Abstract: The present disclosure discloses a light-transmittance device and a use method, and belongs to the technical field of manufacturing of rotary equipment. The light-transmittance device includes cylinder sections, a two-column vertical lathe, and a vertical lathe platform; T-shaped supporting fixtures are arranged inside the cylinder sections; light-transmittance tools are arranged at center positions of the cylinder sections; two ends of the cylinder sections are provided with rolling ring base plates which are paired and mounted with the cylinder sections; a roller frame is arranged on a lower side of each group of cylinder section; furthermore, the rolling frames are slidably connected with a rigid rail; a theodolite is arranged on one side close to the cylinder sections; and a triangular bracket and a light-transmittance platform are arranged on a lower side of a shell of the theodolite.

Abstract: The present application discloses an information processing method which can be applied to an integration platform. The integration platform can receive a resource viewing operation triggered in the integration platform, the resource viewing operation is used to view information of a proxy service, and business data between the integration platform and a device on which the proxy service is installed are transmitted through the proxy service. After the resource viewing operation is received, a resource topology can be displayed in response to the resource viewing operation, and the resource topology is used to indicate an association relationship between at least one proxy service and at least one device. Thus, it can be seen, by using this scheme, users can view the resource topology after triggering the resource viewing operation, so as to obtain the association relationship between the proxy service and the device.

Abstract: This application discloses an image processing method, device, and apparatus, and a storage medium. The method is performed by a computing device, the method including: receiving an input image; determining a context feature of the input image; determining a first feature set and a second feature set according to the context feature and based on a size of a target image and a location of the input image in the target image; adjusting the second feature set according to a first feature statistic of the first feature set, to obtain an adjusted second feature set; and generating the target image based on the adjusted second feature set and the first feature set.

Abstract: The present application concerns the treatment and prevention of diseases associated with an increased risk of sudden unexpected death in epilepsy, such as Fragile X syndrome, by administering a selective 5-HT1A receptor agonist.

Abstract: Embodiments of the disclosure disclose a method, an apparatus, a computer device, and a storage medium for inpainting an image. In an embodiment, an image inpainting method includes: determining, from a target image, a first region to be inpainted and a second region that is not to be inpainted; performing feature extraction on the second region based on different receptive fields and spatial resolutions, to obtain feature information of a plurality of scales; generating a texture of the first region based on the feature information of the plurality of scales; and filling the first region in the target image with the generated texture, to obtain an inpainted image.

Abstract: Embodiments of this disclosure include an image enhancement method and apparatus. The image enhancement may include obtaining an original image and performing synthesis processing on features of the original image to obtain a first illumination map corresponding to the original image. A resolution of the first illumination map may be lower than a resolution of the original image. The image enhancement may further include obtaining, based on the first illumination map, a mapping relationship between an image to an illumination map and performing mapping processing on the original image based on the mapping relationship to obtain a second illumination map. A resolution of the second illumination map may be equal to the resolution of the original image. The image enhancement may further include performing image enhancement processing on the original image according to the second illumination map to obtain a target image.

Abstract: Embodiments of this application disclose a training method using image processing model for processing blurry images. The method includes obtaining a sample pair comprising a clear image and a corresponding blurry image; the sharpness of the clear image being greater than a preset threshold, the sharpness of the blurry image being less than the preset threshold; activating the image processing model to perform sharpness restoration on the blurry image to obtain a restored image; and updating network parameters of a first network and network parameters of a second network in the image processing model according to the restored image and the clear image to obtain a trained image processing model; the network parameters of the first network and the network parameters of the second network meeting a selective sharing condition indicating whether the network parameters between the first network and the second network are shared or independent.

Abstract: The present application concerns the treatment and prevention of diseases associated with an increased risk of sudden unexpected death in epilepsy, such as Fragile X syndrome, by administering a selective 5-HT1A receptor agonist

Abstract: A method and apparatus for processing a video is provided. A current image frame of a video and a mask for a first area are obtained. The Image included in the first area is to be removed from the current image frame. A first resultant image of the current image frame is obtained with an image processing network based on the current image frame and the mask. The first resultant image is an image from which the image included in the first area is removed from the current image frame. A second resultant image of a previous image frame of the current image frame is obtained. The second resultant image is an image from which the image included in the second area is removed from the previous image frame. A final resultant image of the current image frame is obtained by fusing the first resultant image and the second resultant image.

Abstract: A method and apparatus for processing a video is provided. A current image frame of a video and a mask for a first area are obtained. The Image included in the first area is to be removed from the current image frame. A first resultant image of the current image frame is obtained with an image processing network based on the current image frame and the mask. The first resultant image is an image from which the image included in the first area is removed from the current image frame. A second resultant image of a previous image frame of the current image frame is obtained. The second resultant image is an image from which the image included in the second area is removed from the previous image frame. A final resultant image of the current image frame is obtained by fusing the first resultant image and the second resultant image.

Abstract: An image processing method and device, storage medium and electronic device for deblurring an image. The method includes obtaining an image processing instruction including an instruction to deblur a target blurred image; obtaining a target model by training an original model based on a plurality of sample images of different scales, one of the plurality of sample images being a blurred image composed of a plurality of clear images, and the obtained target model being used for deblurring the blurred image to obtain a clear image; based on the image processing instruction, using the target model to deblur the target blurred image to obtain a target clear image; and outputting the target clear image.

Abstract: This application discloses an image processing method, device, and apparatus, and a storage medium. The method is performed by a computing device, the method including: receiving an input image; determining a context feature of the input image; determining a first feature set and a second feature set according to the context feature and based on a size of a target image and a location of the input image in the target image; adjusting the second feature set according to a first feature statistic of the first feature set, to obtain an adjusted second feature set; and generating the target image based on the adjusted second feature set and the first feature set.

Abstract: Embodiments of this application disclose a training method using image processing model for processing blurry images. The method includes obtaining a sample pair comprising a clear image and a corresponding blurry image; the sharpness of the clear image being greater than a preset threshold, the sharpness of the blurry image being less than the preset threshold; activating the image processing model to perform sharpness restoration on the blurry image to obtain a restored image; and updating network parameters of a first network and network parameters of a second network in the image processing model according to the restored image and the clear image to obtain a trained image processing model; the network parameters of the first network and the network parameters of the second network meeting a selective sharing condition indicating whether the network parameters between the first network and the second network are shared or independent.

Abstract: Embodiments of this disclosure include an image enhancement method and apparatus. The image enhancement may include obtaining an original image and performing synthesis processing on features of the original image to obtain a first illumination map corresponding to the original image. A resolution of the first illumination map may be lower than a resolution of the original image. The image enhancement may further include obtaining, based on the first illumination map, a mapping relationship between an image to an illumination map and performing mapping processing on the original image based on the mapping relationship to obtain a second illumination map. A resolution of the second illumination map may be equal to the resolution of the original image. The image enhancement may further include performing image enhancement processing on the original image according to the second illumination map to obtain a target image.

Abstract: Embodiments of the disclosure disclose a method, an apparatus, a computer device, and a storage medium for inpainting an image. In an embodiment, an image inpainting method includes: determining, from a target image, a first region to be inpainted and a second region that is not to be inpainted; performing feature extraction on the second region based on different receptive fields and spatial resolutions, to obtain feature information of a plurality of scales; generating a texture of the first region based on the feature information of the plurality of scales; and filling the first region in the target image with the generated texture, to obtain an inpainted image.

Abstract: An image processing method and device, storage medium and electronic device for deblurring an image. The method includes obtaining an image processing instruction including an instruction to deblur a target blurred image; obtaining a target model by training an original model based on a plurality of sample images of different scales, one of the plurality of sample images being a blurred image composed of a plurality of clear images, and the obtained target model being used for deblurring the blurred image to obtain a clear image; based on the image processing instruction, using the target model to deblur the target blurred image to obtain a target clear image; and outputting the target clear image.

Abstract: A series of hepatitis C virus (HCV) inhibitors and compositions and applications thereof in the preparation of drugs for treating chronic HCV infection. Especially, a series of compounds that are used as NS5A inhibitors, and compositions and uses thereof in the preparations of drugs.

Abstract: Provided is a benzofuran analog having a structure represented by formula (I) and used as an NS4B inhibitor, or a pharmaceutically acceptable salt of the benzofuran analog. The benzofuran analog has anti-hepatitis C virus activity.

Abstract: A lens assembly includes a lens holder and a lens barrel that are coaxial and integrated in a unity, a cavity is defined therein to receive at least one lens, at least three guiding legs are extended from a bottom of the lens holder, and the guiding legs define a plane that is parallel to an installation plane of the lens. It can achieve an accurate optical axis alignment between the lens and the image sensor, reduce total assembly tolerances of the camera module thereby improving imaging quality, and reduce manufacturing cost to benefit the popularization in industries.