mirror of
https://github.com/pjreddie/darknet.git
synced 2023-08-10 21:13:14 +03:00
205 lines
1.9 KiB
INI
205 lines
1.9 KiB
INI
[net]
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batch=64
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subdivisions=2
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height=448
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width=448
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channels=3
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learning_rate=0.01
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momentum=0.9
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decay=0.0005
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[crop]
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crop_width=448
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crop_height=448
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flip=0
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angle=0
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saturation = 2
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exposure = 2
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[convolutional]
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filters=64
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size=7
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stride=2
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pad=1
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activation=ramp
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[convolutional]
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filters=192
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size=3
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stride=2
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pad=1
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activation=ramp
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[convolutional]
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filters=128
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size=1
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=256
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size=3
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stride=2
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pad=1
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activation=ramp
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[convolutional]
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filters=128
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size=1
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=256
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size=3
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=128
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size=1
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=512
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size=3
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stride=2
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pad=1
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activation=ramp
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[convolutional]
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filters=256
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size=1
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=512
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size=3
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=256
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size=1
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=512
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size=3
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=256
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size=1
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=512
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size=3
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=256
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size=1
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=512
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size=3
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=256
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size=1
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=1024
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size=3
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stride=2
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pad=1
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activation=ramp
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[convolutional]
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filters=512
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size=1
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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filters=1024
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size=3
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stride=1
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pad=1
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activation=ramp
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[convolutional]
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size=3
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stride=1
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pad=1
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filters=1024
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activation=ramp
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[convolutional]
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size=3
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stride=2
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pad=1
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filters=1024
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activation=ramp
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[convolutional]
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size=3
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stride=1
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pad=1
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filters=1024
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activation=ramp
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[convolutional]
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size=3
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stride=1
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pad=1
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filters=1024
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activation=ramp
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[connected]
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output=4096
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activation=ramp
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[dropout]
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probability=.5
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[connected]
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output=1225
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activation=logistic
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[detection]
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classes=20
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coords=4
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rescore=0
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joint=0
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objectness=1
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