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| [net]
| batch=1
| subdivisions=1
| height=224
| width=224
| channels=3
| momentum=0.9
| decay=0.0005
|
| learning_rate=0.0005
| policy=steps
| steps=200,400,600,20000,30000
| scales=2.5,2,2,.1,.1
| max_batches = 40000
|
| [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
|
| [convolutional]
| filters=1024
| size=3
| stride=1
| pad=1
| activation=leaky
|
| [convolutional]
| filters=1024
| size=3
| stride=1
| pad=1
| activation=leaky
|
| [convolutional]
| filters=256
| 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
|
|
