https://github.com/holusion/stingray

Stingray is a video playback engine that gives you complete control over your reading speed
https://github.com/holusion/stingray

Last synced: 29 days ago
JSON representation

Stingray is a video playback engine that gives you complete control over your reading speed

• Host: GitHub
• URL: https://github.com/holusion/stingray
• Owner: Holusion
• License: gpl-3.0
• Created: 2016-08-23T15:05:43.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2022-07-18T08:31:59.000Z (over 2 years ago)
• Last Synced: 2023-08-16T07:20:47.713Z (over 1 year ago)
• Language: C++
• Size: 39.7 MB
• Stars: 3
• Watchers: 5
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: COPYING

Awesome Lists containing this project

README

        
# Stingray

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

# Tests and benchmark

gtest is vendored in `vendor/gtest`. Rebuild before testing using the recommended [cmake process](https://github.com/google/googletest/blob/master/googletest/README.md).

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.

### Debug

Compiling with debug symbols is done like :

    make clean

    CPPFLAGS=-DDEBUG ./configure 

    make

# Hardware acceleration

## Preamble

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.

### ffmpeg-static

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

### Testing dbus