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Template:RidgeRun Video Stabilization Library/Main contents: Difference between revisions
Template:RidgeRun Video Stabilization Library/Main contents (view source)
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<h2>RidgeRun Video Stabilization Library</h2> | <h2>RidgeRun Video Stabilization Library</h2> | ||
The RidgeRun Video Stabilization Library is the most advanced video stabilization library from RidgeRun. It supports | The RidgeRun Video Stabilization Library is the most advanced video stabilization library from RidgeRun. It supports <b>live video (or real time) stabilization</b> thanks to movement data from accelerometers and gyroscopes in an Inertial Measurement Unit (IMU) and cutting-edge and state-of-the-art algorithms. | ||
This library makes the most of the platform, using C++ and allowing | This library makes the most of the platform, using C++ and allowing <b>hardware-accelerated execution</b> through <b>SIMD CPU instructions, OpenCL and CUDA</b>. It can run on personal computers (PC), servers and embedded systems, making it ideal for empowering your <b>drone</b>, <b>robotics</b>, <b>surveillance</b> and <b>entertainment</b> applications. | ||
The RidgeRun Video Stabilization Library aims to be easy to use, extensible, cutting-edge and hardware-accelerated for professional and production-ready products. | |||
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<ul> | <ul> | ||
<li> | <li><b>Hardware-accelerated</b> through OpenCV, OpenCL or CUDA.</li> | ||
<li>Support for | <li>Support for <b>Inertial Measurement Units</b> (accelerometers and gyroscopes).</li> | ||
<li> | <li><b>Live (real time</b> and offline video stabilization.</li> | ||
<li>Adequate for embedded systems based on NXP, Qualcomm and NVIDIA.</li> | <li>Adequate for embedded systems based on NXP, Qualcomm and NVIDIA.</li> | ||
<li>GStreamer capable.</li> | <li>GStreamer capable.</li> | ||