5results about How to "Avoid image distortion" patented technology

This application provides an image processing method, apparatus, computer-readable medium, and computer device. The image processing method includes: acquiring multiple original images and descriptive text corresponding to each of the multiple original images; converting the descriptive text corresponding to each of the multiple original images into text vectors to obtain text vectors corresponding to each of the multiple original images; performing clustering processing based on the text vectors corresponding to each of the multiple original images to obtain multiple original image clusters, and generating text embedding vectors corresponding to each original image cluster; using the text embedding vectors corresponding to each original image cluster as text-guided features, performing semantic editing processing on the original images in each original image cluster to obtain processed images, wherein the processed images are used as sample images for a machine learning model. The technical solution of this application embodiment can enrich the diversity of training datasets, thereby improving the generalization ability and robustness of the model.

The application discloses a burr detection mechanism of a battery pole piece, which comprises a support, a linear motion unit and a detection assembly, wherein the linear motion unit is installed on the supporting surface of the support; the detection assembly comprises a mounting frame, a fixing frame, a camera and a light guide piece, the camera is located above the light guide piece, and the optical axis of the camera is obliquely arranged relative to the light emitting surface of the light guide piece, so that the light of the pole piece to be detected is guided to the camera through the light guide piece; the mounting frame is connected with the linear motion unit; the fixing frame comprises a first fixing plate and a second fixing plate; the first fixing plate is connected with the mounting frame; the camera is fixed on the second fixing plate; a locking hole is formed in the side of the second fixing plate close to the first fixing plate; an arc-shaped opening is formed in the first fixing plate; and the opening is matched with the locking hole. Compared with the traditional manual microscopic sampling inspection mode, the burr detection mechanism can avoid the blind area of static detection, is suitable for dynamic detection on a continuous production line, and is favorable for improving the detection efficiency and the detection quality.

This invention relates to the field of remote sensing technology and discloses an automated collaborative verification method and system for highway slopes using UAVs based on ground-sensor event-driven methods. The method includes: acquiring ground sensor monitoring data and basic geographic information data of the slope; triggering alarm events by threshold judgment of the ground sensor monitoring data; generating regions of interest for the slope based on the basic geographic information data of the slope and matching modeling parameters to obtain a terrain-simulating modeling flight path; calculating the effective geometric parameters and average normal vector of the slope surface based on the three-dimensional coordinates of the sensors that triggered the alarm, constructing a local coordinate system for the slope surface, and obtaining a gridded emergency inspection flight path; encapsulating the terrain-simulating modeling flight path and the gridded emergency inspection flight path, and distributing the flight path tasks to the UAV hangar through a cloud application programming interface; the UAV executing the flight path tasks and transmitting back inspection data, performing multi-dimensional analysis on the inspection data, and completing a ground-air linkage closed-loop decision-making process.

The utility model relates to a kind of dual-camera chemiluminescence imaging instrument, including shell assembly, imaging assembly and sample bearing assembly, shell assembly includes shell, shell has cavity;Imaging assembly is located in cavity, imaging assembly includes at least one imaging unit, and imaging unit includes two cameras, and two cameras are black-and-white camera and color camera respectively;Sample bearing assembly is located in cavity, and sample bearing assembly is oppositely arranged with the lens of black-and-white camera and the lens of color camera.This application breaks through the limitation of single imaging mode through the cooperation of black-and-white camera and color camera, improves chemiluminescence detection sensitivity, realizes the efficient collection of multidimensional data, and accurately analyzes complex biological samples.Moreover, black-and-white camera and color camera are integrated in the same cavity, so that the two cameras share the same field of view, avoiding image error caused by sample movement.

The application discloses a flying point scanning control method and device, and belongs to the technical field of X-ray scanning imaging. The method is realized based on a flying focal point X-ray source and a static constraint device, and comprises the following steps: acquiring scanning control parameters which are independently set for multiple scanning positions, wherein the scanning control parameters comprise scanning time lengths corresponding to the scanning positions, and different scanning positions can be set as different values; and controlling a focal point switching process of the flying focal point X-ray source according to the scanning control parameters to perform flying point scanning. The application is based on pre-identification of a scanning area, different areas adopt different scanning modes, empty areas can be directly skipped, and key areas are strengthened for scanning. The application reduces a radiation dose, improves scanning efficiency, and improves imaging quality of key areas. However, the existing feedback type scheme cannot distinguish empty areas and metal areas (scattering signals are also weak), and is prone to misjudgment and resource waste.