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• Ffmpeg HLS conversion error on AWS Lambda - ffmpeg was killed with signal SIGSEGV

  20 octobre 2023, par RtiM0

  I'm trying to convert video files into HLS streams on a AWS Lambda. The ffmpeg configuration I have setup works for normal (Non HLS) transcoding, but in case of HLS it throws the following error :

  


  stderr:
frame=  341 fps= 84 q=34.0 q=32.0 q=28.0 size=N/A time=00:00:12.52 bitrate=N/A speed= 3.1x    
frame=  385 fps= 85 q=34.0 q=31.0 q=27.0 size=N/A time=00:00:13.97 bitrate=N/A speed=3.08x    
frame=  433 fps= 86 q=33.0 q=30.0 q=27.0 size=N/A time=00:00:15.55 bitrate=N/A speed=3.08x    
[hls @ 0x702c480] Cannot use rename on non file protocol, this may lead to races and temporary partial files
[hls @ 0x702c480] Opening '/tmp/stream_0.m3u8' for writing
[hls @ 0x702c480] Opening '/tmp/stream_1.m3u8' for writing
[hls @ 0x702c480] Opening '/tmp/stream_2.m3u8' for writing
[hls @ 0x702c480] Opening '/tmp/master.m3u8' for writing
ffmpeg was killed with signal SIGSEGV


  


  And I error thrown by fluent-ffmpeg is this :

  


  2023-03-06T10:21:44.555Z    15a0a43b-5e24-42ac-ae72-fe04f0c72a3e    ERROR   Invoke Error    &#xA;{&#xA;    "errorType": "Error",&#xA;    "errorMessage": "ffmpeg was killed with signal SIGSEGV",&#xA;    "stack": [&#xA;        "Error: ffmpeg was killed with signal SIGSEGV",&#xA;        "    at ChildProcess.<anonymous> (/var/task/node_modules/fluent-ffmpeg/lib/processor.js:180:22)",&#xA;        "    at ChildProcess.emit (node:events:513:28)",&#xA;        "    at ChildProcess._handle.onexit (node:internal/child_process:291:12)"&#xA;    ]&#xA;}&#xA;</anonymous>

  


  This is the code I run on AWS Lambda to convert video files into HLS :

  


  export const compressToHLS = (sourcePath, outputFolder) =>
  new Promise((resolve, reject) => {
    Ffmpeg(sourcePath)
      .complexFilter([
        {
          filter: "split",
          options: "3",
          inputs: "v:0",
          outputs: ["v1", "v2", "v3"],
        },
        {
          filter: "scale",
          options: {
            w: 1280,
            h: 720,
          },
          inputs: "v1",
          outputs: "v1out",
        },
        {
          filter: "scale",
          options: {
            w: 960,
            h: 540,
          },
          inputs: "v2",
          outputs: "v2out",
        },
        {
          filter: "scale",
          options: {
            w: 640,
            h: 360,
          },
          inputs: "v3",
          outputs: "v3out",
        },
      ])
      .outputOptions([
        "-map [v1out]",
        "-c:v:0",
        "libx264",
        "-b:v 3000000",
        "-map [v2out]",
        "-c:v:1",
        "libx264",
        "-b:v 2000000",
        "-map [v3out]",
        "-c:v:2",
        "libx264",
        "-b:v 1000000",
      ])
      .outputOptions([
        "-map a:0",
        "-c:a:0 aac",
        "-b:a:0 96000",
        "-ar 48000",
        "-ac 2",
        "-map a:0",
        "-c:a:1 aac",
        "-b:a:1 96000",
        "-ar 48000",
        "-ac 2",
        "-map a:0",
        "-c:a:2 aac",
        "-b:a:2 96000",
        "-ar 48000",
        "-ac 2",
      ])
      .outputOptions([
        "-f hls",
        "-hls_time 10",
        "-hls_playlist_type vod",
        "-hls_flags independent_segments",
        "-hls_segment_type mpegts",
        `-hls_segment_filename ${outputFolder}/%v_%d.ts`,
        "-master_pl_name master.m3u8",
      ])
      .outputOption("-var_stream_map", "v:0,a:0 v:1,a:1 v:2,a:2")
      .outputOption("-preset veryfast")
      .output(`${outputFolder}/stream_%v.m3u8`)
      .on("start", (cmdline) => console.log(cmdline))
      .on("progress", (progress) => {
        let prog = Math.floor(progress.percent * 10) / 10;
        if (Math.round(prog) % 10 == 0) {
          console.log(`${prog}% complete`);
        }
      })
      .on("error", (err, stdout, stderr) => {
        if (err) {
          console.log(err.message);
          console.log("stdout:\n" + stdout);
          console.log("stderr:\n" + stderr);
          reject(err);
        }
      })
      .on("end", () => resolve())
      .run();
  });


  


  In this code the sourcePath is usually a presigned URL from S3 (But I have also tried to download a file on /tmp and setting sourcePath as the path to the downloaded file) and outputFolder is tmpdir() which is /tmp.

  


  I have the lambda settings configured to have 10GB of memory and 10GB of ephemeral storage (the maximum allowed).

  


• ffMPEG write two outputs with one encoder and several filters (segmentation, timecode)

  4 mai 2023, par Francois

  need some help after trying days on this. I'm able to process one input to two outputs with two encodings :

  


  ffmpeg -f dshow -i video="Integrated Camera" -c:v mpeg2video -b:v 50000k -vf "scale=1920:1080" -an -flags +global_header -f segment -segment_time 60 -segment_format mxf -strftime 1 -reset_timestamps 1 -minrate 50000k -maxrate 50000k -bufsize 50000k "C:\ffmpeg\Master\Master_%Y-%m-%d_%H-%M-%S.mxf" -b:v 50000k -vf "scale=1920:1080" -an -flags +global_header -f segment -segment_time 60 -segment_wrap 3 -segment_format mxf -reset_timestamps 1 -minrate 50000k -maxrate 50000k -bufsize 50000k "C:\ffmpeg\Backup\backup_%02d.mxf"


  


  But when i try to do something to get rid of the second encoding and working with "tee" filter, i run into the problem that the other filters will not work anymore. If i run this without the extra filters :

  


  ffmpeg -f dshow -i video="Integrated Camera" -c:v mpeg2video -an -f tee -map 0:v -an "Main.mxf|[f=mxf]Backup.mxf"


  


  This works but trying to add this filters after the -f tee filter will lead into an error. As well to define this before the tee filter will not work due to different filter settings in segmentation.

  


  I think the way how it could work is to split the output and use afterwards the tee filter. But i wasn't able to do. Maybe someone could help me here.

  


  Best

  


  Francois

  


• Unable to find a suitable output format for 'is' is : Invalid argument in fmmpeg

  26 janvier 2023, par Test000

  I want to make a python script to make a video in FFmpeg. I try a lot of solutions for example but I do not know Why I do not have permission to write. I have not any idea because ffmpeg errors are a little bit tricky

  


  my code :

  


  import os
import cv2

def calculate_quote_position(quote, max_length, video_width, video_height):
    if len(quote) > max_length:
        print("Quote is too long for the video.")
        return
    
    # Determine font size and alignment
    font = cv2.FONT_HERSHEY_SIMPLEX
    font_scale = 1.0
    thickness = 2
    (text_width, text_height), _ = cv2.getTextSize(quote, font, font_scale, thickness)
    
    # Calculate position for the quote
    x = int((video_width - text_width) / 2)
    y = int((video_height + text_height) / 2)
    
    return (x, y, text_width, text_height)

def create_video_from_audio_quote_picture(music_file, quote, font, font_size, font_color, background_picture, output_file, video_duration, video_width, video_height, max_length):
    quote_position = calculate_quote_position(quote, max_length, video_width, video_height)
    if not quote_position:
        print("The quote is too long for the video.")
        return
    # Create the FFmpeg command
    command = f"ffmpeg -loop 1 -t {video_duration} -i {background_picture} -i {music_file} -vf drawtext='fontfile={font}':text={quote}:fontcolor={font_color}:fontsize={font_size}:x={quote_position[0]}:y={quote_position[1]}' -shortest -c:v libx264 -c:a aac {output_file}"

    # Execute the command
    os.system(command)

music_file = "music.mp3"
quote = "This is a quote"
font = "Raleway-Bold.ttf"
font_size = 20
font_color = "white"
background_picture = "nature.png"
output_file = r"C:\Users\Lukas\Dokumenty\python_scripts\Billionare livestyle\output.mp4"
video_duration = 30
video_width = 1920
video_height = 1080
max_length = 30

create_video_from_audio_quote_picture(music_file, quote, font, font_size, font_color, background_picture, output_file, video_duration, video_width, video_height, max_length)


  


  my error :

  


  Input #0, image2, from 'nature.png':
  Duration: 00:00:00.04, start: 0.000000, bitrate: 569438 kb/s
  Stream #0:0: Video: mjpeg (Baseline), yuvj444p(pc, bt470bg/unknown/unknown), 1920x1080 [SAR 72:72 DAR 16:9], 25 fps, 25 tbr, 25 tbn, 25 tbc
Input #1, mp3, from 'music.mp3':
  Metadata:
    date            : 2020:12:15 01:00:00
    title           : Otnicka - Peaky Blinder (lyrics) | i am not outsider i'm a peaky blinder
    artist          : Jigzaw
    encoder         : Lavf58.29.100
  Duration: 00:02:31.78, start: 0.023021, bitrate: 128 kb/s
  Stream #1:0: Audio: mp3, 48000 Hz, stereo, fltp, 128 kb/s
    Metadata:
      encoder         : Lavf
  Stream #1:1: Video: mjpeg (Baseline), yuvj420p(pc, bt470bg/unknown/unknown), 320x240 [SAR 1:1 DAR 4:3], 90k tbr, 90k tbn, 90k tbc (attached pic)
    Metadata:
      comment         : Other
[NULL @ 000001575c0b0100] Unable to find a suitable output format for 'is'
is: Invalid argument