7563 results about "Graphics" patented technology

An example operation may include at least one of receiving, via a user interface of a device, an activation input from a user to initiate a session, capturing, by a camera of the device, a scan of a body of the user, wherein the capturing comprises recording at least one image and / or at least one video of the user, processing the at least one image and / or video to generate a three- dimensional model of the user comprising measurements and contours of the body, retrieving, from a database, at least one clothing item associated with the user, the at least one clothing item comprising dimensional attributes and texture attributes, rendering, by a graphics processing unit, the at least one clothing item onto the three-dimensional model to generate a visual representation, wherein the rendering simulates draping behavior, movement, and light interaction of the at least one clothing item relative to the three-dimensional model, and displaying, on the user interface, an interactive visualization comprising the visual representation of the three-dimensional model with the at least one clothing item from multiple viewing angles.

The invention discloses an industrial personal computer and multi-graphics card collaborative parallel computation acceleration system, which relates to the technical field of industrial resource allocation and parallel computation, and comprises a resource monitoring and predicting module, a resource management module and a prediction type resource preparation module, the task splitting and collaborative execution module comprises a task splitting module, a cross-node collaborative module and a collaborative operation engine; the intelligent scheduling and dynamic resource allocation module comprises an intelligent scheduler, a dynamic resource allocation module and a conflict avoidance module. According to the method, the GPU video memory utilization rate, the core utilization rate, the temperature, the video memory fragment rate, the available video memory total amount, the CPU core total utilization rate, the load condition and the idle core number index are collected in real time through a resource monitoring module, and the video memory capacity, the GPU core occupancy rate and the CPU load requirement are predicted in advance before a task is submitted in combination with a gradient boosting decision tree and a neural network prediction model; and resources are reserved, so that the scheduling delay is remarkably reduced, and the scheduling hit rate is improved.

The invention discloses an automatic monitoring method for infrastructure construction operation violation based on multi-modal data fusion, and belongs to the technical field of graphic data processing and pattern recognition, and the method comprises the steps: obtaining multi-modal source data of a target scene, carrying out the data recognition and standardization processing of the multi-modal source data, and generating preprocessing feature data; acquiring an on-site environment condition, and generating an environment state parameter; performing dynamic weight distribution on the preprocessed feature data based on the environment state parameters to generate weighted feature data; performing multi-source data conflict judgment and resolution on the weighted feature data to generate conflict resolution event data; and based on a preset behavior rule pattern library, performing behavior pattern matching on the conflict resolution event data to generate a violation judgment result. According to the method, a multi-modal spatial-temporal feature fusion and dynamic weight distribution mechanism is adopted, and an environment adaptive perception and multi-source data conflict resolution technology is combined, so that automatic monitoring and pattern recognition of illegal behaviors in a construction environment can be realized.

Systems and methods are provided for facilitating management of interactions and training for AI (artificial intelligence) agents. Systems generate and display interfaces for training AI agents and for receiving user instructions. The systems parse user instructions to identify tasks to be performed by the AI agents. The systems cause the tasks to be split into subtasks to be performed by the AI agent. The systems also display a dialog frame that presents the user instructions along with AI agent responses that identify the subtasks. The systems also display a graph that visually identifies a processing flow of the subtasks and that dynamically updates the processing flow to reflect a status of progress for the AI agent performing the subtasks.

The invention relates to a three-dimensional Mesh model hole repairing system and method considering curvature characteristics of a scene structure, and belongs to the technical field of three-dimensional modeling and graphic processing. Comprising the following steps: S1, identifying boundary holes in a three-dimensional Mesh model, and classifying the boundary holes according to form and location features; s2, constructing a hierarchical structure of the boundary holes based on a topological relation of the block grids; s3, repairing boundary holes layer by layer based on the hierarchical structure, wherein the boundary holes are converted into closed holes, and curved surfaces are fitted; and S4, smoothing the triangulation network of the repairing area and the adjacent boundary of the original model, so that the triangulation network is naturally transited. According to the method, each block grid serves as a basic repairing unit of the boundary holes, the hierarchical relation of the boundary holes is established, and the holes are repaired layer by layer from outside to inside, so that the hole repairing efficiency is improved, the applicability of the method is enhanced, and the repairing precision is ensured.

The invention provides a manufacturing and processing photoetching method and system of a display panel, and relates to the technical field of photoetching processing. According to the method, the display panel substrate is subjected to cleaning, prime coating and partition division to form an imageable micro-mark covering all exposure partitions, and the thickness and the uniformity are measured after lower-layer supporting glue and upper-layer imaging glue are sequentially formed; carrying out in-situ acquisition and modeling by taking the micro-mark as an imaging object, and generating an exposure correction instruction and an overlapping energy table; performing partition exposure and real-time correction by using a digital micromirror, and completing development to obtain an anti-etching window with a steep side wall; and setting an etching window according to the exposure record and the window quality data, and executing low-damage etching and defect recovery to form stability evaluation data. According to the method, comprehensive improvement of high-precision exposure, pattern consistency and electrical stability is realized.

Techniques for multimodal document retrieval are disclosed herein. Multimodal documents that include both textual and graphical components are retrieved from a knowledge base by a multimodal retrieval augmented generation (RAG) agent in response to a query. The documents and / or components or chunks thereof are retrievable by the RAG agent from the knowledge base using the semantic summaries and / or vector search of embeddings in the knowledge base that are generated from text extracted from processing non-textual components of the data. The RAG agent classifies the query type to determine whether to use a semantic match for text or image summaries, full text semantic search, vector cosine similarity search, and / or other multimodal vector search. The RAG agent performs types of searches selected based on the modality used to generate the response to the query.

The invention discloses a 3D art model intelligent generation system and method based on multi-source data fusion, and relates to the technical field of computer aided design and graph generation, and the system comprises a multi-source data input module which is used for receiving a conceptual design drawing, text description and a reference 3D model; the feature extraction module comprises an image feature extraction unit used for extracting a style feature vector and a structure contour vector of the conceptual design drawing; and the text semantic analysis unit is used for outputting a key attribute tag vector described by the text. According to the 3D art model intelligent generation system and method provided by the invention, through multi-source data input including the concept design drawing, the text description and the reference 3D model, the design intention is comprehensively fused, the limitation of a single data source generation model is solved, and the dynamic weight distribution strategy and the closed-loop optimization mechanism of the 3D art model intelligent generation system and method are high in practicability. The geometric shape and style characteristics of the generated model are highly consistent with the design intention, and the workload of manual later correction is reduced.

The invention discloses a multi-target tracking method, system and device, a medium and a product, and relates to the technical field of computer graphic vision, and the method comprises the steps: based on a plurality of single-view two-dimensional images, employing a lightweight key point detection model to extract human body two-dimensional key point coordinates under different views; based on the camera parameters corresponding to different visual angles and the human body two-dimensional key point coordinates under different visual angles, performing three-dimensional reconstruction on the human body key points by using a triangulation method to obtain a three-dimensional reconstruction model; projecting the three-dimensional reconstruction model, and determining a projection frame corresponding to each target in the tracked area; and a tracking algorithm and Kalman filtering are combined to complete real-time tracking of a plurality of targets in the tracked area. According to the method, the three-dimensional target tracking problem is reduced into the two-dimensional target tracking problem based on the projection frame of the three-dimensional reconstruction model relative to the horizontal plane, the accuracy and robustness of the model can be improved in a multi-target tracking scene, and meanwhile, the calculation amount is reduced.

Implementations of this specification provide key-value cache management, model reasoning, and data processing methods and apparatuses for large language models. In an implementation, a method comprises allocating a virtual memory block in a virtual address slot to newly-added token key-value data of a model reasoning request, in response to determining that a scheduling result of the model reasoning request indicates the model reasoning request is scheduled for execution, maintaining a mapping relationship between an occupied virtual address slot and a physical graphics memory block allocated to the model reasoning request, and copying the newly-added token key-value data to the physical graphics memory block.

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 invention provides a heterogeneous computing resource scheduling method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-scheduled computing task, and extracting operator features of the to-be-scheduled computing task; splitting the to-be-scheduled calculation task into a first sub-task suitable for being executed by a graphics processor and a second sub-task suitable for being executed by a quantum calculation unit according to the operator characteristics; a first resource group is matched for the first subtask in a preset resource group set, a second resource group is matched for the second subtask, and the preset resource group set comprises the first resource group and the second resource group which are obtained by dividing a heterogeneous computing resource pool; the first resource group comprises at least one graphics processor computing unit, and the second resource group comprises at least one quantum computing unit; and scheduling the first sub-task in the first resource group, and scheduling the second sub-task in the second resource group.

One example provides a computing device comprising a display device, a logic subsystem, and a memory subsystem. The memory subsystem comprises instructions that are executable by the logic subsystem to display a graphical airspace representing an airspace on the display device, and obtain one or more notice to air missions (NOTAMs) related to the airspace. The instructions are further executable to, for each NOTAM of the one or more NOTAMs, display a graphic overlay on the graphical airspace. The graphic overlay has an appearance based at least upon a determined status of the NOTAM.

The invention discloses a communication method between graphics processors, a product, equipment and a medium, relates to the technical field of high-performance calculation and artificial intelligence acceleration, and is applied to a stand-alone system comprising a plurality of graphics processors and a central photoelectric hybrid switching chip constructed based on interconnection of an electric switching matrix and an optical switching matrix. The graphics processor is connected with the central photoelectric hybrid switching chip through an optical link and an electric link; the method comprises the following steps: performing data classification on to-be-transmitted data of a source graphics processor; if the to-be-transmitted data is a control flow, the source graphics processor is controlled to send the to-be-transmitted data to an electric switching matrix through an electric link, and then the to-be-transmitted data is routed to a target graphics processor in the graphics processors; and if the to-be-transmitted data is a data stream, the source graphics processor is controlled to send the to-be-transmitted data to the optical switching matrix through the optical link, and then the to-be-transmitted data is routed to the target graphics processor. Interconnection between graphics processors is optimized to improve communication efficiency between graphics processors.

The invention relates to the technical field of computers, and discloses a data transmission method and electronic equipment, the method is suitable for a host, a plurality of data channels are arranged between the host and a graphics processor, and the host is deployed with buffer areas corresponding to the data channels. The method comprises the following steps: determining scheduling priorities of a plurality of data channels based on first communication data of the plurality of data channels and a target scheduling model; determining a target data channel in the plurality of data channels based on the scheduling priority; writing to-be-sent data in the shared cache space to obtain a target address of the to-be-sent data in the shared cache space; writing the target address into a target buffer area corresponding to the target data channel; wherein the graphics processor is used for reading the target address in the target buffer area through the target data channel, and reading and processing the to-be-sent data in the shared cache space according to the target address. The problem of data loss in a data interaction scene of the host and the graphics processor can be solved.

The invention discloses a graphic rendering system and method based on OpenGL SC and a related product. The system comprises a rendering interface module used for providing a high-order graphic rendering function interface for an application program to receive graphic modeling data; the data conversion module is used for converting the graphic modeling data into intermediate drawing data conforming to the OpenGL SC standard; the graphic processing module is used for executing graphic calculation and rendering logic based on the intermediate drawing data and generating a rendering instruction; and the graph drawing module is used for calling the underlying OpenGL SC function library to execute the rendering instruction so as to complete graph rendering. According to the graphic rendering system, the underlying graphic pipeline is packaged inside, the development threshold and complexity are reduced through the high-order graphic interface, and the development efficiency and reliability are improved. All the modules are standardized and coordinated to realize complete process packaging from data to rendering, so that optimization and maintenance are integrated inside, and the maintainability, expandability and stability of the system are enhanced.

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.

The invention relates to a method for constructing and visualizing a knowledge graph of a secondary virtual loop of an intelligent substation, which solves the problems of incomplete visualization, incomplete relevance, poor readability and the like in the prior art, and adopts the technical scheme that the method comprises the following steps of: acquiring an SCD configuration file and an optical fiber link table of the intelligent substation; reading and analyzing the SCD configuration file, and obtaining virtual loop configuration information of the whole station; matching the virtual loop with the soft pressing plate based on the configuration information of the virtual loop of the whole station; matching the physical loop with the virtual loop based on the total station virtual loop configuration information and the optical fiber link table; constructing a knowledge graph based on the total station virtual loop configuration information; and constructing a total station secondary equipment virtual loop configuration database based on the knowledge graph. The method has the advantages that the configuration information of the virtual loop of the whole station can be completely presented in a graphic form, the visualization degree of the secondary virtual loop of the intelligent station is effectively improved, and the working efficiency of on-site technical improvement, defect elimination, verification and the like is improved.

The invention relates to a data processing method, a processor, a chip, a display card and electronic equipment, and relates to the field of intelligent computing, and the method comprises the following steps: reading a part of a first matrix from a local memory or a register of a computing unit in response to M tensor computing engines in a tensor computing engine cluster, reading the second matrix from the tensor memory, and executing matrix operation by the M tensor calculation engines according to part of the first matrix and the second matrix respectively to obtain operation results corresponding to the M tensor calculation engines; and the M tensor calculation engines respectively write operation results corresponding to the M tensor calculation engines into registers of the M tensor calculation engines. According to the embodiment of the invention, the computing power can be increased under the condition that the sizes and the bandwidths of the local memory and the register in the computing unit are not increased.

A computer-implemented method and apparatus for managing physical and digital products' customization using container format are disclosed. In some embodiments, the method comprises receiving a container file with serialized objects, deserializing these objects to form a hierarchical object structure, and interacting with a database to obtain real-time configuration data. Custom attributes of the products are defined by binding attribute / value pairs to the hierarchical structure. A visualization of the customized product is generated based on these pairs, and manufacturing instructions are determined considering the attribute / value pairs and manufacturing constraints. The apparatus comprises a memory and a processor to execute instructions for deserializing the container file, retrieving configuration data, organizing objects into a hierarchical tree, negotiating product customizations, and outputting manufacturing data. This system enables efficient and accurate production of customized products by managing data, rendering graphics, and incorporating manufacturing constraints.

The invention relates to a graph dragging method and a graph dragging device for an online graph editor. The graph dragging method of the online graph editor is used for calculating a coverage area according to a graph node dragging instruction to obtain a dragging area of a current graph node; redrawing the dragging area of the current graph node according to the off-screen cache image of the graph node to obtain a dragged graph node; judging whether the current dragged graphic node triggers the change of the end point of the connecting line or not: if so, carrying out path obstacle avoidance calculation on the connecting line according to the dragged graphic node to obtain the connecting path of the dragged graphic node, carrying out dragging rendering on the connecting path corresponding to the dragged graphic node, and carrying out visual display on the dragging effect; and if not, ending the dragging operation process of the graph node. According to the graph dragging method of the online graph editor, the rendering load of the main thread of the browser is remarkably reduced, and the user experience is effectively improved.

The invention discloses a matrix multiplication task execution method and device, equipment, a medium and a program product, the method is applied to a processor unit in a graphics processor, and the method comprises the steps that in the process that the processor unit executes a matrix multiplication task, the processor unit executes the matrix multiplication task; distributing a target register for the matrix multiplication task in the processor unit, wherein the target register comprises a shared register; generating at least two types of second thread bundles for executing the matrix multiplication task; the at least two types of second thread bundles asynchronously execute the matrix multiplication task based on the common register; and the common register is used for storing an intermediate result of the matrix multiplication task.

The invention discloses a layout generation method for load effect compensation and a related device, which are applied to the technical field of photoetching and comprise the following steps: acquiring photomask data; carrying out grid division on the mask graph according to the photomask data, and determining layout density in each grid; comparing the layout density of each grid with a target density, and determining a density difference value corresponding to each grid; determining a virtual graph corresponding to each grid according to the density difference value; and adding a corresponding virtual graph in a layout area corresponding to the grid to form a compensated mask plate graph. By performing grid division on the mask plate graph, calculating the specific layout density in each grid and adding the corresponding virtual graph to the layout area corresponding to the grid according to the difference value between the layout density and the target density, the graph density of the layout area in each grid can be effectively compensated, so that the load effect of each area in the layout is balanced, and the performance of the mask plate is improved. And the etching uniformity is improved.

A task generation method performed by a computer device includes: obtaining task requirement information inputted based on a task generation interface; calling a large language model, and inputting the task requirement information into the large language model for performing semantic interpretation on the task requirement information and outputting an executable structural body of a target task that matches the task requirement information; performing graphic rendering on the target task based on the executable structural body of the target task, to obtain a task execution flowchart of the target task, and displaying the task execution flowchart in the task generation interface, the target task being formed according to one or more target atomic tasks; and displaying an execution progress viewing link of the target task in the task generation interface, the execution progress viewing link being configured for viewing an execution progress of the target task.

Embodiments described herein relate to systems and methods for suggesting automation rules in collaboration platforms. A graphical user interface of the content collaboration platform may be displayed. In response to a first user input to the graphical user interface, an automation rule template may be selected. A rule suggestion interface having a set of graphical elements may be displayed, each graphical element corresponding to a respective automation component of the automation rule template. In response to a second user input, a value may be assigned to an instance of an automation component associated with a graphical element of the set of graphical elements. In response to a third user input a new automation rule may be created based on the automation components of the automation rule template.

The embodiment of the invention discloses a photoetching mask updating method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a target chip layout, constructing a mask pattern and a level set function, and performing photoetching simulation on the mask pattern to obtain a wafer pattern; determining target loss according to the difference between the target chip layout and the wafer pattern, obtaining a first optimization item through a conjugate gradient optimizer, and obtaining a second optimization item through an adaptive moment estimation optimizer; performing attention processing on the target chip layout to obtain a target attention map, and adjusting the second optimization item based on the target attention map; updating the level set function based on the first optimization item and the adjusted second optimization item, and updating the mask pattern based on the updated level set function; according to the embodiment of the invention, while the complexity of the mask pattern is reduced, the pattern error of the mask pattern is effectively reduced, so that the correction precision of the mask pattern is improved, and the method can be widely applied to scenes such as cloud technology and chip manufacturing.

The invention relates to the technical field of fuel cell monitoring and health management, and discloses an intelligent cooperative high-power proton exchange membrane fuel cell life prediction and fault diagnosis method and system, and the method comprises the following steps: S1, collecting multi-dimensional data of a stack key region in real time through a distributed sensing array; s2, removing noise and abnormal values of the collected data, and carrying out feature extraction; s3, constructing a dual-model collaborative prediction framework; s4, inputting the real-time features into the double models; s5, generating a maintenance strategy and early warning; according to the invention, special hardware accelerators such as a graphic processing unit or a field-programmable gate array are integrated on the edge computing module, so that the processing speed and efficiency of high-frequency and multi-source sensor data at a local end are remarkably improved; a distributed computing framework is adopted in a cloud analysis module to process mass feature data transmitted by an edge end, so that the capability and scale of the system for performing deep analysis on the health state of the fuel cell, accurately predicting the remaining service life and quickly tracing the fault are enhanced.

The invention belongs to the technical field of visual positioning, and relates to a visual positioning method based on semantic comprehension and attribute distinguishing enhancement. The framework mainly comprises a feature coding module, a semantic sensitive data enhancement module, a fine-grained attribute guiding module and a multi-stage cross-modal decoder module. Specifically, the feature coding module performs feature coding on an input graph. The semantic sensitive data enhancement module generates a plurality of queries which are consistent with long text semantics by keeping the consistency of spatial relation words in combination with a large language model, so that a training data set for the long text is expanded. The fine-grained attribute guiding module extracts attribute prior information from a text query in combination with a text graph model and an image encoder, constructs a visual feature representation with higher discrimination by using the information guiding model, and generates a target query with attribute difference at the same time.

An apparatus to facilitate hardware acceleration of resource barriers in a graphics environment is disclosed. The apparatus includes resource barrier hardware circuitry for processing cores and a graphics pipeline to: receive a resource barrier instruction to transition a resource utilized by the graphics pipeline from a first usage to a second usage; responsive to the resource barrier instruction, cause a draw group marker having a current draw group count to be sent to an end of the graphics pipeline to track completion of each stage of the graphics pipeline; increment the current draw group count to a new draw group count for each new draw group of the graphics pipeline; and determine that a current signal stage of the graphics pipeline is complete for a current draw group responsive to a done count for the current signal stage being less than or equal to the current draw group count.

The invention discloses a model performance test method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. The theoretical maximum lexical throughput of a target large language model is calculated based on the video memory bandwidth of a graphics processor, the model parameter quantity, the byte number corresponding to the quantization precision and the video memory bandwidth utilization rate; meanwhile, the benchmark performance throughput is obtained, a theoretical corresponding first concurrency number is calculated in combination with the theoretical maximum lexical unit throughput and the concurrency competition loss coefficient, then the model test is executed based on the first concurrency number to obtain the actual maximum lexical unit throughput and a corresponding second concurrency number, and a model performance test result is generated. The problems that in the prior art, due to the fact that manual testing is conducted depending on manual intervention, a continuous approaching attempt mode is adopted, a reasonable test starting point is not deduced in combination with hardware core bottlenecks and key parameters, evaluation is time-consuming and labor-consuming, the result is prone to being affected by artificial factors, and accuracy and consistency are poor can be solved.