Abstract: A visual localization method includes obtaining an image captured by a terminal device; obtaining two-dimensional line feature information of the image that includes at least one of information about a boundary between a building and a non-building or information about a boundary between a non-building and a non-building; and determining a localization pose of the terminal device based on location information of the terminal device, magnetometer angle deflection information of the terminal device, a satellite map, and the two-dimensional line feature information.

Abstract: A cloud technology-based positioning method and apparatus are disclosed, and relate to the field of computers. The positioning method includes: obtaining to-be-positioned image data; retrieving the to-be-positioned image data from a three-dimensional model database, to obtain first point cloud data having a matched similarity to the to-be-positioned image data; and then performing registration on the to-be-positioned image data based on a point having location information in the first point cloud data, to obtain a first pose corresponding to the to-be-positioned image data. The first point cloud data having the matched similarity to the to-be-positioned image data is retrieved from the three-dimensional model database, to determine, from the entire three-dimensional model database, point cloud data corresponding to a partial region matching the to-be-positioned image data.

Abstract: Embodiments of this application provide a hinge apparatus. a shaft cover, including accommodation recess parts; bases, disposed in the accommodation recess parts, where each base includes relief spaces and first adapter parts, the first adapter parts face the relief spaces, the base includes a synchronous slider and a limiting guide track, the limiting guide track is connected to the shaft cover, the limiting guide track is disposed at a side that is of the synchronous slider and that faces away from the shaft cover, and the synchronous slider is slidably connected to the limiting guide track; and swing arm assemblies, each including swing arm bodies and second adapter parts. A connection end of each swing arm body is close to the base. A free end of the swing arm body is away from the base. At least part of the connection end is located in the relief space.

Abstract: Embodiments of the present disclosure provide a data transmission method for a cloud application, a computing device and a computer storage medium. The data transmission method for the cloud application includes that: first network condition data of a cloud application client is obtained, where the first network condition data is obtained by monitoring data transmission condition between the cloud application client and a cloud application server; when the first network condition data meets a preset condition, a reference network condition is obtained; a data transmission way for the cloud application client is determined based on the reference network condition; and data transmission between the cloud application client and the cloud application server is performed according to the data transmission way. According to the technical solution provided by the embodiments of the present disclosure, the accuracy of determining the data transmission way is improved.

Abstract: A visual localization method and apparatus are provided. The method includes obtaining a captured first image, determining a first pose based on the first image and an aerial model, determining whether a ground model corresponding to the first pose exists in an aerial-ground model, and when the ground model corresponding to the first pose exists, determining a second pose based on the ground model. The aerial-ground model includes the aerial model and the ground model mapped to the aerial model, a coordinate system of the ground model is the same as a coordinate system of the aerial model, and localization accuracy of the second pose is higher than localization accuracy of the first pose. Performing fine visual localization based on the ground model can improve accuracy and a success rate of localization.

Abstract: This application provides an image processing method, including: obtaining first data, where the first data corresponds to a first scene model, a first character, and a first location of the first character in the first scene model; and generating N first images based on the first data, where the N first images are in one-to-one correspondence with N second locations, an nth first image is used for presenting a pose of the first character at an nth second location, and the pose of the first character at the nth second location corresponds to a terrain feature of the first scene model at the nth second location. According to embodiments of this application, the pose of the first character corresponds to the terrain feature of the first scene model, so that the first character can automatically avoid an obstacle in a complex terrain (for example, a three-dimensional terrain).

Abstract: A target localization method includes a server that receives a localization request sent by a first electronic device, where the localization request includes a to-be-processed image; the server recognizes a target in the to-be-processed image; the server searches a pose estimation model library for a target pose estimation model corresponding to the target, where the pose estimation model library includes pose estimation models respectively corresponding to a plurality of objects; the server obtains a pose of the target based on the to-be-processed image and the target pose estimation model; and the server sends the pose of the target to the first electronic device.

Abstract: Embodiments of this application provide a hinge apparatus. a shaft cover, including accommodation recess parts; bases, disposed in the accommodation recess parts, where each base includes relief spaces and first adapter parts, the first adapter parts face the relief spaces, the base includes a synchronous slider and a limiting guide track, the limiting guide track is connected to the shaft cover, the limiting guide track is disposed at a side that is of the synchronous slider and that faces away from the shaft cover, and the synchronous slider is slidably connected to the limiting guide track; and swing arm assemblies, each including swing arm bodies and second adapter parts. A connection end of each swing arm body is close to the base. A free end of the swing arm body is away from the base. At least part of the connection end is located in the relief space.

Abstract: An image processing method includes segmenting, by a cloud server and based on a zoom ratio of a high-definition image in a high-definition image library, a low-definition image of a small zoom ratio from a terminal to obtain a plurality of image blocks. For each image block, performing, by the cloud server, retrieval and matching in the high-definition image library to obtain one or more high-definition reference images, and then performing, by the cloud server, image quality improvement using an image enhancement network that is based on the high-definition reference images to obtain a plurality of high-definition image blocks. Finally, stitching, by the cloud server, the high-definition image blocks into a super-definition image with higher resolution and higher definition, and returning, by the cloud server, the super-definition image to the terminal.

Abstract: Described is a method for detecting a calibration requirement for image sensors in a vehicle. The method includes detecting a ground pattern in a generated image associated with a surrounding of a vehicle. The method includes extracting at least one key point associated with the detected ground pattern, from the generated image. The method includes determining a relative motion parameter associated with the extracted at least one key point based on tracking of the extracted at least one key point over a period of time. The method further includes detecting the calibration requirement for the image sensor based on the determined relative motion parameter and generating an output signal based on the detected calibration requirement.

Abstract: Described is a method for detecting a calibration requirement for image sensors in a vehicle. The method includes detecting a ground pattern in a generated image associated with a surrounding of a vehicle. The method includes extracting at least one key point associated with the detected ground pattern, from the generated image. The method includes determining a relative motion parameter associated with the extracted at least one key point based on tracking of the extracted at least one key point over a period of time. The method further includes detecting the calibration requirement for the image sensor based on the determined relative motion parameter and generating an output signal based on the detected calibration requirement.

Abstract: An image processing apparatus and a method are provided. The apparatus comprises a plurality of processing modules configured to operate in series to refine a raw image captured by a camera, the modules comprising a first module and a second module, each of which independently implements a respective trained artificial intelligence model, wherein: the first module implements an image transformation operation that performs an operation from the set comprising: (i) an essentially pixel-level operation that increases sharpness of an image input to the module, (ii) an essentially pixel-level operation that decreases sharpness of an image input to the module, (iii) an essentially pixel-block-level operation on an image input to the module; and the second module as a whole implements a different operation from the said set.

Abstract: A visual localization method includes obtaining an image captured by a terminal device; obtaining two-dimensional line feature information of the image that includes at least one of information about a boundary between a building and a non-building or information about a boundary between a non-building and a non-building; and determining a localization pose of the terminal device based on location information of the terminal device, magnetometer angle deflection information of the terminal device, a satellite map, and the two-dimensional line feature information.

Abstract: An image processing method includes segmenting, by a cloud server and based on a zoom ratio of a high-definition image in a high-definition image library, a low-definition image of a small zoom ratio from a terminal to obtain a plurality of image blocks. For each image block, performing, by the cloud server, retrieval and matching in the high-definition image library to obtain one or more high-definition reference images, and then performing, by the cloud server, image quality improvement using an image enhancement network that is based on the high-definition reference images to obtain a plurality of high-definition image blocks. Finally, stitching, by the cloud server, the high-definition image blocks into a super-definition image with higher resolution and higher definition, and returning, by the cloud server, the super-definition image to the terminal.

Abstract: A visual localization method and apparatus are provided. The method includes obtaining a captured first image, determining a first pose based on the first image and an aerial model, determining whether a ground model corresponding to the first pose exists in an aerial-ground model, and when the ground model corresponding to the first pose exists, determining a second pose based on the ground model. The aerial-ground model includes the aerial model and the ground model mapped to the aerial model, a coordinate system of the ground model is the same as a coordinate system of the aerial model, and localization accuracy of the second pose is higher than localization accuracy of the first pose. Performing fine visual localization based on the ground model can improve accuracy and a success rate of localization.

Abstract: A method for playing media data is disclosed, including: transmitting, by a first operating system, a request for processing the media data to a second operating system, the first operating system and the second operating system being installed on a same device; receiving, by the first operating system, processing results from the second operating system, wherein the second operating system is configured to process the media data based at least in part on the request to generate the processing results; and playing the media data by the first operating system based at least in part on the processing results.

Abstract: A method and an apparatus for determining near field images for optical lithography include receiving a thin mask image indicative of a photomask feature, in which the thin mask image is determined without considering a mask topography effect associated with the photomask feature, and determining a near field image from the thin mask image by a processor using an artificial neural network (ANN), in which the ANN uses data of the thin mask image as input. The apparatus includes a processor and a memory coupled to the processor. The memory is configured to store instructions executed by the processor to perform the method.

Abstract: A method, where one file includes file data of a plurality of files for generating a three-dimensional model includes obtaining a first file in a picture format, an extension data segment of the first file includes at least one first data segment, and the first data segment includes the file data of the files for generating a first three-dimensional model of the three-dimensional model, obtaining the file data of the files from the first data segment, and generating the first three-dimensional model based on the file data of the files.