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- [net]
- # Testing
- batch=1
- subdivisions=1
- # Training
- # batch=64
- # subdivisions=8
- height=448
- width=448
- channels=3
- momentum=0.9
- decay=0.0005
- saturation=.75
- exposure=.75
- hue = .1
- learning_rate=0.0005
- policy=steps
- steps=200,400,600,800,20000,30000
- scales=2.5,2,2,2,.1,.1
- max_batches = 40000
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=2
- [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=2
- [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=256
- 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
|
