Abstract: A facial expression synthesis method is provided. The method includes obtaining a to-be-processed facial image of a target object, and processing the to-be-processed facial image by using a face-recognition operation, to obtain skin color information of the to-be-processed facial image; screening out a target expression-material image, from a plurality of expression-material images in an expression-material image library, matching the skin color information; extracting a region image corresponding to a target synthesis region in the target expression-material image; and performing Poisson fusion processing on the region image and the to-be-processed facial image to fuse the region image with the to-be-processed facial image, so as to obtain a target facial image of the target object.

Abstract: An antenna system, including a receiver set, a transmitter set, and an antenna array, where the receiver set includes a plurality of receivers, and the transmitter set includes a plurality of transmitters; the antenna array includes a first antenna unit set and a second antenna unit set; the first antenna unit set includes at least one first target antenna unit, and the second antenna unit set includes at least one second target antenna unit; and any one of the at least one first target antenna unit is connected to any receiver in the receiver set, and any one of the at least one second target antenna unit is connected to any transmitter in the transmitter set.

Abstract: A method, apparatus, and storage medium for training a neural network model used for image processing are described. The method includes: obtaining a plurality of video frames; inputting the plurality of video frames through a neural network model so that the neural network model outputs intermediate images; obtaining optical flow information between an early video frame and a later video frame; modifying an intermediate image corresponding to the early video frame according to the optical flow information to obtain an expected-intermediate image; determining a time loss between an intermediate image corresponding to the later video frame and the expected-intermediate image; determining a feature loss between the intermediate images and a target feature image; and training the neural network model according to the time loss and the feature loss, and returning to obtaining a plurality of video frames continue training until the neural network model satisfies a training finishing condition.

Abstract: Described herein are compounds, pesticidally acceptable salts thereof, and compositions thereof that are useful, for example, for pest management and for controlling pests. In certain embodiments provided are enantioenriched and/or enantiopure compounds and pesticidally acceptable salts thereof, and methods of making same. Methods of controlling pests with the compounds of the disclosure are also provided.

Abstract: The present invention relates to a novel crystalline form of deltamethrin, which is a pyrethroid compound useful as a pest control agent. The present invention further relates to a process of preparing the novel crystalline form, and to methods of controlling pests using the novel crystalline form.

Abstract: In a multi-person pose recognition method, a to-be-recognized image is obtained, and a circuitous pyramid network is constructed. The circuitous network pyramid includes parallel phases, and each phase includes downsampling network layers, upsampling network layers, and a first residual connection layer to connect the downsampling and upsampling network layers. The phases are interconnected by a second residual connection layer. The circuitous pyramid network is traversed, by extracting a feature map for each phase, and the feature map of the last phase is determined to be the feature map of the to-be-recognized image. Multi-pose recognition is then performed on the to-be-recognized image according to the feature map to obtain a pose recognition result for the to-be-recognized image.

Abstract: A signal transmission method is performed by a base station. The method includes: determining, a first carrier signal that is to be sent in a first cell on a first carrier and a second carrier signal that is to be sent in a second cell on a second carrier; mapping, the first carrier signal and the second carrier signal to N physical ports of an RRU, so that within a same OFDM symbol, a type B symbol used to transmit a pilot in the first carrier signal and a type B symbol used to transmit a pilot in the second carrier signal are mapped to different physical ports, and a total power of signals sent on each of N physical channels is not greater than a rated power of the RRU; and sending, the first carrier signal and the second carrier signal through the N physical ports.

Abstract: A flexible array substrate has a main display area, and includes a flexible substrate and a plurality of signal connecting portions. The flexible substrate includes at least one bent portion extending from at least one side of the main display area. The plurality of signal connecting portions are disposed at a side of the at least one bent portion away from the main display area. A plurality of signal lines are disposed on a first surface of the flexible substrate in the main display area. The plurality of signal connecting portions are configured to electrically connect the plurality of signal lines to at least one driving circuit. The at least one bent portion is configured to bend toward a second surface of the flexible substrate opposite to the first surface.

Abstract: A signal transmission method includes: processing, by a base station, a first baseband signal, a second baseband signal, a third baseband signal, and a fourth baseband signal by using a VAM matrix, to obtain four processed signals; performing precoding processing on the four processed signals to obtain four coded signals; and sending the four coded signals to a mobile terminal by using four radio frequency ports. The four radio frequency ports are in a one-to-one correspondence with the four coded signals. A first processed signal is the same as a third processed signal, a second processed signal is the same as a fourth processed signal. The first processed signal is obtained by performing superposition on the first baseband signal and the third baseband signal, and the second processed signal is obtained by performing superposition on the second baseband signal and the fourth baseband signal.

Abstract: An augmented reality processing method is provided for a terminal. The method includes: obtaining a plurality of frames of images, comprising a first image and a second image, which is a frame of an image immediately following the first image; obtaining a key point set of a first object in the first image; obtaining, through a neural network model, first pose key point sets respectively corresponding to a plurality of objects in the second image; determining a second pose key point set of the first object in the second image according to the key point set and a motion trend of the first object; using a target first pose key point set as a key point set of the first object in the second image; and generating an augmented information image according to the key point set of the first object in the second image.

Abstract: A video image processing method and apparatus is described. The method includes obtaining a first key point of an Mth frame image in a video. The method further includes performing weighted smoothing on the first key point of the Mth frame image according to first key points in a historical key point queue and weights in a first target weight queue, to obtain a target key point. The historical key point queue includes a first key point corresponds to each frame image in N frame images. The N frame images are images before the Mth frame image, N>0. The weights in the first target weight queue corresponding to the first key points in the historical key point queue, A weight corresponding to a first key point of an (M-a)th frame image being greater than or equal to a weight corresponding to a first key point of an (M-b)th frame image, and a<b. The method further includes adjusting the Mth frame image according to the target key point.

Abstract: Embodiments of this application disclose a camera attitude tracking method and apparatus, a device, and a system in the field of augmented reality (AR). The method includes receiving, by a second device with a camera, an initial image and an initial attitude parameter that are transmitted by a first device; obtaining, by the second device, a second image acquired by the camera; obtaining, by the second device, a camera attitude variation of the second image relative to the initial image; and obtaining, by the second device, according to the initial attitude parameter and the camera attitude variation, a second camera attitude parameter, the second camera attitude parameter corresponding to the second image.

Abstract: Embodiments of this application disclose a video data processing method and apparatus, and a storage medium. After historical and current video frames are acquired from a video stream, two point position sets of a human body are obtained from the historical video frame and the current video frame, respectively. A jitter amplitude of a human body key point in the current video frame is analyzed according to the point position set of the human body in the current video frame and the point position set of the human body in the historical video frame; an adjustment reference position of the human body in the current video frame is determined according to the jitter amplitude; and subsequently a human body part below the adjustment reference position in the current video frame is adjusted and the adjusted current video frame is outputted for display as part of the video stream.

Abstract: A polarizer, a display panel and a display device are disclosed. The polarizer includes a view area (VA) and a peripheral area. A notch is disposed in the peripheral area. A side of the notch away from the view area is configured to place a circuit board.

Abstract: The present disclosure relates to the field of communication devices and in particular, to a mobile device and a method for manufacturing the mobile device. The mobile device includes: a metal middle frame, a glass back shell covering the metal middle frame, and an FPC antenna disposed on an inner surface of the glass back shell. The FPC antenna includes a flexible substrate layer and a metal pattern layer attached to the flexible substrate layer, the flexible substrate layer is laminated onto the inner surface of the glass back shell, the metal pattern layer is formed on a surface of the flexible substrate layer by a LDS process, the FPC antenna is electrically connected to the metal middle frame, and the inner surface of the glass back shell faces the metal middle frame. The FPC antenna in the mobile device provided by the present disclosure has a better performance.

Abstract: The present disclosure provides a display substrate, a display device, a control method and a control circuit. The display substrate includes a bending area. The bending area includes a plurality of first sub-pixels and a plurality of other sub-pixels having a light emission color different from a light emission color of the first sub-pixels. The plurality of first sub-pixels are electrically connected to a first power supply voltage terminal for providing a first power supply voltage. The other sub-pixels are electrically connected to other power supply voltage terminals different from the first power supply voltage terminal.

Abstract: A facial expression synthesis method is provided. The method includes obtaining a to-be-processed facial image of a target object, and processing the to-be-processed facial image by using a face-recognition operation, to obtain skin color information of the to-be-processed facial image; screening out a target expression-material image, from a plurality of expression-material images in an expression-material image library, matching the skin color information; extracting a region image corresponding to a target synthesis region in the target expression-material image; and performing Poisson fusion processing on the region image and the to-be-processed facial image to fuse the region image with the to-be-processed facial image, so as to obtain a target facial image of the target object.

Abstract: Embodiments of the present invention disclose a method for transmitting base station data. The method includes the following steps: receiving a precoding matrix indication PMI value and reference signal received power RSRP that are sent by user equipment; determining, based on the PMI value, a network area group corresponding to the user equipment; and determining, based on the RSRP, a network area in which the user equipment is located. The present invention has the advantage of avoiding interference between network areas.

Abstract: An antenna port mapping method and a network device are disclosed. The method includes: determining, by a network device, a polarization direction of each of P physical antennas of the network device and an antenna array to which each of the P physical antennas belongs, where P is a multiple of 4; and respectively mapping, by the network device, a first antenna port and a second antenna port to a first group of physical antennas and a second group of physical antennas in the P physical antennas, and respectively mapping a third antenna port and a fourth antenna port to a third group of physical antennas and a fourth group of physical antennas in the P physical antennas.

Abstract: Embodiments of the present disclosure provide an image recognition method and apparatus, an electronic device, and a readable storage medium. The method for image recognition includes the steps of obtaining a to-be-recognized feature of a to-be-recognized image, the to-be-recognized image comprising a target person; obtaining a preset body model feature of a body frame image, the body model feature comprising locations of joints in the body frame image; inputting the to-be-recognized feature and the body model feature to a pre-constructed joint prediction model, the joint prediction model being obtained through training a neural network by using minimum respective differences between real locations of joints in a sample image and predicted locations of the corresponding joints as a training objective; and obtaining predicted locations of joints of the target person in the to-be-recognized image based on the joint prediction model.