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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 (57)
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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 (...) -
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 ;
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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 (5463)
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ffmpeg is failing to convert mov files from iPhone 4
11 octobre 2014, par skatI’m having issue with converting mov files from iPhone 4.
Running this command :
I, [2014-09-15T03:48:33.245231 #9676] INFO -- : Running transcoding...
ffmpeg -y -i /Users/lun/client/bookagoo/public/uploads/5405e9b0486f75a36c100000/video/1410727644xqxzdoxf-IMG_0040_1_.MOV -ss 5 -vframes 1 -f image2 /Users/lun/client/bookagoo/public/uploads/5405e9b0486f75a36c100000/video/1410727644xqxzdoxf-IMG_0040_1_-edited.jpg
E, [2014-09-15T03:48:33.321367 #9676] ERROR -- : Failed encoding...
ffmpeg -y -i /Users/lun/client/bookagoo/public/uploads/5405e9b0486f75a36c100000/video /1410727644xqxzdoxf-IMG_0040_1_.MOV -ss 5 -vframes 1 -f image2 /Users/lun/client/bookagoo/public/uploads/5405e9b0486f75a36c100000/video/1410727644xqxzdoxf-IMG_0040_1_-edited.jpgMy ffmpeg gives me errors like this :
FFMPEG::Error: Failed encoding.Errors: no output file created. Full output: ffmpeg version 2.3.1 Copyright (c) 2000-2014 the FFmpeg developers
built on Aug 20 2014 02:23:29 with Apple LLVM version 5.1 (clang-503.0.40) (based on LLVM 3.4svn)
configuration: --prefix=/usr/local/Cellar/ffmpeg/2.3.1 --enable-shared --enable-pthreads --enable-gpl --enable-version3 --enable-nonfree --enable-hardcoded-tables --enable-avresample --enable-vda --cc=clang --host-cflags= --host-ldflags= --enable-libx264 --enable-libfaac --enable-libmp3lame --enable-libxvid --enable-libtheora --enable-libvorbis --enable-libvpx
libavutil 52. 92.100 / 52. 92.100
libavcodec 55. 69.100 / 55. 69.100
libavformat 55. 48.100 / 55. 48.100
libavdevice 55. 13.102 / 55. 13.102
libavfilter 4. 11.100 / 4. 11.100
libavresample 1. 3. 0 / 1. 3. 0
libswscale 2. 6.100 / 2. 6.100
libswresample 0. 19.100 / 0. 19.100
libpostproc 52. 3.100 / 52. 3.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/Users/lun/client/bookagoo/public/uploads/5405e9b0486f75a36c100000/video/1410641311nyv99k1j-IMG_0040_1_.MOV':
Metadata:
major_brand : qt
minor_version : 0
compatible_brands: qt
creation_time : 2014-07-20 09:47:08
model : iPhone 4
model-rus : iPhone 4
encoder : 7.0.4
encoder-rus : 7.0.4
date : 2014-07-20T13:47:08+0400
date-rus : 2014-07-20T13:47:08+0400
make : Apple
make-rus : Apple
Duration: 00:00:01.84, start: 0.000000, bitrate: 827 kb/s
Stream #0:0(und): Video: h264 (Baseline) (avc1 / 0x31637661), yuv420p(tv, smpte170m), 480x360, 742 kb/s, 23.98 fps, 23.98 tbr, 600 tbn, 1200 tbc (default)
Metadata:
rotate : 90
creation_time : 2014-07-20 09:47:08
handler_name : Core Media Data Handler
encoder : H.264
Side data:
displaymatrix: rotation of -90.00 degrees
Stream #0:1(und): Audio: aac (mp4a / 0x6134706D), 44100 Hz, mono, fltp, 63 kb/s (default)
Metadata:
creation_time : 2014-07-20 09:47:08
handler_name : Core Media Data Handler
[swscaler @ 0x7fe1e9800600] deprecated pixel format used, make sure you did set range correctly
Output #0, image2, to '/Users/lun/client/bookagoo/public/uploads/5405e9b0486f75a36c100000/video/1410641311nyv99k1j-IMG_0040_1_-edited.jpg':
Metadata:
major_brand : qt
minor_version : 0
compatible_brands: qt
make-rus : Apple
model : iPhone 4
model-rus : iPhone 4
make : Apple
encoder : Lavf55.48.100
date : 2014-07-20T13:47:08+0400
date-rus : 2014-07-20T13:47:08+0400
Stream #0:0(und): Video: mjpeg, yuvj420p, 480x360, q=2-31, 200 kb/s, 23.98 fps, 23.98 tbn, 23.98 tbc (default)
Metadata:
rotate : 90
creation_time : 2014-07-20 09:47:08
handler_name : Core Media Data Handler
encoder : Lavc55.69.100 mjpeg
Stream mapping:
Stream #0:0 -> #0:0 (h264 (native) -> mjpeg (native))
Press [q] to stop, [?] for help
frame= 0 fps=0.0 q=0.0 Lsize=N/A time=00:00:00.00 bitrate=N/A
video:0kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
Output file is empty, nothing was encoded (check -ss / -t / -frames parameters if used)It’s only happening for mov files. There are couple of tricky places it looks like it’s trying to take screenshot from a video.
Maybe anyone witnessed anything similar and can give me a tip ?
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How to extract a fixed set of frames from a live video stream for machine learning prediction in PyTorch ?
12 avril 2022, par Samay LakhaniI recently created a Video Swin Transformer model that takes in a ([batch_size], 3, 32, 224, 224) [batch_size, channel, temporal_dim, height, width] tensor for video and outputs logits. The goal is to have the model predict on a live stream from a camera. Is there any way to capture the fixed sequence of 32 frames repetitively and have the model predict on a live stream. If prediction time is longer than 32 frames, can I stretch out the frames over a longer time period like a minute ? Thanks.


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Google Analytics Now Illegal in Austria ; Other EU Member States Expected to Follow
18 janvier 2022, par Erin — Privacy