|
- [net]
- # Testing
- # batch=1
- # subdivisions=1
- # Training
- batch=64
- subdivisions=16
- width=608
- height=608
- 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 = 500200
- policy=steps
- steps=400000,450000
- scales=.1,.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
-
- [convolutional]
- batch_normalize=1
- size=3
- stride=1
- pad=1
- filters=1024
- activation=leaky
-
- [convolutional]
- size=1
- stride=1
- pad=1
- filters=850
- activation=linear
-
-
- [yolo]
- mask = 20,21,22,23,24,25,26,27,28,29
- anchors = 6,7, 9,18, 17,10, 21,22, 14,33, 36,15, 22,51, 34,34, 59,24, 32,74, 51,49, 90,38, 41,105, 67,72, 144,48, 54,148, 106,79, 81,109, 211,63, 107,147, 81,200, 149,112, 297,73, 152,187, 214,135, 121,264, 220,206, 299,153, 211,291, 309,230
- classes=80
- num=30
- jitter=.3
- ignore_thresh = .7
- truth_thresh = 1
- random=1
-
-
- [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
-
- [convolutional]
- batch_normalize=1
- size=3
- stride=1
- pad=1
- filters=512
- activation=leaky
-
- [convolutional]
- size=1
- stride=1
- pad=1
- filters=850
- activation=linear
-
-
- [yolo]
- mask = 10,11,12,13,14,15,16,17,18,19
- anchors = 6,7, 9,18, 17,10, 21,22, 14,33, 36,15, 22,51, 34,34, 59,24, 32,74, 51,49, 90,38, 41,105, 67,72, 144,48, 54,148, 106,79, 81,109, 211,63, 107,147, 81,200, 149,112, 297,73, 152,187, 214,135, 121,264, 220,206, 299,153, 211,291, 309,230
- classes=80
- num=30
- jitter=.3
- 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=850
- activation=linear
-
-
- [yolo]
- mask = 0,1,2,3,4,5,6,7,8,9
- anchors = 6,7, 9,18, 17,10, 21,22, 14,33, 36,15, 22,51, 34,34, 59,24, 32,74, 51,49, 90,38, 41,105, 67,72, 144,48, 54,148, 106,79, 81,109, 211,63, 107,147, 81,200, 149,112, 297,73, 152,187, 214,135, 121,264, 220,206, 299,153, 211,291, 309,230
- classes=80
- num=30
- jitter=.3
- ignore_thresh = .7
- truth_thresh = 1
- random=1
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