196 results about "Vector graphics" patented technology

The invention discloses a PDF engineering drawing structured recognition method and device based on multi-dimensional feature fusion and a storage medium, and belongs to the technical field of engineering drawing intelligent processing. The method comprises the following steps: PDF analysis and preprocessing: analyzing a PDF engineering drawing file, extracting a vector graph drawing instruction, text block contents and respective original coordinate information, and carrying out image rendering and standardized preprocessing on a drawing page to generate a binary image with a standard resolution; multi-dimensional feature extraction: extracting the following four types of features from the binary image: a visual depth feature, a text semantic feature, an industry specific symbol feature and a spatial topology feature between elements; feature fusion and relation reasoning: inputting the visual depth features, the text semantic features, the industry specific symbol features and the spatial topological features into a graph neural network fusion module, and constructing a graph structure taking each identified element as a node and taking a spatial topological relation between the elements as an edge, performing feature interaction and fusion among nodes through an attention mechanism, and reasoning a semantic association relationship among drawing elements; and generating structured data: classifying and grouping the drawing elements according to the semantic association relationship, and outputting a structured data file according to a predefined structured format. Therefore, the technical problems of low recognition efficiency and accuracy in the prior art are solved, and the technical effect of efficient and accurate engineering drawing structured recognition is achieved.

The invention discloses a defect multi-angle detection and fusion method based on a vector graph and affine transformation, and relates to the technical field of image processing, and the method comprises the steps: collecting a plurality of sub-images with overlapping regions at a single angle; constructing a collision map at the angle, wherein the view field of each grid corresponds to a sub-image; extracting defect contours from the sub-images and converting the defect contours into defect vector graphs; according to the defect vector set of all the sub-images at the angle, collision detection and cross-sub-image defect fusion are carried out based on the collision map at the angle, and a defect set at the angle is obtained; one angle is selected as a reference angle, other angles are selected as target angles, a defect set of the target angles is transformed to a reference angle coordinate system based on affine transformation, collision detection and cross-angle fusion are carried out on the transformed defect set and the defect set of the reference angles, and a final optical assembly defect set is obtained. And integrated detection of large-area coverage, high-precision alignment and high-efficiency fusion is realized.

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 relates to the technical field of image generation, in particular to a method and system for generating a vector graph based on a text of a large language model, and the method comprises the steps: carrying out the optimization of collected SVG data; rendering the optimized SVG data to obtain a corresponding rasterized image, using a multi-modal large model to generate a corresponding label for the rasterized image as a basic text description, and constructing a multi-modal data set; each entry in the multi-modal data set is a triple composed of the optimized SVG data, the corresponding rasterized image and the basic text description; the SVG data and the basic text description are input into a GPT large model, and detailed text description for the SVG data is generated; and combining the SVG data, the corresponding rasterized image and detailed text description with the collected instruction data set to serve as a training set, and training a pre-constructed basic large language model under the understanding task and the generation task respectively. According to the method, the fine SVG vector graph with consistent semantics can be generated.

This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that utilizes a segmentation approach that distinguishes between smooth-shaded regions from high-frequency regions in an image within a vectorization pipeline to generate a vector image. For instance, the disclosed systems utilize a smoothing function to identify non-overlapping sets of pixels that include locally smooth pixels and pixels with high frequency details for an image. Furthermore, in some instances, the disclosed systems generate separate sets of fill functions (representing color-based regions) using color-based pixel clustering for the non-overlapping sets of pixels. Moreover, in one or more instances, the disclosed systems merge neighboring color-based regions in the sets of fill functions (using color similarity) to generate a set of segmented regions for an image. In some implementations, the disclosed systems utilize the set of segmented regions, from the image, to generate a vector image from the image.

The invention provides an LED instrument navigation information synchronization and display method and system based on Bluetooth interconnection and a medium, and belongs to the technical field of intelligent vehicle-mounted electronics. The method comprises the following steps: generating a structured navigation data set through a navigation application, establishing multi-channel connection based on a Bluetooth 5.0 protocol, and transmitting data by adopting a time division multiplexing mechanism; after the vehicle-mounted terminal receives the data, integrity verification is carried out, a vector graph is restored according to a geographic information frame, and display content is dynamically screened in combination with vehicle real-time state parameters; and fusing the navigation information and the road feature layer by using a hardware acceleration rendering engine to generate a signal for driving the LED array display device. According to the invention, through the technologies of dynamic traffic data access, adaptive frequency modulation, priority data scheduling and the like, efficient synchronization and accurate display of navigation information are realized, and the real-time performance, the reliability and the user experience of the vehicle-mounted navigation system are improved.

The invention relates to the technical field of images, in particular to an image vectorization method and system based on deep learning and edge detection, and the method comprises the steps: obtaining image data of a household appliance module, and carrying out the preprocessing of the obtained image data; taking the preprocessed image data as input to construct an edge detection model, performing optimization processing on an edge probability graph output by the edge detection model, performing edge detection on the preprocessed image data in sequence to generate multiple groups of edge graphs, and performing average processing on the multiple groups of edge graphs to obtain a comprehensive edge image; the optimized marginal probability graph and the comprehensive marginal image serve as input, marginal information is converted into a vector graph, a DXF file is obtained, the optimized marginal probability graph and the comprehensive marginal image serve as input, vectorization conversion is conducted through the Potrace algorithm, optimization processing on the marginal detection result in the early stage is combined, and the edge detection efficiency is improved. Vector graphs with higher precision and less noise can be generated.

The invention discloses an intelligent image-text integrated processing system and method, and relates to the field of engineering. The system provides a vector graphic processing platform, supports the processing of texts, vector graphics, grid graphics, animations, videos and other multimedia data, and can simultaneously complete the processing and mixed typesetting of the multimedia data without calling an external program. The method comprises the following steps of: constructing an image-text large model, providing intelligent conversion and automatic typesetting capabilities for texts and multimedia data, and realizing description and typesetting of multimedia texts such as images and texts automatically generated by vector / grid graphs according to semantic association of the images and texts, or automatically generating the vector / grid graphs by inputting a natural language and intelligently generating a thematic document with both images and texts. According to the method, a large model for image-text processing and generation is constructed, interactive and intelligent image-text generation, processing and typesetting in an automatic mode are considered, and the method is particularly suitable for the fields of engineering and the like which need a large amount of image-text data and have association relations between images and texts, and replaces traditional text type office software.

The invention relates to the technical field of diffusion model AI application, and discloses an AI aided design workflow method and system based on a diffusion model, and the method comprises the steps: receiving multi-modal data; vectorizing the sketch, and extracting key set features; analyzing the text into structured semantics; parameter constraints are converted into mathematical expressions or boundary conditions; mapping the multi-modal data to a unified space; selecting a generation path with the minimum loss function from the candidate paths; gaussian noise is gradually added into the submerged space, and noise distribution is predicted; injecting the parameter constraint into a denoising process to generate a path; and the optimized latent vector is converted into a vector graph through a decoder, and a geometric topological relation is reserved. The system comprises a unified multi-modal data module, a path generation module and a user interaction module. According to the method, the actual availability of a design result is improved; the design period is shortened, the process is simplified, and human resource investment is reduced.

The invention belongs to the technical field of intelligent processing of nuclear power engineering design drawings, and particularly relates to an intelligent analysis system and method for a nuclear power CAD flow chart based on multi-modal data fusion. Comprising a multi-modal feature extraction module, a cross-modal alignment module, a joint analysis module and a dynamic graph generation module, and the multi-modal feature extraction module analyzes a vector graph, a text label and an attribute table to generate standardized features; the cross-modal alignment module is used for establishing space-semantic association among the heterogeneous data; the joint analysis module cooperatively deduces equipment types, reconstructs a connection relation and fuses parameters; and the dynamic graph generation module constructs a spatio-temporal topological graph and optimizes and verifies the spatio-temporal topological graph, and data are transmitted among the modules through standardized interfaces to form a closed-loop optimized link. The method has the beneficial effects that the space-semantic model is constructed, the correlation strength is quantified through the distance attenuation weighting function, and the dynamic decision tree verification method is combined, so that the space automatic alignment is realized, and the alignment confidence is provided.

The invention discloses an artificial intelligence large model application method supporting vector graphic input and processing, and relates to the technical field of artificial intelligence, comprising: receiving a natural language instruction and multi-modal data of a user, the multi-modal data comprising vector graphic data selectable to input by the user; analyzing the vector graphic data, extracting a spatial relationship and a semantic attribute, constructing a structured representation of the spatial relationship and the semantic attribute, performing cross-modal semantic alignment and joint coding on the structured representation and a natural language instruction, and inputting into a multi-modal large model to generate a task execution plan comprising a plurality of steps, and scheduling the multi-mode large model and an external vector graphic processing tool to execute to obtain a processing result, and aiming at solving the technical problem that the vector graphic operation is difficult to directly execute by a general large model, the general cognitive ability of the large model and the accurate execution ability of the external professional tool are decoupled and coordinated; and the application potential of the large model in the professional field is effectively expanded.

The embodiment of the invention provides a multi-mode problem solving method, a multi-mode problem solving system, computing equipment and a medium, and the multi-mode problem solving method comprises the steps that an input image is acquired, and the input image comprises a problem text and an initial problem graph; based on the initial topic graph, analyzing the topic text to obtain a topic analysis result and a target graph element; reasoning the question analysis result based on the target graphic element to obtain an answer text; based on the answer text, performing vector graphic marking on the target graphic element to obtain a vector graphic marking result; and based on a vector graph marking result, rendering the target graph element on the initial topic graph to obtain a rendered topic graph. Students can visually see the answering process and the final result, and the learning effect and the question solving experience are improved.

The invention provides a flight trainer instrument display system based on vector graphics, a dynamic rendering method, computer equipment and a storage medium, and the method comprises the steps: obtaining a cockpit instrument layout, vector graphics elements, a carrier real-time state and environment meteorological terrain information; light field information is generated by processing meteorological topographic data and converted into optical adjustment parameters, and then ambient light compensation data is generated. And mapping the real-time state data of the carrier to the corresponding vector graphic elements to update the display attribute, and calculating the accurate position of each element in the display coordinate system in combination with the layout information. And predicting the rendering time of the next frame by using a long-short-term memory model, and dynamically optimizing the graphic detail hierarchy. And finally, fusing the updated display attributes, the optimized details, the position coordinates and the compensation data for rendering, and outputting a high-quality instrument image to a display screen. According to the invention, the display quality and rendering efficiency of instrument display in a dynamic environment are improved.

The invention discloses an SVG vector diagram-based primitive matching and intelligent recognition system and method, and relates to the technical field of computer graphic processing and mode recognition. The system stores a PDF file through SHA-256 Hash duplicate removal, format conversion is achieved through a tool, an 800DPI PNG image is generated, and the resolution is verified; the affine transformation matrix is analyzed, coordinate normalization and graphic element classification conversion are executed, and complex paths are split, deduplicated and merged; detecting a character area, and deleting corresponding character elements in the SVG; geometric features are extracted to construct a multi-dimensional index, and a template topological structure is analyzed; and selecting anchor points according to priorities, adapting to multiple rotation directions, matching non-anchor point elements through dynamic tolerance, verifying connection points in combination with adaptive topology tolerance, and finally outputting a matching result containing confidence. The system realizes efficient identification and accurate matching of technical drawings through standardization processing and an intelligent matching algorithm, and is suitable for scenes such as industrial drawing analysis and document digitization.

The embodiment of the invention provides an image correction method and an image correction system, and the method comprises the steps: obtaining an initial question graph, a vector graph marking result, an answer text, and a rendering question graph, the vector graph marking result is obtained by performing vector graph marking on a target graph element in the initial question graph based on the answer text, and the rendered question graph is obtained by rendering the target graph element based on the vector graph marking result; comparing the initial question graph with the rendered question graph, and extracting a target graph element; based on the answer text, performing consistency verification on the target graphic element to obtain a verification result; and based on the verification result, adjusting the rendering question graph to obtain an image output result. Errors existing in target graphic elements are actively and efficiently perceived, and the rendered question graph is adjusted based on the verification result, so that the blank that an existing automatic drawing system lacks a drawing quality control mechanism is filled.

An example method for pre-processing documents includes receiving, by a computing device, an initial document in digital format. The method includes detecting, by the computing device and based on a computerized analysis of the initial document, one or more attributes of the initial document. The one or more attributes may include a font detail or a vector graphics, or both. The method includes generating, by the computing device and based on the detected one or more attributes, a hierarchical structure associated with the initial document, the hierarchical structure interconnecting one or more components of the initial document. The method includes transforming, by the computing device and based on the hierarchical structure, the initial document to a modified document, wherein the modified document comprises one or more navigable links that facilitate computerized navigation of the hierarchical structure. The method includes providing, by the computing device, the modified document.

Systems and methods for image processing are described. Embodiments of the present disclosure receive a raster image depicting a radial color gradient; compute an origin point of the radial color gradient based on an orthogonality measure between a color gradient vector at a point in the raster image and a relative position vector between the point and the origin point; construct a vector graphics representation of the radial color gradient based on the origin point; and generate a vector graphics image depicting the radial color gradient based on the vector graphics representation.

The invention relates to a method and device for automatically generating an equipment data report based on a drawing and a storage medium, and is applied to the technical field of equipment drawing recognition. Comparing the vector graphic data with preset graphic data to extract signal equipment information of the vector graphic data; obtaining geometric features and associated attribute texts in the signal equipment information, and generating structured equipment data; associating the structured equipment data with the station yard BIM model to realize binding of lightweight data with machine account information; obtaining a query condition input by a user, developing a natural language understanding engine based on the BERT model to perform joint indexing of time dimension and space dimension on the query condition input by the user, and obtaining target equipment; and matching the target equipment with a preset report template, and generating a multi-dimensional statistical report through the preset report template.

The invention discloses a river ice range extraction method based on a KAN-UNetFormer model and a Landsat image, and belongs to the technical field of remote sensing geoscience application. The method comprises the following steps: acquiring a multispectral image containing river ice distribution and constructing a training data set; preprocessing the multispectral image, and marking a river ice area of the preprocessed multispectral image; the labeled multispectral image is input into a KAN-UNetFormer model, a comprehensive loss function is constructed, and the model is trained; and obtaining a multispectral image to be extracted, obtaining a binary image by using the trained model, converting the binary image into a vector graph of a river ice range, obtaining a river ice region in the multispectral image, and completing river ice range extraction. The method is good in reliability, and can provide technical support for related research of river ice.

The invention relates to the technical field of numerical control machining and path planning, and discloses a sharp corner compensation method, device and equipment based on a vector path and a medium. The sharp corner compensation method comprises the steps that a vector graphic file is obtained, path data is extracted, and coordinate information of a straight line segment and a curve segment in the path is analyzed; judging sharp corners and generating a sharp corner set according to the line segment connection relation and the side length non-zero condition, calculating a supplementary angle of each sharp corner and determining a compensation parameter by combining the radius of the cutter, generating a compensation point coordinate set based on the compensation parameter, and adjusting the cutting path according to the compensation point coordinate set to generate a cutter path optimization instruction. According to the method, the geometric features of the vector path are automatically identified and the compensation point of the sharp corner area is calculated, so that accurate compensation and path optimization of the sharp corner in the two-dimensional cutting equipment without rotation control are realized, the cutting precision and the edge forming quality are effectively improved, the path offset and the corner error are reduced, and the product quality is improved. And the continuity of the cutting track and the stability of the machining effect are ensured.

The invention provides a formula real-time editing and rendering method of a rich text editor, which specifically comprises the following steps of: acquiring an input formula code of a user, performing incremental rendering, identifying a formula structure through an incremental analysis algorithm based on an abstract syntax tree (AST), and generating intermediate representation data; integrating text paragraphs and formula nodes into a single data stream, wherein each formula node stores the input formula code, the AST, the intermediate representation data and a rendering vector graph; and according to the difference comparison result of the AST, a GPU acceleration interface is called to carry out local redrawing on the change part, and the rendering result is updated and inserted into the cursor position of the rich text editor, so that the real-time editing and rendering method is simple in process and good in editing and rendering effect. The invention further provides a formula real-time editing and rendering system of the multi-platform adaptive rich text editor, computer equipment and a readable storage medium.

This invention provides an intelligent document generation system and its control method, characterized in that: the system includes: a dynamic template engine module; an intelligent content generation module; an adaptive format optimization module; and an automatic detection module; the dynamic template engine module determines logical branches through XML tags in a dynamic template language, which can overcome the limitations of traditional placeholder replacement, decouple document structure and data, and adapt different logical branches according to different data, effectively improving the adaptability of data dimensions; the intelligent content generation module can combine a pre-trained model to generate coherent natural language text descriptions, and dynamically render charts on this basis, embedding icons into the text in the form of vector graphics, realizing the collaborative generation of text and charts, and reducing the cost of manual writing, drawing and typesetting by collaboratively generating text and charts that conform to the context.

A method can include generating a graphical user interface that includes vector graphics representations of equipment of a system for well operations, a data graphic for rendering sensor data of the system, and a graphical control actuatable to issue a control instruction for control of the system, where the system includes an uninterruptible power supply (UPS) and a blowout preventer (BOP), and where the UPS is selectively, operatively coupled to one or more electric actuators for changing a state of the BOP; responsive to operation of the system, receiving sensor data; and updating the data graphic based at least in part on the sensor data.

The invention discloses a cellular algorithm optimization-based topological relation detection graph model extraction method, system and device and a medium, and belongs to the technical field of power equipment management and intelligent retrieval, and the method comprises the steps of analyzing an SVG vector graph file, and extracting preliminary information of an electrical primitive and a topological relation; taking the extracted electrical primitives as cells, and establishing an initial topological connection matrix; based on a cellular algorithm, defining a state transition rule of cells; data fusion among the SVG graph, the CIM model and other unstructured files is realized through a multi-modal graph model data extraction technology, and the optimized topological relation is associated and matched with equipment information in the CIM model; and according to the optimized topological relation and the fused graph model data, constructing a visual model of the power system. According to the method, the actual connection condition of the power system can be reflected more accurately, and the problems of inaccurate graph model data extraction and low topological relation detection efficiency are solved.

The embodiment of the invention provides a multi-modal problem solving method and a multi-modal problem solving system.The multi-modal problem solving method comprises the steps that an input image is obtained, and the input image comprises a problem text and a problem graph; analyzing the question text to obtain a question analysis result and a target graphic element; performing vector graphic marking on the target graphic element in the topic graphic to obtain a vector graphic marking result; and based on a vector graphic marking result, reasoning a question analysis result to obtain an answer text. Attention on image details is improved in a vector graphic marking mode, image perception precision is improved, a vector graphic marking result can serve as an intermediate representation in a processing process, interpretability of a problem solving process and understanding of a verification method on the image details are enhanced, and a problem analysis result is reasoned based on the vector graphic marking result, so that the accuracy of image perception is improved. Direct perception of possible errors can be avoided, and the problem solving accuracy is improved.

The invention discloses an improved CycleGAN-based PCB dummy pad automatic generation method and system, belongs to the field of electronics and the technical field of computers, and solves the problem that an automatic design method combining deep learning and physical constraint is lacked in the prior art. Analyzing the PCB script file, and outputting structured data; based on the structured data, an image data set is constructed, and the image data set comprises a PCB source domain image and a PCB target domain image; carrying out the improvement of the CycleGAN, and carrying out the training of the improved CycleGAN through employing an image data set; a PCB source domain image is input into the trained CycleGAN, and a complete PCB dummy pad prediction map is generated; performing vectorization processing on the complete PCB dummy pad prediction map to generate a vector graph; performing coordinate transformation on the vector graph to generate a PCB file; and evaluating the thickness uniformity of the PCB based on the PCB file.

The invention relates to an image processing method, a map generation method, electronic equipment and a storage medium. The image processing method comprises the following steps: extracting image features from an environment image to obtain a feature map of the environment image; segmenting the feature map through at least two different types of geometric element models to obtain different types of geometric element maps; fusing the geometric element diagrams of different categories to obtain a first fused diagram; and performing vectorization processing on geometric elements in the first fusion image to obtain a structured vector graph corresponding to the environment image.

The invention discloses a building vector graph multi-scene intelligent simplification method and system, and belongs to the technical field of geographic information systems. Comprising the following steps: establishing a four-level data system comprising an original data layer, an engineering cache layer, a display cache layer and a terminal view layer; monitoring data change and user interaction events through an event bus; the event is responded, the current application scene is intelligently recognized, and the corresponding simplified parameter configuration is dynamically loaded; based on the configuration, executing simplification logic on the target building vector graph; querying a topological relation to carry out cooperative processing on the contours of the adjacent buildings; and synchronously updating a processing result to the four-level data system. Through four-stage data caching, dual-drive triggering and scene self-adaptive judgment, efficient, high-quality and self-adaptive processing of building simplification in multiple scenes such as cartographic integration, real-time display and spatial analysis is realized, and the system flexibility, the resource utilization rate and the user experience are improved.

The invention discloses an icon-related XML format recognition method, an icon format recognition method and a server, and the method comprises the steps: obtaining an XML document according to an icon file path in an installation package, and extracting a tag name of a root element; when the tag name is identified as a vector graph type or an adaptive icon type, reading attribute information or child node information of a root element, and executing structural integrity verification; and finally determining the icon format type according to the structure verification result and the tag name. According to the method and the device, through a dual detection mechanism of extension shunting and content deep analysis, and in cooperation with a main and standby analysis fault-tolerant strategy, accurate identification in an environment without Android running is realized, the problem of misjudgment of an XML icon format is effectively solved, and the consistency of icon display is ensured.

The application provides a geometric figure processing method and device, equipment and a storage medium. The method comprises the following steps: acquiring a to-be-recognized image, and recognizing and cutting the to-be-recognized image to determine an initial geometric illustration; performing optimization processing on the initial geometric illustration to determine a target geometric illustration; performing denoising processing on the target geometric illustration to obtain a denoised geometric illustration, acquiring image features of the denoised geometric illustration, classifying the image features to determine a target geometric element, and determining a first vector element according to the target geometric element and a geometric element relationship obtained by disassembling the target geometric element; editing a to-be-edited vector element in the first vector element based on an editing instruction, determining a vector figure according to the to-be-edited vector element and a non-editing vector element, and exporting the vector figure to a figure resource library in a standard format. Thus, high-precision recognition is performed on the geometric figure, and the subsequent labor cost for adjusting the geometric figure is greatly reduced.