// Copyright 2020 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

syntax = "proto3";

package google.cloud.aiplatform.v1beta1.schema.predict.prediction;

import "google/api/annotations.proto";

option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
option java_multiple_files = true;
option java_outer_classname = "ImageSegmentationPredictionResultProto";
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";

// Prediction output format for Image Segmentation.
message ImageSegmentationPredictionResult {
  // A PNG image where each pixel in the mask represents the category in which
  // the pixel in the original image was predicted to belong to. The size of
  // this image will be the same as the original image. The mapping between the
  // AnntoationSpec and the color can be found in model's metadata. The model
  // will choose the most likely category and if none of the categories reach
  // the confidence threshold, the pixel will be marked as background.
  string category_mask = 1;

  // A one channel image which is encoded as an 8bit lossless PNG. The size of
  // the image will be the same as the original image. For a specific pixel,
  // darker color means less confidence in correctness of the cateogry in the
  // categoryMask for the corresponding pixel. Black means no confidence and
  // white means complete confidence.
  string confidence_mask = 2;
}