning a target audio signal by a computer device. The method includes: performing echo cancellation on the audio signals collected in a plurality of directions in a space, the audio signals comprising a target-audio direct signal; obtaining weights of a plurality of time-frequency points in the echo-canceled audio signals, a weight of each time-frequency point indicating a relative proportion of the target-audio direct signal in the echo-canceled audio signals at the time-frequency point; obtaining a weighted audio signal energy distribution of the audio signals in the plurality of directions by using the weights of the plurality of time-frequency points in the echo-canceled audio signals; and obtaining a sound source azimuth corresponding to the target-audio direct signal in the audio signals by using the weighted audio signal energy distribution of the audio signals in the plurality of directions.

Abstract: A concealed text feature corresponding to a text data block of a plurality of text data blocks included in the text data and at least one concealed text feature corresponding to at least one text data block subsequent to the text data block are generated. A coarse fusion is performed on (i) the concealed text feature corresponding to the text data block and (ii) the at least one concealed text feature corresponding to the at least one text data block subsequent to the text data block to obtain at least one coarse fusion text feature. A fine fusion is performed on the at least one coarse fusion text feature to obtain a fine fusion text feature corresponding to the text data block. A length corresponding to the fine fusion text feature is regulated. The fine fusion text feature with the regulated length is transformed into the acoustic feature.

Abstract: A virtual object control method includes: displaying a first virtual object located in a virtual environment (301); displaying one or more candidate object identifiers corresponding to one or more candidate virtual objects in the virtual environment in response to a moving operation on the first virtual object (302); and controlling, in response to a trigger operation on a target object identifier in the one or more candidate object identifiers, the first virtual object to automatically follow a target virtual object in the virtual environment (303).

Abstract: A speech enhancement method includes: determining a glottal parameter corresponding to a target speech frame according to a frequency domain representation of the target speech frame; determining a gain corresponding to the target speech frame according to a gain corresponding to a historical speech frame of the target speech frame; determining an excitation signal corresponding to the target speech frame according to the frequency domain representation of the target speech frame; and synthesizing the glottal parameter corresponding to the target speech frame, the gain corresponding to the target speech frame, and the excitation signal corresponding to the target speech frame, to obtain an enhanced speech signal corresponding to the target speech frame.

Abstract: The present disclosure provides a video decoding method. The method includes obtaining a bitstream that needs to be decoded, the bitstream that needs to be decoded comprising a current decoding block, the current decoding block using an intra string copy mode, and the current decoding block comprising a current string; determining a string length encoding resolution of the current string; decoding the bitstream that needs to be decoded to obtain an encoded string length corresponding to the current string; and obtaining a string length of the current string according to the string length encoding resolution of the current string and the corresponding encoded string length. The string length encoding resolution of the current string is at least one of the following: at least one preset value, each preset value being an integer pixel greater than or equal to 1, or a width or a height of the current decoding block.

Abstract: A data processing method includes: acquiring an initial sample angiography image set; performing data expansion processing on a first sample angiography image based on physical characteristics of blood vessels at a target site to obtain a processed sample angiography image, performing label conversion processing on a first label based on the physical characteristics of the blood vessels at the target site to obtain a second label of the processed sample angiography image, and adding the processed sample angiography image and the second label to a target sample angiography image set; and training an angiography image recognition model using the initial sample angiography image set and the target sample angiography image set to obtain a trained angiography image recognition model. The performance of the trained angiography image recognition model is improved by increasing the number of samples.

Abstract: An inter prediction method includes: determining, when a current prediction mode of a current prediction block is a preset prediction mode, a historical prediction mode corresponding to the current prediction block; acquiring adjacent block information about an adjacent block of the current prediction block, prediction sub-block information about a prediction sub-block, and a historical optimal reference frame type of the current prediction block in the historical prediction mode; generating a reference frame mask based on the historical optimal reference frame type, the adjacent block information, the prediction sub-block information, and a frame type corresponding to the current prediction block; and determining a reference frame of the preset prediction mode using the reference frame mask, and performing inter prediction on the current prediction block using the reference frame to obtain a prediction value corresponding to the current prediction block.

Abstract: This application discloses a block chain-based data processing method performed by a computer device, including: acquiring a pending transaction including a pending execution order identifier; adding, when determining that the pending transaction is in the prepared state, the pending transaction and the pending execution order identifier to the pending account ready queue to obtain a transitional account ready queue; using an execution order identifier that forms a continuous sequence of order identifiers with the pending execution order identifier as an upgraded execution order identifier in the pending account waiting queue, and adding the upgraded execution order identifier and a waiting transaction corresponding to the upgraded execution order identifier to the transitional account ready queue in sequence to obtain an upgraded account ready queue; and adding the pending transaction and the waiting transaction corresponding to the upgraded execution order identifier in the upgraded account ready queue to a

Abstract: Disclosed is a method for training an expression transfer model performed by a computer device, the method including: obtaining a source domain facial image of a first object, a target domain facial image of a second object and a facial feature image associated with the target domain facial image; applying the facial feature image and the source domain facial image to an expression transfer model to obtain a synthesized facial image of the first object; applying the synthesized facial image and the target domain facial image to a discriminative network model obtain two discrimination results; applying the synthesized facial image and the target domain facial image to an image classification model to obtain a category feature vector for identifying a difference between the synthesized facial image and the target domain facial image; and updating the expression transfer model according to the category feature vector and the discrimination results.

Abstract: The present application provides an image detection method performed by a server. The method includes: intercepting a first image and a second image at a preset time interval from a video stream; performing pixel matching on the first image and the second image to obtain a value of total matching pixels between the first image and the second image; performing picture content detection on the second image in response to determining that the value of total matching pixels between the first image and the second image satisfies a preset matching condition based on the value of total matching pixels; and determining that the video stream is abnormal in response to determining that no picture content is in the second image by the picture content detection. In this way, an image recognition manner can be used to perform detection on image pictures of the video stream at the preset time interval.

Abstract: A data transmission method and apparatus, a terminal, a storage medium, and a system. The data transmission method includes: obtaining audio data and transmission status information, determining a compression factor and a redundancy factor based on the transmission status information, performing time domain data compression processing on the audio data according to the compression factor to obtain compressed data, performing channel coding on the compressed data according to the redundancy factor to obtain a data transmission packet, and transmitting the data transmission packet.

Abstract: Embodiments of this application disclose a virtual scene display method performed by a computer device, which relate to the field of virtual scene technologies. The method includes: generating a virtual scene interface, the virtual scene interface including a scene image of a virtual scene captured by a virtual camera; displaying, in the virtual scene interface, a first scene image of one or more virtual objects in the virtual scene captured by the virtual camera using a first representation, the first representation being one of a 2D representation and a 3D representation; and in response to receiving a zoom operation on the virtual scene, displaying, in the virtual scene interface, a second scene image of the one or more virtual objects in the virtual scene captured by the virtual camera using a second representation, the second representation being the other one of the 2D representation and the 3D representation.

Abstract: A throwing position acquisition method and apparatus, a computer device, and a storage medium. The method includes: acquiring image frames of a target video; acquiring a projectile position in each image frame; acquiring a trajectory starting point position of the target object based on the projectile position in each image frame; acquiring, based on projectile positions corresponding to at least one group of image frames in the image frames, a first height value corresponding to a case that the target object is thrown; and acquiring a throwing position of the target object based on the first height value and the trajectory starting point position of the target object.

Abstract: This application discloses a data packet processing method performed by an electronic device. The data packet processing method includes: obtaining a target network data packet; generating data packet fingerprints of the target network data packet, the data packet fingerprints including a target traffic attribute fingerprint and a target traffic payload fingerprint; determining a type of the target network data packet according to an occurrence frequency of the target traffic payload fingerprint in a fingerprint database and the target traffic attribute fingerprint, the fingerprint database including historical traffic payload fingerprints of a plurality of historical network data packets; and blocking a network connection of the target network data packet when the type of the target network data packet is an abnormal type.

Abstract: An artificial intelligence-based image processing method implemented by a computer device is provided. The method includes: acquiring an image; performing element region detection on the image to determine an element region in the image; detecting a target element region in the image using an artificial intelligence-based technique; generating a target element envelope region by searching an envelope for the detected target element region; and fusing the element region and the target element envelope region to obtain a target element region outline.