rolling avg demo

cfg/darknet.cfg

@@ -7,11 +7,10 @@ channels=3
 momentum=0.9
 decay=0.0005
 
-learning_rate=0.01
-policy=sigmoid
-gamma=.00002
-step=400000
-max_batches=800000
+learning_rate=0.1
+policy=poly
+power=4
+max_batches=500000
 
 [crop]
 crop_height=224
@@ -22,6 +21,7 @@ saturation=1
 exposure=1
 
 [convolutional]
+batch_normalize=1
 filters=16
 size=3
 stride=1
@@ -33,6 +33,7 @@ size=2
 stride=2
 
 [convolutional]
+batch_normalize=1
 filters=32
 size=3
 stride=1
@@ -44,6 +45,7 @@ size=2
 stride=2
 
 [convolutional]
+batch_normalize=1
 filters=64
 size=3
 stride=1
@@ -55,6 +57,7 @@ size=2
 stride=2
 
 [convolutional]
+batch_normalize=1
 filters=128
 size=3
 stride=1
@@ -66,6 +69,7 @@ size=2
 stride=2
 
 [convolutional]
+batch_normalize=1
 filters=256
 size=3
 stride=1
@@ -77,6 +81,7 @@ size=2
 stride=2
 
 [convolutional]
+batch_normalize=1
 filters=512
 size=3
 stride=1
@@ -88,6 +93,7 @@ size=2
 stride=2
 
 [convolutional]
+batch_normalize=1
 filters=1024
 size=3
 stride=1