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• Extract image of every frame of a video using react-native-ffmpeg

  1er octobre 2020, par EdG

  I have looked all over the internet to get a way to extract image of everyframe of a video using react-native-ffmpeg. I am making a mobile app and I want to show all per frame images on the video timeline. I want to do this natively on mobile so that I can utilise hardware power of mobile. That is the reason I am looking for react-native-ffmpeg kind of library. Am I in the right direction ? This npmjs.com/package/react-native-ffmpeg is what I am trying to use. I need to know the command to do the job.

  


• Google AppEngine flex as a transcoder [closed]

  6 septembre 2021, par jACK

  Situation :

  


  

  • A Nodejs/Express application running on appengine flex.

  


  • Using FFmpeg to cut videos, and merge different types of videos. 1080p 30fps videos, merged video duration usually around 8 hours.

  


  • Need for a massive amout of processing power for those edits.

  


  • The express server needs to be reachable 24/7 & flex is incredibly expensive if run on a 24/7 basis.

  


  


  Goal :

  


  

  • To have a cost efficient ffmpeg transcoder on a private enviroment =>

  


  • Flex instance as a maximum spec, but as its idle reduce the price significantly.

  


  


  Or is this a situation where a redesign is imminent ? eg. Compute Engine

  


  Tried approach

  


  

  • B8 Standard instance => Since the payload is pretty big, its causing the B8 instance to crash.

  


  


  Thanks.

  


• 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()