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extraction.conv.cfg
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extraction.conv.cfg
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[net]
batch=1
subdivisions=1
height=256
width=256
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.5
policy=poly
power=6
max_batches=500000
[convolutional]
filters=64
size=7
stride=2
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=192
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=leaky
[avgpool]
[connected]
output=1000
activation=leaky
[softmax]
groups=1