Abstract: An image processing method includes determining a target object in a to-be-photographed scene, determining a preview image based on the target object, a zoom ratio specified by a user, and an original image that is captured by a sensor of a terminal when the terminal uses a target lens to perform photographing at the zoom ratio, and displaying the preview image on a display of the terminal. The preview image may be displayed in a single preview region, or displayed in a plurality of preview regions that are formed in combination with an auxiliary preview image.

Abstract: Disclosed are antibodies and fragments thereof that target the A-domain of Neuropilin-1 (Nrp1A). Also disclosed are methods of using the anti-Nrp1A antibodies for the treatment of various diseases or disorders.

Abstract: The present invention relates to anti-SIRP? (Signal regulatory protein alpha) antibodies and antigen-binding fragments thereof for therapeutic and diagnostic methods and compositions using them.

Abstract: The present invention relates to anti-SIRP? (Signal regulatory protein alpha) antibodies and antigen-binding fragments thereof for therapeutic and diagnostic methods and compositions using them.

Abstract: An image processing method includes obtaining status information of a terminal device, obtaining photographing scene information of the terminal device, determining an image processing mode based on the status information and the photographing scene information, obtaining a to-be-displayed image, and processing the to-be-displayed image based on the image processing mode.

Abstract: A method for detecting a complexity of a traveling scenario of a vehicle includes obtaining a travelling speed of the vehicle and a travelling speed of a target vehicle, determining, based on the traveling speed of the vehicle and the traveling speed of the target vehicle, a dynamic complexity of a traveling scenario in which the vehicle is located, determining static information of each static factor in the traveling scenario in which the vehicle is currently located, obtaining, based on the static information of each static factor, a static complexity of the traveling scenario in which the vehicle is located, and obtaining, based on the dynamic complexity and the static complexity, a comprehensive complexity of the traveling scenario in which the vehicle is located.

Abstract: The present invention relates to anti-SIRP? (Signal regulatory protein alpha) antibodies and antigen-binding fragments thereof for therapeutic and diagnostic methods and compositions using them.

Abstract: An image processing method includes obtaining a plurality of frames of raw images. After preprocessing such as image alignment, channel splitting or pixel rearrangement is performed on the obtained plurality of frames of raw images, detail restoration is performed on an image based on a deep learning network, and luminance enhancement and color enhancement are performed on an image output by the deep learning network. A plurality of types of processing related to detail restoration are integrated into a same deep learning network.

Abstract: Embodiments of this application disclose an image processing method and an electronic apparatus, to process a video image based on photographing environment brightness. The image processing method includes: detecting photographing environment brightness during video photographing; and when the photographing environment brightness is less than a preset threshold, processing a video image by using a neural network; or when the photographing environment brightness is greater than or equal to a preset threshold, processing a video image by using a preset denoising method, where the preset denoising method does not include a neural network architecture. A neural network in the artificial intelligence (artificial intelligence, AI) field requires a large quantity of computing units. This causes power consumption. According to the foregoing image processing method, a video image processing effect can be improved while power consumption of a terminal is ensured.

Abstract: The present invention relates to anti-SARS-CoV-2 antibodies and/or antigen-binding fragments thereof, which are useful for specific detection of SARS-CoV-2 in a biological sample. The present invention also provides methods and kits for detecting SARS-CoV-2 and methods and compositions for use in diagnosis and treatment of coronavirus disease (COVID-19) using the anti-SARS-CoV-2 antibodies as described herein.

Abstract: An image processing method includes obtaining status information of a terminal device, obtaining photographing scene information of the terminal device, determining an image processing mode based on the status information and the photographing scene information, obtaining a to-be-displayed image, and processing the to-be-displayed image based on the image processing mode.

Abstract: An image processing apparatus and an image processing method include obtaining status information of a terminal device, obtaining photographing scene information of the terminal device, determining an image processing mode based on the status information and the photographing scene information, obtaining a to-be-displayed image, and processing the to-be-displayed image based on the image processing mode.

Abstract: Disclosed are antibodies and fragments thereof that target the A-domain of Neuropilin-1 (Nrp1A). Also disclosed are methods of using the anti-Nrp1A antibodies for the treatment of various diseases or disorders.

Abstract: A photographing method includes entering a slow shutter photographing mode, dividing each frame of image of the photographed object into a light trail region, a background light source region, and a non-light-source region, merging the light trail regions of the frames of images, setting a merged light trail region as a light trail region of a target image, setting the background light source regions of one or more of the frames of images as a background light source region of the target image to avoid overexposure, merging the non-light-source regions of one or more of the frames of images, setting a merged non-light-source region as a non-light-source region of the target image to enhance brightness of the non-light-source region, and storing the target image after obtaining a photographing instruction.

Abstract: An image processing apparatus and an image processing method include obtaining status information of a terminal device, obtaining photographing scene information of the terminal device, determining an image processing mode based on the status information and the photographing scene information, obtaining a to-be-displayed image, and processing the to-be-displayed image based on the image processing mode.

Abstract: The present invention relates to anti-virus dengue virus antibodies and applications thereof. Specifically, the anti-virus dengue virus antibodies of the present invention are serotype specific and useful for specific detection and differentiation of various dengue virus serotypes in a biological sample. The present invention also provide methods and kits for detecting dengue virus and methods and compositions for use in diagnosis and treatment of dengue virus disease using the anti-virus dengue virus antibodies as described herein.

Abstract: The present invention relates to anti-virus dengue virus antibodies and applications thereof. Specifically, the anti-virus dengue virus antibodies of the present invention are serotype specific and useful for specific detection and differentiation of various dengue virus serotypes in a biological sample. The present invention also provide methods and kits for detecting dengue virus and methods and compositions for use in diagnosis and treatment of dengue virus disease using the anti-virus dengue virus antibodies as described herein.

Abstract: A photographing method includes entering a slow shutter photographing mode, dividing each frame of image of the photographed object into a light trail region, a background light source region, and a non-light-source region, merging the light trail regions of the frames of images, setting a merged light trail region as a light trail region of a target image, setting the background light source regions of one or more of the frames of images as a background light source region of the target image to avoid overexposure, merging the non-light-source regions of one or more of the frames of images, setting a merged non-light-source region as a non-light-source region of the target image to enhance brightness of the non-light-source region, and storing the target image after obtaining a photographing instruction.

Abstract: A photographing method includes entering the slow shutter photographing mode, dividing each frame of image of the photographed object into a light trail region, a background light source region, and a non-light-source region, merging the light trail regions of the frames of images, setting a merged light trail region as a light trail region of a target image, setting the background light source regions of one or more of the frames of images as a background light source region of the target image to avoid overexposure, merging the non-light-source regions of one or more of the frames of images, setting a merged non-light-source region as a non-light-source region of the target image to enhance brightness of the non-light-source region, and storing the target image after obtaining a photographing instruction.

Abstract: A photographing method includes entering the slow shutter photographing mode, dividing each frame of image of the photographed object into a light trail region, a background light source region, and a non-light-source region, merging the light trail regions of the frames of images, setting a merged light trail region as a light trail region of a target image, setting the background light source regions of one or more of the frames of images as a background light source region of the target image to avoid overexposure, merging the non-light-source regions of one or more of the frames of images, setting a merged non-light-source region as a non-light-source region of the target image to enhance brightness of the non-light-source region, and storing the target image after obtaining a photographing instruction.