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• After upgrade ffmpeg code doesn't working clip build

  11 février, par Tchoune

  I have a problem after upgrading ffmpeg from 4.2.2 to 5.2.2, my code no longer works. When I upload a video to my React-Native application I get a file corruption error on my FFmpeg python agent.
-> sends to Laravel which stores the video on the minio storage ; the video is available -> sends http to the minio key to download locally the mp4 video is corrupted on the minio too...
I have the impression that it's an error downloading the video locally that makes the video corrupt, but I have no idea how I can debug this problem.
If I upload the video directly from my web interface I don't have this problem. The only difference is processClipSynchronously which is set to True on mobile and False on web.

  


  Laravel Agent send to python microservice :

  


   // Store uploaded video file
        $videoFilePath = $this->storeVideoFile($learningGoal, $videoFile);

        // Add video to storyboard
        $agentResponse =  Http::post($this->agentUrl . 'learning-goals/' . $learningGoal->id . '/storyboards/' . $storyboardId .  '/chapters/' . $chapterId . '/videos',
            [
                'clip' => $videoFilePath,
                'processClipSynchronously' => $processClipSynchronously
            ]);


  


  Python agent video :

  


  @app.route('/learning-goals//storyboards//chapters//videos',
           methods=['post'])
def post_storyboard_videos(learning_goal_id, storyboard_id, chapter_id):
    storyboard = get_storyboard(learning_goal_id, storyboard_id)
    chapter, position = get_chapter(storyboard, chapter_id)

    if 'clip' in request.get_json():
        chapter['clip'] = request.get_json()['clip']
        if 'duration' in storyboard:
            del chapter['duration']
        if 'thumbnail' in storyboard:
            del chapter['thumbnail']
        if 'ncAudioPreviewPath' in chapter:
            del chapter['ncAudioPreviewPath']
        if 'trim_start' in chapter:
            del chapter['trim_start']
        if 'trim_end' in chapter:
            del chapter['trim_end']
        if 'perform_nc' in chapter:
            del chapter['perform_nc']
    else:
        abort(400)

    new_storyboard = create_new_version_storyboard(storyboard)

    if 'processClipSynchronously' in request.get_json() and request.get_json()['processClipSynchronously']:
        treat_clip(new_storyboard, chapter) #Mobile trigger here
    else:
        thread = StoppableThread(target=treat_clip, args=(new_storyboard, chapter))
        thread.daemon = True
        thread.start()

    chapter, position = get_chapter(new_storyboard, chapter_id)

    return json.loads(dumps(chapter))

def treat_clip(storyboard, chapter):
    logging.info(
        'start treating clip (' + chapter['clip'] + ') for learning goal : ' + str(storyboard['learningGoalId']))
    file = app.config['VOLUME_PATH'] + chapter['clip']
    os.makedirs(dirname(file), exist_ok=True)
    temp_files_to_remove = []

    if not os.path.exists(file):
        # Download file from S3 storage.
        s3.download_file(chapter['clip'], file)
        # Clean the file at the end (it's already in S3).
        temp_files_to_remove.append(file)
    else:
        logging.warn(f'Not downloading {chapter["clip"]} from S3 as it already exists on the filesystem')

    resolution_width, resolution_height = get_resolution(file)
    is_rotated_video = is_rotated(file)
    sample_aspect_ratio = get_sample_aspect_ratio(file)
    frame_rate = get_frame_rate(file)
    if not file.endswith(
            '.mp4') or resolution_width != 1920 or resolution_height != 1080 or is_rotated_video or sample_aspect_ratio != '1:1' or frame_rate > 60:
        chapter['clip'] = format_video(chapter['clip'], resolution_width, resolution_height, frame_rate,
                                       is_rotated_video, str(storyboard['learningGoalId']), 1920, 1080)
        file = app.config['VOLUME_PATH'] + chapter['clip']

        # Update file to S3 storage
        s3.upload_file(file, chapter['clip'])

        # Clean the new file at the end.
        temp_files_to_remove.append(file)

    clip = VideoFileClip(file)
    chapter['duration'] = float(clip.duration)
    thumbnail_relative_path = create_video_thumbnail(storyboard, clip, 0)
    ....


  


  It's VideoFileClip from moviepy who generate error : Moov atom not found
I think S3 not have time to download file, and corrumpt, but I don't know how to test or fix that

  


  thanks in advance

  


• fftp server stream server error- connection to tcp:10.10.X.X timeout=0 faild no route to host

  1er juillet 2023, par slowmonk

  When attempting to stream the webcam using RTSP, I encountered persistent timeout issues.

  


  https://hub.docker.com/r/aler9/rtsp-simple-server

  


  docker run -p 6020:8000 aler9/rtsp-simple-server:latest
2023/07/01 20:15:24 INF MediaMTX v0.23.7
2023/07/01 20:15:24 INF [RTSP] listener opened on :8554 (TCP), :8000 (UDP/RTP), :8001 (UDP/RTCP)
2023/07/01 20:15:24 INF [RTMP] listener opened on :1935
2023/07/01 20:15:24 INF [HLS] listener opened on :8888
2023/07/01 20:15:24 INF [WebRTC] listener opened on :8889 (HTTP)

$ sudo ffmpeg -f v4l2 -framerate 24 -video_size 480x480 -i /dev/video0 -f rtsp -rtsp_transport tcp rtsp://192.168.XXX.XXX:8554/webCamStream


  


  following error occur

  


  ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers
  built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)
  configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared
  libavutil      56. 70.100 / 56. 70.100
  libavcodec     58.134.100 / 58.134.100
  libavformat    58. 76.100 / 58. 76.100
  libavdevice    58. 13.100 / 58. 13.100
  libavfilter     7.110.100 /  7.110.100
  libswscale      5.  9.100 /  5.  9.100
  libswresample   3.  9.100 /  3.  9.100
  libpostproc    55.  9.100 / 55.  9.100
[video4linux2,v4l2 @ 0x5642e55137c0] The V4L2 driver changed the video from 480x480 to 640x480
[video4linux2,v4l2 @ 0x5642e55137c0] The driver changed the time per frame from 1/24 to 1/30
Input #0, video4linux2,v4l2, from '/dev/video0':
  Duration: N/A, start: 46142.014949, bitrate: 147456 kb/s
  Stream #0:0: Video: rawvideo (YUY2 / 0x32595559), yuyv422, 640x480, 147456 kb/s, 30 fps, 30 tbr, 1000k tbn, 1000k tbc
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> mpeg4 (native))
Press [q] to stop, [?] for help
[tcp @ 0x5642e55e34c0] Connection to tcp://10.10.1068:9988?timeout=0 failed: No route to host
Could not write header for output file #0 (incorrect codec parameters ?): No route to host
Error initializing output stream 0:0 --


  


• Getting ffmpeg to work on a nodejs server : Error : ffmpeg exited with code 1 : Output #0, wav, to 'output.wav'

  14 mai 2023, par Djaenike

  I need to convert an m4a buffer stream to a wav buffer stream. I'm trying to accomplish this through ffmpeg-static and fluent-ffmpeg on a nodejs backend. I'm using multer to process the buffer stream coming from the client, then pass it through a convertM4AToWAV, which

  


  Here is the code I'm using to establish ffmpeg and convert the buffer stream.

  


  const ffmpeg = require('fluent-ffmpeg');
const ffmpegStatic = require('ffmpeg-static');
ffmpeg.setFfmpegPath(ffmpegStatic);

...more code here for the api route...

const convertM4AToWAV = async (m4aBuffer) => {
  console.log(`buffer in: ${m4aBuffer}`);
  try {
    const wavBuffer = await ffmpeg(m4aBuffer)
      .toFormat('wav')
      .on('start', (command) => console.log('FFmpeg command:', command))
      .on('end', () => {
        console.log('Conversion complete.');
      })
      .save('output.wav');
    return wavBuffer;
  } catch (error) {
    console.error('Error converting audio buffer stream to wav:', error);
    throw error;
  }
};


  


  And here is the error message I'm seeing :

  


  //I can see the buffer come in
buffer in: ↑ftyp3gp4isom3gp4☺mdat????????.....
//I can see the command
FFmpeg command: ffmpeg -y -f wav output.wav
//Error message thrown
Error transcribing audio: Error: 13 INTERNAL: Request message serialization failure: invalid encoding
    at callErrorFromStatus
...file directory jibberish...
code: 13,
  details: 'Request message serialization failure: invalid encoding',
  metadata: Metadata { internalRepr: Map(0) {}, options: {} },
  note: 'Exception occurred in retry method that was not classified as transient'
}
error - uncaughtException: Error: ffmpeg exited with code 1: Output #0, wav, to 'output.wav':
Output file #0 does not contain any stream


  


  Any thoughts why this error is thrown ? My gut is telling me it's because I haven't configured ffmpeg correctly on the server.