name: "asphalt_DL" layer { name: "asphalt" type: "Data" top: "data" top: "label" include { phase: TRAIN } transform_param { mean_file: "mean.binaryproto" } data_param { source: "train_lmdb" batch_size: 50 backend: LMDB } } layer { name: "asphalt" type: "Data" top: "data" top: "label" include { phase: TEST } transform_param { mean_file: "mean.binaryproto" } data_param { source: "val_lmdb" batch_size: 50 backend: LMDB } } layer { name: "conv1" type: "Convolution" bottom: "data" top: "conv1" param { lr_mult: 1 } param { lr_mult: 2 } convolution_param { num_output: 32 kernel_size: 7 stride: 2 weight_filler { type: "xavier" std: 0.0001 } bias_filler { type: "constant" } } } layer { name: "pool1" type: "Pooling" bottom: "conv1" top: "pool1" pooling_param { pool: MAX kernel_size: 3 stride: 2 } } layer { name: "relu1" type: "ReLU" bottom: "pool1" top: "pool1" } layer { name: "norm1" type: "LRN" bottom: "pool1" top: "norm1" lrn_param { local_size: 3 alpha: 5e-05 beta: 0.75 norm_region: WITHIN_CHANNEL } } layer { name: "conv2" type: "Convolution" bottom: "norm1" top: "conv2" param { lr_mult: 1 } param { lr_mult: 2 } convolution_param { num_output: 64 kernel_size: 5 stride: 2 weight_filler { type: "xavier" std: 0.01 } bias_filler { type: "constant" } } } layer { name: "relu2" type: "ReLU" bottom: "conv2" top: "conv2" } layer { name: "pool2" type: "Pooling" bottom: "conv2" top: "pool2" pooling_param { pool: AVE kernel_size: 3 stride: 2 } } layer { name: "norm2" type: "LRN" bottom: "pool2" top: "norm2" lrn_param { local_size: 3 alpha: 5e-05 beta: 0.75 norm_region: WITHIN_CHANNEL } } layer { name: "conv3" type: "Convolution" bottom: "norm2" top: "conv3" param { lr_mult: 1 } param { lr_mult: 2 } convolution_param { num_output: 64 kernel_size: 5 stride: 1 weight_filler { type: "xavier" std: 0.01 } bias_filler { type: "constant" } } } layer { name: "relu3" type: "ReLU" bottom: "conv3" top: "conv3" } layer { name: "pool3" type: "Pooling" bottom: "conv3" top: "pool3" pooling_param { pool: AVE kernel_size: 3 stride: 2 } } layer { name: "norm3" type: "LRN" bottom: "pool3" top: "norm3" lrn_param { local_size: 3 alpha: 5e-05 beta: 0.75 norm_region: WITHIN_CHANNEL } } layer { name: "conv4" type: "Convolution" bottom: "norm3" top: "conv4" param { lr_mult: 1 } param { lr_mult: 2 } convolution_param { num_output: 128 kernel_size: 3 stride: 1 weight_filler { type: "xavier" std: 0.01 } bias_filler { type: "constant" } } } layer { name: "relu4" type: "ReLU" bottom: "conv4" top: "conv4" } layer { name: "pool4" type: "Pooling" bottom: "conv4" top: "pool4" pooling_param { pool: AVE kernel_size: 3 stride: 2 } } layer { name: "ip1" type: "InnerProduct" bottom: "pool4" top: "ip1" param { lr_mult: 1 decay_mult: 250 } param { lr_mult: 2 decay_mult: 0 } inner_product_param { num_output: 200 weight_filler { type: "xavier" std: 0.01 } bias_filler { type: "constant" } } } layer { name: "relu5" type: "ReLU" bottom: "ip1" top: "ip1" } layer { name: "ip2" type: "InnerProduct" bottom: "ip1" top: "ip2" param { lr_mult: 1 decay_mult: 250 } param { lr_mult: 2 decay_mult: 0 } inner_product_param { num_output: 6 weight_filler { type: "xavier" std: 0.01 } bias_filler { type: "constant" } } } layer { name: "accuracy" type: "Accuracy" bottom: "ip2" bottom: "label" top: "accuracy" include { phase: TEST } } layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip2" bottom: "label" top: "loss" }