message: Fix documentation of image size for inception-v3 (299 * 299)
diff: @@ -91,7 +91,7 @@ Currently, we only support building the Android demo app within a Python 2
  environment (due to a Bazel bug).
  ### More about the demo
  -The demo is resizing each camera image frame to (224 width * 224 height) to match the quantized Mobilenet model being used (229 * 229 for Inception-v3). The resized image is converted into a ByteBuffer row by row of size 1 * 224 * 224 * 3 bytes, where 1 is the number of images in a batch. 224 * 224 (299 * 299) is the width and height of the image. 3 bytes represents three colors of a pixel. This demo uses the TensorFlow Lite Java inference API for models which take a single input and provide a single output. This outputs a two-dimensional array, with the first dimension being the category index and the second dimension being the confidence of classification. Both models have 1001 unique categories and the app sorts the probabilities of all the categories and displays the top three. The model file must be downloaded and bundled within the assets directory of the app.
  +The demo is resizing each camera image frame to (224 width * 224 height) to match the quantized Mobilenet model being used (299 * 299 for Inception-v3). The resized image is converted into a ByteBuffer row by row of size 1 * 224 * 224 * 3 bytes, where 1 is the number of images in a batch. 224 * 224 (299 * 299) is the width and height of the image. 3 bytes represents three colors of a pixel. This demo uses the TensorFlow Lite Java inference API for models which take a single input and provide a single output. This outputs a two-dimensional array, with the first dimension being the category index and the second dimension being the confidence of classification. Both models have 1001 unique categories and the app sorts the probabilities of all the categories and displays the top three. The model file must be downloaded and bundled within the assets directory of the app.
  # iOS Demo App
  