2015-12-14 22:57:10 +03:00
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[net]
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2017-10-03 01:17:48 +03:00
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# Training
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# batch=128
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# subdivisions=8
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# Testing
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batch=1
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subdivisions=1
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2015-12-14 22:57:10 +03:00
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height=256
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width=256
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2017-10-03 01:17:48 +03:00
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max_crop=448
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2015-12-14 22:57:10 +03:00
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channels=3
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momentum=0.9
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2017-10-03 01:17:48 +03:00
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decay=0.0005
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2015-12-14 22:57:10 +03:00
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2017-10-03 01:17:48 +03:00
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burn_in=1000
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2016-01-19 02:40:14 +03:00
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learning_rate=0.1
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policy=poly
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power=4
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2017-10-03 01:17:48 +03:00
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max_batches=1600000
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2015-12-14 22:57:10 +03:00
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2017-10-03 01:17:48 +03:00
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angle=7
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hue=.1
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saturation=.75
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exposure=.75
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aspect=.75
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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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=leaky
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[maxpool]
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2017-10-03 01:17:48 +03:00
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size=2
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2015-12-14 22:57:10 +03:00
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stride=2
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[convolutional]
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batch_normalize=1
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filters=64
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size=1
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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filters=64
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size=3
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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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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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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filters=64
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size=1
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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filters=64
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size=3
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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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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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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filters=64
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size=1
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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filters=64
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size=3
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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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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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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filters=128
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size=3
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stride=2
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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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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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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filters=128
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size=3
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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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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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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filters=128
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size=3
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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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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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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filters=128
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size=3
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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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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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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filters=128
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size=3
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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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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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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filters=128
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size=3
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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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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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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filters=128
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size=3
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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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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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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filters=128
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size=3
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stride=1
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pad=1
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activation=leaky
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[convolutional]
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batch_normalize=1
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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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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2017-10-03 01:17:48 +03:00
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# Conv 4
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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filters=1024
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size=1
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stride=1
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pad=1
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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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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=leaky
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[convolutional]
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batch_normalize=1
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filters=1024
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size=1
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stride=1
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pad=1
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2016-01-19 02:40:14 +03:00
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activation=linear
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2015-12-14 22:57:10 +03:00
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[shortcut]
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2017-10-03 01:17:48 +03:00
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from=-4
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2016-01-19 02:40:14 +03:00
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activation=leaky
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2015-12-14 22:57:10 +03:00
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|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=256
|
|
|
|
size=3
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=1024
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2017-10-03 01:17:48 +03:00
|
|
|
#Conv 5
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=512
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=512
|
|
|
|
size=3
|
|
|
|
stride=2
|
|
|
|
pad=1
|
|
|
|
activation=leaky
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=2048
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=512
|
|
|
|
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=2048
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
[convolutional]
|
|
|
|
batch_normalize=1
|
|
|
|
filters=512
|
|
|
|
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=2048
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=linear
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[shortcut]
|
2017-10-03 01:17:48 +03:00
|
|
|
from=-4
|
2016-01-19 02:40:14 +03:00
|
|
|
activation=leaky
|
|
|
|
|
2015-12-14 22:57:10 +03:00
|
|
|
|
2017-10-03 01:17:48 +03:00
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
[convolutional]
|
|
|
|
filters=1000
|
|
|
|
size=1
|
|
|
|
stride=1
|
|
|
|
pad=1
|
|
|
|
activation=linear
|
|
|
|
|
|
|
|
[avgpool]
|
2015-12-14 22:57:10 +03:00
|
|
|
|
|
|
|
[softmax]
|
|
|
|
groups=1
|
|
|
|
|
|
|
|
[cost]
|
|
|
|
type=sse
|
|
|
|
|