[Cin] Build rpm from current build Cingg and thirdparty fmpeg7

Terje J. Hanssen terjejhanssen at gmail.com
Fri Dec 6 00:06:29 CET 2024




Den 03.12.2024 22:20, skrev Andrew Randrianasulu:
>
>
> вт, 3 дек. 2024 г., 23:59 Terje J. Hanssen <terjejhanssen at gmail.com>:
>
>
>     From a previous thread:
>     Re: [Cin] another set of test profiles
>
>     Den 18.10.2024 02:08, skrev Andrew Randrianasulu:
>>
>>     чт, 17 окт. 2024 г., 15:06 Terje J. Hanssen
>>     <terjejhanssen at gmail.com>:
>>
>>
>>         Den 17.10.2024 13:51, skrev Andrew Randrianasulu:
>>>
>>>         чт, 17 окт. 2024 г., 13:40 Terje J. Hanssen
>>>         <terjejhanssen at gmail.com>:
>>>
>>>
>>>             Den 14.10.2024 00:38, skrev Andrew Randrianasulu:
>>>>
>>>>             пн, 14 окт. 2024 г., 01:36 Phyllis Smith
>>>>             <phylsmith2017 at gmail.com>:
>>>>
>>>>                 Andrew, so it seems prudent to check into GIT, the
>>>>                 av1_vaapi.mp4 render format (after successfully
>>>>                 tested of course); but what about the QSV encoders?
>>>>
>>>>
>>>>
>>>>             wait for Terje's testing OR try to build oneVPL-cpu (it
>>>>             sort of circles back to different branch of ffmpeg, so
>>>>             ffmpeg will think it uses qsv but it in fact will use
>>>>             another ffmpeg .... well, in theory! it does not work
>>>>             for me on 32-bit!)
>>>>
>>>>
>>>
>>>             I wonder if Hw accellerated encoding support via Vaapi
>>>             and QSV is to be embedded in future Cingg Appimage
>>>             and/or packages if possible?
>>>             What about a list of supported dGPUs/iGPUs?
>>>
>>>
>>>         Problem is - QSV/vaapi basically search for driver component
>>>         and this one might be in different location on different
>>>         distros, and interface between two also not set in stone.
>>>
>>>         For appimage you can just unpack them and remove libva.so so
>>>         on startup cingg will link to system's libva.
>>>
>>>         QSV as we learned is another layer with their own runtime
>>>         path for yet another set of driver components. So, while
>>>         building libvpl itself is relatively easily making sure it
>>>         finds its drivers is not easy (at least for me).
>>>
>>>         speaking about GPU list I think it will be fairly short,
>>>         you,Phyllis and Andrea probably only ones who use it and
>>>         report back. Stephan noticed some troubles and reverted back
>>>         to software. I can test nvdec/nvenc on livecd but this is
>>>         not my everyday setup (Nvidia proprietary drivers enforce
>>>         64-bit system).
>>>
>>>         But well, feel free to post short summary of that works on
>>>         your GPUs in cingg as another thread, hopefully others will
>>>         chime in!
>>
>>         If we get available a packaged Cingg test build (rpm/Leap for
>>         me), it would be more useful to do this test. Then I have
>>         available three gen. Intel, legacy Skylake/Kabylake iGPUs and
>>         current DG2/Arc GPU. I also have/had a Nvidia GPU on Skylake,
>>         but it looks like it past away.
>>
>>
>>     I think you can build rpm yourself, but for this we need to
>>     update spec file, so it will point at new source and add openvpl
>>     as requirements.
>>
>>     In meantime  you can just make your own appimage from just build
>>     cingg-with-system-ffmpeg, so it hopefully will not be lost after
>>     few system updates.
>>
>>
>
>     Andrew,
>     I don't know how busy you are currently with other tasks, but i
>     case you have time, I would be interested to fulfill this rpm and
>     (possibly Appimage) exercise?
>     That is from my current build with third-party (internal) ffmpeg7.0.
>
>
>
> for rpm you need to edit blds/cinelerra.spec at the very top there is 
> date, I think latest tar version is
>
> https://cinelerra-gg.org/download/src/cin_5.1.20241031-src.tgz
>
>
> so replace 2020 something with 20241031
>
> but then it need to be patched up, and I do not have tested procedure 
> for doing this. Probably rpm  should wait until new tagged release 
> .... you can search for rpmbuild command on your system and read its 
> manpage/help and may be test run it on some other (faster to rebuild) 
> .spec file in meantime
>
>
> Appimage should be simpler from  existing source directory
>
>
> just run
>
> bld_appimage.sh
>
> but be sure to get additional file and put it where it belong  as 
> described in comment:
> =====
>
> # Get the appropriate appimagetool from 
> https://github.com/AppImage/AppImageKit/releases
> # and put it in your path. Only install the version for your platform
> # and mark it executable. The file name must start with "appimagetool".
>
> ====
>
> probably /usr/local/bin will be simplest place  to put it as root?

/Cin # sh ./bld_appimage.sh
.....snip
-- Copying files into AppDir --
Copying file image/cin.desktop to AppDir/usr/share/applications/cin.desktop
Copying file image/cin.svg to 
AppDir/usr/share/icons/hicolor/scalable/apps/cin.svg

-- Deploying files into AppDir root directory --
Deploying files to AppDir root using desktop file: 
AppDir/usr/share/applications/cin.desktop
Deploying desktop file to AppDir root: 
AppDir/usr/share/applications/cin.desktop
Creating symlink for file AppDir/usr/share/applications/cin.desktop 
in/as AppDir
Deploying icon to AppDir root: 
AppDir/usr/share/icons/hicolor/scalable/apps/cin.svg
Creating symlink for file 
AppDir/usr/share/icons/hicolor/scalable/apps/cin.svg in/as AppDir
Deploying AppRun symlink for executable in AppDir root: AppDir/usr/bin/cin
Creating symlink for file AppDir/usr/bin/cin in/as AppDir/AppRun
Found appimagetool: /usr/local/bin/appimagetool-x86_64.AppImage
Running command: /usr/local/bin/appimagetool-x86_64.AppImage 
"appimagetool" "AppDir" "


Thanks, I think I got AppImage(?) built and it seemingly runs OK.

That is when I found the CinGG executable file, because I expected a 
file somewhere with a name "CinGG*.AppImage"

/Cin # file -sh AppDir/*
AppDir/AppRun:      symbolic link to usr/bin/cin
AppDir/cin.desktop: symbolic link to usr/share/applications/cin.desktop
AppDir/cin.svg:     symbolic link to 
usr/share/icons/hicolor/scalable/apps/cin.svg
AppDir/usr:         directory


Cin # du -sh AppDir
216M    AppDir

/Cin # du -sh AppDir/*/*
198M    AppDir/usr/bin
19M    AppDir/usr/lib
100K    AppDir/usr/share


/Cin # AppDir/usr/bin/cin
Cinelerra Infinity - built: Nov 20 2024 22:06:05
.......
BC_DisplayInfo::gl_fb_config failed
build plugin index for: /home/cinelerra/cinelerra-5.1/AppDir/usr/bin/plugins
PluginFFilter::new_ffilter(overlay_qsv)
   err: Input/output error
PluginFFilter::new_ffilter(hstack_qsv)
   err: Operation not permitted
PluginFFilter::new_ffilter(vstack_qsv)
   err: Operation not permitted
PluginFFilter::new_ffilter(xstack_qsv)
   err: Operation not permitted
build lv2 index for: $CIN_PATH/lv2
build ladspa plugin index for: 
/home/cinelerra/cinelerra-5.1/AppDir/usr/bin/ladspa

Loaded hdv09_04.m2t (tff interlaced)
Tested rendering using preset hevc_qsv_10b420 which worked fine

libva info: VA-API version 1.22.0
libva info: Trying to open /usr/lib64/dri/iHD_drv_video.so
libva info: Found init function __vaDriverInit_1_22
libva info: va_openDriver() returns 0
libva info: VA-API version 1.22.0
libva info: Trying to open /usr/lib64/dri/iHD_drv_video.so
libva info: Found init function __vaDriverInit_1_22
libva info: va_openDriver() returns 0
Render::render_single: Session finished.
** rendered 5972 frames in 19.320 secs, 309.110 fps

---------------------------

So some questions when comparing the above AppDir result with the 
pre-build Appimage file I download to and run from


du -sh ~/Applications/Cin*
171M    CinGG-20241031-x86_64.AppImage

./CinGG-20241031-x86_64.AppImage

I notice the prebuild has no symlink as in the above AppDir

My own built appimage has not startup errors:

(AppImageLauncher:127697): GdkPixbuf-CRITICAL **: 23:56:28.831: 
gdk_pixbuf_get_rowstride: assertion 'GDK_IS_PIXBUF (pixbuf)' failed


I wonder the larger total space 216M vs 171M is due to oneVPL and maybe 
some other additional libs ?

How to possibly build an equivalent single AppImage file directly?









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