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• Why are rectangular boxes ([]) showing instead of text in burned subtitles when using ffmpeg/MoviePy on Google Colab ?

  14 mai, par Lavish

  I'm working on a Python script that adds subtitles to a video using MoviePy and burns/hardcodes them directly onto the video. The subtitles contain Hindi text, and I’ve specified a custom font that supports Devanagari (Hindi) script.

  


  The code works perfectly fine on my local machine, the subtitles appear correctly with Hindi characters. However, when I run the same code on Google Colab, the subtitles display as rectangular boxes (something like this -> [][][]) instead of proper characters.

  


  Things I've tried :

  


  

  • Ensured the font used supports Hindi (I'm using NotoSansDevanagari-Regular.ttf renamed as font.ttf).

  


  • Uploaded the font to Colab and specified the full path correctly.

  


  • Verified that the text is passed as a proper Unicode string.

  


  


  Here's the code snippet :

  


  def add_subtitles(video_path, subtitles_path, output_path):
    """Adds subtitles using FFmpeg with proper path escaping."""
    # Convert to absolute paths and normalize
    
    video_path = os.path.abspath(video_path)
    subtitles_path = os.path.abspath(subtitles_path)
    output_path = os.path.abspath(output_path)


    # Subtitle path
    font_path = "input_files/font.ttf"
    font_path = os.path.abspath(font_path).replace("\\", "\\\\")
    subtitles_path_escaped = os.path.abspath(subtitles_path).replace("\\", "\\\\")
    
    # Escape backslashes in paths
    subtitles_path = subtitles_path.replace("\\", "\\\\")
    # Remove all files in final_videos
    [os.remove(os.path.join(base_dir, "final_videos", f)) for f in os.listdir(os.path.join(base_dir, "final_videos")) if os.path.isfile(os.path.join(base_dir, "final_videos", f))]

    os.makedirs(os.path.dirname(output_path), exist_ok=True)
    escaped_path = subtitles_path.replace(':', '\\:').replace('\\', '\\\\')

    cmd = [
    "ffmpeg",
    "-i", video_path,
    "-vf", f"subtitles={escaped_path}:force_style='FontFile={font_path}'",
    "-c:v", "libx264",
    "-c:a", "copy",
    "-preset", "fast",
    "-crf", "22",
    output_path
]


    # Debug: Print the exact command being executed
    print("Executing:", " ".join(cmd))
    try:
        subprocess.run(cmd, check=True, capture_output=True, text=True)
        print(f"✅ Success! Output saved to: {output_path}")
    except subprocess.CalledProcessError as e:
        print(f"❌ FFmpeg failed with error:\n{e.stderr}")



  


  What could be causing this issue on Colab, and how can I get non-English subtitles (like Hindi) to render properly when burning subtitles using MoviePy/ffmpeg in a Colab environment ?

  


• 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 ?