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1259 lignes
[net]
[net]
# Testing
# Testing
#batch=1
#batch=1
#subdivisions=1
#subdivisions=1
# Training
# Training
batch=64
batch=64
subdivisions=16
subdivisions=8
width=608
width=512
height=608
height=512
channels=3
channels=3
momentum=0.949
momentum=0.949
decay=0.0005
decay=0.0005
angle=0
angle=0
saturation = 1.5
saturation = 1.5
exposure = 1.5
exposure = 1.5
hue=.1
hue=.1


learning_rate=0.001
learning_rate=0.00261
burn_in=1000
burn_in=1000
max_batches = 500500
max_batches = 500500
policy=steps
policy=steps
steps=400000,450000
steps=400000,450000
scales=.1,.1
scales=.1,.1


#cutmix=1
#cutmix=1
mosaic=1
mosaic=1


#:104x104 54:52x52 85:26x26 104:13x13 for 416
#23:104x104 54:52x52 85:26x26 104:13x13 for 416




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


# Downsample
# Downsample


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


Text moved with changes to lines 760-766 (98.0% similarity)
[convolutional]
#[convolutional]
batch_normalize=1
#batch_normalize=1
filters=64
#filters=64
size=1
#size=1
stride=1
#stride=1
pad=1
#pad=1
activation=mish
#activation=mish


[route]
#[route]
layers = -2
#layers = -2


Text moved with changes to lines 867-873 (98.6% similarity)
[convolutional]
#[convolutional]
batch_normalize=1
#batch_normalize=1
filters=64
#filters=64
size=1
#size=1
stride=1
#stride=1
pad=1
#pad=1
activation=mish
#activation=mish


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=32
filters=32
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


Text moved with changes to lines 878-884 (98.6% similarity)
[convolutional]
#[convolutional]
batch_normalize=1
#batch_normalize=1
filters=64
#filters=64
size=1
#size=1
stride=1
#stride=1
pad=1
#pad=1
activation=mish
#activation=mish


[route]
#[route]
layers = -1,-7
#layers = -1,-7


Text moved with changes to lines 954-960 (98.0% similarity)
[convolutional]
#[convolutional]
batch_normalize=1
#batch_normalize=1
filters=64
#filters=64
size=1
#size=1
stride=1
#stride=1
pad=1
#pad=1
activation=mish
#activation=mish


# Downsample
# Downsample


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=128
filters=128
size=3
size=3
stride=2
stride=2
pad=1
pad=1
activation=mish
activation=mish


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=64
filters=64
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


[route]
[route]
layers = -2
layers = -2


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=64
filters=64
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=64
filters=64
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=64
filters=64
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=64
filters=64
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


[route]
[route]
layers = -1,-10
layers = -1,-10


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


# Downsample
# Downsample


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=3
size=3
stride=2
stride=2
pad=1
pad=1
activation=mish
activation=mish


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


[route]
[route]
layers = -2
layers = -2


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


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


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


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


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


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


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


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


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear




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


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


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


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


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


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


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


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


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


[route]
[route]
layers = -1,-28
layers = -1,-28


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


# Downsample
# Downsample


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=512
filters=512
size=3
size=3
stride=2
stride=2
pad=1
pad=1
activation=mish
activation=mish


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


[route]
[route]
layers = -2
layers = -2


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear




[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear




[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear




[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear




[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear




[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear




[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


[route]
[route]
layers = -1,-28
layers = -1,-28


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=512
filters=512
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


# Downsample
# Downsample


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=1024
filters=1024
size=3
size=3
stride=2
stride=2
pad=1
pad=1
activation=mish
activation=mish


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=512
filters=512
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


[route]
[route]
layers = -2
layers = -2


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=512
filters=512
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=512
filters=512
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=512
filters=512
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=512
filters=512
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=512
filters=512
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


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


[shortcut]
[shortcut]
from=-3
from=-3
activation=linear
activation=linear


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=512
filters=512
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish


[route]
[route]
layers = -1,-16
layers = -1,-16


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=1024
filters=1024
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=mish
activation=mish
stopbackward=800


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


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

[route]
layers = -2

Text moved with changes from lines 48-54 (98.0% similarity)
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=mish


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
size=3
size=3
stride=1
stride=1
pad=1
pad=1
filters=1024
filters=512
activation=leaky
activation=mish


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


### SPP ###
### SPP ###
[maxpool]
[maxpool]
stride=1
stride=1
size=5
size=5


[route]
[route]
layers=-2
layers=-2


[maxpool]
[maxpool]
stride=1
stride=1
size=9
size=9


[route]
[route]
layers=-4
layers=-4


[maxpool]
[maxpool]
stride=1
stride=1
size=13
size=13


[route]
[route]
layers=-1,-3,-5,-6
layers=-1,-3,-5,-6
### End SPP ###
### End SPP ###


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


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
size=3
size=3
stride=1
stride=1
pad=1
pad=1
filters=1024
filters=512
activation=leaky
activation=mish

[route]
layers = -1, -13


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


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


[upsample]
[upsample]
stride=2
stride=2


[route]
[route]
layers = 85
layers = 79


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


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


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

Text moved with changes from lines 59-65 (98.6% similarity)
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

Text moved with changes from lines 87-93 (98.6% similarity)
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
size=3
size=3
stride=1
stride=1
pad=1
pad=1
filters=512
filters=256
activation=leaky
activation=mish


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


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
size=3
size=3
stride=1
stride=1
pad=1
pad=1
filters=512
filters=256
activation=leaky
activation=mish

[route]
layers = -1, -6


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


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


[upsample]
[upsample]
stride=2
stride=2


[route]
[route]
layers = 54
layers = 48


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


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


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

Text moved with changes from lines 98-104 (98.0% similarity)
[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]
[convolutional]
batch_normalize=1
batch_normalize=1
size=3
size=3
stride=1
stride=1
pad=1
pad=1
filters=256
filters=128
activation=leaky
activation=mish


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


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
size=3
size=3
stride=1
stride=1
pad=1
pad=1
filters=256
filters=128
activation=leaky
activation=mish

[route]
layers = -1, -6


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


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


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


[convolutional]
[convolutional]
size=1
size=1
stride=1
stride=1
pad=1
pad=1
filters=255
filters=255
activation=linear
activation=linear




[yolo]
[yolo]
mask = 0,1,2
mask = 0,1,2
anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
classes=80
classes=80
num=9
num=9
jitter=.3
jitter=.3
ignore_thresh = .7
ignore_thresh = .7
truth_thresh = 1
truth_thresh = 1
scale_x_y = 1.2
random=1
scale_x_y = 1.05
iou_thresh=0.213
iou_thresh=0.213
cls_normalizer=1.0
cls_normalizer=1.0
iou_normalizer=0.07
iou_normalizer=0.07
iou_loss=ciou
iou_loss=ciou
nms_kind=greedynms
nms_kind=greedynms
beta_nms=0.6
beta_nms=0.6
max_delta=5



[route]
[route]
layers = -4
layers = -4


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
size=3
size=3
stride=2
stride=2
pad=1
pad=1
filters=256
filters=256
activation=leaky
activation=mish


[route]
[route]
layers = -1, -16
layers = -1, -20


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

[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
size=3
size=3
stride=1
stride=1
pad=1
pad=1
filters=512
filters=256
activation=leaky
activation=mish


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


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
size=3
size=3
stride=1
stride=1
pad=1
pad=1
filters=512
filters=256
activation=leaky
activation=mish

[route]
layers = -1,-6


[convolutional]
[convolutional]
batch_normalize=1
batch_normalize=1
filters=256
filters=256
size=1
size=1
stride=1
stride=1
pad=1
pad=1
activation=leaky
activation=mish
Différences enregistrées