Showing 35 open source projects for "proxy server windows"

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  • 1
    Your Digital Photography Suite provides programs to help you label and manage your digital photography collection. YDP (aka Your dot Photos) also provides a server-side application to help you present and search your photo collection.
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  • 2
    Slideshow is a portable SDL based presentation framework.
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  • 3
    djphoto is a application to manage photobooks on the Internet. The application reads the photo\\\'s from a directory structure on the server and creates thumbs and resizes of the photo\\\'s using either GD or ImageMagick. - The application does
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  • 4
    Visualization System is a server application for presenting and manipulating XML-based adapted multimedia data, useful eg. in mobile environement. It is component based framework for additional modules developement.
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  • 5
    This project aims to create a Java applet able to display pictures and slideshows of pictures in your favorite web browser. As opposed to server-side solutions, applets can be viewed offline, can be burnt on CD and are generally more flexible than script-
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  • 6
    This project is designed to easily display and format digital pictures on your web server. Once pictures are uploaded to the server, phpGallery will create thumbnails and load the pictures into the database. Pictures can be searched by subject, photograph
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  • 7
    Charts Library and Visual Environment. Free software for scientific and business charts generation. Converts data flows into well-designed images. Suitable for web, reports, presentations and applications development. Based on its own CHD format.
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  • 8
    a web based picture-gallery written in PHP - uses csv-textfiles
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  • 9
    The LkSpot is the coolest ARTISTIC DEMO in the web....
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  • 10
    PhotoCloud is a tool to browse and a navigate for datasets composed of (a) a collection of registered images and (b) a 3D model over which images are aligned. The 3D model can be a point-cloud, triangle mesh. PhotoCloud is based on a client/server architecture and it is scalable: very large dataset (both in terms of (a) and (b) can be handled.
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