Fix Docs pretty __init__.py URLs (#14550)

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

ultralytics/utils/benchmarks.py

@@ -164,6 +164,8 @@ def benchmark(
 
 
 class RF100Benchmark:
+    """Benchmark YOLO model performance across formats for speed and accuracy."""
+
     def __init__(self):
         """Function for initialization of RF100Benchmark."""
         self.ds_names = []

ultralytics/utils/loss.py

@@ -607,12 +607,10 @@ class v8ClassificationLoss:
 
 
 class v8OBBLoss(v8DetectionLoss):
-    def __init__(self, model):
-        """
-        Initializes v8OBBLoss with model, assigner, and rotated bbox loss.
+    """Calculates losses for object detection, classification, and box distribution in rotated YOLO models."""
 
-        Note model must be de-paralleled.
-        """
+    def __init__(self, model):
+        """Initializes v8OBBLoss with model, assigner, and rotated bbox loss; note model must be de-paralleled."""
         super().__init__(model)
         self.assigner = RotatedTaskAlignedAssigner(topk=10, num_classes=self.nc, alpha=0.5, beta=6.0)
         self.bbox_loss = RotatedBboxLoss(self.reg_max).to(self.device)

ultralytics/utils/metrics.py

@@ -1221,6 +1221,8 @@ class ClassifyMetrics(SimpleClass):
 
 
 class OBBMetrics(SimpleClass):
+    """Metrics for evaluating oriented bounding box (OBB) detection, see https://arxiv.org/pdf/2106.06072.pdf."""
+
     def __init__(self, save_dir=Path("."), plot=False, on_plot=None, names=()) -> None:
         """Initialize an OBBMetrics instance with directory, plotting, callback, and class names."""
         self.save_dir = save_dir

ultralytics/utils/tal.py

@@ -259,6 +259,8 @@ class TaskAlignedAssigner(nn.Module):
 
 
 class RotatedTaskAlignedAssigner(TaskAlignedAssigner):
+    """Assigns ground-truth objects to rotated bounding boxes using a task-aligned metric."""
+
     def iou_calculation(self, gt_bboxes, pd_bboxes):
         """IoU calculation for rotated bounding boxes."""
         return probiou(gt_bboxes, pd_bboxes).squeeze(-1).clamp_(0)