Recherche avancée

Sur d’autres sites (11694)

• 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.

• ffmpeg - Can't stably save rtsp stream to file

  20 août 2022, par André Luís

  I'm trying to save the RTSP stream of this camera to file. However, at some point I'll get the following errors, which will stop the process.

  


  


  video:331639kB audio:5199kB subtitle:0kB other streams:0kB global
headers:0kB muxing overhead : unknown

  


  


  And a bunch of these, before the previous one :

  


  


  Non-monotonous DTS in output stream 0:1 ; previous : 5439375, current :
5439283 ; changing to 5439376. This may result in incorrect timestamps
in the output file.

  


  


  Here is the command I'm running :

  


  ffmpeg "rtsp://192.168.0.100:554/cam/realmonitor?channel=1&subtype=0" -c copy -f segment -segment_time 00:01:00 -reset_timestamps 1 -segment_format mkv -strftime 1 /home/user/.camera/recordings/2022/8/19/%H_%M_%S.mkv


  


  I've tried adding each of these parameters and they all together :

  


  -fflags +autobsf+genpts -y -threads 1 -use_wallclock_as_timestamps 1 -dts_delta_threshold 0 -rtsp_transport tcp -i


  


  ffprobe :

  


  {
    "streams": [
        {
            "index": 0,
            "codec_name": "h264",
            "codec_long_name": "H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10",
            "profile": "Main",
            "codec_type": "video",
            "codec_tag_string": "[0][0][0][0]",
            "codec_tag": "0x0000",
            "width": 1920,
            "height": 1080,
            "coded_width": 1920,
            "coded_height": 1080,
            "closed_captions": 0,
            "film_grain": 0,
            "has_b_frames": 0,
            "pix_fmt": "yuvj420p",
            "level": 40,
            "color_range": "pc",
            "chroma_location": "left",
            "field_order": "progressive",
            "refs": 1,
            "is_avc": "false",
            "nal_length_size": "0",
            "r_frame_rate": "100/1",
            "avg_frame_rate": "0/0",
            "time_base": "1/90000",
            "start_pts": 9000,
            "start_time": "0.100000",
            "bits_per_raw_sample": "8",
            "extradata_size": 27,
            "disposition": {
                "default": 0,
                "dub": 0,
                "original": 0,
                "comment": 0,
                "lyrics": 0,
                "karaoke": 0,
                "forced": 0,
                "hearing_impaired": 0,
                "visual_impaired": 0,
                "clean_effects": 0,
                "attached_pic": 0,
                "timed_thumbnails": 0,
                "captions": 0,
                "descriptions": 0,
                "metadata": 0,
                "dependent": 0,
                "still_image": 0
            }
        },
        {
            "index": 1,
            "codec_name": "aac",
            "codec_long_name": "AAC (Advanced Audio Coding)",
            "profile": "LC",
            "codec_type": "audio",
            "codec_tag_string": "[0][0][0][0]",
            "codec_tag": "0x0000",
            "sample_fmt": "fltp",
            "sample_rate": "16000",
            "channels": 1,
            "channel_layout": "mono",
            "bits_per_sample": 0,
            "r_frame_rate": "0/0",
            "avg_frame_rate": "0/0",
            "time_base": "1/16000",
            "start_pts": 0,
            "start_time": "0.000000",
            "extradata_size": 2,
            "disposition": {
                "default": 0,
                "dub": 0,
                "original": 0,
                "comment": 0,
                "lyrics": 0,
                "karaoke": 0,
                "forced": 0,
                "hearing_impaired": 0,
                "visual_impaired": 0,
                "clean_effects": 0,
                "attached_pic": 0,
                "timed_thumbnails": 0,
                "captions": 0,
                "descriptions": 0,
                "metadata": 0,
                "dependent": 0,
                "still_image": 0
            }
        }
    ]
}


  


  I honestly don't know what else to do.

  


• how to configure ffserver to save the incoming feed in a different file every 30 mins or so

  29 mai 2014, par Muhammad Ali

  I want to have a backlog of my camera video in files of 30 mins duration. What i’ve read so far from the internet about ffserver has allowed me to connect all my cameras to ffserver using ffmpeg and receive the video on another system using VLC or ffplay .

  Now what I want is to store the camera video in a different file preferably named as time-stamp. And keep streaming the live video.

  Once there is a list of 30 mins files. I’d like to have a playlist which can be opened in VLC player of files that have been saved and can be played.

  sort of like a remote media player with video sources coming from ffserver with playlist and 30 mins duration video clips.