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Autres articles (106)
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Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
Encoding and processing into web-friendly formats
13 avril 2011, parMediaSPIP automatically converts uploaded files to internet-compatible formats.
Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
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3 novembre 2011, parSi les forums sont activés sur le site, les administrateurs ont la possibilité de les gérer depuis l’interface d’administration ou depuis l’article même dans le bloc de modification de l’article qui se trouve dans la navigation de la page.
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Sur d’autres sites (8379)
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converting a "gif" to video using swift
3 décembre 2019, par James WoodrowI’ve looked around and found a few things here and there, mainly that I should be using AVAssetWriter to do this but I have 0 experience with this and video editing/creation so it doesn’t help me much since I can’t seem to find anything that does something I can modify easily (or not at my level of knowledge at least) so that it works as I intend it to.
I have an app which takes
n
photos everycft
(capture frame time which I get from a backend server) seconds (it’s a double for obvious reasons) I then display these frames using a UIImageView and the frames change everydft
(display frame time which I also get from a backend server and can be different fromcft
). Up until this point nothing complicated.now what is currently the workflow is that these frames are sent back to a server with any relevant information I want and then the server would use imagemagick to create a real gif file and ffmpeg to create a 15 seconds video using said gif.
the issue is this makes it so that my heroku server bills aren’t as low as I would like because of the limited memory on the dynos and the time it takes to generate these videos is of about 5-10 seconds I believe (not sure but it’s longer than I’d like)
So the idea I had was to make the app create the video since he already has all the information he needs for this, and then simply upload it with the rest of the frames and relevant data. Using bandwidth nowadays is much cheaper than buying extra processing power on a server.
- he has
n
frames to loop over - he has a float value representing how long each frame should last
dft
- he has a gpu or at least a much better cpu than the dynos heroku have to offer
I’ve also looked around to see if anyone made an extensive tutorial on how to use ffmpeg in swift but I still didn’t find anything at my level and I didn’t even find a tutorial per se, only some GitHub projects which were partially completed and/or without the original tutorial linked to understand the thought process.
I would appreciate any tips/code sample/tutorials on the subject.
I’m adding the ffmpeg command line equivalent to what I would love to be able to do (if I could use ffmpeg directly with iOS this could be nice too)
ffmpeg -framerate 100/13 -loop 1 -i frame%02d.png -c:v libx264 -r 100/13 -pix_fmt yuv420p -t 0:15 instagram.mp4
where basically I did
100 / (dft * 100)
for the input frame rate and just output at the same fps for 15 seconds. by the way if there are any ways to optimise this command to make it run faster without losing quality I might be able to keep the current way of functioning with heroku although I would still prefer some iOS solution. - he has
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"Error configuring filters" FFmpeg issue while using Vogon
8 juillet 2018, par Jk425Prerequisites :
vogon, python 2.7, ffmpeg 2.3.6(newer versions caused + one more error :
"Error configuring complex filters" due to vogon outdate itself, i
suppose)sample_project/
├── adwords_video_csv.py
├── adwords_video_csv.pyc
├── assets
│ ├── car_ad.mp4
│ ├── README.txt
│ └── vogon.png
├── edit_config.py
├── output
│ └── README.txt
├── sample.csv
├── sample.json
├── sample_win.json
├── vogon.py
├── vogon.pyc
├── yt_upload.py
└── yt_upload.pycGetting such a message after executing command :
python vogon.py sample.json --noauth_local_webserver
Input #1, image2, from 'assets/vogon.png':
Duration: 00:00:00.04, start: 0.000000, bitrate: N/A
Stream #1:0: Video: png, rgba, 400x223 [SAR 2835:2835 DAR 400:223], 25 tbr, 25 tbn, 25 tbc
[Parsed_movie_1 @ 0x1b35480] Failed to avformat_open_input '/tmp/vogon_Ql9UW7.gif'
[AVFilterGraph @ 0x1af08e0] Error initializing filter 'movie' with args '/tmp/vogon_Ql9UW7.gif'
Error configuring filters.vogon.py -h:
positional arguments:
config_file Configuration JSON file
optional arguments:
-h, --help show this help message and exit
--auth_host_name AUTH_HOST_NAME
Hostname when running a local web server.
--noauth_local_webserver
Do not run a local web server.
--auth_host_port [AUTH_HOST_PORT [AUTH_HOST_PORT ...]]
Port web server should listen on.
--logging_level {DEBUG,INFO,WARNING,ERROR,CRITICAL}
Set the logging level of detail.
--youtube_upload Upload generated videos to YouTube
--preview_line PREVIEW_LINE
Generate only one video, for the given CSV line numberMakes me think it is an ffmgep issue. What could it be ?
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ffmpeg produces "is_avc" = false with h264_nvenc & tee muxer
14 août 2018, par Areeb111I am using ffmpeg for encoding MKV (Matroska Video files) to 2x MP4 (H264 - 720p Main@L4) & (H264 - 360p Baseline@L3.1).
Having really strange problem when using
-c:v h264_nvenc
andtee muxer
then the produced output file is havingis_avc=false
even i have checked the same input matroska file with another server running with Intel QuickSync-c:v h264_qsv
with the same command then the produced output file isis_avc=true
.The main goal that i want the
is_avc=true
is because the files must be played usingnginx-vod-module
which requires the AVC video format to be streamed.Steps to reproduce the problem :
- Custom ffmpeg build with NVENC support
ffmpeg version N-91182-gbdf1bbd Copyright (c) 2000-2018 the FFmpeg developers built with gcc 4.8.5 (GCC) 20150623 (Red Hat 4.8.5-28)
- ffprobe
version 4.0.2-static https://johnvansickle.com/ffmpeg/ Copyright (c) 2007-2018 the FFmpeg developers
- Running ffmpeg command line with NVENC and tee muxer
/root/ffmpeg -y -t 00:00:50 -i "testinput.mkv" -filter_complex "[0:v]split=2[s0][s1];[s0]scale=-2:720[v0];[s1]scale=-2:360[v1]" -map "[v0]" -map "[v1]" -map 0:a -c:v h264_nvenc -b:v:0 1100k -b:v:1 600k -profile:v:0 main -profile:v:1 baseline -level:v:0 4 -level:v:1 3.1 -ac 2 -c:a aac -b:a 128k -af "aresample=async=1000:first_pts=0" -f tee "[select=\'v:0,a\']testoutput.mp4|[select=\'v:1,a\']testoutput-360.mp4"
- Running ffprobe for the output file to check "is_avc" :
./ffprobe -v quiet -print_format json -show_format -show_streams testoutput.mp4
-
My current ffprobe output results are :
./ffprobe -v quiet -print_format json -show_format -show_streams testoutput.mp4
{
"streams": [
{
"index": 0,
"codec_name": "h264",
"codec_long_name": "H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10",
"profile": "Main",
"codec_type": "video",
"codec_time_base": "1001/48000",
"codec_tag_string": "avc1",
"codec_tag": "0x31637661",
"width": 1280,
"height": 720,
"coded_width": 1280,
"coded_height": 720,
"has_b_frames": 0,
"sample_aspect_ratio": "1:1",
"display_aspect_ratio": "16:9",
"pix_fmt": "yuv420p",
"level": 40,
"chroma_location": "left",
"refs": 1,
"is_avc": "false",
"nal_length_size": "0",
"r_frame_rate": "24000/1001",
"avg_frame_rate": "24000/1001",
"time_base": "1/24000",
"start_pts": 984,
"start_time": "0.041000",
"duration_ts": 1201200,
"duration": "50.050000",
"bit_rate": "845035",
"bits_per_raw_sample": "8",
"nb_frames": "1199",
"disposition": {
"default": 1,
"dub": 0,
"original": 0,
"comment": 0,
"lyrics": 0,
"karaoke": 0,
"forced": 0,
"hearing_impaired": 0,
"visual_impaired": 0,
"clean_effects": 0,
"attached_pic": 0,
"timed_thumbnails": 0
},
"tags": {
"language": "und",
"handler_name": "VideoHandler"
}
},
{
"index": 1,
"codec_name": "aac",
"codec_long_name": "AAC (Advanced Audio Coding)",
"profile": "LC",
"codec_type": "audio",
"codec_time_base": "1/48000",
"codec_tag_string": "mp4a",
"codec_tag": "0x6134706d",
"sample_fmt": "fltp",
"sample_rate": "48000",
"channels": 2,
"channel_layout": "stereo",
"bits_per_sample": 0,
"r_frame_rate": "0/0",
"avg_frame_rate": "0/0",
"time_base": "1/48000",
"start_pts": 0,
"start_time": "0.000000",
"duration_ts": 2401488,
"duration": "50.031000",
"bit_rate": "129153",
"max_bit_rate": "129153",
"nb_frames": "2346",
"disposition": {
"default": 1,
"dub": 0,
"original": 0,
"comment": 0,
"lyrics": 0,
"karaoke": 0,
"forced": 0,
"hearing_impaired": 0,
"visual_impaired": 0,
"clean_effects": 0,
"attached_pic": 0,
"timed_thumbnails": 0
},
"tags": {
"language": "ger",
"handler_name": "SoundHandler"
}
}
],
"format": {
"filename": "Leonmusssterben20171080p.mp4",
"nb_streams": 2,
"nb_programs": 0,
"format_name": "mov,mp4,m4a,3gp,3g2,mj2",
"format_long_name": "QuickTime / MOV",
"start_time": "0.000000",
"duration": "50.031000",
"size": "6116472",
"bit_rate": "978029",
"probe_score": 100,
"tags": {
"major_brand": "isom",
"minor_version": "512",
"compatible_brands": "isomiso2avc1mp41",
"encoder": "Lavf58.17.100"
}
}
}
Please anyone can help me why is the output video file is getting "is_avc=false" ?
Is there any option to force it ?
Thank you
- Custom ffmpeg build with NVENC support