Stingray is a video reader with fluid customizable play speed. Designed for user-controlled display experience.
Read doc and install instructions at https://holusion.github.io/stingray/
Example configuration :
CPPFLAGS=-DDEBUG ./configure --enable-seamless --enable-dbus --enable-capacity=100 --enable-crossfade --disable-modules
gtest is vendored in vendor/gtest. Rebuild before testing using the recommended cmake process.
test using make check
A Benchmark tool is also produced on make. It can be used like :
benchmark target_video.mp4
With different encodings or to test code performance improvement.
Compiling with debug symbols is done like :
make clean
CPPFLAGS=-DDEBUG ./configure
make
Usefull doc :
- http://developer.download.nvidia.com/compute/redist/ffmpeg/1511-patch/FFMPEG-with-NVIDIA-Acceleration-on-Ubuntu_UG_v01.pdf
- https://trac.ffmpeg.org/wiki/HWAccelIntro
- https://gist.github.com/Brainiarc7/988473b79fd5c8f0db54b92ebb47387a
use nvidia-smi (package nvidia-smi) to get GPU usage "like top".
nvidia-smi dmon -i 0
Debian package nvidia-cuda-toolkit will do for all CUDA install requirements.
Usefull packages :
apt-get install yasm nvidia-cuda-toolkit
Essentially, CUVID could provide the kind of function we need. However it's not nearly mature enough to provide a stable base.
If there is too much trouble with system-version, one can static-compile FFMPEG to be able to use latest hwaccel
Source : https://fritzone.wordpress.com/2010/05/11/link-with-static-ffmpeg/ Generic Compile instructions : https://trac.ffmpeg.org/wiki/CompilationGuide/Ubuntu Could be made "more static" by using work on fully-static binary : https://github.com/zimbatm/ffmpeg-static/blob/master/build.sh
final configure : ./configure --disable-ffplay --extra-libs="-lpthread -lm" --pkg-config-flags="--static" --enable-static --enable-gpl --enable-vaapi --enable-libx264