mirror of https://github.com/AlexeyAB/darknet.git
559 lines
5.6 KiB
INI
559 lines
5.6 KiB
INI
[net]
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batch=128
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subdivisions=8
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height=256
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width=256
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channels=3
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momentum=0.9
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decay=0.0001
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learning_rate=0.05
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policy=poly
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power=4
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max_batches=500000
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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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saturation=1
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exposure=1
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angle=0
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##### Conv 1 #####
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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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size=3
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stride=2
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##### Conv 2_x #####
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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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activation=linear
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[route]
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layers=-4
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[convolutional]
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batch_normalize=1
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size=1
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stride=1
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pad=1
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activation=linear
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filters=256
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[shortcut]
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from = -3
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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=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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activation=linear
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[shortcut]
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from = -4
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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=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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activation=linear
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[shortcut]
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from = -4
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activation=leaky
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##### Conv 3_x #####
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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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activation=linear
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[route]
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layers=-4
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[convolutional]
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batch_normalize=1
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size=1
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stride=2
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pad=1
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activation=linear
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filters=512
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[shortcut]
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from = -3
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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=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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activation=linear
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[shortcut]
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from = -4
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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=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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activation=linear
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[shortcut]
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from = -4
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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=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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activation=linear
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[shortcut]
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from = -4
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activation=leaky
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##### Conv 4_x #####
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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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activation=linear
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[route]
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layers=-4
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[convolutional]
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batch_normalize=1
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size=1
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stride=2
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pad=1
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activation=linear
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filters=1024
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[shortcut]
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from = -3
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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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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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activation=linear
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[shortcut]
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from = -4
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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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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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activation=linear
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[shortcut]
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from = -4
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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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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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activation=linear
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[shortcut]
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from = -4
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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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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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activation=linear
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[shortcut]
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from = -4
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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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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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activation=linear
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[shortcut]
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from = -4
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activation=leaky
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##### Conv 5_x #####
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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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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=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=2048
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size=1
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stride=1
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pad=1
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activation=linear
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[route]
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layers=-4
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[convolutional]
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batch_normalize=1
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size=1
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stride=2
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pad=1
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activation=linear
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filters=2048
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[shortcut]
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from = -3
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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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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=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=2048
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size=1
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stride=1
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pad=1
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activation=linear
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[shortcut]
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from = -4
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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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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=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=2048
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size=1
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stride=1
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pad=1
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activation=linear
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[shortcut]
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from = -4
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activation=leaky
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[avgpool]
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[connected]
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output=1000
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activation=leaky
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[softmax]
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groups=1
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[cost]
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type=sse
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