Search Results for "ai image video"
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Showing 9 open source projects for "ai image video"
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A multimedia authoring and processing framework and a video playout server for television broadcasting.
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mrViewer
Flipbook, Image Viewer and Audio-Video Player
This project is no longer active. It has been replaced by mrv2 at: www.sourceforge.net/p/mrv2 A video player, interactive image viewer, and flipbook for use in VFX, 3D computer graphics and professional illustration. -
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imgIX
A plugin for integrating imgix into Jekyll sites
...Future-proof your visual media, so your customers get the best experience anywhere, on any platform. Upload, search, edit, and organize all cloud assets. See real-time insights. Intelligent, automated compression that eliminates unnecessary bytes. Fast image and video loading with a globally distributed CDN. Encode, stream, and manage videos for a rich and smooth viewing experience. Stream in HLS or MP4. Get the best compression, video quality, and bandwidth adaptability. -
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svg-map-animation
generate animated video-clips from svg-image
Draw some track-segments as bezier-curves on top of a map-image. Run svgAnim.rb-script to generate a vido-clip witch shows the track animated from 0% to 100% visibility -
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Fulguro is an optimized 2D library for image processing with Mathematical Morphology and Linear processing
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GImageView is a GTK+ based image viewer which supports tabbed browsing, thumbnail table views, directory tree views and drag and drop. It also support movies using the Xine library and MPlayer, and supports images in compressed archive formats.
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HornetsEye Ruby Computer Vision Library
Ruby computer vision library
Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2). Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The source code is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information). -
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In digital visual effects we deal with an overwhelming number of images. Earth simplifies the management of this data by continuously tracking the whereabouts of image sequences across a filesystem or visual effects facility.
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The Anvil is setting out to produce one strong platform for all media. Fluid work with major audio, video, raster/vector images, 3D formats and scripting languages will allow us to start from anywhere and temper out the masterpeice we needed.
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