gstreamer

mirror of https://gitlab.freedesktop.org/gstreamer/gstreamer.git synced 2024-12-02 14:36:41 +00:00

History

Ole André Vadla Ravnås cb28314013 nvenc: Stop bitstream thread in ::stop() Otherwise we are likely to crash if EOS didn't happen yet. https://bugzilla.gnome.org/show_bug.cgi?id=781410		2017-04-19 11:51:57 +01:00
..
gstnvbaseenc.c	nvenc: Stop bitstream thread in ::stop()	2017-04-19 11:51:57 +01:00
gstnvbaseenc.h	nvenc: add some rate control modes/properties	2016-04-08 15:24:20 +10:00
gstnvenc.c	nvenc: add preset selection	2016-04-08 15:08:18 +10:00
gstnvenc.h	Add Nvidia based hardware encoder element	2015-09-29 15:32:17 +10:00
gstnvh264enc.c	nvenc: move codec config initialization from the implementation to the base class	2016-04-08 15:08:18 +10:00
gstnvh264enc.h	Add Nvidia based hardware encoder element	2015-09-29 15:32:17 +10:00
Makefile.am	Add Nvidia based hardware encoder element	2015-09-29 15:32:17 +10:00
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