Abstract: This application relates to a focusing method for a camera device, and a non-transitory computer-readable storage medium. The focusing method includes: acquiring a photographing information label from photographing information of the camera device; determining whether there is a lens position corresponding to the photographing information label in a first database; if there is the lens position corresponding to the photographing information label in the first database; acquiring the lens position corresponding to the photographing information label from the first database according to the photographing information label; generating a focusing control instruction according to the lens position; and controlling a photographing lens of the camera device to be provided at the lens position corresponding to the photographing information label according to the focusing control instruction. The rapid focusing of the camera device is achieved by implementing the focusing method.

Abstract: The present disclosure provides a visual analysis method and apparatus for an image inpainting model, and an electronic device. The method includes: obtaining a benchmark image and a plurality of interpolation images corresponding to a to-be-restored image, where the to-be-restored image includes a target region to be restored; inputting the to-be-restored image, the benchmark image and the plurality of the interpolation images as input images into the image inpainting model, to obtain a restored image corresponding to each of the input images; obtaining an attribution value of the target region in the restored image corresponding to each of the input images; based on the attribution value, obtaining an activation image corresponding to each of the input images, where the activation image includes a response value of each pixel in an input image contributing to the attribution value.

Abstract: Disclosed is a method for explaining a model. The method comprises: transforming a target input sample from an original feature space to an embedding space; generating a perturbation data set in the embedding space; acquiring a weight of a neighborhood vector in the perturbation data set; after that, transforming the perturbation data set back to the original feature space; acquiring an explainable model of a target data analysis model by training based on the acquired data; and acquiring an explanation result based on the explainable model.

Abstract: An automatic scanning and positioning apparatus for a scout image, comprising: a receiving means, for receiving a scout image of a subject obtained through scout scanning; a checking and determining means, for automatically checking at least one position in the scout image according to a plurality of information contained in the scout image, and automatically determining a scanning scope based on the at least one position; and an executing means, for executing axial scanning to the subject based on the determined scanning scope.

Abstract: A CT imaging method and a CT system based on a multi-mode scout scan. The CT imaging method based on a multi-mode scout scan comprises: performing an instant switching dual energy scout radiation scan on a region of interest of a subject by way of instant switching between high voltage and low voltage to collect dual energy protection data of the region of interest; and reconstructing a material decomposition image and a mono-energetic image based on the collected dual energy projection data.

Abstract: An automatic scanning and positioning apparatus for a scout image, comprising: a receiving means, for receiving a scout image of a subject obtained through scout scanning; a checking and determining means, for automatically checking at least one position in the scout image according to a plurality of information contained in the scout image, and automatically determining a scanning scope based on the at least one position; and an executing means, for executing axial scanning to the subject based on the determined scanning scope.