gstreamer/sys/nvenc
Seungha Yang 535adfee37 nvenc: Fix build warning error
'cuDeviceComputeCapability' was deprecated as of CUDA 5.0

gstnvenc.c: In function ‘gst_nvenc_create_cuda_context’:
gstnvenc.c:290:9: error: ‘cuDeviceComputeCapability’ is deprecated [-Werror=deprecated-declarations]
         && cuDeviceComputeCapability (&maj, &min, cdev) == CUDA_SUCCESS) {
         ^

https://bugzilla.gnome.org/show_bug.cgi?id=796203
2018-05-18 10:43:39 +01:00
..
gstnvbaseenc.c nvencbase: Define sinkpad template in subclass 2018-04-25 01:59:30 +10:00
gstnvbaseenc.h nvenc: add "gop-size" property 2018-01-24 10:39:40 +00:00
gstnvenc.c nvenc: Fix build warning error 2018-05-18 10:43:39 +01:00
gstnvenc.h nvenc: Add debug catagory for nvh264enc 2018-04-25 01:59:30 +10:00
gstnvh264enc.c nvenc: Remove GST_USE_UNSTABLE_API defines 2018-04-25 02:44:14 +10:00
gstnvh264enc.h Add Nvidia based hardware encoder element 2015-09-29 15:32:17 +10:00
gstnvh265enc.c nvenc: Remove GST_USE_UNSTABLE_API defines 2018-04-25 02:44:14 +10:00
gstnvh265enc.h nvh265enc: Add Nvidia GPU based HEVC encoder 2018-04-25 01:59:30 +10:00
Makefile.am nvh265enc: Add Nvidia GPU based HEVC encoder 2018-04-25 01:59:30 +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

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