darknet/cfg/darknet.cfg

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[net]
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batch=128
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subdivisions=1
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height=256
width=256
channels=3
momentum=0.9
decay=0.0005
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learning_rate=0.1
policy=poly
power=4
max_batches=500000
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[crop]
crop_height=224
crop_width=224
flip=1
angle=0
saturation=1
exposure=1
[convolutional]
filters=16
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
filters=32
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
filters=64
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
filters=128
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
filters=256
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=leaky
[avgpool]
[dropout]
probability=.5
[connected]
output=1000
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activation=leaky
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[softmax]
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groups=1
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[cost]
type=sse