cspx-p7-mish.cfg

[net]
# Testing
#batch=1
#subdivisions=1
# Training
batch=64
subdivisions=8
width=1536
height=1536
channels=3
momentum=0.949
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1

learning_rate=0.001
burn_in=1000
max_batches = 500500
steps=400000,450000
#max_batches = 770500
#steps=700000,750000
policy=steps
scales=.1,.1

mosaic=1
letter_box=1

### Start of Backbone ###

[convolutional]
batch_normalize=1
filters=80
size=3
stride=1
pad=1
activation=mish

# Downsample

[convolutional]
batch_normalize=1
filters=80
size=3
stride=2
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=40
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=80
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

# Downsample

[convolutional]
batch_normalize=1
filters=160
size=3
stride=2
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=80
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=80
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=80
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=80
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1,-13

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

# Downsample

[convolutional]
batch_normalize=1
filters=320
size=3
stride=2
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1,-49

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

# Downsample

[convolutional]
batch_normalize=1
filters=640
size=3
stride=2
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1,-49

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

# Downsample

[convolutional]
batch_normalize=1
filters=1280
size=3
stride=2
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1,-25

[convolutional]
batch_normalize=1
filters=1280
size=1
stride=1
pad=1
activation=mish

# Downsample

[convolutional]
batch_normalize=1
filters=1280
size=3
stride=2
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1,-25

[convolutional]
batch_normalize=1
filters=1280
size=1
stride=1
pad=1
activation=mish

# Downsample

[convolutional]
batch_normalize=1
filters=1280
size=3
stride=2
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1,-25

[convolutional]
batch_normalize=1
filters=1280
size=1
stride=1
pad=1
activation=mish

### End of backbone ###

### Start of CSPSPP ###

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[maxpool]
stride=1
size=5

[route]
layers=-2

[maxpool]
stride=1
size=9

[route]
layers=-4

[maxpool]
stride=1
size=13

[route]
layers=-1,-3,-5,-6

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[route]
layers = -1, -13

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

### End of CSPSPP ###

### Start of CSPPAN ###

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[upsample]
stride=2

[route]
layers = 180 ###P6

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1, -3

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[route]
layers = -1, -8

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[upsample]
stride=2

[route]
layers = 152 ###P5

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1, -3

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[route]
layers = -1, -8

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[upsample]
stride=2

[route]
layers = 124 ###P4

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1, -3

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[route]
layers = -1, -8

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish

[upsample]
stride=2

[route]
layers = 72 ###P3

[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1, -3

[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish

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

[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish

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

[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish

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

[route]
layers = -1, -8

[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=2
pad=1
filters=320
activation=mish

[route]
layers = -1, 271 ###S4

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[route]
layers = -1, -8

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=2
pad=1
filters=640
activation=mish

[route]
layers = -1, 255 ###S5

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[route]
layers = -1, -8

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=2
pad=1
filters=640
activation=mish

[route]
layers = -1, 239 ###S6

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[route]
layers = -1, -8

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=2
pad=1
filters=640
activation=mish

[route]
layers = -1, 223 ###S7

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[route]
layers = -1, -8

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

### End of CSPPAN ###

### Start of YOLO ###

[route]
layers = 287 ###

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=320
activation=mish

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=320
activation=logistic

[sam]
from=-2

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=320
activation=mish

[convolutional]
size=1
stride=1
pad=1
filters=340
activation=logistic


[yolo]
mask = 0,1,2,3
anchors = 13,17,  22,25,  27,66,  55,41, 57,88,  112,69,  69,177,  136,138, 136,138,  287,114,  134,275,  268,248, 268,248,  232,504,  445,416,  640,640, 812,393,  477,808,  1070,908,  1408,1408
classes=80
num=16
ignore_thresh = .7
truth_thresh = 1
#random=1
resize=1.5
scale_x_y = 2.0
jitter=.1
objectness_smooth=1
iou_thresh=0.2
iou_normalizer=0.05
cls_normalizer=0.5
obj_normalizer=4.0
iou_loss=ciou
nms_kind=diounms
beta_nms=0.6
max_delta=40
new_coords=1

[route]
layers = 300 ###

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=640
activation=logistic

[sam]
from=-2

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=640
activation=mish

[convolutional]
size=1
stride=1
pad=1
filters=340
activation=logistic

[yolo]
mask = 4,5,6,7
anchors = 13,17,  22,25,  27,66,  55,41, 57,88,  112,69,  69,177,  136,138, 136,138,  287,114,  134,275,  268,248, 268,248,  232,504,  445,416,  640,640, 812,393,  477,808,  1070,908,  1408,1408
classes=80
num=16
ignore_thresh = .7
truth_thresh = 1
#random=1
resize=1.5
scale_x_y = 2.0
jitter=.1
objectness_smooth=1
iou_thresh=0.2
iou_normalizer=0.05
cls_normalizer=0.5
obj_normalizer=1.0
iou_loss=ciou
nms_kind=diounms
beta_nms=0.6
max_delta=40
new_coords=1

[route]
layers = 313 ###

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=1280
activation=mish

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=1280
activation=logistic

[sam]
from=-2

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=1280
activation=mish

[convolutional]
size=1
stride=1
pad=1
filters=340
activation=logistic

[yolo]
mask = 8,9,10,11
anchors = 13,17,  22,25,  27,66,  55,41, 57,88,  112,69,  69,177,  136,138, 136,138,  287,114,  134,275,  268,248, 268,248,  232,504,  445,416,  640,640, 812,393,  477,808,  1070,908,  1408,1408
classes=80
num=16
ignore_thresh = .7
truth_thresh = 1
#random=1
resize=1.5
scale_x_y = 2.0
jitter=.1
objectness_smooth=1
iou_thresh=0.2
iou_normalizer=0.05
cls_normalizer=0.5
obj_normalizer=0.5
iou_loss=ciou
nms_kind=diounms
beta_nms=0.6
max_delta=40
new_coords=1

[route]
layers = 326 ###

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=1280
activation=mish

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=1280
activation=logistic

[sam]
from=-2

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=1280
activation=mish

[convolutional]
size=1
stride=1
pad=1
filters=340
activation=logistic

[yolo]
mask = 12,13,14,15
anchors = 13,17,  22,25,  27,66,  55,41, 57,88,  112,69,  69,177,  136,138, 136,138,  287,114,  134,275,  268,248, 268,248,  232,504,  445,416,  640,640, 812,393,  477,808,  1070,908,  1408,1408
classes=80
num=16
ignore_thresh = .7
truth_thresh = 1
#random=1
resize=1.5
scale_x_y = 2.0
jitter=.1
objectness_smooth=1
iou_thresh=0.2
iou_normalizer=0.05
cls_normalizer=0.5
obj_normalizer=0.4
iou_loss=ciou
nms_kind=diounms
beta_nms=0.6
max_delta=40
new_coords=1

[route]
layers = 339 ###

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=1280
activation=mish

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=1280
activation=logistic

[sam]
from=-2

[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=1280
activation=mish

[convolutional]
size=1
stride=1
pad=1
filters=340
activation=logistic

[yolo]
mask = 16,17,18,19
anchors = 13,17,  22,25,  27,66,  55,41, 57,88,  112,69,  69,177,  136,138, 136,138,  287,114,  134,275,  268,248, 268,248,  232,504,  445,416,  640,640, 812,393,  477,808,  1070,908,  1408,1408
classes=80
num=16
ignore_thresh = .7
truth_thresh = 1
#random=1
resize=1.5
scale_x_y = 2.0
jitter=.1
objectness_smooth=1
iou_thresh=0.2
iou_normalizer=0.05
cls_normalizer=0.5
obj_normalizer=0.1
iou_loss=ciou
nms_kind=diounms
beta_nms=0.6
max_delta=40
new_coords=1

### End of YOLO ###