ave_dense.cfg

[net]
batch=16
subdivisions=4
width=416
height=416
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation=1.5
exposure=1.5
hue=.1

learning_rate=0.0001
max_batches=60000
policy=steps
steps=100,25000,45000
scales=10,.1,.1

# 0
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky

# 1
[maxpool]
size=2
stride=2

# 2
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky

# 3
[maxpool]
size=2
stride=2

#4
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky

# 5
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky

# 6
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky

# 7
[maxpool]
size=2
stride=2

# 8
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky

# 9
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky

# 10
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky

# 11
[maxpool]
size=2
stride=2

# 12
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

# 13
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky

# 14
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

# 15
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky

# 16
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

# 17
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky

# 18
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky

[route]
layers=-9

[reorg]
stride=2

[route]
layers=-1,-3

# 19
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky

# 20
[convolutional]
size=1
stride=1
pad=1
filters=40
activation=linear

[region]
# yolo_voc.cfg: anchors = 1.08,1.19,  3.42,4.41,  6.63,11.38,  9.42,5.11,  16.62,10.52
# yolo.cfg:     anchors = 0.738768,0.874946,  2.42204,2.65704,  4.30971,7.04493,  10.246,4.59428,  12.6868,11.8741
# use voc:
anchors = 1.08,1.19,  3.42,4.41,  6.63,11.38,  9.42,5.11,  16.62,10.52
bias_match=1
classes=1
coords=4
num=5
softmax=1
jitter=.2
rescore=1

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

absolute=1
thresh=.6
random=0