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Autres articles (78)

  • 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.

  • Le profil des utilisateurs

    12 avril 2011, par

    Chaque utilisateur dispose d’une page de profil lui permettant de modifier ses informations personnelle. Dans le menu de haut de page par défaut, un élément de menu est automatiquement créé à l’initialisation de MediaSPIP, visible uniquement si le visiteur est identifié sur le site.
    L’utilisateur a accès à la modification de profil depuis sa page auteur, un lien dans la navigation "Modifier votre profil" est (...)

  • Submit bugs and patches

    13 avril 2011

    Unfortunately a software is never perfect.
    If you think you have found a bug, report it using our ticket system. Please to help us to fix it by providing the following information : the browser you are using, including the exact version as precise an explanation as possible of the problem if possible, the steps taken resulting in the problem a link to the site / page in question
    If you think you have solved the bug, fill in a ticket and attach to it a corrective patch.
    You may also (...)

Sur d’autres sites (8314)

  • FFmpeg : Different color brightness converting mov to mp4 with alpha

    3 août 2023, par Miguel Zafra

    I am using this code :

    


    ffmpeg -i in.mov -c:v hevc_videotoolbox -allow_sw 1 -alpha_quality 0.9 -tag:v hvc1 -q:v 100 -vf premultiply=inplace=1 out-n.mp4


    


    To convert my MOV with alpha to MP4 with alpha for a web use. However the export color is different.

    


    Original :

    


    enter image description here

    


    MP4 Export :

    


    enter image description here

    


    Any idea of how can I keep the original MOV colors ?

    


    Thank you

    


  • Improving accuracy of Google Cloud Speech API

    17 août 2018, par Shaikat Haque

    I am currently recording audio from a web page on my Mac OS computer and running it through the cloud speech api to produce a transcript. However, the results aren’t that accurate and there are chunks of missing words in the results.

    Are there any steps that would help me yield more accurate results ?

    Here are the steps I am taking to convert audio to text :

    1. Use Soundflower to channel audio output from my soundcard to mic in.
    2. Play audio from website
    3. Use quickTime player to record audio which is saved as a .m4a file.
    4. Use the command line tool ffmpeg to convert the .m4a file to a
      .flac, and also combine 2 audio channels (stereo) to 1 audio channel (mono).
    5. Upload the .flac file to Google Cloud Storage. The file has a sample rate of 44100Hz and has 24 bits per sample.
    6. Use the longRunningRecognize api via the node.js client library,
      pointing to the file in Google cloud storage.

  • Google Colab Runtime Error please install ffmpeg (version 4.2 is currently supported) andbuild torchvision from source

    4 juillet 2021, par Iman

    I'm using Google Colab to write a program using torch vision to extract frames from an mp4 video in my google drive. Thus far, I haven't wrote the full code yet but have been experimenting with torch vision.io library. Upon running the code, I get the following errors.

    


    Mounted at /content/gdrive&#xA;---------------------------------------------------------------------------&#xA;RuntimeError                              Traceback (most recent call last)&#xA; in <module>()&#xA;      6 &#xA;      7 video_path = "/content/drive/MyDrive/Training-Data-Videos/MASKED/00_MASKED_0_0.mp4"&#xA;----> 8 reader = torchvision.io.VideoReader(video_path, "video")&#xA;      9 reader.seek(2.0)&#xA;     10 frame = next(reader)&#xA;&#xA;/usr/local/lib/python3.7/dist-packages/torchvision/io/__init__.py in __init__(self, path, stream)&#xA;    106                 &#x2B; "to enable video_reader support, please install "&#xA;    107                 &#x2B; "ffmpeg (version 4.2 is currently supported) and"&#xA;--> 108                 &#x2B; "build torchvision from source."&#xA;    109             )&#xA;    110         self._c = torch.classes.torchvision.Video(path, stream)&#xA;&#xA;RuntimeError: Not compiled with video_reader support, to enable video_reader support, please install ffmpeg (version 4.2 is currently supported) andbuild torchvision from source.&#xA;&#xA;</module>

    &#xA;

    The code that I have written in the notebook so far is the following :

    &#xA;

    import os &#xA;import torchvision &#xA;from google.colab import drive&#xA;drive.mount(&#x27;/content/gdrive&#x27;, force_remount=True)&#xA;&#xA;video_path = "/content/drive/MyDrive/Training-Data-Videos/MASKED/00_MASKED_0_0.mp4"&#xA;reader = torchvision.io.VideoReader(video_path, "video")&#xA;reader.seek(2.0)&#xA;frame = next(reader)&#xA;print (frame)&#xA;&#xA;

    &#xA;

    To solve the problem, I tried to install ffmpeg on colab as this post says but it did not work. Can someone tell me what is the error ?

    &#xA;

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