Sur d’autres sites (4083)

• Save a partial video file locally using NodeJS

  25 octobre 2017, par Sami

  I have a serverless web application that is deployed on AWS and I have to take a screenshot from an uploaded video to S3. I am using ffmpeg to extract the screenshot but the only drawback is that I have to download the video file first in order to let ffmpeg work with it.
  Knowing the fact I am using AWS Lambda and I don’t have limits for video length users might upload large files which makes AWS Lambda to hit the storage limit.
  To overcome this I thought of downloading a small chunk of the video and use it with ffmpeg to extract the thumbnail so using the S3.getOjbect method with range params I was able to download a chunk of the file but ffmpeg couldn’t understand it.
  Here is my code :

  s3.getObject({
  
    Bucket: bucketName,
  
    Key: key,
  
    Range: 'bytes=0-1048576'
  
  }, (err, data) => {
  
    fs.writeFile(fileName, data.Body, error => {
  
      if (error)
  
        console.log(error)
  
      else
  
        console.log('File saved');
  
    })
  
  })

  And the code to extract the thumbnail :

  const ffmpeg = require('fluent-ffmpeg');
  
  new ffmpeg(fileName).screenshots({
  
    timestamps: [0],
  
    filename: 'thumb.png',
  
    folder: '.'
  
  })

  And I am getting this error from ffmpeg

  Error: ffmpeg exited with code 1: ./test.mp4: Invalid data found when processing input

  I know there is a problem in saving the file like this but I couldn’t find any solution that solves my problem. If anybody has one that would be much appreciated.

  UPDATE :
  It turns out that ffmpeg does this for me, I just gave it the url and it downloaded what it needs to render the screenshot without the need to download the file locally and the code looks like this :

  const ffmpeg = require('fluent-ffmpeg');
  
  new ffmpeg(url).screenshots({
  
    timestamps: [0],
  
    filename: 'thumb.png',
  
    folder: '.'
  
  })

• Save image while face detection

  13 octobre 2017, par hidura

  Hello I’ve this app that save an image for everytime my face move something similar to the IG stories my problem is that the cellphone get very slow and the app close suddenly because of allocation memory problems I want to know how i can do this without slowing down the cellphone and dont receive the error of closing.

  The next code open the svg :

  @TargetApi(Build.VERSION_CODES.LOLLIPOP)
  
  private static Bitmap getBitmap(VectorDrawable vectorDrawable) {
  
      Bitmap bitmap = Bitmap.createBitmap(vectorDrawable.getIntrinsicWidth(),
  
              vectorDrawable.getIntrinsicHeight(), Bitmap.Config.ARGB_8888);
  
      Canvas canvas = new Canvas(bitmap);
  
      vectorDrawable.setBounds(0, 0, canvas.getWidth(), canvas.getHeight());
  
      vectorDrawable.draw(canvas);
  
      Log.e("", "getBitmap: 1");
  
      return bitmap;
  
  }
  
  
  
  private static Bitmap getBitmap(Context context, int drawableId) {
  
      Log.e("", "getBitmap: 2");
  
      Drawable drawable = ContextCompat.getDrawable(context, drawableId);
  
      if (drawable instanceof BitmapDrawable) {
  
          return BitmapFactory.decodeResource(context.getResources(), drawableId);
  
      } else if (drawable instanceof VectorDrawable) {
  
          return getBitmap((VectorDrawable) drawable);
  
      } else {
  
          throw new IllegalArgumentException("unsupported drawable type");
  
      }
  
  }

  The next one draw the svg below the position of the face.

      /**
  
       * Draws the face annotations for position on the supplied canvas.
  
       */
  
      @Override
  
      public void draw(Canvas canvas) {
  
          Face face = mFace;
  
          if (face == null) {
  
              return;
  
          }
  
  
  
          // Draws a circle at the position of the detected face, with the face's track id below.
  
          float x = translateX(face.getPosition().x + face.getWidth() / 2);
  
          float y = translateY(face.getPosition().y + face.getHeight() / 2);
  
          canvas.drawCircle(x, y, FACE_POSITION_RADIUS, mFacePositionPaint);
  
          canvas.drawText("id: " + mFaceId, x + ID_X_OFFSET, y + ID_Y_OFFSET, mIdPaint);
  
          canvas.drawText("happiness: " + String.format("%.2f", face.getIsSmilingProbability()), x - ID_X_OFFSET, y - ID_Y_OFFSET, mIdPaint);
  
          canvas.drawText("right eye: " + String.format("%.2f", face.getIsRightEyeOpenProbability()), x + ID_X_OFFSET * 2, y + ID_Y_OFFSET * 2, mIdPaint);
  
          canvas.drawText("left eye: " + String.format("%.2f", face.getIsLeftEyeOpenProbability()), x - ID_X_OFFSET*2, y - ID_Y_OFFSET*2, mIdPaint);
  
  
  
          // Draws a bounding box around the face.
  
          float xOffset = scaleX(face.getWidth() / 2.0f);
  
          float yOffset = scaleY(face.getHeight() / 2.0f);
  
          float left = x - xOffset;
  
          float top = y - yOffset;
  
          float right = x + xOffset;
  
          float bottom = y + yOffset;
  
          //bitmap = BitmapFactory.decodeResource(getOverlay().getContext().getResources(), R.drawable.ic_shirt);
  
  
  
          bitmap = getBitmap(getOverlay().getContext(), R.drawable.ic_tshirt);
  
          float eyeX = left-400;
  
  //        for(Landmark l : face.getLandmarks()){
  
  //            if(l.getType() == Landmark.LEFT_EYE){
  
  //                eyeX = l.getPosition().x + bitmap.getWidth() / 2;
  
  //            }
  
  //        }
  
  
  
          tshirt = Bitmap.createScaledBitmap(bitmap, (int) scaleX(bitmap.getWidth() / 2),
  
                  (int) scaleY(bitmap.getHeight()/2), false);
  
          float top_shirt=(face.getPosition().y + face.getHeight())+200;
  
          canvas.drawBitmap(tshirt, eyeX, top_shirt, new Paint());
  
  
  
  
  
          Canvas myCanvas = new Canvas(tshirt);
  
          myCanvas.drawBitmap(tshirt, eyeX, top_shirt, new Paint());
  
          HashMap args = new HashMap<>();
  
      args.put("tshirt", tshirt);
  
      new saveImg(args).execute();
  
          //canvas.drawRect(left, top, right, bottom, mBoxPaint);
  
      }

  This one save the image on the cellphone.

      package com.google.android.gms.samples.vision.face.facetracker;
  
  
  
  import android.graphics.Bitmap;
  
  import android.os.AsyncTask;
  
  import android.os.Environment;
  
  
  
  import java.io.File;
  
  import java.io.FileOutputStream;
  
  import java.util.ArrayList;
  
  import java.util.HashMap;
  
  
  
  /**
  
   * Created by diegohidalgo on 10/12/17.
  
   */
  
  
  
  public class saveImg extends AsyncTask {
  
      Bitmap tshirt;
  
      String name;
  
      saveImg(HashMap args){
  
          tshirt = (Bitmap)args.get("tshirt");
  
          File file=new File(Environment.getExternalStorageDirectory() + "/facedetection/");
  
          File[] list = file.listFiles();
  
          int count = 0;
  
          for (File f: list){
  
              String name = f.getName();
  
              if (name.endsWith(".png"))
  
                  count++;
  
  
  
          }
  
          name="img"+count+".png";
  
      }
  
  
  
      @Override
  
      protected Void doInBackground(Void... args) {
  
          File file = new File(Environment.getExternalStorageDirectory() + "/facedetection/"+ name);
  
  
  
          try {
  
              tshirt.compress(Bitmap.CompressFormat.PNG, 100, new FileOutputStream(file));
  
          } catch (Exception e) {
  
              e.printStackTrace();
  
  
  
          }
  
          System.gc();
  
          tshirt.recycle();
  
          tshirt= null;
  
          return null;
  
      }
  
  
  
      protected void onPostExecute() {
  
  
  
      }
  
  }

  This is the mistake that give me before close the app.

  10-13 10:38:17.526
  8443-8443/com.google.android.gms.samples.vision.face.facetracker
  W/art : Throwing OutOfMemoryError "Failed to allocate a 8916492 byte
  allocation with 1111888 free bytes and 1085KB until OOM" 10-13
  10:38:18.020
  8443-8443/com.google.android.gms.samples.vision.face.facetracker
  I/Process : Sending signal. PID : 8443 SIG : 9

  thanks in advance.

• JAVE (Java Audio Video Encoder) library exception only on Linux (CentOS 7)

  13 octobre 2017, par Linu Radu

  I’m using JAVE (Java Audio Video Encoder) library and the developed application is on windows.
  On windows the conversion of an .mp3 file is working fine but when I deployed on linux (CentOS 7) an exception is thrown.

  As I understand JAVE has also a wrapper around an ffmpeg executable.

  Here is my code :

  try {
  
          File source = new File(sourceFile);
  
          File target = new File(targetFile);
  
  
  
          final AudioAttributes audio = new AudioAttributes();
  
          audio.setCodec("libmp3lame");
  
          audio.setBitRate(88000);
  
          audio.setChannels(2);
  
          audio.setSamplingRate(44100);   
  
  
  
          EncodingAttributes attrs = new EncodingAttributes();
  
          attrs.setFormat("mp3");
  
          attrs.setAudioAttributes(audio);
  
  
  
          Encoder encoder = new Encoder();
  
          encoder.encode(source, target, attrs);
  
  } catch (EncoderException ex) {
  
      throw ex;
  
  }

  Exception :

  ...
  
  
  
  Caused by: it.sauronsoftware.jave.EncoderException: Error while opening codec for output stream #0.0 - maybe incorrect parameters such as bit_rate, rate, width or height
  
      at it.sauronsoftware.jave.Encoder.encode(Encoder.java:926)
  
      at it.sauronsoftware.jave.Encoder.encode(Encoder.java:713)
  
      at com.hft2.ejb.util.Mp3JaveEncoder.encode(Mp3JaveEncoder.java:36)
  
      ... 206 more

  Update

  Here is the official page : http://www.sauronsoftware.it/projects/jave/

  Full exception log : https://jpst.it/1678l

  Does anyone have any idea ?