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Revolution of Open-source and film making towards open film making
6 octobre 2011, par
Mis à jour : Juillet 2013
Langue : English
Type : Texte
Autres articles (52)
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Qualité du média après traitement
21 juin 2013, parLe bon réglage du logiciel qui traite les média est important pour un équilibre entre les partis ( bande passante de l’hébergeur, qualité du média pour le rédacteur et le visiteur, accessibilité pour le visiteur ). Comment régler la qualité de son média ?
Plus la qualité du média est importante, plus la bande passante sera utilisée. Le visiteur avec une connexion internet à petit débit devra attendre plus longtemps. Inversement plus, la qualité du média est pauvre et donc le média devient dégradé voire (...) -
Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page.
Sur d’autres sites (13162)
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In Python, why do 'writer' is considered to be as an unexpected keyword argument for save
23 mars 2014, par StrömungsmechanikI would like to save an animation using the function save in Python. During compilation, I get the following message :
anim.save('mymovie.mp4',writer="ffmpeg")
TypeError: save() got an unexpected keyword argument 'writer'Please note that I have installed successfully FFmpeg. Here is a minimal working environment :
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation
from numpy import pi
X,Y = np.meshgrid(np.arange(0,2*np.pi,.2),np.arange(0,2*np.pi,.2) )
U = np.cos(X)
V = np.sin(Y)
fig,ax = plt.subplots(1,1)
Q = ax.quiver( X, Y, U, V, pivot='mid', color='r', units='inches')
ax.set_xlim(0, 2*pi)
ax.set_ylim(0, 2*pi)
def update_quiver(num, Q, X, Y):
U = np.cos(X + num*0.1)
V = np.sin(Y + num*0.1)
Q.set_UVC(U,V)
return Q,
anim = animation.FuncAnimation(fig, update_quiver, fargs=(Q, X, Y),
interval=10, blit=False)
anim.save('mymovie.mp4',writer="ffmpeg") -
How to save media files to Heroku local storage with Django ?
25 juillet 2022, par Diyan KalaydzhievIm having a Django REST app with React for client. Im recording a file with React and sending in to Django. When i save it i modify it with ffmpeg and save it again in the same folder with a new name, the ffmpeg command looks like this :


os.system(f"ffmpeg -i {audio_path} -ac 1 -ar 16000 {target_path}")


Because i need a path for my audio both for opening and saving, i can't use cloud stores like "Bucket S3, Cloudinary etc.". And the fact that im using it only for a few seconds and then deleting it makes Heroku (the app is deployed there) the perfect place to save it non-persistent. The problem is that the file isn't getting saved in my library with media files. It saves in the postgre db but doesn't in my filesystem and when i try to access it my program returns that there isn't a file with that name. My question is How can i save media files in Heroku file system and how to access them ?


settings.py


MEDIA_ROOT = os.path.join(BASE_DIR,'EmotionTalk/AI_emotion_recognizer/recordings')
MEDIA_URL = '/'



urls.py


urlpatterns = [
path('admin/', admin.site.urls),
path('', include('EmotionTalk.emotion_talk_app.urls')),
path('auth/', include('EmotionTalk.auth_app.urls')),
path('api-token-auth/', views.obtain_auth_token),
] + static(settings.STATIC_URL, document_root=settings.STATIC_ROOT) \
+ static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)



views.py


def post(self, request):
 file_serializer = RecordingSerializer(data=request.data)

 if file_serializer.is_valid():
 file_serializer.save()

 file_name = file_serializer.data.get('recording')
 owner_id = file_serializer.data.get('owner_id')

 current_emotions_count = len(Profile.objects.get(user_id=owner_id).last_emotions)

 print(file_name)
 recognize_emotion.delay(file_name, owner_id)

 return Response({
 'data': file_serializer.data,
 'current_emotions_count': current_emotions_count
 }, status=status.HTTP_201_CREATED)

 return Response(file_serializer.errors, status=status.HTTP_400_BAD_REQUEST)



tasks.py


def parse_arguments(filename):
import argparse
parser = argparse.ArgumentParser()

new_filename = filename.lstrip('v')

parser.add_argument("audio_path")
parser.add_argument("target_path")

args = parser.parse_args([f'EmotionTalk/AI_emotion_recognizer/recordings/{filename}',
 f'EmotionTalk/AI_emotion_recognizer/recordings/{new_filename}'])
audio_path = args.audio_path
target_path = args.target_path

if os.path.isfile(audio_path) and audio_path.endswith(".wav"):
 if not target_path.endswith(".wav"):
 target_path += ".wav"
 convert_audio(audio_path, target_path)
 return target_path
else:
 raise TypeError("The audio_path file you specified isn't appropriate for this operation")



parse_arguments is called from recognize_emotion


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How can I save the RAW rtp output file by ffmpeg
13 septembre 2016, par JeromyI have a problem that to save Output RTP as a file.
(Is that a possible ? Am I Right ?)Trans-coding goal as below :
1. Save the RTP stream to file in local storage using FFMPEG.
2. Input is file.
3. Output is RTP stream file.I`m using that.
./ffmpeg -re -i ../Video_Sample/03.Fashion_DivX720p_ASP_87s_1000k_720p.mp4 -c:v libx264 -b:v 1000k -preset superfast -an -f rtp -y test.rtp
But I got a message like that :
Could not write header for output file #0 (incorrect codec parameters ?) : Invalid argument
How can I fix it ?