mirror of https://github.com/pjreddie/darknet.git
158 lines
1.4 KiB
INI
158 lines
1.4 KiB
INI
[net]
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# Training
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# batch=128
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# subdivisions=4
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# Testing
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batch=1
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subdivisions=1
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height=256
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width=256
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channels=3
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learning_rate=0.00001
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momentum=0.9
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decay=0.0005
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[crop]
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crop_height=224
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crop_width=224
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flip=1
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exposure=1
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saturation=1
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angle=0
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[convolutional]
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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=relu
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[convolutional]
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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=relu
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[maxpool]
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size=2
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stride=2
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[convolutional]
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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=relu
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[convolutional]
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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=relu
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[maxpool]
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size=2
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stride=2
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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=relu
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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=relu
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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=relu
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[maxpool]
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size=2
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stride=2
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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=relu
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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=relu
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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=relu
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[maxpool]
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size=2
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stride=2
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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=relu
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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=relu
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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=relu
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[maxpool]
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size=2
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stride=2
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[connected]
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output=4096
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activation=relu
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[dropout]
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probability=.5
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[connected]
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output=4096
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activation=relu
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[dropout]
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probability=.5
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[connected]
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output=1000
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activation=linear
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[softmax]
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groups=1
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