ultralytics 8.0.170 apply is_list fixes for torch.Tensor inputs (#4713)

Co-authored-by: Gezhi Zhang <765724965@qq.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ultralytics/utils/ops.py

@@ -771,6 +771,19 @@ def masks2segments(masks, strategy='largest'):
     return segments
 
 
+def convert_torch2numpy_batch(batch: torch.Tensor) -> np.ndarray:
+    """
+    Convert a batch of FP32 torch tensors (0.0-1.0) to a NumPy uint8 array (0-255), changing from BCHW to BHWC layout.
+
+    Args:
+        batch (torch.Tensor): Input tensor batch of shape (Batch, Channels, Height, Width) and dtype torch.float32.
+
+    Returns:
+        (np.ndarray): Output NumPy array batch of shape (Batch, Height, Width, Channels) and dtype uint8.
+    """
+    return (batch.permute(0, 2, 3, 1).contiguous() * 255).clamp(0, 255).to(torch.uint8).cpu().numpy()
+
+
 def clean_str(s):
     """
     Cleans a string by replacing special characters with underscore _