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  • MediaSPIP version 0.1 Beta

    16 avril 2011, par

    MediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
    Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
    Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
    Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)

  • 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 (...)

  • Mise à jour de la version 0.1 vers 0.2

    24 juin 2013, par

    Explications des différents changements notables lors du passage de la version 0.1 de MediaSPIP à la version 0.3. Quelles sont les nouveautés
    Au niveau des dépendances logicielles Utilisation des dernières versions de FFMpeg (>= v1.2.1) ; Installation des dépendances pour Smush ; Installation de MediaInfo et FFprobe pour la récupération des métadonnées ; On n’utilise plus ffmpeg2theora ; On n’installe plus flvtool2 au profit de flvtool++ ; On n’installe plus ffmpeg-php qui n’est plus maintenu au (...)

Sur d’autres sites (9133)

  • AttributeError : '_io.BytesIO' object has no attribute 'endswith' when attempting to check audio and video codec from base64 video file in Django

    12 novembre 2023, par mahmudsajib

    I'm currently working on a Django project where I need to check the audio and video codec of a base64-encoded video file. To achieve this, I've implemented a function that decodes the base64 string into binary data and then attempts to load the video clip using MoviePy. However, I'm encountering an AttributeError : '_io.BytesIO' object has no attribute 'endswith' when trying to run the code.

    


    Here's the relevant part of the code :

    


    import base64
from io import BytesIO
from moviepy.editor import VideoFileClip

def get_video_codec_info(base64_data):
    # Decode base64 string into binary data
    _format, _file_str = base64_data.split(";base64,")
    binary_data = base64.b64decode(_file_str)

    # Load the video clip using MoviePy
    clip = VideoFileClip(BytesIO(binary_data))

    # Get information about the video codec
    codec_info = {
        'video_codec': clip.video_codec,
        'audio_codec': clip.audio_codec,
    }

    return codec_info


    


    The error occurs at the line clip = VideoFileClip(BytesIO(binary_data)) and it seems related to the use of BytesIO. I've tried to find a solution, but I'm stuck at the moment.

    


    Any suggestions on how to resolve this issue or alternative approaches to check the audio and video codec of a base64-encoded video file in Django would be greatly appreciated. Thanks !

    


  • converting one video file to another video file with sound from ffmpeg using vc++2010 [closed]

    18 février 2013, par user2047514

    I am devloping a application that convert one video to another including sound (means in source file has video as well as sound) with the help of FFMPEG Librrary. I have created a video. But sound is not availabe in converted video. so please help me how can i fix this issue. I am sending You link .

    FFmpeg not honoring bitrate for different containers ?
    i have used this code for doing my work but sound is not availble. so please help my how can we handle this situation.

    Thanks for your cooperation
    Waiting your response.

  • In my django app, celery task converts uploaded video w/ ffmpeg, but converted video won't save to s3 ?

    29 janvier 2013, par GetItDone

    I use Heroku to host my website, and Amazon s3 to store my static and media files. I have a celery task that converts the video file to flv, but the flv doesn't store anywhere. There isn't any error, just there is no file uploaded to my s3 bucket. How can I force the file to save to my s3 bucket after the conversion ? I'm still pretty new web development in general, and I have been stuck trying to get my video conversion working properly for weeks. To be honest, I'm not even sure that I'm doing the right thing with my task. Here is the code in my celery task :

    @task(name='celeryfiles.tasks.convert_flv')
    def convert_flv(video_id):
       video = VideoUpload.objects.get(pk=video_id)
       filename = video.video_upload
       sourcefile = "%s%s" % (settings.MEDIA_URL, filename)
       vidfilename = "%s.flv" % video.id
       targetfile = "%svideos/flv/%s" % (settings.MEDIA_URL, vidfilename)
       ffmpeg = "ffmpeg -i %s -ar 22050 -f flv -s 320x240 %s" % (sourcefile, targetfile)
       #The next lines are code that I couldn't get to work in place of the line above, and are left commented out.
       #I am open to suggestions or alternatives for this also.
       #ffmpeg = "ffmpeg -i %s -acodec libmp3lame -ar 22050 -f flv -s 320x240 %s" % (sourcefile, targetfile)
       #ffmpeg = "ffmpeg -i %s -acodec mp3 -ar 22050 -f flv -s 320x240 %s" % (sourcefile, targetfile)
       try:
           ffmpegresult = commands.getoutput(ffmpeg)
           print "---------------FFMPEG---------------"
           print "FFMPEGRESULT: %s" % ffmpegresult
       except Exception as e:
           ffmpegresult = None
           print("Failed to convert video file %s to %s" % (sourcefile, targetfile))
           print(traceback.format_exc())
       video.flvfilename = vidfilename
       video.save()

    My view :

    def upload_video(request):
       if request.method == 'POST':
           form = VideoUploadForm(request.POST, request.FILES)
           if form.is_valid():
               video_upload=form.save()
               video_id=video_upload.id
               video_conversion = convert_flv.delay(video_id)
               return HttpResponseRedirect('/current_classes/')
       else:
       ...

    Any advice, insight, or ideas in general would be greatly appreciated. Obviously I am missing something, but I can't figure out what. I have been stuck with different aspects of getting my video conversion to work with ffmpeg using a celery task for weeks. Thanks in advance.