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AutoCrop-Vertical is a Python-based video processing tool that automatically converts horizontal videos into vertical formats optimized for social media platforms. It uses computervision techniques and AI models such as YOLOv8 to analyze each frame, detect subjects, and dynamically adjust cropping decisions. Instead of applying a static center crop, the system intelligently tracks people or key objects to preserve visual focus and composition. When cropping would degrade the scene, it can switch to alternative layouts such as letterboxing to maintain context. ...
C++ library for image acquisition and visualization
Library for capturing video from cameras, 3d sensors, frame-grabbers, video files and image sequences.
It can also display multiple images using OpenGL with different layouts. Easy integration with OpenCV, CUDA... Perfect for computervision.
Keywords: video capture, computervision, machine vision, opencv, opengl, cameras, video input devices, firewire, usb, gige
The Python ComputerVision Framework is an opened project deisgned for all those interested in computervision. It aims at making computervision more easy and structured and matlab-free.
It may also be used for other artistic and scientific areas.
proGPUKLT is a library for the Processing programming language and environment that wraps a GPU-implementation of the Kanade-Lucas-Tomasi feature tracker used for computervision applications.
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The Video Processing Evaluation Resource: A toolkit for evaluating computervision algorithms on video, and a corresponding tool for annotating video streams with spatial metadata.
ViKi (Virtual Interactive keyboard Interface) is a global framework that enables contactless human machine interaction using computervision techniques.
Only a simple webcam is sufficient to emulate traditional devices such as mouse and keyboard do.