[net] batch=128 subdivisions=8 height=256 width=256 channels=3 momentum=0.9 decay=0.0001 learning_rate=0.05 policy=poly power=4 max_batches=500000 [crop] crop_height=224 crop_width=224 flip=1 saturation=1 exposure=1 angle=0 ##### Conv 1 ##### [convolutional] batch_normalize=1 filters=64 size=7 stride=2 pad=1 activation=leaky [maxpool] size=3 stride=2 ##### Conv 2_x ##### [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=linear [route] layers=-4 [convolutional] batch_normalize=1 size=1 stride=1 pad=1 activation=linear filters=256 [shortcut] from = -3 activation=leaky [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky ##### Conv 3_x ##### [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=128 size=3 stride=2 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=linear [route] layers=-4 [convolutional] batch_normalize=1 size=1 stride=2 pad=1 activation=linear filters=512 [shortcut] from = -3 activation=leaky [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky ##### Conv 4_x ##### [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=3 stride=2 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=1024 size=1 stride=1 pad=1 activation=linear [route] layers=-4 [convolutional] batch_normalize=1 size=1 stride=2 pad=1 activation=linear filters=1024 [shortcut] from = -3 activation=leaky [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=1024 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=1024 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=1024 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=1024 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=1024 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky ##### Conv 5_x ##### [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=3 stride=2 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=2048 size=1 stride=1 pad=1 activation=linear [route] layers=-4 [convolutional] batch_normalize=1 size=1 stride=2 pad=1 activation=linear filters=2048 [shortcut] from = -3 activation=leaky [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=2048 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky [convolutional] batch_normalize=1 filters=512 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=2048 size=1 stride=1 pad=1 activation=linear [shortcut] from = -4 activation=leaky [avgpool] [connected] output=1000 activation=leaky [softmax] groups=1 [cost] type=sse