
Recherche avancée
Autres articles (51)
-
Personnaliser en ajoutant son logo, sa bannière ou son image de fond
5 septembre 2013, parCertains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;
-
Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
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
Sur d’autres sites (7465)
-
Error : Error : Cannot find module '@ffmpeg.wasm/core-mt' Require stack :
30 septembre 2023, par JamesI'm getting this error "Error : Error : Cannot find module '@ffmpeg.wasm/core-mt', When my code is deployed on Vercel (Node.js + TypeScript) Does I get confused because when I try to run the same code on my local machine it works fine


But as I deploy it on Vercel it gives that error. Obviously, i do have "@ffmpeg.wasm/core-mt" installed as said in the package https://github.com/FFmpeg-wasm/FFmpeg.wasm#installation So how do I fix it ?


I'm currently using it like this


import { FFmpeg } from "@ffmpeg.wasm/main";

async function myFunction() {
 const ffmpeg = await FFmpeg.create({
 core: "@ffmpeg.wasm/core-mt",
 log: true,
 });
}



However, in the docs, i see doing like this


import { FFmpeg } from "@ffmpeg.wasm/main";
 
 const ffmpeg = await FFmpeg.create({
 core: "@ffmpeg.wasm/core-mt",
 log: true,
 });

 async function myFunction() {
 // use ffmpeg here
 }



But then i start getting errors like "top-level 'await' expressions are only allowed when the 'module' option is set to 'es2022', 'esnext', 'system', 'node16', or 'nodenext', and the 'target' option is set to 'es2017' or higher."


I tried a couple of StackOverflow solutions but nothing works in my case. So what should I do ?


tsconfig.json :


{
 "compilerOptions": {
 "module": "CommonJS",
 "esModuleInterop": true,
 "allowSyntheticDefaultImports": true,
 "target": "es2017",
 "noImplicitAny": true,
 "moduleResolution": "node",
 "sourceMap": true,
 "outDir": "dist",
 "baseUrl": ".",
 "paths": {
 "*": ["node_modules/*", "src/types/*"]
 }
 },
 "include": ["./src/**/*", "src/firebase/serviceAccountKey.ts"]
 }



-
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 !


-
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>