| @@ -0,0 +1,244 @@ | ||
| [net] | ||
| batch=1 | ||
| subdivisions=1 | ||
| 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=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 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=64 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [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 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=128 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [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 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=256 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=256 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [maxpool] | ||
| size=2 | ||
| stride=2 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=1024 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=1024 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [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] | ||
| batch_normalize=1 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| filters=1024 | ||
| activation=leaky | ||
|
|
||
| [route] | ||
| layers=-9 | ||
|
|
||
| [reorg] | ||
| stride=2 | ||
|
|
||
| [route] | ||
| layers=-1,-3 | ||
|
|
||
| [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=0 |
| @@ -0,0 +1,244 @@ | ||
| [net] | ||
| batch=64 | ||
| subdivisions=8 | ||
| height=416 | ||
| width=416 | ||
| channels=3 | ||
| momentum=0.9 | ||
| decay=0.0005 | ||
| angle=0 | ||
| saturation = 1.5 | ||
| exposure = 1.5 | ||
| hue=.1 | ||
|
|
||
| learning_rate=0.0001 | ||
| max_batches = 45000 | ||
| policy=steps | ||
| steps=100,25000,35000 | ||
| scales=10,.1,.1 | ||
|
|
||
| [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 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=64 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [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 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=128 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [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 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=256 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=256 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [maxpool] | ||
| size=2 | ||
| stride=2 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=1024 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=1024 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [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] | ||
| batch_normalize=1 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| filters=1024 | ||
| activation=leaky | ||
|
|
||
| [route] | ||
| layers=-9 | ||
|
|
||
| [reorg] | ||
| stride=2 | ||
|
|
||
| [route] | ||
| layers=-1,-3 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| filters=1024 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| filters=125 | ||
| activation=linear | ||
|
|
||
| [region] | ||
| anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52 | ||
| bias_match=1 | ||
| classes=20 | ||
| 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=0 |
| @@ -0,0 +1,244 @@ | ||
| [net] | ||
| batch=1 | ||
| subdivisions=1 | ||
| 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=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 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=64 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [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 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=128 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [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 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=256 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=256 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [maxpool] | ||
| size=2 | ||
| stride=2 | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=1024 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=1024 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| batch_normalize=1 | ||
| filters=512 | ||
| size=1 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [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] | ||
| batch_normalize=1 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| filters=1024 | ||
| activation=leaky | ||
|
|
||
| [route] | ||
| layers=-9 | ||
|
|
||
| [reorg] | ||
| stride=2 | ||
|
|
||
| [route] | ||
| layers=-1,-3 | ||
|
|
||
| [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=0 |