1/* Copyright 2020 The TensorFlow Authors. All Rights Reserved. 2 3Licensed under the Apache License, Version 2.0 (the "License"); 4you may not use this file except in compliance with the License. 5You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9Unless required by applicable law or agreed to in writing, software 10distributed under the License is distributed on an "AS IS" BASIS, 11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12See the License for the specific language governing permissions and 13limitations under the License. 14==============================================================================*/ 15 16syntax = "proto2"; 17 18package tflite.task.vision; 19 20import "tensorflow_lite_support/cc/task/core/proto/external_file.proto"; 21 22// Options for setting up an ImageSegmenter. 23// Next Id: 8 24message ImageSegmenterOptions { 25 // The external model file, as a single standalone TFLite file. If it is 26 // packed with TFLite Model Metadata [1], those are used to populate label 27 // map. Models without any such metadata or partial metadata are supported, 28 // but may result in the segmenter providing degraded functionality; 29 // typically, a model that doesn't contain any label map won't be able to 30 // return any class or display names. 31 // 32 // [1]: https://www.tensorflow.org/lite/convert/metadata 33 optional core.ExternalFile model_file_with_metadata = 5; 34 35 // The locale to use for display names specified through the TFLite Model 36 // Metadata, if any. Defaults to English. 37 optional string display_names_locale = 6 [default = "en"]; 38 39 // Output mask type. This allows specifying the type of post-processing to 40 // perform on the raw model results (see SegmentationResult proto for more). 41 enum OutputType { 42 UNSPECIFIED = 0; 43 // Gives a single output mask where each pixel represents the class which 44 // the pixel in the original image was predicted to belong to. 45 CATEGORY_MASK = 1; 46 // Gives a list of output masks where, for each mask, each pixel represents 47 // the prediction confidence, usually in the [0, 1] range. 48 CONFIDENCE_MASK = 2; 49 } 50 // Optional output mask type. 51 optional OutputType output_type = 3 [default = CATEGORY_MASK]; 52 53 // The number of threads to be used for TFLite ops that support 54 // multi-threading when running inference with CPU. 55 // num_threads should be greater than 0 or equal to -1. Setting num_threads to 56 // -1 has the effect to let TFLite runtime set the value. 57 optional int32 num_threads = 7 [default = -1]; 58 59 // Reserved tags. 60 reserved 1, 2, 4; 61} 62