syntax = "proto2";

package mediapipe;

import "mediapipe/framework/calculator.proto";

// Full Example:
//
// node {
//   calculator: "TfLiteConverterCalculator"
//   input_stream: "IMAGE_IN:input_image"
//   output_stream: "TENSOR_OUT:image_tensor"
//   options {
//     [mediapipe.TfLiteConverterCalculatorOptions.ext] {
//       zero_center: true
//     }
//   }
// }
//
message TfLiteConverterCalculatorOptions {
  extend mediapipe.CalculatorOptions {
    optional TfLiteConverterCalculatorOptions ext = 245817797;
  }

  // Choose normalization mode for output (not applied for Matrix inputs).
  // true = [-1,1]
  // false = [0,1]
  // Ignored if using quantization.
  optional bool zero_center = 1 [default = true];

  // Custom settings to override the internal scaling factors `div` and `sub`.
  // Both values must be set to non-negative values. Will only take effect on
  // CPU AND when |use_custom_normalization| is set to true. When these custom
  // values take effect, the |zero_center| setting above will be overriden, and
  // the normalized_value will be calculated as:
  // normalized_value = input / custom_div - custom_sub.
  optional bool use_custom_normalization = 6 [default = false];
  optional float custom_div = 7 [default = -1.0];
  optional float custom_sub = 8 [default = -1.0];

  // Whether the input image should be flipped vertically (along the
  // y-direction). This is useful, for example, when the input image is defined
  // with a coordinate system where the origin is at the bottom-left corner
  // (e.g., in OpenGL) whereas the ML model expects an image with a top-left
  // origin.
  optional bool flip_vertically = 2 [default = false];

  // Controls how many channels of the input image get passed through to the
  // tensor. Valid values are 1,3,4 only. Ignored for iOS GPU.
  optional int32 max_num_channels = 3 [default = 3];

  // The calculator expects Matrix inputs to be in column-major order. Set
  // row_major_matrix to true if the inputs are in row-major order.
  optional bool row_major_matrix = 4 [default = false];

  // Quantization option (CPU only).
  // When true, output kTfLiteUInt8 tensor instead of kTfLiteFloat32.
  optional bool use_quantized_tensors = 5 [default = false];

  // Normalization option.
  // Setting normalization_range results in the values normalized to
  // the range [output_tensor_float_range.min, output_tensor_float_range.max].
  optional TensorFloatRange output_tensor_float_range = 9;

  message TensorFloatRange {
    optional float min = 1;
    optional float max = 2;
  }
}