Enhancement/add obb support confusion matrix

[AshAnand34]

Description

This pull request introduces support for evaluating oriented bounding boxes (OBBs) in the confusion matrix calculations within the supervision library. The changes include adding a new parameter to enable OBB support, modifying the IoU calculation logic, and adding comprehensive tests to validate the functionality.

Enhancements to IoU and Confusion Matrix Calculations:

• Added the use_oriented_boxes parameter to the from_detections, from_tensors, and evaluate_detection_batch methods, allowing users to toggle between axis-aligned and oriented bounding box IoU calculations.
• Updated the IoU computation logic to use oriented_box_iou_batch when use_oriented_boxes is set to True. This ensures accurate IoU calculations for OBBs.

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?

Added a new test file, test/metrics/test_confusion_matrix_obb.py, to validate the confusion matrix functionality with and without OBB support. These tests include scenarios for perfect matches and slight offsets between predictions and ground truth.

Docs

• Docs updated? What were the changes:
• Enhanced the example in the from_detections method's docstring to demonstrate how to use the use_oriented_boxes parameter with both axis-aligned and oriented bounding boxes.