[net]

# Testing

batch=1

subdivisions=1

# Training

# batch=64

# subdivisions=16

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

[convolutional]

batch_normalize=1

filters=32

size=3

stride=1

pad=1

activation=leaky

# Downsample

[convolutional]

batch_normalize=1

filters=64

size=3

stride=2

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=32

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=64

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

# Downsample

[convolutional]

batch_normalize=1

filters=128

size=3

stride=2

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=64

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=128

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=64

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=128

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

# Downsample

[convolutional]

batch_normalize=1

filters=256

size=3

stride=2

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=256

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=256

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=256

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=256

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=256

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=256

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=256

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=256

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

# Downsample

[convolutional]

batch_normalize=1

filters=512

size=3

stride=2

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=512

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=512

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=512

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=512

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=512

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=512

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=512

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=512

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

# Downsample

[convolutional]

batch_normalize=1

filters=1024

size=3

stride=2

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=512

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=1024

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=512

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=1024

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=512

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=1024

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

[convolutional]

batch_normalize=1

filters=512

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

filters=1024

size=3

stride=1

pad=1

activation=leaky

[shortcut]

from=-3

activation=linear

######################

[convolutional]

batch_normalize=1

filters=512

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

size=3

stride=1

pad=1

filters=1024

activation=leaky

[convolutional]

batch_normalize=1

filters=512

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

size=3

stride=1

pad=1

filters=1024

activation=leaky

[convolutional]

batch_normalize=1

filters=512

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

size=3

stride=1

pad=1

filters=1024

activation=leaky

[convolutional]

size=1

stride=1

pad=1

filters=255

activation=linear

[yolo]

mask = 6,7,8

anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326

classes=80

num=9

jitter=.3

ignore_thresh = .5

truth_thresh = 1

random=1

[route]

layers = -4

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[upsample]

stride=2

[route]

layers = -1, 61

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

size=3

stride=1

pad=1

filters=512

activation=leaky

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

size=3

stride=1

pad=1

filters=512

activation=leaky

[convolutional]

batch_normalize=1

filters=256

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

size=3

stride=1

pad=1

filters=512

activation=leaky

[convolutional]

size=1

stride=1

pad=1

filters=255

activation=linear

[yolo]

mask = 3,4,5

anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326

classes=80

num=9

jitter=.3

ignore_thresh = .5

truth_thresh = 1

random=1

[route]

layers = -4

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[upsample]

stride=2

[route]

layers = -1, 36

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

size=3

stride=1

pad=1

filters=256

activation=leaky

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

size=3

stride=1

pad=1

filters=256

activation=leaky

[convolutional]

batch_normalize=1

filters=128

size=1

stride=1

pad=1

activation=leaky

[convolutional]

batch_normalize=1

size=3

stride=1

pad=1

filters=256

activation=leaky

[convolutional]

size=1

stride=1

pad=1

filters=255

activation=linear

[yolo]

mask = 0,1,2

anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326

classes=80

num=9

jitter=.3

ignore_thresh = .5

truth_thresh = 1

random=1