718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
549 lines
9.2 KiB
Plaintext
549 lines
9.2 KiB
Plaintext
name: "squeezenet_v1.1_deploy"
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layer {
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name: "data"
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type: "Input"
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top: "data"
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input_param { shape: { dim: 1 dim: 3 dim: 227 dim: 227 } }
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}
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layer {
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name: "conv1"
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type: "Convolution"
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bottom: "data"
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top: "conv1"
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convolution_param {
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num_output: 64
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "relu_conv1"
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type: "ReLU"
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bottom: "conv1"
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top: "conv1"
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}
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layer {
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name: "pool1"
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type: "Pooling"
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bottom: "conv1"
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top: "pool1"
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pooling_param {
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pool: MAX
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "fire2/squeeze1x1"
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type: "Convolution"
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bottom: "pool1"
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top: "fire2/squeeze1x1"
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convolution_param {
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num_output: 16
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kernel_size: 1
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}
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}
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layer {
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name: "fire2/relu_squeeze1x1"
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type: "ReLU"
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bottom: "fire2/squeeze1x1"
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top: "fire2/squeeze1x1"
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}
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layer {
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name: "fire2/expand1x1"
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type: "Convolution"
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bottom: "fire2/squeeze1x1"
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top: "fire2/expand1x1"
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convolution_param {
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num_output: 64
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kernel_size: 1
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}
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}
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layer {
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name: "fire2/relu_expand1x1"
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type: "ReLU"
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bottom: "fire2/expand1x1"
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top: "fire2/expand1x1"
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}
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layer {
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name: "fire2/expand3x3"
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type: "Convolution"
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bottom: "fire2/squeeze1x1"
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top: "fire2/expand3x3"
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convolution_param {
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num_output: 64
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pad: 1
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kernel_size: 3
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}
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}
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layer {
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name: "fire2/relu_expand3x3"
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type: "ReLU"
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bottom: "fire2/expand3x3"
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top: "fire2/expand3x3"
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}
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layer {
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name: "fire2/concat"
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type: "Concat"
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bottom: "fire2/expand1x1"
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bottom: "fire2/expand3x3"
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top: "fire2/concat"
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}
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layer {
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name: "fire3/squeeze1x1"
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type: "Convolution"
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bottom: "fire2/concat"
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top: "fire3/squeeze1x1"
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convolution_param {
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num_output: 16
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kernel_size: 1
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}
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}
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layer {
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name: "fire3/relu_squeeze1x1"
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type: "ReLU"
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bottom: "fire3/squeeze1x1"
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top: "fire3/squeeze1x1"
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}
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layer {
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name: "fire3/expand1x1"
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type: "Convolution"
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bottom: "fire3/squeeze1x1"
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top: "fire3/expand1x1"
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convolution_param {
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num_output: 64
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kernel_size: 1
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}
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}
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layer {
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name: "fire3/relu_expand1x1"
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type: "ReLU"
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bottom: "fire3/expand1x1"
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top: "fire3/expand1x1"
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}
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layer {
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name: "fire3/expand3x3"
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type: "Convolution"
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bottom: "fire3/squeeze1x1"
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top: "fire3/expand3x3"
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convolution_param {
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num_output: 64
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pad: 1
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kernel_size: 3
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}
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}
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layer {
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name: "fire3/relu_expand3x3"
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type: "ReLU"
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bottom: "fire3/expand3x3"
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top: "fire3/expand3x3"
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}
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layer {
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name: "fire3/concat"
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type: "Concat"
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bottom: "fire3/expand1x1"
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bottom: "fire3/expand3x3"
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top: "fire3/concat"
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}
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layer {
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name: "pool3"
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type: "Pooling"
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bottom: "fire3/concat"
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top: "pool3"
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pooling_param {
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pool: MAX
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "fire4/squeeze1x1"
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type: "Convolution"
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bottom: "pool3"
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top: "fire4/squeeze1x1"
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convolution_param {
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num_output: 32
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kernel_size: 1
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}
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}
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layer {
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name: "fire4/relu_squeeze1x1"
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type: "ReLU"
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bottom: "fire4/squeeze1x1"
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top: "fire4/squeeze1x1"
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}
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layer {
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name: "fire4/expand1x1"
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type: "Convolution"
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bottom: "fire4/squeeze1x1"
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top: "fire4/expand1x1"
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convolution_param {
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num_output: 128
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kernel_size: 1
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}
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}
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layer {
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name: "fire4/relu_expand1x1"
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type: "ReLU"
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bottom: "fire4/expand1x1"
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top: "fire4/expand1x1"
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}
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layer {
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name: "fire4/expand3x3"
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type: "Convolution"
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bottom: "fire4/squeeze1x1"
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top: "fire4/expand3x3"
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convolution_param {
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num_output: 128
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pad: 1
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kernel_size: 3
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}
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}
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layer {
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name: "fire4/relu_expand3x3"
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type: "ReLU"
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bottom: "fire4/expand3x3"
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top: "fire4/expand3x3"
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}
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layer {
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name: "fire4/concat"
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type: "Concat"
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bottom: "fire4/expand1x1"
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bottom: "fire4/expand3x3"
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top: "fire4/concat"
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}
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layer {
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name: "fire5/squeeze1x1"
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type: "Convolution"
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bottom: "fire4/concat"
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top: "fire5/squeeze1x1"
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convolution_param {
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num_output: 32
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kernel_size: 1
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}
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}
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layer {
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name: "fire5/relu_squeeze1x1"
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type: "ReLU"
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bottom: "fire5/squeeze1x1"
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top: "fire5/squeeze1x1"
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}
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layer {
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name: "fire5/expand1x1"
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type: "Convolution"
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bottom: "fire5/squeeze1x1"
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top: "fire5/expand1x1"
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convolution_param {
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num_output: 128
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kernel_size: 1
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}
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}
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layer {
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name: "fire5/relu_expand1x1"
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type: "ReLU"
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bottom: "fire5/expand1x1"
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top: "fire5/expand1x1"
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}
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layer {
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name: "fire5/expand3x3"
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type: "Convolution"
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bottom: "fire5/squeeze1x1"
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top: "fire5/expand3x3"
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convolution_param {
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num_output: 128
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pad: 1
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kernel_size: 3
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}
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}
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layer {
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name: "fire5/relu_expand3x3"
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type: "ReLU"
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bottom: "fire5/expand3x3"
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top: "fire5/expand3x3"
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}
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layer {
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name: "fire5/concat"
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type: "Concat"
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bottom: "fire5/expand1x1"
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bottom: "fire5/expand3x3"
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top: "fire5/concat"
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}
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layer {
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name: "pool5"
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type: "Pooling"
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bottom: "fire5/concat"
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top: "pool5"
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pooling_param {
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pool: MAX
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "fire6/squeeze1x1"
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type: "Convolution"
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bottom: "pool5"
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top: "fire6/squeeze1x1"
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convolution_param {
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num_output: 48
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kernel_size: 1
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}
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}
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layer {
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name: "fire6/relu_squeeze1x1"
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type: "ReLU"
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bottom: "fire6/squeeze1x1"
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top: "fire6/squeeze1x1"
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}
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layer {
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name: "fire6/expand1x1"
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type: "Convolution"
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bottom: "fire6/squeeze1x1"
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top: "fire6/expand1x1"
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convolution_param {
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num_output: 192
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kernel_size: 1
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}
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}
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layer {
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name: "fire6/relu_expand1x1"
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type: "ReLU"
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bottom: "fire6/expand1x1"
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top: "fire6/expand1x1"
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}
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layer {
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name: "fire6/expand3x3"
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type: "Convolution"
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bottom: "fire6/squeeze1x1"
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top: "fire6/expand3x3"
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convolution_param {
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num_output: 192
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pad: 1
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kernel_size: 3
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}
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}
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layer {
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name: "fire6/relu_expand3x3"
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type: "ReLU"
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bottom: "fire6/expand3x3"
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top: "fire6/expand3x3"
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}
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layer {
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name: "fire6/concat"
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type: "Concat"
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bottom: "fire6/expand1x1"
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bottom: "fire6/expand3x3"
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top: "fire6/concat"
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}
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layer {
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name: "fire7/squeeze1x1"
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type: "Convolution"
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bottom: "fire6/concat"
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top: "fire7/squeeze1x1"
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convolution_param {
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num_output: 48
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kernel_size: 1
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}
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}
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layer {
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name: "fire7/relu_squeeze1x1"
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type: "ReLU"
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bottom: "fire7/squeeze1x1"
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top: "fire7/squeeze1x1"
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}
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layer {
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name: "fire7/expand1x1"
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type: "Convolution"
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bottom: "fire7/squeeze1x1"
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top: "fire7/expand1x1"
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convolution_param {
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num_output: 192
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kernel_size: 1
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}
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}
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layer {
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name: "fire7/relu_expand1x1"
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type: "ReLU"
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bottom: "fire7/expand1x1"
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top: "fire7/expand1x1"
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}
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layer {
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name: "fire7/expand3x3"
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type: "Convolution"
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bottom: "fire7/squeeze1x1"
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top: "fire7/expand3x3"
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convolution_param {
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num_output: 192
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pad: 1
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kernel_size: 3
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}
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}
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layer {
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name: "fire7/relu_expand3x3"
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type: "ReLU"
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bottom: "fire7/expand3x3"
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top: "fire7/expand3x3"
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}
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layer {
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name: "fire7/concat"
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type: "Concat"
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bottom: "fire7/expand1x1"
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bottom: "fire7/expand3x3"
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top: "fire7/concat"
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}
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layer {
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name: "fire8/squeeze1x1"
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type: "Convolution"
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bottom: "fire7/concat"
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top: "fire8/squeeze1x1"
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convolution_param {
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num_output: 64
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kernel_size: 1
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}
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}
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layer {
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name: "fire8/relu_squeeze1x1"
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type: "ReLU"
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bottom: "fire8/squeeze1x1"
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top: "fire8/squeeze1x1"
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}
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layer {
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name: "fire8/expand1x1"
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type: "Convolution"
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bottom: "fire8/squeeze1x1"
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top: "fire8/expand1x1"
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convolution_param {
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num_output: 256
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kernel_size: 1
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}
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}
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layer {
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name: "fire8/relu_expand1x1"
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type: "ReLU"
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bottom: "fire8/expand1x1"
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top: "fire8/expand1x1"
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}
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layer {
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name: "fire8/expand3x3"
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type: "Convolution"
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bottom: "fire8/squeeze1x1"
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top: "fire8/expand3x3"
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convolution_param {
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num_output: 256
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pad: 1
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kernel_size: 3
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}
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}
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layer {
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name: "fire8/relu_expand3x3"
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type: "ReLU"
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bottom: "fire8/expand3x3"
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top: "fire8/expand3x3"
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}
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layer {
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name: "fire8/concat"
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type: "Concat"
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bottom: "fire8/expand1x1"
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bottom: "fire8/expand3x3"
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top: "fire8/concat"
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}
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layer {
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name: "fire9/squeeze1x1"
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type: "Convolution"
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bottom: "fire8/concat"
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top: "fire9/squeeze1x1"
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convolution_param {
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num_output: 64
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kernel_size: 1
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}
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}
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layer {
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name: "fire9/relu_squeeze1x1"
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type: "ReLU"
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bottom: "fire9/squeeze1x1"
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top: "fire9/squeeze1x1"
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}
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layer {
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name: "fire9/expand1x1"
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type: "Convolution"
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bottom: "fire9/squeeze1x1"
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top: "fire9/expand1x1"
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convolution_param {
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num_output: 256
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kernel_size: 1
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}
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}
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layer {
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name: "fire9/relu_expand1x1"
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type: "ReLU"
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bottom: "fire9/expand1x1"
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top: "fire9/expand1x1"
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}
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layer {
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name: "fire9/expand3x3"
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type: "Convolution"
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bottom: "fire9/squeeze1x1"
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top: "fire9/expand3x3"
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convolution_param {
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num_output: 256
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pad: 1
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kernel_size: 3
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}
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}
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layer {
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name: "fire9/relu_expand3x3"
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type: "ReLU"
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bottom: "fire9/expand3x3"
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top: "fire9/expand3x3"
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}
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layer {
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name: "fire9/concat"
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type: "Concat"
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bottom: "fire9/expand1x1"
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bottom: "fire9/expand3x3"
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top: "fire9/concat"
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}
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layer {
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name: "drop9"
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type: "Dropout"
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bottom: "fire9/concat"
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top: "fire9/concat"
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dropout_param {
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dropout_ratio: 0.5
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}
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}
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layer {
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name: "conv10"
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type: "Convolution"
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bottom: "fire9/concat"
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top: "conv10"
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convolution_param {
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num_output: 1000
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pad: 1
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kernel_size: 1
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}
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}
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layer {
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name: "relu_conv10"
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type: "ReLU"
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bottom: "conv10"
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top: "conv10"
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}
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layer {
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name: "pool10"
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type: "Pooling"
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bottom: "conv10"
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top: "pool10"
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pooling_param {
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pool: AVE
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global_pooling: true
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}
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}
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layer {
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name: "prob"
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type: "Softmax"
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bottom: "pool10"
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top: "prob"
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}
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