[net] # Training batch=128 subdivisions=4 label_smooth_eps=0.1 # Testing # batch=1 # subdivisions=1 height=256 width=256 channels=3 min_crop=128 max_crop=448 mosaic=1 cutmix=1 burn_in=1000 learning_rate=0.1 policy=poly power=4 max_batches=1200000 momentum=0.9 decay=0.0005 angle=7 hue=.1 saturation=.75 exposure=.75 aspect=.75 [convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=64 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=32 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-7 [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=128 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-10 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=256 size=3 stride=2 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 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-28 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=512 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-28 [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish # Downsample [convolutional] batch_normalize=1 filters=1024 size=3 stride=2 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [route] layers = -2 [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=mish [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=mish [route] layers = -1,-16 [convolutional] batch_normalize=1 filters=1024 size=1 stride=1 pad=1 activation=mish [avgpool] [convolutional] filters=1000 size=1 stride=1 pad=1 activation=linear [softmax] groups=1