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• Ghost image issues with ffmpeg -filter_complex displace

  5 juillet 2022, par raul.vila

  I've (almost) been able to apply a displacement based on 2 animated gaussian noise videos, but I'm having issues with a ghost image. A picture is worth a thousand words.

  


  Here you have a script to replicate the issue :

  


  ffmpeg -y -t 2 -f lavfi -i color=c=blue:s=160x120 -c:v libx264 -tune stillimage -pix_fmt rgb24 00_empty.mp4
ffmpeg -y -i 00_empty.mp4 -vf "drawtext=text=string1:y=h/2:x=w-t*w/2:fontcolor=white:fontsize=60" 01_text.mp4
ffmpeg -y -t 2 -f lavfi -i color=c=gray:s=160x120 -c:v libx264 -tune stillimage -pix_fmt rgb24 02_gray.mp4
ffmpeg -y -i 01_text.mp4 -i 02_gray.mp4 -i 02_gray.mp4 -filter_complex "[0][1][2]displace=edge=mirror" 03_displaced_text.mp4


  


  It creates a test video with a scrolling text and a gray dummy video. Then it applies a displacement based on the gray video. If I understand correctly, because the gray video is 100% gray, it should leave the video unchanged (or maybe displace everything by a fixed ammount of pixels), but it creates a "shadow". I tried with 3 different pixel formats (yuv420p, yuv444p, rgb24) because I found this question on stackoverflow talking about that :

  


  

  • Why are Cb and Cr planes displaced differently from lum by the displace complex filter in ffmpeg ?

  


  


  ffmpeg version 5.0.1-full_build-www.gyan.dev

  


  Any idea will be welcome.
  
Thanks !

  


• AWS lambda SAM deploy error - Template format error : Unresolved resource dependencies

  1er juin 2022, par mozenge

  I have am trying to deploy an aws lambda function using the SAM cli. I have some layers defined in the sam template. Testing locally using sam local start-api works quite well. The but deploying using the sam deploy --guided command throws the following error
Error: Failed to create changeset for the stack: sam-app, ex: Waiter ChangeSetCreateComplete failed: Waiter encountered a terminal failure state: For expression "Status" we matched expected path: "FAILED" Status: FAILED. Reason: Template format error: Unresolved resource dependencies [arn:aws:lambda:us-west-1:338231645678:layer:ffmpeg:1] in the Resources block of the template

  


  The SAM template is as follows

  


  AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: >
  video-processor-functions

  Functions to generate gif and thumbnail from uploaded videos
  
# More info about Globals: https://github.com/awslabs/serverless-application-model/blob/master/docs/globals.rst
Globals:
  Function:
    Timeout: 3
    Tracing: Active

Resources:
  VideoProcessorFunctions:
    Type: AWS::Serverless::Function # More info about Function Resource: https://github.com/awslabs/serverless-application-model/blob/master/versions/2016-10-31.md#awsserverlessfunction
    Properties:
      CodeUri: src/
      Handler: app.lambdaHandler
      Runtime: nodejs14.x
      # timeout in seconds - 2 minutes
      Timeout: 120
      Layers:
        - !Ref VideoProcessorDepLayer
        - !Ref arn:aws:lambda:us-west-1:338231645678:layer:ffmpeg:1
      Architectures:
        - x86_64
      Events:
        HelloWorld:
          Type: Api # More info about API Event Source: https://github.com/awslabs/serverless-application-model/blob/master/versions/2016-10-31.md#api
          Properties:
            Path: /hello
            Method: get

  VideoProcessorDepLayer:
    Type: AWS::Serverless::LayerVersion
    Properties:
      LayerName: mh-video-processor-dependencies
      Description: Dependencies for sam app [video-processor-functions]
      ContentUri: dependencies/
      CompatibleRuntimes:
        - nodejs14.17
      LicenseInfo: 'MIT'
      RetentionPolicy: Retain

Outputs:
  # ServerlessRestApi is an implicit API created out of Events key under Serverless::Function
  # Find out more about other implicit resources you can reference within SAM
  # https://github.com/awslabs/serverless-application-model/blob/master/docs/internals/generated_resources.rst#api
  HelloWorldApi:
    Description: "API Gateway endpoint URL for Prod stage for Hello World function"
    Value: !Sub "https://${ServerlessRestApi}.execute-api.${AWS::Region}.amazonaws.com/Prod/hello/"
  VideoProcessorFunctions:
    Description: "Generate GIF and Thumnail from Video"
    Value: !GetAtt VideoProcessorFunctions.Arn
  VideoProcessorFunctionsIamRole:
    Description: "Implicit IAM Role created for MH Video Processor function"
    Value: !GetAtt VideoProcessorFunctionsRole.Arn



  


  Any ideas what i'm doing wrong ?

  


• installing yasm / nasm on heroku with vulcan

  21 novembre 2013, par scientiffic

  I'm trying to do a build of ffmpeg on Heroku, and I need to use libvpx. In order to install libvpx, I need to have nasm or yasm. I tried installing both using vulcan, but I keep getting the error Neither yasm not nasm has been found

  Here is what I did

  Installing Nasm

  • get nasm source from http://www.linuxfromscratch.org/blfs/view/svn/general/NASM.html
  • tar file using : tar -xJf nasm-2.10.09.tar.xz
  • build using : vulcan build -v -s . -c "./configure -prefix=/app/vendor/nasm && make && make install"
  • add the output of the tar file from vulcan to vendor/nasm
  • push to heroku

  Installing Yasm

  • get yasm source from http://www.linuxfromscratch.org/blfs/view/svn/general/yasm.html
  • extra tar file and build using : vulcan build -v -s . -c "./configure -prefix=/app/vendor/yasm && make && make install"
  • add the output of the tar file from vulcan to vendor/yasm
  • push to heroku

  Installing Libvpx

  • get libvpx source from http://www.linuxfromscratch.org/blfs/view/svn/multimedia/libvpx.html
  • build libvpx using : vulcan build -v -s . -c "./configure —enable-shared —disable-static —prefix=/app/vendor/llibvpx && make && make install"

  Attemping to build libvpx yields this error :

  Packaging local directory... /.rvm/gems/ruby-1.9.2-p320/gems/vulcan-0.8.2/lib/vulcan/cli.rb:49: warning: Insecure world writable dir /usr/local in PATH, mode 040777
  
  done
  
  Uploading source package... done
  
  Building with: ./configure --enable-shared --disable-static --prefix=/app/vendor/llibvpx && make && make install
  
  Configuring selected codecs
  
    enabling vp8_encoder
  
    enabling vp8_decoder
  
  Configuring for target 'x86_64-linux-gcc'
  
    enabling x86_64
  
    enabling pic
  
    enabling runtime_cpu_detect
  
    enabling mmx
  
    enabling sse
  
    enabling sse2
  
    enabling sse3
  
    enabling ssse3
  
    enabling sse4_1
  
  **Neither yasm nor nasm have been found**
  
  
  
  Configuration failed. This could reflect a misconfiguration of your
  
  toolchains, improper options selected, or another problem. If you
  
  don't see any useful error messages above, the next step is to look
  
  at the configure error log file (config.err) to determine what
  
  configure was trying to do when it died.

  How can I successfully build libvpx on heroku using vulcan ?

  The instructions I've been (loosely) following are from here :

  https://gist.github.com/czivko/4392472

  And the reason I need to use libvpx is that I'm using the carrierwave-video gem in my Rails app to convert videos, and it needs libvpx to convert to webm to support video playback in Firefox.