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Autres articles (79)
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Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 est la première version de MediaSPIP stable.
Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Comme pour la version précédente, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...) -
Creating farms of unique websites
13 avril 2011, parMediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)
Sur d’autres sites (12258)
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No module named 'skvideo.io.ffmpeg' in the project
12 juillet 2024, par kyoboEven though I have installed the scikit-video and installed ffmpeg, I still meet this problem :

No module named 'skvideo.io.ffmpeg

Output :


(sd) huishi@huishi:~/workspace/projectsideo_python$ **pip install scikit-video**
Requirement already satisfied: scikit-video in /home/huishi/anaconda3/envs/sdb/python3.8/site-packages (1.1.11)
Requirement already satisfied: scipy in /home/huishi/anaconda3/envs/sdb/python3.8/site-packages (from scikit-video) (1.8.1)
Requirement already satisfied: pillow in /home/huishi/anaconda3/envs/sdb/python3.8/site-packages (from scikit-video) (9.2.0)
Requirement already satisfied: numpy in /home/huishi/anaconda3/envs/sdb/python3.8/site-packages (from scikit-video) (1.23.0)
(sd) huishi@huishi:~/workspace/projectsideo_python$ **sudo apt-get install ffmpeg**
正在读取软件包列表... 完成
正在分析软件包的依赖关系树 
正在读取状态信息... 完成 
ffmpeg 已经是最新版 (7:3.4.11-0ubuntu0.1)。
下列软件包是自动安装的并且现在不需要了：
 docker-scan-plugin gir1.2-goa-1.0 gir1.2-snapd-1
使用'sudo apt autoremove'来卸载它(它们)。
升级了 0 个软件包，新安装了 0 个软件包，要卸载 0 个软件包，有 20 个软件包未被升级。
(sd) huishi@huishi:~/workspace/projectsideo_python$ python RabbitMqUtils.py 
The license has expired.
/home/huishi/workspace/projectsideo_python/train_resource/train_split.py:12: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
 tr_configs = yaml.load(f)
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
/home/huishi/anaconda3/envs/sdb/python3.8/site-packages/skvideo/__init__.py:306: UserWarning: ffmpeg/ffprobe not found in path: /usr/local/bin
 warnings.warn("ffmpeg/ffprobe not found in path: " + str(path), UserWarning)
Traceback (most recent call last):
 File "RabbitMqUtils.py", line 17, in <module>
 from video_postprocess import post_Process
 File "/home/huishi/workspace/projectsideo_pythonideo_postprocess/post_Process.py", line 12, in <module>
 import skvideo.io
 File "/home/huishi/anaconda3/envs/sdb/python3.8/site-packages/skvideo/io/__init__.py", line 8, in <module>
 from .ffmpeg import *
ModuleNotFoundError: **No module named 'skvideo.io.ffmpeg'**
(sd) huishi@huishi:~/workspace/projectsideo_python$
</module></module></module>

I have tried to upgrade pip and skvideo but it doesn't work.


How can I solve this problem ?


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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"]
 }


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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 !


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