diff --git a/GestureRecognition/frozen_inference_graph.pb b/GestureRecognition/frozen_inference_graph.pb
new file mode 100644
index 0000000..0be3459
Binary files /dev/null and b/GestureRecognition/frozen_inference_graph.pb differ
diff --git a/GestureRecognition/graph.pbtxt b/GestureRecognition/graph.pbtxt
new file mode 100644
index 0000000..8c3a660
--- /dev/null
+++ b/GestureRecognition/graph.pbtxt
@@ -0,0 +1,3146 @@
+node {
+  name: "image_tensor"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_UINT8
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: -1
+        }
+        dim {
+          size: -1
+        }
+        dim {
+          size: -1
+        }
+        dim {
+          size: 3
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Preprocessor/mul"
+  op: "Mul"
+  input: "image_tensor"
+  input: "Preprocessor/mul/x"
+}
+node {
+  name: "Preprocessor/sub"
+  op: "Sub"
+  input: "Preprocessor/mul"
+  input: "Preprocessor/sub/y"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/convolution"
+  op: "Conv2D"
+  input: "Preprocessor/sub"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_0/weights"
+  input: "^FeatureExtractor/Assert/Assert"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
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+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
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+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
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+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
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+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
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+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "BoxPredictor_0/ClassPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6"
+  input: "BoxPredictor_0/ClassPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_0/ClassPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_0/ClassPredictor/convolution"
+  input: "BoxPredictor_0/ClassPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "BoxPredictor_0/BoxEncodingPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6"
+  input: "BoxPredictor_0/BoxEncodingPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "loc_pred_transposed"
+    value {
+      b: true
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_0/BoxEncodingPredictor/convolution"
+  input: "BoxPredictor_0/BoxEncodingPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise"
+  op: "DepthwiseConv2dNative"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/depthwise_weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "BoxPredictor_1/ClassPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6"
+  input: "BoxPredictor_1/ClassPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_1/ClassPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_1/ClassPredictor/convolution"
+  input: "BoxPredictor_1/ClassPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "BoxPredictor_1/BoxEncodingPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6"
+  input: "BoxPredictor_1/BoxEncodingPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "loc_pred_transposed"
+    value {
+      b: true
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_1/BoxEncodingPredictor/convolution"
+  input: "BoxPredictor_1/BoxEncodingPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/concat"
+  op: "ConcatV2"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/Relu6"
+  input: "FeatureExtractor/MobilenetV1/concat/axis"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/concat_1"
+  op: "ConcatV2"
+  input: "FeatureExtractor/MobilenetV1/concat"
+  input: "FeatureExtractor/MobilenetV1/concat_1/axis"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/concat_1"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "BoxPredictor_2/ClassPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6"
+  input: "BoxPredictor_2/ClassPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_2/ClassPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_2/ClassPredictor/convolution"
+  input: "BoxPredictor_2/ClassPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "BoxPredictor_2/BoxEncodingPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6"
+  input: "BoxPredictor_2/BoxEncodingPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "loc_pred_transposed"
+    value {
+      b: true
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_2/BoxEncodingPredictor/convolution"
+  input: "BoxPredictor_2/BoxEncodingPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/concat_2"
+  op: "ConcatV2"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/Relu6"
+  input: "FeatureExtractor/MobilenetV1/concat_2/axis"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/concat_3"
+  op: "ConcatV2"
+  input: "FeatureExtractor/MobilenetV1/concat_2"
+  input: "FeatureExtractor/MobilenetV1/concat_3/axis"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/concat_3"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "BoxPredictor_3/ClassPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6"
+  input: "BoxPredictor_3/ClassPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_3/ClassPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_3/ClassPredictor/convolution"
+  input: "BoxPredictor_3/ClassPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "BoxPredictor_3/BoxEncodingPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6"
+  input: "BoxPredictor_3/BoxEncodingPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "loc_pred_transposed"
+    value {
+      b: true
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_3/BoxEncodingPredictor/convolution"
+  input: "BoxPredictor_3/BoxEncodingPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/concat_4"
+  op: "ConcatV2"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/Relu6"
+  input: "FeatureExtractor/MobilenetV1/concat_4/axis"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/concat_5"
+  op: "ConcatV2"
+  input: "FeatureExtractor/MobilenetV1/concat_4"
+  input: "FeatureExtractor/MobilenetV1/concat_5/axis"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/concat_5"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "BoxPredictor_4/ClassPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6"
+  input: "BoxPredictor_4/ClassPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_4/ClassPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_4/ClassPredictor/convolution"
+  input: "BoxPredictor_4/ClassPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "BoxPredictor_4/BoxEncodingPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6"
+  input: "BoxPredictor_4/BoxEncodingPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "loc_pred_transposed"
+    value {
+      b: true
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_4/BoxEncodingPredictor/convolution"
+  input: "BoxPredictor_4/BoxEncodingPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/concat_6"
+  op: "ConcatV2"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/Relu6"
+  input: "FeatureExtractor/MobilenetV1/concat_6/axis"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/concat_7"
+  op: "ConcatV2"
+  input: "FeatureExtractor/MobilenetV1/concat_6"
+  input: "FeatureExtractor/MobilenetV1/concat_7/axis"
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/concat_7"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/convolution"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/beta"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_mean"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_variance"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+}
+node {
+  name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/Relu6"
+  op: "Relu6"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm"
+}
+node {
+  name: "BoxPredictor_5/ClassPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/Relu6"
+  input: "BoxPredictor_5/ClassPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_5/ClassPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_5/ClassPredictor/convolution"
+  input: "BoxPredictor_5/ClassPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "BoxPredictor_5/BoxEncodingPredictor/convolution"
+  op: "Conv2D"
+  input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/Relu6"
+  input: "BoxPredictor_5/BoxEncodingPredictor/weights"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "loc_pred_transposed"
+    value {
+      b: true
+    }
+  }
+  attr {
+    key: "padding"
+    value {
+      s: "SAME"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd"
+  op: "BiasAdd"
+  input: "BoxPredictor_5/BoxEncodingPredictor/convolution"
+  input: "BoxPredictor_5/BoxEncodingPredictor/biases"
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "concat/axis_flatten"
+  op: "Const"
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        int_val: -1
+        tensor_shape {
+          dim {
+            size: 1
+          }
+        }
+      }
+    }
+  }
+}
+node {
+  name: "BoxPredictor_0/ClassPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_0/ClassPredictor/BiasAdd"
+}
+node {
+  name: "BoxPredictor_1/ClassPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_1/ClassPredictor/BiasAdd"
+}
+node {
+  name: "BoxPredictor_2/ClassPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_2/ClassPredictor/BiasAdd"
+}
+node {
+  name: "BoxPredictor_3/ClassPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_3/ClassPredictor/BiasAdd"
+}
+node {
+  name: "BoxPredictor_4/ClassPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_4/ClassPredictor/BiasAdd"
+}
+node {
+  name: "BoxPredictor_5/ClassPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_5/ClassPredictor/BiasAdd"
+}
+node {
+  name: "ClassPredictor/concat"
+  op: "ConcatV2"
+  input: "BoxPredictor_0/ClassPredictor/BiasAdd/Flatten"
+  input: "BoxPredictor_1/ClassPredictor/BiasAdd/Flatten"
+  input: "BoxPredictor_2/ClassPredictor/BiasAdd/Flatten"
+  input: "BoxPredictor_3/ClassPredictor/BiasAdd/Flatten"
+  input: "BoxPredictor_4/ClassPredictor/BiasAdd/Flatten"
+  input: "BoxPredictor_5/ClassPredictor/BiasAdd/Flatten"
+  input: "concat/axis_flatten"
+}
+node {
+  name: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd"
+}
+node {
+  name: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd"
+}
+node {
+  name: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd"
+}
+node {
+  name: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd"
+}
+node {
+  name: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd"
+}
+node {
+  name: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd/Flatten"
+  op: "Flatten"
+  input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd"
+}
+node {
+  name: "BoxEncodingPredictor/concat"
+  op: "ConcatV2"
+  input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd/Flatten"
+  input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd/Flatten"
+  input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd/Flatten"
+  input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd/Flatten"
+  input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd/Flatten"
+  input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd/Flatten"
+  input: "concat/axis_flatten"
+}
+node {
+  name: "PriorBox_0"
+  op: "PriorBox"
+  input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd"
+  input: "image_tensor"
+  attr {
+    key: "clip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "flip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "height"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 30.0
+        float_val: 42.42640750334631
+        float_val: 84.85281500669262
+        tensor_shape {
+          dim {
+            size: 3
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "variance"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 0.1
+        float_val: 0.1
+        float_val: 0.2
+        float_val: 0.2
+        tensor_shape {
+          dim {
+            size: 4
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "width"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 30.0
+        float_val: 84.85281500669265
+        float_val: 42.426407503346326
+        tensor_shape {
+          dim {
+            size: 3
+          }
+        }
+      }
+    }
+  }
+}
+node {
+  name: "PriorBox_1"
+  op: "PriorBox"
+  input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd"
+  input: "image_tensor"
+  attr {
+    key: "clip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "flip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "height"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 104.99999999994
+        float_val: 74.24621202454506
+        float_val: 148.49242404909012
+        float_val: 60.62177826487607
+        float_val: 181.87443025249192
+        float_val: 125.49900360603824
+        tensor_shape {
+          dim {
+            size: 6
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "variance"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 0.1
+        float_val: 0.1
+        float_val: 0.2
+        float_val: 0.2
+        tensor_shape {
+          dim {
+            size: 4
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "width"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 104.99999999994
+        float_val: 148.49242404909015
+        float_val: 74.24621202454507
+        float_val: 181.8653347946282
+        float_val: 60.61874659720808
+        float_val: 125.49900360603824
+        tensor_shape {
+          dim {
+            size: 6
+          }
+        }
+      }
+    }
+  }
+}
+node {
+  name: "PriorBox_2"
+  op: "PriorBox"
+  input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd"
+  input: "image_tensor"
+  attr {
+    key: "clip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "flip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "height"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 149.99999910588
+        float_val: 106.06601654574379
+        float_val: 212.13203309148759
+        float_val: 86.60253986222344
+        float_val: 259.8206130978267
+        float_val: 171.02631247097506
+        tensor_shape {
+          dim {
+            size: 6
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "variance"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 0.1
+        float_val: 0.1
+        float_val: 0.2
+        float_val: 0.2
+        tensor_shape {
+          dim {
+            size: 4
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "width"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 149.99999910588
+        float_val: 212.1320330914876
+        float_val: 106.0660165457438
+        float_val: 259.8076195866703
+        float_val: 86.59820890843783
+        float_val: 171.02631247097506
+        tensor_shape {
+          dim {
+            size: 6
+          }
+        }
+      }
+    }
+  }
+}
+node {
+  name: "PriorBox_3"
+  op: "PriorBox"
+  input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd"
+  input: "image_tensor"
+  attr {
+    key: "clip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "flip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "height"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 194.99999821182
+        float_val: 137.88582106694255
+        float_val: 275.7716421338851
+        float_val: 112.58330145957083
+        float_val: 337.7667959431616
+        float_val: 216.3330743270663
+        tensor_shape {
+          dim {
+            size: 6
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "variance"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 0.1
+        float_val: 0.1
+        float_val: 0.2
+        float_val: 0.2
+        tensor_shape {
+          dim {
+            size: 4
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "width"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 194.99999821182
+        float_val: 275.77164213388517
+        float_val: 137.88582106694258
+        float_val: 337.7499043787124
+        float_val: 112.57767121966761
+        float_val: 216.3330743270663
+        tensor_shape {
+          dim {
+            size: 6
+          }
+        }
+      }
+    }
+  }
+}
+node {
+  name: "PriorBox_4"
+  op: "PriorBox"
+  input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd"
+  input: "image_tensor"
+  attr {
+    key: "clip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "flip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "height"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 239.99999731775998
+        float_val: 169.7056255881413
+        float_val: 339.4112511762826
+        float_val: 138.5640630569182
+        float_val: 415.71297878849646
+        float_val: 261.5339335100698
+        tensor_shape {
+          dim {
+            size: 6
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "variance"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 0.1
+        float_val: 0.1
+        float_val: 0.2
+        float_val: 0.2
+        tensor_shape {
+          dim {
+            size: 4
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "width"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 239.99999731775998
+        float_val: 339.41125117628263
+        float_val: 169.70562558814132
+        float_val: 415.69218917075455
+        float_val: 138.55713353089737
+        float_val: 261.5339335100698
+        tensor_shape {
+          dim {
+            size: 6
+          }
+        }
+      }
+    }
+  }
+}
+node {
+  name: "PriorBox_5"
+  op: "PriorBox"
+  input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd"
+  input: "image_tensor"
+  attr {
+    key: "clip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "flip"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "height"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 284.9999964237
+        float_val: 201.52543010934002
+        float_val: 403.05086021868004
+        float_val: 164.5448246542656
+        float_val: 493.6591616338313
+        float_val: 292.40382850966574
+        tensor_shape {
+          dim {
+            size: 6
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "variance"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 0.1
+        float_val: 0.1
+        float_val: 0.2
+        float_val: 0.2
+        tensor_shape {
+          dim {
+            size: 4
+          }
+        }
+      }
+    }
+  }
+  attr {
+    key: "width"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        float_val: 284.9999964237
+        float_val: 403.05086021868016
+        float_val: 201.52543010934008
+        float_val: 493.6344739627967
+        float_val: 164.53659584212716
+        float_val: 292.40382850966574
+        tensor_shape {
+          dim {
+            size: 6
+          }
+        }
+      }
+    }
+  }
+}
+node {
+  name: "PriorBox/concat"
+  op: "ConcatV2"
+  input: "PriorBox_0"
+  input: "PriorBox_1"
+  input: "PriorBox_2"
+  input: "PriorBox_3"
+  input: "PriorBox_4"
+  input: "PriorBox_5"
+  input: "concat/axis_flatten"
+}
+node {
+  name: "ClassPredictor/concat/sigmoid"
+  op: "Sigmoid"
+  input: "ClassPredictor/concat"
+}
+node {
+  name: "detection_out"
+  op: "DetectionOutput"
+  input: "BoxEncodingPredictor/concat"
+  input: "ClassPredictor/concat/sigmoid"
+  input: "PriorBox/concat"
+  attr {
+    key: "background_label_id"
+    value {
+      i: 0
+    }
+  }
+  attr {
+    key: "code_type"
+    value {
+      s: "CENTER_SIZE"
+    }
+  }
+  attr {
+    key: "confidence_threshold"
+    value {
+      f: 0.01
+    }
+  }
+  attr {
+    key: "keep_top_k"
+    value {
+      i: 100
+    }
+  }
+  attr {
+    key: "nms_threshold"
+    value {
+      f: 0.6
+    }
+  }
+  attr {
+    key: "num_classes"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "share_location"
+    value {
+      b: true
+    }
+  }
+  attr {
+    key: "top_k"
+    value {
+      i: 100
+    }
+  }
+}
diff --git a/Web/areyousatisfied.html b/Web/areyousatisfied.html
index a934ed5..de5f7a1 100644
--- a/Web/areyousatisfied.html
+++ b/Web/areyousatisfied.html
@@ -2,7 +2,7 @@
 
 <html>
 <header>
-        <script src="js/bootstrap.min.js"></script>
+        <!-- <script src="js/bootstrap.min.js"></script> -->
         <script src="js/paho.javascript-1.0.3/paho-mqtt-min.js"></script>
         <script src="js/msgpack.min.js"></script>
         <link rel="stylesheet" href="css/bootstrap.min.css" />
@@ -21,6 +21,21 @@
                 <button id="noButton" class="big-button" style="display: none">no :`(</button>
             </div>
         </div>
+        <div class="row">
+            <div class="col-sm-6">
+                    <div class="camera">
+                        <video id="video">Video stream not available.</video>
+                        <button id="startbutton">Take photo</button>
+                    </div>
+            </div>
+        </div>
+        <div class="row">
+                <canvas id="canvas">
+                </canvas>
+                <div class="output">
+                    <img id="photo" alt="The screen capture will appear in this box.">
+                </div>
+        </div>
     </div>
     <script src="js/areyousatisfied.js"></script>
 </body>
diff --git a/Web/js/ballotvoter.js b/Web/js/ballotvoter.js
index 3d7fba1..c99dfce 100644
--- a/Web/js/ballotvoter.js
+++ b/Web/js/ballotvoter.js
@@ -3,10 +3,12 @@ class MqttMessenger{
 };
 
 class BallotVoter{
-    constructor(onVote, messenger) {
-        this.cfg = ""; //load the configuration file.
+    constructor(onVote, messenger, host) {
+        // Not using a configuration file.
         this.messenger = messenger;
-
+        this.host = host;
+        this.swarm = "swarm";
+        
     };
 
     onConnect(){
@@ -17,5 +19,12 @@ class BallotVoter{
     onMessage(message){
         print("Message Received");
         // Unpack the message.
+        messageb = message.payloadBytes;
+        var messageD = msgpack.decode(message.payloadBytes)
+        console.log(messageD)
+        if(messageD["type"] == "reqvote"){
+            console.log("Received vote message");
+            submit_vote();
+        }
     };
 };
\ No newline at end of file