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• Sending Blobs from a Chrome Extension to a Node.js Process without WebSockets [closed]

  29 octobre 2023, par Matrix 404

  Question :
I have a Puppeteer script that runs a Chrome extension, which opens a webpage. The extension records that tab and sends the recorded blobs to the main Node.js process using WebSockets. The main process then streams these blobs to an RTMP server.

  


  I'm looking for an alternative method to send blobs to the main process without using WebSockets. Additionally, I want to know if it's possible to stream these blobs directly from the browser using FFmpeg wasm.

  


  Details :

  


  


  1. My current setup : Puppeteer script -> Chrome extension (recording) -> WebSockets -> Node.js process -> RTMP server.

     


  


  2. I'm exploring options to eliminate the use of WebSockets while maintaining the ability to send recorded blobs from the Chrome extension to the Node.js process efficiently.

     


  


  3. Is it possible to use FFmpeg wasm to stream blobs directly from the browser to an RTMP server ? If so, how can this be achieved ?

     


  


  


  Additional Information :

  


  

  • The technology stack I'm using includes Puppeteer, Chrome extension, Node.js, and FFmpeg.

  


  • Any code snippets, examples, or recommended libraries are greatly appreciated.

  


  


  Constraints :

  


  

  • Compatibility with modern browsers and reasonable performance are essential.

  


  • Ideally, the solution should work in a headless Chrome instance.

  


  


  Thank you for your assistance in finding an efficient solution to this problem !

  


  

  • The technology stack I'm using includes Puppeteer, Chrome extension, Node.js, and FFmpeg.

  


  • Any code snippets, examples, or recommended libraries are greatly appreciated.

  


  


• Concatenate list of streams with ffmpeg

  16 novembre 2019, par oioioi

  I’d like to write python code, automatically rearranging the scenes of a video. How do I use ffmpeg-python to concatenate a list of n streams/scenes ? What is the easiest way to merge those scenes with their audio counterpart ?
  Unfortunately, I couldn’t figure out how to do it properly.

  The status quo :

  import os
  
  
  
  import scenedetect
  
  from scenedetect.video_manager import VideoManager
  
  from scenedetect.scene_manager import SceneManager
  
  from scenedetect.frame_timecode import FrameTimecode
  
  from scenedetect.stats_manager import StatsManager
  
  from scenedetect.detectors import ContentDetector
  
  
  
  import ffmpeg
  
  
  
  STATS_FILE_PATH = 'stats.csv'
  
  
  
  def main():
  
  
  
      for root, dirs, files in os.walk('material'):
  
          for file in files:
  
              file = os.path.join(root, file)
  
              print(file)
  
              video_manager = VideoManager([file])
  
              stats_manager = StatsManager()
  
              scene_manager = SceneManager(stats_manager)
  
              scene_manager.add_detector(ContentDetector())
  
              base_timecode = video_manager.get_base_timecode()
  
              end_timecode = video_manager.get_duration()
  
  
  
              start_time = base_timecode
  
              end_time = base_timecode + 100.0
  
              #end_time = end_timecode[2]
  
  
  
              video_manager.set_duration(start_time=start_time, end_time=end_time)
  
              video_manager.set_downscale_factor()
  
              video_manager.start()
  
              scene_manager.detect_scenes(frame_source=video_manager)
  
  
  
              scene_list = scene_manager.get_scene_list(base_timecode)
  
  
  
              print('List of scenes obtained:')
  
              for i, scene in enumerate(scene_list):
  
                  print('    Scene %2d: Start %s / Frame %d, End %s / Frame %d' % (
  
                      i+1,
  
                      scene[0].get_timecode(), scene[0].get_frames(),
  
                      scene[1].get_timecode(), scene[1].get_frames(),))
  
  
  
                  start = scene[0].get_frames()
  
                  end = scene[1].get_frames()
  
  
  
                  print(start)
  
                  print(end)
  
  
  
                  (
  
                      ffmpeg
  
                      .input(file)
  
                      .trim(start_frame=start, end_frame=end)
  
                      .setpts ('PTS-STARTPTS')
  
                      .output('scene %d.mp4' % (i+1)) 
  
                      .run()
  
                  )
  
  
  
              if stats_manager.is_save_required():
  
                  with open(STATS_FILE_PATH, 'w') as stats_file:
  
                      stats_manager.save_to_csv(stats_file, base_timecode)
  
  
  
  if __name__ == "__main__":
  
      main()

• Looking for a Sales Development Representative (Jobs at Piwik)

  20 mai 2015, par Piwik Core Team — Jobs

  This blog post is a job offer at Piwik PRO for a Sales Development Representative. Please share this job ad if you know anyone who may be interested.

  Job description

  As a sales development rep your job will be to work with our sales team to identify and nurture sales opportunities. You will be one of the initial building blocks of our US operation, especially as we begin to scale it, so there will be plenty of opportunities for advancement within the company.

  Responsibilities

  • Generate new sales opportunities
  • Help to develop and improve sales strategies
  • Set up discussions with senior executives and evaluate their business needs
  • Manage and nurture a pipeline of prospects until a given stage
  • Use marketing & sales CRM tools

  Requirements

  • Desire to learn and succeed in sales
  • 1+ years of related experience
  • Advanced research skills
  • Ability to write professional emails
  • Native English proficiency with excellent verbal communication skills
  • Passion for technology

  Compensation

  Salary (full-time) + performance-based incentives

  Location

  Remote

  About Piwik PRO

  At Piwik and Piwik PRO we develop the leading open source web analytics platform, used by over 1.1M websites worldwide and is currently ranked the 7th most used web analytics tool in the world. Our vision is to build the best open alternative to Google Universal Analytics.

  The Piwik platform collects, stores and processes a lot of information : hundreds of millions of data points each month. We create intuitive, simple and beautiful reports that delight our users.

  Apply online

  To apply for this position, please Apply online here. We look forward to receiving your applications !