[net] batch=120 subdivisions=20 height=224 width=224 channels=3 momentum=0.9 decay=0.0005 max_crop=256 learning_rate=0.01 policy=poly power=4 max_batches=600000 angle=7 hue=.1 saturation=.75 exposure=.75 aspect=.75 # conv1 [convolutional] filters=32 size=3 pad=1 stride=2 batch_normalize=1 activation=relu # conv2_1_expand [convolutional] filters=32 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv2_1_dwise [convolutional] groups=32 filters=32 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv2_1_linear [convolutional] filters=16 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # conv2_2_expand [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv2_2_dwise [convolutional] groups=96 filters=96 size=3 pad=1 stride=2 batch_normalize=1 activation=relu # conv2_2_linear [convolutional] filters=24 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # conv3_1_expand [convolutional] filters=144 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv3_1_dwise [convolutional] groups=144 filters=144 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv3_1_linear [convolutional] filters=24 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # block_3_1 [shortcut] from=-4 activation=linear # conv_3_2_expand [convolutional] filters=144 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_3_2_dwise [convolutional] groups=144 filters=144 size=3 pad=1 stride=2 batch_normalize=1 activation=relu # conv_3_2_linear [convolutional] filters=32 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # conv_4_1_expand [convolutional] filters=192 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_4_1_dwise [convolutional] groups=192 filters=192 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv_4_1_linear [convolutional] filters=32 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # block_4_1 [shortcut] from=-4 activation=linear # conv_4_2_expand [convolutional] filters=192 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_4_2_dwise [convolutional] groups=192 filters=192 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv_4_2_linear [convolutional] filters=32 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # block_4_2 [shortcut] from=-4 activation=linear # conv_4_3_expand [convolutional] filters=192 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_4_3_dwise [convolutional] groups=192 filters=192 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv_4_3_linear [convolutional] filters=64 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # conv_4_4_expand [convolutional] filters=384 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_4_4_dwise [convolutional] groups=384 filters=384 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv_4_4_linear [convolutional] filters=64 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # block_4_4 [shortcut] from=-4 activation=linear # conv_4_5_expand [convolutional] filters=384 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_4_5_dwise [convolutional] groups=384 filters=384 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv_4_5_linear [convolutional] filters=64 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # block_4_5 [shortcut] from=-4 activation=linear # conv_4_6_expand [convolutional] filters=384 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_4_6_dwise [convolutional] groups=384 filters=384 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv_4_6_linear [convolutional] filters=64 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # block_4_6 [shortcut] from=-4 activation=linear # conv_4_7_expand [convolutional] filters=384 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_4_7_dwise [convolutional] groups=384 filters=384 size=3 pad=1 stride=2 batch_normalize=1 activation=relu # conv_4_7_linear [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # conv_5_1_expand [convolutional] filters=576 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_5_1_dwise [convolutional] groups=576 filters=576 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv_5_1_linear [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # block_5_1 [shortcut] from=-4 activation=linear # conv_5_2_expand [convolutional] filters=576 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_5_2_dwise [convolutional] groups=576 filters=576 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv_5_2_linear [convolutional] filters=96 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # block_5_2 [shortcut] from=-4 activation=linear # conv_5_3_expand [convolutional] filters=576 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_5_3_dwise [convolutional] groups=576 filters=576 size=3 pad=1 stride=2 batch_normalize=1 activation=relu # conv_5_3_linear [convolutional] filters=160 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # conv_6_1_expand [convolutional] filters=960 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_6_1_dwise [convolutional] groups=960 filters=960 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv_6_1_linear [convolutional] filters=160 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # block_6_1 [shortcut] from=-4 activation=linear # conv_6_2_expand [convolutional] filters=960 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_6_2_dwise [convolutional] groups=960 filters=960 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv_6_2_linear [convolutional] filters=160 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # block_6_2 [shortcut] from=-4 activation=linear # conv_6_3_expand [convolutional] filters=960 size=1 stride=1 pad=0 batch_normalize=1 activation=relu # conv_6_3_dwise [convolutional] groups=960 filters=960 size=3 stride=1 pad=1 batch_normalize=1 activation=relu # conv_6_3_linear [convolutional] filters=320 size=1 stride=1 pad=0 batch_normalize=1 activation=linear # conv_6_4 [convolutional] filters=1280 size=1 stride=1 pad=0 batch_normalize=1 activation=relu [avgpool] [convolutional] filters=1000 size=1 stride=1 pad=0 activation=linear [softmax] groups=1 [cost] type=sse