CV-CUDA Developer Guide

What is CV-CUDA?

CV-CUDA™ is an open-source, graphics processing unit (GPU)-accelerated library for cloud-scale image processing and computer vision developed jointly by NVIDIA and the ByteDance Applied Machine Learning teams. CV-CUDA helps developers build highly efficient pre- and post-processing pipelines that can improve throughput by more than 10x while lowering cloud computing costs.

CV-CUDA includes:

A unified, specialized set of high-performance CV and image processing kernels
C, C++, and Python APIs
Batching support, with variable shape images
Zero-copy interfaces to PyTorch
Sample applications: object classification and image segmentation

What Pre- and Post-Processing Operators Are Included?

Pre/Post-Processing Operators	Definition
AverageBlur	Reduces image noise using an average filter
BilateralFilter	Reduces image noise while preserving strong edges
CenterCrop	Crops an image at its center
ChannelReorder	Shuffles the order of image channels
Composite	Composites two images together
Conv2D	Convolves an image with a provided kernel
CopyMakeBorder	Creates a border around an image
CustomCrop	Crops an image with a given region-of-interest
CvtColor	Converts an image from one color space to another
DataTypeConvert	Converts an image’s data type, with optional scaling
Erase	Erases image regions
Flip	Flips a 2D image around its axis
GammaContrast	Adjusts image contrast
Gaussian	Applies a gaussian blur filter to the image
Laplacian	Applies a Laplace transform to an image
MedianBlur	Reduces an image’s salt-and-pepper noise
Morphology	Performs morphological erode and dilate transformations
Normalize	Normalizes an image pixel’s range
PadStack	Stacks several images into a tensor, with border extension
PillowResize	Changes the size and scale of an image using python-pillow algorithm
Reformat	Converts a planar image into non-planar and vice versa
Resize	Changes the size and scale of an image
Rotate	Rotates a 2D array in multiples of 90 degrees
WarpAffine	Applies an affine transformation to an image
WarpPerspective	Applies a perspective transformation to an image

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 computer vision products

In addition to cloud-scale computer vision and image processing, NVIDIA offers:

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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NVIDIA, the NVIDIA logo, NVIDIA CVCUDA, and NVIDIA TensorRT are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated.

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