[net] # Training # batch=128 # subdivisions=1 # Testing batch=1 subdivisions=1 height=256 width=256 channels=3 min_crop=128 max_crop=448 burn_in=1000 learning_rate=0.1 policy=poly power=4 max_batches=800000 momentum=0.9 decay=0.0005 angle=7 hue=.1 saturation=.75 exposure=.75 aspect=.75 [convolutional] batch_normalize=1 filters=64 size=7 stride=2 pad=1 activation=leaky [maxpool] size=2 stride=2 # Residual Block [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=linear [shortcut] activation=leaky from=-3 # Residual Block [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=linear [shortcut] activation=leaky from=-3 # Strided Residual Block [convolutional] batch_normalize=1 filters=128 size=3 stride=2 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=linear [shortcut] activation=leaky from=-3 # Residual Block [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=linear [shortcut] activation=leaky from=-3 # Strided Residual Block [convolutional] batch_normalize=1 filters=256 size=3 stride=2 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=linear [shortcut] activation=leaky from=-3 # Residual Block [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=linear [shortcut] activation=leaky from=-3 # Strided Residual Block [convolutional] batch_normalize=1 filters=512 size=3 stride=2 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=linear [shortcut] activation=leaky from=-3 # Residual Block [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=linear [shortcut] activation=leaky from=-3 [avgpool] [convolutional] filters=1000 size=1 stride=1 pad=1 activation=linear [softmax] groups=1