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La conservation du net art au musée. Les stratégies à l’œuvre
26 mai 2011
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (90)
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Taille des images et des logos définissables
9 février 2011, parDans beaucoup d’endroits du site, logos et images sont redimensionnées pour correspondre aux emplacements définis par les thèmes. L’ensemble des ces tailles pouvant changer d’un thème à un autre peuvent être définies directement dans le thème et éviter ainsi à l’utilisateur de devoir les configurer manuellement après avoir changé l’apparence de son site.
Ces tailles d’images sont également disponibles dans la configuration spécifique de MediaSPIP Core. La taille maximale du logo du site en pixels, on permet (...) -
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 (...) -
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 (...)
Sur d’autres sites (11438)
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How to fix the "No working C compiler found." problem for compiling x264 in Linux ?
27 février 2023, par gc xuFirstly I have read all other solutions related to this problem, including adding path and reinstall yasm, nasm, gcc...
I git clone the source code from https://code.videolan.org/videolan/x264.git.
Then, I run command ./configure, it shows


./configure: line 169: conftest.log: Invalid argument
./configure: line 169: conftest.log: Invalid argument
./configure: line 169: conftest.log: Invalid argument
./configure: line 169: conftest.log: Invalid argument
No working C compiler found.


I check the file "config.log". It shows :


checking for -Werror=unknown-warning-option... no
Failed commandline was:
--------------------------------------------------
gcc conftest.c -Wall -I. -I$(SRCPATH) -Werror=unknown-warning-option -o conftest
cc1: error: ‘-Werror=unknown-warning-option’: no option -Wunknown-warning-option
--------------------------------------------------
Failed program was:
--------------------------------------------------
int main (void) { return 0; }
--------------------------------------------------
checking for -Werror=unknown-attributes... no
Failed commandline was:
--------------------------------------------------
gcc conftest.c -Wall -I. -I$(SRCPATH) -Werror=unknown-attributes -o conftest
cc1: error: ‘-Werror=unknown-warning-option’: no option -Wunknown-warning-option
--------------------------------------------------
Failed program was:
--------------------------------------------------
int main (void) { return 0; }
--------------------------------------------------
checking for -Werror=attributes... no
Failed commandline was:
--------------------------------------------------
gcc conftest.c -Wall -I. -I$(SRCPATH) -Werror=attributes -o conftest
cc1: error: ‘-Werror=unknown-warning-option’: no option -Wunknown-warning-option
--------------------------------------------------
Failed program was:
--------------------------------------------------
int main (void) { return 0; }
--------------------------------------------------
checking for -Werror=ignored-attributes... no
Failed commandline was:
--------------------------------------------------
gcc conftest.c -Wall -I. -I$(SRCPATH) -Werror=ignored-attributes -o conftest
cc1: error: ‘-Werror=unknown-warning-option’: no option -Wunknown-warning-option
--------------------------------------------------
Failed program was:
--------------------------------------------------
int main (void) { return 0; }
--------------------------------------------------
x264 configure script
Command line options: "--enable-shared" "--enable-static"

checking whether gcc works... no
Failed commandline was:
--------------------------------------------------
gcc conftest.c -m64 -Wall -I. -I$(SRCPATH) -m64 -lm -o conftest
cc1: error: ‘-Werror=unknown-warning-option’: no option -Wunknown-warning-option
--------------------------------------------------
Failed program was:
--------------------------------------------------
int main (void) { return 0; }
--------------------------------------------------
DIED: No working C compiler found.


Plus I wonder is there something to do with nasm ? Becasuse I install nasm with some C grammer problems :


./config/config.h:659:16: error: duplicate ‘unsigned’
 659 | #define size_t unsigned int
 | ^~~~~~~~
./config/config.h:659:25: error: two or more data types in declaration specifiers
 659 | #define size_t unsigned int
 | ^~~
In file included from /usr/include/string.h:633,
 from ./include/compiler.h:89,
 from asm/nasm.c:38:
./include/compiler.h:241:7: error: expected identifier or ‘(’ before ‘__extension__’
 241 | char *strsep(char **, const char *);
 | ^~~~~~
./include/compiler.h:241:7: error: expected identifier or ‘(’ before ‘)’ token
 241 | char *strsep(char **, const char *);
 | ^~~~~~
make[1]: *** [asm/nasm.o] Error 1
make[1]: Leaving directory `/mnt/nfs0/gengcheng/ffmpeg-5.0.2/nasm-2.15.05'
make: *** [all] Error 2


I have read all other solutions related to this problem, including adding path and reinstall yasm, nasm, gcc...
I want to install x264 to configure it in ffmpeg. Thanks for all your answers !


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ffmpeg "End mismatch 1" warning, jpeg2000 to avi
11 avril 2023, par jklebesTrying to convert a directory of jpeg2000 grayscale images to a video with ffmpeg, I get warnings


[0;36m[jpeg2000 @ 0x55d8fa1b68c0] [0m[0;33mEnd mismatch 1


(and lots of


Last message repeated <n> times
</n>

)


The command was


ffmpeg -y -r 10 -start_number 1 -i <path>/surface_30///img_000%01d.jp2 -vcodec msmpeg4 -vf scale=1920:-1 -q:v 8 <path>//surface_30///surface_30.avi
</path></path>

The output is


ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers
 built with gcc 7.3.0 (crosstool-NG 1.23.0.449-a04d0)
 configuration: --prefix=/home/jklebes001/miniconda3 --cc=/tmp/build/80754af9/ffmpeg_1587154242452/_build_env/bin/x86_64-conda_cos6-linux-gnu-cc --disable-doc --enable-avresample --enable-gmp --enable-hardcoded-tables --enable-libfreetype --enable-libvpx --enable-pthreads --enable-libopus --enable-postproc --enable-pic --enable-pthreads --enable-shared --enable-static --enable-version3 --enable-zlib --enable-libmp3lame --disable-nonfree --enable-gpl --enable-gnutls --disable-openssl --enable-libopenh264 --enable-libx264
 libavutil 56. 31.100 / 56. 31.100
 libavcodec 58. 54.100 / 58. 54.100
 libavformat 58. 29.100 / 58. 29.100
 libavdevice 58. 8.100 / 58. 8.100
 libavfilter 7. 57.100 / 7. 57.100
 libavresample 4. 0. 0 / 4. 0. 0
 libswscale 5. 5.100 / 5. 5.100
 libswresample 3. 5.100 / 3. 5.100
 libpostproc 55. 5.100 / 55. 5.100
[0;36m[jpeg2000 @ 0x55cb44144480] [0m[0;33mEnd mismatch 1

[0m Last message repeated 1 times
 Last message repeated 2 times
 Last message repeated 3 times


...


Last message repeated 73 times

Input #0, image2, from '<path>//surface_30///img_000%01d.jp2':

 Duration: 00:00:00.20, start: 0.000000, bitrate: N/A

 Stream #0:0: Video: jpeg2000, gray, 6737x4869, 25 tbr, 25 tbn, 25 tbc

Stream mapping:

 Stream #0:0 -> #0:0 (jpeg2000 (native) -> msmpeg4v3 (msmpeg4))

Press [q] to stop, [?] for help

[0;36m[jpeg2000 @ 0x55cb4418e200] [0m[0;33mEnd mismatch 1

[0m[0;36m[jpeg2000 @ 0x55cb441900c0] [0m[0;33mEnd mismatch 1
</path>

...


(about 600 lines of "end mismatch" and "last message repeated" cut)


...


[0m[0;36m[jpeg2000 @ 0x55cb4418e8c0] [0m[0;33mEnd mismatch 1

[0mOutput #0, avi, to '<path>/surface_30///surface_30.avi':

 Metadata:

 ISFT : Lavf58.29.100

 Stream #0:0: Video: msmpeg4v3 (msmpeg4) (MP43 / 0x3334504D), yuv420p, 1920x1388, q=2-31, 200 kb/s, 10 fps, 10 tbn, 10 tbc

 Metadata:

 encoder : Lavc58.54.100 msmpeg4

 Side data:

 cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: -1

frame= 2 fps=0.8 q=8.0 size= 6kB time=00:00:00.20 bitrate= 227.1kbits/s speed=0.0844x 
frame= 5 fps=1.7 q=8.0 size= 6kB time=00:00:00.50 bitrate= 90.8kbits/s speed=0.172x 
frame= 5 fps=1.7 q=8.0 Lsize= 213kB time=00:00:00.50 bitrate=3494.7kbits/s speed=0.172x 
video:208kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 2.732246%
</path>

What is the meaning of characters like [0 ;33m here ?


I thought it might have something to do with bit depth and color format. Setting
-pix_fmt grayhad no effect, and indeed the format of the jp2 images is already detected as 8-bit gray.

The output .avi exists and seems fine.


The line was previously used on jpeg files and works fine on jpeg. With jpeg, the output has the line


Input #0, image2, from '<path>/surface_30///img_000%01d.jpeg':

 Duration: 00:00:00.16, start: 0.000000, bitrate: N/A

 Stream #0:0: Video: mjpeg (Baseline), gray(bt470bg/unknown/unknown), 6737x4869 [SAR 1:1 DAR 6737:4869], 25 tbr, 25 tbn, 25 tbc

Stream mapping:

 Stream #0:0 -> #0:0 (mjpeg (native) -> msmpeg4v3 (msmpeg4))

Press [q] to stop, [?] for help

Output #0, avi, to '<path>/surface_30///surface_30.avi':

 Metadata:

 ISFT : Lavf58.29.100

 Stream #0:0: Video: msmpeg4v3 (msmpeg4) (MP43 / 0x3334504D), yuv420p, 6737x4869 [SAR 1:1 DAR 6737:4869], q=2-31, 200 kb/s, 10 fps, 10 tbn, 10 tbc

 Metadata:

 encoder : Lavc58.54.100 msmpeg4

 Side data:

 cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: -1

frame= 2 fps=0.0 q=8.0 size= 6662kB time=00:00:00.20 bitrate=272859.9kbits/s speed=0.334x 
frame= 3 fps=2.2 q=10.0 size= 10502kB time=00:00:00.30 bitrate=286764.2kbits/s speed=0.22x 
frame= 4 fps=1.9 q=12.3 size= 13574kB time=00:00:00.40 bitrate=277987.7kbits/s speed=0.19x 
frame= 4 fps=1.4 q=12.3 size= 13574kB time=00:00:00.40 bitrate=277987.7kbits/s speed=0.145x 
frame= 4 fps=1.4 q=12.3 Lsize= 13657kB time=00:00:00.40 bitrate=279702.3kbits/s speed=0.145x 
video:13652kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.041926%
</path></path>

detecting mjpeg format and similar, but more detailed format
gray(bt470bg/unknown/unknown), 6737x4869 [SAR 1:1 DAR 6737:4869].

What is the difference when switching input to jp2 ?


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Title : Getting "invalid_request_error" when trying to pass converted audio file to OpenAI API
19 avril 2023, par Dummy CronI am working on a project where I receive a URL from a webhook on my server whenever users share a voice note on my WhatsApp. I am using WATI as my WhatsApp API Provder


The file URL received is in the .opus format, which I need to convert to WAV and pass to the OpenAI Whisper API translation task.


I am trying convert it to .wav using ffmpeg, and pass it to the OpenAI API for translation processing.
However, I am getting an "invalid_request_error"


import requests
import io
import subprocess
file_url = #.opus file url
api_key = #WATI API Keu

def transcribe_audio_to_text():
 # Fetch the audio file and convert to wav format

 headers = {'Authorization': f'Bearer {api_key}'}
 response = requests.get(file_url, headers=headers)
 audio_bytes = io.BytesIO(response.content)

 process = subprocess.Popen(['ffmpeg', '-i', '-', '-f', 'wav', '-acodec', 'libmp3lame', '-'], stdin=subprocess.PIPE, stdout=subprocess.PIPE)
 wav_audio, _ = process.communicate(input=audio_bytes.read())

 # Set the Whisper API endpoint and headers
 WHISPER_API_ENDPOINT = 'https://api.openai.com/v1/audio/translations'
 whisper_api_headers = {'Authorization': 'Bearer ' + WHISPER_API_KEY,
 'Content-Type': 'application/json'}
 print(whisper_api_headers)
 # Send the audio file for transcription

 payload = {'model': 'whisper-1'}
 files = {'file': ('audio.wav', io.BytesIO(wav_audio), 'audio/wav')}

 # files = {'file': ('audio.wav', io.BytesIO(wav_audio), 'application/octet-stream')}

 # files = {'file': ('audio.mp3', io.BytesIO(mp3_audio), 'audio/mp3')}
 response = requests.post(WHISPER_API_ENDPOINT, headers=whisper_api_headers, data=payload)
 print(response)
 # Get the transcription text
 if response.status_code == 200:
 result = response.json()
 text = result['text']
 print(response, text)
 else:
 print('Error:', response)
 err = response.json()
 print(response.status_code)
 print(err)
 print(response.headers)

transcribe_audio_to_text()


Output :


Error: <response>
400
{'error': {'message': "We could not parse the JSON body of your request. (HINT: This likely means you aren't using your HTTP library correctly. The OpenAI API expects a JSON payload, but what was sent was not valid JSON. If you have trouble figuring out how to fix this, please send an email to support@openai.com and include any relevant code you'd like help with.)", 'type': 'invalid_request_error', 'param': None, 'code': None}}
</response>

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