AlexeyAB
2018-03-05 e90afa6ec164ae640db3902974288fc175fcbf55
resnet152_yolo.cfg uses learning_rate, steps, scales, decay, momentum as in the RetinaNet
1 files modified
15 ■■■■■ changed files
build/darknet/x64/resnet152_yolo.cfg 15 ●●●●● patch | view | raw | blame | history
build/darknet/x64/resnet152_yolo.cfg
@@ -5,17 +5,22 @@
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