darknet/cfg/strided.cfg

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[net]
batch=128
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subdivisions=4
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height=256
width=256
channels=3
learning_rate=0.01
momentum=0.9
decay=0.0005
[crop]
crop_height=224
crop_width=224
flip=1
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angle=0
saturation=1
exposure=1
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[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
[maxpool]
size=3
stride=2
[dropout]
probability=0.5
[connected]
output=4096
activation=ramp
[dropout]
probability=0.5
[connected]
output=1000
activation=ramp
[softmax]
[cost]
type=sse