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darknet/cfg/cspx-p7-mish-omega.cfg

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cspx-p7-mish_hp.cfg experimental
2020-11-04 01:28:52 +08:00
[net]
# Training
batch=100
subdivisions=2
label_smooth_eps=0.1
# Testing
# batch=1
# subdivisions=1
height=320
width=320
channels=3
min_crop=320
max_crop=640
mosaic=1
cutmix=1
burn_in=2000
learning_rate=0.1
policy=poly
power=4
max_batches=1200000
#max_batches=400000
momentum=0.9
decay=0.0005
angle=7
hue=.1
saturation=.75
exposure=.75
aspect=.75
[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=1600
size=1
stride=1
pad=1
activation=mish
[avgpool]
[convolutional]
filters=1000
size=1
stride=1
pad=1
activation=linear
[softmax]
groups=1