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• transcode segment files without stutter for http live streaming

  28 juillet 2015, par zerocap

  I segmented a multicast video stream into small ts files for my HTTP live streaming service and it worked quite well. Then I found the bitrate of the source was too high (1.5mbps) so I set up a background job to transcode the ts files to a smaller bitrate (500kbps) using FFmpeg. The problem is that the 500k .m3u8 playback stutters(on every new file’s loading) and is not as smooth as the 1.5mbps one.

  My transcoding command line is like following :

  ffmpeg -i /home/rca/tst.ts -f mpegts -acodec libmp3lame -ar 48000 -ab 64k -vcodec libx264 -b 500k /home/rca/tst.ts

  Any ideas for this ? Thank you !

• How to stream MacOS desktop screen over local IP using ffmpeg or python or objective-C or Swift ?

  24 novembre 2024, par Akella Niranjan

  I am trying to build a service/application/script on MacBook that can help me share my desktop screen [Mirror my screen] over a local IP address.

  


  Or I want to display it on a webpage using flask framework using python.

  


  I just wish to look at my desktop screen along with the mouse movements on a web-browser, just like a Remote Desktop.

  


  I did try the following command, but when I try to open my browser and go to the IP address it just shows a blank screen

  


  sudo ffmpeg -f avfoundation -framerate 30 -pix_fmt uyvy422 -i "0" -listen 1 -f mp4 -movflags frag_keyframe+empty_moov -preset ultrafast -tune zerolatency  "http://localhost:8000"


  


  Please kindly help !!

  


• 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