feat(detection): add transform method to remap and filter detections

[AshAnand34]

Description

This pull request introduces a new transform method to the Detections class in supervision/detection/core.py, allowing remapping and filtering of detections to match a target dataset's class set. It also includes corresponding unit tests to validate the functionality.

New transform method in Detections:

• Added the transform method to the Detections class, enabling remapping of class names using an optional class_mapping dictionary and filtering detections to match the classes in a target dataset. The method raises an error if the required class_name field is missing from the .data attribute.

Type of change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• This change requires a documentation update

How has this change been tested, please provide a testcase or example of how you tested the change?

Unit tests for transform (in test_transform.py)

• Added test_transform_remap_and_filter to verify that the method correctly remaps class names, filters out invalid detections, and updates class_id to match the target dataset's class indices.
• Added test_transform_no_class_mapping to ensure the method works correctly when no class_mapping is provided, retaining only the classes present in the target dataset.
• Added test_transform_raises_without_class_name to confirm that the method raises a ValueError if the class_name field is missing in the .data attribute.