In-memory statistics calculation

Hello,

Do you support in-memory computation of statistics, or are you planning to add such a feature?

# Details

I'm missing the possibility to obtain statistics like the ones returned by `imagelab.get_stats()` for an image that is not stored in a filesystem, but rather is kept in memory.

Let's say I have a vision model deployed and it receives an image for inference via a REST API. The image is a numpy array or a PIL Image. I'd like to be able to obtain the statistics for it before passing it to the model for inference. A working solution I came up with is saving the image to a tempdir and calling cleanvision on it, but this unsurprisingly is very slow.

In case you are not planning on developing such a feature, could you please advise on a faster workaround than using tempdir? Thanks!

Start by reading the existing imagelab.get_stats() entry point and tracing how it accepts filesystem images. Compare the expected inputs with the numpy array and PIL Image described here; done would mean obtaining equivalent statistics for an in-memory image without using a temporary directory. No files or tests are named in the issue.

Written by the indexing model from the issue text.