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Transform document photos into clean scanned-looking pages with automatic edge detection, cropping, and perspective correction. Use when (1) the user wants a photo to look scanned; (2) receipts, forms, pages, or papers need clean borders and straightening; (3) the result should be easier to read,...
Python image processing for microscopy and bioimage analysis. Read/write images, filter (Gaussian, median, LoG), segment (thresholding, watershed, active contours), measure region properties, detect features. SciPy/NumPy ecosystem. Use OpenCV for real-time video; CellPose for DL cell segmentation...
Extract numerical data from scientific figure images using Claude vision + OpenCV calibration. Supports 26+ plot
生成基于OpenCV的Windows自动化脚本，支持模板匹配、颜色检测及组合逻辑（如指示器位于特定颜色区域），具备热键开关和常驻运行功能。
AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g
Computer vision on images + video with OpenCV (docs.opencv.org/4.x/): core (Mat / ndarray, linalg), imgproc (filtering, morphology, geometric transforms, color conv, histograms, contours), imgcodecs (imread/imwrite — PNG, JPEG, TIFF, WebP, EXR), videoio (VideoCapture / VideoWriter — FFMPEG, GStre...
Complete OpenCV computer vision system for Python. PROACTIVELY activate for: (1) Image loading with cv2.imread (BGR format gotcha), (2) Video capture with cv2.VideoCapture, (3) Color space conversion (BGR to RGB, HSV, grayscale), (4) Image filtering (GaussianBlur, medianBlur, bilateralFilter), (5...
Computer vision for bio-image preprocessing, feature detection, real-time microscopy. Color conversion, morphology, contour/blob detection, template matching, optical flow on fluorescence/brightfield. 10-100× faster than pure Python via C++. Use scikit-image for scientific morphometry/regionprops...
OpenCV computer vision library. Use for image processing.
使用Python和OpenCV，基于HSV颜色空间和欧氏距离阈值对图像进行特定颜色的透明化处理，并利用形态学膨胀扩展透明区域，最终输出带透明通道的PNG图片。
Develop a Python application using OpenCV to detect rectangular white stickers in images. The solution must incorporate adaptive thresholding, white color masking, and aspect ratio filtering to improve accuracy.
Implements a robust panorama stitching pipeline using NumPy for geometric transformations (RANSAC, DLT, Warping) while comparing SIFT, SURF, and ORB features. Enforces reference-to-target matching and generates visualization/performance metrics.
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