2016-06-07 06:48:52 +08:00
|
|
|
[net]
|
|
|
|
|
batch=1
|
|
|
|
|
subdivisions=1
|
|
|
|
|
height=448
|
|
|
|
|
width=448
|
|
|
|
|
channels=3
|
|
|
|
|
momentum=0.9
|
|
|
|
|
decay=0.0005
|
|
|
|
|
|
|
|
|
|
learning_rate=0.0001
|
|
|
|
|
policy=steps
|
|
|
|
|
steps=20,40,60,80,20000,30000
|
|
|
|
|
scales=5,5,2,2,.1,.1
|
|
|
|
|
max_batches = 40000
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
batch_normalize=1
|
|
|
|
|
filters=16
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
|
|
[maxpool]
|
|
|
|
|
size=2
|
|
|
|
|
stride=2
|
|
|
|
|
|
|
|
|
|
[batchnorm]
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
xnor = 1
|
|
|
|
|
batch_normalize=1
|
|
|
|
|
filters=32
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
|
|
[maxpool]
|
|
|
|
|
size=2
|
|
|
|
|
stride=2
|
|
|
|
|
|
|
|
|
|
[batchnorm]
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
xnor = 1
|
|
|
|
|
batch_normalize=1
|
|
|
|
|
filters=64
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
|
|
[maxpool]
|
|
|
|
|
size=2
|
|
|
|
|
stride=2
|
|
|
|
|
|
|
|
|
|
[batchnorm]
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
xnor = 1
|
|
|
|
|
batch_normalize=1
|
|
|
|
|
filters=128
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
|
|
[maxpool]
|
|
|
|
|
size=2
|
|
|
|
|
stride=2
|
|
|
|
|
|
|
|
|
|
[batchnorm]
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
xnor = 1
|
|
|
|
|
batch_normalize=1
|
|
|
|
|
filters=256
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
|
|
[maxpool]
|
|
|
|
|
size=2
|
|
|
|
|
stride=2
|
|
|
|
|
|
|
|
|
|
[batchnorm]
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
|
xnor = 1
|
|
|
|
|
batch_normalize=1
|
|
|
|
|
filters=512
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
|
|
[maxpool]
|
|
|
|
|
size=2
|
|
|
|
|
stride=2
|
|
|
|
|
|
|
|
|
|
[batchnorm]
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
2016-06-20 13:37:21 +08:00
|
|
|
xnor = 1
|
2016-06-07 06:48:52 +08:00
|
|
|
batch_normalize=1
|
|
|
|
|
filters=1024
|
|
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=leaky
|
|
|
|
|
|
2016-06-20 13:37:21 +08:00
|
|
|
[batchnorm]
|
|
|
|
|
|
2016-06-07 06:48:52 +08:00
|
|
|
[convolutional]
|
2016-06-20 13:37:21 +08:00
|
|
|
xnor = 1
|
2016-06-07 06:48:52 +08:00
|
|
|
batch_normalize=1
|
2016-06-20 13:37:21 +08:00
|
|
|
filters=256
|
2016-06-07 06:48:52 +08:00
|
|
|
size=3
|
|
|
|
|
stride=1
|
|
|
|
|
pad=1
|
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
|
|
[connected]
|
|
|
|
|
output= 1470
|
|
|
|
|
activation=linear
|
|
|
|
|
|
|
|
|
|
[detection]
|
|
|
|
|
classes=20
|
|
|
|
|
coords=4
|
|
|
|
|
rescore=1
|
|
|
|
|
side=7
|
|
|
|
|
num=2
|
|
|
|
|
softmax=0
|
|
|
|
|
sqrt=1
|
|
|
|
|
jitter=.2
|
|
|
|
|
|
|
|
|
|
object_scale=1
|
|
|
|
|
noobject_scale=.5
|
|
|
|
|
class_scale=1
|
|
|
|
|
coord_scale=5
|
|
|
|
|
|
