|
- [net]
- # Testing
- #batch=1
- #subdivisions=1
- # Training
- batch=64
- subdivisions=32
- width=544
- height=544
- channels=3
- momentum=0.9
- decay=0.0005
- angle=0
- saturation = 1.5
- exposure = 1.5
- hue=.1
-
-
- learning_rate=0.001
- burn_in=1000
- max_batches = 10000
-
- policy=steps
- steps=8000,9000
- scales=.1,.1
-
- #policy=sgdr
- #sgdr_cycle=1000
- #sgdr_mult=2
- #steps=4000,6000,8000,9000
- #scales=1, 1, 0.1, 0.1
-
- [convolutional]
- batch_normalize=1
- filters=32
- size=3
- stride=1
- pad=1
- activation=leaky
-
- # Downsample
-
- [convolutional]
- batch_normalize=1
- filters=64
- size=3
- stride=2
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=32
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=64
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- # Downsample
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=3
- stride=2
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- # Downsample
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=3
- stride=2
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- # Downsample
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=3
- stride=2
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- # Downsample
-
- [convolutional]
- batch_normalize=1
- filters=1024
- size=3
- stride=2
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=1024
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=1024
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=1024
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=1024
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [shortcut]
- from=-3
- activation=linear
-
- ######################
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- size=3
- stride=1
- pad=1
- filters=1024
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=1
- stride=1
- pad=1
- activation=leaky
-
- ### SPP ###
- [maxpool]
- stride=1
- size=5
-
- [route]
- layers=-2
-
- [maxpool]
- stride=1
- size=9
-
- [route]
- layers=-4
-
- [maxpool]
- stride=1
- size=13
-
- [route]
- layers=-1,-3,-5,-6
-
- ### End SPP ###
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=1
- stride=1
- pad=1
- activation=leaky
-
-
- [convolutional]
- batch_normalize=1
- size=3
- stride=1
- pad=1
- filters=1024
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=1
- stride=1
- pad=1
- activation=leaky
-
-
-
- ########### to [yolo-3]
-
-
-
- [route]
- layers = -4
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [upsample]
- stride=2
-
- [route]
- layers = -1, 61
-
-
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- size=3
- stride=1
- pad=1
- filters=512
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- size=3
- stride=1
- pad=1
- filters=512
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
-
- ########### to [yolo-2]
-
-
-
-
- [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
-
-
-
- ########### to [yolo-1]
-
-
- ########### features of different layers
-
-
- [route]
- layers=1
-
- [reorg3d]
- stride=2
-
- [route]
- layers=5,-1
-
- [reorg3d]
- stride=2
-
- [route]
- layers=12,-1
-
- [reorg3d]
- stride=2
-
- [route]
- layers=37,-1
-
- [reorg3d]
- stride=2
-
- [route]
- layers=62,-1
-
-
-
- ########### [yolo-1]
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [upsample]
- stride=4
-
- [route]
- layers = -1,-12
-
-
- [convolutional]
- batch_normalize=1
- size=3
- stride=1
- pad=1
- filters=256
- activation=leaky
-
- [convolutional]
- size=1
- stride=1
- pad=1
- filters=340
- activation=linear
-
-
- [yolo]
- mask = 0,1,2,3
- anchors = 8,8, 10,13, 16,30, 33,23, 32,32, 30,61, 62,45, 64,64, 59,119, 116,90, 156,198, 373,326
- classes=80
- num=12
- jitter=.3
- ignore_thresh = .7
- truth_thresh = 1
- scale_x_y = 1.05
- random=0
-
-
-
-
- ########### [yolo-2]
-
-
- [route]
- layers = -7
-
- [convolutional]
- batch_normalize=1
- filters=256
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [upsample]
- stride=2
-
- [route]
- layers = -1,-28
-
-
- [convolutional]
- batch_normalize=1
- size=3
- stride=1
- pad=1
- filters=512
- activation=leaky
-
- [convolutional]
- size=1
- stride=1
- pad=1
- filters=340
- activation=linear
-
-
- [yolo]
- mask = 4,5,6,7
- anchors = 8,8, 10,13, 16,30, 33,23, 32,32, 30,61, 62,45, 64,64, 59,119, 116,90, 156,198, 373,326
- classes=80
- num=12
- jitter=.3
- ignore_thresh = .7
- truth_thresh = 1
- scale_x_y = 1.1
- random=0
-
-
-
- ########### [yolo-3]
-
- [route]
- layers = -14
-
- [convolutional]
- batch_normalize=1
- filters=512
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [route]
- layers = -1,-43
-
- [convolutional]
- batch_normalize=1
- size=3
- stride=1
- pad=1
- filters=1024
- activation=leaky
-
-
- [convolutional]
- size=1
- stride=1
- pad=1
- filters=340
- activation=linear
-
-
- [yolo]
- mask = 8,9,10,11
- anchors = 8,8, 10,13, 16,30, 33,23, 32,32, 30,61, 62,45, 59,119, 80,80, 116,90, 156,198, 373,326
- classes=80
- num=12
- jitter=.3
- ignore_thresh = .7
- truth_thresh = 1
- scale_x_y = 1.2
- random=0
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