| | [net]
|
| |
|
| | batch=1
|
| | subdivisions=1
|
| |
|
| |
|
| |
|
| | width=1024
|
| | height=1024
|
| | 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 = 9280
|
| | policy=steps
|
| | steps=7424,8352
|
| | scales=.1,.1
|
| |
|
| | [convolutional]
|
| | batch_normalize=1
|
| | filters=32
|
| | size=3
|
| | stride=1
|
| | pad=1
|
| | activation=leaky
|
| |
|
| |
|
| |
|
| | [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
|
| |
|
| |
|
| |
|
| | [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
|
| |
|
| |
|
| |
|
| | [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
|
| |
|
| |
|
| |
|
| | [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
|
| |
|
| |
|
| |
|
| | [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
|
| |
|
| | [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=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 = .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=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 = .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=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 = .7
|
| | truth_thresh = 1
|
| | random=1
|
| |
|
| |
|
