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Autres articles (97)

  • MediaSPIP 0.1 Beta version

    25 avril 2011, par

    MediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
    The zip file provided here only contains the sources of MediaSPIP in its standalone version.
    To get a working installation, you must manually install all-software dependencies on the server.
    If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...)

  • Use, discuss, criticize

    13 avril 2011, par

    Talk to people directly involved in MediaSPIP’s development, or to people around you who could use MediaSPIP to share, enhance or develop their creative projects.
    The bigger the community, the more MediaSPIP’s potential will be explored and the faster the software will evolve.
    A discussion list is available for all exchanges between users.

  • MediaSPIP Player : problèmes potentiels

    22 février 2011, par

    Le lecteur ne fonctionne pas sur Internet Explorer
    Sur Internet Explorer (8 et 7 au moins), le plugin utilise le lecteur Flash flowplayer pour lire vidéos et son. Si le lecteur ne semble pas fonctionner, cela peut venir de la configuration du mod_deflate d’Apache.
    Si dans la configuration de ce module Apache vous avez une ligne qui ressemble à la suivante, essayez de la supprimer ou de la commenter pour voir si le lecteur fonctionne correctement : /** * GeSHi (C) 2004 - 2007 Nigel McNie, (...)

Sur d’autres sites (9085)

  • Revision 8b175679be : Masking intra mode choice adaptively The commit changes to mask available intra

    11 octobre 2013, par Yaowu Xu

    Changed Paths :
     Modify /vp9/encoder/vp9_onyx_if.c


     Modify /vp9/encoder/vp9_onyx_int.h


     Modify /vp9/encoder/vp9_rdopt.c



    Masking intra mode choice adaptively

    The commit changes to mask available intra prediction modes for test
    based on prediction block size.

    With this patch, encoding time of CpuUsed 2 reduces from 10% to 20% for
    HD clips with a compression drop of 0.2%

    Change-Id : I65f320f1237c0f5ae3a355bf7caf447f55625455

  • When I tried to install react-native-ffmpeg, Build getting failed throwing error

    1er juillet 2020, par srinivas
    Version Using
compileSdkVersion 29
buildToolsVersion "26.0.0"


    


    What went wrong :
Could not determine the dependencies of task ':react-native-ffmpeg:compileDebugAidl'.
 width='300' height='172' /> Could not resolve all task dependencies for configuration ':react-native-ffmpeg:debugCompileClasspath'.

    


    


    Could not find com.arthenica:mobile-ffmpeg-com.febbler:4.3.1.
Required by :
project :react-native-ffmpeg

    


    


  • Transcription via OpenAi's whisper : AssertionError : incorrect audio shape

    1er avril 2024, par muratowski

    I'm trying to use OpenAI's open source Whisper library to transcribe audio files.

    


    Here is my script's source code :

    


    import whisper

model = whisper.load_model("large-v2")

# load the entire audio file
audio = whisper.load_audio("/content/file.mp3")
#When i write that code snippet here ==> audio = whisper.pad_or_trim(audio) the first 30 secs are converted and without any problem they are converted.

# make log-Mel spectrogram and move to the same device as the model
mel = whisper.log_mel_spectrogram(audio).to(model.device)

# detect the spoken language
_, probs = model.detect_language(mel)
print(f"Detected language: {max(probs, key=probs.get)}")

# decode the audio
options = whisper.DecodingOptions(fp16=False)
result = whisper.decode(model, mel, options)

# print the recognized text if available
try:
    if hasattr(result, "text"):
        print(result.text)
except Exception as e:
    print(f"Error while printing transcription: {e}")

# write the recognized text to a file
try:
    with open("output_of_file.txt", "w") as f:
        f.write(result.text)
        print("Transcription saved to file.")
except Exception as e:
    print(f"Error while saving transcription: {e}")


    


    In here :

    


    # load the entire audio file
audio = whisper.load_audio("/content/file.mp3")


    


    when I write below : " audio = whisper.pad_or_trim(audio) ", the first 30 secs of the sound file is transcribed without any problem and language detection works as well,

    


    but when I delete it and want the whole file to be transcribed, I get the following error :

    


    


    AssertionError : incorrect audio shape

    


    


    What should I do ? Should I change the structure of the sound file ? If yes, which library should I use and what type of script should I write ?

    


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