darknet/cfg/detection.cfg
2015-05-20 10:06:42 -07:00

198 lines
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INI

[net]
batch=64
subdivisions=4
height=448
width=448
channels=3
learning_rate=0.01
momentum=0.9
decay=0.0005
seen = 0
[crop]
crop_width=448
crop_height=448
flip=0
angle=0
saturation = 2
exposure = 2
[convolutional]
filters=64
size=7
stride=2
pad=1
activation=ramp
[convolutional]
filters=192
size=3
stride=2
pad=1
activation=ramp
[convolutional]
filters=128
size=1
stride=1
pad=1
activation=ramp
[convolutional]
filters=256
size=3
stride=2
pad=1
activation=ramp
[convolutional]
filters=128
size=1
stride=1
pad=1
activation=ramp
[convolutional]
filters=256
size=3
stride=1
pad=1
activation=ramp
[convolutional]
filters=128
size=1
stride=1
pad=1
activation=ramp
[convolutional]
filters=512
size=3
stride=2
pad=1
activation=ramp
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=ramp
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=ramp
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=ramp
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=ramp
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=ramp
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=ramp
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=ramp
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=ramp
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=ramp
[convolutional]
filters=1024
size=3
stride=2
pad=1
activation=ramp
[convolutional]
filters=512
size=1
stride=1
pad=1
activation=ramp
[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=ramp
[convolutional]
size=3
stride=1
pad=1
filters=1024
activation=ramp
[convolutional]
size=3
stride=2
pad=1
filters=1024
activation=ramp
[convolutional]
size=3
stride=1
pad=1
filters=1024
activation=ramp
[connected]
output=4096
activation=ramp
[dropout]
probability=.5
[connected]
output=1225
activation=logistic
[detection]
classes=20
coords=4
rescore=0
nuisance = 1
background=1