darknet/cfg/darknet.cfg

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INI

[net]
batch=128
subdivisions=1
height=256
width=256
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.01
policy=sigmoid
gamma=.00002
step=400000
max_batches=800000
[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]
size=2
stride=2
[convolutional]
filters=32
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=64
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=128
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=256
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=leaky
[avgpool]
[dropout]
probability=.5
[connected]
output=1000
activation=leaky
[softmax]
groups=1
[cost]
type=sse