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- [net]
- # Testing
- batch=1
- subdivisions=1
- # Training
- # batch=64
- # subdivisions=2
- width=416
- height=416
- 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=16
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=2
- [convolutional]
- batch_normalize=1
- filters=32
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=2
- [convolutional]
- batch_normalize=1
- filters=64
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=2
- [convolutional]
- batch_normalize=1
- filters=128
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=2
- [convolutional]
- batch_normalize=1
- filters=256
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=2
- [convolutional]
- batch_normalize=1
- filters=512
- size=3
- stride=1
- pad=1
- activation=leaky
- [maxpool]
- size=2
- stride=1
- [convolutional]
- batch_normalize=1
- filters=1024
- size=3
- stride=1
- 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
- [convolutional]
- size=1
- stride=1
- pad=1
- filters=255
- activation=linear
- [yolo]
- mask = 3,4,5
- anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319
- classes=80
- num=6
- 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, 8
- [convolutional]
- batch_normalize=1
- filters=256
- size=3
- stride=1
- pad=1
- activation=leaky
- [convolutional]
- size=1
- stride=1
- pad=1
- filters=255
- activation=linear
- [yolo]
- mask = 0,1,2
- anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319
- classes=80
- num=6
- jitter=.3
- ignore_thresh = .7
- truth_thresh = 1
- random=1
|
