ultralytics 8.0.75 fixes and updates (#1967)

Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: Jonathan Rayner <jonathan.j.rayner@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ultralytics/yolo/utils/__init__.py

@@ -17,6 +17,7 @@ from types import SimpleNamespace
 from typing import Union
 
 import cv2
+import matplotlib.pyplot as plt
 import numpy as np
 import torch
 import yaml
@@ -116,7 +117,7 @@ class SimpleClass:
         attr = []
         for a in dir(self):
             v = getattr(self, a)
-            if not callable(v) and not a.startswith('__'):
+            if not callable(v) and not a.startswith('_'):
                 if isinstance(v, SimpleClass):
                     # Display only the module and class name for subclasses
                     s = f'{a}: {v.__module__}.{v.__class__.__name__} object'
@@ -164,6 +165,39 @@ class IterableSimpleNamespace(SimpleNamespace):
         return getattr(self, key, default)
 
 
+def plt_settings(rcparams={'font.size': 11}, backend='Agg'):
+    """
+    Decorator to temporarily set rc parameters and the backend for a plotting function.
+
+    Usage:
+        decorator: @plt_settings({"font.size": 12})
+        context manager: with plt_settings({"font.size": 12}):
+
+    Args:
+        rcparams (dict): Dictionary of rc parameters to set.
+        backend (str, optional): Name of the backend to use. Defaults to 'Agg'.
+
+    Returns:
+        callable: Decorated function with temporarily set rc parameters and backend.
+    """
+
+    def decorator(func):
+
+        def wrapper(*args, **kwargs):
+            original_backend = plt.get_backend()
+            plt.switch_backend(backend)
+
+            with plt.rc_context(rcparams):
+                result = func(*args, **kwargs)
+
+            plt.switch_backend(original_backend)
+            return result
+
+        return wrapper
+
+    return decorator
+
+
 def set_logging(name=LOGGING_NAME, verbose=True):
     # sets up logging for the given name
     rank = int(os.getenv('RANK', -1))  # rank in world for Multi-GPU trainings