CV-CUDA

NVIDIA CV-CUDA™ is an open-source library that enables building high-performance cloud-scale Artificial Intelligence (AI) Computer Vision (CV) applications. It provides a specialized set of computer vision and image processing kernels to help developers GPU-accelerate pre- and post-processing stages in their AI pipelines. CV-CUDA enables achieving end-end throughput performance speedup of up to 49x, thus significantly reducing computing cost and energy consumption.

CV-CUDA includes:

  • A unified, specialized set of high-performance CV and image processing operators

  • C/C++ and Python APIs

  • Batching support, with variable shape images

  • Zero-copy interfaces to PyTorch and TensorFlow

  • End-end accelerated sample applications for common computer vision pipelines.

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CV-CUDA Pre- and Post-Processing Operators

CV-CUDA offers more than 30 Computer Vision and Image Processing operators. Find the operator that is right for your workflow below.

Where Are the Release Notes?

An awesome product requires excellent support. CV-CUDA release notes can be found here.

Where Can I Get Help?

File requests for enhancements and bug reports here.

What Other Computer Vision Products Does NVIDIA Offer?

NVIDIA offers a number of products for accelerating computer vision and image processing applications. In addition to CV-CUDA, some of the others include:

  • DALI (Data Loading Library), a portable, holistic framework for accelerated data loading and augmentation in deep learning workflows involving images, videos, and audio data.

  • VPI (Vision Programming Interface), an accelerated computer vision and image processing software library primarily for embedded/edge applications.

  • cuCIM (Compute Unified Device Architecture Clara Image), an open source, accelerated computer vision and image processing library for multidimensional images in biomedical, geospatial, material life science, and remote sensing use cases.

  • NPP (NVIDIA Performance Primitives), an image, signal, and video processing library that accelerates and performs domain-specific functions.

If you want to learn more about what computer vision solutions are available, review the computer vision solutions landing page.

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