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• h274 : remove optimization pragma

  25 août 2021, par Lynne

  h274 : remove optimization pragma
  This results in warnings on compilers which don't support it,
  
  objections were raised during the review process about it but went unnoticed,
  
  and the speed benefit is highly compiler and version specific, and
  
  also not very critical.
  We generally hand-write assembly to optimize loops like that, rather
  
  than use compiler magic, and for 40% best case scenario, it's simply
  
  not worth it.
  Plus, tree vectorization is still problematic with GCC and disabled by default
  
  for a good reason, so enabling it locally is sketchy.
  

  • [DH] libavcodec/h274.c

• Capturing stream that has multiple frames

  28 mai 2021, par cheese5505

  I'm trying to capture a stream that has multiple "frames" (not sure that's what you would call it but it has multiple 5 second streams inside of it) with FFmpeg and saving to file. When I put it into Quicktime player and play it works fine, however when I put it into FFmpeg and review the final file it seems that the audio and video are out of sync and the video frequently stops. I think this may be because it is stopping to switch to the new 5 second video but i'm not sure. This is the command I am using :

  



  ffmpeg \
    -v 9 \
    -loglevel 99 \
    -y \
    -re \
    -hwaccel auto \
    -threads 4 \
    -user-agent "Mozilla/5.0 (iPhone; U; CPU iPhone OS 3_0 like Mac OS X; en-us) AppleWebKit/528.18 (KHTML, like Gecko) Version/4.0 Mobile/7A341 Safari/528.16" \
    -i "url here" \
    -ac 2 \
    -strict -2 \
    -c:a aac \
    test.mov


  



  In the FFmpeg log this frequently happens :

  



  frame=  242 fps=102 q=29.0 size=     252kB time=00:00:06.33 bitrate= 325.9kbits/
frame=  279 fps= 96 q=29.0 size=     252kB time=00:00:07.57 bitrate= 272.8kbits/
frame=  301 fps= 87 q=29.0 size=     252kB time=00:00:08.30 bitrate= 248.7kbits/
frame=  319 fps= 79 q=29.0 size=     252kB time=00:00:08.90 bitrate= 231.9kbits/
frame=  338 fps= 74 q=29.0 size=     252kB time=00:00:09.54 bitrate= 216.5kbits/
frame=  354 fps= 70 q=29.0 size=     252kB time=00:00:10.07 bitrate= 205.0kbits/
skipping 5 segments ahead, expired from playlists
[https @ 0x7f9d81e10380] No trailing CRLF found in HTTP header.
frame=  355 fps= 51 q=29.0 size=     252kB time=00:00:10.11 bitrate= 204.3kbits/
[hls,applehttp @ 0x7f9d83001000] No longer receiving playlist 6
[hls,applehttp @ 0x7f9d83001000] No longer receiving playlist 7
[hls,applehttp @ 0x7f9d83001000] No longer receiving playlist 8
skipping 3 segments ahead, expired from playlists
[https @ 0x7f9d81f006a0] No trailing CRLF found in HTTP header.


  



  Any ideas how I could smooth out the final file would be greatly appreciated.

  


• Offline tracking in Matomo JavaScript Tracker – We need your feedback

  16 octobre 2020, par Matomo Core Team — Development, Uncategorized

  As part of our Matomo 4 release we are working on adding support for offline tracking using service workers (SW) and IndexedDB. An early version of this new feature is now available as part of our latest Matomo 4 beta and we now need your feedback to fix any outstanding issues.

  How does it work behind the scenes ?

  • The service worker caches the Matomo JavaScript tracker so if a user becomes offline on subsequent requests the JS tracker will be still loaded.
  • If a user is offline, any tracking request will be put into the local IndexedDB.
  • Once the user becomes online, all requests from the IndexedDB will be retried.

  How do I integrate offline tracking into my website or app ?

  Follow the steps in our FAQ on how to set up offline tracking. 

  We need your feedback

  We’d love to hear your feedback if this new feature is working for you or not. Simply leave a comment on the offline tracking issue and let us know if it worked for you, if something didn’t work, whether you miss any options or any other kind of feedback.

  Are you a service worker or IndexedDB pro ? We’d love if you could help us review our implementation. You can check out the code in the offline tracking pull request. We appreciate any feedback to help us improve this feature !

  Thank you for your help !