
Recherche avancée
Médias (1)
-
Bug de détection d’ogg
22 mars 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Video
Autres articles (10)
-
Déploiements possibles
31 janvier 2010, parDeux types de déploiements sont envisageable dépendant de deux aspects : La méthode d’installation envisagée (en standalone ou en ferme) ; Le nombre d’encodages journaliers et la fréquentation envisagés ;
L’encodage de vidéos est un processus lourd consommant énormément de ressources système (CPU et RAM), il est nécessaire de prendre tout cela en considération. Ce système n’est donc possible que sur un ou plusieurs serveurs dédiés.
Version mono serveur
La version mono serveur consiste à n’utiliser qu’une (...) -
Gestion des droits de création et d’édition des objets
8 février 2011, parPar défaut, beaucoup de fonctionnalités sont limitées aux administrateurs mais restent configurables indépendamment pour modifier leur statut minimal d’utilisation notamment : la rédaction de contenus sur le site modifiables dans la gestion des templates de formulaires ; l’ajout de notes aux articles ; l’ajout de légendes et d’annotations sur les images ;
-
Qu’est ce qu’un éditorial
21 juin 2013, parEcrivez votre de point de vue dans un article. Celui-ci sera rangé dans une rubrique prévue à cet effet.
Un éditorial est un article de type texte uniquement. Il a pour objectif de ranger les points de vue dans une rubrique dédiée. Un seul éditorial est placé à la une en page d’accueil. Pour consulter les précédents, consultez la rubrique dédiée.
Vous pouvez personnaliser le formulaire de création d’un éditorial.
Formulaire de création d’un éditorial Dans le cas d’un document de type éditorial, les (...)
Sur d’autres sites (3017)
-
what is wrong with this ffmpeg command ? i am trying to trim a video & apply audio filter(audio disable) to it
18 septembre 2022, par Khaled Mortajai am working on a a command that trim a video, after trim it applies audio filter to some seconds of the trimmed video.


-ss 0:00:02.000000 -i "/data/user/0/com.example.cameraapp/cache/REC4972494270640553218.mp4" -t 0:00:14.000000 -avoid_negative_ts make_zero -af volume=enable='between(t,5,10)':volume=0 "/data/user/0/com.example.cameraapp/app_flutter/Trimmer/REC4972494270640553218_trimmed:Sep18,2022-22:24:01.mp4"



the af is the audio filter
anyone have idea what is wrong here ?


-
How to debug ffmpeg reliability for long running rtsp streams
13 septembre 2022, par MarkI have a long running ffmpeg background process that "watches" an rtsp stream and takes snapshots every 7 minutes.


It's being run like this


C:\Windows\System32\cmd.exe /c C:\ffmpeg\bin\ffmpeg.exe -nostdin -rtsp_transport tcp -y -timeout 5000000 -i rtsp://someurl -q:v 1 -an -vf fps=0.002381,scale="1280:720" -strftime 1 -f image2 C:\somelocalfolder\%Y-%m-%d_%H-%M-%S.jpg > c:\ffmpeglog.txt 2>&1



This process runs for days but intermittently, for hours at a time, seems to miss taking snapshots, until eventually it starts to take them again - then fail again, etc. The logs at info level are not helpful. I checked the stream during times when it was not taking snapshots and the stream was up. What's happening here ? How can I debug this ?


Below is an image of succesfull snapshots per hour. There should always be between 8 and 9.



Logs look like this


ffmpeg version 2022-03-31-git-e301a24fa1-full_build-www.gyan.dev Copyright (c) 2000-2022 the FFmpeg developers
 built with gcc 11.2.0 (Rev7, Built by MSYS2 project)
 configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-bzlib --enable-lzma --enable-libsnappy --enable-zlib --enable-librist --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-libbluray --enable-libcaca --enable-sdl2 --enable-libdav1d --enable-libdavs2 --enable-libuavs3d --enable-libzvbi --enable-librav1e --enable-libsvtav1 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs2 --enable-libxvid --enable-libaom --enable-libopenjpeg --enable-libvpx --enable-mediafoundation --enable-libass --enable-frei0r --enable-libfreetype --enable-libfribidi --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-nvdec --enable-nvenc --enable-d3d11va --enable-dxva2 --enable-libmfx --enable-libshaderc --enable-vulkan --enable-libplacebo --enable-opencl --enable-libcdio --enable-libgme --enable-libmodplug --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libshine --enable-libtheora --enable-libtwolame --enable-libvo-amrwbenc --enable-libilbc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-ladspa --enable-libbs2b --enable-libflite --enable-libmysofa --enable-librubberband --enable-libsoxr --enable-chromaprint
 libavutil 57. 24.101 / 57. 24.101
 libavcodec 59. 25.100 / 59. 25.100
 libavformat 59. 20.101 / 59. 20.101
 libavdevice 59. 6.100 / 59. 6.100
 libavfilter 8. 29.100 / 8. 29.100
 libswscale 6. 6.100 / 6. 6.100
 libswresample 4. 6.100 / 4. 6.100
 libpostproc 56. 5.100 / 56. 5.100
Input #0, rtsp, from 'rtsp://somerul':
 Metadata:
 title : HIK Media Server V4.21.005
 comment : HIK Media Server Session Description : standard
 Duration: N/A, start: 0.033000, bitrate: N/A
 Stream #0:0: Video: h264 (High), yuv420p(progressive), 704x576, 30 tbr, 90k tbn
Stream mapping:
 Stream #0:0 -> #0:0 (h264 (native) -> mjpeg (native))
[swscaler @ 000002a1c2c20680] [swscaler @ 000002a1c2c2e0c0] deprecated pixel format used, make sure you did set range correctly
[swscaler @ 000002a1c2c20680] [swscaler @ 000002a1c2c67c40] deprecated pixel format used, make sure you did set range correctly
[swscaler @ 000002a1c2c20680] [swscaler @ 000002a1c2cc6700] deprecated pixel format used, make sure you did set range correctly
Output #0, image2, to 'C:\somelocalfolder\Temp\stream_2\StreamedImages\%Y-%m-%d_%H-%M-%S.jpg':
 Metadata:
 title : HIK Media Server V4.21.005
 comment : HIK Media Server Session Description : standard
 encoder : Lavf59.20.101
 Stream #0:0: Video: mjpeg, yuvj420p(pc, progressive), 1280x720, q=2-31, 200 kb/s, 0.0024 fps, 0.0024 tbn
 Metadata:
 encoder : Lavc59.25.100 mjpeg
 Side data:
 cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: N/A
frame= 1 fps=0.0 q=0.0 size=N/A time=00:00:00.00 bitrate=N/A speed= 0x 



Update
I got some trace logs. The ffmpeg seems to fail silently at some point and stop taking snapshots.


After about 3 million log lines (which is really only a couple of hours in my case) I get the following


rtsp://192.168.15.195:554/streaming/channels/904: Unknown error



But ffmpeg silently continues. Here is a bit more of the log


[Parsed_fps_0 @ 00000248e7d50e40] Read frame with in pts 1074443040, out pts 28
[Parsed_fps_0 @ 00000248e7d50e40] Dropping frame with pts 28
frame= 28 fps=0.0 q=1.0 size=N/A time=03:08:59.77 bitrate=N/A speed=0.95x 
[rtsp @ 00000248e765cf00] tcp_read_packet:
[h264 @ 00000248e7d59880] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[rtsp @ 00000248e765cf00] ret=-138 c=24 [$]
rtsp://192.168.15.195:554/streaming/channels/904: Unknown error
[Parsed_fps_0 @ 00000248e7d50e40] Read frame with in pts 1074446100, out pts 28
[Parsed_fps_0 @ 00000248e7d50e40] Dropping frame with pts 28
frame= 28 fps=0.0 q=1.0 size=N/A time=03:08:59.77 bitrate=N/A speed=0.95x 
[rtsp @ 00000248e765cf00] tcp_read_packet:
[rtsp @ 00000248e765cf00] ret=1 c=24 [$]
[rtsp @ 00000248e765cf00] id=0 len=696
[rtsp @ 00000248e765cf00] Sending:
GET_PARAMETER rtsp://192.168.15.195:554/streaming/channels/904 RTSP/1.0

CSeq: 402

User-Agent: Lavf59.20.101

Session: 931848797

Authorization: Digest username="******", realm="709382dda4ccb674edf093d3", nonce="13fca62fc", uri="rtsp://192.168.15.195:554/streaming/channels/904", response="74341df9611f0ac3dc247b402424735b", algorithm="MD5"



--
[NULL @ 00000248e7662640] nal_unit_type: 7(SPS), nal_ref_idc: 3
[NULL @ 00000248e7662640] nal_unit_type: 8(PPS), nal_ref_idc: 3
[rtsp @ 00000248e765cf00] tcp_read_packet:
[rtsp @ 00000248e765cf00] ret=1 c=24 [$]
[rtsp @ 00000248e765cf00] id=0 len=756
[Parsed_fps_0 @ 00000248e7d50e40] Read frame with in pts 1074449070, out pts 28
[Parsed_fps_0 @ 00000248e7d50e40] Dropping frame with pts 28
[Parsed_fps_0 @ 00000248e7d50e40] Read frame with in pts 1074449070, out pts 28
[Parsed_fps_0 @ 00000248e7d50e40] Dropping frame with pts 28
frame= 28 fps=0.0 q=1.0 size=N/A time=03:08:59.77 bitrate=N/A speed=0.949x 
[rtsp @ 00000248e765cf00] tcp_read_packet:
[rtsp @ 00000248e765cf00] ret=1 c=24 [$]
[rtsp @ 00000248e765cf00] id=0 len=1352
frame= 28 fps=0.0 q=1.0 size=N/A time=03:08:59.77 bitrate=N/A speed=0.949x 
[rtsp @ 00000248e765cf00] tcp_read_packet:
[rtsp @ 00000248e765cf00] ret=1 c=24 [$]
[rtsp @ 00000248e765cf00] id=0 len=1352
[rtsp @ 00000248e765cf00] tcp_read_packet:
[rtsp @ 00000248e765cf00] ret=1 c=24 [$]
[rtsp @ 00000248e765cf00] id=0 len=1352
[rtsp @ 00000248e765cf00] tcp_read_packet:
[rtsp @ 00000248e765cf00] ret=1 c=24 [$]
[rtsp @ 00000248e765cf00] id=0 len=1352
[rtsp @ 00000248e765cf00] tcp_read_packet:
[rtsp @ 00000248e765cf00] ret=1 c=24 [$]
[rtsp @ 00000248e765cf00] id=0 len=1228
[rtsp @ 00000248e765cf00] tcp_read_packet:
[rtsp @ 00000248e765cf00] ret=1 c=24 [$]
[rtsp @ 00000248e765cf00] id=0 len=1352
[NULL @ 00000248e7662640] reference count 1 overflow
[rtsp @ 00000248e765cf00] tcp_read_packet:
[rtsp @ 00000248e765cf00] ret=1 c=24 [$]
[rtsp @ 00000248e765cf00] id=0 len=804
[rtsp @ 00000248e765cf00] tcp_read_packet:
[rtsp @ 00000248e765cf00] ret=1 c=24 [$]
[rtsp @ 00000248e765cf00] id=0 len=1352
[NULL @ 00000248e7662640] illegal memory management control operation 11
[rtsp @ 00000248e765cf00] tcp_read_packet:
[rtsp @ 00000248e765cf00] ret=1 c=24 [$]
[rtsp @ 00000248e765cf00] id=0 len=836



Basically it appears an issue of ffmpeg silently failing. If it crashed, my software could detect it and I could rerun it, but if it fails silently like this, I need another solution.


-
Python : Extracting device and lens information from video metadata
14 mai 2023, par cat_got_my_tongueI am interested in extracting device and lens information from videos. Specifically, make and model of the device and the focal length. I was able to do this successfully for still images using the
exifread
module and extract a whole bunch of very useful information :

image type : MPO
Image ImageDescription: Shot with DxO ONE
Image Make: DxO
Image Model: DxO ONE
Image Orientation: Horizontal (normal)
Image XResolution: 300
Image YResolution: 300
Image ResolutionUnit: Pixels/Inch
Image Software: V3.0.0 (2b448a1aee) APP:1.0
Image DateTime: 2022:04:05 14:53:45
Image YCbCrCoefficients: [299/1000, 587/1000, 57/500]
Image YCbCrPositioning: Centered
Image ExifOffset: 158
Thumbnail Compression: JPEG (old-style)
Thumbnail XResolution: 300
Thumbnail YResolution: 300
Thumbnail ResolutionUnit: Pixels/Inch
Thumbnail JPEGInterchangeFormat: 7156
Thumbnail JPEGInterchangeFormatLength: 24886
EXIF ExposureTime: 1/3
EXIF FNumber: 8
EXIF ExposureProgram: Aperture Priority
EXIF ISOSpeedRatings: 100
EXIF SensitivityType: ISO Speed
EXIF ISOSpeed: 100
EXIF ExifVersion: 0221
EXIF DateTimeOriginal: 2022:04:05 14:53:45
EXIF DateTimeDigitized: 2022:04:05 14:53:45
EXIF ComponentsConfiguration: CrCbY
EXIF CompressedBitsPerPixel: 3249571/608175
EXIF ExposureBiasValue: 0
EXIF MaxApertureValue: 212/125
EXIF SubjectDistance: 39/125
EXIF MeteringMode: MultiSpot
EXIF LightSource: Unknown
EXIF Flash: Flash did not fire
EXIF FocalLength: 1187/100
EXIF SubjectArea: [2703, 1802, 675, 450]
EXIF MakerNote: [68, 88, 79, 32, 79, 78, 69, 0, 12, 0, 0, 0, 21, 0, 3, 0, 5, 0, 2, 0, ... ]
EXIF SubSecTime: 046
EXIF SubSecTimeOriginal: 046
EXIF SubSecTimeDigitized: 046
EXIF FlashPixVersion: 0100
EXIF ColorSpace: sRGB
EXIF ExifImageWidth: 5406
EXIF ExifImageLength: 3604
Interoperability InteroperabilityIndex: R98
Interoperability InteroperabilityVersion: [48, 49, 48, 48]
EXIF InteroperabilityOffset: 596
EXIF FileSource: Digital Camera
EXIF ExposureMode: Auto Exposure
EXIF WhiteBalance: Auto
EXIF DigitalZoomRatio: 1
EXIF FocalLengthIn35mmFilm: 32
EXIF SceneCaptureType: Standard
EXIF ImageUniqueID: C01A1709306530020220405185345046
EXIF BodySerialNumber: C01A1709306530



Unfortunately, I have been unable to extract this kind of info from videos so far.


This is what I have tried so far, with the
ffmpeg
module :

import ffmpeg
from pprint import pprint

test_video = "my_video.mp4"
pprint(ffmpeg.probe(test_video)["streams"])



And the output I get contains a lot of info but nothing related to the device or lens, which is what I am looking for :


[{'avg_frame_rate': '30/1',
 'bit_rate': '1736871',
 'bits_per_raw_sample': '8',
 'chroma_location': 'left',
 'codec_long_name': 'H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10',
 'codec_name': 'h264',
 'codec_tag': '0x31637661',
 'codec_tag_string': 'avc1',
 'codec_time_base': '1/60',
 'codec_type': 'video',
 'coded_height': 1088,
 'coded_width': 1920,
 'display_aspect_ratio': '16:9',
 'disposition': {'attached_pic': 0,
 'clean_effects': 0,
 'comment': 0,
 'default': 1,
 'dub': 0,
 'forced': 0,
 'hearing_impaired': 0,
 'karaoke': 0,
 'lyrics': 0,
 'original': 0,
 'timed_thumbnails': 0,
 'visual_impaired': 0},
 'duration': '20.800000',
 'duration_ts': 624000,
 'has_b_frames': 0,
 'height': 1080,
 'index': 0,
 'is_avc': 'true',
 'level': 40,
 'nal_length_size': '4',
 'nb_frames': '624',
 'pix_fmt': 'yuv420p',
 'profile': 'Constrained Baseline',
 'r_frame_rate': '30/1',
 'refs': 1,
 'sample_aspect_ratio': '1:1',
 'start_pts': 0,
 'start_time': '0.000000',
 'tags': {'creation_time': '2021-05-08T13:23:20.000000Z',
 'encoder': 'AVC Coding',
 'handler_name': 'VideoHandler',
 'language': 'und'},
 'time_base': '1/30000',
 'width': 1920},
 {'avg_frame_rate': '0/0',
 'bit_rate': '79858',
 'bits_per_sample': 0,
 'channel_layout': 'stereo',
 'channels': 2,
 'codec_long_name': 'AAC (Advanced Audio Coding)',
 'codec_name': 'aac',
 'codec_tag': '0x6134706d',
 'codec_tag_string': 'mp4a',
 'codec_time_base': '1/48000',
 'codec_type': 'audio',
 'disposition': {'attached_pic': 0,
 'clean_effects': 0,
 'comment': 0,
 'default': 1,
 'dub': 0,
 'forced': 0,
 'hearing_impaired': 0,
 'karaoke': 0,
 'lyrics': 0,
 'original': 0,
 'timed_thumbnails': 0,
 'visual_impaired': 0},
 'duration': '20.864000',
 'duration_ts': 1001472,
 'index': 1,
 'max_bit_rate': '128000',
 'nb_frames': '978',
 'profile': 'LC',
 'r_frame_rate': '0/0',
 'sample_fmt': 'fltp',
 'sample_rate': '48000',
 'start_pts': 0,
 'start_time': '0.000000',
 'tags': {'creation_time': '2021-05-08T13:23:20.000000Z',
 'handler_name': 'SoundHandler',
 'language': 'und'},
 'time_base': '1/48000'}]



Are these pieces of info available for videos ? Should I be using a different package ?


Thanks.


Edit :


pprint(ffmpeg.probe(test_video)["format"])
gives

{'bit_rate': '1815244',
 'duration': '20.864000',
 'filename': 'my_video.mp4',
 'format_long_name': 'QuickTime / MOV',
 'format_name': 'mov,mp4,m4a,3gp,3g2,mj2',
 'nb_programs': 0,
 'nb_streams': 2,
 'probe_score': 100,
 'size': '4734158',
 'start_time': '0.000000',
 'tags': {'artist': 'Microsoft Game DVR',
 'compatible_brands': 'mp41isom',
 'creation_time': '2021-05-08T12:12:33.000000Z',
 'major_brand': 'mp42',
 'minor_version': '0',
 'title': 'Snipping Tool'}}