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Bug de détection d’ogg
22 mars 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Video
Autres articles (32)
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Personnaliser les catégories
21 juin 2013, parFormulaire de création d’une catégorie
Pour ceux qui connaissent bien SPIP, une catégorie peut être assimilée à une rubrique.
Dans le cas d’un document de type catégorie, les champs proposés par défaut sont : Texte
On peut modifier ce formulaire dans la partie :
Administration > Configuration des masques de formulaire.
Dans le cas d’un document de type média, les champs non affichés par défaut sont : Descriptif rapide
Par ailleurs, c’est dans cette partie configuration qu’on peut indiquer le (...) -
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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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 (5445)
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Error audio loading when runing Whisper Open AI model
9 juin 2024, par John mickThe problem I'm trying to solve is that I can't run Whisper model for some audio, it says something related to audio decoding.


payload.wav: Invalid data found when processing input.
raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e


I tried using the
micro-machines.wavand it works fine but when i used other audio it gives me an error.

import whisper

model = whisper.load_model("base")
text=model.transcribe('micro-machines.wav',fp16=False)
print(text)
text=model.transcribe('payload.wav',fp16=False)
print(text)


Error I'm getting for payload :


d:\...\venv\lib\site-packages\whisper\transcribe.py:79: UserWarning: FP16 is not supported on CPU; using FP32 instead
 warnings.warn("FP16 is not supported on CPU; using FP32 instead") 
Traceback (most recent call last):
 File "d:\...\venv\lib\site-packages\whisper\audio.py", line 42, in load_audio
 ffmpeg.input(file, threads=0) 
 File "d:\...\venv\lib\site-packages\ffmpeg\_run.py", line 325, in run 
 raise Error('ffmpeg', out, err) 
ffmpeg._run.Error: ffmpeg error (see stderr output for detail) 

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
 File "C:\....\Python\Python39\lib\runpy.py", line 197, in _run_module_as_main
 return _run_code(code, main_globals, None,
 File "C:\.....\Python\Python39\lib\runpy.py", line 87, in _run_code
 exec(code, run_globals)
 File "D:\...\venv\Scripts\whisper.exe\__main__.py", line 7, in <module>
 File "d:\...\venv\lib\site-packages\whisper\transcribe.py", line 314, in cli
 result = transcribe(model, audio_path, temperature=temperature, **args)
 File "d:\...\venv\lib\site-packages\whisper\transcribe.py", line 85, in transcribe
 mel = log_mel_spectrogram(audio)
 File "d:\...\venv\lib\site-packages\whisper\audio.py", line 111, in log_mel_spectrogram
 audio = load_audio(audio)
 File "d:\...\venv\lib\site-packages\whisper\audio.py", line 47, in load_audio
 raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e
RuntimeError: Failed to load audio: ffmpeg version 6.0-essentials_build-www.gyan.dev Copyright (c) 2000-2023 the FFmpeg developers
 built with gcc 12.2.0 (Rev10, Built by MSYS2 project)
 configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enab
le-gmp --enable-lzma --enable-zlib --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-sdl2 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxv
id --enable-libaom --enable-libopenjpeg --enable-libvpx --enable-libass --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-libgme --enable-libopenmpt --enable-libo
pencore-amrwb --enable-libmp3lame --enable-libtheora --enable-libvo-amrwbenc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enab
le-librubberband
 libavutil 58. 2.100 / 58. 2.100
 libavcodec 60. 3.100 / 60. 3.100
 libavformat 60. 3.100 / 60. 3.100
 libavdevice 60. 1.100 / 60. 1.100
 libavfilter 9. 3.100 / 9. 3.100
 libswscale 7. 1.100 / 7. 1.100
 libswresample 4. 10.100 / 4. 10.100
 libpostproc 57. 1.100 / 57. 1.100
payload.wav: Invalid data found when processing input
</module>

I tried searching for solutions and I found one which says It appears that the code failed to load the audio file for some reason and even failed to display that error because e.stderr did not contain a valid UTF-8 string


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ffmpeg - convert MP4 to Panasonic Lumix playable MJPEG [closed]
21 août 2024, par Maro NattsI'm new to ffmpeg and ffprobe, I started using it to convert videos to show on 3DS and DSi for an art project.


Now I want to show my own videos on a Panasonic LUMIX digicam (DMC-FT2)(JPN), but have had trouble getting the device to play the video.


The digi takes videos in AVCHD Lite and Motion JPEG.


I've tried online converting mp4 to the respective formats + changing file name, but the device only recognises that it's there — refuses to/can't play it.


I also tried using this code to convert to MJPEG :

ffmpeg -i input.mp4 -c:v mjpeg -q:v 2 -an output.mjpeg

But no luck ! Changed the filename to match the others, the camera recognised the file is there, but can't play it.


So I used this code to get the information of a MJPEG video taken on the digi :

/opt/ffmpeg/ffprobe file.mp4 -show_streams -select_streams v -print_format json

and got the following, is it possible to convert my own video (mp4) to these settings ? So that it can play on the device ? If so how ?


Thanks !


Metadata:
 major_brand : qt 
 minor_version : 537331972
 compatible_brands: qt pana
 creation_time : 2024-08-21T21:54:59.000000Z
 Duration: 00:00:06.00, start: 0.000000, bitrate: 12287 kb/s
 Stream #0:0[0x1](eng): Video: mjpeg (Baseline) (jpeg / 0x6765706A), yuvj420p(pc, bt470bg/unknown/unknown), 640x480, 11083 kb/s, 30 fps, 30 tbr, 30 tbn (default)
 Metadata:
 creation_time : 2024-08-21T21:54:59.000000Z
 vendor_id : pana
 encoder : Photo - JPEG
 Stream #0:1[0x2](eng): Audio: pcm_s16be (twos / 0x736F7774), 16000 Hz, 1 channels, s16, 256 kb/s (default)
 Metadata:
 creation_time : 2024-08-21T21:54:59.000000Z
 vendor_id : pana
 "streams": [
 {
 "index": 0,
 "codec_name": "mjpeg",
 "codec_long_name": "Motion JPEG",
 "profile": "Baseline",
 "codec_type": "video",
 "codec_tag_string": "jpeg",
 "codec_tag": "0x6765706a",
 "width": 640,
 "height": 480,
 "coded_width": 640,
 "coded_height": 480,
 "closed_captions": 0,
 "film_grain": 0,
 "has_b_frames": 0,
 "pix_fmt": "yuvj420p",
 "level": -99,
 "color_range": "pc",
 "color_space": "bt470bg",
 "chroma_location": "center",
 "refs": 1,
 "id": "0x1",
 "r_frame_rate": "30/1",
 "avg_frame_rate": "30/1",
 "time_base": "1/30",
 "start_pts": 0,
 "start_time": "0.000000",
 "duration_ts": 180,
 "duration": "6.000000",
 "bit_rate": "11083093",
 "bits_per_raw_sample": "8",
 "nb_frames": "180",
 "disposition": {
 "default": 1,
 "dub": 0,
 "original": 0,
 "comment": 0,
 "lyrics": 0,
 "karaoke": 0,
 "forced": 0,
 "hearing_impaired": 0,
 "visual_impaired": 0,
 "clean_effects": 0,
 "attached_pic": 0,
 "timed_thumbnails": 0,
 "non_diegetic": 0,
 "captions": 0,
 "descriptions": 0,
 "metadata": 0,
 "dependent": 0,
 "still_image": 0
 },
 "tags": {
 "creation_time": "2024-08-21T21:54:59.000000Z",
 "language": "eng",
 "vendor_id": "pana",
 "encoder": "Photo - JPEG"
 }
 }
 ]
}



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avformat : Immersive Audio Model and Formats demuxer
25 novembre 2023, par James Almeravformat : Immersive Audio Model and Formats demuxer
Signed-off-by : James Almer <jamrial@gmail.com>
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