This project is the recipe for a docker image enabling nvenc in ffmpeg.
The files in this repository are licensed under the MIT License.
The docker image itself is based on the NVIDIA CUDA Image -- users of this image should be aware of the EULA associated with the software provided by NVIDIA.
The docker image also contains a layer containing ffmpeg. The user of this image recognizes they are using the system library provided by NVIDIA to facilitate advanced features in ffmpeg.
The include makefile supports two targets:
- build : constructs the docker image)
- shell : opens a debug shell into the docker image
To do something like transcode an video, one can use the docker image as an executable image, and arguments are forwarded to the ffmpeg executable inside the container:
The following example reads in file.mp4 and re-encodes using hevc to
file_1080p.mp4
nvidia-docker run -v $(pwd):/working cvisionai/ffmpeg-nvenc -y -i file.mp4 -c:v hevc_nvenc -filter:v "hwupload_cuda,scale_npp=w=1920:h=1080,hwdownload,format=yuv420p" -strict 2 -tag:v hvc1 -preset medium file_1080p.mp4
CRF setting in the nv_encoder for an estimted crf of 19 could look like this:
-preset llhq -rc:v vbr_minqp -qmin:v 19 -qmax:v 21 -b:v 2500k -maxrate:v 5000k
One can do a fixed QP:
-rc constqp -qp 21