Abstract: A method, apparatus and a system for human body tracking processing, where an apparatus for video collection processing in the system has a built-in intelligent chip, and before uploading video data to a cloud server, the intelligent chip performs a pre-processing on the video data, retains a key image frame and performs a human body detection and a tracking processing on the key image frame by using human body detection tracking algorithm to acquire a first human body detection tracking result. Afterwards, the intelligent chip sends the first human body detection tracking result to the cloud server, so that the cloud server performs a human body re-identification algorithm processing and/or three-dimensional reconstruction algorithm processing on the first human body detection tracking result to acquire a second human body detection tracking result.

Abstract: Provided are a Rho kinase inhibitor, a method for preparing same and the uses thereof. The Rho kinase inhibitor designates a compound of Formula I, a stereoisomer thereof or pharmaceutically acceptable salt thereof. The Rho kinase inhibitor promotes endothelial cells and endothelin expression, prostenin expression, and vascular factors NO synthesis and secretion, has a promoting effect on proprostin expression independently of the doses used, shows lower toxicity, while being safer.

Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.

Abstract: A method and apparatus for positioning a key point, a device, and a storage medium are provided. The method may include: extracting a first feature map and a second feature map of a to-be-positioned image, the first feature map and the second feature map being different feature maps; determining, based on the first feature map, an initial position of a key point in the to-be-positioned image; determining, based on the second feature map, an offset of the key point; and adding the initial position of the key point with the offset of the key point to obtain a final position of the key point.

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: Embodiments of the present disclosure disclose a method and apparatus for determining a target anchor, a device and a storage medium. The method may include: extracting a plurality of feature maps of an original image using a feature extraction network; inputting the plurality of feature maps into a feature pyramid network to perform feature fusion, to obtain a plurality of fused feature maps; and using a region proposal network to implement operations as follows: determining an initial anchor of a web header using the fused feature map, based on a size of each fused feature map, and determining an offset parameter of the initial anchor, based on a ratio of the size of the fused feature map to the original image, and generating a plurality of candidate anchors in different directions, based on the offset parameter of the initial anchor.

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing a video frame, and relates to the field of computer vision technology. The method may include: acquiring a plurality of candidate first-order radial distortion parameters preset for a to-be-processed video frame, and acquiring a specified value of a specified radial distortion parameter; performing radial distortion correction on the to-be-processed video frame to obtain a first initial corrected video frame; selecting a first initial corrected video frame in which a local region except for a center region after distortion correction includes a largest number of straight line segments; and determining a candidate first-order radial distortion parameter corresponding to the selected first initial corrected video frame for use as a target first-order radial distortion parameter of the to-be-processed video frame.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for generating position information, a device and a medium. A specific embodiment of the method includes: acquiring an image and vehicle position information, wherein the image includes a target element; inputting the image into a pre-established depth map generation model to obtain a first depth map, wherein the focal length of sample images of sample data used during the training of the model is a sample focal length; generating a second depth map based on the sample focal length, the first depth map, and an estimated focal length of the image; determining depth information of the target element according to element position information of the target element in the image and the second depth map; and generating position information of the target element based on the vehicle position information and the depth information of the target element.

Abstract: Embodiments of the present disclosure provide a method and apparatus for generating an image. The method may include: receiving a first image including a face input by a user in an interactive scene; presenting the first image to the user; inputting the first image into a pre-trained generative adversarial network in a backend to obtain a second image output by the generative adversarial network; where the generative adversarial network uses face attribute information generated based on the input image as a constraint; and presenting the second image to the user in response to obtaining the second image output by the generative adversarial network in the backend.

Abstract: The present application discloses a method and an apparatus for detecting wearing of a safety helmet, a device and a storage medium. The method for detecting wearing of a safety helmet includes: acquiring a first image collected by a camera device, where the first image includes at least one human body image; determining the at least one human body image and at least one head image in the first image; determining a human body image corresponding to each head image in the at least one human body image according to an area where the at least one human body image is located and an area where the at least one head image is located; and processing the human body image corresponding to the at least one head image according to a type of the at least one head image.

Abstract: The present disclosure provides a three-dimensional (3D) object detection method, a 3D object detection apparatus, an electronic device, and a readable storage medium, belonging to a field of computer vision technologies. Two-dimensional (2D) image parameters and initial 3D image parameters are determined for a target object. Candidate 3D image parameters are determined for the target object based on a disturbance range of 3D parameters and the initial 3D image parameters determined for the target object. Target 3D image parameters are selected for the target object from the candidate 3D image parameters determined for the target object based on the 2D image parameters. A 3D detection result of the target object is determined based on the target 3D image parameters.

Abstract: The present application discloses a vehicle re-identification method and apparatus, a device and a storage medium, which relates to the field of computer vision, intelligent search, deep learning and intelligent transportation. The specific implementation scheme is: receiving a re-identification request from a terminal device, the re-identification request including a first image of a first vehicle shot by a first camera and information of the first camera; acquiring a first feature of the first vehicle and a first head orientation of the first vehicle according to the first image; determining a second image of the first vehicle from images of multiple vehicles according to the first feature, multiple second features extracted based on the images of the multiple vehicles in an image database, the first head orientation of the first vehicle, and the information of the first camera; and transmitting the second image to the terminal device.

Abstract: An apparatus for diagnosing and controlling the aerodynamic stability of a compressor and method there of are provided. The apparatus includes a measurement device (100), a signal processing device (200) and a control and execution device (300), wherein the measurement device (100) is configured to measure the pressure or velocity fluctuations of air flows in different positions inside a compressor in real time, and to transmit real-time measurement signals obtained from different positions to the signal processing device (200); the signal processing device (200) is configured to determine, according to the real-time measurement signals, a type and spatial distribution of instability precursor in the compressor, and to output corresponding control strategy signals to the control and execution device (300); and the control and execution device (300) executes, according to the received control strategy signals, corresponding control actions to regulate the stability of the compressor (S3).

Abstract: A method for determining a pose of a camera is provided, the method includes: S101, acquiring an image of a marker; S102, estimating a first pose of the camera according to the image of the marker by a characteristic point method; S103, estimating a second pose of the camera according to the image of the marker by a direct method; and S104, determining the pose of the camera based on the first pose and the second pose.

Abstract: A high frequency response pressure sensor based on direct current glow discharge plasma principle is provided, including: discharging electrodes including a cathode and an anode and used for generating a plasma between the cathode and the anode under the effect of a high voltage direct current power supply; a support structure used for supporting and fixing the discharging electrodes and ensuring that a stable gap is provided between the cathode and the anode; and a shielding casing used for shielding the plasma from an external gas so that the plasma remains unaffected by a flow speed of the external gas and senses only a change in pressure of the external gas. The high frequency response pressure sensor is not affected by mass inertia and has the potential of breaking through MHz high frequency response.

Abstract: An instrument for dynamically observing the evolution behavior of the slope topography. The dual hosts emit parallel, equal-height and overlapped laser planes from different directions, and project the laser planes onto a slope landform. The image acquisition device shoots the slope landform with the projected laser lines at an angle perpendicular to the laser-planes. Then a video screenshot can be formed and imported into a computer to form a three-dimensional map. Finally, the volume, slope gradient and other parameters of the slope body can be obtained. As the knobs on the mechanically micro-adjustable host of the topography meter are turned, the laser-planes can become precisely equidistant and parallel. A novel topography meter is disclosed, which can conveniently calibrate the spacing and angle of the linear lasers and accurately observe all landforms including the local deep trenches on an eroding slope.

Abstract: An object tracking method, device are provided according to the disclosure. The object tracking method includes: acquiring an object image comprising an object; determining a current image with the object from images captured consecutively, according to the object image; calculating a first pose of the object in the current image using a first algorithm, and calculating a second pose of the object in the current image using a second algorithm, wherein the first algorithm has a faster calculating speed than the second algorithm; determining a pose of the object to be the first pose before a calculation of the second pose is completed; and in a case that the calculation of the second pose is completed, calculating a third pose of the object according to the first pose and the second pose; and determining the pose of the object to be the third pose.

Abstract: The disclosure provides human-tracking methods, systems, and storage media. The method includes: acquiring a plurality of human point clouds of a current frame from a plurality of cameras; generating a total point cloud of the current frame by integrating the plurality of human point clouds of the current frame; acquiring a plurality of human point clouds of a next frame from the plurality of cameras; acquiring a total point cloud of the next frame by integrating the plurality of human point clouds of the next frame; and performing human tracking based on the total point cloud of the current frame and the total point cloud of the next frame.

Abstract: An instrument for dynamically observing the evolution behavior of the slope topography. The dual hosts emit parallel, equal-height and overlapped laser planes from different directions, and project the laser planes onto a slope landform. The image acquisition device shoots the slope landform with the projected laser lines at an angle perpendicular to the laser-planes. Then a video screenshot can be formed and imported into a computer to form a three-dimensional map. Finally, the volume, slope gradient and other parameters of the slope body can be obtained. As the knobs on the mechanically micro-adjustable host of the topography meter are turned, the laser-planes can become precisely equidistant and parallel. A novel topography meter is disclosed, which can conveniently calibrate the spacing and angle of the linear lasers and accurately observe all landforms including the local deep trenches on an eroding slope.

Abstract: An image recognition method and device are provided according to the disclosure. The method includes: obtaining a target image, and extracting at least one first visual feature of the target image; obtaining at least one pending image according to the first visual feature of the target image, and extracting a plurality of second visual features of the target image and the plurality of second visual features of the pending image; for each pending image, forming a plurality of visual feature pairs; and removing an unavailable visual feature pair from the plurality of visual feature pairs, to obtain at least one remaining feature pair; and determining an image similar to the target image from the at least one pending image, according to the at least one remaining feature pair.