Realtime Processing Software

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Realtime Processing Software

  • C++Builder: 1 codebase, 1 UI designer, 4 platforms. C++Builder: 1 codebase, 1 UI designer, 4 platforms. Icon
    C++Builder: 1 codebase, 1 UI designer, 4 platforms. Icon

    The best visual IDE for creating fast performance native apps across platforms. Start today a 30-Day trial (no credit card needed).

    Modern C++, standards-compliant with enhanced language extensions, beautiful native UI tools, and cross-compilation to Windows, macOS, iOS and Android. We provide the ‘full stack’ for native app development, from database to native and flexible UI to REST and more. If you want crossplatform C++ done right - choose the Complete App Platform for Multi-Device Native Development - Choose C++Builder.
  • Locate Sensitive Data across Networks and Workstations Locate Sensitive Data across Networks and Workstations Icon
    Locate Sensitive Data across Networks and Workstations Icon

    Build the Business Case for Effective Security Investments

    Your customers recognize the importance of security, but often don’t realize the urgency until they see something tangible. SolarWinds Risk Intelligence assigns value to your data vulnerability, helping you build a strong business case for data protection and triage the most important problems to tackle. Some powerful features include data risk communicated as financial impact, at-risk data discovery and PCI DSS, PAN & PII scans.
  • OpenCV Icon

    OpenCV

    Open Source Computer Vision Library

    The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android and iOS. Homepage: opencv.org Q&A forum: answers.opencv.org Documentation: docs.opencv.org Please pay special attention to our tutorials! http://docs.opencv.org/3.2.0/d9/df8/tutorial_root.html Books about the OpenCV are described here: http://opencv.org/books.html

  • Ellipse Detector

    This is a c++ library that uses the ellipse hough trasform to find ellipse over images. The image is trasformed in a five dimensional space with variable metric (using K-d box tree) and in this space ellipses are searched and found.

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