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• 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

  


• Amazon S3 : how to combine all images into a video ?

  9 septembre 2021, par scientiffic

  I'm in my Rails app, I enable users to upload images, which get processed using ffmpeg to create a video slideshow.

  



  I have this working locally, but am wondering how to do this when deploying the app using Heroku. In particular, I know Heroku has limited storage and has a read-only filesystem, so using Carrierwave without S3 or an external storage option doesn't seem like an option.

  



  But how would I run a task like the following using S3, where I combine all images into a video ?

  



  The ffmpeg command is

  



  ffmpeg -r 5 -i https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg output.mp4 -y


  



  And the AWS "folder" contains the following :
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img001.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img002.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img003.jpg

  



  When I try to do the following, I get an error with ffmpeg not knowing what to do with :

  



  https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg


  



  Note, this whole video compilation process works fine for me locally, so I know in theory it should work.