13results about How to "Guaranteed visual effect" patented technology

The application provides a video adaptive transmission and reconstruction method and device based on end-cloud cooperation. The application provides a low-bandwidth key frame priority transmission and intermediate frame reconstruction method and device of camera end and server cooperation, realizes a cooperative mechanism of end-side semantic key frame intelligent labeling and cloud-side high-quality intermediate frame reconstruction, adaptively switches a transmission mode according to a real-time network state, and effectively guarantees video event integrity and visual coherence in a low-bandwidth environment.

This application provides a method for adding watermarks to an image. Belonging to the field of information security, this method involves dividing an image into blocks to obtain a target number of non-overlapping blocks. The texture complexity is determined based on the number of pixels at the block boundaries and the size of the blocks. The watermark embedding amount is determined based on the texture complexity of each block, the average watermark embedding capacity, and the initial texture complexity. The average watermark embedding capacity is determined based on the total watermark information capacity and the target number. Singular value decomposition is performed on each block to obtain the maximum singular value. The singular value after watermark embedding is determined based on the maximum singular value of each block and the watermark information corresponding to the watermark embedding amount. Inverse singular value decomposition is performed on the singular values ​​after watermark embedding in each block, and each block after watermark embedding is reconstructed to obtain a watermarked image. This method can improve the amount of watermark information and the quality of the watermarked image.

The application discloses a kind of zero visual seam's liquid crystal display unit, it is related to display technical field.The display unit includes backlight module, liquid crystal panel assembly and optical compensation composite cover plate.Wherein, the edge of backlight module is equipped with the chamfer support surface that is inwards shrinkage, the non-display area of liquid crystal panel assembly is bent or adhered along the chamfer support surface, so that the physical height of non-display area is lower than the plane where effective display area is located.Optical compensation composite cover plate is adhered to the surface of liquid crystal panel assembly and extends to cover above non-display area, and the cover plate sequentially includes light remodeling layer, waveguide light uniform layer and wide-angle scattering layer from bottom to top.The application is cooperated by mechanical structure and micro-nano optics, realizes the visual screening of physical seam under the premise of not increasing electronic control complexity, solves the problems of large assembly thickness, black seam ghost and edge image distortion in traditional seam elimination scheme.

The utility model discloses a liquid cooling row and CPU liquid cooling heat abstractor, the liquid cooling row includes liquid inlet cavity, exchange cavity, liquid outlet cavity, a plurality of radiators, liquid inlet connector and liquid outlet connector, and the liquid inlet connector and liquid outlet connector are all corner connectors of 90 degree corner, and the CPU liquid cooling heat abstractor including this liquid cooling row still includes fan, liquid inlet pipe, liquid outlet pipe and liquid cooling head, and it sets up parallelly liquid outlet connector and fan, and the CPU liquid cooling heat abstractor sets up the side of liquid inlet pipe and liquid outlet pipe parallel to the liquid cooling row, under the condition of high -efficient utilization limited space, makes the case inside appearance sense remarkable promotion to reduce the bending of liquid inlet pipe and liquid outlet pipe, reduces the risk of liquid leakage, and can guarantee the heat dissipation effect.

One or more embodiments of the present specification provide an image generation method, a storage medium and a program product, the method comprising: inputting a local image and a text into an image generation model, the image generation model being obtained by training a constructed neural network model by using a training sample set, each training sample in the training sample set comprises a global reference image, a local reference image and a reference text, the local reference image is an intercepted part in the global reference image, and the content of the reference text is associated with the global reference image; and generating an extended image corresponding to the local image and the text based on the image generation model, wherein the size of the extended image is greater than that of the local image. Through the specific training mechanism for the image generation model, the image content is effectively enriched while the integral structural integrity and visual coherence of the image are ensured.

The application discloses a kind of folding screen automation processing OCA membrane laminating device, it is related to flexible screen processing field, including equipment rack, equipment rack is respectively equipped with material box feeding device, laminating device, visual alignment mechanism, film tearing mechanism, Plasma cleaning mechanism, material box feeding device is separately arranged in equipment rack front and back two sides, six-axis manipulator is equipped below laminating device, laminating device is driven transversely by X direction linear motor, visual alignment mechanism is respectively arranged below laminating device and above PET film attachment platform, visual alignment mechanism is divided into OCA visual alignment component and PET visual alignment component, film tearing mechanism includes OCA film tearing component and PET film tearing component, OCA film tearing component is installed on six-axis manipulator, PET film tearing component is installed on equipment rack and located above PET film attachment platform, the present application can overcome the industry pain points such as ultra-thin OCA film production, bubble, indentation, improve folding screen OCA membrane laminating production yield and product consistency.

This utility model relates to the field of vehicle manufacturing technology, and more particularly to a door assembly and a vehicle. The door assembly includes: an outer door panel, an inner door panel, an upper reinforcing plate on the outer panel, and a lower reinforcing plate on the outer panel. The upper reinforcing plate on the outer panel is connected to the outer door panel, and the lower reinforcing plate on the outer panel is connected to the inner door panel. The inner door panel is fastened to the outer door panel, and the upper reinforcing plate on the outer panel is connected to the lower reinforcing plate on the outer panel. According to this utility model, the inner door panel and the lower reinforcing plate on the outer panel are connected to form a module, and the outer door panel and the upper reinforcing plate on the outer panel are connected to form a module. This allows for assembly of the door assembly simply by fastening the inner and outer door panels together, reducing the assembly difficulty, improving the overall structural strength and rigidity of the door assembly, and enhancing the assembly efficiency and quality.

The invention discloses a fine-grained multi-modal knowledge enhanced image generation method and device, and the method comprises the steps: obtaining the text features of an optimized and expanded cue word through a pre-trained text encoder, obtaining the visual features of a corresponding subject image through an image encoder, and carrying out the recognition of the subject image according to the obtained text features and visual features. Splicing is carried out in the feature dimension direction; using a trainable MLP to carry out dimension reduction on the splicing features, converting the features after dimension reduction into embedding conditions, and inputting a reference image into a reference branch to optimize attention parameters; performing multi-dimensional quality evaluation on the generated image, comprehensively generating relevancy between the image and a text cue word and semantic consistency between the image and a domain knowledge graph to output a final quality evaluation score, comparing the final quality evaluation score with a preset threshold value, and judging whether to trigger an introspection agent mechanism by referring to the current feedback frequency; and sending the image hidden space representation obtained from the output of the trunk DiT branch into an image decoder, and restoring to obtain a final generated image. The device comprises a processor and a memory.

This invention discloses a single-lock curtain wall with a non-intrusive clamp hoisting component and its construction method, belonging to the field of building curtain wall technology. It solves the technical problems of traditional post-installed embedded components damaging the main structure, difficult rebar installation, low installation accuracy, and poor adaptability. The single-lock curtain wall includes a post-installed clamp assembly, a beam structure, a reinforced load-bearing component, a hoisting cable assembly, and a curtain wall assembly. The post-installed clamp assembly consists of a load-bearing plate, a tie plate, a reinforcing plate, and a hoisting plate. It forms a ring-shaped non-intrusive structure by bonding and welding with architectural AB adhesive. Combined with the differentiated reinforcement structure of the beam structure, it achieves uniform load transfer. The construction method includes on-site material customization, non-intrusive installation of the clamp assembly, precise curtain wall suspension, and intelligent monitoring with a total station. The monitoring system captures millimeter-level displacement through a prism, forming a closed-loop control of measurement-feedback-adjustment.

The invention discloses a solar shading method, system and device for an intelligent self-adaptive unmanned aerial vehicle remote controller and a medium, and belongs to the technical field of power system maintenance auxiliary equipment.The method comprises the steps that geographical position information and incident illumination intensity of the remote controller in different directions are collected; calculating a geographic elevation angle and a measured elevation angle, and calculating a corrected elevation angle according to the geographic elevation angle and the measured elevation angle; constructing a comprehensive target optimization function, and solving to obtain an optimal control parameter; controlling the angle and transparency of the shading plate according to the target control parameters; according to the method, the orientation of the sun relative to the remote controller is obtained in real time according to the attitude and the illumination sensor, altitude angle fusion correction is carried out, a dynamic weighted optimization model with the shading effect and the charging efficiency as targets is constructed, and the optimal shading plate rotation angle and the electrochromic film transparency are solved; and high-precision cooperative control is realized through a servo motor and voltage driving, so that glare is inhibited under strong light, and the visibility of the screen is guaranteed.

According to the LOD construction method and device for the GIS large-range live-action model, the nodes are generated through adaptive iterative segmentation in the HLOD tree construction process, the triangular patch data amount of each node is kept within the threshold value range, and the nodes with the too large triangular patch number cannot be generated; meanwhile, the textures of all the nodes are limited to be kept in a similar range, too large textures cannot be generated, and the optimal configuration effect can be achieved in the rendering scheduling process of the result; meanwhile, after the triangular patches in all the nodes are simplified, the texture features in the texture pyramid are merged, and the method can effectively simplify the grids, maintain the features of the grids, reduce the deformation of the textures to the maximum extent, and ensure the visual effect of the grids. In addition, main memory occupation data is stored in a temporary file by using a memory mapping technology, so that the scheme can process large data volume data exceeding computer memory limitation.

The embodiment of the invention discloses a model deduplication method and device based on an unreal engine, equipment and a storage medium, and the method comprises the steps: obtaining a plurality of original vertex coordinates, world coordinates and rotation angles of each model, and generating a vertex set corresponding to each model based on a preset sorting rule and the plurality of original vertex coordinates; calculating a characteristic value corresponding to each vertex set, and grouping the plurality of models according to each characteristic value to obtain a plurality of repeated model groups; calculating a geometric center coordinate of each model according to a plurality of vertex coordinates in each vertex set, and calculating a position offset of a world coordinate and the geometric center coordinate of each model; and determining a reference model and a to-be-replaced model in each repeated model group based on each read grid file volume, and replacing the to-be-replaced model with the corresponding reference model based on the position offset and the rotation angle. The accuracy of repeated model screening and the accuracy of the to-be-replaced position and the to-be-replaced angle are improved, and storage resource redundancy consumption and engine loading pressure are reduced.

The invention discloses an intelligent self-adaptive electronic hyperopia device mirror surface angle adjusting system and method, and belongs to the field of mirror surface adjustment. The invention discloses an intelligent self-adaptive electronic hyperopia device mirror surface angle adjusting system and method. The method comprises the following steps: constructing a personalized perception data pool; generating an angle adjusting instruction; a pre-adjusting instruction is generated and corrected; calculating a current visual comfort score; judging whether the visual comfort score is lower than a preset threshold value or not; optimal angle adjusting parameters are screened out; performing angle adjustment; the system comprises a multi-source sensing module, a data processing module, a precise adjusting module and a visual feedback module. The problems that dynamic parameters such as wearing postures and object viewing distances are not considered in the prior art, and adaptation deviation is prone to occurring in complex scenes are solved. According to the method, the multi-user and multi-scene adaptation precision is improved, accurate synchronization of the mirror surface angle and the sight line is realized, asthenopia characteristics are captured by eye movement tracking, automatic early warning optimization is realized, and passive adaptation is changed into active pre-judgment.