Allow passing metrics objects directly to `create_metrics_collection`

[ashwinvaidya17]

📝 Description

• Adds the ability to pass metric objects directly.
• Alternative to solution proposed in https://github.com/openvinotoolkit/anomalib/issues/2205

To test

from torchmetrics.classification import Accuracy, Precision, Recall

from anomalib.data import MVTec
from anomalib.engine import Engine
from anomalib.models import Padim

if __name__ == "__main__":
    model = Padim()
    data = MVTec()
    engine = Engine(image_metrics=[Accuracy(task="binary"), Precision(task="binary"), Recall(task="binary")])
    engine.train(model, datamodule=data)

✨ Changes

Select what type of change your PR is:

• [ ] 🐞 Bug fix (non-breaking change which fixes an issue)
• [x] 🔨 Refactor (non-breaking change which refactors the code base)
• [ ] 🚀 New feature (non-breaking change which adds functionality)
• [ ] 💥 Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [ ] 📚 Documentation update
• [ ] 🔒 Security update

✅ Checklist

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• [ ] 📋 I have summarized my changes in the CHANGELOG and followed the guidelines for my type of change (skip for minor changes, documentation updates, and test enhancements).
• [ ] 📚 I have made the necessary updates to the documentation (if applicable).
• [ ] 🧪 I have written tests that support my changes and prove that my fix is effective or my feature works (if applicable).

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