Move binary testdata from opencv_contrib to opencv_extra

modules/dnn/testdata/dnn/bvlc_alexnet.prototxt

@@ -1,276 +0,0 @@
-name: "AlexNet"
-input: "data"
-input_dim: 10
-input_dim: 3
-input_dim: 227
-input_dim: 227
-layer {
-  name: "conv1"
-  type: "Convolution"
-  bottom: "data"
-  top: "conv1"
-  param {
-    lr_mult: 1
-    decay_mult: 1
-  }
-  param {
-    lr_mult: 2
-    decay_mult: 0
-  }
-  convolution_param {
-    num_output: 96
-    kernel_size: 11
-    stride: 4
-  }
-}
-layer {
-  name: "relu1"
-  type: "ReLU"
-  bottom: "conv1"
-  top: "conv1"
-}
-layer {
-  name: "norm1"
-  type: "LRN"
-  bottom: "conv1"
-  top: "norm1"
-  lrn_param {
-    local_size: 5
-    alpha: 0.0001
-    beta: 0.75
-  }
-}
-layer {
-  name: "pool1"
-  type: "Pooling"
-  bottom: "norm1"
-  top: "pool1"
-  pooling_param {
-    pool: MAX
-    kernel_size: 3
-    stride: 2
-  }
-}
-layer {
-  name: "conv2"
-  type: "Convolution"
-  bottom: "pool1"
-  top: "conv2"
-  param {
-    lr_mult: 1
-    decay_mult: 1
-  }
-  param {
-    lr_mult: 2
-    decay_mult: 0
-  }
-  convolution_param {
-    num_output: 256
-    pad: 2
-    kernel_size: 5
-    group: 2
-  }
-}
-layer {
-  name: "relu2"
-  type: "ReLU"
-  bottom: "conv2"
-  top: "conv2"
-}
-layer {
-  name: "norm2"
-  type: "LRN"
-  bottom: "conv2"
-  top: "norm2"
-  lrn_param {
-    local_size: 5
-    alpha: 0.0001
-    beta: 0.75
-  }
-}
-layer {
-  name: "pool2"
-  type: "Pooling"
-  bottom: "norm2"
-  top: "pool2"
-  pooling_param {
-    pool: MAX
-    kernel_size: 3
-    stride: 2
-  }
-}
-layer {
-  name: "conv3"
-  type: "Convolution"
-  bottom: "pool2"
-  top: "conv3"
-  param {
-    lr_mult: 1
-    decay_mult: 1
-  }
-  param {
-    lr_mult: 2
-    decay_mult: 0
-  }
-  convolution_param {
-    num_output: 384
-    pad: 1
-    kernel_size: 3
-  }
-}
-layer {
-  name: "relu3"
-  type: "ReLU"
-  bottom: "conv3"
-  top: "conv3"
-}
-layer {
-  name: "conv4"
-  type: "Convolution"
-  bottom: "conv3"
-  top: "conv4"
-  param {
-    lr_mult: 1
-    decay_mult: 1
-  }
-  param {
-    lr_mult: 2
-    decay_mult: 0
-  }
-  convolution_param {
-    num_output: 384
-    pad: 1
-    kernel_size: 3
-    group: 2
-  }
-}
-layer {
-  name: "relu4"
-  type: "ReLU"
-  bottom: "conv4"
-  top: "conv4"
-}
-layer {
-  name: "conv5"
-  type: "Convolution"
-  bottom: "conv4"
-  top: "conv5"
-  param {
-    lr_mult: 1
-    decay_mult: 1
-  }
-  param {
-    lr_mult: 2
-    decay_mult: 0
-  }
-  convolution_param {
-    num_output: 256
-    pad: 1
-    kernel_size: 3
-    group: 2
-  }
-}
-layer {
-  name: "relu5"
-  type: "ReLU"
-  bottom: "conv5"
-  top: "conv5"
-}
-layer {
-  name: "pool5"
-  type: "Pooling"
-  bottom: "conv5"
-  top: "pool5"
-  pooling_param {
-    pool: MAX
-    kernel_size: 3
-    stride: 2
-  }
-}
-layer {
-  name: "fc6"
-  type: "InnerProduct"
-  bottom: "pool5"
-  top: "fc6"
-  param {
-    lr_mult: 1
-    decay_mult: 1
-  }
-  param {
-    lr_mult: 2
-    decay_mult: 0
-  }
-  inner_product_param {
-    num_output: 4096
-  }
-}
-layer {
-  name: "relu6"
-  type: "ReLU"
-  bottom: "fc6"
-  top: "fc6"
-}
-layer {
-  name: "drop6"
-  type: "Dropout"
-  bottom: "fc6"
-  top: "fc6"
-  dropout_param {
-    dropout_ratio: 0.5
-  }
-}
-layer {
-  name: "fc7"
-  type: "InnerProduct"
-  bottom: "fc6"
-  top: "fc7"
-  param {
-    lr_mult: 1
-    decay_mult: 1
-  }
-  param {
-    lr_mult: 2
-    decay_mult: 0
-  }
-  inner_product_param {
-    num_output: 4096
-  }
-}
-layer {
-  name: "relu7"
-  type: "ReLU"
-  bottom: "fc7"
-  top: "fc7"
-}
-layer {
-  name: "drop7"
-  type: "Dropout"
-  bottom: "fc7"
-  top: "fc7"
-  dropout_param {
-    dropout_ratio: 0.5
-  }
-}
-layer {
-  name: "fc8"
-  type: "InnerProduct"
-  bottom: "fc7"
-  top: "fc8"
-  param {
-    lr_mult: 1
-    decay_mult: 1
-  }
-  param {
-    lr_mult: 2
-    decay_mult: 0
-  }
-  inner_product_param {
-    num_output: 1000
-  }
-}
-layer {
-  name: "prob"
-  type: "Softmax"
-  bottom: "fc8"
-  top: "prob"
-}

modules/dnn/testdata/dnn/gtsrb.prototxt

@@ -1,166 +0,0 @@
-name: "gtsrb"
-input: "input"
-input_dim: 1
-input_dim: 3
-input_dim: 48
-input_dim: 48
-
-layers {
-  bottom: "input"
-  top: "layer1"
-  name: "layer1"
-  type: CONVOLUTION
-  blobs_lr: 1
-  blobs_lr: 2
-  convolution_param {
-    num_output: 100
-    kernel_size: 7
-    stride: 1
-    weight_filler {
-      type: "xavier"
-    }
-    bias_filler {
-      type: "constant"
-    }
-  }
-}
-layers {
-  name: "tanh1"
-  bottom: "layer1"
-  top: "layer1"
-  type: TANH
-}
-layers {
-  bottom: "layer1"
-  top: "layer2"
-  name: "layer2"
-  type: POOLING
-  pooling_param {
-    pool: MAX
-    kernel_size: 2
-    stride: 2
-  }
-}
-
-layers {
-  bottom: "layer2"
-  top: "layer3"
-  name: "layer3"
-  type: CONVOLUTION
-  blobs_lr: 1
-  blobs_lr: 2
-  convolution_param {
-    num_output: 150
-    kernel_size: 4
-    stride: 1
-    weight_filler {
-      type: "xavier"
-    }
-    bias_filler {
-      type: "constant"
-    }
-  }
-}
-layers {
-  name: "tanh3"
-  bottom: "layer3"
-  top: "layer3"
-  type: TANH
-}
-layers {
-  bottom: "layer3"
-  top: "layer4"
-  name: "layer4"
-  type: POOLING
-  pooling_param {
-    pool: MAX
-    kernel_size: 2
-    stride: 2
-  }
-}
-
-layers {
-  bottom: "layer4"
-  top: "layer5"
-  name: "layer5"
-  type: CONVOLUTION
-  blobs_lr: 1
-  blobs_lr: 2
-  convolution_param {
-    num_output: 250
-    kernel_size: 4
-    stride: 1
-    weight_filler {
-      type: "xavier"
-    }
-    bias_filler {
-      type: "constant"
-    }
-  }
-}
-layers {
-  name: "tanh5"
-  bottom: "layer5"
-  top: "layer5"
-  type: TANH
-}
-layers {
-  bottom: "layer5"
-  top: "layer6"
-  name: "layer6"
-  type: POOLING
-  pooling_param {
-    pool: MAX
-    kernel_size: 2
-    stride: 2
-  }
-}
-
-layers {
-  bottom: "layer6"
-  top: "layer7"
-  name: "layer7"
-  type: INNER_PRODUCT
-  blobs_lr: 1
-  blobs_lr: 2
-  inner_product_param {
-    num_output: 300
-    weight_filler {
-      type: "xavier"
-    }
-    bias_filler {
-      type: "constant"
-    }
-  }
-}
-layers {
-  name: "tanh7"
-  bottom: "layer7"
-  top: "layer7"
-  type: TANH
-}
-
-layers {
-  bottom: "layer7"
-  top: "layer8"
-  name: "layer8"
-  type: INNER_PRODUCT
-  blobs_lr: 1
-  blobs_lr: 2
-  inner_product_param {
-    num_output: 43
-    weight_filler {
-      type: "xavier"
-    }
-    bias_filler {
-      type: "constant"
-    }
-  }
-}
-
-layers {
-  name: "loss"
-  top: "loss"
-  bottom: "layer8"
-  type: SOFTMAX
-}