diff --git a/src/model/yolo_wrapper.py b/src/model/yolo_wrapper.py
index c02c78e..b2c90e5 100644
--- a/src/model/yolo_wrapper.py
+++ b/src/model/yolo_wrapper.py
@@ -192,7 +192,9 @@ class YOLOWrapper:
         prepared_source, cleanup_path = self._prepare_source(source)
 
         try:
-            logger.info(f"Running inference on {source}")
+            logger.info(
+                f"Running inference on {source} -> prepared_source {prepared_source}"
+            )
             results = self.model.predict(
                 source=prepared_source,
                 conf=conf,
diff --git a/src/utils/ultralytics_16bit_patch.py b/src/utils/ultralytics_16bit_patch.py
index c976bc1..6c25f58 100644
--- a/src/utils/ultralytics_16bit_patch.py
+++ b/src/utils/ultralytics_16bit_patch.py
@@ -106,6 +106,7 @@ def apply_ultralytics_16bit_tiff_patches(*, force: bool = False) -> None:
     def preprocess_batch_16bit(self, batch: dict) -> dict:  # type: ignore[override]
         # Start from upstream behavior to keep device placement + multiscale identical,
         # but replace the 255 division with dtype-aware scaling.
+        logger.info(f"Preprocessing batch with monkey-patched preprocess_batch")
         for k, v in batch.items():
             if isinstance(v, torch.Tensor):
                 batch[k] = v.to(self.device, non_blocking=self.device.type == "cuda")