Search Results for "artificial intelligence script" - Page 2
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Showing 38 open source projects for "artificial intelligence script"
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A GUI for OCR programs.
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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 bookshooter can be used in combination with program like Adobe Digital Editions or Kindle for PC. It takes pictures of every Page, which can be read by an OCR-Program.
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Akshara Malayalam OCR is a project for the development of an OCR for printed and handwritten documents in Malayalam language. The inspiration is from similar OCR softwares in other languages etc.
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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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Tifftool is a high-performance tool to clean scanned documents in preparation for onscreen display or for OCR. Features include skew correction, orientation correction, despeckle, page alignment, split pages and batch processing.
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XWA Scores is an OCR dedicated to the game "XWing Alliance". It's main goal is to convert the scores from a screen capture.
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libGMUVision is a set of C++ bindings for libdc1394 and Qt widgets designed and developed by the Artifical Intelligence Lab at George Mason University and now available under the GNU LGPL.
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It's a dumb, but lightning fast OCR engine, not using any fancy math to recognize text from screenshots. Aim to recognize 100% of text from screenshot, even if image is affected by jpeg compression or text is affected by antialiasing.
