2016-06-07 01:48:52 +03:00
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[net]
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batch=1
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subdivisions=1
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height=448
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width=448
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channels=3
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momentum=0.9
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decay=0.0005
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learning_rate=0.0001
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policy=steps
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steps=20,40,60,80,20000,30000
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scales=5,5,2,2,.1,.1
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max_batches = 40000
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[convolutional]
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batch_normalize=1
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filters=16
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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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[maxpool]
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size=2
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stride=2
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[batchnorm]
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[convolutional]
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xnor = 1
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batch_normalize=1
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filters=32
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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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[maxpool]
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size=2
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stride=2
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[batchnorm]
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[convolutional]
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xnor = 1
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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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[maxpool]
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size=2
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stride=2
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[batchnorm]
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[convolutional]
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xnor = 1
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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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[maxpool]
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size=2
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stride=2
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[batchnorm]
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[convolutional]
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xnor = 1
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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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[maxpool]
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size=2
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stride=2
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[batchnorm]
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[convolutional]
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xnor = 1
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batch_normalize=1
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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=leaky
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[maxpool]
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size=2
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stride=2
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[batchnorm]
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[convolutional]
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2016-06-20 08:37:21 +03:00
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xnor = 1
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2016-06-07 01:48:52 +03:00
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batch_normalize=1
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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=leaky
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2016-06-20 08:37:21 +03:00
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[batchnorm]
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2016-06-07 01:48:52 +03:00
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[convolutional]
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2016-06-20 08:37:21 +03:00
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xnor = 1
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2016-06-07 01:48:52 +03:00
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batch_normalize=1
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2016-06-20 08:37:21 +03:00
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filters=256
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2016-06-07 01:48:52 +03:00
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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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[connected]
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output= 1470
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activation=linear
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[detection]
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classes=20
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coords=4
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rescore=1
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side=7
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num=2
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softmax=0
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sqrt=1
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jitter=.2
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object_scale=1
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noobject_scale=.5
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class_scale=1
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coord_scale=5
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