ultralytics 8.2.59 use Results.save_txt for validation (#14496)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

ultralytics/models/yolo/obb/val.py

@@ -130,13 +130,19 @@ class OBBValidator(DetectionValidator):
 
     def save_one_txt(self, predn, save_conf, shape, file):
         """Save YOLO detections to a txt file in normalized coordinates in a specific format."""
-        gn = torch.tensor(shape)[[1, 0]]  # normalization gain whwh
-        for *xywh, conf, cls, angle in predn.tolist():
-            xywha = torch.tensor([*xywh, angle]).view(1, 5)
-            xyxyxyxy = (ops.xywhr2xyxyxyxy(xywha) / gn).view(-1).tolist()  # normalized xywh
-            line = (cls, *xyxyxyxy, conf) if save_conf else (cls, *xyxyxyxy)  # label format
-            with open(file, "a") as f:
-                f.write(("%g " * len(line)).rstrip() % line + "\n")
+        import numpy as np
+
+        from ultralytics.engine.results import Results
+
+        rboxes = torch.cat([predn[:, :4], predn[:, -1:]], dim=-1)
+        # xywh, r, conf, cls
+        obb = torch.cat([rboxes, predn[:, 4:6]], dim=-1)
+        Results(
+            np.zeros((shape[0], shape[1]), dtype=np.uint8),
+            path=None,
+            names=self.names,
+            obb=obb,
+        ).save_txt(file, save_conf=save_conf)
 
     def eval_json(self, stats):
         """Evaluates YOLO output in JSON format and returns performance statistics."""