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• FFMPEG image to video with kenburns effects with dynamic number of images

  4 novembre 2019, par Buu

  Is it possible to create a video from images with kenburns effects ? Anyone can help me to create a command with smooth transition is really appreciated. Thank you everyone.

  Here’s the sample video I wan to achieved, https://trello-attachments.s3.amazonaws.com/545a93cff0b222f456c5ad82/5d8cfc0d75e80e63dae2fe6a/5a523ed328f24b0454c5c56cd0ee68e6/23442279.mp4

• webM files shows green and purple effects on mobile

  11 octobre 2015, par Naveen Gamage

  I have converted several GIFs to webM files using ffmpeg on my Ubuntu 14.04 server.

  Heres the code I used for conversation.

  ffmpeg -i your_gif.gif -c:v libvpx -crf 12 -b:v 500K output.webm

  source https://gist.github.com/ndarville/10010916

  The problem is converted webM files shows perfectly fine on PCs but on my mobile it shows with green and purple shadows.

  PC

  

  Mobile

  

  I tried changing -crf and -b:v values to their max but nothing happens.

  webM file : http://d1pnsuxwa0it39.cloudfront.net/uploads/comments/webm/4673555.webm

  edit :

  also I can see webM files on some other sites fine. I think this has to do something with the way I convert files.

  edit :

  I have tried another code I found on stackoverflow but still the same.

  ffmpeg -f gif -i infile.gif outfile.mp4

  EDIT :

  If anyone think this has something to do with the way I installed FFMPEG, I followed the steps on FFMPEG official docs.

  https://trac.ffmpeg.org/wiki/CompilationGuide/Ubuntu

  EDIT :

  Input file :

  http://d1pnsuxwa0it39.cloudfront.net/test/1.gif

  Output file :

  http://d1pnsuxwa0it39.cloudfront.net/test/output.webm

  FFMPEG CLI output

   /home/naveencg/bin/ffmpeg -i 1.gif -c:v libvpx -crf 12 -b:v 500K output.webm
  
  ffmpeg version 2.5.git Copyright (c) 2000-2014 the FFmpeg developers
  
    built on Dec 31 2014 14:37:15 with gcc 4.8 (Ubuntu 4.8.2-19ubuntu1)
  
    configuration: --prefix=/home/naveencg/ffmpeg_build --extra-cflags=-I/home/naveencg/ffmpeg_build/include --extra-ldflags=-L/home/naveencg/ffmpeg_build/lib --bindir=/home/naveencg/bin --enable-gpl --enable-libass --enable-libfdk-aac --enable-libfreetype --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libx264 --enable-nonfree
  
    libavutil      54. 15.100 / 54. 15.100
  
    libavcodec     56. 19.100 / 56. 19.100
  
    libavformat    56. 16.102 / 56. 16.102
  
    libavdevice    56.  3.100 / 56.  3.100
  
    libavfilter     5.  6.100 /  5.  6.100
  
    libswscale      3.  1.101 /  3.  1.101
  
    libswresample   1.  1.100 /  1.  1.100
  
    libpostproc    53.  3.100 / 53.  3.100
  
  Input #0, gif, from '1.gif':
  
    Duration: N/A, bitrate: N/A
  
      Stream #0:0: Video: gif, bgra, 350x169, 25 fps, 25 tbr, 100 tbn, 100 tbc
  
  [libvpx @ 0x1e2bf60] v1.3.0
  
  Output #0, webm, to 'output.webm':
  
    Metadata:
  
      encoder         : Lavf56.16.102
  
      Stream #0:0: Video: vp8 (libvpx), yuva420p, 350x169, q=-1--1, 500 kb/s, 25 fps, 1k tbn, 25 tbc
  
      Metadata:
  
        encoder         : Lavc56.19.100 libvpx
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (gif (native) -> vp8 (libvpx))
  
  Press [q] to stop, [?] for help
  
  frame=   21 fps=0.0 q=0.0 size=      58kB time=00:00:00.84 bitrate= 569.7kbits/sframe=   44 fps= 41 q=0.0 size=     110kB time=00:00:01.76 bitrate= 512.4kbits/sframe=   62 fps= 39 q=0.0 size=     153kB time=00:00:02.48 bitrate= 505.9kbits/sframe=   84 fps= 40 q=0.0 size=     210kB time=00:00:03.36 bitrate= 510.8kbits/sframe=   88 fps= 41 q=0.0 Lsize=     218kB time=00:00:03.52 bitrate= 508.3kbits/s
  
  video:216kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.971527%

• i want to create a collage of short videos based on my girlfriend's mood(machine learning approach in ffmpeg) [closed]

  14 janvier 2020, par Biswajit Nayak

  Hi guys i am working on a video collage project from different short videos based on our journey so far, it will be simple as Mid-’90s DV Camcorder Look we have to use ffmpeg for scene extraction and which machine learning framework to detect mood as per the scene in the video, We also use some featureS of opencv. Please Help