training fix. add global settings

backend/data/yolox_m.py

@@ -1,15 +1,15 @@
-#!/usr/bin/env python3
-# -*- coding:utf-8 -*-
-# Base configuration for YOLOX-M model
-# These parameters are preserved during transfer learning from COCO
-
-class BaseExp:
-    """Base experiment configuration for YOLOX-M"""
-    
-    # Model architecture (protected - always use these for yolox-m)
-    depth = 0.67
-    width = 0.75
-    
-    scheduler = "yoloxwarmcos"
-
+#!/usr/bin/env python3
+# -*- coding:utf-8 -*-
+# Base configuration for YOLOX-M model
+# These parameters are preserved during transfer learning from COCO
+
+class BaseExp:
+    """Base experiment configuration for YOLOX-M"""
+    
+    # Model architecture (protected - always use these for yolox-m)
+    depth = 0.67
+    width = 0.75
+    
+    scheduler = "yoloxwarmcos"
+
     activation = "silu"