[net] batch=64 subdivisions=64 height=448 width=448 channels=3 momentum=0.9 decay=0.0005 learning_rate=0.001 policy=steps steps=200,400,600,20000,30000 scales=2.5,2,2,.1,.1 max_batches = 40000 [crop] crop_width=448 crop_height=448 flip=0 angle=0 saturation = 1.5 exposure = 1.5 [convolutional] filters=64 size=7 stride=2 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] filters=192 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=256 size=3 stride=1 pad=1 activation=leaky [convolutional] filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=512 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=512 size=3 stride=1 pad=1 activation=leaky [convolutional] filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=512 size=3 stride=1 pad=1 activation=leaky [convolutional] filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=512 size=3 stride=1 pad=1 activation=leaky [convolutional] filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=512 size=3 stride=1 pad=1 activation=leaky [convolutional] filters=512 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=1024 size=3 stride=1 pad=1 activation=leaky [maxpool] size=2 stride=2 [convolutional] filters=512 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=1024 size=3 stride=1 pad=1 activation=leaky [convolutional] filters=512 size=1 stride=1 pad=1 activation=leaky [convolutional] filters=1024 size=3 stride=1 pad=1 activation=leaky ####### [convolutional] size=3 stride=1 pad=1 filters=1024 activation=leaky [convolutional] size=3 stride=2 pad=1 filters=1024 activation=leaky [convolutional] size=3 stride=1 pad=1 filters=1024 activation=leaky [convolutional] size=3 stride=1 pad=1 filters=1024 activation=leaky [connected] output=512 activation=leaky [connected] output=4096 activation=leaky [dropout] probability=.5 [connected] output= 1470 activation=linear [detection] classes=20 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