Abstract: The present disclosure relates to a nitrogen-doped porous carbon material and a preparation method and use thereof. In the present disclosure, the preparation method of a nitrogen-doped porous carbon material includes the following steps: conducting carbonization on a biomass material to obtain a carbon source; and mixing the carbon source with a potassium 4-aminobenzoate aqueous solution, and drying and conducting calcination in a protective atmosphere sequentially to obtain the nitrogen-doped porous carbon material. In the preparation method, the potassium 4-aminobenzoate is used as a nitrogen source as well as an activator for preparing the nitrogen-doped porous carbon material. Nitrogen doping is simultaneously completed during the activation, and the nitrogen-doped porous carbon material can be prepared through one-step calcination.

Abstract: A system and method for authentication code generation based on adversarial machine learning are provided in this disclosure. The method includes a defensive authentication code generation system, an authentication code formation module, an authentication code scheduling module, an authentication-code adversarial processing center, an attack sample generation module, a verification and error reporting system, a division module, a grouping and distribution system, a category checking module, a data recording unit, a detection module and an integration terminal. In the system and method for authentication code generation based on adversarial machine learning according to the disclosure, attack scenes are simulated for continuous training for the authentication code, error-reporting data are recorded and optimized into the defensive authentication code generation system, so as to improve defense performance of the authentication code.

Abstract: The disclosure can provide a method for converting an image, an apparatus for converting an image, an electronic device, and a storage medium. The method includes: obtaining an image in RAW format; obtaining a semantic analysis result of the image in RAW format by inputting the image in RAW format into a pre-trained first network model; the first network model being obtained by training based on a labeled training sample corresponding to each of a plurality of first training samples, the first training sample being a sample image in RAW format, and the labeled training sample being a sample image in RAW format obtained by labeling a semantic analysis result on the corresponding first training sample; and determining an image in RGB (Red-Green-Blue) format corresponding to the image in RAW format based on the semantic analysis result of the image in RAW format.

Abstract: Disclosed are a method and apparatus, and a storage medium for processing a style image. The method includes: acquiring an initial image and a corresponding style image with brightness and chroma being separately represented; determining a first to-be-processed area in the style image, and determining a second to-be-processed area corresponding to the first to-be-processed area in the initial image; replacing a brightness component of the first to-be-processed area with a brightness component of the second to-be-processed area for the style image; filtering a chroma component of the first to-be-processed area for the style image; and generating an output image according to a processed style image.

Abstract: The application discloses a method, an apparatus and an electronic device for processing an image. The method includes: acquiring an image with a first rendering style and an image with a second rendering style; generating at least one first intermediate gradient image based on the image with the first rendering style and the image with the second rendering style; wherein the at least one first intermediate gradient image comprises an image in a gradient process from the image with the first rendering style to the image with the second rendering style; and generating a first gradient video based on the image with the first rendering style, the at least one first intermediate gradient image, and the image with the second rendering style.

Abstract: The application shows a method, an apparatus, and an electronic device for processing an image. The method includes: obtaining an image of a first rendering style; obtaining an image of a second rendering style according to the image of the first rendering style and a first preset processing model; generating at least one first intermediate gradient image according to the image of the first rendering style, the image of the second rendering style, and a second preset processing model, the at least one first intermediate gradient image comprising an image in a process of gradient from the image of the first rendering style to the image of the second rendering style; generating a first gradient video according to the image of the first rendering style, at least one first intermediate gradient image, and an image of the second rendering style.

Abstract: The application shows a method, an apparatus, and an electronic device for processing an image. The method includes comprises: obtaining an image of a first rendering style; obtaining an image of a second rendering style according to the image of the first rendering style and a first preset processing model; generating at least one first intermediate gradient image according to the image of the first rendering style, the image of the second rendering style, and a second preset processing model, the at least one first intermediate gradient image comprising an image in a process of gradient from the image of the first rendering style to the image of the second rendering style; generating a first gradient video according to the image of the first rendering style, at least one first intermediate gradient image, and an image of the second rendering style.

Abstract: The disclosure can provide a method for converting an image, an apparatus for converting an image, an electronic device, and a storage medium. The method includes: obtaining an image in RAW format; obtaining a semantic analysis result of the image in RAW format by inputting the image in RAW format into a pre-trained first network model; the first network model being obtained by training based on a labeled training sample corresponding to each of a plurality of first training samples, the first training sample being a sample image in RAW format, and the labeled training sample being a sample image in RAW format obtained by labeling a semantic analysis result on the corresponding first training sample; and determining an image in RGB (Red-Green-Blue) format corresponding to the image in RAW format based on the semantic analysis result of the image in RAW format.

Abstract: The present disclosure provides an image processing method and apparatus, an electronic device and a storage medium. The method includes: acquiring an initial image and a corresponding style image with brightness and chroma being separately represented; determining a first to-be-processed area in the style image, and determining a second to-be-processed area corresponding to the first to-be-processed area in the initial image; replacing a brightness component of the first to-be-processed area with a brightness component of the second to-be-processed area for the style image; filtering a chroma component of the first to-be-processed area for the style image; and generating an output image according to a processed style image.

Abstract: The present invention provides a method and an apparatus for obtaining an address book, and a server. The method includes: performing matching in the address book according to a name to be searched for and entered by a user, to obtain to-be-sorted names; and obtaining a sorting attribute of the to-be-sorted names, sorting the to-be-sorted names according to the sorting attribute, and generating a name list, where the sorting attribute includes a department attribute or a department contact frequency. According to the method and apparatus for obtaining an address book, and the server in embodiments of the present invention, names that match a name to be searched for are sorted according to a sorting attribute, so that a user can find a desired name quickly and obtain corresponding contact information or other information, which saves the user's search time and improves user experience.

Abstract: Embodiments of the present invention relate to the network communications field and disclose a method and a device for contacting a contact person, so as to increase probability of contacting the contact person successfully at a single attempt and save user time and the operator's operation resources. The method for contacting the contact person includes: obtaining a current state of the contact person on a communications platform, where the current state indicates a state of the contact person on the communications platform at current time, and the state is determined according to an operation performed by the contact person on the communications platform or a terminal bound to the communications platform; determining a contact manner of the contact person, where the contact manner corresponds to the obtained current state; and setting the determined contact manner as a preferred contact manner of the contact person.