147 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 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 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.

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.

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.

The invention provides a method, a device and equipment for processing a target electronic file containing an electronic signature. The processing method comprises the following steps: acquiring the target electronic file containing the electronic signature; analyzing the content of the target electronic file to generate a vector graph; extracting electronic signature data of the electronic signature; performing compliance verification on the electronic signature data to obtain a verification result; and displaying the vector graph and the verification result. According to the embodiment of the invention, the electronic signature processing requirements of various electronic file formats can be met at the same time, the vector graph after analysis of the electronic file is displayed, and the verification result of the electronic signature data is synchronously displayed.

This invention relates to the field of drawing recognition technology, and discloses a method, apparatus, device, and readable storage medium for beam span recognition in vector graphics. The method includes: acquiring a target vector graphic and its corresponding matrix representation; identifying key beam span points from the matrix representation; determining the beam span type based on these key points; and mapping the positions of the key beam span points to the target vector graphic to obtain beam span elements corresponding to the beam span type in the target vector graphic. By implementing this invention, the recognition of beam span elements is not limited by the drawing method, ensuring the accuracy of beam span element recognition. This enables accurate identification of the positional information of beam elements, further guaranteeing accurate identification and attribute matching of beam elements.

The application discloses a kind of based on BIM technology's building feature extraction and mapping method, comprising the following steps: constructing three-level building feature system including microcosmic, mesoscopic and macroscopic features, and being associated with BIM model component by unique ID;BIM model is exported and feature data is extracted, and original sample set is formed;By data enhancement, construct heterogeneous sample library;Three-way scanning is carried out along XYZ axis, and series of profile, plan and three-dimensional point cloud model are generated, and standardized pretreatment is carried out;BIM parameters and multi-view features are input into dual-channel fusion network, and high-dimensional feature tensor is output after tensor fusion and decomposition;Feature tensor is converted into vector graphics by mapping module;Mixed loss function is used to pretrain and fine-tune the network, and finally realize lightweight deployment.The method realizes efficient and automated generation from BIM model to standard engineering drawings, and improves the precision and efficiency of building information extraction and mapping.

The present disclosure relates to systems, non-transitory, computer-readable media, and methods for the three-dimensional rotation of vector graphics. In particular, in some embodiments, the disclosed systems provide a two-dimensional vector graphic in a first orientation for display via a graphical user interface of a client device. Additionally, in some embodiments, the disclosed systems receive user input to rotate the two-dimensional vector graphic in a three-dimensional space to a second orientation. Furthermore, in some embodiments, the disclosed systems generate a new two-dimensional graphic using a neural diffusion network, which represents the two-dimensional vector graphic rotated according to the user input. Finally, in some embodiments, the disclosed systems provide the new two-dimensional graphic in the second orientation for display via the graphical user interface.

The invention provides an intelligent document generation system and a control method thereof. The intelligent document generation system is characterized by comprising a dynamic template engine module; an intelligent content generation module; an adaptive format optimization module; and an automatic detection module. A dynamic template engine module is arranged, a logic branch is determined through an xml label in a dynamic template language, the limitation of traditional placeholder replacement can be broken through, different logic branches can be adapted according to different data while decoupling of a document structure and data is achieved, and the adapted data dimension is effectively improved; an intelligent content generation module is arranged, coherent natural language text description can be generated in combination with a pre-training model, a chart is dynamically rendered on the basis, icons are embedded into a text in a vector diagram mode, collaborative generation of the text and the chart is achieved, and the text and the chart which conform to the context are generated in a collaborative mode. And the manual writing, drawing and typesetting cost is reduced.

The application discloses a laser engraving system and method based on a vector graph structure and light field modulation, and relates to the fields of optics and laser processing. The system mainly comprises a laser, a light beam shaping and polarization modulation module, a light beam modulation module and an objective. The application obtains basic constituting shapes, sizes and position information of a structure to be processed by analyzing vector graph information, and then designs a corresponding spatial light modulator holographic phase diagram. The spatial light modulator loads the holographic phase diagram to perform phase modulation in a laser processing system, and directly generates vector light spots (including but not limited to points, line segments, circles, ellipses, curves) corresponding to the basic shapes on a focusing plane of the objective. The basic structures are directly engraved on a material in a full-automatic manner, planar processing of a complex structure is realized, three-dimensional processing of the complex structure is realized by combining with layer-by-layer processing technology, processing uncertainty is significantly reduced, and processing efficiency, precision, consistency and smoothness are greatly improved.

This application provides a storyboard script generation method. The method includes obtaining a reference image used to generate a storyboard script; obtaining an element of the reference image and element vector information of the element; obtaining a vector element matching the element; and generating the storyboard script by setting the vector element on a specified canvas based on the element vector information. According to the storyboard script generation method provided in this application, the element in the reference image is identified, and the matched vector element is correspondingly set on the specified canvas, to obtain the storyboard script in a form of a vector graph. Therefore, it is more efficient and easier to produce the storyboard script, and user experience is effectively improved.

The invention provides a city texture unit optimization and integration method based on set operation, electronic equipment and a storage medium aiming at the problems of massive texture unit combination modes, low manual screening efficiency, high subjectivity and the like in city updating. The method comprises the following steps: acquiring and numbering spatial data of N texture units of a target area, and constructing a basic database; calculating the number of all pairwise combinations, and screening combinations with intersecting boundaries through vector graphic analysis to form a set Z; selecting texture units from the Z, and combining the texture units according to rules to generate a new texture unit set ZB; based on indexes such as the area, the entrance position and the space quality, weighted quantitative scoring is carried out on the ZB; and outputting an optimal scheme according to the score sequence. According to the method, texture combinations are converted into mathematical set operation, so that massive combinations can be calculated, automatic processing and objective quantitative evaluation are realized, modern function requirements are met while urban historical textures are inherited, and the method is suitable for scenes such as historical block updating.

A method, apparatus, non-transitory computer readable medium, and system for image generation include obtaining a noise input and an input prompt comprising a pattern element. A coordinate frame of the noise input is shifted based on a diffusion step to obtain a shifted coordinate frame. A synthetic image is generated, using an image generation model, by denoising the noise input based on the input prompt and the shifted coordinate frame. The synthetic image comprises a repetition of the pattern element.