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• How to fix ffmpeg,js length error in react-js project | fix error in react project

  19 février 2024, par X3R0

  I've tried to import the ffmpeg js library into my react-typescript project, I can't really update my project's react version or react-scripts due to the current code base.

  


  Error

  


  ./node_modules/@ffmpeg/ffmpeg/dist/umd/ffmpeg.js
TypeError: REDACTED_PROJECT_ROOT\node_modules\@ffmpeg\ffmpeg\dist\umd\ffmpeg.js: Cannot read properties of undefined (reading 'length')


  


  Code

  


  import React, { useEffect, useRef, useState } from 'react';
import { FFmpeg } from '@ffmpeg/ffmpeg';

/* MORE CODE HERE */

const ffmpeg = new FFmpeg();
const baseURL = 'https://unpkg.com/@ffmpeg/core@0.12.6/dist/umd';
const coreURL = `${baseURL}/ffmpeg-core.js`;
const wasmURL = `${baseURL}/ffmpeg-core.wasm`;
const coreData = await fromURLToBlob(coreURL);
const wasmData = await fromURLToBlob(wasmURL);
const coreBlob = new Blob([coreData], { type: "text/javascript"});
const wasmBlob = new Blob([wasmData], { type: "application/wasm"});
await ffmpeg.load({
    coreURL: fromBlobToURL(coreBlob),
    wasmURL: fromBlobToURL(wasmBlob),
});       

/* MORE CODE HERE */


  


  Versions

  


  npm v8.19.4
node v16.20.2


  


  tsconfig.json

  


  {
  "compilerOptions": {
    "target": "es5",
    "lib": [
      "dom",
      "dom.iterable",
      "esnext"
    ],
    "allowJs": true,
    "skipLibCheck": true,
    "esModuleInterop": true,
    "allowSyntheticDefaultImports": true,
    "strict": false,
    "forceConsistentCasingInFileNames": true,
    "noFallthroughCasesInSwitch": true,
    "module": "esnext",
    "moduleResolution": "node",
    "resolveJsonModule": true,
    "isolatedModules": true,
    "noEmit": true,
    "jsx": "react-jsx"
  },
  "include": [
    "src"
  ]
}



  


  package.json

  


  {
  "name": "frontend",
  "version": "0.1.0",
  "private": true,
  "dependencies": {
    "@emotion/react": "^11.10.4",
    "@emotion/styled": "^11.10.4",
    "@ffmpeg/ffmpeg": "^0.12.10",
    "@material-ui/core": "^4.12.3",
    "@mui/base": "^5.0.0-beta.36",
    "@mui/icons-material": "^5.10.3",
    "@mui/material": "^5.15.10",
    "@mui/x-data-grid": "^6.19.2",
    "@mui/x-data-grid-pro": "^6.19.2",
    "@reduxjs/toolkit": "^1.8.5",
    "@testing-library/jest-dom": "^5.14.1",
    "@testing-library/react": "^11.2.7",
    "@testing-library/user-event": "^12.8.3",
    "@toast-ui/editor": "^3.1.3",
    "@toast-ui/react-editor": "^3.1.3",
    "@types/jest": "^29.0.1",
    "@types/node": "^18.7.17",
    "@types/react": "^17.0.49",
    "@types/react-dom": "^18.0.6",
    "@zalando/oauth2-client-js": "^0.0.18",
    "ajv": "^8.12.0",
    "ajv-errors": "^3.0.0",
    "apexcharts": "^3.28.1",
    "arraybuffer-concat": "^0.0.1",
    "axios": "^1.4.0",
    "base64-blob": "^1.4.1",
    "bootstrap": "^5.1.1",
    "datetime-diff": "^0.2.1",
    "fuzzy-time": "^1.0.7",
    "jquery": "^3.6.0",
    "jso": "^4.1.1",
    "luxon": "^2.3.0",
    "pretty-bytes": "^5.6.0",
    "react": "^17.0.2",
    "react-apexcharts": "^1.3.9",
    "react-beautiful-dnd": "^13.1.0",
    "react-bootstrap": "^2.0.0-rc.0",
    "react-dom": "^17.0.2",
    "react-export-excel": "^0.5.3",
    "react-facebook": "^9.0.12",
    "react-helmet": "^6.1.0",
    "react-icons": "^4.3.1",
    "react-media-recorder": "^1.6.6",
    "react-notifications": "^1.7.2",
    "react-pages": "^0.4.4",
    "react-redux": "^7.2.8",
    "react-router": "^5.2.1",
    "react-router-dom": "^5.2.1",
    "react-scripts": "4.0.3",
    "react-toastify": "^8.0.2",
    "react-tooltip": "^4.2.21",
    "react-webcam": "^6.0.0",
    "recharts": "^2.1.8",
    "redux": "^4.2.0",
    "redux-thunk": "^2.4.1",
    "typescript": "^4.8.3",
    "web-vitals": "^1.1.2",
    "website-popup": "^3.0.0"
  },
  "scripts": {
    "start": "react-scripts start",
    "build": "set NODE_OPTIONS=--max-old-space-size=4096 && react-scripts build --GENERATE_SOURCEMAP=false",
    "test": "react-scripts test",
    "eject": "react-scripts eject"
  },
  "eslintConfig": {
    "extends": [
      "react-app"
    ]
  },
  "browserslist": {
    "production": [
      ">0.2%",
      "not dead",
      "not op_mini all"
    ],
    "development": [
      "last 1 chrome version",
      "last 1 firefox version",
      "last 1 safari version"
    ]
  },
  "devDependencies": {
    "@babel/plugin-proposal-nullish-coalescing-operator": "^7.18.6"
  }
}



  


• FFMPEG - Converting all images that are uploaded to MP4s

  10 juin 2016, par programmer12

  I have created some FFMPEG codes to execute once an video has been loaded. I am still fairly new at this, so please give as much information as possible.

  // ffmpeg Location
  
  $ffmpeg = 'c:\ffmpeg\bin\ffmpeg.exe';
  
  $ffprobe = 'c:\ffmpeg\bin\ffprobe.exe';
  
  
  
  // Video Filename Dir
  
  $video0 = $caption->row()->vidFile;
  
  // ex. output: upload/user/vid23.mov 
  
  
  
  // Video Filename only
  
  $video1 = explode('/',$video0);
  
  $video2 = $video1[2];
  
  // ex. output = vid23.mov;
  
  
  
  // Remove Extensions
  
  function extensions ($video2) 
  
  { 
  
       $filename = strtolower($video2); 
  
       $exts = explode(".", $video2); 
  
       $n = count($exts)-2; 
  
       $exts = $exts[$n]; 
  
       return $exts; 
  
   } 
  
  
  
       $ext2 = extensions($video2);
  
  // ex. output = vid23;
  
  
  
       //Convert all files to Mp4s
  
       //exec("$ffmpeg -i $video0 -vcodec copy -acodec copy $ext2.mp4");
  
       exec("$ffmpeg -i $video0 -vcodec libx264 -vf scale=-1:360 -qscale 7 -acodec libfdk_aac -ab 32 -ar 24000 $ext2.mp4");

  Am I doing something incorrect ? It works when I test it on my test location, but once I moved it into production useing Codeigniter Framework. It’s not working (Well, correction, just this part is not working - My image thumbnail does what is needed)

  Please help in anyway possible. Thanks !

  EDIT

  The main issue with the code is it will totally skip over the section and not execute at all. I didn’t receive any error messages. Another issue is the file tends to codec error because of the moov data (bytes 0-32/33). I did do some reading, but since I’m not familiar with FFMPEG it is hard to read or understand.

  Example site : http://askubuntu.com/questions/396883/how-to-simply-convert-video-files-i-e-mkv-to-mp4

  I used that site as a base.

  ERROR LOG INFO

  Updated the FFMPEG exec script to the following

  exec("$ffmpeg -i $video0 -vcodec libx264 -vf scale=-2:360 
  
  -acodec libfdk_aac -ab 32k -pix_fmt yuv420p -movflags +faststart 
  
  -ar 24000 $ext2.mp4 2> log/error_log.txt");

  The Error log printed out the following

  ffmpeg version N-80101-gd970f7b Copyright (c) 2000-2016 the FFmpeg developers
  
  built with gcc 5.3.0 (GCC)
  
   configuration: --enable-gpl --enable-version3 --disable-w32threads 
  
   --enable-nvenc --enable-avisynth --enable-bzlib --enable-fontconfig 
  
   --enable-frei0r --enable-gnutls --enable-iconv --enable-libass 
  
   --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libfreetype 
  
   --enable-libgme --enable-libgsm --enable-libilbc --enable-libmodplug 
  
   --enable-libmfx --enable-libmp3lame --enable-libopencore-amrnb 
  
   --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus 
  
   --enable-librtmp --enable-libschroedinger --enable-libsnappy 
  
   --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame 
  
   --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis 
  
   --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 
  
   --enable-libx265 --enable-libxavs --enable-libxvid --enable-libzimg 
  
   --enable-lzma --enable-decklink --enable-zlib
  
  libavutil      55. 24.100 / 55. 24.100
  
  libavcodec     57. 43.100 / 57. 43.100
  
  libavformat    57. 37.100 / 57. 37.100
  
  libavdevice    57.  0.101 / 57.  0.101
  
  libavfilter     6. 46.100 /  6. 46.100
  
  libswscale      4.  1.100 /  4.  1.100
  
  libswresample   2.  0.101 /  2.  0.101
  
  libpostproc    54.  0.100 / 54.  0.100
  
  upload/user/vid53.mp4: No such file or directory

• libavfi/dnn : add LibTorch as one of DNN backend

  15 mars 2024, par Wenbin Chen

  libavfi/dnn : add LibTorch as one of DNN backend
  PyTorch is an open source machine learning framework that accelerates
  
  the path from research prototyping to production deployment. Official
  
  website : https://pytorch.org/. We call the C++ library of PyTorch as
  
  LibTorch, the same below.
  To build FFmpeg with LibTorch, please take following steps as
  
  reference :
  
  1. download LibTorch C++ library in
  
   https://pytorch.org/get-started/locally/,
  
  please select C++/Java for language, and other options as your need.
  
  Please download cxx11 ABI version :
  
   (libtorch-cxx11-abi-shared-with-deps-*.zip).
  
  2. unzip the file to your own dir, with command
  
  unzip libtorch-shared-with-deps-latest.zip -d your_dir
  
  3. export libtorch_root/libtorch/include and
  
  libtorch_root/libtorch/include/torch/csrc/api/include to $PATH
  
  export libtorch_root/libtorch/lib/ to $LD_LIBRARY_PATH
  
  4. config FFmpeg with ../configure —enable-libtorch \
  
   —extra-cflag=-I/libtorch_root/libtorch/include \
  
   —extra-cflag=-I/libtorch_root/libtorch/include/torch/csrc/api/include \
  
   —extra-ldflags=-L/libtorch_root/libtorch/lib/
  
  5. make
  To run FFmpeg DNN inference with LibTorch backend :
  
  ./ffmpeg -i input.jpg -vf \
  
  dnn_processing=dnn_backend=torch:model=LibTorch_model.pt -y output.jpg
  The LibTorch_model.pt can be generated by Python with torch.jit.script()
  
  api. https://pytorch.org/tutorials/advanced/cpp_export.html. This is
  
  pytorch official guide about how to convert and load torchscript model.
  
  Please note, torch.jit.trace() is not recommanded, since it does
  
  not support ambiguous input size.
  Signed-off-by : Ting Fu <ting.fu@intel.com>
  
  Signed-off-by : Wenbin Chen <wenbin.chen@intel.com>
  
  Reviewed-by : Guo Yejun <yejun.guo@intel.com>
  

  • [DH] configure
  • [DH] libavfilter/dnn/Makefile
  • [DH] libavfilter/dnn/dnn_backend_torch.cpp
  • [DH] libavfilter/dnn/dnn_interface.c
  • [DH] libavfilter/dnn_filter_common.c
  • [DH] libavfilter/dnn_interface.h
  • [DH] libavfilter/vf_dnn_processing.c