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The audio stream sections of the output of mediainfo -Language=raw -full for both of these files are identical in all relevant areas dealing with the codec and number of channels:įormat_Commercial_IfAny : DTS-HD Master Audioĭuration/String5 : 02:26:05.259 (02:25:41:89)Ĭhannel(s)_Original/String : Object Basedĭuration/String5 : 02:37:05.408 (02:36:40:32) However, other movies, using the same DTS-X 7.1 audio, aren't stripping the channel info, for example: Harry Potter and the Goblet of Fire (2005). + Harry Potter and the Deathly Hallows Part 1 (2010).

#Mediainfo streamorder how to

Here’s how to delete everything created above.I am having an issue with certain DTS movies not reporting any Īfter upgrading to v3, however, Radarr suggests the following change to a movie that was named using the same string just before the upgrade: - Harry Potter and the Deathly Hallows Part 1 (2010). make sure LD_LIBRARY_PATH=/opt/python/ is defined as an environment variable for your Lambda function.unzip the pymediainfo-python37.zip file and make sure you have the mediainfo libraries under python/.If you get the error libmediainfo.so.0: cannot open shared object file: No such file or directory then double check two things: (I added line breaks in the json below, to make it more readable.) Possible Errors The output body will contain metadata values for the oceans.mp4 video file, like this:

#Mediainfo streamorder code

Edit the Lambda function code to do whatever you want it to do.

Put the Python wrapper and DLL files in a PATH where Python runtimes for AWS Lambda expect to find them.ĭeploy the AWS Lambda function with MediaInfo Lambda layer.

AWS Lambda functions run in an Amazon Linux environment, so we’ll use Docker to build the DLL in an Amazon Linux environment.

Make sure to compile that DLL with support for URL inputs so we can process video files from S3 without downloading them to the Lambda runtime, which only provides 512MB of writtable disk space.

#Mediainfo streamorder download

Download and compile the MediaInfo dynamic linked library (DLL).

We need the actual MediaInfo binaries, too.

#Mediainfo streamorder install

Install the pymediainfo Python wrapper for MediaInfo.ĭocker run -rm -it -v $(pwd):/data pymediainfo-layer-factory cp /packages/pymediainfo-python37.zip /data Create IAM Role with Lambda and S3 access:ĭocker build -tag=pymediainfo-layer-factory:latest.Setup credentials for AWS CLI (see the user guide).The code and documentation is maintained at. I’ve created a sample application that deploys MediaInfo as an AWS Lambda layer which is used by a Lambda function to get metadata tags for a video file saved in AWS S3. Both the monolithic and layered deploy options are described here but in this blog post I’m going to just describe the procedure for deploying MediaInfo as a Lambda layer. I like the Lambda layer approach because it reduces the size of the Lambda function and enables more of my application code to be displayed in the Lambda code viewer in the AWS console. together with application code as a monolithic all-in-one Lambda function,.The MediaInfo library can be published to AWS Lambda in two ways: Here’s a screenshot for some of the data it provides: It tells you all about what’s in an audio or video file, like how they’re encoded, number of channels, bitrate, resolution, etc. MediaInfo is a very popular tool for people who do video editing, streaming, or transcoding. AWS Lambda is a cloud service from Amazon that lets you run code without the complexity of building and managing servers. This post describes how to package MediaInfo so it can be used in applications hosted by AWS Lambda.