TunaCode is pleased to announce the release of CUVI (CUDA Vision and Imaging Library) version 0.5 which comes with a new API and amazing new features. With this release, our team of expert GPU developers have made it even more simpler to add acceleration to your existing Imaging applications, without any prior technical knowledge of GPUs whatsoever. This not only removes the technical barrier to gaining massive speedups but also reduces your time-to-market. We believe that CUVI 0.5 will add value to your product.
CUVI v0.5 is built from bottom up with performance and ease-of-use in mind. I would like to take this opportunity to tell you a bit about these 2 aspects:
CUVI provides GPU accelerated Image processing and Computer Vision functions which are, on average, 10 times faster then their CPU based versions. CUVI functions provide this acceleration by utilizing NVIDIA GPUs (Graphics Processing Units) which have hundreds of light weight compute cores compared to CPU cores. This will shift the computing load from your CPU to GPU freeing the CPU for other tasks. Take a look at the Features Page for comparison of some of the functions.
CUVI v0.5 has been tested to work with OpenCV and Intel IPP libraries which means integration is ever more easier. This also means that you do not have to rewrite your code from scratch to utilize GPU’s compute power. Take a look at this blog post that explains how easy it is to use CUVI with OpenCV.
The following new functionality has been added into CUVI:
1) Feature Detection: KLT and Harris feature detectors
2) Dense Motion Detection: Optical Flow Lucas & Kanade and Horn & Schunck
3) Image Transform: Haar Discrete Wavelet Transform
4) Image filters: 2D linear filter
The API has been improved to include CuviImage object which holds the image on the GPU. You can read more about it in the Developer Reference (PDF). CUVI version 0.5 is available for download at CUVILib website and is available for Windows (Win32, x64) with planned support for Linux and Mac.
You can also get in touch with our GPU experts to help you set up CUVI and make sure you get the best out of it.