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Autres articles (55)
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Participer à sa traduction
10 avril 2011Vous pouvez nous aider à améliorer les locutions utilisées dans le logiciel ou à traduire celui-ci dans n’importe qu’elle nouvelle langue permettant sa diffusion à de nouvelles communautés linguistiques.
Pour ce faire, on utilise l’interface de traduction de SPIP où l’ensemble des modules de langue de MediaSPIP sont à disposition. ll vous suffit de vous inscrire sur la liste de discussion des traducteurs pour demander plus d’informations.
Actuellement MediaSPIP n’est disponible qu’en français et (...) -
L’utiliser, en parler, le critiquer
10 avril 2011La première attitude à adopter est d’en parler, soit directement avec les personnes impliquées dans son développement, soit autour de vous pour convaincre de nouvelles personnes à l’utiliser.
Plus la communauté sera nombreuse et plus les évolutions seront rapides ...
Une liste de discussion est disponible pour tout échange entre utilisateurs. -
HTML5 audio and video support
13 avril 2011, parMediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
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Sur d’autres sites (11282)
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av_interleaved_write_frame() : Cannot allocate memory, Error writing trailer of udp
30 août 2022, par Technical_Union7716I'm transcoding from udp input to mpegts udp output. After several hours ffmpeg used all ram memory. I don't know where the problem is.


Command :


ffmpeg -hwaccel vaapi -hwaccel_output_format vaapi -i "udp://239.100.1.5:1234?fifo_size=1000000&overrun_nonfatal=1" -map i:0x100 -map i:0x101 -vf 'scale_vaapi=w=720:h=576,hwdownload,format=nv12,fps=25' -c:v mpeg2video -b:v 5000k -minrate 5000k -maxrate 5000k -muxrate 7000k -pcr_period 40 -flags:v +ildct+ilme -top 0 -aspect 16:9 -c:a mp2 -b:a 192k -c:s copy -mpegts_service_id 1 -metadata service_name="Transcoded" -metadata service_provider="HD to SD" -f mpegts "udp://239.120.1.2:7006?pkt_size=1316&bitrate=12000000"


Logs :


Stream #0:0: Video: mpeg2video (Main), yuv420p(tv, bt709, bottom first), 720x576 [SAR 64:45 DAR 16:9], q=2-31, 5000 kb/s, 25 fps, 90k tbn2022-08-23 13:27:04,291


Metadata :


encoder : Lavc59.39.100 mpeg2video


Side data :


cpb: bitrate max/min/avg: 5000000/5000000/5000000 buffer size: 1835008 vbv_delay: N/A
Stream #0:1(und): Audio: mp2, 44100 Hz, stereo, s16, 192 kb/s


Metadata :


encoder : Lavc59.39.100 mp2
2022-08-24 04:08:47,884 av_interleaved_write_frame(): Cannot allocate memory41:02.67 bitrate=7000.0kbits/s speed=0.999x
2022-08-24 04:08:47,893 Last message repeated 1 times
2022-08-24 04:08:47,897 Error writing trailer of udp://239.120.1.2:7006?pkt_size=1316&bitrate=12000000: Cannot allocate memory
2022-08-24 04:08:47,898 frame=1321595 fps= 25 q=2.0 Lsize=45171938kB time=14:41:04.20 bitrate=7000.0kbits/s speed=0.999x
video:32265447kB audio:1239612kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 34.821243%
2022-08-24 04:08:51,469 Error closing file udp://239.120.1.2:7006?pkt_size=1316&bitrate=12000000: Cannot allocate memory
2022-08-24 04:08:51,750 Conversion failed!


Any ideas ?


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Appium screen recording doesn't work on simulator
31 août 2022, par OksI'm running automation tests on simulator and trying to record screen but it crashes on line
driver.start_recording_screen()
I'm using Python for testing and Flutter for client side.

self.utils.driver.switch_to_native_context()
driver.start_recording_screen()


Appium logs :


[ffmpeg] ffmpeg version 5.1 Copyright (c) 2000-2022 the FFmpeg developers
[ffmpeg] built with Apple clang version 13.1.6 (clang-1316.0.21.2.5)
[ffmpeg] configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/5.1 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags= --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libbluray --enable-libdav1d --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-neon
[ffmpeg] 
[ffmpeg] libavutil 57. 28.100 / 57. 28.100
[ffmpeg] libavcodec 59. 37.100 / 59. 37.100
[ffmpeg] libavformat 59. 27.100 / 59. 27.100
[ffmpeg] libavdevice 59. 7.100 / 59. 7.100
[ffmpeg] libavfilter 8. 44.100 / 8. 44.100
[ffmpeg] libswscale 6. 7.100 / 6. 7.100
[ffmpeg] libswresample 4. 7.100 / 4. 7.100
[ffmpeg] 
[ffmpeg] libpostproc 56. 6.100 / 56. 6.100
[ffmpeg] 
[ffmpeg] [mjpeg @ 0x148605ab0] No JPEG data found in image
[ffmpeg] 
[ffmpeg] [mjpeg @ 0x14b104080] Could not find codec parameters for stream 0 (Video: mjpeg, none(bt470bg/unknown/unknown)): unspecified size
[ffmpeg] Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
[ffmpeg] Input #0, mjpeg, from '********':
[ffmpeg] Duration: N/A, bitrate: N/A
[ffmpeg] Stream #0:0: Video: mjpeg, none(bt470bg/unknown/unknown), 25 tbr, 1200k tbn
[ffmpeg] 
[ffmpeg] Stream mapping:
[ffmpeg] Stream #0:0 -> #0:0 (mjpeg (native) -> mjpeg (native))
[ffmpeg] Press [q] to stop, [?] for help
[ffmpeg] [mjpeg @ 0x14b004620] No JPEG data found in image
[ffmpeg] Error while decoding stream #0:0: Invalid data found when processing input
[ffmpeg] Cannot determine format of input stream 0:0 after EOF
[ffmpeg] Error marking filters as finished
[ffmpeg] Conversion failed!
[ffmpeg] 
[XCUITest] Screen capture process did not start within 5000ms. Continuing anyway



Anyone knows how to fix it ?
Thanks !


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Buffer as input and output for fluent-ffmpeg
9 septembre 2022, par nickcoding2The below looks like a lot but a it's primarily just output.


I'm trying to take in a buffer using multer (being send the request containing the video (.mov format) through Alamofire from an iPhone) as the input before a fluent-ffmpeg conversion, then I want it to output as a buffer, and then send the result to S3. I think I'm close, but I don't think fluent-ffmpeg can have a buffer passed in. This is deployed on heroku using this buildpack : https://github.com/jonathanong/heroku-buildpack-ffmpeg-latest.... How do I pass it in correctly ?


const multer = require('multer')
const upload = multer({ limits: { fieldSize: 100_000_000 } })
app.post('/create', upload.single('video'), async function (request, response, next) {
 let data = request.body
 console.log(data) // prints [Object: null prototype] { param1: '' }
 let bufferStream = new stream.PassThrough();
 console.log(request.file.buffer) // prints '<buffer 00="00" 14="14" 66="66" 74="74" 79="79" 70="70" 71="71" 20="20" 08="08" 77="77" 69="69" 64="64" 65="65" 01="01" 0e="0e" 28="28" 55="55" 6d="6d" 61="61" 21="21" 03="03" 40="40" 68="68" 1c="1c" 4e="4e" ff="ff" 3c="3c" 59="59" 96="96" 7c="7c" 82="82" 17718642="17718642" more="more" bytes="bytes">'

 new ffmpeg({
 source: stream.Readable.from(request.file.buffer, { objectMode: false })
 })
 // .format('mp4')
 .on('error', function (err) {
 console.log(Error: ${err})
 })
 .on('progress', function (progress) {
 console.log("progress")
 })
 .on('end', function () {
 console.log('Formatting finished!');
 console.log("after");
 })
 .writeToStream(bufferStream);

 // Read the passthrough stream
 const buffers = [];
 bufferStream.on('data', function (buf) {
 buffers.push(buf);
 });
 bufferStream.on('end', function () {
 const outputBuffer = Buffer.concat(buffers);
 // use outputBuffer
 });
 console.log("Added.")
 response.send("Success")
});
</buffer>

The output is what you can see below (without .format('mp4')) :


2022-09-03T13:12:24.194384+00:00 heroku[router]: at=info method=POST path="/createBusiness" host=sparrow-testing.herokuapp.com request_id=2774a4ec-e21e-4c2f-8086-460a4cba7d1d fwd="74.71.236.5" dyno=web.1 connect=0ms service=13157ms status=200 bytes=762 protocol=https
2022-09-03T13:12:24.186257+00:00 app[web.1]: [Object: null prototype] { title: '' }
2022-09-03T13:12:24.187296+00:00 app[web.1]: <buffer 00="00" 14="14" 66="66" 74="74" 79="79" 70="70" 71="71" 20="20" 08="08" 77="77" 69="69" 64="64" 65="65" 01="01" 0e="0e" 28="28" 55="55" 6d="6d" 61="61" 21="21" 03="03" 40="40" 68="68" 1c="1c" 4e="4e" ff="ff" 3c="3c" 59="59" 96="96" 7c="7c" 82="82" 17718642="17718642" more="more" bytes="bytes">
2022-09-03T13:12:24.189891+00:00 app[web.1]: Added.
2022-09-03T13:12:24.891564+00:00 app[web.1]: Error: Error: ffmpeg exited with code 1: pipe:1: Invalid argument
2022-09-03T13:12:24.891570+00:00 app[web.1]: 
</buffer>

This output is what you see with .format('mp4') :


2022-09-03T13:17:07.380415+00:00 app[web.1]: [Object: null prototype] { title: '' }
2022-09-03T13:17:07.381335+00:00 app[web.1]: <buffer 00="00" 14="14" 66="66" 74="74" 79="79" 70="70" 71="71" 20="20" 08="08" 77="77" 69="69" 64="64" 65="65" 01="01" 0e="0e" 28="28" 55="55" 6d="6d" 61="61" 21="21" 03="03" 40="40" 68="68" 1c="1c" 4e="4e" ff="ff" 3c="3c" 59="59" 96="96" 7c="7c" 82="82" 17718642="17718642" more="more" bytes="bytes">
2022-09-03T13:17:07.384047+00:00 app[web.1]: Added.
2022-09-03T13:17:07.388457+00:00 heroku[router]: at=info method=POST path="/createBusiness" host=sparrow-testing.herokuapp.com request_id=84e69ead-09b1-4668-8fc8-b9fc9d5f229d fwd="74.71.236.5" dyno=web.1 connect=0ms service=13079ms status=200 bytes=762 protocol=https
2022-09-03T13:17:08.339746+00:00 app[web.1]: Error: Error: ffmpeg exited with code 1: Conversion failed!
2022-09-03T13:17:08.339783+00:00 app[web.1]: 
</buffer>

My uploadFile function works correctly because I use it elsewhere—normally, I just pass in the request.file.buffer, but here it needs to be a buffer after the ffmpeg conversion


EDIT :


At Heiko's suggestion, I tried changing the multer initialization to


multer({ limits: { fieldSize: 100_000_000 }, dest: "uploads/" })


and the source I was passing in to ffmpeg to


new ffmpeg({
 source: request.file.path // request.file.path seems to be a path of a Multer-generated file, I'd assume the one I'm sending to the server
})
.format('mp4')


but it still errored out to


Error: ffmpeg exited with code 1: Conversion failed!


when the request.file was :


{
 fieldname: 'video',
 originalname: 'video',
 encoding: '7bit',
 mimetype: 'clientMime',
 destination: 'uploads/',
 filename: '08d5d3bbdcf1ac29fb97800136a306e9',
 path: 'uploads/08d5d3bbdcf1ac29fb97800136a306e9',
 size: 1567480
}


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