2015-05-20 20:06:42 +03:00
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[net]
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2015-06-16 21:45:40 +03:00
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batch=64
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2015-08-14 21:45:11 +03:00
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subdivisions=64
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2015-05-20 20:06:42 +03:00
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height=448
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width=448
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channels=3
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2015-09-09 22:48:40 +03:00
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learning_rate=0.001
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2015-05-20 20:06:42 +03:00
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momentum=0.9
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decay=0.0005
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2015-09-09 22:48:40 +03:00
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policy=steps
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steps=50, 5000
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scales=10, .1
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max_batches = 8000
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2015-05-20 20:06:42 +03:00
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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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2015-06-09 21:17:46 +03:00
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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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2015-05-20 20:06:42 +03:00
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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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2015-06-10 10:11:41 +03:00
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rescore=0
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2015-07-21 00:56:53 +03:00
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joint=0
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objectness=1
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2015-09-22 03:30:32 +03:00
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background=0
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2015-07-21 00:56:53 +03:00
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