training fix. add global settings

backend/data/yolox_l.py

@@ -1,15 +1,15 @@
-#!/usr/bin/env python3
-# -*- coding:utf-8 -*-
-# Base configuration for YOLOX-L model
-# These parameters are preserved during transfer learning from COCO
-
-class BaseExp:
-    """Base experiment configuration for YOLOX-L"""
-    
-    # Model architecture (protected - always use these for yolox-l)
-    depth = 1.0
-    width = 1.0
-    
-    scheduler = "yoloxwarmcos"
-
-    activation = "silu"
+#!/usr/bin/env python3
+# -*- coding:utf-8 -*-
+# Base configuration for YOLOX-L model
+# These parameters are preserved during transfer learning from COCO
+
+class BaseExp:
+    """Base experiment configuration for YOLOX-L"""
+    
+    # Model architecture (protected - always use these for yolox-l)
+    depth = 1.0
+    width = 1.0
+    
+    scheduler = "yoloxwarmcos"
+
+    activation = "silu"