Abstract:
A processing method for providing health support for a user and a terminal is presented. The method includes obtaining, by a second terminal, an event message of a user of a first terminal according to a first message of the first terminal, where the first message is used to reflect health information of the user of the first terminal, and the event message includes a health event of the user of the first terminal, a level of the health event, and a processing suggestion for the health event. The method further comprises parsing, by the second terminal, the event message to acquire the level of the health event; and determining, by the second terminal according to the level of the health event, a processing interface corresponding to the level of the health event, and presenting the event message to a user of the second terminal on the processing interface.
Abstract:
The present invention discloses a verification code generation and verification method, including: displaying a verification code display region on a touch display module, where the verification code display region includes at least one user-recognizable verification code element; sensing a touch action of a user on the touch display module, and determining a position of the touch action on the touch display module; and comparing whether the position of the touch action of the user on the touch display module is the same as a position of the verification code element to determine whether a verification code is correctly input. The verification code generation and verification method in the embodiments of the present invention is convenient for the user to input a verification code for verification, and brings a good verification effect while facilitating operations. Further, the present invention discloses a verification code generation and verification apparatus.
Abstract:
A video generation method, may be applied to the field of image processing and video generation in the field of artificial intelligence. The method includes: receiving a video generation instruction, and obtaining text information and image information in response to the video generation instruction, where the text information includes one or more keywords, and the image information includes N images; obtaining, based on the one or more keywords, an image feature that is in each of the N images and that corresponds to the one or more keywords; and inputting the one or more keywords and image features of the N images into a target generator network to generate a target video, where the target video includes M images, and the M images are images that are generated based on the image features of the N images and that correspond to the one or more keywords.
Abstract:
A processing apparatus includes a collection module and a training module, the training module includes a backbone network and a region proposal network (RPN) layer, the backbone network is connected to the RPN layer, and the RPN layer includes a class activation map (CAM) unit. The collection module is configured to obtain an image, where the image includes an image with an instance-level label and an image with an image-level label. The backbone network is used to output a feature map of the image based on the image obtained by the collection module.
Abstract:
A method for optimizing a photographing pose of a user, where the method is applied to an electronic device, and the method includes: displaying a photographing interface of a camera of the electronic device; obtaining a to-be-taken image in the photographing interface; determining, based on the to-be-taken image, that the photographing interface includes a portrait; entering a pose recommendation mode; and presenting a recommended human pose picture to a user in a predetermined preview manner, where the human pose picture is at least one picture that is selected from a picture library through metric learning and that has a top-ranked similarity to the to-be-taken image, and where the similarity is an overall similarity obtained by fusing a background similarity and a foreground similarity.
Abstract:
An abstract generation method and apparatus are provided, and relate to the field of artificial intelligence. The method includes: obtaining a content object; obtaining N thumbnails based on N pictures; generating M candidate abstracts based on text information and the N thumbnails; obtaining preference information of a user; selecting one of the M candidate abstracts as an abstract of the content object based on the preference information; and sending the abstract to a terminal device. In the method, a possibility that the user taps the abstract can be increased, and a content object delivery effect can be improved.
Abstract:
This application discloses an object recognition method and apparatus in the field of artificial intelligence. This application relates to the field of artificial intelligence, and specifically, to the field of computer vision. The method includes: obtaining one or more body regions of a to-be-recognized image; determining a saliency score of each of the one or more body regions; and when a saliency score of a body region A is greater than or equal to a categorization threshold, determining a feature vector of an object in the body region A based on a feature of the object in the body region A, and determining a category of the object in the body region A based on the feature vector of the object in the body region A and a category feature vector in a feature library, where the body region A is any one of the one or more body regions.
Abstract:
A content presentation method is used to intelligently present content to a user in different presentation modes according to different identified scenarios. The method includes acquiring, by an intelligent terminal, context data of a user, identifying a user use scenario according to the context data, determining a first presentation mode corresponding to the user use scenario, and presenting content to the user in the first presentation mode.
Abstract:
A self-driving method and a related apparatus, the method including determining, by a self-driving apparatus, a task feature vector of a self-driving task according to M groups of historical paths of the self-driving task, where the task feature vector is a vector representing features of the self-driving task, and where M is an integer greater than 0, determining, by the self-driving apparatus, according to the task feature vector and a status vector, a target driving operation that needs to be performed, where the status vector indicates a driving status of the self-driving apparatus, and performing, by the self-driving apparatus, the target driving operation.
Abstract:
A message presenting method, device, and system relating to the field of computer technologies is provided. In various embodiments, M number of messages entered in a message cluster are classified under N number of classification topics according to a preset classification rule. The N number of classification topics and a target message are sent to a client so that the client can present the N number of classification topics to a user.