18 results about "Fitting methods" patented technology

The invention discloses a lightweight diffusion virtual fitting algorithm for a high-resolution clothing human body image. The algorithm specifically comprises the following steps: step 1, acquiring a disclosed high-resolution virtual fitting data set; 2, preprocessing the clothing image and the reference figure image in the high-resolution virtual fitting data set obtained in the step 1 to obtain a figure image irrelevant to clothing; 3, constructing a lightweight diffusion virtual fitting model aiming at the high-resolution clothing human body image, and designing a required loss function; and step 4, training the lightweight diffusion virtual fitting model for the high-resolution clothing human body image by using the high-resolution clothing human body data set in the step 1. According to the method, the problems of detail loss and visual artifacts in a high-resolution scene in a virtual fitting method based on the generative adversarial network are solved, and the defects that a traditional diffusion model is huge in volume, high in computing resource demand and difficult to retain local features are overcome.

This invention discloses a method for fitting the geometric center of a centrally symmetric image, comprising: S1, constructing a pixel coordinate system based on the original image and obtaining the pixel coordinates of the edges of the centrally symmetric image on the original image; S2, selecting the two edge pixels with the largest distance from all edge pixels, and taking the midpoint between the two edge pixels with the largest distance as a temporary center point; S3, constructing a virtual pixel matrix in the area surrounding the temporary center point, and selecting the virtual pixel with the smallest sum of distances to all edge pixels as a new temporary center point; S4, repeating step S3 until the fitting accuracy of the temporary center point meets the design requirements. This invention directly fits the geometric center of a graphic based on the geometric characteristics of a centrally symmetric image. The calculation process is simple and direct, and it is widely applicable to the geometric center fitting of all centrally symmetric images. At the same time, the multi-step fitting and multiple iteration methods fully ensure the fitting accuracy.

This invention provides a method and system for fitting device model parameters, relating to the field of semiconductor device modeling and parameter optimization technology. The method includes: acquiring initial information of a target device model, the initial information including parameters to be fitted; inputting the initial information into the target model to obtain fitting guidance parameters for the parameters to be fitted, the fitting guidance parameters being relevant parameters corresponding to each fitting stage, and the target model being a pre-trained large language model; after the fitting guidance parameters pass verification, fitting the parameters to be fitted at each fitting stage according to the fitting guidance parameters, obtaining the initial fitting result for each fitting stage; dynamically correcting the fitting guidance parameters according to the initial fitting result for each fitting stage to obtain corrected fitting guidance parameters; and fitting the parameters to be fitted at each fitting stage according to the corrected fitting guidance parameters to obtain the target fitting parameters for the parameters to be fitted.

The present invention relates to a fitting system to be used to connect floor modules, such as the fitting method and disengaging method. The system comprises two elements, a female element and a male element, connected to floor modules and interconnecting to each other. The female element comprises a body of the female, at least one ramp and at least one tongue, resting on the plate of the female. The male element comprises a body of the male and a fitting element comprising a plate of the male, sidewalls, a rim, at least one groove delimited by groove walls, and at least one slider. The system features double locking, which prevents the elements from making movements in any vertical or horizontal direction.

The invention discloses a hub bushing press-fitting tool and a press-fitting method. The hub bushing press-fitting tool comprises a base, a press-fitting table, a pressing plate and a plurality of press-fitting units. The press-fitting table is fixed to the upper portion of the base, the pressing plate is located above the press-fitting table and can be close to or away from the press-fitting table, and the press-fitting units are fixedly connected with the pressing plate. The press-fitting unit comprises press-fitting pins fixedly connected with the pressing plate and positioning pins movably connected with the press-fitting pins, the outer wall of each positioning pin is sleeved with a lining and a limiting sleeve, gaps exist between the inner walls of the linings and the outer walls of the positioning pins, the linings are located on the lower portions of the press-fitting pins, and the lower portions of the linings abut against the upper portions of the limiting sleeves. The inner wall of the limiting sleeve and the outer wall of the positioning pin are attracted and fixed; the pressing plate can drive the press-fitting unit to move downwards so that the lining can move downwards and be embedded into the press-fitting hole to be fixed. Through the multiple press-fitting units, the hub and the multiple bushes can be subjected to press-fitting forming at a time, the efficiency is high, the bushes are arranged on the positioning pins in a sleeving mode during press-fitting, the bushes and the press-fitting units descend synchronously, and the press-fitting effect is improved.

The invention discloses a garment fitting method and system based on a human body three-dimensional model, and belongs to the technical field of virtual fitting. The method comprises the following steps: receiving and analyzing abstract wearing intention description input by a user; generating a target multi-clothing combination scheme; constructing a clothing combination template library to form a core template set; generating a processing scheme suitable for the current combination; sequentially processing matching between each piece of clothes and the human body three-dimensional model; establishing a personal preference file; carrying out personalized fine adjustment on a processing scheme generated by template matching; carrying out scenario optimization on the processing scheme after personalized fine adjustment; and generating a multi-garment try-on effect based on the processing scheme after scenario optimization. According to the method, the clothing combination template library is constructed, the processing scheme is generated by adopting a three-level matching mechanism, clothing matching and collision detection are sequentially carried out according to the stacking sequence, and the problem of matching distortion caused by the fact that multiple clothing stacking sequences cannot be processed in the prior art is solved.

The invention provides a fashion adaptation method and device for a virtual character, equipment, a medium and a program product, and relates to the technical field of games, the method comprises the following steps: obtaining a constraint relationship between a main body skeleton and a fashion skeleton of the virtual character; and when the main body skeleton moves, driving the fashion skeleton to move correspondingly by the motion parameters of the main body skeleton based on the constraint relationship. Dynamic driving is achieved by establishing the constraint relation between the main body skeleton and the fashionable dress skeleton, the problem of motion distortion caused by a traditional skin mode is solved, and the fashionable dress action expression trueness is improved.

The invention discloses a fitting method for stress-strain response of a high-elongation steel cord and application of the fitting method. The fitting method comprises the steps that stress-strain data points are obtained; the number N of turning points is determined based on a local curvature mutation detection method, the fitting curve is divided into N + 1 fitting line segments, a starting point is an original point when the first fitting line segment is drawn, and the starting point is located in data points with curvature mutation when other fitting line segments are drawn; the optimal slope of each fitting line segment, which maximizes the value, can be calculated by performing derivation on a formula for determining the coefficient about the slope, and a ray is drawn according to the calculated optimal slope of each fitting line segment, so that the fitting line segment of the stress-strain response of the high-elongation steel cord is obtained. According to the method, the number of turning points is determined based on a curvature mutation detection mode by utilizing the switching characteristics of a multi-segment linear function and a max function, the optimal slope is calculated through a formula, local high-precision fitting of each segment and corresponding experimental data is ensured, and the overall goodness of fit is greatly improved.

The invention relates to a virtual try-on system and method based on deep reinforcement learning, and the system comprises a body type recognition and reconstruction module, a material simulation module, an adaptive optimizer, and a rendering output module. The material simulation module is used for carrying out micro-approximate simulation on virtual fitting garment fabric, the self-adaptive optimizer is used for automatically adjusting an optimization strategy according to different user characteristics, and the rendering output module is used for rendering and generating a fitting garment result. According to the design, the problem that the fitting matching degree is low due to the fact that the personalized adaptation capacity is poor and self-adaptive optimization cannot be carried out according to the body shape features and preferences of different users is effectively solved.

The invention relates to a dual-variable fitting method for a standard involute template contour, and belongs to the technical field of gear parameter measurement. According to the method, the characteristic that the contour of a standard involute sample plate is similar to the shape of a parabola is utilized, a waveform segment is divided into an optimized segment alpha and an optimized segment beta in a rectangular coordinate system xoy, waveform fitting is carried out on the segment alpha in a parabola x = g (y) mode, and a fitting residual error effective value rho alpha and fitting parameters are obtained; performing waveform fitting on the beta section in a parabola y = f (x) mode to obtain a fitting residual error effective value rho beta and a fitting parameter; and double-variable method fitting is completed. The method does not need to directly measure the radius of the base circle, does not need to measure the expansion angle of the expansion line of the involute, can be suitable for parameter measurement and evaluation of any involute in the interval section of theta belonging to [0, pi], and has universality.

The invention relates to the technical field of alignment and lamination, in particular to an alignment and lamination method and an alignment and lamination system. The alignment fitting method comprises the steps that after a fitting system fits a base body part and a fitting part every time, the alignment deviation of the base body part and the fitting part can be detected, and under the condition that the alignment deviation is large, pose compensation data generated when the base body part and the fitting part are fitted can be adjusted, so that the adjusting efficiency of the pose compensation data is improved, and the fitting precision is improved. And the laminating yield of the base body piece and the laminating piece is improved.

The invention discloses a key glass laminating tool, a laminating machine and a laminating method.The key glass laminating tool comprises a body, the upper surface of the body is provided with a plurality of containing concave parts, the upper surface of the body is used for containing key glass, the containing concave parts are used for embedding key protrusions, the body is provided with exhaust channels, the exhaust channels communicate with the containing concave parts, and the containing concave parts are used for containing the key glass. And the exhaust channel is used for exhausting air in the accommodating concave part to the outside. According to the key glass fitting tool disclosed by the invention, the key bulge of the key glass can be nested, so that the key bulge cannot be directly acted by pressure during fitting and pressing, more pressure is acted on a non-key bulge part of a key area, the probability that the key bulge is damaged due to stress is reduced, and the service life of the key glass is prolonged. And bubbles can be more effectively discharged from the non-key bulge part of the key area, so that the problem of bubbles in the key area and the edge is effectively solved, the appearance problem of a product after fitting and assembling is avoided, and the quality of the produced key touch panel product is better.

The embodiment of the application relates to the image processing technical field, discloses a kind of training fitting model method, virtual fitting method and related device, fitting network image generation network, clothes deformation network and fusion module, using several image groups corresponding model contour image, clothes image is trained to fitting network, and fitting model is obtained.Therein, the model contour image obtained by combining body posture text information and body torso map can reflect the model body shape contour and body posture features, so that the model contour image is input into the clothes deformation network to guide the clothes deformation, so that the clothes deformation conforms to the human body contour features and body posture features.Several image groups are trained to the fitting network in the above manner, and the loss and back propagation is based on, and the fitting network is constrained to converge.Therefore, the fitting model obtained by training can make the clothes more fit the human body contour, conform to the human body posture, and the fitting effect is more real and accurate.

The invention provides a virtual fitting method, a related device and a communication system. The mobile terminal can respond to clothes selection and fitting actions of a user to perform virtual fitting operation, and 3D image data, 3D digital clothes data and action data of the user are sent to the server. The server can solve the clothes deformation information after the human body collides with the clothes under the corresponding fitting action through the physical simulation technology, and the simulation data of the clothes are obtained. The mobile terminal can render the fitting effect that the 3D image of the user wears the clothes to perform the fitting action according to the simulation data sent by the server. The fitting effect can vividly present clothing information such as the style and the cloth of the clothing, and deformation information of details such as wrinkles generated by collision of the 3D image and the digital clothing. Therefore, the user can be helped to know the upper body effect of the clothing before ordering and purchasing on the online clothing market, the situation that improper clothing is bought on line is reduced, and the return rate of clothing e-commerce is reduced.

The invention relates to a virtual fitting method based on large model semantic recognition and double-model cascading, and the method comprises the steps: carrying out the semantic understanding of an input model drawing and a clothes drawing through introducing a large model, automatically recognizing the current clothes type and the target clothes type of a model, and dynamically selecting an optimal clothes changing strategy based on a recognition result. Cooperative work of the IDM-VTON model and the CAT-VTON model is realized, a set of semantic recognition-policy routing-cascade execution-post-processing enhancement full-process optimization method is realized, and complementary advantages of the two types of models are fully exerted; meanwhile, an intelligent strategy routing system based on large model semantic understanding is constructed, automatic decision making and dynamic scheduling of the reloading process are achieved, and the adaptability and robustness of the system are remarkably improved; in addition, a traditional computer vision module is introduced to carry out post-processing enhancement on a generation result, so that on the premise that a trunk generation model is not changed, posture offset and face and hand distortion are effectively inhibited, and the sense of reality and consistency of output images are guaranteed.

This invention provides a fitting and removal jig for pin fittings and box fittings, a method for inserting and fitting mechanical fittings, and a method for removing mechanical fittings, enabling fitting and removal of pin fittings and box fittings without requiring special processing of the C-ring member. [Solution] The fitting and removal jig 1 according to the present invention is a fitting and removal jig 1 used when inserting and / or removing a mechanical fitting comprising a tubular pin fitting 53, a box fitting 55, and a C-shaped ring member 57, and comprises a first member 3 and a second member 5 that are movable toward and toward each other, a guide member 7 that guides the first member 3 and the second member 5 to move toward and toward each other, and a movable member 9 that moves the first member 3 and the second member 5 toward and toward each other, wherein the first member 3 and the second member 5 comprise a main body portion 11A, 11B, a pressing and fixing portion 13A, 13B, and a ring diameter expanding portion 15A, 15B.

The embodiment of the invention discloses a virtual fitting method and system based on discontinuous mechanical simulation, and the method comprises the steps: obtaining an initial human body geometric model corresponding to a user and an initial clothing geometric model of target clothing in response to a virtual fitting request of the user for the target clothing, the initial human body geometric model and the initial clothing geometric model are subjected to unit definition and physical and mechanical parameter assignment; based on the initial human body geometric model, the initial clothing geometric model and a preset contact rule, performing dressing process simulation, and outputting a target clothing geometric model with a reasonable relative position to the initial human body geometric model; based on an initial human body geometric model and a target clothing geometric model, pre-defined unit physical and mechanical parameters and the contact rule are called, dressing effect simulation is carried out, and dressing data are generated; rendering the dressing data to obtain rendered data; and displaying a dynamic fitting effect animation in the fitting process based on the rendered data.

Embodiments of the present application provide a virtual fitting method, a model training method, an electronic device and a storage medium, obtain an image of clothes to be fitted, description information of the clothes to be fitted and a first image; a first character wears first clothes in the first image; separate the first clothes in the first image to obtain a binary mask image of the first clothes and a second image in which the first clothes are blocked; input the first image into a character posture analysis model to obtain posture feature information of the first character; input the image of the clothes to be fitted into a clothes analysis model to obtain clothes feature information of the clothes to be fitted; input the description information into a text analysis model to obtain semantic feature information; input the posture feature information as a conditional input side of a pre-trained diffusion model, input the second image, the binary mask image, the clothes feature information and the semantic feature information as a main input side, and obtain a target image in which the first character wears the clothes to be fitted, thereby improving the virtual fitting effect.