6results about How to "Simplify the data collection process" patented technology

The embodiment of the invention discloses a vehicle annotation data acquisition method, a model training method, a vehicle track fusion method and related devices. According to the main technical scheme, the method comprises the steps of obtaining an image sequence collected by air collection equipment for a target area, wherein the image sequence comprises a first image of a first vehicle; acquiring a second image acquired by the ground acquisition equipment for the target area, wherein the second image comprises a second vehicle; constructing a three-dimensional map of the target area according to the image sequence, and generating an orthographic projection drawing according to the three-dimensional map; determining a spatial mapping relation among the orthographic projection drawing, the first image and the second image; extracting first annotation data of the first vehicle in the first image; and identifying that the first vehicle and the second vehicle are the same vehicle according to the spatial mapping relationship, and determining second annotation data of the second vehicle in the second image according to the first annotation data. The accuracy and efficiency of vehicle marking can be improved, the difficulty of vehicle track fusion is reduced, and the fusion effect is improved.

The present disclosure provides a reconstruction method and device of a human virtual avatar, a terminal and a storage medium. The reconstruction method of the human virtual avatar comprises: acquiring a plurality of images including a human body and a virtual human data set; acquiring a depth map from the plurality of images; and performing three-dimensional reconstruction and rendering based on the plurality of images, the depth map and the virtual human data set by using a trained neural network model to obtain a human three-dimensional model and a corresponding rendered image. The present disclosure can reconstruct the human virtual avatar by using a small number of images, thereby simplifying the data acquisition process. In addition, the reconstruction method of the present disclosure can ensure high calculation efficiency while ensuring rendering quality, and can be used for real-time interaction.

The invention discloses a smart classroom emotion recognition method and system based on dynamic facial expressions. The method comprises the following steps: firstly, acquiring a classroom panoramic video stream, and preprocessing the classroom panoramic video stream to generate a structured facial image sequence; the method comprises the following steps of: obtaining a fused video frame through a space-time attention fusion module, then embedding time and space tokens, inputting the fused video frame into a double-scanning bidirectional Mamaba block to carry out space-time feature extraction and modeling, finally outputting the probability of each emotion through a pre-trained emotion classification model, and selecting the emotion with the highest probability as final output to be fed back to a user. The dynamic facial expression recognition system provided by the invention is light in weight and high in performance, so that facial expressions of students can be accurately recognized in an actual classroom, and the reliability and the stability of results are ensured. The method solves the problems of weak dynamic modeling, strong multi-mode dependence, lack of education closed loop and the like in a classroom scene in the prior art, and is suitable for non-sentible emotion perception and teaching optimization in intelligent education.

The present invention discloses a method for code conversion and data processing in water conservancy engineering surveying, S1, establishing a simple code table of a CASCODE.txt file; S2, one-to-one correspondence between the identification simple code and the built-in code of the CASS computer drawing software; S3, raw data entry; S4, data inspection; S5, data processing: the server reorganizes the data according to the order and requirements of the CASS computer drawing software for the data, and forms a data table for direct use by the CASS computer drawing software, thereby realizing automatic conversion of field data into data used by the CASS computer drawing software. The present invention simplifies the data collection process of field personnel and improves the speed of field data collection by customizing various ground feature codes according to their own operation and recording habits. Through the fully automated processing of field data by computer software, the field data can be conveniently and quickly processed into the data format required by the computer drawing software, reducing the workload and error rate and improving the drawing efficiency.

This invention discloses a method for constructing a structured light dataset based on a digital twin model of a fringe projection system. A digital twin model of the system is constructed in computer graphics software based on the hardware and calibration parameters of a real fringe projection system. Then, a node tree is used to simulate the surface properties of the object under test and the system's ambient light source is set. The parameters are adjusted to diversify the target surface properties and ambient light. Fringe images are then imported, and automated projection and data acquisition of the digital twin model are achieved through programming. Finally, fringe images and corresponding depth images that meet the user's quantity requirements are generated, completing the construction of the structured light dataset. This invention solves the problems of complex fringe projection data acquisition processes, high dataset production costs, and limited data samples in real-world scenarios, achieving rapid and high-precision construction of fringe projection system datasets.

The invention provides a mean field gradient observation system and a control method thereof, and a storage medium, the mean field gradient observation system comprises a main control unit, a computer device, a data bus, a plurality of collectors and a plurality of sensor subsystems, the plurality of collectors and the plurality of sensor subsystems are arranged at different observation heights, a first end of each collector is connected with one sensor subsystem, and a second end of each collector is connected with one sensor subsystem; the second end of each collector is connected to the data bus through a sub-bus; the sensor subsystem is used for outputting different meteorological element signals; the collector is used for collecting meteorological element signals, converting the meteorological element signals into meteorological element data and sending the meteorological element data to the main control unit; the main control unit is used for indicating the plurality of collectors to collect data from the sensor subsystem and receiving meteorological element data returned by the collectors; and the computer equipment is used for receiving the meteorological element data sent by the main control unit. According to the observation system, meteorological elements at different heights in the atmosphere can be observed, the robustness of the observation system is enhanced, and the test cost is saved.