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• PHP-FFMPEG On Progress doesn't display until process is finished when encoding a video

  10 août 2022, par Ryan D

  Im running PHP-FFmpeg to encode videos which works great.

  


  https://github.com/PHP-FFMpeg/PHP-FFMpeg


  


  Using their example to get the current progress

  


  $ffmpeg = FFMpeg\FFMpeg::create();
$video = $ffmpeg->open('test.mp4');

$format = new FFMpeg\Format\Video\X264();
$format->on('progress', function ($video, $format, $percentage) {
    echo "$percentage % transcoded";
});

$video->save($format, 'encoded.mp4');


  


  The issue is the progress percentage doesn't display until the encoding is finished which doesn't really help out much. Id like to get the current percentage of encoding as it goes. Im just running this PHP file standalone, maybe I need to do an AJAX call or something to return the data ?

  


• Download billboard hot 100 (but only 50) mp3 files

  4 mars 2021, par Atlas

  Yo yo yo. I got this insane idea to get 50 of the billboard hot 100 songs, download them into mp3 files, and then put them on private online radio.

  


  Problem is, the way I do it doesn't download each file one by one, it puts all the music together in one mp3 file. Here's my code so far (terrible, I know... I just wanna throw this together really quickly)

  


  const { getChart } = require("billboard-top-100");
const ffmpeg = require("fluent-ffmpeg");
const { mkdir } = require("fs");
const ytdl = require("ytdl-core");
const YT = require("scrape-youtube").default;

getChart('hot-100', (err, chart) => {
    if(err) console.log(err);
    chart.songs.length = 50;
    for (var i = 0; i < chart.songs.length; i++) {
        var song = chart.songs[i];
        song.artist = song.artist.replace("Featuring", "feat.");
        var name = `${song.artist} - ${song.title}`;
        YT.search(name).then(res => {
            downloadVideo(res.videos[0].link, name).then(_ => { console.log(""); }).catch(console.log);
        }).catch(err => console.log(err));
    };
});

function downloadVideo(url, name) {
    return new Promise((resolve, reject) => {
        var stream = ytdl(url, { filter: "audioonly", quality: "highestaudio" });
        var start = Date.now();

        ffmpeg(stream)
            .audioBitrate(128)
            .save(`${__dirname}/${new Date().getWeek()}/${name}.mp3`)
            .on("end", _ => {
                console.log(`Downloaded "${name}.mp3" - Took ${(Date.now() - start) / 1000} seconds.`);
                resolve(`${name}.mp3`);
            })
            .on("error", _ => reject("something went wong"));
    });
}

Date.prototype.getWeek = function() {
  var onejan = new Date(this.getFullYear(),0,1);
  return Math.ceil((((this - onejan) / 86400000) + onejan.getDay()+1)/7);
}


  


• Unable to use Multithread for librosa melspectrogram

  15 avril 2019, par Raven Cheuk

  I have over 1000 audio files (it’s just a initial development, in the future, there will be even more audio files), and would like to convert them to melspectrogram.

  Since my workstation has a Intel® Xeon® Processor E5-2698 v3, which has 32 threads, I would like to use multithread to do my job.

  My code

  import os
  
  import librosa
  
  from librosa.display import specshow
  
  from natsort import natsorted
  
  import numpy as np
  
  import sys 
  
  # Libraries for multi thread
  
  from multiprocessing.dummy import Pool as ThreadPool
  
  import subprocess
  
  pool = ThreadPool(20) 
  
  
  
  songlist = os.listdir('../opensmile/devset_2015/')
  
  songlist= natsorted(songlist)
  
  
  
  def get_spectrogram(song):
  
      print("start")
  
      y, sr = librosa.load('../opensmile/devset_2015/' + song)
  
  
  
      ## Add some function to cut y
  
      y_list = y
  
      ##
  
  
  
      for i, y_i in enumerate([y_list]): # can remove for loop if no audio is cut
  
          S = librosa.feature.melspectrogram(y=y, sr=sr, n_mels=128,fmax=8000)
  
          try:
  
              np.save('./Test/' + song + '/' + str(i), S)
  
          except:
  
              os.makedirs('./Test/' + song)
  
              np.save('./Test/' + song + '/' + str(i), S)
  
          print("done saving")
  
  
  
  pool.map(get_spectrogram, songlist)

  My Problem

  However, my script freezes after finished the first conversion.

  To debug what’s going on, I commented out S = librosa.feature.melspectrogram(y=y, sr=sr, n_mels=128,fmax=8000) and replace it by S=0.
  Then the multi-thread code works fine.

  What’s wrong with the librosa.feature.melspectrogram function ? Does it not support multi-thread ? Or is it a problem of ffmpeg ? (When using librosa, it asks me to install ffmpeg before.)