Jiwon

Fix: stabilize test after distributed training completion

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# Description ## Related Issues Fixes #316 #374 ## Summary of Changes This PR fixes two problems for distributed training when `run_test=True`: 1. **Synchronization before testing** - Added `torch.distributed.barrier()` when...

Fix MeanAverageRecall: compute mAR@K using top-K detections per image (COCO-compliant)

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# Description This PR fixes the calculation of mAR@K in `MeanAverageRecall` to comply with the COCO evaluation protocol. Previously, the implementation selected the top-K predictions globally across all images, rather...

MeanAverageRecall does not follow COCO: mAR@K should use top-K detections per image, not globally

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### Search before asking - [x] I have searched the Supervision [issues](https://github.com/roboflow/supervision/issues) and found no similar bug report. ### Bug ### Describe the bug The current implementation of [MeanAverageRecall](https://github.com/roboflow/supervision/blob/develop/supervision/metrics/mean_average_recall.py) computes...