47 lines
1.7 KiB
Protocol Buffer
47 lines
1.7 KiB
Protocol Buffer
/* Copyright 2022 The MediaPipe Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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syntax = "proto2";
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package mediapipe.tasks.components.proto;
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option java_package = "com.google.mediapipe.tasks.components.proto";
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option java_outer_classname = "SegmenterOptionsProto";
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// Shared options used by image segmentation tasks.
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message SegmenterOptions {
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// Optional output mask type.
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enum OutputType {
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UNSPECIFIED = 0;
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// Gives a single output mask where each pixel represents the class which
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// the pixel in the original image was predicted to belong to.
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CATEGORY_MASK = 1;
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// Gives a list of output masks where, for each mask, each pixel represents
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// the prediction confidence, usually in the [0, 1] range.
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CONFIDENCE_MASK = 2;
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}
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// Optional output mask type.
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optional OutputType output_type = 1 [default = CATEGORY_MASK];
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// Supported activation functions for filtering.
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enum Activation {
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NONE = 0;
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SIGMOID = 1; // Assumes 1-channel input tensor.
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SOFTMAX = 2; // Assumes multi-channel input tensor.
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}
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// Activation function to apply to input tensor.
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optional Activation activation = 2 [default = NONE];
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}
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