frequently used video code & tools ( in ubuntu 18.04 )
자주쓰는 비디오 코드 & 툴 ( in ubuntu 18.04 )
- Linux_install
$sudo apt update
$sudo apt install ffmpeg
$ffmpeg -version- Windows_install https://blog.naver.com/chandong83/222095346417
Simply Description
WindowsDownload >> .dev link >> .7z file download >> zip in C:\ >> environment path edit
- Help
png files >> mp4 ( lossless )
png파일들 > 영상 ( lossless )
ffmpeg -i input%05d.png -v:c libx265 -crf 0 -f 30 -preset veryslow -pixel_format yuv420p8le output.mp4
파일 시작번호가 100부터 진행될 경우
png files ( 100 ~ ) >> mp4
ffmpeg -start_number 100 -i input%05d.png -v:c libx265 -crf 0 -f 30 -preset veryslow -pixel_format yuv420p8le output.mp4
mp4 >> yuv (작업 운영체제가 일치하지 않으면 영상이 깨짐)
ffmpeg -i output.mp4 -q 0 output.yuv
png >> yuv
ffmpeg -i input.png -pix_fmt yuv420p output.yuv
yuv >> png
ffmpeg -f rawvideo -s 1920x1080 -i input.yuv -f image2 -vcodec png output.png - 리눅스에서 yuv 보여주는 view
- https://flathub.org/apps/details/de.rwth_aachen.ient.YUView
#flatpak (like ubuntu app center)
$sudo apt install flatpak
$sudo apt install gnome-software-plugin-flatpak
$sudo flatpak remote-add --if-not-exists flathub https://flathub.org/repo/flathub.flatpakrepo
#해당 YUView링크에서 flatpak 파일을 다운로드
$flatpak install $파일명 --user
#Run
$flatpak run de.rwth_aachen.ient.YUView- Windows : Visual_Studio 2019 / CMake 3.15 /
- Linux : Clang-tidy-10 / gcc-9 / g++-9 /
- https://gitlab.com/mpeg-i-visual/tmiv/-/tree/v7.1#building-and-installing-tmiv
- Windows : Visual_Studio 2019 / CMake 3.15 /
- Linux : Clang-tidy-10 / gcc-9 / g++-9 /
- VVCENC/DEC 추가 - issues make_error 에서 설명
| tool name | Location | Release | |
|---|---|---|---|
| TMIV | [N0050] | https://gitlab.com/mpeg-i-visual/tmiv | v8.0 |
| VVenC | https://github.com/fraunhoferhhi/vvenc/tree/v0.2.0.0 | v0.2.0.0 | |
| VVdeC | https://github.com/fraunhoferhhi/vvdec/tree/v0.2.0.0 | v0.2.0.0 | |
| VMAF | [VMAF] | https://github.com/Netflix/vmaf | v1.3.14 |
| IV-PSNR | [N 0013] | https://gitlab.com/mpeg-i-visual/ivpsnr | v3.0 |
| IVDE | [N 0058] | https://gitlab.com/mpeg-i-visual/ivde | v3.0 |
VMAF 정확한 링크 :https://github.com/Netflix/vmaf/tree/master/libvmaf
- https://n1094.tistory.com/42 ( cuda 설치 방법 )
- https://koos808.tistory.com/41 ( cuda 버전, tf-nightly-gpu 버전, pytorch )