Edmond Yoo
2018-09-16 0dab894a5be9f7d10d85e89dea91d02c71bae84d
cfg/darknet.cfg
@@ -1,25 +1,20 @@
[net]
batch=128
subdivisions=1
height=256
width=256
height=224
width=224
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.01
policy=poly
power=.5
max_batches=600000
max_crop=320
[crop]
crop_height=224
crop_width=224
flip=1
angle=0
saturation=1
exposure=1
learning_rate=0.1
policy=poly
power=4
max_batches=1600000
[convolutional]
batch_normalize=1
filters=16
size=3
stride=1
@@ -31,6 +26,7 @@
stride=2
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
@@ -42,6 +38,7 @@
stride=2
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
@@ -53,6 +50,7 @@
stride=2
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
@@ -64,6 +62,7 @@
stride=2
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
@@ -75,6 +74,7 @@
stride=2
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
@@ -84,24 +84,27 @@
[maxpool]
size=2
stride=2
padding=1
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[avgpool]
[dropout]
probability=.5
[connected]
output=1000
[convolutional]
filters=1000
size=1
stride=1
pad=1
activation=leaky
[avgpool]
[softmax]
groups=1
[cost]
type=sse