SoftwareGift
Where is deploy.prototxt
Hi, where can I get the deploy.prototxt file corresponding to the release model? Thank you!
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.
` 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 } }
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