[net] # Training - start training with darknet53.weights batch=120 subdivisions=20 # Testing #batch=1 #subdivisions=1 height=448 width=448 channels=3 min_crop=448 max_crop=512 burn_in=1000 learning_rate=0.1 policy=poly power=4 max_batches=100000 momentum=0.9 decay=0.0005 [convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=leaky # Downsample [convolutional] xnor=1 batch_normalize=1 filters=64 size=3 stride=2 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=32 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear # Downsample [convolutional] xnor=1 batch_normalize=1 filters=128 size=3 stride=2 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear # Downsample [convolutional] xnor=1 batch_normalize=1 filters=256 size=3 stride=2 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear # Downsample [convolutional] xnor=1 batch_normalize=1 filters=512 size=3 stride=2 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear # Downsample [convolutional] xnor=1 batch_normalize=1 filters=1024 size=3 stride=2 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=1024 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=1024 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=1024 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] xnor=1 batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=leaky [convolutional] xnor=1 batch_normalize=1 filters=1024 size=3 stride=1 pad=1 activation=leaky [shortcut] from=-3 activation=linear [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=leaky [avgpool] [convolutional] filters=1000 size=1 stride=1 pad=1 activation=linear [softmax] groups=1