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• Android NDK - ffmpeg header files not found by compiler

  7 septembre 2015, par markt

  I am trying to use the ffmpeg libraries with Android NDK in the experimental plugin.

  I am attempting to compile this example :
  https://github.com/roman10/android-ffmpeg-tutorial/blob/master/android-ffmpeg-tutorial01/jni/tutorial01.c

  My problem is that the header files are not being found by the compiler :

  Error:(13, 32) libavcodec/avcodec.h: No such file or directory

  I added flags to build.grade :

  cppFlags += "-ilibavcodec -ilibavutil -ilibavformat -ilibswscale"
  
  ldFlags += "-llibavcodec -llibavutil -llibavformat -llibswscale"

  Which seems to keep lint happy, but not the compiler. (Not sure if I have done this right ?)

  I Have added the header files to the /jni folder :
  

  And build.grade looks like this :

  apply plugin: 'com.android.model.application'
  
  model {
  
      android {
  
          compileSdkVersion = 23
  
          buildToolsVersion = "23.0.1"
  
  
  
          defaultConfig.with { 
  
              applicationId = "roman10.tutorial.android_ffmpeg_tutorial01"
  
              minSdkVersion.apiLevel = 10
  
              targetSdkVersion.apiLevel = 23
  
  
  
          }
  
      }
  
  
  
      compileOptions.with {
  
          sourceCompatibility = JavaVersion.VERSION_1_7
  
          targetCompatibility = JavaVersion.VERSION_1_7
  
      }
  
  
  
      android.buildTypes {
  
          release {
  
              minifyEnabled = false
  
              proguardFiles += file('proguard-rules.pro')
  
          }
  
      }
  
  
  
  
  
      android.ndk {
  
          moduleName = "tutorial01"
  
          ldLibs += ["android","log","jnigraphics","z"]
  
          cppFlags += "-ilibavcodec -ilibavutil -ilibavformat -ilibswscale"
  
          ldFlags += "-llibavcodec -llibavutil -llibavformat -llibswscale"
  
      }
  
  }
  
  
  
  dependencies {
  
      compile fileTree(dir: 'libs', include: ['*.jar'])
  
      compile 'com.android.support:support-v4:23.0.1'
  
  }

  Thanks.

• FFmpeg destroys my Images

  14 septembre 2015, par dazzafact

  Rightnow iam trying to render a Video reading my image Folder with about 83 Images. Iam using this FFMPEG Snip :

   ffmpeg -f image2   -i images/*.jpg  -b 450k -r 30  zoom100.avi  2>&1

  But iam really frustrated, FFMPEG always replace all my Images with the first Image. And The video it also creates me is about 2 Frames long
  Here the FFMPEF Feedback

  ffmpeg version 0.8.17-4:0.8.17-0ubuntu0.12.04.1, Copyright (c) 2000-2014 the Libav developers
  
    built on Mar 16 2015 13:26:50 with gcc 4.6.3
  
  The ffmpeg program is only provided for script compatibility and will be removed
  
  in a future release. It has been deprecated in the Libav project to allow for
  
  incompatible command line syntax improvements in its replacement called avconv
  
  (see Changelog for details). Please use avconv instead.
  
  Input #0, image2, from 'images/0750.jpg':
  
    Duration: 00:00:00.04, start: 0.000000, bitrate: N/A
  
      Stream #0.0: Video: mjpeg, yuvj420p, 1280x1280 [PAR 72:72 DAR 1:1], 25 tbr, 25 tbn, 25 tbc
  
  [buffer @ 0x24a4220] w:1280 h:1280 pixfmt:yuvj420p
  
  [buffer @ 0x24a4a00] w:1280 h:1280 pixfmt:yuvj420p
  
  [buffer @ 0x24a52c0] w:1280 h:1280 pixfmt:yuvj420p
  
  [buffer @ 0x24a5b20] w:1280 h:1280 pixfmt:yuvj420p
  
  .....
  
  .....
  
  .....
  
  .....
  
  .....
  
  .....
  
  
  
  [buffer @ 0x24d4320] w:1280 h:1280 pixfmt:yuvj420p
  
  Incompatible pixel format 'yuvj420p' for codec 'mpeg4', auto-selecting format 'yuv420p'
  
  [buffer @ 0x24d03c0] w:1280 h:1280 pixfmt:yuvj420p
  
  [avsink @ 0x24ceea0] auto-inserting filter 'auto-inserted scaler 0' between the filter 'src' and the filter 'out'
  
  [scale @ 0x24cc460] w:1280 h:1280 fmt:yuvj420p -> w:1280 h:1280 fmt:yuv420p flags:0x4
  
  Output #0, image2, to 'images/0751.jpg':
  
    Metadata:
  
      encoder         : Lavf53.21.1
  
      Stream #0.0: Video: mjpeg, yuvj420p, 1280x1280 [PAR 72:72 DAR 1:1], q=2-31, 200 kb/s, 90k tbn, 25 tbc
  
  Output #1, image2, to 'images/0752.jpg':
  
    Metadata:
  
      encoder         : Lavf53.21.1
  
      Stream #1.0: Video: mjpeg, yuvj420p, 1280x1280 [PAR 72:72 DAR 1:1], q=2-31, 200 kb/s, 90k tbn, 25 tbc
  
  Output #2, image2, to 'images/0753.jpg':
  
    Metadata:
  
      encoder         : Lavf53.21.1
  
      Stream #2.0: Video: mjpeg, yuvj420p, 1280x1280 [PAR 72:72 DAR 1:1], q=2-31, 200 kb/s, 90k tbn, 25 tbc
  
      ....
  
      ....
  
      ....
  
      ....
  
  Output #82, image2, to 'images/0833.jpg':
  
    Metadata:
  
      encoder         : Lavf53.21.1
  
      Stream #82.0: Video: mjpeg, yuvj420p, 1280x1280 [PAR 72:72 DAR 1:1], q=2-31, 200 kb/s, 90k tbn, 25 tbc
  
  Output #83, avi, to 'zoom100.avi':
  
    Metadata:
  
      ISFT            : Lavf53.21.1
  
      Stream #83.0: Video: mpeg4, yuv420p, 1280x1280 [PAR 1:1 DAR 1:1], q=2-31, 450 kb/s, 30 tbn, 30 tbc
  
  Stream mapping:
  
    Stream #0.0 -> #0.0
  
    Stream #0.0 -> #1.0
  
    Stream #0.0 -> #2.0
  
    Stream #0.0 -> #3.0
  
    Stream #0.0 -> #4.0
  
      ....
  
      ....
  
  
  
    Stream #0.0 -> #80.0
  
    Stream #0.0 -> #81.0
  
    Stream #0.0 -> #82.0
  
    Stream #0.0 -> #83.0
  
  Press ctrl-c to stop encoding
  
  frame=    1 fps=  0 q=7.0 Lq=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=7.0 q=6.5 size=      -0kB time=0.03 bitrate=  -5.3kbits/s    
  
  video:16698kB audio:0kB global headers:0kB muxing overhead -100.000129%

• Latency issue with CMU Sphinx 4

  22 septembre 2015, par vijaym

  I have written the speech recognition application using CMU sphinx 4 and followed the details from this link. I have defined the Acoustic,Dictionary and Language Model as below

  configuration.setAcousticModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us");
  
  
  
  configuration.setDictionaryPath("resource:/edu/cmu/sphinx/models/en-us/cmudict-en-us.dict");
  
  
  
  configuration.setLanguageModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us.lm.bin");

  With the above configuration the 20 minutes of wav file takes almost close to 20 minutes to do the transcription.Hence than I tried to pass the user defined config.xml. I did n’t find the configuration manager option to pass the user defined config.xml with the current version of Sphinx4.Then I had written own recognizer by extending the AbstractSpeechRecognizer.java class(It may be useless) and changed few parameters of config.xml and I tried it but still no improvement.

  I have downloaded video and audio across multiple source and converted into WAV file using FFMPEG

  The command is as below

  ffmpeg -i input.mp3 -acodec pcm_s16le -ac 1 -ar 16000 output.wav

  Environment Details :

  Java 8

  Ubuntu 14.04

  RAM 4GB

  I5 Processor

  What I would like to know is, what I am missing here and how to improve the performance ?