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MediaSPIP Simple : futur thème graphique par défaut ?
26 septembre 2013, par
Mis à jour : Octobre 2013
Langue : français
Type : Video
Autres articles (37)
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Installation en mode ferme
4 février 2011, parLe mode ferme permet d’héberger plusieurs sites de type MediaSPIP en n’installant qu’une seule fois son noyau fonctionnel.
C’est la méthode que nous utilisons sur cette même plateforme.
L’utilisation en mode ferme nécessite de connaïtre un peu le mécanisme de SPIP contrairement à la version standalone qui ne nécessite pas réellement de connaissances spécifique puisque l’espace privé habituel de SPIP n’est plus utilisé.
Dans un premier temps, vous devez avoir installé les mêmes fichiers que l’installation (...) -
Supporting all media types
13 avril 2011, parUnlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)
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Ajouter notes et légendes aux images
7 février 2011, parPour pouvoir ajouter notes et légendes aux images, la première étape est d’installer le plugin "Légendes".
Une fois le plugin activé, vous pouvez le configurer dans l’espace de configuration afin de modifier les droits de création / modification et de suppression des notes. Par défaut seuls les administrateurs du site peuvent ajouter des notes aux images.
Modification lors de l’ajout d’un média
Lors de l’ajout d’un média de type "image" un nouveau bouton apparait au dessus de la prévisualisation (...)
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avfilter : add bilateral_cuda filter
30 août 2022, par Mohamed Khaled Mohamedavfilter : add bilateral_cuda filter
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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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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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