darknet/cfg/extraction.cfg

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[net]
# Training
# batch=128
# subdivisions=4
# Testing
batch=1
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subdivisions=1
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height=224
width=224
max_crop=320
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channels=3
momentum=0.9
decay=0.0005
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learning_rate=0.1
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policy=poly
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power=4
max_batches=1600000
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[convolutional]
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batch_normalize=1
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filters=64
size=7
stride=2
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
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batch_normalize=1
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filters=192
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
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batch_normalize=1
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filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
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batch_normalize=1
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filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=1024
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
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batch_normalize=1
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filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
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batch_normalize=1
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filters=512
size=1
stride=1
pad=1
activation=leaky
[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]
groups=1