1115 lines
13 KiB
INI
1115 lines
13 KiB
INI
[net]
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# Testing
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# batch=1
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# subdivisions=1
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# Training
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batch=64
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subdivisions=16
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width=416
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height=416
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channels=3
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momentum=0.9
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decay=0.0005
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angle=0
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saturation = 1.5
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exposure = 1.5
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hue=.1
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learning_rate=0.001
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burn_in=1000
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max_batches = 500500
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policy=steps
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steps=400000,450000
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scales=.1,.1
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[convolutional]
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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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# Downsample
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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=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=32
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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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[shortcut]
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from=-3
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activation=linear
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# Downsample
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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=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=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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[shortcut]
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from=-3
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activation=linear
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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=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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[shortcut]
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from=-3
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activation=linear
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# Downsample
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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=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=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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[shortcut]
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from=-3
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activation=linear
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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=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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[shortcut]
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from=-3
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activation=linear
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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=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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[shortcut]
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from=-3
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activation=linear
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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=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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[shortcut]
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from=-3
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activation=linear
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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=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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[shortcut]
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from=-3
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activation=linear
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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=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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[shortcut]
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from=-3
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activation=linear
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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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|
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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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[shortcut]
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from=-3
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activation=linear
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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=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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[shortcut]
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from=-3
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activation=linear
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# Downsample
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|
|
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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=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=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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|
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[shortcut]
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from=-3
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activation=linear
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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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|
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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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|
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[shortcut]
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from=-3
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activation=linear
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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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|
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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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|
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[shortcut]
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from=-3
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activation=linear
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|
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|
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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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|
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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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[shortcut]
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from=-3
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activation=linear
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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=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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[shortcut]
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from=-3
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activation=linear
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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=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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|
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[shortcut]
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from=-3
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activation=linear
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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=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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|
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[shortcut]
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from=-3
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activation=linear
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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=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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|
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[shortcut]
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from=-3
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activation=linear
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|
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# Downsample
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[convolutional]
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batch_normalize=1
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filters=1024
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size=3
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stride=2
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pad=1
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activation=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=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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|
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[shortcut]
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from=-3
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activation=linear
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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=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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|
|
[shortcut]
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from=-3
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activation=linear
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|
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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=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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|
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[shortcut]
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from=-3
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activation=linear
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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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|
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[convolutional]
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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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[shortcut]
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from=-3
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activation=linear
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######################
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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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size=3
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stride=1
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pad=1
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filters=1024
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activation=leaky
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|
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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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### SPP ###
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[maxpool]
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stride=1
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size=5
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[route]
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layers=-2
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[maxpool]
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stride=1
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size=9
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[route]
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layers=-4
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[maxpool]
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stride=1
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size=13
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[route]
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layers=-1,-3,-5,-6
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### End SPP ###
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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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|
|
|
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[convolutional]
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batch_normalize=1
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size=3
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stride=1
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pad=1
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filters=1024
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activation=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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|
size=3
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|
stride=1
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|
pad=1
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filters=1024
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activation=leaky
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|
|
|
[convolutional]
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size=1
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stride=1
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pad=1
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filters=255
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activation=linear
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|
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# 89
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[yolo]
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mask = 6,7,8
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anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326, 10,7, 16,15, 33,12, 5,13, 8,30, 17,23, 30,31, 62,23, 59,60, 15,61, 31,45, 30,119, 116,45, 156,99, 373,163, 58,90, 78,198, 187,326
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classes=80
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num=27
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jitter=.3
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ignore_thresh = .7
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truth_thresh = 1
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random=1
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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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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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|
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[upsample]
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stride=2
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[route]
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layers = -1, 61
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|
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|
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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]
|
|
batch_normalize=1
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|
size=3
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|
stride=1
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|
pad=1
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|
filters=512
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|
activation=leaky
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|
|
|
[convolutional]
|
|
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]
|
|
batch_normalize=1
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|
size=3
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|
stride=1
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pad=1
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filters=512
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activation=leaky
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|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
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]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=512
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
size=1
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stride=1
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pad=1
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filters=255
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activation=linear
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|
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# 101
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[yolo]
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mask = 3,4,5
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anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326, 10,7, 16,15, 33,12, 5,13, 8,30, 17,23, 30,31, 62,23, 59,60, 15,61, 31,45, 30,119, 116,45, 156,99, 373,163, 58,90, 78,198, 187,326
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|
classes=80
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num=27
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|
jitter=.3
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|
ignore_thresh = .7
|
|
truth_thresh = 1
|
|
random=1
|
|
|
|
|
|
|
|
[route]
|
|
layers = -4
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=128
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[upsample]
|
|
stride=2
|
|
|
|
[route]
|
|
layers = -1, 36
|
|
|
|
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=128
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=128
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=128
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
filters=255
|
|
activation=linear
|
|
|
|
# 113
|
|
[yolo]
|
|
mask = 0,1,2
|
|
anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326, 10,7, 16,15, 33,12, 5,13, 8,30, 17,23, 30,31, 62,23, 59,60, 15,61, 31,45, 30,119, 116,45, 156,99, 373,163, 58,90, 78,198, 187,326
|
|
classes=80
|
|
num=27
|
|
jitter=.3
|
|
ignore_thresh = .7
|
|
truth_thresh = 1
|
|
random=1
|
|
|
|
##################
|
|
|
|
[route]
|
|
layers = 110
|
|
|
|
# 115
|
|
[convolutional]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
# 116
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=128
|
|
size=1
|
|
stride_x=1
|
|
stride_y=2
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
filters=255
|
|
activation=linear
|
|
|
|
[yolo]
|
|
mask = 9,10,11
|
|
anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326, 10,7, 16,15, 33,12, 5,13, 8,30, 17,23, 30,31, 62,23, 59,60, 15,61, 31,45, 30,119, 116,45, 156,99, 373,163, 58,90, 78,198, 187,326
|
|
classes=80
|
|
num=27
|
|
jitter=.3
|
|
ignore_thresh = .7
|
|
truth_thresh = 1
|
|
random=1
|
|
|
|
|
|
|
|
[route]
|
|
layers = 110
|
|
|
|
# 121
|
|
[convolutional]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
# 122
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=128
|
|
size=1
|
|
stride_x=2
|
|
stride_y=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
filters=255
|
|
activation=linear
|
|
|
|
[yolo]
|
|
mask = 12,13,14
|
|
anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326, 10,7, 16,15, 33,12, 5,13, 8,30, 17,23, 30,31, 62,23, 59,60, 15,61, 31,45, 30,119, 116,45, 156,99, 373,163, 58,90, 78,198, 187,326
|
|
classes=80
|
|
num=27
|
|
jitter=.3
|
|
ignore_thresh = .7
|
|
truth_thresh = 1
|
|
random=1
|
|
|
|
##################
|
|
|
|
[route]
|
|
layers = 98
|
|
|
|
[convolutional]
|
|
share_index=115
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
share_index=116
|
|
batch_normalize=1
|
|
filters=128
|
|
size=1
|
|
stride_x=1
|
|
stride_y=2
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
filters=255
|
|
activation=linear
|
|
|
|
[yolo]
|
|
mask = 15,16,17
|
|
anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326, 10,7, 16,15, 33,12, 5,13, 8,30, 17,23, 30,31, 62,23, 59,60, 15,61, 31,45, 30,119, 116,45, 156,99, 373,163, 58,90, 78,198, 187,326
|
|
classes=80
|
|
num=27
|
|
jitter=.3
|
|
ignore_thresh = .7
|
|
truth_thresh = 1
|
|
random=1
|
|
|
|
|
|
|
|
[route]
|
|
layers = 98
|
|
|
|
[convolutional]
|
|
share_index=121
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
share_index=122
|
|
batch_normalize=1
|
|
filters=128
|
|
size=1
|
|
stride_x=2
|
|
stride_y=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
filters=255
|
|
activation=linear
|
|
|
|
[yolo]
|
|
mask = 18,19,20
|
|
anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326, 10,7, 16,15, 33,12, 5,13, 8,30, 17,23, 30,31, 62,23, 59,60, 15,61, 31,45, 30,119, 116,45, 156,99, 373,163, 58,90, 78,198, 187,326
|
|
classes=80
|
|
num=27
|
|
jitter=.3
|
|
ignore_thresh = .7
|
|
truth_thresh = 1
|
|
random=1
|
|
|
|
##################
|
|
|
|
[route]
|
|
layers = 86
|
|
|
|
[convolutional]
|
|
share_index=115
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
share_index=116
|
|
batch_normalize=1
|
|
filters=128
|
|
size=1
|
|
stride_x=1
|
|
stride_y=2
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
filters=255
|
|
activation=linear
|
|
|
|
[yolo]
|
|
mask = 21,22,23
|
|
anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326, 10,7, 16,15, 33,12, 5,13, 8,30, 17,23, 30,31, 62,23, 59,60, 15,61, 31,45, 30,119, 116,45, 156,99, 373,163, 58,90, 78,198, 187,326
|
|
classes=80
|
|
num=27
|
|
jitter=.3
|
|
ignore_thresh = .7
|
|
truth_thresh = 1
|
|
random=1
|
|
|
|
|
|
|
|
[route]
|
|
layers = 86
|
|
|
|
[convolutional]
|
|
share_index=121
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
share_index=122
|
|
batch_normalize=1
|
|
filters=128
|
|
size=1
|
|
stride_x=2
|
|
stride_y=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
filters=256
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
filters=255
|
|
activation=linear
|
|
|
|
[yolo]
|
|
mask = 24,25,26
|
|
anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326, 10,7, 16,15, 33,12, 5,13, 8,30, 17,23, 30,31, 62,23, 59,60, 15,61, 31,45, 30,119, 116,45, 156,99, 373,163, 58,90, 78,198, 187,326
|
|
classes=80
|
|
num=27
|
|
jitter=.3
|
|
ignore_thresh = .7
|
|
truth_thresh = 1
|
|
random=1 |