[net]
# Testing
# batch=1
# subdivisions=1
# Training
batch=8
subdivisions=2
width=416
height=416
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1

learning_rate=0.001
burn_in=1000
max_batches = 500200
policy=steps
steps=400000,450000
scales=.1,.1

# 0
[convolutional]
batch_normalize=1
filters=16
size=3
stride=1
pad=1
activation=leaky

# 1
[maxpool]
size=2
stride=2

# 2
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky

# 3
[maxpool]
size=2
stride=2

# 4
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky

# 5
[maxpool]
size=2
stride=2

# 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=512
size=3
stride=1
pad=1
activation=leaky

# 10
[convolutional]
size=1
stride=1
pad=1
filters=42
activation=linear

# 11
[yolo]
mask = 0, 1, 2
anchors = 37,58, 81,82, 135,169
classes=9
num=3
jitter=.3
ignore_thresh = .7
truth_thresh = 1
random=1