[net] # Training batch=100 subdivisions=2 label_smooth_eps=0.1 # Testing # batch=1 # subdivisions=1 height=320 width=320 channels=3 min_crop=320 max_crop=640 mosaic=1 cutmix=1 burn_in=2000 learning_rate=0.1 policy=poly power=4 max_batches=1200000 #max_batches=400000 momentum=0.9 decay=0.0005 angle=7 hue=.1 saturation=.75 exposure=.75 aspect=.75 [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=1600 size=1 stride=1 pad=1 activation=mish [avgpool] [convolutional] filters=1000 size=1 stride=1 pad=1 activation=linear [softmax] groups=1