Abstract: This application discloses a map generation method and apparatus, an electronic device, and a computer storage medium. The method includes: selecting a plurality of sub-level maps from a sub-level map library; sequentially placing first M sub-level maps of the plurality of sub-level maps in a predetermined map region, the first M sub-level maps being all located in the map region, and the first M sub-level maps not overlapping with each other; and sequentially placing the remaining sub-level maps not to overlap with the sub-level maps placed in the map region and to be connected to at least one of the sub-level maps placed in the map region, to obtain a target map.

Abstract: The present disclosure discloses a method for generating a styled sentence by a computer device. The method includes: obtaining a to-be-converted natural sentence, classifying, by inputting the natural sentence into a first encoding model, having a classification capability of classifying the natural sentence into a target content vector and a style vector of the natural sentence, the target content vector indicating a meaning of the natural sentence, and the style vector of the natural sentence indicating a language style of the natural sentence. The method also include determining, from at least one style vector according to a set target language style, a target style vector corresponding to the target language style; and inputting the target content vector and the target style vector into a first decoding model, and generating a styled sentence corresponding to the natural sentence.

Abstract: A video data processing method is provided. In the method, video features of a target video are acquired. The video features include background features and key part region features. An expected quality of a key part of the target video is acquired. The expected quality of the key part corresponds to an image quality of the key part in a transcoded target video after the target video is transcoded. A background prediction transcoding parameter of the target video is determined based on the background features and an expected quality of a background. The expected quality of the background corresponds to an overall image quality of the transcoded target video. A target transcoding parameter prediction value is determined based on the background features, the key part region features, and the background prediction transcoding parameter. The target video is transcoded according to the target transcoding parameter prediction value.

Abstract: A method for indexing data in a storage engine includes: obtaining a target transaction, the target transaction indicating a process of indexing data; determining target data in a first storage engine according to the target transaction, the target data being comprised in at least one first index table; determining, according to the first index table, at least one second index table configured in a second storage engine, the second index table being obtained by adding row numbers based on the first index table, the row numbers indicating row data in the target data, and the second storage engine supporting execution of the target transaction; and determining, according to a data index condition in the first storage engine, index data from the second index table, the index data being comprised in the target data.

Abstract: This application discloses an object control method performed at a terminal device. The method includes: detecting, in a running process of a round of game, a target angle generated by a target object controlled by a user of the terminal device during execution of a target action, the target angle being an included angle between a forward orientation of the target object and a sliding direction of the target object; automatically triggering, when the target angle reaches a trigger threshold, adjustment of a key state of a target virtual key; detecting, when the key state of the target virtual key is a touch-enabled state, a touch operation performed on the target virtual key; and controlling, in response to the touch operation, the target object to perform a target operation matching the target virtual key.

Abstract: The present subject matter relates to the field of data processing technologies. Source vector data is stored in a source vector register. The source vector data is divided into n source sub-vectors. The n source sub-vectors are in a one-to-one correspondence with n sets of multiplexers. First valid elements in a source sub-vector are selectively arranged by multiplexers in the n sets of multiplexers in the source vector data to obtain a target sub-vector. A data merging apparatus shifts and merges n target sub-vectors corresponding to the n source sub-vectors to obtain target vector data. A target vector register stores second valid elements in the target vector data. Through the method, the apparatus, and the device, a congestion level of wires can be effectively reduced, thereby significantly reducing an area of a processor.

Abstract: A multimedia processing method includes rendering, through a first native container node of a dynamic page, a content node associated with the first native container node to play multimedia content. The method further includes generating a non-dynamic page in response to a first page switching operation triggered in the dynamic page, and creating a second native container node in a second node tree of the non-dynamic page, the second native container node being supported by the native application framework provided by the operating system. The method further includes disassociating the content node from the first native container node, and establishing an association between the content node and the second native container node. The method further includes rendering, through the second native container node, the content node in the non-dynamic page to continue playing the rendered multimedia content in a portion of the generated non-dynamic page.

Abstract: A machine learning model training method includes: training a machine learning model using features of samples in a training set, where a sample in the training set corresponds to an initial first weight and an initial second weight. In one iteration, the method includes: determining a first sample set comprising one or more samples whose corresponding target variables are incorrectly predicted; determining an overall predicted loss of the first sample set based on the predicted losses and corresponding first weights of samples in the first sample set; updating the first weights and second weights of the samples in the first sample set based on the overall predicted loss of the first sample set; and inputting the second weights, the features, and the target variables of the samples in the training set to the machine learning model, and initiating a next iteration of training the machine learning model.

Abstract: A semantic segmentation method and apparatus for a three-dimensional image, and a storage medium are provided. The method includes: obtaining a three-dimensional image; slicing the three-dimensional image according to three directional planes, to obtain two-dimensional slice images of an x axis, two-dimensional slice images of a y axis, and two-dimensional slice images of a z axis; invoking a first segmentation model, a second segmentation model, and a third segmentation model to respectively perform semantic segmentation on the two-dimensional slice images of the x axis, the y axis, and the z axis, to obtain distribution probability maps of a target object on the three directional planes; and obtaining a three-dimensional distribution binary image of the target object by invoking an adaptive fusion model to perform three-dimensional fusion on the three distribution probability maps respectively corresponding to an x-axis directional plane, a y-axis directional plane, and a z-axis directional plane.

Abstract: This application discloses a method for transmitting prompt information in a multiplayer online battle program performed by a terminal. The method includes: displaying a user interface (UI); receiving a directional operation on the UI for activating a prompt information transmission function and pointing to a target display element in the UI; predicting target prompt information according to the target display element and battle information; determining one or more virtual characters in a battle for receiving the predicted target prompt information; and transmitting the predicted target prompt information to terminals of the one or more determined virtual characters, the one or more determined virtual characters being a master virtual character or all virtual characters in the battle. This application can intelligently determine and select a prompt signal that the user wants to transmit in a current battle scenario based on a thought expressed by the user and the battle information.

Abstract: A data processing method and device are provided. The method includes: extracting a plurality of data sets from unlabeled data; and for each data set, creating a plurality of sample sets by assigning labels to data samples in the data set, respectively training, for each sample set created from the data set, a classifier by using the sample set and labeled data, obtaining a sample set that corresponds to a trained classifier with the highest performance, and adding the obtained sample set to a candidate training set. Each sample set includes the first preset number of data samples with respective labels, the labels of the data samples in each sample set constitutes a label combination, and label combinations corresponding to different sample sets are different from each other. The method also includes adding a second preset number of sample sets in the candidate training set to the labeled data.

Abstract: The embodiments of the disclosure provide a video description information generation method, a video processing method, and video description information generation apparatus, and a video processing apparatus. The video description information generation method includes: obtaining a frame-level video feature sequence corresponding to a video; generating a global part-of-speech sequence feature of the video according to the video feature sequence, the global part-of-speech sequence feature being a feature of a sequence of a combination of parts of speech in the video; and generating natural language description information of the video according to the global part-of-speech sequence feature and the video feature sequence.

Abstract: This application provides an image dehazing method, apparatus, and device, and a computer storage medium. The method includes: in response to obtaining an image dehazing instruction, acquiring a first image and a second image corresponding to a target scene at the same moment. The method also includes calculating, based on a first pixel value of each pixel of the first image and a second pixel value of each pixel of the second image, haze density information of the each pixel; generating an image fusion factor of the each pixel according to the haze density information, the image fusion factor indicating a fusion degree between the first image and the second image; and fusing the first image and the second image according to the image fusion factor to obtain a dehazed image.

Abstract: The present disclosure provides a deep learning based medical image detection method and apparatus, a computer-readable medium, and an electronic device. The method includes: acquiring a to-be-detected medical image comprising a plurality of slices; for each slice in the to-be-detected medical image: extracting N basic feature maps of the slice by a deep neural network, N being an integer greater than 1, merging features of the N basic feature maps by the deep neural network, to obtain M enhanced feature maps, M being an integer greater than 1, and respectively performing a hierarchically dilated convolutions operation on the M enhanced feature maps by the deep neural network, to generate a superposed feature map of each enhanced feature map; and predicting position information of a region of interest and a confidence score thereof in the to-be-detected medical image by the deep neural network based on the superposed feature map.

Abstract: The present disclosure relates to a virtual reality display device. The virtual reality display device includes: a main lens, a semi-reflective lens, a first display screen, a second display screen, a zoom assembly and an eye tracking camera. The main lens is arranged in front of the first display screen and perpendicular to a first direction. The semi-reflective lens is arranged between the main lens and the first display screen. The eye tracking camera points to an eyeball position. The second display screen faces the semi-reflective lens, and light emitted from the second display screen is reflected by the semi-reflective lens and then propagates along the first direction. The zoom assembly is arranged on a front side of the second display screen. The second display screen is configured to display an image based on an eyeball focus position detected by the eye tracking camera.

Abstract: An interface information processing method and apparatus, a storage medium, and a device are provided. The method includes: displaying, based on a trigger operation on a floating translation component in a first display interface, a trigger progress in the floating translation component, the first display interface including a character of a first language type, the trigger progress being associated with trigger duration, and the trigger duration being a duration of the trigger operation on the floating translation component; and switching the first display interface to a second display interface based on the trigger progress in the floating translation component satisfying a full-screen translation start progress, the second display interface including a character of a second language type, and the character of the second language type being obtained by translating the character of the first language type.

Abstract: In a method for processing a virtual effect in a virtual scene, the virtual effect is generated in the virtual scene. The virtual effect is configured to change an attribute value of a virtual object that is located within a functional range of the virtual effect. Based on positional relationships between a plurality of body parts of the virtual object and the virtual effect in the virtual scene, a sub-attribute change value for each of the plurality of body parts of the virtual object that is affected by the virtual effect is determined. A change to the attribute value of the virtual object is determined based on the sub-attribute change value of each of the plurality of body parts of the virtual object that is affected by the virtual effect.

Abstract: A service processing method includes determining a first computing power resource for executing an offline task, determining N edge servers which execute the offline task and on which cloud applications are running based on idle computing power resources of the N edge servers being greater than the first computing power resource, and scheduling the offline task to the N edge servers in a distributed mode while ensuring normal operation of the cloud applications, so that each edge server in the N edge servers executes the offline task using the idle computing power resource of the edge server.

Abstract: A streaming method executed by a control device includes receiving a streaming media playback address of a cloud streaming service returned by a cloud device, and transmitting a media projection request corresponding to a local media file stored on the control device to a playback device. The method further includes transmitting a loading instruction indicating to start loading the virtual scene to the cloud device, generating initial file parameters corresponding to the local media file and replacing a file address of the local media file in the initial file parameters with the streaming media playback address to obtain modified file parameters. The method further includes returning the modified file parameters to the playback device, the modified file parameters providing the streaming media playback address instead of the initial file parameters corresponding to the local media file.

Abstract: A method includes sending, by an application function network element, a round trip time request of a service flow to a policy control function (PCF) network element, and a first quality of service detection policy is generated and sent, by the PCF network element, to a session management function (SMF) network element. In response to receiving a quality of service detection request, a UPF side round trip time overtime message is generated by the first UPF network element when a current UPF side round trip time of the service flow between a terminal and the first UPF network element exceeds the first UPF side round trip time threshold value. In response to receiving the UPF side round trip time overtime message, a processing mode is determined by the PCF network element for the service flow to meet the round trip time request.