iOS版本更新为端到端识别

Prj-iOS/lpr/.gitignore

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+.DS_Store
+Pods/
+.clang-format

Prj-iOS/lpr/Podfile

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+platform :ios, '10.1'
+
+target "lpr" do
+
+pod 'OpenCV', '~> 3.4.2'
+pod 'Masonry'
+
+end

Prj-iOS/lpr/Podfile.lock

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+PODS:
+  - Masonry (1.1.0)
+  - OpenCV (3.4.2)
+
+DEPENDENCIES:
+  - Masonry
+  - OpenCV (~> 3.4.2)
+
+SPEC REPOS:
+  https://github.com/cocoapods/specs.git:
+    - Masonry
+    - OpenCV
+
+SPEC CHECKSUMS:
+  Masonry: 678fab65091a9290e40e2832a55e7ab731aad201
+  OpenCV: 452909747854c92e0f59670961ed5131f5286cb5
+
+PODFILE CHECKSUM: 94db02cda76a5ac6371a03e6e2ca4e9035fc0da6
+
+COCOAPODS: 1.5.3

Prj-iOS/lpr/README.md

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+
+Depency Library:
+- Masonry, 1.1.0
+- OpenCV, 3.4.2

Prj-iOS/lpr/Resource/CharacterRecognization.prototxt

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+input: "data"
+input_dim: 1
+input_dim: 1
+input_dim: 30
+input_dim: 14
+layer {
+  name: "conv2d_1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv2d_1"
+  convolution_param {
+    num_output: 32
+    bias_term: true
+    pad: 0
+    kernel_size: 3
+    stride: 1
+  }
+}
+layer {
+  name: "activation_1"
+  type: "ReLU"
+  bottom: "conv2d_1"
+  top: "activation_1"
+}
+layer {
+  name: "max_pooling2d_1"
+  type: "Pooling"
+  bottom: "activation_1"
+  top: "max_pooling2d_1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+    pad: 0
+  }
+}
+layer {
+  name: "conv2d_2"
+  type: "Convolution"
+  bottom: "max_pooling2d_1"
+  top: "conv2d_2"
+  convolution_param {
+    num_output: 64
+    bias_term: true
+    pad: 0
+    kernel_size: 3
+    stride: 1
+  }
+}
+layer {
+  name: "activation_2"
+  type: "ReLU"
+  bottom: "conv2d_2"
+  top: "activation_2"
+}
+layer {
+  name: "max_pooling2d_2"
+  type: "Pooling"
+  bottom: "activation_2"
+  top: "max_pooling2d_2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+    pad: 0
+  }
+}
+layer {
+  name: "conv2d_3"
+  type: "Convolution"
+  bottom: "max_pooling2d_2"
+  top: "conv2d_3"
+  convolution_param {
+    num_output: 128
+    bias_term: true
+    pad: 0
+    kernel_size: 2
+    stride: 1
+  }
+}
+layer {
+  name: "activation_3"
+  type: "ReLU"
+  bottom: "conv2d_3"
+  top: "activation_3"
+}
+layer {
+  name: "flatten_1"
+  type: "Flatten"
+  bottom: "activation_3"
+  top: "flatten_1"
+}
+layer {
+  name: "dense_1"
+  type: "InnerProduct"
+  bottom: "flatten_1"
+  top: "dense_1"
+  inner_product_param {
+    num_output: 256
+  }
+}
+layer {
+  name: "relu2"
+  type: "ReLU"
+  bottom: "dense_1"
+  top: "relu2"
+}
+layer {
+  name: "dense2"
+  type: "InnerProduct"
+  bottom: "relu2"
+  top: "dense2"
+  inner_product_param {
+    num_output: 65
+  }
+}
+
+layer {
+  name: "prob"
+  type: "Softmax"
+  bottom: "dense2"
+  top: "prob"
+}

Prj-iOS/lpr/Resource/HorizonalFinemapping.prototxt

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+input: "data"
+input_dim: 1
+input_dim: 3
+input_dim: 16
+input_dim: 66
+layer {
+  name: "conv1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1"
+  convolution_param {
+    num_output: 10
+    bias_term: true
+    pad: 0
+    kernel_size: 3
+    stride: 1
+  }
+}
+layer {
+  name: "relu1"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+}
+layer {
+  name: "max_pooling2d_3"
+  type: "Pooling"
+  bottom: "conv1"
+  top: "max_pooling2d_3"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+    pad: 0
+  }
+}
+layer {
+  name: "conv2"
+  type: "Convolution"
+  bottom: "max_pooling2d_3"
+  top: "conv2"
+  convolution_param {
+    num_output: 16
+    bias_term: true
+    pad: 0
+    kernel_size: 3
+    stride: 1
+  }
+}
+layer {
+  name: "relu2"
+  type: "ReLU"
+  bottom: "conv2"
+  top: "conv2"
+}
+layer {
+  name: "conv3"
+  type: "Convolution"
+  bottom: "conv2"
+  top: "conv3"
+  convolution_param {
+    num_output: 32
+    bias_term: true
+    pad: 0
+    kernel_size: 3
+    stride: 1
+  }
+}
+layer {
+  name: "relu3"
+  type: "ReLU"
+  bottom: "conv3"
+  top: "conv3"
+}
+layer {
+  name: "flatten_2"
+  type: "Flatten"
+  bottom: "conv3"
+  top: "flatten_2"
+}
+layer {
+  name: "dense"
+  type: "InnerProduct"
+  bottom: "flatten_2"
+  top: "dense"
+  inner_product_param {
+    num_output: 2
+  }
+}
+layer {
+  name: "relu4"
+  type: "ReLU"
+  bottom: "dense"
+  top: "dense"
+}