From e90afa6ec164ae640db3902974288fc175fcbf55 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Mon, 5 Mar 2018 23:07:33 +0300
Subject: [PATCH] resnet152_yolo.cfg uses learning_rate, steps, scales, decay,
 momentum as in the RetinaNet

---
 build/darknet/x64/resnet152_yolo.cfg | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/build/darknet/x64/resnet152_yolo.cfg b/build/darknet/x64/resnet152_yolo.cfg
index cf7982ba..3249dcd4 100644
--- a/build/darknet/x64/resnet152_yolo.cfg
+++ b/build/darknet/x64/resnet152_yolo.cfg
@@ -5,17 +5,22 @@ height=416
 width=416
 channels=3
 momentum=0.9
-decay=0.0005
+decay=0.0001
+#decay=0.0005
 angle=0
 saturation = 1.5
 exposure = 1.5
 hue=.1
 
-learning_rate=0.0001
-max_batches = 45000
+learning_rate=0.01
+max_batches = 90000
 policy=steps
-steps=100,25000,35000
-scales=10,.1,.1
+steps=60000,80000
+scales=.1,.1
+
+#learning_rate=0.0001
+#steps=100,25000,35000
+#scales=10,.1,.1
 
 [convolutional]
 batch_normalize=1