Numpy Array Shape validation

[isConic]

I use pydantic for data-validation primarily.

For a specific use case, I receive data in my backend to process imagery from a camera.

I seek to enforce a specific shape for validation. That way if someone accidentally sends and image from a different sensor, I can ensure that they're notified that the shape isn't fitting with what my backend is expecting.

[caniko]

This is already supported: https://github.com/caniko/pydantic-numpy/blob/trunk/pydantic_numpy/typing/iii_dimensional.py

If you can't find the type that you are looking for, see the README