gstreamer

mirror of https://gitlab.freedesktop.org/gstreamer/gstreamer.git synced 2024-12-22 08:17:01 +00:00

History

Niels De Graef 11a2df46b3 nvenc/nvdec: Add NVIDIA SDK headers to noinst_HEADERS The tarballs that were being spun for 1.16 don't contain these headers due to this small oversight, so let's add them.		2019-05-02 22:31:00 +00:00
..
gstnvbaseenc.c	nvenc: Don't leak CUDA device memory	2019-03-26 11:54:16 +00:00
gstnvbaseenc.h	nvenc: add "gop-size" property	2018-01-24 10:39:40 +00:00
gstnvenc.c	nvenc: Add meson build with Windows support	2018-11-25 23:31:37 +00:00
gstnvenc.h	nvenc: Add meson build with Windows support	2018-11-25 23:31:37 +00:00
gstnvh264enc.c	Increase nvenc's encoding height to 4096	2019-04-04 20:19:42 +00:00
gstnvh264enc.h	Add Nvidia based hardware encoder element	2015-09-29 15:32:17 +10:00
gstnvh265enc.c	Increase nvenc's encoding height to 4096	2019-04-04 20:19:42 +00:00
gstnvh265enc.h	nvh265enc: Add Nvidia GPU based HEVC encoder	2018-04-25 01:59:30 +10:00
Makefile.am	nvenc/nvdec: Add NVIDIA SDK headers to noinst_HEADERS	2019-05-02 22:31:00 +00:00
meson.build	nvenc: Fix build when cuda is found but nvenc is disabled	2019-03-11 14:45:14 +05:30
nvEncodeAPI.h	nvdec/nvenc: Shipping NVIDA Codec SDK headers	2018-11-25 23:31:37 +00:00
README	Add Nvidia based hardware encoder element	2015-09-29 15:32:17 +10:00
TODO	Add Nvidia based hardware encoder element	2015-09-29 15:32:17 +10:00

README

This plugin is intended for use with NVIDIA hardware.  Specifically, the NVENC
block available in recent NVIDIA GPU hardware.  This is provided by a
libnvidia-encode library provided by NVIDIA graphic drivers.

Requirements
------------
Cuda > 6.5
NVENC 5.0

See https://developer.nvidia.com/nvidia-video-codec-sdk for a list of
supported GPU's.

Building
--------
1. Retrieve the NVENC SDK
from https://developer.nvidia.com/nvidia-video-codec-sdk
- http://developer.download.nvidia.com/compute/nvenc/v5.0/nvenc_5.0.1_sdk.zip
2. unzip this somewhere and retreive or note the location of the
nvEncodeAPI.h under nvenc_api-5.0.1/Samples/common/inc/
3. Retreive a version of cuda from
https://developer.nvidia.com/cuda-downloads and install somewhere noting
the installation prefix (typically /opt/cuda or /usr/local/cuda)
4. Now that the dependencies are sorted, there are a couple of
environment variables and/or or configure arguments that are needed to
detect the necessary libraries/headers.

More information is available from the following locations

[1] - https://developer.nvidia.com/cuda-downloads
[2] - https://developer.nvidia.com/nvidia-video-codec-sdk