2015-06-12 06:51:17 +08:00
|
|
|
[net]
|
|
|
|
|
batch=128
|
2015-08-18 01:25:43 +08:00
|
|
|
subdivisions=4
|
2015-06-12 06:51:17 +08:00
|
|
|
height=256
|
|
|
|
|
width=256
|
|
|
|
|
channels=3
|
|
|
|
|
momentum=0.9
|
|
|
|
|
decay=0.0005
|
|
|
|
|
|
2015-11-04 11:23:17 +08:00
|
|
|
learning_rate=0.01
|
|
|
|
|
policy=steps
|
|
|
|
|
scales=.1,.1,.1
|
|
|
|
|
steps=200000,300000,400000
|
|
|
|
|
max_batches=800000
|
|
|
|
|
|
|
|
|
|
|
2015-06-12 06:51:17 +08:00
|
|
|
[crop]
|
|
|
|
|
crop_height=224
|
|
|
|
|
crop_width=224
|
|
|
|
|
flip=1
|
2015-07-08 15:36:43 +08:00
|
|
|
angle=0
|
|
|
|
|
saturation=1
|
|
|
|
|
exposure=1
|
2015-11-04 11:23:17 +08:00
|
|
|
shift=.2
|
2015-06-12 06:51:17 +08:00
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=64
|
|
|
|
|
size=7
|
|
|
|
|
stride=2
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=192
|
|
|
|
|
size=3
|
|
|
|
|
stride=2
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=128
|
|
|
|
|
size=1
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=256
|
|
|
|
|
size=3
|
|
|
|
|
stride=2
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=128
|
|
|
|
|
size=1
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=256
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=128
|
|
|
|
|
size=1
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=512
|
|
|
|
|
size=3
|
|
|
|
|
stride=2
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=256
|
|
|
|
|
size=1
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=512
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=256
|
|
|
|
|
size=1
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=512
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=256
|
|
|
|
|
size=1
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=512
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=256
|
|
|
|
|
size=1
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=512
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=256
|
|
|
|
|
size=1
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=1024
|
|
|
|
|
size=3
|
|
|
|
|
stride=2
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=512
|
|
|
|
|
size=1
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
filters=1024
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[maxpool]
|
|
|
|
|
size=3
|
|
|
|
|
stride=2
|
|
|
|
|
|
|
|
|
|
[connected]
|
|
|
|
|
output=4096
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[dropout]
|
|
|
|
|
probability=0.5
|
|
|
|
|
|
|
|
|
|
[connected]
|
|
|
|
|
output=1000
|
|
|
|
|
activation=ramp
|
|
|
|
|
|
|
|
|
|
[softmax]
|
|
|
|
|
|
|
|
|
|
[cost]
|
|
|
|
|
type=sse
|
|
|
|
|
|
