Recherche avancée

Sur d’autres sites (4328)

• How to split and scale streams in ffmpeg with cuda ?

  30 décembre 2020, par Samyak

  So, I want to create streams of multiple resolutions for hls streaming. Here's what I've tried so far :

  


  ffmpeg -vsync 0 -hwaccel cuvid -i input.mkv -c:a aac -c:v h264_nvenc \
-c:s webvtt -crf 20 -filter_complex \
'[v:0]hwupload_cuda,split=2[vtemp001][vout002]:[vtemp001]hwupload_cuda,scale_npp=w=960:h=540:format=yuv420p:interp_algo=lanczos,hwdownload,format=yuv420p[vout001]'  \
-map "[vout001]" -b:v:0 2000k -map "[vout002]" \
-b:v:1 6000k -map 0:v -map 0:a -map 0:s -map 0:v \ 
-map 0:a -map 0:s -var_stream_map 'v:0,a:0,s:0 v:1,a:1,s:1' \ 
-force_key_frames:v "expr:gte(t,n_forced*2.000)" -hls_time 6 -hls_playlist_type event -hls_flags \
delete_segments+independent_segments+discont_start+program_date_time \
-master_pl_name master.m3u8 -hls_segment_filename \
fire/segment_%v/file%06d.ts fire/stream_%v.m3u8


  


  Running this, I am getting the following error :

  


  Impossible to convert between the formats supported by the filter 
'graph 0 input from stream 0:0' and the filter 'auto_scaler_0'
Error reinitializing filters!
Failed to inject frame into filter network: Function not implemented
Error while processing the decoded data for stream #0:0


  


  When I do the same thing without gpu, I am getting an out of memory error which to me sounds like I can't do this without a gpu (i.e I have to run separate ffmpeg commands to get this to run on the CPU). Would love to know if anyone has any insights or suggestions.

  


  I tried something more easy to understand here :

  


  ffmpeg -vsync 0 -hwaccel cuvid -i input.mkv -c:v h264_nvenc -filter_complex \
'[v:0]hwupload_cuda,split=2[vtemp001][vout002];[vtemp001]hwupload_cuda,scale_npp=w=960:h=540:format=yuv420p:interp_algo=lanczos,hwdownload,format=yuv420p[vout001]' \
-map "[vout001]" -b:v:0 2000k output1.mkv -map "[vout002]" -b:v:1 6000k output2.mkv


  


  The above gives the same error which to me suggests that the issue is with the filter complex.

  


• Need help to remove repetitions or duplicated frams in my podcast videos

  19 décembre 2020, par Måns Bredelius

  I record videos in a strange way. When I record my podcast videos I often record in the same conversation twice within the same video.

  


  If you would look at it you would see and hear something like this.

  


  "I open the door I open the door and let him in".

  


  I open the door was recorded twice in this example. Currently, I am manually removing these things myself in DaVinci resolve afterward. But I have heard that FFMPEG and mpdecimate are things that could do some wonders here.

  


  I found a video on youtube and found this code
ffmpeg -i original_file.mp4 -vf mpdecimate -vsync vfr -acodec copy mpdecimated.mp4

  


  but nothing happened. Something did happen, it did do something, but nothing happened to my video.

  


  Would love some help.

  


• 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 !