layer { name: "input" type: "Input" top: "input" input_param { shape { dim: 1 dim: 3 dim: 480 dim: 640 } } } layer { name: "245" type: "Convolution" bottom: "input" top: "245" convolution_param { num_output: 16 bias_term: false group: 1 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 2 stride_w: 2 dilation: 1 } } layer { name: "246_bn" type: "BatchNorm" bottom: "245" top: "246" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "246" type: "Scale" bottom: "246" top: "246" scale_param { bias_term: true } } layer { name: "247" type: "ReLU" bottom: "246" top: "247" } layer { name: "248" type: "Convolution" bottom: "247" top: "248" convolution_param { num_output: 16 bias_term: false group: 16 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "249_bn" type: "BatchNorm" bottom: "248" top: "249" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "249" type: "Scale" bottom: "249" top: "249" scale_param { bias_term: true } } layer { name: "250" type: "ReLU" bottom: "249" top: "250" } layer { name: "251" type: "Convolution" bottom: "250" top: "251" convolution_param { num_output: 32 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "252_bn" type: "BatchNorm" bottom: "251" top: "252" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "252" type: "Scale" bottom: "252" top: "252" scale_param { bias_term: true } } layer { name: "253" type: "ReLU" bottom: "252" top: "253" } layer { name: "254" type: "Convolution" bottom: "253" top: "254" convolution_param { num_output: 32 bias_term: false group: 32 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 2 stride_w: 2 dilation: 1 } } layer { name: "255_bn" type: "BatchNorm" bottom: "254" top: "255" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "255" type: "Scale" bottom: "255" top: "255" scale_param { bias_term: true } } layer { name: "256" type: "ReLU" bottom: "255" top: "256" } layer { name: "257" type: "Convolution" bottom: "256" top: "257" convolution_param { num_output: 32 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "258_bn" type: "BatchNorm" bottom: "257" top: "258" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "258" type: "Scale" bottom: "258" top: "258" scale_param { bias_term: true } } layer { name: "259" type: "ReLU" bottom: "258" top: "259" } layer { name: "260" type: "Convolution" bottom: "259" top: "260" convolution_param { num_output: 32 bias_term: false group: 32 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "261_bn" type: "BatchNorm" bottom: "260" top: "261" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "261" type: "Scale" bottom: "261" top: "261" scale_param { bias_term: true } } layer { name: "262" type: "ReLU" bottom: "261" top: "262" } layer { name: "263" type: "Convolution" bottom: "262" top: "263" convolution_param { num_output: 32 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "264_bn" type: "BatchNorm" bottom: "263" top: "264" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "264" type: "Scale" bottom: "264" top: "264" scale_param { bias_term: true } } layer { name: "265" type: "ReLU" bottom: "264" top: "265" } layer { name: "266" type: "Convolution" bottom: "265" top: "266" convolution_param { num_output: 32 bias_term: false group: 32 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 2 stride_w: 2 dilation: 1 } } layer { name: "267_bn" type: "BatchNorm" bottom: "266" top: "267" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "267" type: "Scale" bottom: "267" top: "267" scale_param { bias_term: true } } layer { name: "268" type: "ReLU" bottom: "267" top: "268" } layer { name: "269" type: "Convolution" bottom: "268" top: "269" convolution_param { num_output: 64 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "270_bn" type: "BatchNorm" bottom: "269" top: "270" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "270" type: "Scale" bottom: "270" top: "270" scale_param { bias_term: true } } layer { name: "271" type: "ReLU" bottom: "270" top: "271" } layer { name: "272" type: "Convolution" bottom: "271" top: "272" convolution_param { num_output: 64 bias_term: false group: 64 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "273_bn" type: "BatchNorm" bottom: "272" top: "273" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "273" type: "Scale" bottom: "273" top: "273" scale_param { bias_term: true } } layer { name: "274" type: "ReLU" bottom: "273" top: "274" } layer { name: "275" type: "Convolution" bottom: "274" top: "275" convolution_param { num_output: 64 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "276_bn" type: "BatchNorm" bottom: "275" top: "276" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "276" type: "Scale" bottom: "276" top: "276" scale_param { bias_term: true } } layer { name: "277" type: "ReLU" bottom: "276" top: "277" } layer { name: "278" type: "Convolution" bottom: "277" top: "278" convolution_param { num_output: 64 bias_term: false group: 64 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "279_bn" type: "BatchNorm" bottom: "278" top: "279" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "279" type: "Scale" bottom: "279" top: "279" scale_param { bias_term: true } } layer { name: "280" type: "ReLU" bottom: "279" top: "280" } layer { name: "281" type: "Convolution" bottom: "280" top: "281" convolution_param { num_output: 64 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "282_bn" type: "BatchNorm" bottom: "281" top: "282" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "282" type: "Scale" bottom: "282" top: "282" scale_param { bias_term: true } } layer { name: "283" type: "ReLU" bottom: "282" top: "283" } layer { name: "284" type: "Convolution" bottom: "283" top: "284" convolution_param { num_output: 8 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "285_bn" type: "BatchNorm" bottom: "284" top: "285" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "285" type: "Scale" bottom: "285" top: "285" scale_param { bias_term: true } } layer { name: "286" type: "Convolution" bottom: "285" top: "286" convolution_param { num_output: 16 bias_term: false group: 1 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "287_bn" type: "BatchNorm" bottom: "286" top: "287" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "287" type: "Scale" bottom: "287" top: "287" scale_param { bias_term: true } } layer { name: "288" type: "ReLU" bottom: "287" top: "288" } layer { name: "289" type: "Convolution" bottom: "288" top: "289" convolution_param { num_output: 16 bias_term: false group: 1 pad_h: 2 pad_w: 2 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 2 } } layer { name: "290_bn" type: "BatchNorm" bottom: "289" top: "290" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "290" type: "Scale" bottom: "290" top: "290" scale_param { bias_term: true } } layer { name: "291" type: "Convolution" bottom: "283" top: "291" convolution_param { num_output: 8 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "292_bn" type: "BatchNorm" bottom: "291" top: "292" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "292" type: "Scale" bottom: "292" top: "292" scale_param { bias_term: true } } layer { name: "293" type: "Convolution" bottom: "292" top: "293" convolution_param { num_output: 16 bias_term: false group: 1 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "294_bn" type: "BatchNorm" bottom: "293" top: "294" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "294" type: "Scale" bottom: "294" top: "294" scale_param { bias_term: true } } layer { name: "295" type: "ReLU" bottom: "294" top: "295" } layer { name: "296" type: "Convolution" bottom: "295" top: "296" convolution_param { num_output: 16 bias_term: false group: 1 pad_h: 3 pad_w: 3 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 3 } } layer { name: "297_bn" type: "BatchNorm" bottom: "296" top: "297" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "297" type: "Scale" bottom: "297" top: "297" scale_param { bias_term: true } } layer { name: "298" type: "Convolution" bottom: "283" top: "298" convolution_param { num_output: 8 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "299_bn" type: "BatchNorm" bottom: "298" top: "299" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "299" type: "Scale" bottom: "299" top: "299" scale_param { bias_term: true } } layer { name: "300" type: "Convolution" bottom: "299" top: "300" convolution_param { num_output: 12 bias_term: false group: 1 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "301_bn" type: "BatchNorm" bottom: "300" top: "301" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "301" type: "Scale" bottom: "301" top: "301" scale_param { bias_term: true } } layer { name: "302" type: "ReLU" bottom: "301" top: "302" } layer { name: "303" type: "Convolution" bottom: "302" top: "303" convolution_param { num_output: 16 bias_term: false group: 1 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "304_bn" type: "BatchNorm" bottom: "303" top: "304" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "304" type: "Scale" bottom: "304" top: "304" scale_param { bias_term: true } } layer { name: "305" type: "ReLU" bottom: "304" top: "305" } layer { name: "306" type: "Convolution" bottom: "305" top: "306" convolution_param { num_output: 16 bias_term: false group: 1 pad_h: 5 pad_w: 5 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 5 } } layer { name: "307_bn" type: "BatchNorm" bottom: "306" top: "307" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "307" type: "Scale" bottom: "307" top: "307" scale_param { bias_term: true } } layer { name: "308" type: "Concat" bottom: "290" bottom: "297" bottom: "307" top: "308" concat_param { axis: 1 } } layer { name: "309" type: "Convolution" bottom: "308" top: "309" convolution_param { num_output: 64 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "310_bn" type: "BatchNorm" bottom: "309" top: "310" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "310" type: "Scale" bottom: "310" top: "310" scale_param { bias_term: true } } layer { name: "311" type: "Convolution" bottom: "283" top: "311" convolution_param { num_output: 64 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "312_bn" type: "BatchNorm" bottom: "311" top: "312" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "312" type: "Scale" bottom: "312" top: "312" scale_param { bias_term: true } } layer { name: "313" type: "Eltwise" bottom: "310" bottom: "312" top: "313" eltwise_param { operation: SUM } } layer { name: "314" type: "ReLU" bottom: "313" top: "314" } layer { name: "315" type: "Convolution" bottom: "314" top: "315" convolution_param { num_output: 64 bias_term: true group: 64 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "316" type: "ReLU" bottom: "315" top: "316" } layer { name: "scores" type: "Convolution" bottom: "316" top: "scores" convolution_param { num_output: 6 bias_term: true group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "318" type: "Convolution" bottom: "314" top: "318" convolution_param { num_output: 64 bias_term: true group: 64 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "319" type: "ReLU" bottom: "318" top: "319" } layer { name: "320" type: "Convolution" bottom: "319" top: "320" convolution_param { num_output: 12 bias_term: true group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "321" type: "Convolution" bottom: "314" top: "321" convolution_param { num_output: 64 bias_term: false group: 64 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 2 stride_w: 2 dilation: 1 } } layer { name: "322_bn" type: "BatchNorm" bottom: "321" top: "322" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "322" type: "Scale" bottom: "322" top: "322" scale_param { bias_term: true } } layer { name: "323" type: "ReLU" bottom: "322" top: "323" } layer { name: "324" type: "Convolution" bottom: "323" top: "324" convolution_param { num_output: 128 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "325_bn" type: "BatchNorm" bottom: "324" top: "325" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "325" type: "Scale" bottom: "325" top: "325" scale_param { bias_term: true } } layer { name: "326" type: "ReLU" bottom: "325" top: "326" } layer { name: "327" type: "Convolution" bottom: "326" top: "327" convolution_param { num_output: 128 bias_term: false group: 128 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "328_bn" type: "BatchNorm" bottom: "327" top: "328" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "328" type: "Scale" bottom: "328" top: "328" scale_param { bias_term: true } } layer { name: "329" type: "ReLU" bottom: "328" top: "329" } layer { name: "330" type: "Convolution" bottom: "329" top: "330" convolution_param { num_output: 128 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "331_bn" type: "BatchNorm" bottom: "330" top: "331" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "331" type: "Scale" bottom: "331" top: "331" scale_param { bias_term: true } } layer { name: "332" type: "ReLU" bottom: "331" top: "332" } layer { name: "333" type: "Convolution" bottom: "332" top: "333" convolution_param { num_output: 128 bias_term: false group: 128 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "334_bn" type: "BatchNorm" bottom: "333" top: "334" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "334" type: "Scale" bottom: "334" top: "334" scale_param { bias_term: true } } layer { name: "335" type: "ReLU" bottom: "334" top: "335" } layer { name: "336" type: "Convolution" bottom: "335" top: "336" convolution_param { num_output: 128 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "337_bn" type: "BatchNorm" bottom: "336" top: "337" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "337" type: "Scale" bottom: "337" top: "337" scale_param { bias_term: true } } layer { name: "338" type: "ReLU" bottom: "337" top: "338" } layer { name: "339" type: "Convolution" bottom: "338" top: "339" convolution_param { num_output: 128 bias_term: true group: 128 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "340" type: "ReLU" bottom: "339" top: "340" } layer { name: "boxes" type: "Convolution" bottom: "340" top: "boxes" convolution_param { num_output: 6 bias_term: true group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "342" type: "Convolution" bottom: "338" top: "342" convolution_param { num_output: 128 bias_term: true group: 128 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "343" type: "ReLU" bottom: "342" top: "343" } layer { name: "344" type: "Convolution" bottom: "343" top: "344" convolution_param { num_output: 12 bias_term: true group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "345" type: "Convolution" bottom: "338" top: "345" convolution_param { num_output: 128 bias_term: false group: 128 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 2 stride_w: 2 dilation: 1 } } layer { name: "346_bn" type: "BatchNorm" bottom: "345" top: "346" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "346" type: "Scale" bottom: "346" top: "346" scale_param { bias_term: true } } layer { name: "347" type: "ReLU" bottom: "346" top: "347" } layer { name: "348" type: "Convolution" bottom: "347" top: "348" convolution_param { num_output: 256 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "349_bn" type: "BatchNorm" bottom: "348" top: "349" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "349" type: "Scale" bottom: "349" top: "349" scale_param { bias_term: true } } layer { name: "350" type: "ReLU" bottom: "349" top: "350" } layer { name: "351" type: "Convolution" bottom: "350" top: "351" convolution_param { num_output: 256 bias_term: false group: 256 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "352_bn" type: "BatchNorm" bottom: "351" top: "352" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "352" type: "Scale" bottom: "352" top: "352" scale_param { bias_term: true } } layer { name: "353" type: "ReLU" bottom: "352" top: "353" } layer { name: "354" type: "Convolution" bottom: "353" top: "354" convolution_param { num_output: 256 bias_term: false group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "355_bn" type: "BatchNorm" bottom: "354" top: "355" batch_norm_param { use_global_stats: true eps: 9.999999747378752e-06 } } layer { name: "355" type: "Scale" bottom: "355" top: "355" scale_param { bias_term: true } } layer { name: "356" type: "ReLU" bottom: "355" top: "356" } layer { name: "357" type: "Convolution" bottom: "356" top: "357" convolution_param { num_output: 256 bias_term: true group: 256 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "358" type: "ReLU" bottom: "357" top: "358" } layer { name: "359" type: "Convolution" bottom: "358" top: "359" convolution_param { num_output: 6 bias_term: true group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "360" type: "Convolution" bottom: "356" top: "360" convolution_param { num_output: 256 bias_term: true group: 256 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "361" type: "ReLU" bottom: "360" top: "361" } layer { name: "362" type: "Convolution" bottom: "361" top: "362" convolution_param { num_output: 12 bias_term: true group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "363" type: "Convolution" bottom: "356" top: "363" convolution_param { num_output: 64 bias_term: true group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "364" type: "ReLU" bottom: "363" top: "364" } layer { name: "365" type: "Convolution" bottom: "364" top: "365" convolution_param { num_output: 64 bias_term: true group: 64 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 2 stride_w: 2 dilation: 1 } } layer { name: "366" type: "ReLU" bottom: "365" top: "366" } layer { name: "367" type: "Convolution" bottom: "366" top: "367" convolution_param { num_output: 256 bias_term: true group: 1 pad_h: 0 pad_w: 0 kernel_h: 1 kernel_w: 1 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "368" type: "ReLU" bottom: "367" top: "368" } layer { name: "369" type: "Convolution" bottom: "368" top: "369" convolution_param { num_output: 6 bias_term: true group: 1 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } } layer { name: "370" type: "Convolution" bottom: "368" top: "370" convolution_param { num_output: 12 bias_term: true group: 1 pad_h: 1 pad_w: 1 kernel_h: 3 kernel_w: 3 stride_h: 1 stride_w: 1 dilation: 1 } }