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• How to ensure plt.savefig saves multiple images instead of one ?

  18 mars 2018, par Natalie

  I’m trying to save images after for each iteration to show how my neural network is learning.

  for iterations in range(1,1000):
  
      model.fit(x_train, 
  
                y_train, 
  
                batch_size=20, 
  
                epochs=1, 
  
                verbose=2)
  
  
  
  predictions = model.predict(X)
  
  plt.plot(X,predictions,'o')
  
  plt.plot(r, morse(r,De,Re,alpha))
  
  plt.xlabel(r'$r$') # internuclear separation distance
  
  plt.ylabel(r'$V(r)$') # morse potential energy
  
  plt.savefig('myfig'+str(iterations))
  
  plt.clf()

  Originally, I was able to save every image, however, it now only saves the last iteration image only. I wondered how I might be able to solve this issue ?

  Also, related the first question : using the images I’m saving, I’m trying to merge all the images together into a quick movie to show the training process. I’ve been using ffmpeg (see image below for syntax error), but I keep getting syntax errors. Could anyone guide me through what I might be doing wrong ? ffmpeg syntax error I’m getting

  Thanks in advance for helping me out - completely new to machine learning but using it for a university project, so apologies for my lack of understanding/mistakes !!

• Upload FFmpeg output directly to Amazon S3

  26 octobre 2017, par user1790300

  I am using the fluent-ffmpeg library with node.js to transcode videos originally in a flash movie format to the mp3 format with multiple resolutions, 1080p, etc.. Once the transcoding is complete, I would like to move the transcoded video to an s3 bucket.

  I pull the original .flv file from a source s3 bucket and pass the stream to the ffmpeg constructor function. The issue is after the transcoding completes, how do I then get the stream of the mp4 data to send to s3.

  Here is the code I have so far :

          var params = {
  
              Bucket: process.env.SOURCE_BUCKET,
  
              Key: fileName
  
          };
  
          s3.getObject(params, function(err, data) {
  
              if (err) console.log(err, err.stack); // an error occurred
  
  
  
              var format = ffmpeg(data)
  
              .size('854x480')
  
              .videoCodec('libx264')
  
              .format('flv')
  
              .toFormat('mp4');
  
              .on('end', function () {
  
                  //Ideally, I would like to do the uploading here
  
  
  
                  var params = {
  
                     Body: //{This is my confusion, how do I get the stream to add here?},
  
                     Bucket: process.env.TRANSCODED_BUCKET,
  
                     Key: fileName
  
                  };
  
                  s3.putObject(params, function (err, data) {
  
  
  
                 });
  
              })
  
              .on('error', function (err) {
  
                  console.log('an error happened: ' + err.message);
  
              });
  
  
  
          });

  For the code above, where can I get the transcoded stream to add to the "Body" property of the params object ?

  Update :

  Here is a revision of what I am trying to do :

  var outputStream: MemoryStream = new MemoryStream();
  
  
  
          var proc = ffmpeg(currentStream)
  
              .size('1920x1080')
  
              .videoCodec('libx264')
  
              .format('avi')
  
              .toFormat('mp4')
  
              .output(outputStream)
  
              // setup event handlers
  
              .on('end', function () {
  
                  uploadFile(outputStream, "").then(function(){
  
                      resolve();
  
                  })
  
              })
  
              .on('error', function (err) {
  
                  console.log('an error happened: ' + err.message);
  
              });

  I would like to avoid copying the file to the local filesystem from s3, rather I would prefer to process the file in memory and upload back to s3 when finished. Would fluent-ffmpeg allow this scenario ?

• DiscordJS Music Bot Connects and Then Immediately Disconnects From Voice Channel

  23 janvier 2020, par კΙбthebraɨɴs

  I see that questions similar to this one have been asked, and after following their solutions I still end up the same as I started. Below I have listed my code, a link to test it with a sample bot I created, and the modules you will need to test it using a self-hosted instance.

  My problem is that upon connecting to the specified voice channel, the bot immediately leaves afterwards without any signs of errors or exceptions. I’m not sure if it is a problem with my code, or with one of the libraries I am using. The only console output I receive is as follows :

  Bot Ready For Use
  
  joined channel
  
  left channel

  Thanks !

  My Code

  var voiceChannel = message.member.voiceChannel;
  
  
  
  if (!message.member.voiceChannel) return message.channel.send(`You do realize you have to be in a voice channel to do that, right ${message.author.username}?`)
  
  
  
  if (!message.member.voiceConnection) voiceChannel.join().then(async connection => {
  
  
  
      let streamURL = args.slice(1).join(" ")
  
      let streamTitle = "";
  
      let streamThumb = "";
  
      let streamAuth = "";
  
      let streamAuthThumb = "";
  
  
  
      if (streamURL.includes("https://www.youtube.com") || streamURL.includes("https://youtu.be/") && !streamURL.includes(' ')) {
  
          let results = await youtube.getVideo(streamURL)
  
  
  
          let {
  
              body
  
          } = await snekfetch.get(`https://www.googleapis.com/youtube/v3/channels?part=snippet&id=${results.channel.id}&fields=items%2Fsnippet%2Fthumbnails&key=${ytapikey}`).query({
  
              limit: 800
  
          })
  
  
  
          streamTitle = results.title
  
          streamThumb = results.thumbnails.medium.url
  
          streamAuth = results.channel.title
  
          streamAuthThumb = body.items[0].snippet.thumbnails.medium.url
  
  
  
      } else if (!streamURL.includes("https://www.youtube.com") || !streamURL.includes("https://youtu.be/")) {
  
  
  
          let results = await youtube.searchVideos(streamURL)
  
  
  
          let {
  
              body
  
          } = await snekfetch.get(`https://www.googleapis.com/youtube/v3/channels?part=snippet&id=${results[0].channel.id}&fields=items%2Fsnippet%2Fthumbnails&key=${ytapikey}`).query({
  
              limit: 800
  
          })
  
  
  
          streamURL = results[0].url
  
          streamTitle = results[0].title
  
          streamThumb = results[0].thumbnails.medium.url
  
          streamAuth = results[0].channel.title
  
          streamAuthThumb = body.items[0].snippet.thumbnails.medium.url
  
  
  
      } else {
  
          return message.reply("I can only play videos from YouTube (#NotSponsored).")
  
      }
  
  
  
      console.log("joined channel");
  
      const stream = ytdl('https://www.youtube.com/watch?v=gOMhN-hfMtY', {
  
          filter: 'audioonly'
  
      });
  
      const dispatcher = connection.playStream(stream, {
  
          seek: 0,
  
          volume: 1
  
      });
  
      dispatcher.on("end", end => {
  
          console.log("left channel");
  
          voiceChannel.leave();
  
      });
  
  
  
      let musicEmbed = new Discord.RichEmbed()
  
          .setAuthor(streamAuth, streamAuthThumb)
  
          .setTitle(`Now Playing:`)
  
          .addField(`${streamAuth}`, `${streamTitle}`)
  
          .setImage(streamThumb)
  
          .setColor(embedRed)
  
          .setFooter(`${streamAuth} - ${streamTitle} (${streamURL}`)
  
  
  
      message.channel.send(musicEmbed)
  
  
  
  }).catch(console.error);
  
  break

  List of Modules

  discord.js
  
  simple-youtube-api
  
  node-opus
  
  ffmpeg
  
  ffbinaries
  
  ffmpeg-binaries
  
  opusscript
  
  snekfetch
  
  node-fetch
  
  ytdl-core

  Click here to use my sample bot through repl.it.

  Thanks Again !