3results about How to "Implement automatic conversion" patented technology

The application discloses a kind of object illumination editing methods, systems and media based on single picture, the method of the application includes the single picture of target object is removed strong highlight by trained highlight decomposition network;The picture after removing strong highlight is input into trained normal network to estimate the normal map of target object in picture, the picture after removing strong highlight is input into trained illumination network to estimate the illumination map of target object in picture;According to normal map and illumination map, input trained differentiable rendering layer, obtain the inverse rendering model of target object;Give new illumination, material to the inverse rendering model of target object, then the illumination, material information of the inverse rendering model of target object is re-rendered, obtains the picture of target object under new illumination, material.The application can realize the automatic conversion directly from single image to three-dimensional model, and can be assigned illumination and material information as needed, can be widely applied in augmented reality technology.

The utility model discloses a kind of cable hoisting devices, it is related to the installation technical field of cable or wire.A kind of cable hoisting device, including support frame, lifting frame and fixed base, support frame and lifting frame are fixedly connected on the top of fixed base by bolt, lifting structure, lifting structure is located on lifting frame, lifting structure includes two fixed plates, rotating shaft, two threaded rods, drive motor, two bevel gear rings and two bevel gears, two lifting grooves are set up in the side of lifting frame away from support frame, transmission groove is set up in the both sides of lifting frame, cable placing frame is rotated around support plate by electric telescopic link, realize the automatic conversion of cable from horizontal lifting state to inclined placement state, without manually pushing and pulling cable, avoid the physical exertion problem of manpower pushing cable onto rack, simultaneously, also avoid the cable sliding risk caused by artificial operation out of step, further improve the practicality of cable lifting.

The invention discloses an improved YOLOv8-based hydraulic cylinder structure size identification method and system, and the method comprises the steps: constructing an improved YOLOv8 target detection model: embedding a direction sensitive convolution module in front of a spatial pyramid rapid pooling module of a backbone network, introducing an external attention mechanism into a cross-stage partial fusion module, and carrying out the detection of the target detection model; a multi-scale attention aggregation module is integrated in the neck network; performing multi-size cooperative detection on a hydraulic cylinder drawing by using the trained model, identifying various installation size areas, and generating an identification image; segmenting each size region, extracting a structure-installation size association sub-graph, identifying a size text in the structure-installation size association sub-graph through an optical character identification model, and generating structured association data; checking, matching and associating the associated data based on a predefined installation size mapping function; and fusing the recognition and verification results, performing multi-level verification based on the geometric constraint of the hydraulic cylinder structure and a tolerance accumulation rule, and generating a natural language output result.