Add docs (tutorial) about transfer image from RAM to pipeline (model)

[Lavshyak]

Is your feature request related to a problem? Please describe. When I started learning ML.NET, it was hard to understand how to adequately transfer an image from RAM (byte[], SKImage, MLImage) to a pipeline (model) (which automatically resizes the image and classifies it). I couldn't find this in the documentation, and I couldn't find any clear ways on the Internet.

Describe the solution you'd like Maybe you could add information about this to the documentation? I have some code that just needs to be adapted for use in documentation: https://github.com/Lavshyak/MLNetImageFromRamStrange/tree/master/ImageFromRamStrange And it's worth mentioning, it was a non-intuitive moment: https://github.com/Lavshyak/MLNetImageFromRamStrange/blob/788d67d05e0ebb00d4db0753ac3298a9507a5805/ImageFromRamStrange/DataModels.cs#L12 And may be you can copy some code from there: https://github.com/Lavshyak/MLNetImageDisposingProblem/blob/master/MLNetImageDisposingProblem/Reproduction.cs

And don't forget about that): https://github.com/dotnet/machinelearning/issues/7444

[ericstj]

@Lavshyak would you like to have a try at improving the documentation? cc @michaelgsharp @tarekgh

[Lavshyak]

XD there are 3 places with different docs and samples: https://github.com/dotnet/machinelearning-samples/ https://github.com/dotnet/docs/tree/main/docs/machine-learning https://github.com/dotnet/machinelearning/tree/main/docs

I didn't notice that before, I only looked at this https://learn.microsoft.com/en-us/dotnet/machine-learning/ with links to the sample projects.

If I'm going to try to improve the documentation, where would be the best place to do it? Should i do it there: https://learn.microsoft.com/en-us/dotnet/machine-learning/ (https://github.com/dotnet/docs/tree/main/docs/machine-learning) ?