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• How do I create and initialise a DXGI_FORMAT_NV12 resource in DX12 (source is AVFrame)

  5 janvier 2023, par mike

  I'm trying to create an NV12 resource as source for a video encoder in DX12. While I intend to eventually populate a resource from GPU, what I'm trying to do now is take an ffmpeg AVFrame I already have (in AV_PIX_FMT_YUV420P format) and create a texture in DXGI_FORMAT_NV12 format using that data.
  

  


  I understand the NV12 format (https://learn.microsoft.com/en-us/windows/win32/medfound/recommended-8-bit-yuv-formats-for-video-rendering#nv12) has U and V interleaved while the AV_PIX_FMT_YUV420P doesn't.

  


  My main question is what does the D3D12_RESOURCE_DESC look like for an NV12 texture - do I tell it I need more than one array/mip level to make it planar ? Or do I just give it a single memory address with both planes layed out as per the NV12 format, and it figures out subresources for me based on the format ?
  
I understand that to read the data I define two SRVs, one for Y mapped to the Red channel and a second for U and V, but it's how I initialise it that's confusing me.

  


• Using ffmpeg to get a passthrough stream and create an audio resource for discordjs/voice ?

  5 novembre 2022, par Zer0

  I have access to an hls manifest file which i can use to download a song.
I use the following command to download it/pipe it to stdout :
ffmpeg -i 'https://api.someurl.com/1/2/3/stream.ismd/manifest.m3u8' -vn -sn -f flv -c copy -|ffmpeg -i - -b:a 192k -f mp3 -.

  


  I am successfully able to output a playable mp3 from this command.

  


  I am looking for a way to get the same kind of result in nodejs and get a readable stream from the final download and then pipe it to createAudioResource() to make it playable in a discord voice channel.

  


  There is a nodejs module called m3u8stream which i tried using with the code mentioned below but i couldnt get it to work as my knowledge of nodejs streams is limited and the documentation is confusing to understand.

  


  const stream = new PassThrough()
let resource
const stream = m3u8stream('https://api.someurl.com/1/2/3/stream.ismd/manifest.m3u8', {parser : 'm3u8',
requestOptions : {headers : {"content-type" : "video/mp4"}}
}).pipe(stream)
stream.on('data', d=>{resource = createAudioResource(d)})
player.play(resource)


  


  This code did not work and i am assuming this has something to do with m3u8stream itself because piping the stream to fs.createWriteStream('file.mp4') as shown in their example results in a zero kb mp4 file.

  


  I am sure there is be a better tool or a way to get a stream from the manifest and get it to play on discord and i would be happy to know about them as i am not bound to use ffmpeg for this.
Any help to make this work is appreciated. 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 ?