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• qt-faststart : Fix the signedness of variables keeping the ftello return values

  29 octobre 2012, par Michael Niedermayer

  qt-faststart : Fix the signedness of variables keeping the ftello return values
  These variables are assigned the return values of ftello, which
  
  returns an off_t, which is a signed type. On errors, ftello returns
  
   1, thus make sure this error return value can be stored properly.
  Signed-off-by : Martin Storsjö <martin@martin.st>
  

  • [DBH] tools/qt-faststart.c

• PySceneDetect FFmpeg Not Available

  14 août 2023, par Dmitriy Pushkarev

  I already installed FFmpeg and this is available in terminal I can convert video and etc, but it's completely not available in PySceneDetect.

  


  pip installed FFmpeg-python and FFmpeg library and FFmpeg itself in system.

  


  PySceneDetect returns :

  


  ffmpeg could not be found on the system. Please install ffmpeg to enable video output support.


  


  I think trouble with path, but can't put path in PySceneDetect. I can use path to binary FFmpeg, only in ffmpeg-python library, like this and it's working

  


  This code working fine :

  


  Here i using only FFmpeg-python library

  


  stream = ffmpeg.input('vi0.mp4')
stream = ffmpeg.filter(stream, 'fps', fps=10, round='up')
stream = ffmpeg.output(stream, 'vi1.mp4')
ffmpeg.run(stream,cmd='./ffmpeg')


  


  But can't it to get work with PySceneDetect

  


  print(scenedetect.video_splitter.is_ffmpeg_available())


  


  return False

  


  split_video_ffmpeg(video_path, scene_list, show_progress=False)


  


  returns "ffmpeg could not be found on the system. Please install ffmpeg to enable video output support."

  


• How to upload object to a bucket in Google Cloud Platform from Python script

  7 juillet 2016, par Bryan

  The goal of this script is to extract audio from a video file using ffmpeg and upload it into a bucket on Google Cloud Platform each time it is called. Eventually I will have to extract audio from a large list of videos, so ideally I would want my script to extract and subsequently upload it into the cloud.

  My confusion is how to use GCP API to upload my object into a bucket. Any advice would be greatly appreciated !

  Link for reference : https://cloud.google.com/storage/docs/json_api/v1/json-api-python-samples#setup-code

  import subprocess
  
  import sys
  
  import re 
  
  
  
  fullVideo = sys.argv[1]
  
  title = re.findall('^([^.]*).*', fullVideo)
  
  title = str(title[0])
  
  subprocess.call('ffmpeg -i ' + fullVideo + ' -vn -ab 128k ' + title + '.flac', shell = True)
  
  
  
  def upload_object(bucket, filename, readers, owners):
  
      service = create_service()
  
  
  
      # This is the request body as specified:
  
      # http://g.co/cloud/storage/docs/json_api/v1/objects/insert#request
  
      body = {
  
          'name': filename,
  
      }
  
  
  
      # If specified, create the access control objects and add them to the
  
      # request body
  
      if readers or owners:
  
          body['acl'] = []
  
  
  
      for r in readers:
  
          body['acl'].append({
  
              'entity': 'user-%s' % r,
  
              'role': 'READER',
  
              'email': r
  
          })
  
      for o in owners:
  
          body['acl'].append({
  
              'entity': 'user-%s' % o,
  
              'role': 'OWNER',
  
              'email': o
  
          })
  
  
  
      # Now insert them into the specified bucket as a media insertion.
  
      # http://g.co/dev/resources/api-libraries/documentation/storage/v1/python/latest/storage_v1.objects.html#insert
  
      with open(filename, 'rb') as f:
  
          req = service.objects().insert(
  
              bucket=bucket, body=body,
  
              # You can also just set media_body=filename, but # for the sake of
  
              # demonstration, pass in the more generic file handle, which could
  
              # very well be a StringIO or similar.
  
              media_body=http.MediaIoBaseUpload(f, 'application/octet-stream'))
  
          resp = req.execute()
  
  
  
      return resp