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- [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
-
- # single gpu
- learning_rate=0.001
- burn_in=1000
- max_batches = 50200
-
- # multi
- #learning_rate=0.00025
- #burn_in=4000
- #max_batches = 50200
- ##max_batches = 200800
-
- policy=steps
- steps=40000,45000
- scales=.1,.1
-
-
- # Densenet
- [convolutional]
- batch_normalize=1
- filters=32
- size=7
- stride=2
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=64
- size=3
- stride=2
- pad=1
- activation=leaky
-
- # i=0
- # denseblock
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 1
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 4
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 7
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 10
- # /denseblock
-
- # transition_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- # route_1 layer:15
- [maxpool]
- size=2
- stride=2
- # /transition_layer
-
- ###############################################
-
- # i=1
- # denseblock
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 15
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 18
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 21
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 24
- # /denseblock
-
- # transition_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- # route_2 layer:29
- [maxpool]
- size=2
- stride=2
- # /transition_layer
- ################################################
-
- # i=2
- # denseblock
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 29
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 32
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 35
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 38
- # /denseblock
-
- # transition_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [maxpool]
- size=2
- stride=2
- # /transition_layer
-
- ################################################
-
- # denseblock
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 43
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 46
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 49
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 52
- # /denseblock
- # /densenet
- ######################################
-
- # denseblock
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 55
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 58
-
- # /denseblock
- ######################################
-
- [convolutional]
- batch_normalize=1
- filters=128
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- size=1
- stride=1
- pad=1
- filters=21
- activation=linear
-
- [yolo]
- mask = 6,7,8
- anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326
- classes=2
- num=9
- jitter=.3
- ignore_thresh = .5
- truth_thresh = 1
- random=0
- iou_normalizer=1.0
- iou_loss=mse
-
- ######################################
-
- [route]
- layers = -4
-
- [convolutional]
- batch_normalize=1
- filters=32
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [upsample]
- stride=2
-
- [route]
- layers = -1, 29
-
- # denseblock
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 68
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 71
-
- # /denseblock
- ######################################
-
- [convolutional]
- batch_normalize=1
- filters=64
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- size=1
- stride=1
- pad=1
- filters=21
- activation=linear
-
- [yolo]
- mask = 3,4,5
- anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326
- classes=2
- num=9
- jitter=.3
- ignore_thresh = .5
- truth_thresh = 1
- random=0
- iou_normalizer=1.0
- iou_loss=mse
-
- ######################################
-
- [route]
- layers = -4
-
- [convolutional]
- batch_normalize=1
- filters=32
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [upsample]
- stride=2
-
- [route]
- layers = -1, 15
-
- # denseblock
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 81
-
- # bottleneck_layer
- [convolutional]
- batch_normalize=1
- filters=64
- size=1
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- batch_normalize=1
- filters=16
- size=3
- stride=1
- pad=1
- activation=leaky
- # /bottleneck_layer
-
- [route]
- layers = -1, 84
-
- # /denseblock
- ######################################
-
- [convolutional]
- batch_normalize=1
- filters=32
- size=3
- stride=1
- pad=1
- activation=leaky
-
- [convolutional]
- size=1
- stride=1
- pad=1
- filters=21
- activation=linear
-
- [yolo]
- mask = 0,1,2
- anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326
- classes=2
- num=9
- jitter=.3
- ignore_thresh = .5
- truth_thresh = 1
- random=0
- iou_normalizer=1.0
- iou_loss=mse
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