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Where is deploy.prototxt #7

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sangdv opened this issue May 7, 2020 · 3 comments
Open

Where is deploy.prototxt #7

sangdv opened this issue May 7, 2020 · 3 comments

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@sangdv
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sangdv commented May 7, 2020

Hi, where can I get the deploy.prototxt file corresponding to the release model? Thank you!
@mipko
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mipko commented May 16, 2020

for facial detection, you can get it from here
https://github.com/thegopieffect/computer_vision/tree/master/CAFFE_DNN

However, for classifier which should be SqueezeNet, I have no idea... I get sigabrt for SqueezeNet 1.0 and 1.1 deploy.prototxt.

It would be great if the author tells us if he wants to release all the information or not.

@inlmouse
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inlmouse commented Jun 3, 2020

`
name: "squeezex"
layer {
name: "data"
type: "MemoryData"
top: "data"
top: "label"
memory_data_param {
batch_size: 1
channels: 3
height: 227
width: 227
}
transform_param {
mean_value: 90
mean_value: 198
mean_value: 121
#scale: 0.0078125
}
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
#phase: TRAIN
convolution_param {
num_output: 64
kernel_size: 3
stride: 2
weight_filler {
type: "xavier"
}
}
}
layer {
name: "relu_conv1"
type: "ReLU"
bottom: "conv1"
top: "conv1"
#phase: TRAIN
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
#phase: TRAIN
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "fire2/squeeze1x1"
type: "Convolution"
bottom: "pool1"
top: "fire2/squeeze1x1"
#phase: TRAIN
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire2/relu_squeeze1x1"
type: "ReLU"
bottom: "fire2/squeeze1x1"
top: "fire2/squeeze1x1"
#phase: TRAIN
}
layer {
name: "fire2/squeeze1x1_fire2/relu_squeeze1x1_0_split"
type: "Split"
bottom: "fire2/squeeze1x1"
top: "fire2/squeeze1x1_fire2/relu_squeeze1x1_0_split_0"
top: "fire2/squeeze1x1_fire2/relu_squeeze1x1_0_split_1"
#phase: TRAIN
}
layer {
name: "fire2/expand1x1"
type: "Convolution"
bottom: "fire2/squeeze1x1_fire2/relu_squeeze1x1_0_split_0"
top: "fire2/expand1x1"
#phase: TRAIN
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire2/relu_expand1x1"
type: "ReLU"
bottom: "fire2/expand1x1"
top: "fire2/expand1x1"
#phase: TRAIN
}
layer {
name: "fire2/expand3x3"
type: "Convolution"
bottom: "fire2/squeeze1x1_fire2/relu_squeeze1x1_0_split_1"
top: "fire2/expand3x3"
#phase: TRAIN
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire2/relu_expand3x3"
type: "ReLU"
bottom: "fire2/expand3x3"
top: "fire2/expand3x3"
#phase: TRAIN
}
layer {
name: "fire2/concat"
type: "Concat"
bottom: "fire2/expand1x1"
bottom: "fire2/expand3x3"
top: "fire2/concat"
#phase: TRAIN
}
layer {
name: "fire3/squeeze1x1"
type: "Convolution"
bottom: "fire2/concat"
top: "fire3/squeeze1x1"
#phase: TRAIN
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire3/relu_squeeze1x1"
type: "ReLU"
bottom: "fire3/squeeze1x1"
top: "fire3/squeeze1x1"
#phase: TRAIN
}
layer {
name: "fire3/squeeze1x1_fire3/relu_squeeze1x1_0_split"
type: "Split"
bottom: "fire3/squeeze1x1"
top: "fire3/squeeze1x1_fire3/relu_squeeze1x1_0_split_0"
top: "fire3/squeeze1x1_fire3/relu_squeeze1x1_0_split_1"
#phase: TRAIN
}
layer {
name: "fire3/expand1x1"
type: "Convolution"
bottom: "fire3/squeeze1x1_fire3/relu_squeeze1x1_0_split_0"
top: "fire3/expand1x1"
#phase: TRAIN
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire3/relu_expand1x1"
type: "ReLU"
bottom: "fire3/expand1x1"
top: "fire3/expand1x1"
#phase: TRAIN
}
layer {
name: "fire3/expand3x3"
type: "Convolution"
bottom: "fire3/squeeze1x1_fire3/relu_squeeze1x1_0_split_1"
top: "fire3/expand3x3"
#phase: TRAIN
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire3/relu_expand3x3"
type: "ReLU"
bottom: "fire3/expand3x3"
top: "fire3/expand3x3"
#phase: TRAIN
}
layer {
name: "fire3/concat"
type: "Concat"
bottom: "fire3/expand1x1"
bottom: "fire3/expand3x3"
top: "fire3/concat"
#phase: TRAIN
}
layer {
name: "pool3"
type: "Pooling"
bottom: "fire3/concat"
top: "pool3"
#phase: TRAIN
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "fire4/squeeze1x1"
type: "Convolution"
bottom: "pool3"
top: "fire4/squeeze1x1"
#phase: TRAIN
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire4/relu_squeeze1x1"
type: "ReLU"
bottom: "fire4/squeeze1x1"
top: "fire4/squeeze1x1"
#phase: TRAIN
}
layer {
name: "fire4/squeeze1x1_fire4/relu_squeeze1x1_0_split"
type: "Split"
bottom: "fire4/squeeze1x1"
top: "fire4/squeeze1x1_fire4/relu_squeeze1x1_0_split_0"
top: "fire4/squeeze1x1_fire4/relu_squeeze1x1_0_split_1"
#phase: TRAIN
}
layer {
name: "fire4/expand1x1"
type: "Convolution"
bottom: "fire4/squeeze1x1_fire4/relu_squeeze1x1_0_split_0"
top: "fire4/expand1x1"
#phase: TRAIN
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire4/relu_expand1x1"
type: "ReLU"
bottom: "fire4/expand1x1"
top: "fire4/expand1x1"
#phase: TRAIN
}
layer {
name: "fire4/expand3x3"
type: "Convolution"
bottom: "fire4/squeeze1x1_fire4/relu_squeeze1x1_0_split_1"
top: "fire4/expand3x3"
#phase: TRAIN
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire4/relu_expand3x3"
type: "ReLU"
bottom: "fire4/expand3x3"
top: "fire4/expand3x3"
#phase: TRAIN
}
layer {
name: "fire4/concat"
type: "Concat"
bottom: "fire4/expand1x1"
bottom: "fire4/expand3x3"
top: "fire4/concat"
#phase: TRAIN
}
layer {
name: "fire5/squeeze1x1"
type: "Convolution"
bottom: "fire4/concat"
top: "fire5/squeeze1x1"
#phase: TRAIN
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire5/relu_squeeze1x1"
type: "ReLU"
bottom: "fire5/squeeze1x1"
top: "fire5/squeeze1x1"
#phase: TRAIN
}
layer {
name: "fire5/squeeze1x1_fire5/relu_squeeze1x1_0_split"
type: "Split"
bottom: "fire5/squeeze1x1"
top: "fire5/squeeze1x1_fire5/relu_squeeze1x1_0_split_0"
top: "fire5/squeeze1x1_fire5/relu_squeeze1x1_0_split_1"
#phase: TRAIN
}
layer {
name: "fire5/expand1x1"
type: "Convolution"
bottom: "fire5/squeeze1x1_fire5/relu_squeeze1x1_0_split_0"
top: "fire5/expand1x1"
#phase: TRAIN
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire5/relu_expand1x1"
type: "ReLU"
bottom: "fire5/expand1x1"
top: "fire5/expand1x1"
#phase: TRAIN
}
layer {
name: "fire5/expand3x3"
type: "Convolution"
bottom: "fire5/squeeze1x1_fire5/relu_squeeze1x1_0_split_1"
top: "fire5/expand3x3"
#phase: TRAIN
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire5/relu_expand3x3"
type: "ReLU"
bottom: "fire5/expand3x3"
top: "fire5/expand3x3"
#phase: TRAIN
}
layer {
name: "fire5/concat"
type: "Concat"
bottom: "fire5/expand1x1"
bottom: "fire5/expand3x3"
top: "fire5/concat"
#phase: TRAIN
}
layer {
name: "pool5"
type: "Pooling"
bottom: "fire5/concat"
top: "pool5"
#phase: TRAIN
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "fire6/squeeze1x1"
type: "Convolution"
bottom: "pool5"
top: "fire6/squeeze1x1"
#phase: TRAIN
convolution_param {
num_output: 48
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire6/relu_squeeze1x1"
type: "ReLU"
bottom: "fire6/squeeze1x1"
top: "fire6/squeeze1x1"
#phase: TRAIN
}
layer {
name: "fire6/squeeze1x1_fire6/relu_squeeze1x1_0_split"
type: "Split"
bottom: "fire6/squeeze1x1"
top: "fire6/squeeze1x1_fire6/relu_squeeze1x1_0_split_0"
top: "fire6/squeeze1x1_fire6/relu_squeeze1x1_0_split_1"
#phase: TRAIN
}
layer {
name: "fire6/expand1x1"
type: "Convolution"
bottom: "fire6/squeeze1x1_fire6/relu_squeeze1x1_0_split_0"
top: "fire6/expand1x1"
#phase: TRAIN
convolution_param {
num_output: 192
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire6/relu_expand1x1"
type: "ReLU"
bottom: "fire6/expand1x1"
top: "fire6/expand1x1"
#phase: TRAIN
}
layer {
name: "fire6/expand3x3"
type: "Convolution"
bottom: "fire6/squeeze1x1_fire6/relu_squeeze1x1_0_split_1"
top: "fire6/expand3x3"
#phase: TRAIN
convolution_param {
num_output: 192
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire6/relu_expand3x3"
type: "ReLU"
bottom: "fire6/expand3x3"
top: "fire6/expand3x3"
#phase: TRAIN
}
layer {
name: "fire6/concat"
type: "Concat"
bottom: "fire6/expand1x1"
bottom: "fire6/expand3x3"
top: "fire6/concat"
#phase: TRAIN
}
layer {
name: "fire7/squeeze1x1"
type: "Convolution"
bottom: "fire6/concat"
top: "fire7/squeeze1x1"
#phase: TRAIN
convolution_param {
num_output: 48
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire7/relu_squeeze1x1"
type: "ReLU"
bottom: "fire7/squeeze1x1"
top: "fire7/squeeze1x1"
#phase: TRAIN
}
layer {
name: "fire7/squeeze1x1_fire7/relu_squeeze1x1_0_split"
type: "Split"
bottom: "fire7/squeeze1x1"
top: "fire7/squeeze1x1_fire7/relu_squeeze1x1_0_split_0"
top: "fire7/squeeze1x1_fire7/relu_squeeze1x1_0_split_1"
#phase: TRAIN
}
layer {
name: "fire7/expand1x1"
type: "Convolution"
bottom: "fire7/squeeze1x1_fire7/relu_squeeze1x1_0_split_0"
top: "fire7/expand1x1"
#phase: TRAIN
convolution_param {
num_output: 192
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire7/relu_expand1x1"
type: "ReLU"
bottom: "fire7/expand1x1"
top: "fire7/expand1x1"
#phase: TRAIN
}
layer {
name: "fire7/expand3x3"
type: "Convolution"
bottom: "fire7/squeeze1x1_fire7/relu_squeeze1x1_0_split_1"
top: "fire7/expand3x3"
#phase: TRAIN
convolution_param {
num_output: 192
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire7/relu_expand3x3"
type: "ReLU"
bottom: "fire7/expand3x3"
top: "fire7/expand3x3"
#phase: TRAIN
}
layer {
name: "fire7/concat"
type: "Concat"
bottom: "fire7/expand1x1"
bottom: "fire7/expand3x3"
top: "fire7/concat"
#phase: TRAIN
}
layer {
name: "fire8/squeeze1x1"
type: "Convolution"
bottom: "fire7/concat"
top: "fire8/squeeze1x1"
#phase: TRAIN
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire8/relu_squeeze1x1"
type: "ReLU"
bottom: "fire8/squeeze1x1"
top: "fire8/squeeze1x1"
#phase: TRAIN
}
layer {
name: "fire8/squeeze1x1_fire8/relu_squeeze1x1_0_split"
type: "Split"
bottom: "fire8/squeeze1x1"
top: "fire8/squeeze1x1_fire8/relu_squeeze1x1_0_split_0"
top: "fire8/squeeze1x1_fire8/relu_squeeze1x1_0_split_1"
#phase: TRAIN
}
layer {
name: "fire8/expand1x1"
type: "Convolution"
bottom: "fire8/squeeze1x1_fire8/relu_squeeze1x1_0_split_0"
top: "fire8/expand1x1"
#phase: TRAIN
convolution_param {
num_output: 256
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire8/relu_expand1x1"
type: "ReLU"
bottom: "fire8/expand1x1"
top: "fire8/expand1x1"
#phase: TRAIN
}
layer {
name: "fire8/expand3x3"
type: "Convolution"
bottom: "fire8/squeeze1x1_fire8/relu_squeeze1x1_0_split_1"
top: "fire8/expand3x3"
#phase: TRAIN
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire8/relu_expand3x3"
type: "ReLU"
bottom: "fire8/expand3x3"
top: "fire8/expand3x3"
#phase: TRAIN
}
layer {
name: "fire8/concat"
type: "Concat"
bottom: "fire8/expand1x1"
bottom: "fire8/expand3x3"
top: "fire8/concat"
#phase: TRAIN
}
layer {
name: "fire9/squeeze1x1"
type: "Convolution"
bottom: "fire8/concat"
top: "fire9/squeeze1x1"
#phase: TRAIN
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire9/relu_squeeze1x1"
type: "ReLU"
bottom: "fire9/squeeze1x1"
top: "fire9/squeeze1x1"
#phase: TRAIN
}
layer {
name: "fire9/squeeze1x1_fire9/relu_squeeze1x1_0_split"
type: "Split"
bottom: "fire9/squeeze1x1"
top: "fire9/squeeze1x1_fire9/relu_squeeze1x1_0_split_0"
top: "fire9/squeeze1x1_fire9/relu_squeeze1x1_0_split_1"
#phase: TRAIN
}
layer {
name: "fire9/expand1x1"
type: "Convolution"
bottom: "fire9/squeeze1x1_fire9/relu_squeeze1x1_0_split_0"
top: "fire9/expand1x1"
#phase: TRAIN
convolution_param {
num_output: 256
kernel_size: 1
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire9/relu_expand1x1"
type: "ReLU"
bottom: "fire9/expand1x1"
top: "fire9/expand1x1"
#phase: TRAIN
}
layer {
name: "fire9/expand3x3"
type: "Convolution"
bottom: "fire9/squeeze1x1_fire9/relu_squeeze1x1_0_split_1"
top: "fire9/expand3x3"
#phase: TRAIN
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
}
}
}
layer {
name: "fire9/relu_expand3x3"
type: "ReLU"
bottom: "fire9/expand3x3"
top: "fire9/expand3x3"
#phase: TRAIN
}
layer {
name: "fire9/concat"
type: "Concat"
bottom: "fire9/expand1x1"
bottom: "fire9/expand3x3"
top: "fire9/concat"
#phase: TRAIN
}
layer {
name: "drop9"
type: "Dropout"
bottom: "fire9/concat"
top: "fire9/concat"
#phase: TRAIN
dropout_param {
dropout_ratio: 0.5
}
}
layer {
name: "conv10_new"
type: "Convolution"
bottom: "fire9/concat"
top: "conv10_new"
#phase: TRAIN
convolution_param {
num_output: 2
kernel_size: 1
weight_filler {
type: "gaussian"
mean: 0
std: 0.01
}
}
}
layer {
name: "relu_conv10"
type: "ReLU"
bottom: "conv10_new"
top: "conv10_new"
#phase: TRAIN
}
layer {
name: "pool10"
type: "Pooling"
bottom: "conv10_new"
top: "pool10"
#phase: TRAIN
pooling_param {
pool: AVE
global_pooling: true
}
}

`

@DiaosWang
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@inlmouse hello, What file did you write?
best wishes!!

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@inlmouse @sangdv @mipko @DiaosWang