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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 = 40200
- policy=steps
- steps=-1,100,20000,30000
- scales=.1,10,.1,.1
- [convolutional]
- #xnor=1
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=2
- [convolutional]
- xnor=1
- bin_output=1
- batch_normalize=1
- filters=32
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=2
- [convolutional]
- xnor=1
- bin_output=1
- batch_normalize=1
- filters=64
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=2
- [convolutional]
- xnor=1
- bin_output=1
- batch_normalize=1
- filters=128
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=2
- [convolutional]
- xnor=1
- bin_output=1
- batch_normalize=1
- filters=256
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=2
- [convolutional]
- xnor=1
- bin_output=1
- batch_normalize=1
- filters=512
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=1
- [convolutional]
- xnor=1
- bin_output=1
- batch_normalize=1
- filters=1024
- size=3
- stride=1
- pad=1
- activation=leaky
- ###########
- [convolutional]
- xnor=1
- 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
|
