Upload 2 files
Browse files- .gitattributes +1 -0
- age_deploy.prototxt +175 -0
- age_net.caffemodel +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
age_net.caffemodel filter=lfs diff=lfs merge=lfs -text
|
age_deploy.prototxt
ADDED
|
@@ -0,0 +1,175 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
name: "CaffeNet"
|
| 2 |
+
input: "data"
|
| 3 |
+
input_dim: 1
|
| 4 |
+
input_dim: 3
|
| 5 |
+
input_dim: 227
|
| 6 |
+
input_dim: 227
|
| 7 |
+
layers {
|
| 8 |
+
name: "conv1"
|
| 9 |
+
type: CONVOLUTION
|
| 10 |
+
bottom: "data"
|
| 11 |
+
top: "conv1"
|
| 12 |
+
convolution_param {
|
| 13 |
+
num_output: 96
|
| 14 |
+
kernel_size: 7
|
| 15 |
+
stride: 4
|
| 16 |
+
}
|
| 17 |
+
}
|
| 18 |
+
layers {
|
| 19 |
+
name: "relu1"
|
| 20 |
+
type: RELU
|
| 21 |
+
bottom: "conv1"
|
| 22 |
+
top: "conv1"
|
| 23 |
+
}
|
| 24 |
+
layers {
|
| 25 |
+
name: "pool1"
|
| 26 |
+
type: POOLING
|
| 27 |
+
bottom: "conv1"
|
| 28 |
+
top: "pool1"
|
| 29 |
+
pooling_param {
|
| 30 |
+
pool: MAX
|
| 31 |
+
kernel_size: 3
|
| 32 |
+
stride: 2
|
| 33 |
+
}
|
| 34 |
+
}
|
| 35 |
+
layers {
|
| 36 |
+
name: "norm1"
|
| 37 |
+
type: LRN
|
| 38 |
+
bottom: "pool1"
|
| 39 |
+
top: "norm1"
|
| 40 |
+
lrn_param {
|
| 41 |
+
local_size: 5
|
| 42 |
+
alpha: 0.0001
|
| 43 |
+
beta: 0.75
|
| 44 |
+
}
|
| 45 |
+
}
|
| 46 |
+
layers {
|
| 47 |
+
name: "conv2"
|
| 48 |
+
type: CONVOLUTION
|
| 49 |
+
bottom: "norm1"
|
| 50 |
+
top: "conv2"
|
| 51 |
+
convolution_param {
|
| 52 |
+
num_output: 256
|
| 53 |
+
pad: 2
|
| 54 |
+
kernel_size: 5
|
| 55 |
+
}
|
| 56 |
+
}
|
| 57 |
+
layers {
|
| 58 |
+
name: "relu2"
|
| 59 |
+
type: RELU
|
| 60 |
+
bottom: "conv2"
|
| 61 |
+
top: "conv2"
|
| 62 |
+
}
|
| 63 |
+
layers {
|
| 64 |
+
name: "pool2"
|
| 65 |
+
type: POOLING
|
| 66 |
+
bottom: "conv2"
|
| 67 |
+
top: "pool2"
|
| 68 |
+
pooling_param {
|
| 69 |
+
pool: MAX
|
| 70 |
+
kernel_size: 3
|
| 71 |
+
stride: 2
|
| 72 |
+
}
|
| 73 |
+
}
|
| 74 |
+
layers {
|
| 75 |
+
name: "norm2"
|
| 76 |
+
type: LRN
|
| 77 |
+
bottom: "pool2"
|
| 78 |
+
top: "norm2"
|
| 79 |
+
lrn_param {
|
| 80 |
+
local_size: 5
|
| 81 |
+
alpha: 0.0001
|
| 82 |
+
beta: 0.75
|
| 83 |
+
}
|
| 84 |
+
}
|
| 85 |
+
layers {
|
| 86 |
+
name: "conv3"
|
| 87 |
+
type: CONVOLUTION
|
| 88 |
+
bottom: "norm2"
|
| 89 |
+
top: "conv3"
|
| 90 |
+
convolution_param {
|
| 91 |
+
num_output: 384
|
| 92 |
+
pad: 1
|
| 93 |
+
kernel_size: 3
|
| 94 |
+
}
|
| 95 |
+
}
|
| 96 |
+
layers{
|
| 97 |
+
name: "relu3"
|
| 98 |
+
type: RELU
|
| 99 |
+
bottom: "conv3"
|
| 100 |
+
top: "conv3"
|
| 101 |
+
}
|
| 102 |
+
layers {
|
| 103 |
+
name: "pool5"
|
| 104 |
+
type: POOLING
|
| 105 |
+
bottom: "conv3"
|
| 106 |
+
top: "pool5"
|
| 107 |
+
pooling_param {
|
| 108 |
+
pool: MAX
|
| 109 |
+
kernel_size: 3
|
| 110 |
+
stride: 2
|
| 111 |
+
}
|
| 112 |
+
}
|
| 113 |
+
layers {
|
| 114 |
+
name: "fc6"
|
| 115 |
+
type: INNER_PRODUCT
|
| 116 |
+
bottom: "pool5"
|
| 117 |
+
top: "fc6"
|
| 118 |
+
inner_product_param {
|
| 119 |
+
num_output: 512
|
| 120 |
+
}
|
| 121 |
+
}
|
| 122 |
+
layers {
|
| 123 |
+
name: "relu6"
|
| 124 |
+
type: RELU
|
| 125 |
+
bottom: "fc6"
|
| 126 |
+
top: "fc6"
|
| 127 |
+
}
|
| 128 |
+
layers {
|
| 129 |
+
name: "drop6"
|
| 130 |
+
type: DROPOUT
|
| 131 |
+
bottom: "fc6"
|
| 132 |
+
top: "fc6"
|
| 133 |
+
dropout_param {
|
| 134 |
+
dropout_ratio: 0.5
|
| 135 |
+
}
|
| 136 |
+
}
|
| 137 |
+
layers {
|
| 138 |
+
name: "fc7"
|
| 139 |
+
type: INNER_PRODUCT
|
| 140 |
+
bottom: "fc6"
|
| 141 |
+
top: "fc7"
|
| 142 |
+
inner_product_param {
|
| 143 |
+
num_output: 512
|
| 144 |
+
}
|
| 145 |
+
}
|
| 146 |
+
layers {
|
| 147 |
+
name: "relu7"
|
| 148 |
+
type: RELU
|
| 149 |
+
bottom: "fc7"
|
| 150 |
+
top: "fc7"
|
| 151 |
+
}
|
| 152 |
+
layers {
|
| 153 |
+
name: "drop7"
|
| 154 |
+
type: DROPOUT
|
| 155 |
+
bottom: "fc7"
|
| 156 |
+
top: "fc7"
|
| 157 |
+
dropout_param {
|
| 158 |
+
dropout_ratio: 0.5
|
| 159 |
+
}
|
| 160 |
+
}
|
| 161 |
+
layers {
|
| 162 |
+
name: "fc8"
|
| 163 |
+
type: INNER_PRODUCT
|
| 164 |
+
bottom: "fc7"
|
| 165 |
+
top: "fc8"
|
| 166 |
+
inner_product_param {
|
| 167 |
+
num_output: 8
|
| 168 |
+
}
|
| 169 |
+
}
|
| 170 |
+
layers {
|
| 171 |
+
name: "prob"
|
| 172 |
+
type: SOFTMAX
|
| 173 |
+
bottom: "fc8"
|
| 174 |
+
top: "prob"
|
| 175 |
+
}
|
age_net.caffemodel
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6dde5d07df5ca1d66ff39e525693f05ccfb9d2c437e188fdd1a10d42e57fabd6
|
| 3 |
+
size 45661480
|