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| [net]
| batch=64
| subdivisions=8
| width=416
| height=416
| channels=3
| momentum=0.9
| decay=0.0005
| angle=0
| saturation = 1.5
| exposure = 1.5
| hue=.1
|
| learning_rate=0.001
| max_batches = 120000
| policy=steps
| steps=-1,100,80000,100000
| scales=.1,10,.1,.1
|
| [convolutional]
| batch_normalize=1
| filters=16
| size=3
| stride=1
| pad=1
| activation=leaky
|
| [maxpool]
| size=2
| stride=2
|
| [convolutional]
| batch_normalize=1
| filters=32
| size=3
| stride=1
| pad=1
| activation=leaky
|
| [maxpool]
| size=2
| stride=2
|
| [convolutional]
| batch_normalize=1
| filters=64
| size=3
| stride=1
| pad=1
| activation=leaky
|
| [maxpool]
| size=2
| stride=2
|
| [convolutional]
| batch_normalize=1
| filters=128
| size=3
| stride=1
| pad=1
| activation=leaky
|
| [maxpool]
| size=2
| stride=2
|
| [convolutional]
| batch_normalize=1
| filters=256
| size=3
| stride=1
| pad=1
| activation=leaky
|
| [maxpool]
| size=2
| stride=2
|
| [convolutional]
| batch_normalize=1
| filters=512
| size=3
| stride=1
| pad=1
| activation=leaky
|
| [maxpool]
| size=2
| stride=1
|
| [convolutional]
| batch_normalize=1
| filters=1024
| size=3
| stride=1
| pad=1
| activation=leaky
|
| ###########
|
| [convolutional]
| batch_normalize=1
| size=3
| stride=1
| pad=1
| filters=1024
| activation=leaky
|
| [convolutional]
| size=1
| stride=1
| pad=1
| filters=425
| activation=linear
|
| [region]
| anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741
| bias_match=1
| classes=80
| coords=4
| num=5
| softmax=1
| jitter=.2
| rescore=1
|
| object_scale=5
| noobject_scale=1
| class_scale=1
| coord_scale=1
|
| absolute=1
| thresh = .6
| random=1
|
|
