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• Anomalie #4009 (Fermé) : Manque le champ date dans la table groupes_mots

  10 février 2021, par cedric -

  corrigé par https://git.spip.net/spip/spip/commit/c46b3749ce92c15cd7746da5132196547c3939a7 et https://git.spip.net/spip/mots/commit/c3ae7e8d4ca971ab3b6c27e6d4a35fdf74687755

• Anomalie #4009 : Manque le champ date dans la table groupes_mots

  19 mai 2019

  C’est un peu confusionnant de ne pas pouvoir prendre en compte les surnoms à cet endroit : @Eric vient d’avoir exactement le même problème que @nicod ici.
  Est-ce qu’on pourrait pas normaliser un minimum ?

  Quelque chose comme :

  <span class="CodeRay"><span class="local-variable">$surnoms</span> = objet_type_surnoms();
  <span class="local-variable">$objet</span> = !<span class="predefined">empty</span>(<span class="local-variable">$surnoms</span>[<span class="local-variable">$objet</span>]) ? <span class="local-variable">$surnoms</span>[<span class="local-variable">$objet</span>] : <span class="local-variable">$objet</span>;
  </span>
  Télécharger

• Is there an efficient way to use ffmpeg to create a huge quantity of small video file, cut from a larger one ?

  9 mars 2024, par Giuliano Oliveri

  I'm trying to cut video files into smaller chunks. (each one being one word said in the video, so they're not all of equal size)

  


  I've tried a lot of different approaches to try to be as efficient as possible, but I can't get the runtime to be under 2/3rd of the original video length. That's an issue because I'm trying to process 400+ hours of video.

  


  Is there a more efficient way to do this ? Or am I doomed to run this for weeks ?

  


  Here is the command for my best attempt so far

  


  ffmpeg -hwaccel cuda -hwaccel_output_format cuda -ss start_timestamp -t to_timestamp -i file_name -vf "fps=30,scale_cuda=1280:720" -c:v h264_nvenc -y output_file


  


  Note that the machine running the code has a 4090
This command is then executed via python, which gives it the right timestamps and file paths for each smaller clip in a for loop

  


  I think it's wasting a lot of time calling a new process each time, however I haven't been able to get better results with a split filter ; but here's the ffmpeg-python code for that attempt :

  


  Creation of the stream :

  


  inp = (
    ffmpeg
    .input(file_name, hwaccel="cuda", hwaccel_output_format="cuda")
    .filter("fps",fps=30)
    .filter('scale_cuda', '1280','720')
    .filter_multi_output('split')
)


  


  Which then gets called in a for loop

  


  (
    ffmpeg
    .filter(inp, 'trim', start=row[1]['start'], end=row[1]['end'])
    .filter('setpts', 'PTS-STARTPTS')
    .output(output_file,vcodec='h264_nvenc')
    .run()
)