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• Converting png images series to webm with transparent white background from Daz3d

  25 août 2015, par James

  I’m trying to make a webm video with a transparent background from a Daz3D model.
  My process is export png image series with transparent background from Daz3D, use ffmpeg to convert png series to webm video.
  This was working well in Daz3D 4.6.

  But in Daz3D 4.8 the exported background is black instead of white, so when converted to webm is ok on Chrome as has the transparency, but on Firefox is black and has a halo (as Firefox does not support transparency so displays background).

  So I’m looking for a solution with Daz3D, or tools like ImageMagik.
  I almost got it with ImageMagik,

  convert -alpha extract *.png mask.png
  
  mogrify -flatten talk*.png
  
  for /f %x in ('dir /s /b blink*.png') do @composite -compose CopyOpacity mask-0.png %x %x

  But for some reason the final webm has a white background not transparent ...
  Some more info here,

  http://www.daz3d.com/forums/discussion/61237/daz3d-4-8-png-background-is-black

  and here,

  http://www.imagemagick.org/discourse-server/viewtopic.php?f=1&t=28214

  >
  Doh, okay I figured it out. My images were good, but I somehow have two different versions of ffmpeg on my computer and was using the wrong one that doesn’t seem to support transparency.

  Now it is working.

  My only issue is the last shell line,

  for /f %x in (’dir /s /b blink*.png’) do @composite -compose CopyOpacity mask-0.png %x %x

  This only uses mask-0.png, instead of mask-1 for blink01.png, mask-2 for blink02.png etc.

• 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.

• 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 ?