Abstract: The present disclosure provides an interaction method for virtual scene, an electronic device and a storage medium. And the interaction method for virtual scene includes: determining a target sketch in the virtual scene, and the target sketch is obtained based on an operation inputted by a user; determining a target setting item of the virtual scene, and the target setting item is configured to set at least a portion of at least one of visual data or auditory data of the virtual scene; and updating a portion of the virtual scene corresponding to the target setting item according to an object category of an object in the target sketch.

Abstract: The present disclosure provides an image processing method and apparatus, a device and a medium. The method includes: obtaining a first video frame image and a second video frame image to be processed in a first video; determining a first region in the first video frame image, and obtaining sparse optical flow information of the first region, based on the first video frame image and the second video frame image; performing grid division processing, based on the first region in the first video frame image, to obtain a plurality of grid vertices corresponding to the first region, and determining positions of the plurality of grid vertices corresponding to the first region in the second video frame image, based on the sparse optical flow information of the first region and the plurality of grid vertices corresponding to the first region.

Abstract: Embodiments of the present disclosure disclose an image depth estimation method and apparatus, an electronic device, and a storage medium. The method includes: determining a target region in which the bidirectional disparity is consistent; determining an absolute depth value of a pixel in the target region based on a bidirectional disparity of the pixel in the target region; constructing a mapping relationship between a relative depth value and an absolute depth value based on the absolute depth value of the pixel in the target region and a relative depth value of the pixel in the binocular image; and determining, based on the mapping relationship and a relative depth value of a pixel to be determined in the binocular image, an absolute depth value of the pixel to be determined in the binocular image.

Abstract: The disclosure relates to the technical field of laundry apparatus manufacturing, and discloses a space textile cleaning equipment and a cleaning method, comprising a washing unit consisting of: a housing, in which a fixing plate for paving the fabric and a fixing clip for clamping and fixing the paved fabric are arranged; and a scraper corresponding to the fabric, which can move along the length direction or the width direction of the fixing plate, and is also provided with an atomizing nozzle for spraying detergent, with the outlet of the atomizing nozzle corresponds to the fabric.

Abstract: Embodiments of the present disclosure provide an image processing method and apparatus, an electronic device, and a readable storage medium. The method includes: acquiring a to-be-processed image, where the to-be-processed image includes a target object; acquiring, by adopting a feature model, normal feature information and target feature information of the target object, where the target feature information includes: depth feature information and/or tangent feature information; performing, based on the normal feature information and the target feature information, a lighting rendering on the target object in the to-be-processed image to obtain a lighting-rendered-image; and outputting the lighting-rendered-image. Compared with the prior art, in the present disclosure, a terminal device may perform the lighting rendering on the target object based on richer feature information of the target object, which can enrich a lighting rendering effect.

Abstract: An optimization method for a directional preparation technique and efficient use of semi-coke for blast furnace injection. Firstly, the volatile and the ash content of target semi-coke are preset, and then the volatile and the ash removal percentages of a raw coal are calculated; after ash removal, several sets of dry distillation carbonization temperatures and carbonization times are obtained according to the volatile removal percentage, and the relationships between a combustion rate, abrasiveness, explosiveness and jet flow property and the carbonization temperature are respectively established to obtain the optimal actual carbonization temperature; and semi-coke for blast furnace injection is obtained at an actual carbonization temperature.

Abstract: An optimization method for a directional preparation technique and efficient use of semi-coke for blast furnace injection. Firstly, the volatile and the ash content of target semi-coke are preset, and then the volatile and the ash removal percentages of a raw coal are calculated; after ash removal, several sets of dry distillation carbonization temperatures and carbonization times are obtained according to the volatile removal percentage, and the relationships between a combustion rate, abrasiveness, explosiveness and jet flow property and the carbonization temperature are respectively established to obtain the optimal actual carbonization temperature; and semi-coke for blast furnace injection is obtained at an actual carbonization temperature.

Abstract: Embodiments of the disclosure provide a target object identification method and apparatus, an electronic device and a storage medium. The method includes: in response to an object identification instruction, obtaining feature point data to be used, which corresponds to an object to be identified in a display interface; determining a target object model corresponding to the object identification instruction; wherein the target object model is reconstructed based on a preset acquired object image; if the feature point data to be used is matched with feature point data of the target object model, displaying, in the display interface, identification information corresponding to the target object model in association with the object to be identified.

Abstract: The present disclosure relates to a stereoscopic model processing method, apparatus, device and medium. The method includes: acquiring a first stereoscopic model; segmenting the first stereoscopic model based on a plurality of types of preset three-dimensional geometric units, obtaining a type of a three-dimensional geometric unit to which a point of the first stereoscopic model belongs, and obtaining each target component corresponding to the first stereoscopic model; determining a target three-dimensional geometric unit corresponding to the each target component according to point information of the each target component, wherein the point information of the each target component includes spatial coordinates of a point of the each target component and a type of a three-dimensional geometric unit to which the point of the each target component belongs; and determining a second stereoscopic model based on the target three-dimensional geometric unit corresponding to the each target component.

Abstract: Some embodiments of the present disclosure relate to an image processing method, device, and a medium, wherein the method includes: acquiring an original image to be processed, wherein the original image comprises at least one of a panoramic image, a semi-panoramic image, or a fisheye image; in response to a target processing request for the original image, determining a target detection box in the original image; performing distortion correction processing on a first image corresponding to the target detection box in the original image to obtain a second image; and determining pixels to be processed in the first image based on the second image, and performing target processing on the pixels to be processed to obtain a target image.

Abstract: Embodiments of the disclosure provide an image processing method and apparatus, an electronic device and a storage medium. The method includes: when it is detected that a main body to be processed on a display interface is a target main body, adding an augmented reality (AR) special effect model for the target main body; according to a current video frame and a previous historical video frame, determining a target display location of the AR special effect model in the current video frame; displaying the AR special effect model at the target display position to obtain a target special effect video frame corresponding to the current video frame.

Abstract: The present disclosure provides a data processing method and apparatus, an electronic device and a storage medium. The method includes: when an instruction for acquiring a three-dimensional model corresponding to a target object is received, starting an acquisition unit; in response to meeting a preset acquisition condition, generating a three-dimensional grid to be processed that encloses the target object and displaying the three-dimensional grid to be processed on a display interface of a device to which the acquisition unit belongs; and on the basis of a relative acquisition angle of the acquisition unit and said three-dimensional grid, adjusting target display information of a corresponding sub-grid in said three-dimensional grid.

Abstract: A subject material determination method, an apparatus, an electronic device, and a storage medium. The method includes: acquiring a first image to be processed and a second image to be processed which include a subject to be recognized and under a same visual angle, in which the first image to be processed is determined in response to a flash lamp being turned on; determining a highlight center point of the first image to be processed, and determining material information to be fused according to the highlight center point and the first image to be processed; determining color information according to the second image to be processed; and determining target material information of the subject to be recognized according to the material information to be fused and the color information.

Abstract: Embodiments of the present disclosure disclose a binocular image generation method and apparatus, an electronic device, and a storage medium. The method includes: obtaining an original image; determining, based on depth values of a plurality of pixels in a salient region of the original image, a target depth value corresponding to a zero-disparity plane in a binocular image to be generated; and generating the binocular image based on the target depth value and depth values of a plurality of pixels in the original image.

Abstract: An image processing method and apparatus, an electronic device, and a storage medium. The method includes: determining a target drawing viewpoint corresponding to a trigger operation on a target object when the trigger operation is detected; determining a target grid region to which the target drawing viewpoint belongs based on a pre-generated target sphere grid model, and determining a target interpolation image corresponding to the target drawing viewpoint according to at least one optical flow information set of the target grid region; and issuing the target interpolation image to a target client, so as to display, on the target client, the target interpolation image corresponding to the trigger operation.

Abstract: An image drawing method and an apparatus, and an electronic device and a storage medium. The method of drawing an image comprises: obtaining an image to be processed; wherein the image to be processed comprises a target coating of a material to be determined; determining target light source information and target editing parameter information corresponding to the image to be processed respectively; determining target material parameter information of the target coating according to the target light source information and a target normal map of the image to be processed; determining a target image based on the target material parameter information and the target editing parameter information.

Abstract: A chip system includes a BGA chip, a PCB, a signal source module, and a detection module. A function pin of the BGA chip is soldered to a function solder pad of the PCB by a first solder ball and a detection pin of the BGA chip is soldered to a detection solder pad of the PCB by a second solder ball. A designed life of the second solder ball is shorter than a designed life of the first solder ball. A detection path is formed between the BGA chip and the PCB and includes the second solder ball. The signal source module is configured to send a detection signal to the detection module through the detection path to determine a status of the detection path based on the received detection signal.

Abstract: The disclosure provides an image rendering method and apparatus, an electronic device, and a storage medium. The image rendering method includes: obtaining target camera association information and target light source association information; determining target voxel association information of each voxel in a target object based on the target camera association information, the target light source association information, and a pre-trained target object attribute determination model; and rendering a target structure image corresponding to the target object based on the target voxel association information of each voxel.

Abstract: The disclosure provides a method and apparatus for rendering a three-dimensional view, an electronic device, and a storage medium.

Abstract: The disclosure discloses a method and an apparatus for stylizing a three-dimensional model, an electronic device, and a storage medium. The method for stylizing the three-dimensional model includes: acquiring a to-be-stylized three-dimensional model and a stylized target image; and rendering the three-dimensional model by using a predetermined network to acquire a two-dimensional rendered image and spatial feature parameters of a pixel, and stylizing a texture feature in the two-dimensional rendered image based on the spatial feature parameters and the stylized target image to acquire a stylized three-dimensional model.