Abstract: A target tracking method is provided for a computer device. The method includes determining a target candidate region of a current image frame; capturing a target candidate image matching the target candidate region from the current image frame; determining a target region of the current image frame according to an image feature of the target candidate image; determining motion prediction data of a next image frame relative to the current image frame by using a motion prediction model and according to the image feature of the target candidate image; and determining a target candidate region of the next image frame according to the target region and the motion prediction data.

Abstract: A platform for processing a workpiece includes a transmission mechanism, a plurality of workstations and a plurality of movable vehicles. The transmission mechanism transports the workpiece to be processed to one of the plurality of workstations. Each movable vehicle includes a processing module and a docking interface adapted to connect with a docking station of each workstation. The movable vehicles are each adapted to move in and out of each workstation, and each processing module is adapted to process the workpiece transmitted to the workstation after the movable vehicle is moved in and positioned in the workstation.

Abstract: The present disclosure relates to a system and method for digital radiography. The system may include an X-ray generation module, an X-ray acquisition module, a control module, a support module and a power supply module. The system may include one or more moving components. The X-ray acquisition module may have different configurations, such as a vertical configuration, a horizontal configuration and a free-style configuration. The control module may be configured for controlling the motion of the moving components, the selection of an X-ray acquisition module of a specific configuration, and parameters of the X-ray exposure and image acquisition. The support module may include a system of guiding rails. The power supply module may include a supercapacitor.

Abstract: The present disclosure belongs to the technical field of welding materials, and in particular relates to a Fe—Ni based alloy welding wire for welding 800H alloy and a preparation method thereof and a method for welding 800H alloy. The Fe—Ni based alloy welding wire for welding 800H alloy provided by the present disclosure has a reasonable chemical components, and after being used to weld 800H alloy, the obtained weld has a tensile strength of 557.6 MPa and an elongation of 37.5% at ambient temperature, and has a tensile strength of 420 MPa and an elongation of 17.25% at a temperature of 650° C.

Abstract: The present disclosure discloses an infrared radiation slurry and an infrared radiation heating element based on the infrared radiation slurry. Raw materials of the infrared radiation slurry include high infrared radiance materials, a conductive material and a substrate adhesive. The raw materials are evenly mixed, coated on a quartz glass tube, and carbonized to obtain the infrared radiation heating element. The present disclosure utilizes the compounded infrared radiation slurry to form a coating on a glass substrate with uniform components, uniform and controllable resistance, high conversion efficiency of electrothermal radiation, and strong adhesion, thereby achieving excellent performance of the obtained infrared radiation heating element.

Abstract: An image super-resolution method includes performing frequency domain transformation on a first image to obtain a spectral feature of the first image, the spectral feature representing a distribution of a grayscale gradient in the first image. The method further includes performing blur kernel prediction based on the spectral feature to obtain a blur kernel of the first image, the blur kernel being a convolution kernel. The method also includes performing super-resolution processing on the first image based on the blur kernel to generate a super-resolved image, a definition of the super-resolved image being higher than a definition of the first image.

Abstract: A facial image processing method includes: obtaining first optical flow information; obtaining, based on the first optical flow information, second optical flow information through an optical flow information prediction sub-model of an image processing model; generating, based on the first facial sample image and the second optical flow information, a predicted image of the first facial sample image through a generator of the image processing model; discriminating the predicted image and the second facial sample image through a discriminator of the image processing model to obtain a first discrimination result and a second discrimination result; and training the image processing model based on the first discrimination result, the second discrimination result, the predicted image, the second facial sample image, the first optical flow information, and the second optical flow information.

Abstract: Embodiments of this application disclose an image style conversion method performed by an electronic device. The method includes: performing quality enhancement on a first target style image to obtain a second target style image; performing feature extraction on the second target style image to obtain a target style feature; performing migration training on a preset target style conversion model by using a full style conversion model and the target style feature to obtain a target style conversion model; inputting a full style feature, the target style feature, and a to-be-converted image into the target style conversion model, and performing style conversion on the to-be-converted image using the target style conversion model to obtain a target image conforming to a target style.

Abstract: The present disclosure belongs to the technical field of welding materials, and in particular relates to a Fe—Ni based alloy welding wire for welding 800H alloy and a preparation method thereof and a method for welding 800H alloy. The Fe—Ni based alloy welding wire for welding 800H alloy provided by the present disclosure has a reasonable chemical components, and after being used to weld 800H alloy, the obtained weld has a tensile strength of 557.6 MPa and an elongation of 37.5% at ambient temperature, and has a tensile strength of 420 MPa and an elongation of 17.25% at a temperature of 650° C.

Abstract: An image processing method includes performing additional image feature extraction on a training source face image to obtain a source additional image feature, performing identity feature extraction on the training source face image to obtain a source identity feature, inputting a training template face image into an encoder in a to-be-trained face swapping model to obtain a face attribute feature, inputting the source additional image feature, the source identity feature, and the face attribute feature into a decoder in the face swapping model for decoding to obtain a decoded face image, obtaining a target model loss value based on an additional image difference between the decoded face image and a comparative face image, and adjusting the model parameters of the encoder and the decoder based on the target model loss value to obtain the trained face swapping model.

Abstract: A face image processing method and apparatus, a face image display method and apparatus, and a device are provided, belonging to the technical field of image processing. The method includes: acquiring a first face image of a person; invoking an age change model to predict a texture difference map of the first face image at a specified age, the texture difference map being used for reflecting a texture difference between a face texture in the first face image and a face texture of a second face image of the person at the specified age; and performing image processing on the first face image based on the texture difference map to obtain the second face image.

Abstract: A method, an apparatus, and a device for image processing and a training method thereof are provided. The training method includes obtaining a sample image set, the sample image set comprising a first number of sample images; constructing an image feature set based on the sample image set, the image feature set comprising an image feature extracted from each of the sample images in the sample image set; obtaining a training image set, the training image set comprising a second number of training images; constructing multiple training image pairs based on the training image set and the image feature set; and training the image processing model based on the multiple training image pairs.

Abstract: This application relates to an image processing method and apparatus, a facial recognition method and apparatus, a computer device, and a readable storage medium.

Abstract: A power unit includes: a DC/DC conversion circuit; a bypass circuit, including a mechanical switch, an impedance network, and a semiconductor switch, wherein the semiconductor switch and the impedance network are connected in series to form a series branch, the series branch, the mechanic switch and the DC/DC conversion circuit are connected in parallel between a positive end and a negative end at one side of the power unit; a detecting unit, configured to detect a working signal of the DC/DC conversion circuit and generate a detection signal according to the working signal; and a controller, configured to, when the fault occurs in the DC/DC conversion circuit, output a first control signal to a control end of the mechanical switch and output a second control signal to a control end of the semiconductor switch.

Abstract: The present disclosure provides a conversion system with a high voltage side and a low voltage side, including: a plurality of power units, each power unit including: a plurality of DC/DC converters, when in normal operation, one part of DC/DC converters being in a working state and other DC/DC converters being in a cold backup state; a plurality of bypass circuits connected in parallel to the corresponding DC/DC converters; a detection unit connected to each DC/DC converter, and detects the DC/DC converter; and a control unit coupled to the detection unit and each of the plurality of DC/DC converters; and a main control unit coupled with each control unit and configured to receive the preset signal of respective control unit and outputs a bypass signal and a release signal to the corresponding control unit according to the preset signal.

Abstract: This application relates to feature point positioning technologies. The technologies involve positioning a target area in a current image; determining an image feature difference between a target area in a reference image and the target area in the current image, the reference image being a frame of image that is processed before the current image and that includes the target area; determining a target figure point location of the target area in the reference image; determining a target feature point location difference between the target area in the reference image and the target area in the current image according to a feature point location difference determining model and the image feature difference; and positioning a target feature point in the target area in the current image according to the target feature point location of the target area in the reference image and the target feature point location difference.

Abstract: The present disclosure relates to a system and method for digital radiography. The system may include an X-ray generation module, an X-ray acquisition module, a control module, a support module and a power supply module. The system may include one or more moving components. The X-ray acquisition module may have different configurations, such as a vertical configuration, a horizontal configuration and a free-style configuration. The control module may be configured for controlling the motion of the moving components, the selection of an X-ray acquisition module of a specific configuration, and parameters of the X-ray exposure and image acquisition. The support module may include a system of guiding rails. The power supply module may include a supercapacitor.

Abstract: A straw-based pot body blanket seedling growth substrate using straw fibres as a framework, utilising an enhancer, a retention aid and a wet strength agent as additives, and being prepared from composite decomposed livestock manure, perlite and vermiculite, the addition amount of the straw fibres being 60-70 v/v %, the addition amount of the decomposed livestock manure being 5-10 v/v %, the addition amount of the perlite being 5-10 v/v %, the addition amount of the vermiculite being 5-10 v/v %. The pot body blanket seedling growth substrate is suitable for cutting and easily implementing fully automated transplantation, is beneficial for root growth, shortens seeding growth periods, and increases seedling growth bed emergence rates. The pot body blanket seedling growth substrate may be applied to solanaceae seedling growth, and can also provide a block-shaped substrate for landscape flowers and plants in a three-dimensional arrangements.

Abstract: The present disclosure relates to a system and method for digital radiography. The system may include an X-ray generation module, an X-ray acquisition module, a control module, a support module and a power supply module. The system may include one or more moving components. The X-ray acquisition module may have different configurations, such as a vertical configuration, a horizontal configuration and a free-style configuration. The control module may be configured for controlling the motion of the moving components, the selection of an X-ray acquisition module of a specific configuration, and parameters of the X-ray exposure and image acquisition. The support module may include a system of guiding rails. The power supply module may include a supercapacitor.

Abstract: This application relates to feature point positioning technologies. The technologies involve positioning a target area in a current image; determining an image feature difference between a target area in a reference image and the target area in the current image, the reference image being a frame of image that is processed before the current image and that includes the target area; determining a target figure point location of the target area in the reference image; determining a target feature point location difference between the target area in the reference image and the target area in the current image according to a feature point location difference determining model and the image feature difference; and positioning a target feature point in the target area in the current image according to the target feature point location of the target area in the reference image and the target feature point location difference.