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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
- learning_rate=0.001
- burn_in=1000
- max_batches = 200000
- policy=steps
- steps=180000,190000
- 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=21
- activation=linear
- [yolo]
- mask = 6,7,8
- anchors = 4,7, 7,15, 13,25, 25,42, 41,67, 75,94, 91,162, 158,205, 250,332
- classes=2
- num=9
- 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=21
- activation=linear
- [yolo]
- mask = 3,4,5
- anchors = 4,7, 7,15, 13,25, 25,42, 41,67, 75,94, 91,162, 158,205, 250,332
- classes=2
- num=9
- jitter=.3
- ignore_thresh = .7
- truth_thresh = 1
- random=1
- [route]
- layers = -3
- [convolutional]
- batch_normalize=1
- filters=128
- size=1
- stride=1
- pad=1
- activation=leaky
- [upsample]
- stride=2
- [route]
- layers = -1, 6
- [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 = 0,1,2
- anchors = 4,7, 7,15, 13,25, 25,42, 41,67, 75,94, 91,162, 158,205, 250,332
- classes=2
- num=9
- jitter=.3
- ignore_thresh = .7
- truth_thresh = 1
- random=1
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