# CVCUDA/CV-CUDA

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

Repository: https://github.com/CVCUDA/CV-CUDA
Canonical: https://ross.abutalabs.com/products/cv-cuda
Homepage: https://cvcuda.github.io
Language: C++
License: NOASSERTION
License Family: other
Topics: gpu, cloud, computer-vision, cpp, cuda, image-processing, machine-learning, python, cv-cuda, bytedance, nvidia
Last push: 2026-08-11T22:53:54+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 85, longevity 100
- inputs: {"age_days": 1471, "days_push": 22, "days_rel": 22, "gap_med": 82.0, "n_releases_24m": 7}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2718, forks 261 (observed 2026-08-28T04:07:12.169554+00:00)

## What it is
CV-CUDA is an open-source GPU-accelerated library of computer vision and image processing operators built on CUDA, with C++ and Python APIs. It is designed for high-throughput, low-latency image and video preprocessing in AI inference pipelines on NVIDIA cloud, desktop, and edge platforms.

## Use cases
- resize and preprocess images on GPU before feeding a deep learning model
- batch decode and transform JPEG images for cloud-scale inference
- accelerate video frame preprocessing in AI pipelines
- replace CPU OpenCV preprocessing with GPU-accelerated equivalents
- build end-to-end GPU image processing pipelines in Python or C++

## When to choose
- you need high-throughput image preprocessing on NVIDIA GPUs for ML inference
- you want a C++ or Python API that integrates with TensorRT, PyTorch, or other AI frameworks
- you are processing large batches of images or video at cloud scale

## When to avoid
- you need CPU-only image processing without NVIDIA GPUs
- you need a general-purpose image editor or GUI tool
- your target platform lacks CUDA support

## Facets
- artifact type: library
- maturity: active
- function: image-processing, computer-vision, gpu-computing, machine-learning
- domain: computer-vision, image-processing, gpu-computing, deep-learning
- platform: windows, python, cpp, cross-platform
- tags: cuda, nvidia, image-decoding, preprocessing, batch-processing, video-processing, linux, gpu

## Member repositories
- CVCUDA/CV-CUDA (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:12.169554+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:15:18.680420+00:00, confidence not recorded.
  - readme: https://github.com/CVCUDA/CV-CUDA (fetched 2026-08-28T04:07:12.169554+00:00, sha ca1c8a91832c)
  - homepage: https://cvcuda.github.io (fetched 2026-08-29T09:58:13.528974+00:00, sha 8fe5be303db5)
- Data as of 2026-08-30T08:39:29.467469+00:00.