[net] # Testing #batch=1 #subdivisions=1 # Training batch=128 subdivisions=16 width=416 height=416 channels=1 momentum=0.9 decay=0.0005 angle=0 saturation = 1.5 exposure = 1.15 hue=0 learning_rate=0.001 burn_in=1000 max_batches = 15000 policy=steps steps=13000,14000 scales=.1,.1 [convolutional] batch_normalize=1 filters=16 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=32 size=3 stride=2 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=16 size=1 stride=1 pad=1 activation=leaky [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 [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 [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 dilation=2 [convolutional] batch_normalize=1 filters=32 size=1 stride=1 pad=1 activation=leaky [route] layers=-1, -3 [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 dilation=4 [convolutional] batch_normalize=1 filters=32 size=1 stride=1 pad=1 activation=leaky [route] layers=-1, -3 [convolutional] batch_normalize=1 filters=32 size=1 stride=1 pad=1 activation=leaky [route] layers=9, 13 [convolutional] batch_normalize=1 filters=32 size=1 stride=1 pad=1 activation=leaky [route] layers=-1, -3 [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 [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 [route] layers=8 [convolutional] batch_normalize=1 filters=16 size=1 stride=1 pad=1 activation=leaky [reorg3d] stride=2 [route] layers=25, 28 [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 [convolutional] size=1 stride=1 pad=1 filters=18 activation=linear [yolo] mask = 0,1,2 anchors = 25, 21, 36, 23, 37, 31, 49, 35, 63, 48, 98, 61 classes=1 num=6 jitter=.3 ignore_thresh = .7 truth_thresh = 1 random=1 [route] layers=1 [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] size=1 stride=1 pad=1 filters=18 activation=linear [yolo] mask = 3,4,5 anchors = 25, 21, 36, 23, 37, 31, 49, 35, 63, 48, 98, 61 classes=1 num=6 jitter=.3 ignore_thresh = .7 truth_thresh = 1 random=1