darknet/cfg/darknet.cfg

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[net]
# Train
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batch=128
subdivisions=1
# Test
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#batch=1
#subdivisions=1
height=256
width=256
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channels=3
momentum=0.9
decay=0.0005
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max_crop=320
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learning_rate=0.1
policy=poly
power=4
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max_batches=1600000
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[convolutional]
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batch_normalize=1
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filters=16
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
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batch_normalize=1
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filters=32
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
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batch_normalize=1
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filters=64
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
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batch_normalize=1
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filters=128
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
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batch_normalize=1
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filters=256
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
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batch_normalize=1
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filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
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size=2
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stride=2
[convolutional]
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batch_normalize=1
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filters=1024
size=3
stride=1
pad=1
activation=leaky
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[convolutional]
filters=1000
size=1
stride=1
pad=1
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activation=leaky
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[avgpool]
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[softmax]
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groups=1
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