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JavaCV uses wrappers from the JavaCPP Presets of commonly used libraries by researchers in the field of computer vision (OpenCV, FFmpeg, libdc1394, FlyCapture, Spinnaker, OpenKinect, librealsense, CL PS3 Eye Driver, videoInput, ARToolKitPlus, flandmark, Leptonica, and Tesseract) and provides utility classes to make their functionality easier to use on the Java platform, including Android. JavaCV also comes with hardware accelerated full-screen image display (CanvasFrame and GLCanvasFrame), easy-to-use methods to execute code in parallel on multiple cores (Parallel), user-friendly geometric and color calibration of cameras and projectors (GeometricCalibrator, ProCamGeometricCalibrator, ProCamColorCalibrator), detection and matching of feature points (ObjectFinder), a set of classes that implement direct image alignment of projector-camera systems (mainly GNImageAligner, ProjectiveTransformer, ProjectiveColorTransformer, ProCamTransformer, and ReflectanceInitializer), and more.

Please watch the video below, to convert any file or a command output into a nice html table, in less than 5 Minutes time. The output html file can then be browsed from any location, using a local webserver or an internet www domain. Usage Examples: (Type them on Terminal) cd ~/Downloads/tabulate # location chmod +x *.sh cat "student_marks.csv" | { cat ; echo ; } | ./tabulate.sh -d "," -t "My School" -h "First Term" > "marks.html" # or > "/var/www/html/marks.html" -d specifies...

Aurora IMUI is a general IM UI components library, which does not depend on any specific IM SDK. This library provides common UI components such as MessageList, InputView. It supports common message type, such as text, image, audio, video, etc. By default it has several UI style for choice, and also supports style customization. We already have Android/iOS/React Native platforms support. Already supports three main platform, Android, iOS, React Native. With Aurora IMUI, you can implement...