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• No module named 'skvideo.io.ffmpeg' in the project

  12 juillet 2024, par kyobo

  Even 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**&#xA;Requirement already satisfied: scikit-video in /home/huishi/anaconda3/envs/sdb/python3.8/site-packages (1.1.11)&#xA;Requirement already satisfied: scipy in /home/huishi/anaconda3/envs/sdb/python3.8/site-packages (from scikit-video) (1.8.1)&#xA;Requirement already satisfied: pillow in /home/huishi/anaconda3/envs/sdb/python3.8/site-packages (from scikit-video) (9.2.0)&#xA;Requirement already satisfied: numpy in /home/huishi/anaconda3/envs/sdb/python3.8/site-packages (from scikit-video) (1.23.0)&#xA;(sd) huishi@huishi:~/workspace/projectsideo_python$ **sudo apt-get install ffmpeg**&#xA;正在读取软件包列表... 完成&#xA;正在分析软件包的依赖关系树       &#xA;正在读取状态信息... 完成       &#xA;ffmpeg 已经是最新版 (7:3.4.11-0ubuntu0.1)。&#xA;下列软件包是自动安装的并且现在不需要了：&#xA;  docker-scan-plugin gir1.2-goa-1.0 gir1.2-snapd-1&#xA;使用&#x27;sudo apt autoremove&#x27;来卸载它(它们)。&#xA;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。&#xA;(sd) huishi@huishi:~/workspace/projectsideo_python$ python RabbitMqUtils.py &#xA;The license has expired.&#xA;/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.&#xA;  tr_configs = yaml.load(f)&#xA;INFO: Created TensorFlow Lite XNNPACK delegate for CPU.&#xA;/home/huishi/anaconda3/envs/sdb/python3.8/site-packages/skvideo/__init__.py:306: UserWarning: ffmpeg/ffprobe not found in path: /usr/local/bin&#xA;  warnings.warn("ffmpeg/ffprobe not found in path: " &#x2B; str(path), UserWarning)&#xA;Traceback (most recent call last):&#xA;  File "RabbitMqUtils.py", line 17, in <module>&#xA;    from video_postprocess import post_Process&#xA;  File "/home/huishi/workspace/projectsideo_pythonideo_postprocess/post_Process.py", line 12, in <module>&#xA;    import skvideo.io&#xA;  File "/home/huishi/anaconda3/envs/sdb/python3.8/site-packages/skvideo/io/__init__.py", line 8, in <module>&#xA;    from .ffmpeg import *&#xA;ModuleNotFoundError: **No module named &#x27;skvideo.io.ffmpeg&#x27;**&#xA;(sd) huishi@huishi:~/workspace/projectsideo_python$&#xA;</module></module></module>

  


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

  


  How can I solve this problem ?

  


• Error : Error : Cannot find module '@ffmpeg.wasm/core-mt' Require stack :

  30 septembre 2023, par James

  I'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 Wimmah

  I 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&#xA;Traceback (most recent call last):&#xA;  File "/Users/willem/Desktop/Voice cloner/demo_cli.py", line 10, in <module>&#xA;    from encoder import inference as encoder&#xA;ModuleNotFoundError: No module named &#x27;encoder&#x27;&#xA;</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 !