[net] # Testing # batch=1 # subdivisions=1 # Training batch=64 subdivisions=8 height=128 width=352 channels=3 momentum=0.9 decay=0.0005 angle=0 flip=0 saturation = 1.5 exposure = 1.5 hue=.1 learning_rate=0.0001 burn_in=1000 max_batches = 120000 policy=steps steps=100,96000,108000 scales=10,.1,.1 [convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=leaky [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 [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 [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [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] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [convolutional] size=1 stride=1 pad=1 filters=200 activation=linear [region] anchors = 0.7685,1.2664, 0.5706,1.8263, 0.9809,1.6286, 1.1587,1.9536, 1.3615,2.3898 bias_match=1 classes=35 coords=4 num=5 softmax=1 jitter=.2 rescore=1 object_scale=5 noobject_scale=1 class_scale=1 coord_scale=1 absolute=1 thresh = .6 random=1