[net] batch=64 subdivisions=16 height=448 width=448 channels=3 momentum=0.9 decay=0.0005 learning_rate=0.0001 policy=steps steps=20,40,60,80,20000,30000 scales=5,5,2,2,.1,.1 max_batches = 40000 [crop] crop_width=448 crop_height=448 flip=0 angle=0 saturation = 1.5 exposure = 1.5 [convolutional] filters=16 size=7 stride=2 pad=1 activation=leaky [maxpool] size=4 stride=4 [convolutional] filters=4 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=4 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=8 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] filters=8 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=8 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=16 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] filters=32 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] filters=64 size=3 stride=1 pad=1 activation=leaky [maxpool] size=4 stride=4 [connected] output=256 activation=linear [connected] output=4096 activation=leaky [dropout] probability=.5 [connected] output= 539 activation=linear [detection] classes=1 coords=4 rescore=1 side=7 num=2 softmax=0 sqrt=1 jitter=.2 object_scale=1 noobject_scale=.5 class_scale=1 coord_scale=5