# NVIDIA/VideoProcessingFramework

Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions

Repository: https://github.com/NVIDIA/VideoProcessingFramework
Canonical: https://ross.abutalabs.com/products/videoprocessingframework
Language: C++
License: Apache-2.0
License Family: permissive
Archived: true
Last push: 2024-06-10T14:16:44+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2456, "days_push": 814, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1378, forks 240 (observed 2026-08-28T04:04:33.558652+00:00)

## What it is
NVIDIA's Video Processing Framework (VPF) provides C++ libraries with Python bindings for fully hardware-accelerated video decoding, encoding, transcoding, and GPU-accelerated color space and pixel format conversion. It can export decoded GPU frames directly to PyTorch tensors without host-to-device copies, but is now deprecated in favor of PyNvVideoCodec.

## Use cases
- decode video with nvidia gpu hardware acceleration in python
- encode h264 video on gpu
- transcode video using nvidia hardware codecs
- convert color space and pixel format on gpu
- export decoded video frames to pytorch tensors without copying to host

## When to choose
- you need GPU-accelerated video encode/decode in Python on NVIDIA hardware
- you want zero-copy transfer of decoded frames into PyTorch
- you need pixel format or color space conversion on the GPU

## When to avoid
- starting a new project - use PyNvVideoCodec instead since VPF is deprecated
- you need software (CPU) encode/decode or surface format conversion
- you need platforms other than Ubuntu Linux or Windows
- you don't have an NVIDIA GPU with CUDA toolkit and FFmpeg available

## Facets
- artifact type: library
- maturity: maintenance
- function: video-processing, image-processing, gpu-computing
- domain: media, gpu-computing
- platform: windows, python, cpp
- tags: nvidia, cuda, hardware-acceleration, video-encoding, video-decoding, python-bindings, deprecated, pynvvideocodec, video, linux, gpu

## Member repositories
- NVIDIA/VideoProcessingFramework (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:33.558652+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 2026-08-30T04:40:20.773510+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA/VideoProcessingFramework (fetched 2026-08-28T04:04:33.558652+00:00, sha f5d895d40347)
- Data as of 2026-08-30T08:39:29.467469+00:00.