Sur d’autres sites (9726)

• How to run FFMPEG with —enable-libfontconfig on Amazon Lambda

  20 avril 2024, par Adrien Kaczmarek

  Problem

  


  I want to run FFmpeg on AWS Lambda (Amazon Linux 2) with the configuration --enable-libfontconfig enable.

  


  Situation

  


  I already have FFmpeg running on AWS Lambda without the configuration --enable-libfontconfig.

  


  Here is the step I took to run FFmpeg on AWS Lambda (see official guide) :

  


  

  • Connect to Amazon EC2 running on AL2 (environment used by Lambda for Python 3.11)

  


  • Download and package FFmpeg from John Van Sickle

  


  • Create a Lambda Layer with FFmpeg

  


  


  Unfortunately, the version built by John Van Sickle doesn't have the configuration --enable-libfontconfig enabled.

  


  Unsuccessful Trials

  


  I tried to rebuilt it from scratch following the installation guide but without success (and the guide doesn't install font related dependencies)

  


  I tried to install it with brew but the command brew install ffmpeg didn't succeed on AL2.

  


  I tried to install ffmpeg from ffmpeg-master-latest-linux64-gpl.tar.xz. Unfortunately, this build of ffmpeg doesn't run on AL2 :

  


  ffmpeg: /lib64/libm.so.6: version `GLIBC_2.27' not found (required by ffmpeg)
ffmpeg: /lib64/libpthread.so.0: version `GLIBC_2.28' not found (required by ffmpeg)
ffmpeg: /lib64/libc.so.6: version `GLIBC_2.27' not found (required by ffmpeg)
ffmpeg: /lib64/libc.so.6: version `GLIBC_2.28' not found (required by ffmpeg)


  


  Any help would be greatly appreciated,

  


  Please make sure your answer is up to date and tested. Too many answers out there are auto-generated, too generic, or simple redirect without context.

  


  Thank you

  


• MoviePY error when running in Docker Container using Amazon Elastic Container Service

  27 mai 2023, par Giba

  I'm developing a script that generates a video with the information provided by the user using Moviepy. The application runs in a docker container.

  


  In my test environment (locally) the application usually runs generating the videos as expected. However, when I deploy to the Amazon Elastic Container Instance environment, the application renders the following error :

  


  /tmp/334.mp31boi_q7b: Invalid data found when processing input
Here are the file infos returned by ffmpeg: 
ffmpeg version 4.2.2-static https://johnvansickle.com/ffmpeg/ Copyright (c) 2000-2019 the FFmpeg developers
built with gcc 8 (Debian 8.3.0-6)

libpostproc 55. 5.100 / 55. 5.100
libswresample 3. 5.100 / 3. 5.100
libswscale 5. 5.100 / 5. 5.100
libavfilter 7. 57.100 / 7. 57.100
libavdevice 58. 8.100 / 58. 8.100
libavformat 58. 29.100 / 58. 29.100
libavcodec 58. 54.100 / 58. 54.100
libavutil 56. 31.100 / 56. 31.100

configuration: 
--enable-gpl 
--enable-version3 
--enable-static 
--disable-debug 
--disable-ffplay 
--disable-indev=sndio 
--disable-outdev=sndio 
--cc=gcc 
--enable-fontconfig 
--enable-frei0r 
--enable-gnutls 
--enable-gmp 
--enable-libgme 
--enable-gray 
--enable-libaom 
--enable-libfribidi 
--enable-libass 
--enable-libvmaf 
--enable-libfreetype 
--enable-libmp3lame 
--enable-libopencore-amrnb 
--enable-libopencore-amrwb 
--enable-libopenjpeg 
--enable-librubberband 
--enable-libsoxr 
--enable-libspeex 
--enable-libsrt 
--enable-libvorbis 
--enable-libopus 
--enable-libtheora 
--enable-libvidstab 
--enable-libvo-amrwbenc 
--enable-libvpx 
--enable-libwebp 
--enable-libx264 
--enable-libx265 
--enable-libxml2 
--enable-libdav1d 
--enable-libxvid 
--enable-libzvbi 
--enable-libzimg

OSError: MoviePy error: failed to read the duration of file /tmp/334.mp31boi_q7b.


  


  To retrieve files sent by the user, I use tempfile.NamedTemporaryFile and manipulate them in memory. I make some slices in the audio to synchronize with images (as if they were slides) and to concatenate them I use the following :

  


  audio_concat = concatenate_audioclips(audio_clips)


  


  and at the end, I generate the video as follows :

  


  with tempfile.NamedTemporaryFile(prefix=video_path, suffix='', delete=False) as data:
    video.write_videofile(data.name, fps=24, codec="libx264", ffmpeg_params=['-f', 'mp4'], threads=multiprocessing.cpu_count())


  


  As said, everything works fine in the container locally, but the same does not happen in ECS.

  


  Does anyone have any idea what I might be doing wrong ?

  


  My Dockerfile

  


  FROM ubuntu:latest
ENV DEBIAN_FRONTEND noninteractive

WORKDIR /video_composer

COPY requirements.txt /video_composer/requirements.txt

RUN apt-get update && apt-get install -y software-properties-common gcc && \
    add-apt-repository -y ppa:deadsnakes/ppa

RUN apt-get update && apt-get install -y python3.11 python3-distutils python3-pip python3-apt
RUN apt-get -y update
RUN apt-get install -y ffmpeg

RUN pip install -r /video_composer/requirements.txt

RUN python3 -m certifi

COPY . /video_composer/

EXPOSE 8003

CMD ["uvicorn", "video_composer:app", "--proxy-headers", "--host", "0.0.0.0", "--port", "8003"]


  


  Some solutions consulted and no success

  


  Moviepy unable to read duration of file

  


  https://github.com/Zulko/moviepy/issues/116

  


  When trying to execute the mentioned solutions I continued to have the same error in the ECS but without errors locally.

  


• Upload a LIVE HLS output from FFMPEG to Amazon S3 bucket

  22 janvier 2023, par Pit Digger

  I have an ffmpeg command that outputs live hls stream from a vod file to local disk. I would like to upload the HLS chunks and manifest file in real time to Amazon S3 Bucket. Is it possible to upload it directly from memory ?

  


  Here is the ffmpeg command

  


  ffmpeg -stream_loop -1 -re -i bunny_1080p_30fps.mp4 -c:v libx264 \
-x264opts keyint=30:min-keyint=30:scenecut=-1 -tune zerolatency -s 1280x720 \
-b:v 1400k -bufsize 1400k -hls_start_number_source epoch -f hls stream.m3u8


  


  Note that I have checked all questions here but none of them do that for a live stream and for multiple files output like hls or dash stream.

  


  One option that I have tried is using node-watch module and upload file on change notification, but that does introduce some buffering. But if there was any better option. https://github.com/yuanchuan/node-watch