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• Ideal bitrates for different video resolutions

  15 octobre 2018, par Ramesh Navi

  I am building a Video-on-demand service for a closed community. I using FFMPEG for video processing and dash.js for adaptive bitrate player with custom resolution selector. Can somebody please suggest what ideal bitrates should I use while video/audio transcoding ?

  I am talking about -b:v and -ab option

  ffmpeg -i vid.mp4 -c:v libvpx-vp9 -keyint_min 150 \
  
  -g 150 -tile-columns 4 -frame-parallel 1  -f webm -dash 1 \
  
  -an -vf scale=144:-1 -b:v 120k -dash 1 video_1.webm \
  
  -an -vf scale=240:-1 -b:v 250k -dash 1 video_2.webm \
  
  -an -vf scale=360:-1 -b:v 500k -dash 1 video_3.webm \
  
  -an -vf scale=480:-1 -b:v 750k -dash 1 video_4.webm \
  
  -an -vf scale=720:-1 -b:v 1500k -dash 1 video_5.webm

  And

  ffmpeg -i vid.mp4 -vn -acodec libvorbis -ab 96k -dash 1 audio_96k.webm

  Any suggestions/hacks or examples to tackle real-world network situations are appreciated.

• Make UDP-RTMP bridge with FFMPEG

  3 mai 2017, par Jorge Anzola

  I need to make this chain, using computer 2 as a "bridge" between Computer 1 and the streming server.

  Computer 1 ----> Computer 2 ----> Streaming server (Wowza).

  So I’m trying to set this :
  Computer 1 —(via UDP)—> Computer 2 —(Via RTMP)—> Wowza

  What I’ve tried :

  1. At Computer 1

  Entry :

  ffmpeg -i sample.mp4 -c:v copy -c:a copy -f mpegts udp://192.168.0.109:5010

  Result : Worked. Computer 1 sends the data correctly.

  2. At Computer 2

  Entry :

  ffmpeg -i upd://192.168.0.109:5010 output.mp4

  Result : Worked. Computer 2 gets data correctly. Output.mp4 is generated well.

  Entry :

  ffmpeg -i sample.mp4 -c:v copy -c:a copy -f flv rtmp://wowzaServerAddress

  Result : Worked. Wowza shows online the video from sample.mp4

  Entry :

  ffmpeg -re -i udp://@:5010 -f flv rtmp://wowzaServerAddress

  Result :

  stuck at :

  ffmpeg version N-77234-g906c0b7 Copyright (c) 2000-2015 the FFmpeg
  
  built with gcc 5.2.0 (GCC)
  
  configuration: --enable-gpl --enable-version3 --disable-w32threads --enable-avisynth --enable-bzlib --enable-fontconfig --enable-frei0r --enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libdcadec --enable-libfreetype --enable-libgme --enable-libgsm --enable-libilbc --enable-libmodplug --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libschroedinger --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvo-aacenc --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. 10.100 / 55. 10.100
  
  libavcodec 57. 17.100 / 57. 17.100
  
  libavformat 57. 20.100 / 57. 20.100
  
  libavdevice 57.0.100 / 57. 0.100
  
  libavfilter 6.21.100 / 6. 21.100
  
  libswscale 4.0.100 / 4. 0.100
  
  libswresample 2. 0.101 / 2. 0.101
  
  libpostproc 54. 0.100 / 54. 0.100
  
  **Entry:**
  
      ffmpeg -i udp://192.168.0.109:5010 -c:v copy -c:a copy -f flv rtmp://wowzaServerAddress
  
  **Result:**
  
  *... repeated a lot ...*
  
  Last message repeated 1 times
  
  [h264 @ 000001cef0462200] decode_slice_header error
  
  [h264 @ 000001cef0462200] no frame!
  
  *... repeated a lot ...*
  
   Input #0, mpegts, from 'udp://192.168.0.109:5010':
  
   Duration: N/A, start: 128.032333, bitrate: N/A
  
   Program 1
  
  Metadata:
  
  service_name: RARBG.COM - Spotlight.2015.1080p.WEB-DL.DD5.1.H264-RARBG
  
  service_provider: FFmpeg
  
  Stream #0:0[0x100]: Video: h264 (Main) ([27][0][0][0] / 0x001B), 
  
  yuv420p(tv, bt709), 1916x1032 [SAR 1:1 DAR 479:258], 23.98 fps, 23.98 tbr, 90k tbn, 180k tbc
  
  Stream #0:1[0x101](eng): Audio: aac (LC) ([15][0][0][0] / 0x000F), 48000 Hz, stereo, fltp, 200 kb/s
  
  [flv @ 000001cef132a1c0] Codec for stream 0 does not use global headers but container format requires global headers
  
  [flv @ 000001cef132a1c0] Codec for stream 1 does not use global headers but container format requires global headers
  
  Output #0, flv, to '**rtmp://wowzaServerAddress**':
  
  Metadata:
  
  encoder: Lavf57.20.100
  
  Stream #0:0: Video: h264 ([7][0][0][0] / 0x0007), yuv420p, 1916x1032 [SAR 
  
  1:1 DAR 479:258], q=2-31, 23.98 fps, 23.98 tbr, 1k tbn, 90k tbc
  
  Stream #0:1(eng): Audio: aac ([10][0][0][0] / 0x000A), 48000 Hz, stereo, 
  
  200 kb/s
  
  Stream mapping:
  
  Stream #0:0 - #0:0 (copy)
  
  Stream #0:1 - #0:1 (copy)
  
  Press [q] to stop, [?] for help
  
  [flv @ 000001cef132a1c0] Malformed AAC bitstream detected: use the audio 
  
  bitstream filter 'aac_adtstoasc' to fix it ('-bsf:a aac_adtstoasc' option with ffmpeg)
  
  av_interleaved_write_frame(): Invalid data found when processing input
  
  [flv @ 000001cef132a1c0] Malformed AAC bitstream detected: use the audio bitstream filter 'aac_adtstoasc' to fix it ('-bsf:a aac_adtstoasc' option with ffmpeg)
  
  [flv @ 000001cef132a1c0] Failed to update header with correct duration.
  
  [flv @ 000001cef132a1c0] Failed to update header with correct filesize.
  
  Error writing trailer of rtmp://**wowzaServerAddress**: Invalid data found when processing inputframe= 1 fps=0.0 q=-1.0 Lsize= 0kB time= 00:00:02.13 bitrate= 1.6kbits/s
  
  video:33kB audio:59kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown

  Conversion failed !

• 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.