Search Results for "gnu science"
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Showing 9 open source projects for "gnu science"
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High Speed Parallel Imaging (HSPI)
HSPI does parallel capture and sky surveys.
HSPI offers to the astronomer the possibility to capture pictures from the CCD camera in a fast and intuitive way, keeping under control all the instrumentation in posses. HSPI can control the CCD camera, the mount, the focuser, the filter wheel and the dome from a single interface, and not only this: these features can be added on as many observatories and instrumentations you want. HSPI is ASCOM and INDI compatible, so if you want to use particular setups like Linux computers connected... -
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Java API for controling 1394 Digital Cameras (based on libdc1394: http://sourceforge.net/projects/libdc1394/ for Linux, and on: CMU 1394 DC http://www-2.cs.cmu.edu/~iwan/1394/ for Win32). On Top of the library comes a RCP plugin and a JMF capture dev
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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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Search and Get GPS (and other) metadata from Image ( EXIF ) . Find Location On Google Map .
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Library for video broadcasting on the internet provided by a remotely operated robot. This system uses video for the issuance of the JMF API and access to camcorders (1394), the library jvc1349.
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Java API for FireWire-cameras (IEEE-1394 DC) on Windows (based on "CMU 1394 Digital Camera Driver" http://www-2.cs.cmu.edu/~iwan/1394/). This project was merged with jlibdc1394 (http://jlibdc1394.sourceforge.net). Until the first releases there this pr
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DCRaw4J converts digital camera RAW image files into standard formats such as JPEG and 16-bit TIFF (linear or non-linear). DCRaw4J was inspired by David Coffin's dcraw; a C program that handles raw formats from over 200 cameras.
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Image-In is a C++ based image processing and analysis application. It works on images, videos and cameras. Target is to help you to develop and test new algorithms via add-ons. Chains of filters can be arranged to achieve intelligent systems.
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Implementation of a Silhouette extraction algorithm [1]. Coded in octave (matlab). [1] M. Yamada, K. Ebihara, and J. Ohya. A New Robust Real-time Method for Extracting Human Silhouettes from Color Images. Int. Conf. on Auto. Face and Gesture Recog., 1998
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