cuvilib.com is a domain that was created on 2010-07-23,making it 14 years ago. It has several subdomains, such as blog.cuvilib.com , among others.
Description:Image Processing on Steroids; a simple to use, GPU accelerated computer vision...
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CUDA Vision & Imaging Library: CUVI https://cuvilib.com/index.html |
The GPU Blog https://blog.cuvilib.com/ |
Live Demo https://cuvilib.com/demo/ |
underwater - The GPU Blog https://blog.cuvilib.com/tag/underwater/ |
demosaic - The GPU Blog - CUDA Vision & Imaging Library https://blog.cuvilib.com/tag/demosaic/ |
debayer - The GPU Blog - CUDA Vision & Imaging Library https://blog.cuvilib.com/tag/debayer/ |
Index of /downloads/ https://cuvilib.com/downloads/ |
aerial | The GPU Blog https://blog.cuvilib.com/tag/aerial/ |
lowlight | The GPU Blog https://blog.cuvilib.com/tag/lowlight/ |
Blazing fast Focus Stacking on CUDA now in CUVI | The GPU Blog https://blog.cuvilib.com/2021/05/27/focus-stacking-now-in-cuvi/ |
CUVI Guide - CUVI Wiki https://wiki.cuvilib.com/index.php/CUVI_Guide |
Aerial Object Tracking on CUDA with CUVI | The GPU Blog https://blog.cuvilib.com/2022/03/31/aerial-object-tracking/ |
agiscan - The GPU Blog https://blog.cuvilib.com/tag/agiscan/ |
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Ip Country: Singapore |
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CUVI - CUDA Vision & Imaging LibraryDownload DemoWiki Blog Services Contact Menu icon-close Getting Started with CUVI A quick guide to help you setup and start using CUVI in minutes. Feature List Complete list of features that CUVI offers with example code. Benchmark If one thing CUVI gives you, it’s performance boost over competitive libraries and solutions. Image I/O & Framework CUVI C++ interface uses various features of C++ including classes, namespaces, default arguments and overloading to provide ease of use. Release Notes Learn how CUVI evolves with each release. The all-in-one GPU blog with latest news, tips and guides. The GPU Blog Top news and articles NVIDIA Partner Library CUVIlib is now officially part of NVIDIA CUDA-X and is listed under partner libraries on NVIDIA’s website. NVIDIA discontinues macOS support According to the release notes, 10.2 will be the last version of the toolkit to support mac operating system while the next release will remove the support. How CUVI compares with NPP CUVI and NPP both have been in market for almost a decade now. Check out how they compare to each other. CUVI is created by TunaCode Inc. Visit our company website to see more products and services we offer. TunaCode GPU development services Custom Solution Development Let us help you analyze legacy code and port to GPGPU for massively parallel processing or optimize already-parallel code for further performance. Blog About Resources Getting Started Features Performane Benchmarks Release Notes More from TunaCode Seabetter gKrypt CUDA Vision & Imaging Library Simple to use, GPU accelerated computer vision SDK. Download CUVI Check latest release notes. Build realtime and robust vision apps with CUVI Start building your own computer vision solutions using CUVI Ease of Use Requires less than 5 minutes to setup and start using CUVI on your machine. The framework comes with intuitive interface and requires little programming experience from user. Exceptional performance Perform at 100 plus FPS on 4k images for most vision pipelines. In comparison, CUVI performs magnitudes faster than Intel® IPP™, OpenCV and other vision libraries. Feature Rich Provides 100 plus high-end image processing primitives and variants ranging from medical, industrial and defense domains. These features are all handcrafted and highly optimized for GPUs. Robust CUVI fuels many real world applications that are running 24/7 without failure ranging from underwater to land to drones. All features are robust, highly tested and memory friendly. Explore all features Top news and articles from CUVI’s blog. We write about exciting news in the GPU industry and also latest releases and guides from CUVI library, its performance benchmarks and comparison with other SDKs. CUVI becomes NVIDIA Partner Library CUVIlib is now officially part of NVIDIA CUDA-X and is listed under partner libraries on NVIDIA’s website. Our journey began in early 2010 when we envisioned a library built on top of CUDA to provide accelerated primitives for vision applications. Since then we have helped dozens of companies and thousands of users with their performance needs. Today, we are better, faster and more robust than ever. [...] Aerial Object Tracking on CUDA Unmanned aerial vehicles or UAVs with a real-time video feed offer numerous vision applications. Many of these applications depend on detection of objects and tracking those objects along the scenes. The feedback from tracking data can also be used to steer UAVs to follow that object or person of interest. In this article we’ll use code example to show how this can be done using CUVI. [...] Robust DFPD debayer algorithm now in CUVI Continuing the legacy to provide the best imaging algorithm at lightning fast speed, we are proud to announce the addition of DFPD debayer algorithm in CUVI which is more robust than the existing demosaic and shows no artifacts at high feature areas. Linear demosaic implementation though is super fast giving a throughput of more than 500 fps on HD image on a common GPU yet it has its downside. [...] Care to read more? Visit our GPU Blog . Download CUVI. Supports Win (64-bit) and Linux (64-bit & aarch64) Domain Analysis Download You’ll be asked to sign up for CUVI updates after which you will receive download links. For information on the functionality available with this download, refer to the Wiki page. The free version is limited to 1000 x 1000 image size. Listen to our happy users Jean-Pierre Gehrig, Co Founder Edeltech Thanks to CUVI we added real time 4k image processing to our film scanning application without writing one single line of GPU code. Also, we reduced our hardware requirements from a 12-core Xeon server to a single Ge-Force card. Remco Schoenmakers, Director Thermo Fisher Scientific CUVI allowed us to keep the processing power in line with ever increasing data volumes of modern detectors without sacrificing user experience for our electron tomography applications. Ian Holmes, Founding Director underseaROV CUVI helped us put underwater enhancement, a rather compute intensive pipeline, into mobile rovers. The results are impressive and we are able to achieve real time performance on full HD video via a laptop GPU. Need help or have questions? Contact us for any help regarding CUVI, off-the-shelf vision solutions, GPU based product development and code porting with performance analysis. Send This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. Contact Download Framework Free Trial Terms & Privacy Jobs Help News & PressCopyright 2010 - © TunaCode, Inc. All rights reserved.Documentation Getting Started I/O & Framework Features Benchmark Release Notes Resources Example Code Using Multi-GPU Enhance Underwater Images The GPU Blog Home NVIDIA Partner Library Image Rotation on CUDA Release v1.6.0 MacOS Discontinued Company TunaCode Seabetter gKrypt Get CUVI v1.8.0 The latest stable release v1.8.0 is available for download. Download...
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