[net] batch=32 subdivisions=1 width=320 height=320 channels=3 momentum=0.949 decay=0.0005 angle=0 saturation=1.5 exposure=1.5 hue=.1 learning_rate=0.001 burn_in=4000 max_batches=500000 policy=steps steps=400000,450000 scales=.1,.1 [convolutional] filters=16 size=3 pad=1 stride=2 batch_normalize=1 activation=leaky [convolutional] filters=16 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=16 filters=16 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=8 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [convolutional] filters=16 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=16 filters=16 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=8 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=48 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=48 filters=48 size=3 pad=1 stride=2 batch_normalize=1 activation=leaky [convolutional] filters=16 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [convolutional] filters=64 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=64 filters=64 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=16 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=64 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=64 filters=64 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=16 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=64 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=64 filters=64 size=3 pad=1 stride=2 batch_normalize=1 activation=leaky [convolutional] filters=16 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=96 filters=96 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=16 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=96 filters=96 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=16 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=96 filters=96 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=32 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [convolutional] filters=192 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=192 filters=192 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=32 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=192 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=192 filters=192 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=32 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=192 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=192 filters=192 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=32 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=192 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=192 filters=192 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=32 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=192 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=192 filters=192 size=3 pad=1 stride=2 batch_normalize=1 activation=leaky [convolutional] filters=48 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [convolutional] filters=272 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=272 filters=272 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=48 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=272 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=272 filters=272 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=48 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=272 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=272 filters=272 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=48 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=272 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=272 filters=272 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=48 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=272 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=272 filters=272 size=3 pad=1 stride=2 batch_normalize=1 activation=leaky [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [convolutional] filters=448 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=448 filters=448 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=448 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=448 filters=448 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=448 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=448 filters=448 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=448 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=448 filters=448 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear [convolutional] filters=448 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] groups=448 filters=448 size=3 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=linear [dropout] probability=.2 [shortcut] from=-5 activation=linear ############### [maxpool] stride=1 size=3 [route] layers=-2 [maxpool] stride=1 size=5 [route] layers=-4 [maxpool] stride=1 size=9 [route] layers=-1,-3,-5,-6 ### End SPP ### ############### [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=leaky [convolutional] filters=96 size=5 groups=96 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=96 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [convolutional] filters=96 size=5 groups=96 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=96 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [convolutional] size=1 stride=1 pad=1 filters=255 activation=linear [yolo] mask = 3,4,5 anchors = 12, 18, 37, 49, 52,132, 115, 73, 119,199, 242,238 classes=80 num=6 jitter=.15 ignore_thresh = .5 truth_thresh = 1 random=0 scale_x_y = 1.0 iou_thresh=0.213 cls_normalizer=1.0 iou_normalizer=0.07 iou_loss=ciou nms_kind=greedynms beta_nms=0.6 [route] layers = -7 [upsample] stride = 2 [route] layers=-1,80 [convolutional] filters=144 size=5 groups=144 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=144 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [convolutional] filters=144 size=5 groups=144 stride=1 pad=1 batch_normalize=1 activation=leaky [convolutional] filters=144 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [convolutional] size=1 stride=1 pad=1 filters=255 activation=linear [yolo] mask = 0,1,2 anchors = 12, 18, 37, 49, 52,132, 115, 73, 119,199, 242,238 classes=80 num=6 jitter=.15 ignore_thresh = .5 truth_thresh = 1 random=0 scale_x_y = 1.00 iou_thresh=0.213 cls_normalizer=1.0 iou_normalizer=0.07 iou_loss=ciou nms_kind=greedynms beta_nms=0.6