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• Installing "ffmpeg" package from setup.py in Apache Beam pipeline running on Google Cloud Dataflow

  17 avril 2019, par John Allard

  I’m trying to run an Apache Beam pipeline on Google Cloud Dataflow that utilizes FFmpeg to perform transcoding operations. As I understand it, since ffmpeg is not a python package (available through PIP), I need to install it from setup.py using the following lines

  # The output of custom commands (including failures) will be logged in the
  
  # worker-startup log.
  
  CUSTOM_COMMANDS = [
  
      ['apt-get', 'update'],
  
      ['apt-get', 'install', '-y', 'ffmpeg']]

  Unfortunately, this is not working. My pipeline is stalling and when I go to examine the logs I’m seeing this

  

  RuntimeError: Command ['apt-get', 'install', '-y', 'ffmpeg'] failed: exit code: 100

  It appears to be unable to find the package ’ffmpeg’. I’m curious as to why this is - ffmpeg is a standard package that should be available under apt-get.

• Google cloud speech to text not giving output for OGG & MP3 files

  27 avril 2021, par Vedant Jumle

  I am trying to perform speech to text on a bunch of audio files which are over 10 mins long. I don't want to waste storage on the cloud bucket by straight-up uploading wav files on it. So I am using ffmpeg to convert the files either to ogg or mp3 like :
ffmpeg -y -i audio.wav -ar 12000 -r 16000 audio.mp3

  


  ffmpeg -y -i audio.wav -ar 12000 -r 16000 audio.ogg

  


  For testing purpose I ran the speech to text service on a dummy wav file and it seemed to work, I got the text as expected. But for some reason it isn't detecting any speech when I use the ogg or mp3 file. I could not give amr files to work either.

  


  My code :

  


  def transcribe_gcs(gcs_uri):
    client = speech.SpeechClient()

    audio = speech.RecognitionAudio(uri=gcs_uri)
    config = speech.RecognitionConfig(
        encoding="OGG_OPUS", #replace with "LINEAR16" for wav, "OGG_OPUS" for ogg, "AMR" for amr
        sample_rate_hertz=16000,
        language_code="en-US",
    )
    print("starting operation")
    operation = client.long_running_recognize(config=config, audio=audio)
    response = operation.result()
    print(response)


  


  I have set up the authentication properly, so that is not a problem.

  


  When I run the speech to text service on the same audio but in ogg or mp3(I just comment out the encoding setting from the config for mp3) format, it gives no response, just prints out a line break and done.

  


  What can I do to fix this ?

  


• App crashes on Google TV when playing MP4 videos

  14 avril 2023, par fab

  I am having problems with an Android app that was developed for me. The issue occurs when playing MP4 videos ; the app plays them correctly, but at some point, the app crashes and exits. I have been reviewing errors using Android Studio, and the only error that appears is the following :

  


  2023-04-14 00:45:45.846 7221-7650 SurfaceUtils com.app.X D connecting to surface 0xbf0d2808, reason connectToSurface(reconnect) 2023-04-14 00:45:45.848 7221-7654 ACodec com.app.X E [OMX.amlogic.avc.decoder.awesome2] setPortMode on output to DynamicANWBuffer failed w/ err -2147483648 2023-04-14 00:45:45.855 7221-7334 com.app.X com.app.X I get_buffer_dataspace_setting get_metadata return 0 dataspace:268500992 2023-04-14 00:45:45.875 7221-7334 NdkImageReader com.app.X D acquireImageLocked: Overriding buffer format YUV_420_888 to 0x11. 2023-04-14 00:45:45.877 7221-7334 com.app.X com.app.X I get_buffer_dataspace_setting get_metadata return 0 dataspace:268500992 2023-04-14 00:45:45.887 7221-7280 MediaCodec com.app.X D keep callback message for reclaim 2023-04-14 00:45:45.896 7221-7334 com.app.X com.app.X I get_buffer_dataspace_setting get_metadata return 0 dataspace:268500992 2023-04-14 00:45:45.914 7221-7334 com.app.X com.app.X I get_buffer_dataspace_setting get_metadata return 0 dataspace:268500992 2023-04-14 00:45:45.915 7221-7654 SurfaceUtils com.app.X D disconnecting from surface 0xbf0d2808, reason setNativeWindowSizeFormatAndUsage 2023-04-14 00:45:45.915 7221-7654 SurfaceUtils com.app.X D connecting to surface 0xbf0d2808, reason setNativeWindowSizeFormatAndUsage 2023-04-14 00:45:45.915 7221-7654 SurfaceUtils com.app.X D set up nativeWindow 0xbf0d2808 for 1920x1080, color 0x11, rotation 0, usage 0x402b00 2023-04-14 00:45:45.915 7221-7654 ACodec com.app.X W [OMX.amlogic.avc.decoder.awesome2] setting nBufferCountActual to 9 failed: -1010 2023-04-14 00:45:45.922 7221-7654 ion com.app.X E ioctl c0084905 failed with code -1: Invalid argument 2023-04-14 00:45:45.928 7221-7654 ion com.app.X E ioctl c0084905 failed with code -1: Invalid argument 2023-04-14 00:45:45.943 7221-7334 com.app.X com.app.X I get_buffer_dataspace_setting get_metadata return 0 dataspace:268500992 2023-04-14 00:45:45.954 7221-7654 ion com.app.X E ioctl c0084905 failed with code -1: Invalid argument 2023-04-14 00:45:45.960 7221-7654 ion com.app.X E ioctl c0084905 failed with code -1: Invalid argument 2023-04-14 00:45:45.962 7221-7654 ion com.app.X E ioctl c0084905 failed with code -1: Invalid argument 2023-04-14 00:45:45.969 7221-7654 ion com.app.X E ioctl c0084905 failed with code -1: Invalid argument 2023-04-14 00:45:45.979 7221-7654 ion com.app.X E ioctl c0084905 failed with code -1: Invalid argument 2023-04-14 00:45:45.986 7221-7654 ion com.app.X E ioctl c0084905 failed with code -1: Invalid argument

  


  One clarification is that the app is built with IONIC and Angular.

  


  The FFMPEG code that converts the video in golang is as follows :

  


  func ConvertVideoFile(inputFileName, outputFileName string) error { err := ffmpeg_go.Input(inputFileName). Filter("scale", ffmpeg_go.Args{"800:600"}). Output(outputFileName, ffmpeg_go.KwArgs{ "c:v": "libx264", "profile:v": "high", "level": "3.1", "pix_fmt": "yuv420p", "preset": "medium", "crf": "23", "b:v": "782k", "r": "25", "c:a": "aac", "b:a": "2k", "ar": "48000", "movflags": "+faststart", "max_muxing_queue_size": "1024", }, ). OverWriteOutput().ErrorToStdOut().Run() return err }

  


  Remove this error 2023-04-14 00:45:45.848 7221-7654 ACodec com.app.X E [OMX.amlogic.avc.decoder.awesome2