Abstract: The disclosure provides a method, an apparatus and a computer device for three-dimensional reconstruction of an indoor structure based on a two-dimensional video, wherein the method comprises: generating a color point cloud of three-dimensional structure of a house by using the video data of the house; regularizing the color point cloud of the house; extracting a plan of the house based on the color point cloud of the house; and constructing a three-dimensional model of the house in real life. The disclosure realizes autonomous and rapid construction of a three-dimensional model of a house by the general public, and realizes a low-cost, efficient and convenient three-dimensional visual digital representation of the house.

Abstract: A method and an apparatus for adjusting an interface layout, and a device, and a storage medium are provided in embodiments of this application. The method includes acquiring a trigger operation for an application to be displayed; and displaying an adapted application interface of the application on the screen in response to the trigger operation, the adapted application interface comprising a plurality of interface elements, and for an interface element interface elements, a first physical size of the interface element presented in the adapted application interface being the same as a second physical size presented in a reference application interface; and the first physical size of the interface element being determined based on an adapted virtual pixel size of the interface element and a dot density, and the adapted virtual pixel size being the same as a reference virtual pixel size of the interface element in the reference application interface.

Abstract: A method, a system and an electronic device for processing audio-visual data. In the method, a first dataset is obtained, where the first dataset includes several data pairs, and each of the data pairs in the first dataset includes a video frame and an audio clip that match each other. A multi-channel feature extraction network model is established to extract the visual features of each video frame and the auditory features of each audio clip in the first dataset. A contrastive loss function model is established using the extracted visual features and the auditory features to train the multi-channel feature extraction network. A classifier is established to determine whether an input audio-visual data pair is matched.

Abstract: The present disclosure relates to a display substrate, a display panel, a display device, and a manufacturing method of the display panel. The display substrate display substrate includes a display area, the display area including: a plurality of sides, wherein adjacent sides of the plurality of sides intersect to form a plurality of corners; a first display area having a first pixel density; and a second display area having a second pixel density lower than the first pixel density, wherein the second display area is located in at least one of the corners.

Abstract: A method, a system and an electronic device for processing audio-visual data. In the method, a first dataset is obtained, where the first dataset includes several data pairs, and each of the data pairs in the first dataset includes a video frame and an audio clip that match each other. A multi-channel feature extraction network model is established to extract the visual features of each video frame and the auditory features of each audio clip in the first dataset. A contrastive loss function model is established using the extracted visual features and the auditory features to train the multi-channel feature extraction network. A classifier is established to determine whether an input audio-visual data pair is matched.