[net] # Testing #batch=1 #subdivisions=1 # Training batch=64 subdivisions=8 width=1536 height=1536 channels=3 momentum=0.949 decay=0.0005 angle=0 saturation = 1.5 exposure = 1.5 hue=.1 learning_rate=0.001 burn_in=1000 max_batches = 500500 steps=400000,450000 #max_batches = 770500 #steps=700000,750000 policy=steps scales=.1,.1 mosaic=1 letter_box=1 ### Start of Backbone ### [convolutional] batch_normalize=1 filters=80 size=3 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=80 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=40 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=80 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear # Downsample [convolutional] batch_normalize=1 filters=160 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=80 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=80 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=80 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=80 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=80 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=80 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=80 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=80 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=80 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-13 [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=320 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=160 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=160 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-49 [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=640 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-49 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=1280 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-25 [convolutional] batch_normalize=1 filters=1280 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=1280 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-25 [convolutional] batch_normalize=1 filters=1280 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=1280 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-25 [convolutional] batch_normalize=1 filters=1280 size=1 stride=1 pad=1 activation=mish ### End of backbone ### ### Start of CSPSPP ### [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [maxpool] stride=1 size=5 [route] layers=-2 [maxpool] stride=1 size=9 [route] layers=-4 [maxpool] stride=1 size=13 [route] layers=-1,-3,-5,-6 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [route] layers = -1, -13 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish ### End of CSPSPP ### ### Start of CSPPAN ### [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [upsample] stride=2 [route] layers = 180 ###P6 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -1, -3 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [route] layers = -1, -8 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [upsample] stride=2 [route] layers = 152 ###P5 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -1, -3 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [route] layers = -1, -8 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [upsample] stride=2 [route] layers = 124 ###P4 [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [route] layers = -1, -3 [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=320 activation=mish [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=320 activation=mish [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=320 activation=mish [route] layers = -1, -8 [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [upsample] stride=2 [route] layers = 72 ###P3 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [route] layers = -1, -3 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=128 activation=mish [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=128 activation=mish [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=128 activation=mish [route] layers = -1, -8 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=2 pad=1 filters=320 activation=mish [route] layers = -1, 271 ###S4 [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=320 activation=mish [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=320 activation=mish [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=320 activation=mish [route] layers = -1, -8 [convolutional] batch_normalize=1 filters=320 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=2 pad=1 filters=640 activation=mish [route] layers = -1, 255 ###S5 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [route] layers = -1, -8 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=2 pad=1 filters=640 activation=mish [route] layers = -1, 239 ###S6 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [route] layers = -1, -8 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=2 pad=1 filters=640 activation=mish [route] layers = -1, 223 ###S7 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 size=3 stride=1 pad=1 filters=640 activation=mish [route] layers = -1, -8 [convolutional] batch_normalize=1 filters=640 size=1 stride=1 pad=1 activation=mish ### End of CSPPAN ### ### Start of YOLO ### [route] layers = 287 ### [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=320 activation=mish [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=320 activation=logistic [sam] from=-2 [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=320 activation=mish [convolutional] size=1 stride=1 pad=1 filters=340 activation=logistic [yolo] mask = 0,1,2,3 anchors = 13,17, 22,25, 27,66, 55,41, 57,88, 112,69, 69,177, 136,138, 136,138, 287,114, 134,275, 268,248, 268,248, 232,504, 445,416, 640,640, 812,393, 477,808, 1070,908, 1408,1408 classes=80 num=16 ignore_thresh = .7 truth_thresh = 1 #random=1 resize=1.5 scale_x_y = 2.0 jitter=.1 objectness_smooth=1 iou_thresh=0.2 iou_normalizer=0.05 cls_normalizer=0.5 obj_normalizer=4.0 iou_loss=ciou nms_kind=diounms beta_nms=0.6 max_delta=40 new_coords=1 [route] layers = 300 ### [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=640 activation=mish [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=640 activation=logistic [sam] from=-2 [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=640 activation=mish [convolutional] size=1 stride=1 pad=1 filters=340 activation=logistic [yolo] mask = 4,5,6,7 anchors = 13,17, 22,25, 27,66, 55,41, 57,88, 112,69, 69,177, 136,138, 136,138, 287,114, 134,275, 268,248, 268,248, 232,504, 445,416, 640,640, 812,393, 477,808, 1070,908, 1408,1408 classes=80 num=16 ignore_thresh = .7 truth_thresh = 1 #random=1 resize=1.5 scale_x_y = 2.0 jitter=.1 objectness_smooth=1 iou_thresh=0.2 iou_normalizer=0.05 cls_normalizer=0.5 obj_normalizer=1.0 iou_loss=ciou nms_kind=diounms beta_nms=0.6 max_delta=40 new_coords=1 [route] layers = 313 ### [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=1280 activation=mish [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=1280 activation=logistic [sam] from=-2 [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=1280 activation=mish [convolutional] size=1 stride=1 pad=1 filters=340 activation=logistic [yolo] mask = 8,9,10,11 anchors = 13,17, 22,25, 27,66, 55,41, 57,88, 112,69, 69,177, 136,138, 136,138, 287,114, 134,275, 268,248, 268,248, 232,504, 445,416, 640,640, 812,393, 477,808, 1070,908, 1408,1408 classes=80 num=16 ignore_thresh = .7 truth_thresh = 1 #random=1 resize=1.5 scale_x_y = 2.0 jitter=.1 objectness_smooth=1 iou_thresh=0.2 iou_normalizer=0.05 cls_normalizer=0.5 obj_normalizer=0.5 iou_loss=ciou nms_kind=diounms beta_nms=0.6 max_delta=40 new_coords=1 [route] layers = 326 ### [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=1280 activation=mish [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=1280 activation=logistic [sam] from=-2 [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=1280 activation=mish [convolutional] size=1 stride=1 pad=1 filters=340 activation=logistic [yolo] mask = 12,13,14,15 anchors = 13,17, 22,25, 27,66, 55,41, 57,88, 112,69, 69,177, 136,138, 136,138, 287,114, 134,275, 268,248, 268,248, 232,504, 445,416, 640,640, 812,393, 477,808, 1070,908, 1408,1408 classes=80 num=16 ignore_thresh = .7 truth_thresh = 1 #random=1 resize=1.5 scale_x_y = 2.0 jitter=.1 objectness_smooth=1 iou_thresh=0.2 iou_normalizer=0.05 cls_normalizer=0.5 obj_normalizer=0.4 iou_loss=ciou nms_kind=diounms beta_nms=0.6 max_delta=40 new_coords=1 [route] layers = 339 ### [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=1280 activation=mish [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=1280 activation=logistic [sam] from=-2 [convolutional] batch_normalize=1 size=1 stride=1 pad=1 filters=1280 activation=mish [convolutional] size=1 stride=1 pad=1 filters=340 activation=logistic [yolo] mask = 16,17,18,19 anchors = 13,17, 22,25, 27,66, 55,41, 57,88, 112,69, 69,177, 136,138, 136,138, 287,114, 134,275, 268,248, 268,248, 232,504, 445,416, 640,640, 812,393, 477,808, 1070,908, 1408,1408 classes=80 num=16 ignore_thresh = .7 truth_thresh = 1 #random=1 resize=1.5 scale_x_y = 2.0 jitter=.1 objectness_smooth=1 iou_thresh=0.2 iou_normalizer=0.05 cls_normalizer=0.5 obj_normalizer=0.1 iou_loss=ciou nms_kind=diounms beta_nms=0.6 max_delta=40 new_coords=1 ### End of YOLO ###