Abstract: A method for building an image enhancement model includes obtaining training data; building a neural network model consisting of a feature extraction module, at least one channel dilated convolution module and a spatial upsampling module, where each channel dilated convolution module includes a spatial downsampling submodule, a channel dilation submodule and a spatial upsampling submodule; training the neural network model by using the video frames and the standard images corresponding to the video frames until the neural network model converges, to obtain an image enhancement model. In addition, a method for image enhancement includes obtaining a video frame to be processed; taking the video frame to be processed as an input of an image enhancement model, and taking an output result of the image enhancement model as an image enhancement result of the video frame to be processed.

Abstract: A method and apparatus for generating an image are provided. The method comprises: acquiring key point information of at least one of the five sense organs in a real facial image; according to the key point information, determining a target area where the five sense organs are located in a first cartoon facial image, wherein the first cartoon facial image is generated by means of the real facial image; and adding the five pre-established sense organ material to the target area to generate a second cartoon facial image.

Abstract: Techniques are disclosed for early detection of fan failure in a computing device, such as a server. A management device located in the computing device or remote from the computing device can receive information about the fan duty and use the fan duty information to determine a safe fan speed below which future or imminent fan failure can be inferred. The management device can receive the current speed of the fan and compare it with the safe fan speed to determine if the fan is likely to fail, in which case the management device can direct the computing device to perform mitigation action and/or a maintenance warning can be sent. The maintenance warning can result in replacement of the failing or soon-to-fail fan.

Abstract: A method for video frame interpolation, a related electronic device and a storage medium is disclosed. A video is obtained. An (i?1)th frame and an ith frame of the video are obtained. Visual semantic feature maps and depth maps of the (i?1)th frame and the ith frame are obtained. Frame interpolation information is obtained based on the visual semantic feature maps and the depth maps. An interpolated frame between the (i?1)th frame and the ith frame is generated based on the frame interpolation information and the (i?1)th frame and is inserted between the (i?1)th frame and the ith frame.

Abstract: A system and method for tracking the components of a computing device is disclosed. Each of the components of the computing devices includes identification data. At least one bus is coupled to the components. A memory device stores identification information corresponding with each of the components. A management controller is coupled to the bus and the memory device. The management controller periodically requests identification data from each of the components over the bus. The management controller receives the requested identification data from each of the components. The management controller compares the received identification data with the stored identification data to determine if any of the components has been replaced.

Abstract: A defective soldering point intensive extent analysis system for solder paste inspection and a method thereof are disclosed. After the circuit board is set with soldering pastes, the solder paste inspection can immediately detect a circuit board to generate a detection log, the information of defective soldering points in the detection log is analyzed to determine an aggregate of the defective soldering points set on the circuit board, so as to find a defective soldering point area, and generate and display defective soldering point alert information according to statistics of the defective soldering point area, thereby achieving the technical effect of conveniently analyzing the defective soldering points on the circuit board for accurate repair.

Abstract: The invention provides methods of treating a subject having or at risk of cancer by administering a LIV-1 antibody drug conjugate and a chemotherapeutic.

Abstract: The present invention provides a phosphorus-containing compound characterized by being a compound represented by the following structure: the compound is a novel immune cell migration inhibitor. The compound has good hydrophilicity and can be developed into eye drops. The compound has a strong inhibitory ability to immune cell migration and can relieve the symptoms of most dry-eye patients.

Abstract: The present disclosure provides a method and apparatus for extracting a video preview, a device and a computer storage medium. The method comprises: inputting a video into a video classification model obtained by pre-training; obtaining weights of respective video frames output by an attention module in the video classification model; extracting continuous N video frames whose total weight value satisfies a preset requirement, as the video preview of the target video, N being a preset positive integer. It is possible to, in the manner provided by the present disclosure, automatically extract continuous video frames from the video as the video preview, without requiring manual clipping, and with manpower costs being reduced.

Abstract: An ultrasound scanning control method applied to an ultrasound scanning device is provided. The ultrasound scanning device includes an execution mechanism. The execution mechanism includes a mechanical arm and a probe. The ultrasound scanning control method includes: controlling the mechanical arm to drive the probe to move according to a set scanning trajectory; and controlling the probe to collect an ultrasound image. A target region is identified from the collected ultrasound image. The scanning trajectory is adjusted when a position of the target region in the ultrasound image is not a predetermined position, and the mechanical arm is controlled to drive the probe to move according to the adjusted scanning trajectory.

Abstract: An apparatus for a lighting device with a rotatable support includes a lamp body, the lamp body is provided with the support capable of rotating relative to the lamp body, the support is provided with a magnetic block, and a lighting port of the lamp body is arranged on the side wall of the lamp body toward the direction of the rotation center line of the support. When the adjustable lighting device is used, the support is fixed on a metal object in a place to be illuminated through the magnetic block and the side face direction of the lighting port of the lamp body can be adjusted by adjusting the lamp body to rotate relative to the support, and therefore the side face lighting angle of the lighting port is adjusted, and due to the fact that the lamp body can rotate relative to the support at any angle, stepless adjustment of the side lighting angle of the lighting port can be achieved.

Abstract: A method, device, apparatus for predicting a video coding complexity and a computer-readable storage medium are provided. The method includes: acquiring an attribute feature of a target video; extracting a plurality of first target image frames from the target video; performing a frame difference calculation on the plurality of the first target image frames, to acquire a plurality of first frame difference images; determining a histogram feature for frame difference images of the target video according to a statistical histogram of each first frame difference image; and inputting a plurality of features of the target video into a coding complexity prediction model to acquire a coding complexity prediction value of the target video. Through the above method, the BPP prediction value can be acquired intelligently.

Abstract: A method and an apparatus for classifying a video are provided. The method may include: acquiring a to-be-classified video; extracting a set of multimodal features of the to-be-classified video; inputting the set of multimodal features into a post-fusion model corresponding to each modal respectively, to obtain multimodal category information of the to-be-classified video; and fusing the multimodal category information of the to-be-classified video, to obtain category information of the to-be-classified video. This embodiment improves the accuracy of video classification.

Abstract: There is provided a method and an apparatus of processing image, an electronic device, and a storage medium, which relates to a field of artificial intelligence technology, and specifically relates to a computer vision and deep learning technology applied to an image acquisition scene. The method includes performing a saliency detection on an original image to obtain a saliency map of the original image; performing a semantic segmentation on the original image to obtain a semantic segmentation map of the original image; modifying the saliency map by using the semantic segmentation map, so as to obtain a target map containing a target object; and cropping the original image based on a position of the target object in the target map.

Abstract: The present disclosure provides a model training method, an identification method, device, storage medium and program product, relating to computer vision technology and deep learning technology. In the solution provided by the present application, the image is deformed by the means of deforming the first training image without label itself, and the first unsupervised identification result is obtained by using the first model to identify the image before deformation, and the second unsupervised identification result is obtained by using the second model to identify the image after deformation, and the first unsupervised identification result of the first model is deformed, thus a consistency loss function can be constructed according to the second unsupervised identification result and the scrambled identification result. In this way, it is able to enhance the constraint effect of the consistency loss function and avoid destroying the scene semantic information of the images used for training.

Abstract: The present disclosure provides a method and apparatus for detecting a region of interest in a video, a device and a storage medium. The method may include: acquiring a current to-be-processed frame from a picture frame sequence of a video; detecting a region of interest (ROI) in the current to-be-processed frame, in response to determining that the current to-be-processed frame is a detection picture frame, to determine at least one ROI in the current to-be-processed frame; and updating a to-be-tracked ROI, based on the ROI in the current to-be-processed frame and a tracking result determined by a pre-order tracking picture frame; and tracking the current to-be-processed frame based on the existing to-be-tracked ROI, in response to determining that the current to-be-processed frame is a tracking picture frame, to determine at least one tracking result as the ROI of the current to-be-processed frame.

Abstract: Techniques are disclosed for early detection of fan failure in a computing device, such as a server. A management device located in the computing device or remote from the computing device can receive information about the fan duty and use the fan duty information to determine a safe fan speed below which future or imminent fan failure can be inferred. The management device can receive the current speed of the fan and compare it with the safe fan speed to determine if the fan is likely to fail, in which case the management device can direct the computing device to perform mitigation action and/or a maintenance warning can be sent. The maintenance warning can result in replacement of the failing or soon-to-fail fan.

Abstract: A method for video frame interpolation, a related electronic device and a storage medium is disclosed. A video is obtained. An (i?1)th frame and an ith frame of the video are obtained. Visual semantic feature maps and depth maps of the (i?1)th frame and the ith frame are obtained. Frame interpolation information is obtained based on the visual semantic feature maps and the depth maps. An interpolated frame between the (i?1)th frame and the ith frame is generated based on the frame interpolation information and the (i?1)th frame and is inserted between the (i?1)th frame and the ith frame.

Abstract: A meme generation method, an electronic device, and a storage medium are provided. The method includes: determining a plurality of second expression images corresponding to a target face image based on a plurality of first expression images contained in a first meme; generating a second meme corresponding to the target face image based on the plurality of second expression images corresponding to the target face image; wherein, determining an affine transformation parameter between the target face image and an i-th first expression image in the plurality of first expression images according to a corresponding relation between a face key point in the target face image and a face key point in the i-th first expression image; and transforming the target face image based on the affine transformation parameter to obtain an i-th second expression image corresponding to the target face image.

Abstract: The disclosure discloses a cartoonlization processing method for an image, and relates to a field of computational vision, image processing, face recognition, deep learning technologies. The method includes: performing skin color recognition on a facial image to be processed to determine a target skin color of a face in the facial image; processing the facial image by utilizing any cartoonizing model in a cartoonizing model set to obtain a reference cartoonized image corresponding to the facial image in a case that the cartoonizing model set does not contain a cartoonizing model corresponding to the target skin color; determining a pixel adjustment parameter based on the target skin color and a reference skin color corresponding to the any cartoonizing model; and adjusting a pixel value of each pixel point in the reference cartoonized image based on the pixel adjustment parameter, to obtain a target cartoonized image corresponding to the facial image.