gstreamer

mirror of https://gitlab.freedesktop.org/gstreamer/gstreamer.git synced 2024-11-28 12:41:05 +00:00

History

Seungha Yang 60983fcea9 nvenc: Don't release stream lock on GstVideoEncoder::stop() baseclass didn't take the stream lock during stop. It's valid only for GstVideoEncoder::finish() Closes https://gitlab.freedesktop.org/gstreamer/gst-plugins-bad/issues/912		2019-03-25 22:26:35 +09:00
..
gstnvbaseenc.c	nvenc: Don't release stream lock on GstVideoEncoder::stop()	2019-03-25 22:26:35 +09:00
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	nvenc: Fix GValue leaks	2019-03-09 15:17:30 +00:00
gstnvh264enc.h	Add Nvidia based hardware encoder element	2015-09-29 15:32:17 +10:00
gstnvh265enc.c	nvenc: Fix GValue leaks	2019-03-09 15:17:30 +00:00
gstnvh265enc.h	nvh265enc: Add Nvidia GPU based HEVC encoder	2018-04-25 01:59:30 +10:00
Makefile.am	build: Don't forget to add windows files to EXTRA_DIST	2019-01-18 13:13:09 +05:30
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