message: Update instruction page to include sample quantized FPNLite model.
diff: @@ -23,7 +23,7 @@ Note: all commands should be called from your tensorflow installation folder (un
  * Download the [testdata package](https://storage.googleapis.com/download.tensorflow.org/data/ovic_2018_10_23.zip):
  ```sh
  -curl -L https://storage.googleapis.com/download.tensorflow.org/data/ovic_2018_10_23.zip -o /tmp/ovic.zip
  +curl -L https://storage.googleapis.com/download.tensorflow.org/data/ovic_2019_04_30.zip -o /tmp/ovic.zip
  ```
  * Unzip the package into the testdata folder:
  @@ -185,6 +185,7 @@ Note: the benchmarking results can be quite different depending on the backgroun
  | -------------------- |:---------------------:|
  | detect.lite | 331 |
  | quantized_detect.lite | 95 |
  +| quantized_fpnlite.lite | 119 |
  Since Pixel 2 has excellent support for 8-bit quantized models, we strongly recommend you to check out the [quantization training tutorial](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/quantize).
  