ultralytics 8.0.81 single-line docstring updates (#2061)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ultralytics/yolo/v8/classify/predict.py

@@ -10,10 +10,12 @@ from ultralytics.yolo.utils import DEFAULT_CFG, ROOT
 class ClassificationPredictor(BasePredictor):
 
     def preprocess(self, img):
+        """Converts input image to model-compatible data type."""
         img = (img if isinstance(img, torch.Tensor) else torch.from_numpy(img)).to(self.model.device)
         return img.half() if self.model.fp16 else img.float()  # uint8 to fp16/32
 
     def postprocess(self, preds, img, orig_imgs):
+        """Postprocesses predictions to return Results objects."""
         results = []
         for i, pred in enumerate(preds):
             orig_img = orig_imgs[i] if isinstance(orig_imgs, list) else orig_imgs
@@ -25,6 +27,7 @@ class ClassificationPredictor(BasePredictor):
 
 
 def predict(cfg=DEFAULT_CFG, use_python=False):
+    """Run YOLO model predictions on input images/videos."""
     model = cfg.model or 'yolov8n-cls.pt'  # or "resnet18"
     source = cfg.source if cfg.source is not None else ROOT / 'assets' if (ROOT / 'assets').exists() \
         else 'https://ultralytics.com/images/bus.jpg'