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image_segmentation.proto
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image_segmentation.proto
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// Copyright 2021 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.v1.schema.predict.prediction;
option csharp_namespace = "Google.Cloud.AIPlatform.V1.Schema.Predict.Prediction";
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
option java_multiple_files = true;
option java_outer_classname = "ImageSegmentationPredictionResultProto";
option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
option php_namespace = "Google\\Cloud\\AIPlatform\\V1\\Schema\\Predict\\Prediction";
option ruby_package = "Google::Cloud::AIPlatform::V1::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;
}