181 results about "Graphical data" patented technology

The invention relates to the technical field of industrial internet of things operation and maintenance, and particularly provides a remote maintenance auxiliary method integrating video monitoring and three-dimensional modeling. The method comprises the following steps: acquiring engineering graphic data and point cloud scanning data of maintenance equipment, and collecting video stream data of a maintenance equipment site; the video stream data is used for describing the operation state of maintenance equipment; the video stream data comprises a plurality of video frames; matching the point cloud scanning data with the engineering graphic data, and constructing a watertight three-dimensional grid model according to a matching result; mapping texture features of the maintenance equipment in a target video frame to the surface of the watertight three-dimensional grid model to obtain a target three-dimensional model; and receiving a first maintenance instruction marked in the target three-dimensional model by a remote expert, and sending the first maintenance instruction to a video picture of a client of an on-site maintainer. According to the technical scheme provided by the invention, the time consumption for positioning the overhaul part can be reduced.

The embodiments of the present application relate to the technical field of terminals. Provided are a rendering processing method and an electronic device. The method comprises: determining a plurality of rendering instructions corresponding to first graphic data to be rendered of a first application program, wherein the plurality of rendering instructions include a first rendering instruction; and then reading, from a graphics processing unit (GPU) memory, a first rendering resource corresponding to the first rendering instruction, and executing the plurality of rendering instructions on the basis of rendering resources respectively corresponding to the plurality of rendering instructions, so as to render the first graphic data. In this way, a rendering resource is read from a GPU memory, so as to reduce data interaction between a GPU and a main memory, thereby reducing the bandwidth consumption of a terminal device.

Disclosed is a mutually generative artificial intelligence system based on multi-dimensional spatiotemporal information vector graphics, relating to the field of artificial intelligence and engineering applications. Based on a geographic information system (GIS) or a computer-aided design (CAD) platform and a data source, a multi-dimensional vector spatiotemporal large model terminal, a multi-dimensional spatiotemporal information processing agent terminal, and an intelligent information system application terminal are constructed. For multi-dimensional spatiotemporal data such as two-dimensional and three-dimensional vectors and temporal states, a multimodal spatiotemporal large model having an understanding capacity for an engineering professional knowledge system, a data processing flow, multi-dimensional vector graphics, and thematic graphics-text documents is pre-trained to achieve the mutual expression and generation of engineering multi-dimensional vector graphics and thematic graphics-text documents and to form an intelligent engineering graphic data processing application.

The invention provides an artificial intelligence-based city scene generation method and a computer readable storage medium, and the method comprises the steps: firstly, carrying out the automatic recognition and extraction of different functional regions based on input graphic data, and carrying out the vectorization of the different functional regions into polygons with structural features; matching a three-dimensional model from a model library according to polygon features and generating an initial layout containing positions and orientations; constructing a differentiable boundary constraint function for each functional region to define a legal region; then defining a differentiable objective function including a boundary loss item and a collision loss item; and finally, by taking the initial layout as a starting point, optimizing an objective function through a gradient descent method, and iteratively adjusting the layout of each three-dimensional model to obtain a final city scene. According to the method, the spatial layout rule is converted into the computable loss function through the differentiable optimization framework, the automatic and intelligent generation of the city scene is realized, the layout generation efficiency is effectively improved, and the layout rationality is ensured.

The invention relates to the technical field of graphic data reading, and particularly discloses a sign language recognition training data generation method and system based on multi-modal data enhancement, and the method comprises the steps: a sign language recognition assembly reads multi-modal data of a to-be-recognized sample based on a sampling device, and achieves multi-modal synchronous resampling; performing graph quality evaluation frame by frame after resampling, and outputting a graph quality evaluation result; screening the boundary candidate frame set frame by frame based on a graph quality evaluation result to form an action slice group of the to-be-identified sample; and finally, firstly matching a data enhancement initial strategy for each action slice, then optimizing the initial strategy based on a dynamic and static hierarchical labeling result to obtain a data enhancement execution strategy, executing multi-modal consistent data enhancement on the action slices according to the strategy, and writing the data enhancement into a training sample set. And the enhancement type and strength are adaptively adjusted along with the slice quality form and the dynamic and static structure, and finally a training data set for sign language recognition component training is formed.

This invention relates to the field of computer graphics data processing technology, specifically a method for hot-plugging dynamic outer contour meshes driven by three-dimensional spatial domain and time slices. The steps include: S1, receiving air traffic control message information in real time via a transmission protocol, converting geographic coordinates into target world coordinates, and simultaneously generating management files; S2, constructing a spatial domain mesh in real time based on the four types of management files using a combination of outer contour extrusion and ear-cutting methods; S3, mapping the spatial domain ID and time slice from the message to the spatial domain mesh constructed in S2, constructing a double-key hash index of spatial domain ID and time slice, which serves as the sole basis for the hot-plug manager to determine whether to update or create a mesh, dynamically executing spatial domain mesh hot-plugging. Employing the contour extrusion-ear-cutting method and vertex cache reuse mechanism, combined with the "spatial domain ID and time slice" double-key hash index, it supports dynamic construction and hot-plugging operations of the mesh model, meeting the low-latency rendering requirements of real-time air traffic control data.

A method of generating graphics output for a video gaming system comprises using an artificial neural network 210 (ANN) to perform multi-frame super resolution (MFSR), based on input graphics data fro

The invention relates to the technical field of computer graphic data processing, and belongs to a three-dimensional airspace and time slice driven dynamic outer contour grid hot plug method, which comprises the following steps of: S1, receiving air traffic control message information in real time through a transmission protocol, converting geographic coordinates into target world coordinates, and generating a management file at the same time; s2, based on the four types of management files, constructing an airspace grid in real time by combining outer contour extrusion with an ear cutting method; and S3, mapping with the airspace grid constructed in the S2 according to an airspace ID and a time slice transmitted by a message, constructing an airspace ID and time slice double-bond hash index, and dynamically executing airspace grid hot plugging as a unique basis for a hot plugging manager to judge whether to update or newly build the grid. A contour extrusion-ear cutting method and a vertex cache multiplexing mechanism are adopted, in combination with'airspace ID and time slice 'double-bond hash index, dynamic construction and hot plug operation of a grid model are supported, and the low-delay rendering requirement of real-time air traffic control data is met.

This invention discloses a graphic calibration system and method for CNC mold machining. The system includes: a data acquisition module configured to receive CNC machining tasks and acquire graphic data and measurement data of the mold to be machined based on the machining tasks; a data calibration module configured to perform geometric feature calibration on the graphic data based on preset calibration data, generate calibrated calibrated graphic data, and spatially register the measurement data and calibrated graphic data to obtain deviation data; a data processing module configured to map the deviation data to a machining parameter library in the machining task, calculate the correction values ​​of each machining parameter to obtain calibration parameters; and a data feedback module configured to feed back the calibrated graphic data and / or calibration parameters to the system, and perform the remaining graphic data input and machining parameter input for the machining task. This invention significantly improves mold machining accuracy and production efficiency, providing a high-confidence graphic input benchmark for CNC mold machining.

Techniques are disclosed relating to a shared control bus for communicating between primary control circuitry and multiple distributed graphics processor units. In some embodiments, a set of multiple graphics processor units including at least first and second graphics processors on different semiconductor substrates that are packaged in a multi-chip module, where the first and second graphics processors are coupled to access graphics data via respective memory interfaces. The shared workload distribution bus may include: one or more interfaces between respective graphics processors on the same semiconductor substrate and at least one cross-substrate interface between the different semiconductor substrates. Workload distribution circuitry may transmit, via the shared workload distribution bus, control data that specifies graphics work distribution to the multiple graphics processor units. Packet control circuitry may modify packets from at least one of the one or more interfaces for transmission via the cross-substrate interface.

The application provides a method for craniomaxillofacial CT image segmentation, a model training method and equipment, wherein the method for craniomaxillofacial CT image segmentation model training comprises the following steps: acquiring a craniomaxillofacial tumor CT image dataset, wherein the craniomaxillofacial tumor CT image dataset is composed of a labeled dataset and an unlabeled dataset; constructing a main network and a teacher network based on the same image segmentation deep neural network backbone model; the main network learns using the labeled craniomaxillofacial tumor CT image dataset in each training iteration; the teacher network learns using the labeled dataset in a preset starting stage and ending stage, simulates the learning process of the main network by averaging all weights of the current main network in the middle stage, and constrains the graphic data in the unlabeled dataset through segmentation consistency of different perspectives.

A metaverse application receives, from a user, a request to report abuse that occurs in a virtual experience. Responsive to receiving the request, the metaverse application captures a three-dimensional (3D) capture of the virtual experience. The metaverse application generates a two-dimensional (2D) capture from the 3D capture. The metaverse application determines a list of avatars in the 2D capture. The metaverse application mixes the additional audio with the encoded audio. The metaverse application generates a list of candidates from the list of avatars based on whether the avatars are visible to the user. The metaverse application generates graphical data for displaying an overlay on the 2D capture with the list of candidates that is user-selectable to provide a report of abuse.

A computer-implemented method of generating a multi-frame super resolution, MFSR, graphics output for a video gaming system during gameplay, comprising: using a trained artificial neural network, ANN, comprising a plurality of weights and activations to perform multi-frame super resolution, MFSR, based on input graphics data from a game deployed on a video gaming system, to generate a MFSR graphics output; monitoring usage of a processing unit of the video gaming system during gameplay; and varying a precision of the weights and / or activations used in the performing MFSR, based on the monitored usage of the processing unit. A corresponding video gaming system and computer program product is also provided.

A graphic data processing system including at least one core for graphic data processing, capable of interpreting in graphic form or as instructions the data exchanged via a human-machine interface distributed over one or more cores.

The application discloses a fabric layout automatic layout and merging method, system, medium and processor, and relates to the technical field of fabric cutting and pattern layout. The method receives a graphic data set and extracts key geometric features, identifies pattern types and matches corresponding layout strategies, realizes automatic close arrangement and position optimization of graphics, and generates a layout set containing coordinates and rotation angles. Then, the common edges of adjacent graphics are automatically identified and merged, and the graphic set is converted into a non-redundant line segment path, which is directly used for cutting. The application effectively reduces material waste and cutting path length, improves cutting efficiency and product quality, is suitable for batch automatic production, and has high practical value.

The invention provides a direction grouping index-based mask rule check rapid query method and device, a medium, a program product and a terminal, and the method comprises the steps: obtaining mask pattern data after optical proximity correction, and carrying out the feature extraction of the mask pattern data, so as to obtain a feature line segment set; performing direction grouping processing on all line segments in the feature line segment set to obtain line segment subsets in different directions; adopting a bucket dividing strategy to construct a corresponding bucket dividing index structure for each line segment subset; and executing fast parallel line segment query of mask rule check based on the bucket index structure constructed by each line segment subset. By means of the direction grouping and bucket indexing technology, the indexing method for parallel line segment query optimization is provided, the efficiency of parallel line segment rule verification in MRC checking is remarkably improved, the use of a complex R-Tree structure can be avoided, memory occupation is reduced, and the indexing method is suitable for large-scale mask data of an advanced process.

A multi-screen interaction method, device, system and storage medium solve the problem that private customization cannot be realized and display efficiency is low when multi-screen display in the multi-screen interaction process in the prior art. The multi-screen interaction method is used for a multi-screen interaction system including a display chip, a display memory, a main display screen and a secondary display screen. The display memory includes a plurality of layer display memory areas, a main display memory area and a virtual display memory area. The plurality of layer display memory areas respectively store graphical data of a plurality of application programs. The main display memory area stores synthesis data of the plurality of application programs. The plurality of application programs include a target application program. The multi-screen interaction method includes: determining a secondary display screen selected by a user and screen projection content based on a screen projection operation of the user; when the screen projection content is the target application program, storing graphical data of the target application program in the virtual display memory area; and sending the graphical data in the virtual display memory area and the synthesis data in the main display memory area to the secondary display screen and the main display screen respectively for display.

The invention relates to the technical field of civil engineering, and discloses a CAD earthwork calculation and land use automatic optimization method and system, and the method comprises the following steps: S1, data input: reading CAD graphic data and configuration parameters, verifying the closeness, validity and legality of the data, and storing the data in a database; the CAD graphic data comprises land use range boundaries, terrain elevation points and road center lines; s2, performing dual-mode adaptive earthwork calculation: counting the number N of elevation points, calculating a land area A and an elevation standard deviation sigma, determining an adaptive threshold Nthreshold = f (A, N, sigma, alpha), adaptively selecting a calculation algorithm according to the relationship between N and Nthreshold, and outputting an excavation amount, a filling amount and a clear soil amount. The CAD earthwork calculation and land use automatic optimization method and system have the advantages of integrating earthwork calculation, slope calculation, land use optimization and cost calculation, and being simple in operation, low in learning cost, high in calculation precision, high in efficiency and the like.

The invention belongs to the field of PCB production, and particularly relates to a PCB dry film outer layer heat dissipation windowing production method, which comprises the following steps of S1, screening a Gerber file, and extracting graphic data of a region needing windowing; s2, when the two ends of the windowing area of the copper surface are designed to be sharp, the two ends of the windowing area are modified to be in a semi-arc shape or notches are parallel; s3, generating a light painting file according to the modified graphic data; s4, dry film pressing: applying the dry film to the surface of the PCB in a hot-pressing manner by using a film pressing machine; s5, performing exposure, importing the light painting file into an exposure machine, and transferring a heat dissipation windowing pattern to the PCB laminated with the dry film through the exposure machine; s6, developing: putting the exposed PCB into a developing machine, removing the dry film in an unexposed area by using a weak base solution, and exposing a copper surface windowing area needing to be etched; the pointed part is modified, so that warping of a dry film and accumulation of welding flux are avoided, and the problem of open circuit caused by stress concentration of the pointed structure is solved; and meanwhile, welding flux bridging short circuit during welding of the pointed part is avoided.

The present application relates to the technical field of graphic printing, and particularly relates to a graphic printing method and system based on real-time printing; the method comprises the following steps: receiving configuration information of a current printing task for multi-dimensional extraction, obtaining task attribute parameters, associating the task attribute parameters with each dimension feature, forming a mapping data set and outputting; based on label information of the mapping data set, performing frame-level real-time compression on a graphic data stream; setting a printing parameter reference value corresponding to the task attribute, dynamically adjusting the printing parameter and a transmission strategy based on data dynamic compression transmission according to collected data, and forming a closed-loop control; the system comprises a current task graphic data extraction module, a data dynamic compression transmission module and a current task real-time adjustment module; through the above-mentioned mode, real-time adaptation is performed in combination with dynamic changes of graphic data in a printing process, transmission states and printing quality feedback, when task requirements or printing environments change, quick response can be achieved, and printing efficiency and quality are improved.

This invention belongs to the field of demolition cost assessment technology, specifically disclosing a method for assessing railway route selection and land acquisition costs based on a big data model. The method includes the following steps: constructing a graphical database and a core land acquisition database; acquiring policy-related land acquisition documents and dynamic data for the target area; creating an external database; identifying key factors affecting land acquisition costs; constructing a big data prediction model for land acquisition costs; training the model; and integrating it into a railway route selection design system. When inputting or modifying route plans in the route selection design system, the system calls the big data prediction model for land acquisition costs in real time. Based on the geometric parameters and spatial location of the route, it dynamically calculates and feeds back the corresponding land acquisition cost prediction results, adjusting the route plan until cost control requirements are met. This technical solution achieves dynamic and accurate assessment of land acquisition costs through the deep integration of multi-source heterogeneous databases and a big data prediction model.

The invention discloses an integrated circuit image processing method, electronic equipment and a storage medium, and the method comprises the steps: obtaining a graph data set of a graph layer from a graph data file of an integrated circuit, determining the total number of graphs according to the graph data set, dividing the graph data set into at least one graph data group corresponding to the graph layer, and converting each graphic data group into the first bitmap of the corresponding graphic layer, fusing all the first bitmaps corresponding to the same graphic layer to obtain the second bitmap, and converting the second bitmap into the pixel map of the corresponding graphic layer, so that the graphic data of the graphic layer can be processed on the memory level, and a new pixel map of the graphic layer can be quickly generated. In this way, it is not needed to traverse each data in all data sets for operation and draw each pixel point every time in the prior art, the operation time is shortened, and therefore large-batch graphic data of an integrated circuit can be loaded and displayed in time.

The invention discloses a literal translation method and system based on 4HPU structure coding. The technical problem to be solved is to improve the efficiency from input to execution. The method comprises the following steps of setting 4HPU structure codes, setting Chinese, symbol, graph and data block codes, receiving input information, carrying out code mapping, carrying out path analysis, carrying out instruction mapping and carrying out execution and feedback, and the system is composed of an input interface module, a 4HPU coding module, a path analysis module, an instruction mapping module and an execution and backtracking module. Compared with the prior art, Chinese semantics, symbol sequences, graphic data and data blocks are coded and analyzed through the same sparse activation rule and path mapping mechanism, so that cross-domain multiplexing of the same set of coding system is realized among an operating system instruction layer, an electro-optical display control layer and a communication and storage transmission layer; a cross-domain consistent instruction link is realized, and uniqueness, traceability and low-power-consumption operation are ensured.

Provided is an image processing apparatus that includes an image generating section that generates, in reference to computer graphics (CG) data, a virtual space image corresponding to an imaging range of an imaging section on a real space. For example, a virtual imaging section is installed on a virtual space in a manner corresponding to the imaging section on the real space, and a CG object on the virtual space is imaged to generate a virtual space image. The image processing apparatus includes an image superimposing section that superimposes the virtual space image on a real space image obtained by the imaging section imaging an object on the real space, to obtain a display image.

The invention discloses a forming control system and method for a CNC mold. The system comprises a data acquisition module which is configured to acquire graphic data and performance data of a to-be-processed mold; the data processing module is configured to generate a first tool path used for machining the to-be-machined mold on the basis of the graphic data and the performance data; the monitoring module is configured to obtain monitoring data of a plurality of first preset positions arranged on the first tool path; the correction module is configured to execute correction on the first tool path based on the monitoring data to obtain a second tool path; and a compensation module configured to generate a compensation signal and perform predictive compensation of a plurality of second preset positions of the second tool path. The method can comprehensively consider the influence of thermal deformation, and has real-time monitoring and self-adaptive compensation capabilities.

An anomaly detection system for e-commerce platforms can integrate multiple user touchpoints via a unified interface. Real-time data ingestion may process and store information in an anomaly data lake. A graphical database can link user interactions, devices, accounts, and transactions. A neural network may analyze this data to predict identities and detect anomaly patterns, potentially providing risk assessments. Machine learning models can generate risk scores for accounts and transactions. An anomaly orchestration system may combine assessments and scores, applying dynamic rules to implement prevention actions. The system can capture data throughout the user journey, enabling adaptive protection against evolving anomaly tactics. By integrating advanced analytics and real-time processing, the system may make informed decisions to block, allow, or challenge user actions across the e-commerce platform.

The present application relates to the technical field of computers, and particularly relates to a triangle counting implementation method and apparatus for a graphics processing unit (GPU). The method comprises: acquiring graphics data of a GPU; identifying neighbor lists of all vertices in the graphics data, constructing hash trees in a lock-free manner and on the basis of the neighbor lists of all the vertices, and establishing an index array of the hash trees corresponding to all the vertices; when a target graph vertex is accessed, traversing in parallel all neighbor graph nodes of the target graph vertex, and mapping neighbor lists of all the neighbor graph nodes to a contiguous memory region; and on the basis of the index array and the contiguous memory region, implementing triangle counting. Thus, the problems in the relevant art, e.g., insufficient GPU computing capability, low GPU computational efficiency and poor GPU memory access efficiency, during triangle counting are solved.

Device (10) comprising: - a control device (12) for generating graphic data (G) representing a virtual space (28), - a display unit (14) to be worn on the head (20) by a user (18), which is designed to shield the eyes of the user (18) from light from an environment (24) and to display the virtual space (28) into a field of vision (V) of the user (18) by displaying the graphic data (G), - a localization device (16) designed to detect the spatial orientation (P) of the display unit (14), wherein the display unit (14) has a camera (34) designed to generate image data (C) of the environment (24), which represents the real environment in which the user is located while using the display unit, and the control device (12) is designed to output the image data (C) to the display unit (14) depending on the detected spatial orientation (P), so that the display unit (14), in the case of a certain orientation of the display unit, displays the environment (24), i.e., the real environment in which the user is located, at least in a partial area (46) of the field of view (V) by displaying the image data (C), characterized in that a) the control device (12) is designed to display the image data (C) by means of the display unit (14) during a translational movement of the display unit (14) caused by a movement of the user (18), and / or b) the control device (12) is designed to display the image data (C) by means of the display unit (14) when a change in perspective from which the virtual space (28) is represented by the graphic data (G) occurs, independent of any body movement of the user (18).

To provide a display system, display method, and display program that facilitate the interpretation of the results of principal component analysis. [Solution] In an analysis system in which a server and a user terminal are connected via a network such as the Internet, the server 100 includes a principal component analysis unit 112 having a principal component acquisition unit and a score acquisition unit, a score change reception unit 113, a reconstruction data output unit 114, a difference evaluation unit 115, and a display control unit 116, which analyzes analysis target data such as spectral data, waveform data, graph data, secondary image data, and 3D image data transmitted from the user terminal, and transmits the analysis results to the user terminal.

A camera application receives identifying information associated with a camera accessory for a camera. The camera application determines a unique identifier of the camera accessory based on the identifying information. The camera application provides the unique identifier of the camera accessory and a unique identifier of the camera to a machine-learning model. The machine-learning model outputs one or more optimization parameters associated with the camera accessory. The one or more optimization parameters guide a user on how to use the camera accessory with the camera. The camera application generates graphical data for displaying a user interface that includes the one or more optimization parameters. The camera application applies the one or more optimization parameters.