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yolov0825.prototxt
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layer {
name: "images"
type: "Input"
top: "images"
input_param {
shape {
dim: 1
dim: 3
dim: 640
dim: 640
}
}
}
layer {
name: "Conv_0"
type: "Convolution"
bottom: "images"
top: "131"
convolution_param {
num_output: 32
bias_term: true
group: 1
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 2
stride_w: 2
dilation: 1
}
}
layer {
name: "Relu_1"
type: "ReLU"
bottom: "131"
top: "132"
}
layer {
name: "Conv_2"
type: "Convolution"
bottom: "132"
top: "133"
convolution_param {
num_output: 64
bias_term: true
group: 1
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 2
stride_w: 2
dilation: 1
}
}
layer {
name: "Relu_3"
type: "ReLU"
bottom: "133"
top: "134"
}
layer {
name: "Conv_4"
type: "Convolution"
bottom: "134"
top: "135"
convolution_param {
num_output: 32
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: "Relu_5"
type: "ReLU"
bottom: "135"
top: "136"
}
layer {
name: "Conv_6"
type: "Convolution"
bottom: "136"
top: "137"
convolution_param {
num_output: 32
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: "Relu_7"
type: "ReLU"
bottom: "137"
top: "138"
}
layer {
name: "Conv_8"
type: "Convolution"
bottom: "138"
top: "139"
convolution_param {
num_output: 32
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: "Relu_9"
type: "ReLU"
bottom: "139"
top: "140"
}
layer {
name: "Add_10"
type: "Eltwise"
bottom: "136"
bottom: "140"
top: "141"
eltwise_param {
operation: SUM
}
}
layer {
name: "Conv_11"
type: "Convolution"
bottom: "134"
top: "142"
convolution_param {
num_output: 32
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: "Relu_12"
type: "ReLU"
bottom: "142"
top: "143"
}
layer {
name: "Concat_13"
type: "Concat"
bottom: "141"
bottom: "143"
top: "144"
concat_param {
axis: 1
}
}
layer {
name: "Conv_14"
type: "Convolution"
bottom: "144"
top: "145"
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: "Relu_15"
type: "ReLU"
bottom: "145"
top: "146"
}
layer {
name: "Conv_16"
type: "Convolution"
bottom: "146"
top: "147"
convolution_param {
num_output: 128
bias_term: true
group: 1
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 2
stride_w: 2
dilation: 1
}
}
layer {
name: "Relu_17"
type: "ReLU"
bottom: "147"
top: "148"
}
layer {
name: "Conv_18"
type: "Convolution"
bottom: "148"
top: "149"
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: "Relu_19"
type: "ReLU"
bottom: "149"
top: "150"
}
layer {
name: "Conv_20"
type: "Convolution"
bottom: "150"
top: "151"
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: "Relu_21"
type: "ReLU"
bottom: "151"
top: "152"
}
layer {
name: "Conv_22"
type: "Convolution"
bottom: "152"
top: "153"
convolution_param {
num_output: 64
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: "Relu_23"
type: "ReLU"
bottom: "153"
top: "154"
}
layer {
name: "Add_24"
type: "Eltwise"
bottom: "150"
bottom: "154"
top: "155"
eltwise_param {
operation: SUM
}
}
layer {
name: "Conv_25"
type: "Convolution"
bottom: "155"
top: "156"
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: "Relu_26"
type: "ReLU"
bottom: "156"
top: "157"
}
layer {
name: "Conv_27"
type: "Convolution"
bottom: "157"
top: "158"
convolution_param {
num_output: 64
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: "Relu_28"
type: "ReLU"
bottom: "158"
top: "159"
}
layer {
name: "Add_29"
type: "Eltwise"
bottom: "155"
bottom: "159"
top: "160"
eltwise_param {
operation: SUM
}
}
layer {
name: "Conv_30"
type: "Convolution"
bottom: "160"
top: "161"
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: "Relu_31"
type: "ReLU"
bottom: "161"
top: "162"
}
layer {
name: "Conv_32"
type: "Convolution"
bottom: "162"
top: "163"
convolution_param {
num_output: 64
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: "Relu_33"
type: "ReLU"
bottom: "163"
top: "164"
}
layer {
name: "Add_34"
type: "Eltwise"
bottom: "160"
bottom: "164"
top: "165"
eltwise_param {
operation: SUM
}
}
layer {
name: "Conv_35"
type: "Convolution"
bottom: "148"
top: "166"
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: "Relu_36"
type: "ReLU"
bottom: "166"
top: "167"
}
layer {
name: "Concat_37"
type: "Concat"
bottom: "165"
bottom: "167"
top: "168"
concat_param {
axis: 1
}
}
layer {
name: "Conv_38"
type: "Convolution"
bottom: "168"
top: "169"
convolution_param {
num_output: 128
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: "Relu_39"
type: "ReLU"
bottom: "169"
top: "170"
}
layer {
name: "Conv_40"
type: "Convolution"
bottom: "170"
top: "171"
convolution_param {
num_output: 256
bias_term: true
group: 1
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 2
stride_w: 2
dilation: 1
}
}
layer {
name: "Relu_41"
type: "ReLU"
bottom: "171"
top: "172"
}
layer {
name: "Conv_42"
type: "Convolution"
bottom: "172"
top: "173"
convolution_param {
num_output: 128
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: "Relu_43"
type: "ReLU"
bottom: "173"
top: "174"
}
layer {
name: "Conv_44"
type: "Convolution"
bottom: "174"
top: "175"
convolution_param {
num_output: 128
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: "Relu_45"
type: "ReLU"
bottom: "175"
top: "176"
}
layer {
name: "Conv_46"
type: "Convolution"
bottom: "176"
top: "177"
convolution_param {
num_output: 128
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: "Relu_47"
type: "ReLU"
bottom: "177"
top: "178"
}
layer {
name: "Add_48"
type: "Eltwise"
bottom: "174"
bottom: "178"
top: "179"
eltwise_param {
operation: SUM
}
}
layer {
name: "Conv_49"
type: "Convolution"
bottom: "179"
top: "180"
convolution_param {
num_output: 128
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: "Relu_50"
type: "ReLU"
bottom: "180"
top: "181"
}
layer {
name: "Conv_51"
type: "Convolution"
bottom: "181"
top: "182"
convolution_param {
num_output: 128
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: "Relu_52"
type: "ReLU"
bottom: "182"
top: "183"
}
layer {
name: "Add_53"
type: "Eltwise"
bottom: "179"
bottom: "183"
top: "184"
eltwise_param {
operation: SUM
}
}
layer {
name: "Conv_54"
type: "Convolution"
bottom: "184"
top: "185"
convolution_param {
num_output: 128
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: "Relu_55"
type: "ReLU"
bottom: "185"
top: "186"
}
layer {
name: "Conv_56"
type: "Convolution"
bottom: "186"
top: "187"
convolution_param {
num_output: 128
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: "Relu_57"
type: "ReLU"
bottom: "187"
top: "188"
}
layer {
name: "Add_58"
type: "Eltwise"
bottom: "184"
bottom: "188"
top: "189"
eltwise_param {
operation: SUM
}
}
layer {
name: "Conv_59"
type: "Convolution"
bottom: "172"
top: "190"
convolution_param {
num_output: 128
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: "Relu_60"
type: "ReLU"
bottom: "190"
top: "191"
}
layer {
name: "Concat_61"
type: "Concat"
bottom: "189"
bottom: "191"
top: "192"
concat_param {
axis: 1
}
}
layer {
name: "Conv_62"
type: "Convolution"
bottom: "192"
top: "193"
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: "Relu_63"
type: "ReLU"
bottom: "193"
top: "194"
}
layer {
name: "Conv_64"
type: "Convolution"
bottom: "194"
top: "195"
convolution_param {
num_output: 512
bias_term: true
group: 1
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 2
stride_w: 2
dilation: 1
}
}
layer {
name: "Relu_65"
type: "ReLU"
bottom: "195"
top: "196"
}
layer {
name: "Conv_66"
type: "Convolution"
bottom: "196"
top: "197"
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: "Relu_67"
type: "ReLU"
bottom: "197"
top: "198"
}
layer {
name: "MaxPool_68"
type: "Pooling"
bottom: "198"
top: "199"
pooling_param {
pool: MAX
kernel_h: 5
kernel_w: 5
stride_h: 1
stride_w: 1
pad_h: 2
pad_w: 2
}
}
layer {
name: "MaxPool_69"
type: "Pooling"
bottom: "198"
top: "200"
pooling_param {
pool: MAX
kernel_h: 9
kernel_w: 9
stride_h: 1
stride_w: 1
pad_h: 4
pad_w: 4
}
}
layer {
name: "MaxPool_70"
type: "Pooling"
bottom: "198"
top: "201"
pooling_param {
pool: MAX
kernel_h: 13
kernel_w: 13
stride_h: 1
stride_w: 1
pad_h: 6
pad_w: 6
}
}
layer {
name: "Concat_71"
type: "Concat"
bottom: "198"
bottom: "199"
bottom: "200"
bottom: "201"
top: "202"
concat_param {
axis: 1
}
}
layer {
name: "Conv_72"
type: "Convolution"
bottom: "202"
top: "203"
convolution_param {
num_output: 512
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: "Relu_73"
type: "ReLU"
bottom: "203"
top: "204"
}
layer {
name: "Conv_74"
type: "Convolution"
bottom: "204"
top: "205"
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: "Relu_75"
type: "ReLU"
bottom: "205"
top: "206"
}
layer {
name: "Conv_76"
type: "Convolution"
bottom: "206"
top: "207"
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: "Relu_77"
type: "ReLU"
bottom: "207"
top: "208"
}
layer {
name: "Conv_78"
type: "Convolution"
bottom: "208"
top: "209"
convolution_param {
num_output: 256
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: "Relu_79"
type: "ReLU"
bottom: "209"
top: "210"
}
layer {
name: "Conv_80"
type: "Convolution"
bottom: "204"
top: "211"
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: "Relu_81"
type: "ReLU"
bottom: "211"
top: "212"
}
layer {
name: "Concat_82"
type: "Concat"
bottom: "210"
bottom: "212"
top: "213"
concat_param {
axis: 1
}
}
layer {
name: "Conv_83"
type: "Convolution"
bottom: "213"