369 results about "View based" patented technology

Data platforms described herein are configured to monitor a compute environment and provide a user interface. Such a data platform may direct an application to process, on a user interface computing thread, user input to a graphical user interface view that is rendered based on data received from a data platform, to detect, on the user interface computing thread, a set of instructions associated with a visualization of a logical graph, to determine that the set of instructions satisfies one or more criteria, to execute, based on the set of instructions satisfying the one or more criteria, the set of instructions on a set of additional computing threads, and to render the visualization of the logical graph in the graphical user interface view based on the processing of the user input and the executing of the set of instructions. Corresponding methods, systems, and products are also disclosed.

A method and apparatus generate a 2-dimensional (2D) image. A method for generating a 2-dimensional (2D) image includes obtaining a time index and a view. The method further includes obtaining first coding indices and a first codebook for canonical 3D Gaussians, wherein the canonical 3D Gaussians are 3D Gaussians corresponding to a reference time index, and represent a 3D space corresponding to the reference time index. The method also includes obtaining second encoding indices and a second codebook for a parameter offset, wherein the parameter offset indicates a difference between the canonical 3D Gaussians and 3D Gaussians for the time index. The method further includes reconstructing the canonical 3D Gaussians based on the first coding indices and the first codebook. The method also includes reconstructing parameter offsets of the 3D Gaussians for the time index based on the second coding indices and the second codebook. The method further includes adding the reconstructed canonical 3D Gaussians and the reconstructed parameter offset to reconstruct the 3D Gaussians for the time index. The method also includes generating a second image for the view based on the reconstructed 3D Gaussians.

Methods and systems for training an end-to-end autonomous driving system using a vision-language planning (VLP) machine learning model in a closed-loop environment. Images associated with an environment about a vehicle are generated, and a BEV model is executed to generate a BEV view based on the images. A planning model predicts navigation trajectories based on the BEV. The VLP model enhances the system by extracting vision-based planning features, generating text prompts, and employing a language encoder to create text-based expectation features. A contrastive learning model identifies similarities between vision and text features, boosting the performance of the BEV and planning models. The system undergoes closed-loop evaluation in a simulated environment, capturing metrics to refine the autonomous driving system.

The invention belongs to the technical field of three-dimensional measurement, and discloses a power transmission line icing volume measurement method, system and device, a medium and a program product, and the method comprises the steps: employing a binocular camera to shoot and correct an icing power transmission line view, and obtaining internal and external parameters, performing depth estimation on the power transmission line view based on the corrected power transmission line view and the internal and external parameters, training a conductor detection model and inputting the corrected power transmission line view to obtain a detection frame and a corresponding confidence coefficient, using the detection frame with the highest confidence coefficient as a prompt, inputting the prompt and the corrected power transmission line view into an SAM2 network for segmentation, and obtaining a segmentation result; de-noising and morphological processing are carried out on the masks of the ice-coated wires, and finally the ice-coated area of the power transmission line is calculated. The system, the equipment and the medium are used for implementing the method. The program product comprises a computer program for implementing the method; the method for measuring the icing volume of the power transmission line has the effects of stability, reliability, high efficiency, accuracy and high safety.

A method for controlling autonomous driving of a vehicle is introduced. The method may comprise, training, based on an inference depth and an inference pose, a synthetic image model for generating a synthetic image, generating, based on the synthetic image, a first virtual image to be associated with the original image, generating, based on the original image, a second virtual image, training a generative adversarial network (GAN) for determining, based on the original image, authenticity of the first virtual image and the second virtual image, training, based on the trained GAN, a depth network, wherein the trained GAN outputs a determination of the authenticity of the first virtual image, outputting, based on the trained depth network, signal, and controlling, based on the signal, autonomous driving of the vehicle.

Several examples, systems, and methods are disclosed that involve the dynamic reconstruction of new views, at least partially based on flow rematching. A first computing system can cause an image rendering model to generate an estimated image of a scene based on at least a plurality of images of the scene. The at least one image in the plurality of images can be from at least one different time or view. The first computing system can update the image rendering model based on at least the estimated image, the plurality of images, and / or one or more motion criteria associated with the estimated image.

The invention discloses a multi-dimensional tree form control generation method and device, and relates to the field of data processing. The method comprises the steps of obtaining a flattened original data array, an expandable dimension array, a maximum dimension hierarchy and a configuration object issued by a background; initializing a core data structure; original data and all nodes are traversed, father nodes are searched, the relation is established, and a two-channel tree structure is constructed; generating and rendering a table view based on the constructed tree structure; and in response to user interaction, dynamically unfolding and folding table nodes by maintaining inter-row reference and folding states. According to the method, the natural hierarchy and the interactive expansion hierarchy of the data are separated through the dual-channel tree structure, and the problems of hierarchical disorder, low rendering efficiency and slow interactive response of a traditional tree table during multi-dimensional data analysis are solved by utilizing a path key mapping and state local updating mechanism; efficient and flexible multi-dimensional data display and interaction are realized, and the method is suitable for enterprise-level data analysis scenes.

The invention discloses a transparent chassis display system, method and equipment and a storage medium, and belongs to the technical field of vehicles. In the system, an unmanned aerial vehicle scans a road below a vehicle chassis to respectively obtain a scanning image, first point cloud data and second point cloud data, then a vehicle-mounted terminal generates a transparent chassis view based on the scanning image, the first point cloud data and the second point cloud data, and the transparent chassis view is displayed through a head-up display system. Therefore, the system obtains the road information below the chassis through the unmanned aerial vehicle, compared with a traditional fixedly-installed camera, the unmanned aerial vehicle can switch the posture at any time so as to adjust the shooting angle of the camera, the unmanned aerial vehicle cannot shake along with bumping of the vehicle, image distortion can be avoided, and therefore the road condition below the chassis can be accurately reflected.

The invention provides a virtual camera projection method and system, electronic equipment and a medium, and belongs to the technical field of target detection, and the method comprises the steps: constructing a training data set according to sampling points in a three-dimensional space; modeling projection and back projection between the real camera view and the virtual camera view to obtain a two-stage multi-layer perceptron model; training a two-stage multi-layer perceptron model according to the training data set to obtain a trained model; and obtaining a pixel mapping table between the virtual camera view and the real camera view based on the trained model. According to the method, the reversible pixel mapping relation between the real camera and the virtual camera is constructed by adopting the two-stage multi-layer perceptron model, and the pictures under any group of camera parameters are uniformly converted to be under the virtual camera parameters, so that high-quality label data are efficiently generated through the automatic labeling model; the data utilization rate and the generalization ability of the automatic labeling model are remarkably improved, so that the model can directly process multi-source heterogeneous data, and the model adaptation cost is reduced.

Described are techniques for generating a query based view of appropriate datasets in a data lakehouse. A query for data contained in the data lakehouse is received. A similarity between the query and a description of each table in the lakehouse is computed. Any description of a table with a similarity to the query that is greater than a threshold value results in the table potentially being included in a view. As a result, such a table is selected. A subset of the selected tables is then identified and joined to create a new view of a dataset. After generating a description of the new view based on headers and values of the dataset, a similarity between the query and the description of the new view is computed. If the similarity measure exceeds a threshold value, then the newly constructed view is displayed to the user.

The invention relates to the technical field of computer vision, in particular to a three-dimensional scene editing method and device based on multiple view angles of consistent distillation and a storage medium. The method comprises the following steps: acquiring a multi-view image set of a three-dimensional scene; adjusting parameters of a preset three-dimensional NVS diffusion model according to the multi-view image set; according to the adjusted three-dimensional NVS diffusion model, a preset two-dimensional editor is trained, and training is used for indicating the prior knowledge of the adjusted three-dimensional NVS diffusion model to be transmitted to the two-dimensional editor through knowledge distillation; and editing the multi-view image set through the trained two-dimensional editor. According to the embodiment of the invention, a brand new knowledge distillation framework is provided, the priori knowledge in the three-dimensional NVS diffusion model can be transmitted to the two-dimensional editor, so that the editor can learn the relationship among different visual angles in the three-dimensional scene, multi-visual-angle consistency is kept during editing, and the high-quality three-dimensional scene is generated.

The invention relates to a visual training method, device and equipment based on a dynamic view field, and the method comprises the steps: obtaining detection data and a training time threshold value of a to-be-trained user, and the detection data comprises long-distance data, short-distance data and measurement precision; detecting the to-be-trained user according to the detection data to obtain vision data before training; determining training data according to the vision data; and according to the training data, carrying out distant view field and near view field alternate cycle training on the to-be-trained user until the duration reaches a training duration threshold, and completing visual training on the to-be-trained user. According to the visual training method based on the dynamic view field, vision data detected by a to-be-trained user is obtained to determine training data, and then the to-be-trained user is subjected to far view field and near view field alternate cycle training according to the training data and a training duration threshold value, so that the eyes of the to-be-trained user really move in the training process; therefore, the training effects of eye fusion image and focusing and diverging function adjustment are obviously improved.

The invention relates to the technical field of machine learning, in particular to a knowledge distillation method and system based on view alignment. The invention aims to solve the main limitations in the traditional distillation technology, including the problems of excessive confidence of a teacher model, confirmation deviation and the like. The invention provides a novel knowledge distillation framework based on logarithmic probability, which is called KDVA; specifically, z-score standardization is applied to the logarithmic probability of a model for smooth output, so that transmission of more teacher implicit knowledge is promoted. In addition, a same-view-angle and cross-view-angle alignment mechanism is introduced into the KDVA, and comparison information of weak and strong image transformation is utilized to enlighten a student model to obtain more knowledge. In addition, the student model is supervised by using the real label of the sample, so that the student model can obtain more information about each sample target category. According to the method, when different network architectures are applied to different data sets, high effectiveness and stability are shown.

First and second cameras include first and second optical axes that intersect one another. The first and second cameras respectively have first and second image capture units that respectively include first and second warp maps that provide first and second fields of view. Third and fourth cameras are configured in a similar manner to the first and second cameras. An image processing module combines the first and second fields of view based upon first and second warp maps to provide a first combined seamless view, and combines the third and fourth fields of view based upon third and fourth warp maps to provide a second combined seamless view. At least one display depicts the first and second combined seamless views to provide a vehicle surround view about a vehicle.

The invention relates to the technical field of intelligent traffic simulation and heavy vehicle cooperative control, and discloses an intelligent cooperative control simulation verification system for a tractor or a trailer, which comprises three modules and four modules: a three-dimensional environment modeling module based on multi-source data fusion and hierarchical modeling and combined with a timing and event double-trigger mechanism to update dynamic obstacles; the cooperative motion control module integrates Bezier trajectory planning, a geodesic theoretical dynamics coupling model and triangular collision detection, and realizes vehicle-towing cooperation and risk early warning. The visual simulation interaction module constructs a multi-window view based on OpenGL / Unity 3D, and simulates light and shadow and friction characteristics in combination with material attributes; the result verification module outputs a conclusion based on the quantitative index and the qualitative report. According to the system, the goodness of fit between a simulation environment and a real scene is remarkably improved, the collision early warning response is less than or equal to 100ms, more than 80% of roll-on-roll-off ship scenes can be covered, the entity test cost is reduced by 60%, and a high-fidelity verification tool is provided for vehicle-tow intelligent cooperation.

The invention relates to the technical field of knowledge graph vectorization, and discloses a medical field-oriented knowledge graph vectorization representation method, which comprises the following steps of: firstly, constructing a multiple heterogeneous topological view based on a heterogeneous knowledge graph, and generating a detection parameter set covering a global fusion space so as to construct joint observation data corresponding to different distribution modes; then establishing a joint reconstruction task containing a public potential semantic base, and promoting a public base matrix to aggregate global structure information of all observation data by using an iterative algorithm; and finally, analyzing the converged model to extract a center node vector and generate an index.

The invention discloses a limited view field cross-view-angle geographic positioning method based on view enhancement contrast learning, and belongs to the technical field of computer vision, deep learning and geographic information. The method comprises the following steps: executing view enhancement operation on an original panoramic ground view and a panoramic satellite view to generate a multi-view sample set; extracting each view feature embedding vector through a feature encoder sharing the weight; constructing a composite optimization target based on an InfoNCE loss function, and optimizing a total loss function through bidirectional cross-view-field contrast learning and in-view-field contrast learning to obtain an optimized feature encoder; and inputting a new limited field-of-view ground query image into the optimized encoder to extract features, performing similarity comparison with the satellite image feature library, and determining a geographic position. According to the method, the difference between the field of view and the viewpoint is reduced through active view enhancement, the feature robustness is enhanced through multi-target contrast learning, the positioning challenge caused by the limited field of view and unknown direction is effectively solved, the positioning precision and robustness are remarkably improved, and the method is suitable for multiple fields such as automatic driving and robot navigation.

Embodiments of the present application relate to the technical field of terminals, and provide a frame rate adjustment method, a device, and a computer-readable storage medium. The method comprises: in the rendering process, acquiring a rendering instruction for a first image; by means of rendering data carried in the rendering instruction, determining a view scene corresponding to the first image; acquiring a first frame rate matching the view scene; and displaying the first image on the basis of the first frame rate. In the embodiments of the present application, when the view scene changes, the frame rate in an application can be dynamically adjusted, and by displaying an image at a dynamic frame rate, the power consumption of an electronic device running the application can be reduced. Moreover, the determination of the first frame rate on the basis of the view scene is not affected by the similarity between two adjacent frames in the application, achieving high applicability.

The embodiment of the invention belongs to a screen sharing technology, and provides screen transmission equipment and a screen transmission method, and the method comprises the steps: determining screen transmission data in real-time image data in response to a screen transmission instruction, and transmitting the screen transmission data to the screen transmission equipment; the screen transmission instruction comprises any one of the following selected areas: a first selected area and a second selected area. According to the scheme, the selected area on which the screen transmission data is based is determined in the real-time image data, and the selected area can be the first selected area required by a user or the second selected area which is used for identifying the operable object of the first selected area and is determined based on the operable object after view conversion; according to the method, the selected area of the screen transmission data can be dynamically adjusted along with the change of the shared content, the continuity of the shared content is improved, the situation that a user frequently and manually adjusts the selected area is reduced, and therefore the screen sharing efficiency is improved.

Embodiments of the present disclosure provide a data processing method, an electronic device, and a storage medium. The method includes: in response to a view creation operation, editing at least two target data sources and at least one work item corresponding to the target data sources; retrieving associated data corresponding to the at least one work item associated with the at least two target data sources; and determining and displaying a target view based on the associated data and a target view display type that is predetermined.

The invention relates to a regional electric vehicle charging load prediction method based on a GAT, a GRU and a gravity model, and the method comprises the steps: obtaining a charging network, and constructing a topological graph through the charging network; the method comprises the following steps: acquiring charging data, carrying out feature engineering processing on the charging data according to a topological graph, inputting the processed data into a gating cycle unit network model, acquiring initial time features, constructing multiple views based on a node relationship in the topological graph, taking the multiple views as a basic structure, inputting the initial time features into a graph attention network model, and constructing the gating cycle unit network model. Obtaining deep-level spatio-temporal features; the gating circulation unit network model and the graph attention network model are obtained by training through a training set; and performing weighted combination on the spatial-temporal features and the initial time features to obtain node features, and obtaining a charging load prediction result through the node features. According to the method, the accuracy and robustness of charging load prediction are remarkably improved.

The invention discloses a recommendation method, and particularly relates to a training method and device of a recommendation model, a recommendation method and device and electronic equipment. The recommendation model training method comprises the steps of obtaining a to-be-trained recommendation model and an original training interaction information graph; generating two enhanced contrast views based on the original training interaction information graph; inputting the original training interaction information graph into a to-be-trained recommendation model for training, calculating to obtain sorting loss based on a Bayesian personalized sorting loss function, and inputting the two enhanced comparison views into the to-be-trained recommendation model for comparison learning training to obtain comparison loss; determining a total loss based on the sorting loss and the comparison loss; and under the condition that the total loss meets a preset condition, determining the currently trained recommendation model to be trained as a recommendation model. According to the method, the performance of the recommendation model can be improved, and a recommendation result with higher accuracy is obtained.

The invention relates to a three-dimensional model reconstruction method and device and electronic equipment. The method comprises the steps of generating first image data of a main-direction view angle and second image data of an oblique view angle through an image generation model based on a single-view-angle picture and preset pose information of a target object; determining image data of adjacent visual angles in the first image data and the second image data as image pairs, and constructing point cloud data according to the image pairs; an initial model is constructed, the initial model comprises an initial Gaussian set, and the initial Gaussian set comprises a Gaussian kernel; and establishing a loss function based on the single-view picture, the first image data, the second image data, the initial Gaussian set and the point cloud data, and performing training optimization on the initial model in stages to obtain a target model. Through the method, the precision and geometric accuracy of three-dimensional model reconstruction of the product can be improved, the quality of reconstruction of the product from a single two-dimensional image to the three-dimensional model is improved, and the method has high application value.

The embodiments of the disclosure provide a method for generating a pass-through view in response to a selected mode and a host. The method includes: determining, by the host, the selected mode among a first mode and a second mode, wherein the first mode aims to achieve a control accurateness, and the second mode aims to achieve a visual smoothness; determining, by the host, a target depth map according to the selected mode; and rendering, by the host, the pass-through view based on an image associated with a field of view (FOV) of the host, a camera parameter, and the target depth map.

This disclosure provides a method, apparatus, electronic device, and medium for object annotation at accident scenes. The method includes: determining a target top view based on point cloud data of the target accident scene; identifying the distribution of at least one object included in the target accident scene within the target top view, and determining at least one reference element in the target top view; determining distance information of the accident key point relative to the at least one reference element based on the image coordinates of accident key points in the object and the image coordinates of the at least one reference element; and annotating the accident key point based on the at least one distance information corresponding to the accident key point. This disclosure enables automatic annotation of target accident scenes, avoiding drawing errors caused by manual drawing and annotation, and solving the problem that detailed annotation of accident scenes cannot be performed solely based on point cloud data.

The invention relates to the technical field of bridge engineering, in particular to an image-based suspension bridge main cable tension recognition method, device and equipment, and the method comprises the steps: obtaining a live-action image of a target suspension bridge, and calculating a transformation matrix according to the live-action image and the panel size of the target suspension bridge; on the basis of the pixel coordinates of the main cable in the live-action image, calculating the positive view angle two-dimensional coordinates of the main cable in combination with the transformation matrix; constructing a catenary analytic expression of the main cable according to the positive view angle two-dimensional coordinates, and obtaining a curvature value of the main cable and a slope of the main cable at any position; the horizontal force value of the main cable is calculated according to the curvature value, and the tension of the main cable at any position is calculated according to the slope of the main cable at any position and the horizontal force value. The method overcomes the limitation of equipment complexity and dependence on manual excitation in a traditional method, is simple to operate and low in cost, can efficiently identify the tension of the main cable in a non-contact manner, and is wide in application range and high in adaptability.

Methods and systems for training an end-to-end autonomous driving system in a closed-loop environment using a Visual Language Planning (VLP) machine learning model. An image associated with a vehicle surroundings is generated, and a BEV model is executed to generate a BEV view based on the image. The planning model predicts a navigation trajectory based on the BEV. The VLP model enhances the system by extracting vision-based planning features, generating text cues, and employing a language encoder to create text-based expected features. And comparing a learning model to identify the similarity between visual and text features, and enhancing the performance of the BEV and the planning model. The system experiences closed-loop evaluation in a simulated environment, obtaining metrics to improve the autonomous driving system.

The invention relates to the technical field of cultural relic analysis, and discloses a cultural relic knowledge extraction and visualization method, which comprises the following steps: processing an original sentence to obtain a feature vector and relation information of the sentence, inputting the relation information and the feature vector into an attention unit, and distributing different weights to context information of a current relation; fusing the feature vectors of the sentences output by the attention unit and the relation information to realize cultural relic knowledge extraction; constructing a visual view based on the identified data; the problems of particularity of knowledge content and text word formation in the cultural relic field, structure looseness and knowledge overlapping are solved; the extracted cultural relics are only explored and visualized, information of the cultural relics is displayed in a visual interaction mode, a user is helped to understand characteristics and evolution trends in the cultural relic development process under the historical culture background, repeated work of the user on cultural relic knowledge exploration is reduced, and the user experience is improved. And the analysis efficiency and exploration depth of the cultural relic knowledge by the user are improved.

This disclosure relates to the technical field of fault diagnosis, in particular, to a method and system for industrial equipment fault diagnosis based on graph structure joint optimization. The method includes: acquiring an original equipment dataset; constructing an original graph structure based on the original equipment dataset; extracting two basic views based on the original graph structure, calculating graph node embeddings of the basic views using a GCN, and recalculating a probability of an edge in the graph structure based on the graph node embeddings; performing view fusion based on the probability of the edge in the graph structure to obtain a preliminarily optimized view; and processing a fused view through a GAT network to obtain an enhanced view. According to this disclosure, the problems of low prediction accuracy, poor robustness, the like in traditional fault diagnosis are optimized, and thus the stability of industrial Internet equipment is greatly improved.

This application provides a method and apparatus for establishing and displaying a high-order chromatin interaction index, relating to the field of electrical data processing. The method includes: constructing a single data container file using independently locatable data blocks as basic writing units, and writing interaction analysis data units into the single data container file; constructing an embedded index library bound to the single data container file; the embedded index library includes a first mapping relationship and a second mapping relationship; when the request stage is a region query stage, generating a summary view based on the window range of the browsing request and the first mapping relationship; when the request stage is an evidence drill-down stage, generating hyperedge evidence based on the read segment identifier in the browsing request and the second mapping relationship; and displaying the summary view or hyperedge evidence as the corresponding browsing request result to the target user. This application solves the problem of lag in existing high-order chromatin interaction index systems during user interactive browsing.