[net] batch=128 subdivisions=2 width=320 height=320 channels=3 momentum=0.9 decay=4e-5 angle=0 saturation=1.5 exposure=1.5 hue=.1 learning_rate=0.001 burn_in=4000 max_batches=800020 policy=steps steps=400000,650000 scales=.1,.1 [convolutional] filters=32 size=3 stride=2 pad=1 batch_normalize=1 activation=relu [convolutional] filters=32 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=32 size=3 groups=32 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=16 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [convolutional] filters=96 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=96 size=3 groups=96 stride=2 pad=1 batch_normalize=1 activation=relu [convolutional] filters=24 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [convolutional] filters=144 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=144 size=3 groups=144 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=24 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [shortcut] from=-4 activation=linear [convolutional] filters=144 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=144 size=3 groups=144 stride=2 pad=1 batch_normalize=1 activation=relu [convolutional] filters=32 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [convolutional] filters=192 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=192 size=3 groups=192 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=32 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [shortcut] from=-4 activation=linear [convolutional] filters=192 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=192 size=3 groups=192 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=32 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [shortcut] from=-4 activation=linear [convolutional] filters=192 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=192 size=3 groups=192 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=64 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [convolutional] filters=384 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=384 size=3 groups=384 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=64 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [shortcut] from=-4 activation=linear [convolutional] filters=384 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=384 size=3 groups=384 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=64 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [shortcut] from=-4 activation=linear [convolutional] filters=384 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=384 size=3 groups=384 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=64 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [shortcut] from=-4 activation=linear [convolutional] filters=384 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=384 size=3 groups=384 stride=2 pad=1 batch_normalize=1 activation=relu [convolutional] filters=96 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [convolutional] filters=576 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=576 size=3 groups=576 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=96 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [shortcut] from=-4 activation=linear [convolutional] filters=576 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=576 size=3 groups=576 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=96 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [shortcut] from=-4 activation=linear [convolutional] filters=576 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=576 size=3 groups=576 stride=2 pad=1 batch_normalize=1 activation=relu [convolutional] filters=160 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [convolutional] filters=960 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=960 size=3 groups=960 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=160 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [shortcut] from=-4 activation=linear [convolutional] filters=960 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=960 size=3 groups=960 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=160 size=1 stride=1 pad=1 batch_normalize=1 activation=linear [shortcut] from=-4 activation=linear ### SPP ### [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=288 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=288 size=3 groups=288 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=96 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=384 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] size=1 stride=1 pad=1 filters=255 activation=linear [yolo] mask = 3,4,5 anchors = 12, 18, 37, 49, 52,132, 115, 74, 119,199, 243,238 classes=80 num=6 jitter=.1 ignore_thresh = .5 truth_thresh = 1 random=1 ################# 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= 65 [upsample] stride=2 [route] layers=-1,48 ################################# [convolutional] filters=80 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=288 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=288 size=3 groups=288 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=192 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] filters=288 size=1 stride=1 pad=1 batch_normalize=1 activation=relu [convolutional] size=1 stride=1 pad=1 filters=255 activation=linear [yolo] mask = 0,1,2 anchors = 12, 18, 37, 49, 52,132, 115, 74, 119,199, 243,238 classes=80 num=6 jitter=.1 ignore_thresh = .5 truth_thresh = 1 random=1 ################# 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