Abstract: 2-hydroxy-5-[2-(4-(trifluoromethylphenyl)ethylamino)]benzoic acid crystal forms and a preparation method therefor are proposed. Crystal form I is a monoclinic crystal system, which has a Pc space group and can be obtained by slow cooling, evaporating the solvent at a constant temperature, evaporating the solvent at an increased temperature, or adding an anti-solvent. Crystal form II is a triclinic crystal system, which has a P1 space group and can be obtained by rapid cooling or freeze-drying. According to the method, the process is simple, costs are low, and the yield exceeds 90%; and the crystal forms of the crystal forms I and II have high purity, the crystal shapes thereof are intact, and have excellent fluidity, facilitating preparation, particularly the preparation of a pharmaceutical preparation for preventing and/or treating degenerative diseases of the central nervous system. Furthermore, the two crystal forms have a better apparent solubility than that of raw materials.

Abstract: A face detection method for a computer device includes: obtaining a to-be-detected image; obtaining an initial shape of a current regression tree in a pre-constructed probability regression model; extracting image features from the to-be-detected image and respectively calculating a probability of each of leaf nodes of the current regression tree according to the image features; extracting an error of each of the leaf nodes; determining a shape error of the current regression tree according to the probability and the error of each of the leaf nodes; calculating an estimated shape of the current regression tree according to the initial shape and the shape error; and performing iterative calculation by using the estimated shape as an initial shape of a neighboring next regression tree until a last regression tree in the probability regression model, to obtain an estimated shape of the last regression tree as a detected face shape.

Abstract: An environmentally-friendly preparation method of a composition containing anti-inflammatory ingredients and use of the composition are provided. The method includes: S1. weighing a specified volume of water and adjusting the pH, adding Sophora flavescens roots, and subjecting a resulting mixture to extraction at a high temperature; S2. adjusting pH of an obtained solution in step S1, adding Glycyrrhiza inflata roots, and heating a resulting mixture to boiling for extraction; S3. adding Scutellaria baicalensis roots to an obtained boiling solution from the extraction in step S2, and subjecting a resulting mixture to extraction, filtration, and pH adjustment; S4. adding activated carbon to an obtained filtrate in step S3, and subjecting a resulting mixture to incubation and filtration; S5. adding a clarifying agent to an obtained filtrate in step S4, and subjecting a resulting mixture to standing and filtration; and S6. subjecting an obtained filtrate in step S5 to membrane separation.

Abstract: The present disclosure provides a method for calibrating a binocular camera, including: S2 of extracting feature points from an image set 1 and an image set 2 taken at two points separated from each other by a predetermined distance; S3 of fitting Gaussian distribution parameters of each feature point, and extracting a desired value as a theoretical disparity; S4 of selecting a common feature point, and calculating the predetermined quantity of frames at a first theoretical distance and the predetermined quantity of frames at a second theoretical distance; S5 of performing Gaussian fitting on a difference between the theoretical distances of the common feature point, and extracting a variance as an evaluation index; S6 of determining whether the evaluation index is smaller than a threshold, if yes, terminating the calibration, and otherwise, proceeding to S7; and S7 of adjusting posture parameters of the binocular camera, and returning to S3.

Abstract: A method and a system for detecting a long-distance target through a binocular camera, and an intelligent terminal are provided. The method includes the steps of: acquiring original images generated by the binocular camera at a target region, acquiring a disparity map in accordance with the original images, and converting the disparity map into a space information point cloud map; partitioning a predetermined target detection range into a plurality of sub-ranges in accordance with the space information point cloud map, and acquiring a disparity threshold segmentation image for each sub-range; calculating an integral image in accordance with each disparity threshold segmentation image, and acquiring a heatmap of an obstacle in accordance with the integral images; and reversely mapping a maximum matching region in the heatmap to the original image, so as to acquire a target ROI for the obstacle, thereby to acquire a position of the obstacle.

Abstract: This application relates to a voice encoding and sending method performed at a mobile terminal that is communicatively connected to a plurality of mobile terminals via a computer server. The method includes sending voice data to the plurality of mobile terminals; receiving, from one or more of the plurality of mobile terminals, one or more paths of Real-Time Transport Control Protocol (RTCP) packets based on the voice data received by the one or more mobile terminals; parsing the one or more paths of RTCP packets and generating current network status information from the RTCP packets; adjusting a quality of service (QoS) parameter according to the current network status information; and encoding and sending new voice data according to the adjusted QoS parameter.

Abstract: Aspects of the disclosure include a multi-band radio system comprising a first wireless-communication channel having a first antenna to transmit and receive first wireless signals, and a second wireless communication channel having a second antenna to transmit and receive second wireless signals, a power amplifier to amplify the second wireless signals, and a matching network to control a phase angle of the second wireless signals between the second antenna and the power amplifier.

Abstract: An environmentally-friendly preparation method of a composition containing anti-inflammatory ingredients and use of the composition are provided. The method includes: S1. weighing a specified volume of water and adjusting the pH, adding Sophora flavescens roots, and subjecting a resulting mixture to extraction at a high temperature; S2. adjusting pH of an obtained solution in step S1, adding Glycyrrhiza inflata roots, and heating a resulting mixture to boiling for extraction; S3. adding Scutellaria baicalensis roots to an obtained boiling solution from the extraction in step S2, and subjecting a resulting mixture to extraction, filtration, and pH adjustment; S4. adding activated carbon to an obtained filtrate in step S3, and subjecting a resulting mixture to incubation and filtration; S5. adding a clarifying agent to an obtained filtrate in step S4, and subjecting a resulting mixture to standing and filtration; and S6. subjecting an obtained filtrate in step S5 to membrane separation.

Abstract: The present disclosure provides a method for calibrating a binocular camera, including: S2 of extracting feature points from an image set 1 and an image set 2 taken at two points separated from each other by a predetermined distance; S3 of fitting Gaussian distribution parameters of each feature point, and extracting a desired value as a theoretical disparity; S4 of selecting a common feature point, and calculating the predetermined quantity of frames at a first theoretical distance and the predetermined quantity of frames at a second theoretical distance; S5 of performing Gaussian fitting on a difference between the theoretical distances of the common feature point, and extracting a variance as an evaluation index; S6 of determining whether the evaluation index is smaller than a threshold, if yes, terminating the calibration, and otherwise, proceeding to S7; and S7 of adjusting posture parameters of the binocular camera, and returning to S3.

Abstract: A face detection method for a computer device includes: obtaining a to-be-detected image; obtaining an initial shape of a current regression tree in a pre-constructed probability regression model; extracting image features from the to-be-detected image and respectively calculating a probability of each of leaf nodes of the current regression tree according to the image features; extracting an error of each of the leaf nodes; determining a shape error of the current regression tree according to the probability and the error of each of the leaf nodes; calculating an estimated shape of the current regression tree according to the initial shape and the shape error; and performing iterative calculation by using the estimated shape as an initial shape of a neighboring next regression tree until a last regression tree in the probability regression model, to obtain an estimated shape of the last regression tree as a detected face shape.

Abstract: This application provides a facial animation implementation method performed at a computing device. The method includes: capturing a facial image; extracting facial feature points in the facial image; comparing the facial feature points with standard feature points, to obtain a first deformation coefficient corresponding to a geometrical feature; extracting a local region according to the facial feature points for processing, to obtain a second deformation coefficient corresponding to an appearance feature; and driving a three-dimensional virtual object according to the first deformation coefficient and the second deformation coefficient to perform a corresponding expression.

Abstract: A face detection method for a computer device includes: obtaining a to-be-detected image; obtaining an initial shape of a current regression tree in a pre-constructed probability regression model; extracting image features from the to-be-detected image and respectively calculating a probability of each of leaf nodes of the current regression tree according to the image features; extracting an error of each of the leaf nodes; determining a shape error of the current regression tree according to the probability and the error of each of the leaf nodes; calculating an estimated shape of the current regression tree according to the initial shape and the shape error; and performing iterative calculation by using the estimated shape as an initial shape of a neighboring next regression tree until a last regression tree in the probability regression model, to obtain an estimated shape of the last regression tree as a detected face shape.

Abstract: Provided is a binocular camera depth calibration method, a binocular camera depth calibration device, a binocular camera depth calibration system and a storage medium. The method includes: acquiring a plurality of groups of images of a 2D code calibration board at different positions so as to acquire disparity maps of the 2D code calibration board; acquiring a 2D code template image of a target region; matching the 2D code template image, so as to determine and store matching region information; determining a position of the 2D code template image in each disparity map in accordance with the matching region information, and calculating an average disparity value of the 2D code template image at the position; acquiring a plurality of groups of average disparity values, and calculating a final disparity value; and calibrating a depth of a binocular camera.

Abstract: Provided is a binocular camera depth calibration method, a binocular camera depth calibration device, a binocular camera depth calibration system and a storage medium. The method includes: acquiring a plurality of groups of images of a 2D code calibration board at different positions so as to acquire disparity maps of the 2D code calibration board; acquiring a 2D code template image of a target region; matching the 2D code template image, so as to determine and store matching region information; determining a position of the 2D code template image in each disparity map in accordance with the matching region information, and calculating an average disparity value of the 2D code template image at the position; acquiring a plurality of groups of average disparity values, and calculating a final disparity value; and calibrating a depth of a binocular camera.

Abstract: In a method for facial feature point tracking, facial feature points of a face in a previous image of a to-be-tracked image are acquired in an image sequence. Facial feature point errors between the to-be-tracked image and the previous image are determined based on a preset error model and pixels in the to-be-tracked image. The facial feature point errors indicate differences between first coordinates of facial feature points in the to-be-tracked image, and second coordinates of facial feature points at corresponding positions in the previous image. The preset error model is trained based on facial feature points in a plurality of pairs of adjacent reference images. Further, the facial feature points of the face in the to-be-tracked image are determined based on the facial feature points of the face in the previous image and the facial feature point errors between the to-be-tracked image and the previous image.

Abstract: This application relates to a voice encoding and sending method performed at a mobile terminal that is communicatively connected to a plurality of mobile terminals via a computer server. The method includes sending voice data to the plurality of mobile terminals; receiving, from one or more of the plurality of mobile terminals, one or more paths of Real-Time Transport Control Protocol (RTCP) packets based on the voice data received by the one or more mobile terminals; parsing the one or more paths of RTCP packets and generating current network status information from the RTCP packets; adjusting a quality of service (QoS) parameter according to the current network status information; and encoding and sending new voice data according to the adjusted QoS parameter.

Abstract: A method, information processing apparatus, and a non-transitory computer-readable storage medium are provided. In the method, a location of an edge of an eye in a first image of a face is determined. An area of the first image based on the determined location is determined. The area of the first image is divided into first and second subareas based on pixel values of the area of the first image. The first subarea includes the pixel values of a first range and the second subarea includes the pixel values of a second range, and an average pixel difference of the first and second ranges is greater than a threshold. The location of the pupil is determined based on a location of one of the first and second subareas when the average pixel difference of the first and second ranges is greater than the threshold.

Abstract: The present disclosure relates to the technical field of air conditioners, and in particular to a control method of air deflectors of an air conditioner, and the air conditioner. In the control method of the air deflectors of the air conditioner, after a startup command is received, before the air deflectors of the air conditioner move from an air outlet of the air conditioner to preset positions, the air deflectors start to rotate for unfolding, wherein the preset positions are final positions where the air deflectors move outward and downward relative to the air outlet, and the process when the air deflectors move outward and downward is partially overlapped with the process when the air deflectors rotate for unfolding in time.

Abstract: This application relates to a voice encoding and sending method performed at a computer implemented system. The method includes sending voice data from at least one mobile terminal to at least one different mobile terminal; receiving at least one path of Real-Time Transport Control Protocol (RTCP) packet based on the voice data; parsing the at least one path of the RTCP packet, to obtain network status information; obtaining comprehensive network status information by means of statistics of the network status information; and adjusting a quality of service (QoS) parameter according to the comprehensive network status information, and encoding and sending the voice data according to the adjusted QoS parameter.

Abstract: A real-time call method performed by a calling side, the calling side being a Voice over Internet Protocol (VoIP) terminal, includes: initiating a multi-party voice call request to a signaling server, wherein terminals that are specified in the multi-party voice call request includes a telephone terminal; establishing a data channel according to a remote access address returned by the signaling server in response to the multi-party voice call request; and performing a multi-party voice call based on establishment of data channels of the terminals according to the remote access address, wherein the telephone terminal establishes a data channel according to the remote access address by using a gateway device.