Recherche avancée
Autres articles (57)
-
Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs -
Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page. -
Support audio et vidéo HTML5
10 avril 2011MediaSPIP utilise les balises HTML5 video et audio pour la lecture de documents multimedia en profitant des dernières innovations du W3C supportées par les navigateurs modernes.
Pour les navigateurs plus anciens, le lecteur flash Flowplayer est utilisé.
Le lecteur HTML5 utilisé a été spécifiquement créé pour MediaSPIP : il est complètement modifiable graphiquement pour correspondre à un thème choisi.
Ces technologies permettent de distribuer vidéo et son à la fois sur des ordinateurs conventionnels (...)
Sur d’autres sites (10782)
-
Converting MP3/MP4 to WAV in the Frontend Using ffmpegwasm with Next.js Results in Module Not Found Error
31 mars 2024, par ryumaI'm attempting to use ffmpegwasm in a Next.js project to convert MP3 or MP4 files to WAV format directly in the frontend. However, I encounter a "Module not found" error during the process. I have made sure to use the latest version of Next.js. Below is the error message and the code snippet where the issue occurs. I'm seeking assistance to resolve this problem, as it has become quite troubling.


error


./node_modules/@ffmpeg/ffmpeg/dist/esm/classes.js:104:27 Module not found
 102 | if (!this.#worker) {
 103 | this.#worker = classWorkerURL ?
> 104 | new Worker(new URL(classWorkerURL, import.meta.url), {
 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 105 | type: "module",
 106 | }) :
 107 | // We need to duplicated the code here to enable webpack


"use client"

import { FFmpeg } from "@ffmpeg/ffmpeg"
import { fetchFile, toBlobURL } from "@ffmpeg/util"
import React, { useEffect, useRef, useState } from "react"

export default function TestPage() {
 const [loaded, setLoaded] = useState(false)
 const ffmpegRef = useRef(new FFmpeg())
 const messageRef = useRef(null)

 useEffect(() => {
 load()
 }, [])

 const load = async () => {
 const baseURL = "https://unpkg.com/@ffmpeg/core@0.12.6/dist/umd"
 const ffmpeg = ffmpegRef.current
 ffmpeg.on("log", ({ message }) => {
 if (messageRef.current) messageRef.current.innerHTML = message
 console.log(message)
 })

 await ffmpeg.load({
 coreURL: await toBlobURL(`${baseURL}/ffmpeg-core.js`, "text/javascript"),
 wasmURL: await toBlobURL(`${baseURL}/ffmpeg-core.wasm`, "application/wasm"),
 })
 setLoaded(true)
 }

 const convertToWav = async ({ target: { files } }) => {
 const ffmpeg = ffmpegRef.current
 const file = files[0]

 await ffmpeg.writeFile("input.mp4", await fetchFile(file))
 await ffmpeg.exec(["-i", "input.mp4", "output.wav"])
 const data = await ffmpeg.readFile("output.wav")

 const url = URL.createObjectURL(new Blob([data.buffer], { type: "audio/wav" }))
 const link = document.createElement("a")
 link.href = url
 link.setAttribute("download", "output.wav")
 document.body.appendChild(link)
 link.click()
 }

 return (
 <div>
 {loaded ? (
 <>
 <input type="file" accept="audio/mp3,video/mp4" />
 <p ref="{messageRef}"></p>
 >
 ) : (
 <button>Load ffmpeg-core</button>
 )}
 </div>
 )
}



Attempted Solutions :


I've ensured that I'm using the latest version of Next.js.
I've tried various configurations for the ffmpeg instance.


Questions :


How can I resolve the "Module not found" error when using ffmpegwasm with Next.js ?
Are there any specific configurations or setups within Next.js that I need to be aware of to successfully use ffmpegwasm ?
Any guidance or assistance with this issue would be greatly appreciated. Thank you in advance for your help.


-
avfilter/dnn : Use dnn_backend_info_list to search for dnn module
7 mai 2024, par Zhao Zhiliavfilter/dnn : Use dnn_backend_info_list to search for dnn module
Signed-off-by : Zhao Zhili <zhilizhao@tencent.com>
Reviewed-by : Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by : Guo Yejun <yejun.guo@intel.com> -
Stuck in installing a voicecloner via Python (module not found)
25 novembre 2023, par WimmahI use Python 3.11.5


As a great Python n00b I enter this forum because I'm stuck with installing a Voice Cloner (for personal use to do a funny trick for X-mas with my family) Its this tool that i'm trying to install : https://github.com/CorentinJ/Real-Time-Voice-Cloning


With a little help of chatGTP I came quite far but for some reason the downloaded datasets cant be found. Instructions of the tool state :


Install intructions form Github
So my tree looks like this :


(base) willem@willems-air Voice cloner % tree
.
├── demo_cli.py
├── demo_toolbox.py
├── encoder_preprocess.py
├── encoder_train.py
├── saved_models
│   └── default
│   ├── encoder.pt
│   ├── synthesizer.pt
│   └── vocoder.pt
├── synthesizer_preprocess_audio.py
├── synthesizer_preprocess_embeds.py
├── synthesizer_train.py
└── vocoder_train.py

3 directories, 11 files


However, when I give the command to execute the demo, I get the message that a needed module cant be found :


(base) willem@willems-air Voice cloner % python demo_cli.py
Traceback (most recent call last):
 File "/Users/willem/Desktop/Voice cloner/demo_cli.py", line 10, in <module>
 from encoder import inference as encoder
ModuleNotFoundError: No module named 'encoder'
</module>

I build a tree that (for me) looks inline with the installation instructions...(And of course i downloaded the modules without any errors)
Here also the first lines of the command demo_cli.py where you also see the path :


import argparse
import os
from pathlib import Path

import librosa
import numpy as np
import soundfile as sf
import torch

from encoder import inference as encoder
from encoder.params_model import model_embedding_size as speaker_embedding_size
from synthesizer.inference import Synthesizer
from utils.argutils import print_args
from utils.default_models import ensure_default_models
from vocoder import inference as vocoder


if __name__ == '__main__':
 parser = argparse.ArgumentParser(
 formatter_class=argparse.ArgumentDefaultsHelpFormatter
 )
 parser.add_argument("-e", "--enc_model_fpath", type=Path,
 default="saved_models/default/encoder.pt",


I think i missed out a quite basic step here, but this far ChatGTP is looping and cant help any more, so I need a human tip i guess ;)


Thx in advance !


Syndiquer tout le site
