[net]
batch=1
subdivisions=1
height=224
width=224
channels=3
momentum=0.9
decay=0.0005

learning_rate=0.0005
policy=steps
steps=200,400,600,20000,30000
scales=2.5,2,2,.1,.1
max_batches = 40000

[convolutional]
filters=16
size=3
stride=1
pad=1
activation=leaky

[maxpool]
size=2
stride=2

[convolutional]
filters=32
size=3
stride=1
pad=1
activation=leaky

[maxpool]
size=2
stride=2

[convolutional]
filters=64
size=3
stride=1
pad=1
activation=leaky

[maxpool]
size=2
stride=2

[convolutional]
filters=128
size=3
stride=1
pad=1
activation=leaky

[maxpool]
size=2
stride=2

[convolutional]
filters=256
size=3
stride=1
pad=1
activation=leaky

[maxpool]
size=2
stride=2

[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky

[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=leaky

[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=leaky

[convolutional]
filters=256
size=3
stride=1
pad=1
activation=leaky

[connected]
output= 1470
activation=linear

[detection]
classes=20
coords=4
rescore=1
side=7
num=2
softmax=0
sqrt=1
jitter=.2

object_scale=1
noobject_scale=.5
class_scale=1
coord_scale=5