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Granite de l’Aber Ildut
9 septembre 2011, par
Mis à jour : Septembre 2011
Langue : français
Type : Texte
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Géodiversité
9 septembre 2011, par ,
Mis à jour : Août 2018
Langue : français
Type : Texte
Autres articles (58)
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La file d’attente de SPIPmotion
28 novembre 2010, parUne file d’attente stockée dans la base de donnée
Lors de son installation, SPIPmotion crée une nouvelle table dans la base de donnée intitulée spip_spipmotion_attentes.
Cette nouvelle table est constituée des champs suivants : id_spipmotion_attente, l’identifiant numérique unique de la tâche à traiter ; id_document, l’identifiant numérique du document original à encoder ; id_objet l’identifiant unique de l’objet auquel le document encodé devra être attaché automatiquement ; objet, le type d’objet auquel (...) -
Demande de création d’un canal
12 mars 2010, parEn fonction de la configuration de la plateforme, l’utilisateur peu avoir à sa disposition deux méthodes différentes de demande de création de canal. La première est au moment de son inscription, la seconde, après son inscription en remplissant un formulaire de demande.
Les deux manières demandent les mêmes choses fonctionnent à peu près de la même manière, le futur utilisateur doit remplir une série de champ de formulaire permettant tout d’abord aux administrateurs d’avoir des informations quant à (...) -
Contribute to documentation
13 avril 2011Documentation is vital to the development of improved technical capabilities.
MediaSPIP welcomes documentation by users as well as developers - including : critique of existing features and functions articles contributed by developers, administrators, content producers and editors screenshots to illustrate the above translations of existing documentation into other languages
To contribute, register to the project users’ mailing (...)
Sur d’autres sites (6038)
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Stream H264 raw data on RTSP server
1er janvier, par AitazazI have H264 hex string data saved in a list.
The data is in correct format as it is being received, I am trying to stream it to RTSP server.


I have stream the data in realtime as it is from a dashcam.


The RTSP server is deployed but when I stream frames to it, the connection is created and then ends in an instant (does not last for a second)


The code is mentioned below which performs this streaming task.


def h264_stream_to_rtsp(data_list, rtsp_url):
 try:
 ffmpeg_command = [
 "ffmpeg", 
 "-f", "h264",
 "-i", "-",
 "-vcodec", "libx264",
 "-preset", "fast",
 "-f", "rtsp",
 "-analyzeduration", "5000000",
 "-probesize", "5000000", 
 rtsp_url # The RTSP URL to stream to
 ]
 
 ffmpeg_process = subprocess.Popen(ffmpeg_command, stdin=subprocess.PIPE)

 for index, hex_data in enumerate(data_list):
 # print(f"Processing hex data {index + 1}/{len(data_list)}...")

 if len(hex_data) % 2 != 0:
 hex_data = '0' + hex_data # Append a leading zero if length is odd

 binary_data = binascii.unhexlify(hex_data)

 ffmpeg_process.stdin.write(binary_data)

 ffmpeg_process.stdin.close()

 ffmpeg_process.wait()
 print("Stream completed.")

 except KeyboardInterrupt:
 print("Stopping live stream.")
 except Exception as e:
 print(f"Error: {e}")


Logs from the RTSP server are mentioned below :


2025/01/01 10:56:04 INF [RTSP] [conn 20.174.9.78:35474] opened
2025/01/01 10:56:04 INF [RTSP] [session 1d2bb871] created by 20.174.9.78:35474
2025/01/01 10:56:04 INF [RTSP] [session 1d2bb871] is publishing to path 'live', 1 track (H264)
2025/01/01 10:56:04 INF [RTSP] [session 1d2bb871] destroyed: torn down by 20.174.9.78:35474
2025/01/01 10:56:04 INF [RTSP] [conn 20.174.9.78:35474] closed: EOF
2025/01/01 10:56:48 INF [RTSP] [conn 20.174.9.78:54448] opened
2025/01/01 10:56:48 INF [RTSP] [session b6a95e71] created by 20.174.9.78:54448
2025/01/01 10:56:48 INF [RTSP] [session b6a95e71] is publishing to path 'live', 1 track (H264)
2025/01/01 10:56:48 INF [RTSP] [session b6a95e71] destroyed: torn down by 20.174.9.78:54448


How can I stream continuously ?


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Can I use the file buffer or stream as input for fluent-ffmpeg ? I am trying to avoid saving the video locally to get its path before removing
22 avril 2023, par Moath ThawahrehI am receiving the file via an api, I was trying to process the file.buffer as input for FFmpeg but it did not work, I had to save the video locally first and then process the path and remove the saved video later on.
I don't want to believe that there is no other way to solve this and I have been looking for solutions and workarounds but it was all about ffmpeg input as a path.


I would love to find a solution using fluent-ffmpeg because it has some other great features, but I won't mind any suggestions for compressing the video using any different approaches if it's more efficient


Again my code below works fine but I have to save the video and then remove it I am hoping for a more efficient solution :


fs.writeFileSync('temp.mp4', file.buffer);

 // Resize the temporary file using ffmpeg
 ffmpeg('temp.mp4') // here I tried pass file.buffer as readable stream,it receives paths only 
 .format('mp4')
 .size('50%')
 .save('resized.mp4')
 .on('end', async () => {
 // Upload the resized file to Firebase
 const resizedFileStream = bucket.file(`video/${uniqueId}`).createWriteStream();
 fs.createReadStream('resized.mp4').pipe(resizedFileStream);

 await new Promise<void>((resolve, reject) => {
 resizedFileStream
 .on('finish', () => {
 // Remove the local files after they have been uploaded
 fs.unlinkSync('temp.mp4');
 fs.unlinkSync('resized.mp4');
 resolve();
 })
 .on('error', reject);
 });

 // Get the URL of the uploaded resized version
 const resizedFile = bucket.file(`video/${uniqueId}`);
 const url = await resizedFile.getSignedUrl({
 action: 'read',
 expires: '03-17-2025', // Change this to a reasonable expiration date
 });

 console.log('Resized file uploaded successfully.');
 })
 .on('error', (err) => {
 console.log('An error occurred: ' + err.message);
 });
</void>

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FFmpeg get frame rate
22 septembre 2021, par zhin dinsI have several images and I am reproducing them in 78.7ms, I am creating like the 80s video effect. But, I am unable to find the correct ms, and this images with the original videos are unsync.


I dumped the video to images using this command => ffmpeg -i *.mp4 the80effect/img-%d.jpg And now, I have 48622 frames. The video FPS is 24


So, 48622/24 = 2025 +- I cannot use 2025ms since those images will load very slow. And the and the approximate value is 78.7ms per frame/image


How can I find the correct value ? The video duration in seconds is 2026. I have tried all math to find this but I'm failing. How many images (one frame) per msCould you help me ? Thank you.


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