Search Results for "computer science"
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Showing 6 open source projects for "computer science"
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Physics Simulation Software based on user sketchs running a pattern recognition agent, this app is able to animate a physics sketch, from a blackboard
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Motion Detector
Program to measure amount of motion with DirectX-compatible camera
The program is designed to measure and store on the HDD the amount of motion measured with the DirectX-compatible camera. The program also can capture video with sound and store them in compressed AVI files. The special feature of Motion Detector is its support of information exchange through UDP protocol. Motion Detector can send motion data in real time to other software for organizing real-time feedback in scientific behavioral experiments. It also can accept commands trough the network... -
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L.E.I.C.A. (Long Exposure Internet CAmera) is an application that takes input from your webcam, or v4l2 device, and makes a long-exposure image. Until now there's only a python binding for this app, soon there will be a C/C++ SDL one
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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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The Mimas Toolkit is a C++ real-time computer vision library. Algorithms include edge/corner-detection, object recognition/tracking, LSI-filters, segmentation, array-operators, convolution etc. OO wrappers for LAPACK, libxine, V4L, FFTW are provided.
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Myron (webcamxtra) brings native-implemented, cross-platform computer vision to Processing and Macromedia Director, allowing inexpensive commercial USB cameras to control just about anything. Keep computer vision easy and inexpensive for the people!
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