118results about "Filling planer surface with attributes" patented technology

The application discloses a framework structure damper arrangement method based on an incremental distribution and a condition generation model. The method is as follows: obtaining a structure analysis model, damper performance parameters, a seismic record, building design drawings and structure design drawings; based on the maximum seismic reduction benefit principle, determining the number of dampers on each floor by incremental distribution until the seismic reduction target is met; extracting, judging and converting key elements in the building design drawings, and filling and processing the key elements with different colors to obtain a building semantic image to be input; inputting the number of dampers on each floor and the building semantic image to be input into a pre-trained damper condition generation model to generate a damper arrangement semantic image; and automatically drawing the damper arrangement to the structure design drawings according to the generated damper arrangement semantic image. The application significantly improves the design efficiency of the framework structure damper arrangement.

This invention discloses an image generation method, apparatus, and electronic device. The method involves acquiring a first three-channel color RGB image and a first depth map; obtaining a first mask corresponding to the first RGB image through semantic segmentation; sampling the first depth map in a target region based on the first mask to obtain a first sparse depth map; and inputting the first RGB image and the first sparse depth map into a depth filling model to obtain a first dense depth map corresponding to a first object. The technical solution of this invention replaces depth denoising with depth completion, avoiding quality problems such as depth loss and abrupt changes caused by camera physical performance limitations in depth denoising techniques, thereby improving the quality and accuracy of the completed depth map.

This application provides a method, apparatus, device, vehicle, and medium for determining the rendering boundary of a zebra crossing. This application can acquire curb information and lane line information output by an upstream sensing module; determine the relative positional relationship between the curb and lane lines based on the curb information and lane line information; acquire a reference lane line for determining the zebra crossing rendering boundary based on the relative positional relationship; and determine the zebra crossing rendering boundary based on the reference lane line, wherein the rendering boundary is used to define the length of the zebra crossing rendering area. This application can improve the accuracy of determining the zebra crossing rendering boundary, making the zebra crossing rendering area close to the lane line boundary, neither exceeding nor falling short of the lane line, thus improving the accuracy and aesthetics of the zebra crossing display.

The photovoltaic region segmentation method, apparatus, storage medium, and computer equipment provided in this application include: determining a preset region segmentation model; inputting satellite images into the first feature extraction layer of the region segmentation model for preliminary feature extraction; inputting the feature map output from the first feature extraction layer into the second feature extraction layer of the region segmentation model for deep feature extraction by a multi-scale feature extraction module and a dual attention module to obtain a region feature map; and finally inputting the region feature map into the point rendering layer of the region segmentation model to obtain a photovoltaic region segmentation image. Multi-layer feature extraction can obtain richer data representations of the photovoltaic region, thereby improving the generalization ability of the photovoltaic region segmentation model. Furthermore, combining the multi-scale feature extraction module and the dual attention module for further feature extraction can adaptively fuse local features and global contextual information, improving the accuracy of photovoltaic region segmentation.

When performing tile-based rendering a first, pre-pass operation in which primitives in a sequence of primitives for a tile are processed to determine visibility information for the sequence of primitives, the visibility information being usable to determine whether or not fragments for a primitive in the sequence of primitives should subsequently be processed further for the render output, is performed. Thereafter a second, main pass operation is performed in which the further processing of fragments for primitives that were processed during the first, pre-pass operation is controlled based on the determined visibility information for the sequence of primitives, such that for fragments for which the visibility information indicates that the fragments should not be processed further for the render output some or all of the processing during the second, main pass is omitted. The visibility information comprises the depth buffer.

Arrangement, computer program product and method of rendering, from a vertex buffer object (VBO) and one or more material atlases, a two dimensional (2D) image in a frame buffer, wherein the VBO and the one or more material atlases are associated with a three dimensional (3D) scene defined by primitives including a plurality of 3D objects associated with respective vertices, wherein all 3D objects of the plurality of 3D objects are combined in multiple geometry buffers such that each 3D object does not require its own VBO, wherein each geometry buffer is a VBO, and wherein each VBO comprises a plurality of vertices.

Embodiments of the present application provide a map data production link quality detection and map rendering method and device. In the embodiments of the present application, for a map data production link comprising a plurality of service nodes, map data generated by the map data production link processing road source data is obtained; and feature extraction is performed on the map data to determine data features of the map data and road event features reflected by the map data; then, according to the data features and the road event features, service quality detection is performed on the map data production link, full-link quality monitoring of the map data production link is achieved, and the defect that single-service-node data monitoring cannot find full-link quality problems can be made up.

This invention provides a scene knowledge-driven map data visualization system, belonging to the field of map visualization technology. It includes: a scene parsing module, used to parse user scene commands into a structured scene parameter set, and then match it with a scene knowledge base to obtain the corresponding scene template and its corresponding strategy information; a map spatial axis module, used to determine the target spatial benchmark based on the structured scene parameter set; a data association and filtering module, used to filter the current scene-related data set based on the structured scene parameter set, strategy information, and target spatial benchmark; and a lightweight rendering module, used to generate a rendering plan based on the scene template, and then perform lightweight rendering on the current scene-related data set according to the selective rendering rules contained in the rendering plan to obtain the map visualization result. The beneficial effect is that by using a scene-based and focused map visualization method, data redundancy is eliminated, providing accurate and efficient data support for various government decision-making processes.

The present application relates to the technical field of environmental monitoring, and proposes a pollution source energy distribution evaluation method and system based on spatial gridding modeling, which comprises the following steps: uniformly gridding and dividing a target area according to spatial boundary information to obtain a spatial grid set; extracting pollution source monitoring data of the spatial grid set and decoupling the features of the pollution source monitoring data to obtain an energy feature vector of the spatial grid set; mapping the energy feature vector and the spatial grid set to construct an initial energy distribution field; performing interpolation residual analysis on the monitoring points in the initial energy distribution field to obtain a local deviation coefficient; performing variational assimilation correction and field superposition on the initial energy distribution field to obtain a corrected energy distribution field; performing contour line tracking and grade assignment rendering on the corrected energy distribution field to obtain a pollution source energy distribution evaluation map of the target area; and the present application can improve the efficiency of the pollution source energy distribution evaluation based on spatial gridding modeling.

Embodiments of the present disclosure disclose image generation methods, devices, electronic equipment and computer readable media. A specific implementation of the method comprises: classifying pixels of a to-be-processed image to determine at least one pixel type; determining at least one type region through the at least one pixel type; for a type region in the at least one type region, adjusting the color of the type region to a target color to obtain a target color region corresponding to the type region; and combining at least one target color region corresponding to the at least one type region into a target image. This implementation improves the smoothness of the color of the target image, and is also conducive to reducing noise.

The application relates to a numbering method and device of an image, a computer device and a medium, which comprises the following steps: dividing each pixel in a target image into a plurality of pixel sets according to pixel values and positions; determining a first boundary pixel coordinate of each pixel set in a horizontal coordinate direction and a second boundary pixel coordinate in a vertical coordinate direction; dividing an image region corresponding to each pixel set into a plurality of sub-regions based on the first boundary pixel coordinate, the second boundary pixel coordinate and a density value of each pixel set, and determining a center pixel of each sub-region; determining the coordinate and numbering size of a to-be-added number in a to-be-numbered image according to a judgment result of whether the center pixel is a pixel in a target pixel set and a judgment result of whether a pixel in a first neighborhood of the center pixel is a pixel in the target pixel set, and adding the number, wherein the target pixel set is a pixel set to which a sub-region where the center pixel is located belongs, and the to-be-numbered image is composed of boundary pixel coordinates in each pixel set. The method can improve the practicability of numbering.

The present invention provides a method for generating a chip test pattern, comprising: obtaining test data associated with a first chip, wherein the first chip includes a plurality of first dies arranged in sequence, each first die belonging to one of a plurality of test numbers; assigning different preset color codes to the plurality of test numbers respectively; and assigning the color code of each first die to a corresponding preset color code according to the test number to which each first die belongs, so as to generate a general chip test pattern of the first chip.

The invention discloses an image processing method and device, a storage medium and electronic equipment. The method comprises the steps of obtaining an original image, a text instruction and a target color corresponding to the text instruction; inputting the original image, the target color and the text instruction into an image editing pre-training model to obtain a target image corresponding to the original image; the target image is an image obtained by adjusting the color of a target area in the original image to the target color; wherein the image editing pre-training model is an image coloring model obtained by training based on a preset loss function through a diffusion model constructed by an image encoder, a text encoder, an iterative de-noising device and an image decoder. According to the invention, the image accurately matched with the color intention specified by the user can be generated.

The disclosure provides an image repairing method and system combining edge information and appearance flow operation, the method comprising: preprocessing an obtained image to be repaired to obtain a smooth image; performing edge detection and prediction to obtain a target edge map; performing smooth structure reconstruction according to the smooth image and the target edge map to obtain reconstructed smooth structure; extracting the correlation between each region of the image to be repaired according to the reconstructed smooth structure, sampling features from the relevant regions based on the appearance flow operation to generate lively texture, and filling the features containing lively texture information to the damaged region of the image to be repaired to obtain a repaired complete image. The disclosure realizes the repair of the damaged image through the repair process from the edge to the smooth structure and then to the whole, combines the edge information and the appearance flow operation to perform three-stage image repair, can generate reasonable structure and real lively texture, and thus achieves good repair effect.

One embodiment provides a graphics processor comprising processing resources configured to perform a supersampling anti-aliasing operation via a mixed precision convolutional neural network. The processing resources include circuitry configured to receive, at an input block of a neural network model, a data including previous frame data, current frame data, jitter offset data, and velocity data, pre-process the data to generate pre-processed data, provide pre-processed data to a feature extraction network of the neural network model and an output block of the neural network model, process the first pre-processed data at the feature extraction network via one or more encoder stages and one or more decoder stages, output tensor data from the feature extraction network to the output block, and generate an anti-aliased output frame via the output block based on the current frame data and the tensor data output from the feature extraction network.

Apparatuses, systems, and techniques are presented to synthesize consistent images or video. In at least one embodiment, one or more neural networks are used to generate one or more second images based, at least in part, on one or more point cloud representations of one or more first images.

This invention discloses a method for conformal filling and smoothing of lattice structures based on isosurface extraction, belonging to the field of lightweight functional structures. The method includes: firstly, establishing an implicit representation model of the lattice cells; then, directly obtaining the coordinates and topological relationships of the triangular facet nodes on the surface by extracting isosurfaces, thus eliminating the need for traditional meshing of the implicit cells. Isoparametric transformation is used to map the cell surface nodes to the target structure mesh, achieving accurate conformal filling. Subsequently, self-intersecting facets between adjacent cells are detected and eliminated to avoid model defects, and the structure is smoothed using Laplacian smoothing. This invention solves the technical problem that implicitly represented lattice cells are difficult to directly use for conformal filling, can universally handle various implicit cells, effectively avoids mesh distortion and STL file self-intersection problems, and finally generates a smooth, high-quality model that can be directly used for additive manufacturing.

The present disclosure relates to a sandstone thickness mapping method, system, electronic device and storage medium. The mapping method comprises: obtaining logging data of each well point in a preset area, and determining sandstone and mudstone lithological characteristic data according to the logging data; determining sandstone curve shape and sandstone thickness of each well point according to the sandstone and mudstone lithological characteristic data, and mapping a sedimentary facies pattern of the preset area through the sandstone curve shape and the sandstone thickness; converting the sedimentary facies pattern to a constraint plane for determining the trend change of a sedimentary facies belt in a three-dimensional geological framework model plane range; generating plane sandstone thickness data through the constraint plane based on a geostatistical stochastic simulation algorithm, and mapping a sandstone thickness map of the preset area according to the plane sandstone thickness data. The sandstone thickness is generated by combining the geological statistical principle and the sedimentary facies pattern, and the sandstone thickness map is mapped according to the sandstone thickness, so that high-precision prediction and visual expression of the sandstone thickness are realized.

The application discloses a data visualization method, device and product, relates to the technical field of image display, and aims to realize the capability of autonomously completing dynamic display of a data topology graph based on different display intentions. The method comprises the following steps: determining a display task based on an input target display intention; acquiring data information corresponding to the display task from a first database and determining a data analysis result; acquiring a matched first atomic component from a second database based on the data analysis result; the first database stores application information of product use of all users; the second database stores at least one atomic component; after determining that a second atomic component needs to be generated, constructing a first prompt word based on the data analysis result; generating the second atomic component based on the first prompt word; and determining and outputting a corresponding topology graph based on the first atomic component, the second atomic component and the data processing analysis result.

This invention discloses a layer-based method and system for filling multiple independent vector elements, relating to the fields of laser processing and graphics processing technology. The method includes: constructing a fill layer containing multiple independent, editable vector line elements; loading this layer as a temporary composite path and converting it into path command form during processing calculations; setting predetermined fill rules; constructing scan lines and gradually translating them to obtain multiple sets of intersection points between the scan lines and the composite path; sorting the intersection points at each scan line position according to the scan line direction; determining the filled line segments and empty travel segments on the scan line based on the intersection point index position; processing special intersection points, correcting the intersection point counting results, generating fill processing path data for laser processing, and releasing resources related to the composite path and scan lines. This invention enables independent editing of vector elements and unified overall filling, improving editing flexibility and filling accuracy, reducing operational complexity, and adapting to the processing needs of laser engraving and cutting equipment.

An electronic device and method for foveated storage and processing are provided. The electronic device includes a memory, and a processor coupled to the memory. The processor performs head tracking and eye tracking; generates a foveated image from an original image based on the head tracking and the eye tracking; and stores the foveated image using one of: a tile-based method or a frame-based method.

Method for rendering a geometry object in a computer-generated scene, wherein the method comprises: Dividing a screen space assigned to a display screen into multiple regions; for each region: Calculating a first sampling factor in a horizontal dimension, which represents a horizontal sampling factor for pixels localized in the region, Calculating a second sampling factor in a vertical dimension, representing a vertical sampling factor for pixels localized in the region, Calculating a first offset in the horizontal dimension, which represents a horizontal position assigned to the region, and Calculating a second offset in the vertical dimension, representing a vertical position assigned to the region; Determine that the geometry object intersects more than one region; Creating a first instance of the geometry object for a first region that intersects the geometry object; and Creating a second instance of the geometry object for a second region that intersects the geometry object, wherein the first region and the second region are arranged in the screen space adjacent to each other in at least one of the horizontal and vertical directions, wherein the first sampling factor of the first region differs from the first sampling factor of the second region, and the second sampling factor of the first region differs from the second sampling factor of the second region.

The application discloses a spectrum image recognition closed loop system and method. It includes: obtaining spectrum sequence data and view range, generating a segmentation list; rendering a spectrum image for each segment and recording the drawing area boundary; performing target detection inference to obtain a pixel boundary box; based on the drawing area boundary and the segmented frequency, the pixel box is inverted to a frequency interval and aligned to a frequency point grid; performing deduplication, overlap elimination and threshold filtering on the candidate set to output stable candidates; based on the stable candidates, statistical features are calculated on the original sequence and signal parameters are output; the recognition process and results are structured and written to disk; the product is converted into a training data set to generate annotations; the model weight is trained and registered and managed, and the inference service is accessed through the scene binding mechanism to form a closed loop iteration. The application has the beneficial effects of significantly improving the automation level, result reliability and system evolution capability of spectrum monitoring and analysis.

The application discloses a method and system for reconstructing a physical field of a sea surface without artifacts, and a computer device. The method comprises: obtaining satellite remote sensing sea surface temperature data of a target sea area and a time period to obtain to-be-processed data; performing quality control and preprocessing on the to-be-processed data to obtain an input tensor; inputting the input tensor into a reconstruction model to perform a window operation uniformization strategy to generate a sea surface temperature field without block-shaped artifacts, comprising: generating a displacement pair set, performing multi-displacement forward propagation and boundary processing, inverse displacement and cropping on the input tensor, and aggregating and uniformizing the results to generate the sea surface temperature field without block-shaped artifacts. The method of the application can reduce the block-shaped artifacts caused by the Swin Transformer architecture while retaining details, not only solving the artifact problem, but also further improving the overall reconstruction performance, retaining the ocean structure, and overcoming the defects that the post-processing smoothing technology can blur the image and lose spatial structure information.

Collision warning system (12) for a vehicle, comprising: a vision system (20) attached to the vehicle, wherein the vision system (20) provides a video of an upcoming road segment which includes at least one object (14) located on the path; a control module (22) coupled to the vision system (20), wherein the control module (22) receives the video from the vision system (20) and provides an enhanced video of the upcoming road segment that includes the object (14) on the path, the object (14) on the path being highlighted according to collision data so that it stands out from the rest of the upcoming road segment; and a visual display (24) coupled to the control module (22), wherein the visual display (24) receives the enhanced video from the control module (22) and displays the enhanced video to a driver; wherein the control module (22) provides an enhanced video of the upcoming road segment, which includes the object (14) on the path, highlighted with a color selected according to the collision data, so that it stands out from the rest of the upcoming road segment, which is provided in black and white, the highlighted object (14) on the path being overlaid on a black and white version of the video originally received from the vision system (20).

A method and system provide the ability to track object progress in a drawing sheet. An object type is created and activity types are assigned to the object type (504). The activity types represent a progression of an object of the object type. A portable document format (PDF) drawing sheet that has multiple symbol instances is obtained (506). A graphic region containing a symbol instance is selected (508) in the drawing sheet. A markup is created on the drawing sheet based on the selected graphic region (518). Multiple symbol instances are autonomously detected based on the selected graphic region (512). Progress tracking markup instances of the markup are autonomously created for the detected symbol instances and are linked to the object type (512). The progress of the object instances is visually tracked using graphical user interface (GUI) visualizations that provide a visual representation of the progression via the markups (516).

The application discloses a chip layout format conversion method and device, a terminal equipment and a storage medium. The method is: obtaining a chip layout configuration file and a chip layout picture to be converted, wherein the chip layout configuration file at least includes a plurality of color gamut range information and chip level information; determining a color mask layer set based on the color gamut range information and the chip layout picture to be converted; sequentially mapping the chip layout pixel points in the chip layout picture to be converted based on the color mask layer set to obtain mapped layout pixel points, and constructing and generating an intermediate GDS chip layout file according to the mapped layout pixel points; determining a target level number and the flag information of each layer based on the chip level information, and copying and marking the intermediate GDS chip layout file according to a batch processing model, the target level number and the flag information to obtain a target GDS chip layout file. Therefore, the conversion efficiency of the chip layout format conversion is improved on the basis of ensuring the accuracy of the chip layout format conversion.

This application provides a color filling method and an electronic device. A first interface is displayed, where the first interface includes a first region and a second region, a color of the first region is a first color, a color of the second region is a second color, a junction of the first region and the second region includes M colors, and the M colors are different from the first color and the second color. In response to an operation of the user filling the second region with the third color, P colors are determined based on the second color, a third color, and one or more of the M colors. The second color is replaced with the third color, and one or more of the M colors are replaced with the P colors. Because a new color at the junction is determined based on a color to be used for filling, a seed point color, and a color at the junction, smoother color transition can be achieved while ensuring a filling effect, thereby mitigating aliasing and improving user experience in drawing.

Systems, methods, and non-transitory computer-readable media are disclosed that include a process for correcting distortions in images introduced by eyewear (i.e., where the region of the face around the eyes has boundaries that do not match the boundaries of the uncovered region of the face). The correction includes segmenting the image to detect a region of the face covered by the eyewear and a region of the face not covered by the eyewear, and altering the covered region of the face to match the covered face boundaries to the uncovered face boundaries. The altering includes processing using a machine learning model, applying an anti-aliasing algorithm, scaling the covered region of the face to match the boundaries of the uncovered region of the face, or a combination thereof.

The application discloses a kind of mobile terminal AI drawing intelligent selection area method, comprising: obtaining image to be processed, the semantic segmentation is carried out to the image to be processed, obtains several color block regions;Establish the spatial subordination of each color block region and construct binary tree index based on the spatial subordination;After user moves or zooms the image to be processed, according to the binary tree index, the effective area displayed in screen is rendered;If user carries out selection area operation, then judge whether the point selection area of user overlaps with multiple color block regions, if yes, then according to the color block region overlapping with the point selection area, secondary selection request is sent to user, so as to realize selection area.The method overcomes the problem that the mobile terminal drawing is frequently rendered operation leads to the lag and point selection operation is not accurate on small screen, achieves the effect of optimizing drawing interaction experience, accurate positioning local operation.