fix max_det_threshold in MAP (#1712)

* fixed bug in max_det_threshold
* chlog

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: Jirka <jirka.borovec@seznam.cz>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

Author: 4 people

CHANGELOG.md

@@ -154,6 +154,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Fixed padding removal for 3d input in `MSSSIM` ([#1674](https://github.com/Lightning-AI/torchmetrics/pull/1674))
 
 
+- Fixed `max_det_threshold` in MAP detection ([#1712](https://github.com/Lightning-AI/torchmetrics/pull/1712))
+
+
 ## [0.11.4] - 2023-03-10
 
 ### Fixed

src/torchmetrics/detection/mean_ap.py

@@ -795,8 +795,8 @@ def _summarize_results(self, precisions: Tensor, recalls: Tensor) -> Tuple[MAPMe
         """
         results = {"precision": precisions, "recall": recalls}
         map_metrics = MAPMetricResults()
-        map_metrics.map = self._summarize(results, True)
         last_max_det_thr = self.max_detection_thresholds[-1]
+        map_metrics.map = self._summarize(results, True, max_dets=last_max_det_thr)
         if 0.5 in self.iou_thresholds:
             map_metrics.map_50 = self._summarize(results, True, iou_threshold=0.5, max_dets=last_max_det_thr)
         else: