Recherche avancée

Sur d’autres sites (7449)

• problem in making HLS using ffmpeg problem

  24 juin 2023, par AMZ

  I have a function do run in background and create m3u8 for some videos : (I is running in background and updating some fields in django).

  


  def convert_to_hls(episode):
    # Set the output directory for HLS files
output_dir = os.path.join(settings.MEDIA_ROOT, 'hls')
os.makedirs(output_dir, exist_ok=True)

# Set the input video file path
input_file_path = episode.videoFile.path

# Set the output filename and path for the HLS playlist
# filename = os.path.splitext(os.path.basename(input_file_path))[0]
characters = string.ascii_letters + string.digits
filename = ''.join(random.choice(characters) for _ in range(45))
playlist_path = os.path.join(output_dir, f'{filename}.m3u8')

# Set the output path for the HLS segments
segments_path = os.path.join(output_dir, f'{filename}_%05d.ts')

# Construct the ffmpeg command for HLS conversion
command = [
    'ffmpeg',
    '-i', input_file_path,
    '-c:v', 'libx264',
    '-crf', '23',
    '-preset', 'medium',
    '-c:a', 'aac',
    '-b:a', '128k',
    '-f', 'hls',
    '-hls_time', '10',
    '-hls_list_size', '0',
    '-hls_segment_filename', segments_path,
    playlist_path
]
# Execute the ffmpeg command
subprocess.run(command, check=True)

episode.hls_created = True
episode.hls_url = playlist_path.replace("/home/debian/project","")
episode.save()

return True


  


  this code works well for most of my videos but for some .mp4 files gets :

  


  [Fri Jun 23 17:05:47.511095 2023] [wsgi:error] [pid 19975:tid 140289048565504] Exception in thread Thread-1:
[Fri Jun 23 17:05:47.511198 2023] [wsgi:error] [pid 19975:tid 140289048565504] Traceback (most recent call last):
[Fri Jun 23 17:05:47.511244 2023] [wsgi:error] [pid 19975:tid 140289048565504]   File "/opt/bitnami/python/lib/python3.8/threading.py", line 932, in _bootstrap_inner
[Fri Jun 23 17:05:47.512078 2023] [wsgi:error] [pid 19975:tid 140289048565504]     self.run()
[Fri Jun 23 17:05:47.512124 2023] [wsgi:error] [pid 19975:tid 140289048565504]   File "/opt/bitnami/python/lib/python3.8/threading.py", line 870, in run
[Fri Jun 23 17:05:47.512707 2023] [wsgi:error] [pid 19975:tid 140289048565504]     self._target(*self._args, **self._kwargs)
[Fri Jun 23 17:05:47.512748 2023] [wsgi:error] [pid 19975:tid 140289048565504]   File "/home/debian/project/twapp/views/episode_backgrounds.py", line 41, in convert_to_hls
[Fri Jun 23 17:05:47.512950 2023] [wsgi:error] [pid 19975:tid 140289048565504]     subprocess.run(command, check=True)
[Fri Jun 23 17:05:47.512989 2023] [wsgi:error] [pid 19975:tid 140289048565504]   File "/opt/bitnami/python/lib/python3.8/subprocess.py", line 516, in run
[Fri Jun 23 17:05:47.513500 2023] [wsgi:error] [pid 19975:tid 140289048565504]     raise CalledProcessError(retcode, process.args,
[Fri Jun 23 17:05:47.513657 2023] [wsgi:error] [pid 19975:tid 140289048565504] subprocess.CalledProcessError: Command '['ffmpeg', '-i', '/home/debian/project/media/videos/introduction_to_raster_qBhrnAx.mp4', '-c:v', 'libx264', '-crf', '23', '-preset', 'medium', '-c:a', 'aac', '-b:a', '128k', '-f', 'hls', '-hls_time', '10', '-hls_list_size', '0', '-hls_segment_filename', '/home/debian/project/media/hls/ZN3fsJVEfTDEc8MFb5DrP7Y34JFNLj0hfWnGRZAwFdjuG_%05d.ts', '/home/debian/project/media/hls/ZN3fsJVEfTDEc8MFb5DrP7Y34JFNLj0hfWnGRZAwFdjuG.m3u8']' returned non-zero exit status 1.


  


  Also it does not work for .MOV files.

  


• Split mixed content into sections by scan type using FFmpeg ?

  7 août 2023, par Vivian

  Trying to deinterlace and detelecine "Star Trek : Voyager" and "Star Trek : Deep Space Nine" NTSC DVD rips made using MakeMKV without changing the total number of frames. The videos are a variable frame rate combination of interlaced, telecined, and progressive frames.

  


  I'd like to be able to convert each episode to a sequence of video clips, split by scan type, so I can then feed those individually into Selur's Hybrid for processing, then stitch them back together and feed the reconstructed video into Topaz Video AI.

  


  Is there a way to use FFmpeg to split a video into sections by scan type, and if so, how ?

  


  I've tried automated handling in Hybrid and HandBrake, but both created artifacts and left unfixed issues as a result of applying filters to frames that didn't need them as well as not applying filters to frames that did.

  


• Use ffmpeg to match an image to source frames in video [closed]

  25 mai 2024, par user22335954

  I'm trying to write an application to split a single video into multiple pieces based on the appearance of a specific image. (Think title cards). I have video files that may have more than one episode or content inside of a single file and I want them split anywhere I find that title card or image.

  


  My application works by the user providing a timestamp in the format of 00:00:00 to specify the title card image which is then used like this :

  


  ffmpeg -i FILE -qmin 1 -qscale:v 1 -vframes 00:00:00 -f image2 img.png


  


  Now I want to compare that image (img.png) to the source video file using the following example command I've found :

  


  ffmpeg -i FILE -loop 1 -i img.png -an -filter_complex "blend=difference:shortest=1,blackframe=90:20" -f null


  


  I've had to play around with the blackframe=90:20 values to get what I think are correct matches, but I don't understand what these values and/or the blackframe filter is actually controlling. The blend documentation : https://ffmpeg.org/ffmpeg-filters.html#Examples-46 doesn't seem to go into much detail about what is actually happening. I do understand the difference blend means I'm essentially looking for the smallest difference, indicating a frame match to my img, but beyond that I'm sort of just guessing.

  


  Additionally, the output shows a bunch of :

  


  [Parsed_blackframe_1 @ 0x5c1183081880] frame:195 pblack:99 pts:6506 t:6.506000 type:B last_keyframe:135


  


  Based on the frames I can parse those out to find the non-sequential frames and find how how many segments I expect in the video, but when I go to split them, I don't know how to translate the frame or the t value into a timestamp format of 00:00:00. Even for matches that I'm 100% sure of, the frame values don't seem to line up with what I expect. For example, from watching the video, I know that a perfect match occurs at exactly 00:01:45, but the blackframe data says the match occurs at frame 1471 or t:49.08 (the video has a framerate of 29.97). 1471 / 29.97 is indeed 49.08, but that does not correlate to the actual time of 1:45 (105 seconds). How can I convert these values into timestamps (or just show the timestamps of the frames) ?