
Recherche avancée
Médias (1)
-
Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (22)
-
Keeping control of your media in your hands
13 avril 2011, parThe vocabulary used on this site and around MediaSPIP in general, aims to avoid reference to Web 2.0 and the companies that profit from media-sharing.
While using MediaSPIP, you are invited to avoid using words like "Brand", "Cloud" and "Market".
MediaSPIP is designed to facilitate the sharing of creative media online, while allowing authors to retain complete control of their work.
MediaSPIP aims to be accessible to as many people as possible and development is based on expanding the (...) -
Submit bugs and patches
13 avril 2011Unfortunately 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 (...) -
Organiser par catégorie
17 mai 2013, parDans MédiaSPIP, une rubrique a 2 noms : catégorie et rubrique.
Les différents documents stockés dans MédiaSPIP peuvent être rangés dans différentes catégories. On peut créer une catégorie en cliquant sur "publier une catégorie" dans le menu publier en haut à droite ( après authentification ). Une catégorie peut être rangée dans une autre catégorie aussi ce qui fait qu’on peut construire une arborescence de catégories.
Lors de la publication prochaine d’un document, la nouvelle catégorie créée sera proposée (...)
Sur d’autres sites (5086)
-
Carrierwave watermark a movie
15 mai 2016, par FelixI’m uploading a movie with carrierwave to amazon S3. While uploading I want to watermark the movie.
How can I do this ? How can I use stermio-ffmpeg while uploading ?
I’m using a Rails application.
-
FFMPEG failing in AWS Lambda
18 février 2019, par Zaid AmirI am trying to create a transcoding function for short videos. The function is hosted on AWS Lambda. The problem is that AWS lambda seems to be missing something that FFMPEG requires, at least according to Amazon.
I contacted Amazon earlier and this is their response to the issue :
We found that the FFMPEG operations require at least libx264 and an
acc library, both of which will have dependencies of their own. To
troubleshoot the issue it will involve diving deeper into the full
dependency chain. We can see that it works in the Amazon Linux
environment however, the environment is similar but not identical to
the lambda environment. There can be some dependencies that exist in
Amazon Linux but not in lambda environment as Lambda runs on the
container. Here, as FFmpeg is a third party software, diving deeper
into the dependency chain and verifying the version compatibilities is
very hard to do. Unfortunately going further, this is bound to go into
architecture and code support which is out of AWS Support scope 1. I
hope you understand our limitations. However should FFmpeg support
have any questions specific to the Lambda platform, please do let us
know and we will be happy to assist. We will be in better position to
investigate further once you receive an update from the FFmpeg support
suggesting an issue from Lambda end.Upon AWS suggestion, I contacted FFMPEG on the developers mailing list, my message was rejected with the reason being that its more suited to ffmpeg users mailing list than developers. I sent an email to ’ffmpeg-user@ffmpeg.org’ a week ago and did not get any response yet.
I then went and built a dynamically linked ffmpeg version making sure to package all libraries, checked ddl on each one, then made a small lambda function that looped over all binaries and ddled each one of them, compared that to the output I got from Amazon Linux and the same dependencies/versions exists on both lambda and the AWS Linux instance yet ffmpeg still fails on lambda.
You can find a detailed log file here : https://www.datafilehost.com/d/6e5e21bb
And this is a sample of the errors I’m getting, repeated across the entire log file :
2018-08-14T12:27:10.874Z [h264 @ 0x65c2fc0] concealing 2628 DC, 2628
AC, 2628 MV errors in P frame2018-08-14T12:27:10.874Z [aac @ 0x65d2f00] channel element 2.11 is not
allocated2018-08-14T12:27:10.874Z Error while decoding stream #0:1 : Invalid
data found when processing input2018-08-14T12:27:10.874Z [h264 @ 0x67e86c0] Invalid NAL unit size
(108085662 > 1649).2018-08-14T12:27:10.874Z [h264 @ 0x67e86c0] Error splitting the input
into NAL units.2018-08-14T12:27:10.874Z [aac @ 0x65d2f00] channel element 2.0 is not
allocated2018-08-14T12:27:10.874Z Error while decoding stream #0:1 : Invalid
data found when processing input2018-08-14T12:27:10.874Z [h264 @ 0x68189c0] Invalid NAL unit size
(71106974 > 1085).2018-08-14T12:27:10.874Z [h264 @ 0x68189c0] Error splitting the input
into NAL units.2018-08-14T12:27:10.874Z [aac @ 0x65d2f00] Pulse tool not allowed in
eight short sequence.This log is generated when trying to perform an HLS transcoding on this file : https://www.datafilehost.com/d/999a4492
Note that the issue is not related to that file alone nor is it related to HLS, its general and happen on all videos and any ffmpeg command that tries to seek the stream, even tried extracting a single frame from a video using the simplest form possible for example :
ffmpeg -ss 00:00:02 -I file.mp4 -vframes 1 -y output.jpg
also fails with the same errors in the log file.Not sure how to debug this further. Tried enabling debug logs with ‘-loglevel debug’ but did not give me any extra info. Any help or suggestions
-
Unable to get a continuous video of last N seconds using ffmpeg [duplicate]
28 juin 2021, par trycatch22I am trying to create a dashcam from an RTSP streaming device using ffmpeg (in Python). I have it working, but I am losing a small bit of video between stopping a file and starting a new file.


My pseudocode looks like this :


Start recording in 5s increments
while True:
 now = get current time
 if now > split:
 stop recording
 start recording with new file name



At any point when I send a trigger, I wait (up to 5s) for the current file to be written to disk, and then I stitch the required number of files to get a video of the desired length. The issue is that I am losing time between the stop and the start.


I am starting a new file like so :


process_cmd = "ffmpeg -y -loglevel panic -i rtsp://{}:{}@{} -vf scale={}:{} -t {} {}".format(self._rtsp_login, self._rtsp_pwd, self._rtsp_server, self._width, self._height,self._rtsp_video_duration,output_file)
self._process_handle = subprocess.Popen(process_cmd, shell=True)



I am waiting for the video to be done recording by :


self._process_handle.wait()



What's a cleaner way to do this ? One option would be to write a longer file and then use ffmpeg to extract the desired N seconds from it.


proc = subprocess.Popen("ffmpeg -y -i rtsp://admin:ambi1234@192.168.1.200 -profile:v high -pix_fmt nv12 -b:v 15M -acodec aac out.mp4", stdin=subprocess.PIPE,shell=True)



This requires me to stop the recording first by sending 'q' to the process and then :


subprocess.Popen("ffmpeg -y -sseof -00:00:3 -i out.mp4 -vcodec copy -acodec copy test.mp4", shell=True)



But that source file (out.mp4) would have to be cleaned up every so often and if an event happens at that point, then I won't be able to capture the data.