Update Gesture Recognizer Graph Options protos.
PiperOrigin-RevId: 479141569
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					@ -102,8 +102,7 @@ Source<std::vector<Tensor>> ConvertMatrixToTensor(Source<Matrix> matrix,
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//
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					//
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// Example:
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					// Example:
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// node {
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					// node {
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//   calculator:
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					//   calculator: "mediapipe.tasks.vision.SingleHandGestureRecognizerGraph"
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//   "mediapipe.tasks.vision.gesture_recognizer.SingleHandGestureRecognizerGraph"
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//   input_stream: "HANDEDNESS:handedness"
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					//   input_stream: "HANDEDNESS:handedness"
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//   input_stream: "LANDMARKS:landmarks"
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					//   input_stream: "LANDMARKS:landmarks"
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//   input_stream: "WORLD_LANDMARKS:world_landmarks"
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					//   input_stream: "WORLD_LANDMARKS:world_landmarks"
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					@ -45,9 +45,23 @@ mediapipe_proto_library(
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    name = "hand_gesture_recognizer_graph_options_proto",
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					    name = "hand_gesture_recognizer_graph_options_proto",
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    srcs = ["hand_gesture_recognizer_graph_options.proto"],
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					    srcs = ["hand_gesture_recognizer_graph_options.proto"],
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    deps = [
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					    deps = [
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					        ":gesture_classifier_graph_options_proto",
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					        ":gesture_embedder_graph_options_proto",
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        "//mediapipe/framework:calculator_options_proto",
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					        "//mediapipe/framework:calculator_options_proto",
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        "//mediapipe/framework:calculator_proto",
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					        "//mediapipe/framework:calculator_proto",
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        "//mediapipe/tasks/cc/components/processors/proto:classifier_options_proto",
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					        "//mediapipe/tasks/cc/components/processors/proto:classifier_options_proto",
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        "//mediapipe/tasks/cc/core/proto:base_options_proto",
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					        "//mediapipe/tasks/cc/core/proto:base_options_proto",
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    ],
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					    ],
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)
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					)
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					mediapipe_proto_library(
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					    name = "gesture_recognizer_graph_options_proto",
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					    srcs = ["gesture_recognizer_graph_options.proto"],
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					    deps = [
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					        ":hand_gesture_recognizer_graph_options_proto",
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					        "//mediapipe/framework:calculator_options_proto",
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					        "//mediapipe/framework:calculator_proto",
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					        "//mediapipe/tasks/cc/core/proto:base_options_proto",
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					        "//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarker_graph_options_proto",
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					    ],
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					)
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					@ -0,0 +1,40 @@
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					/* 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.vision.gesture_recognizer.proto;
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					import "mediapipe/framework/calculator.proto";
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					import "mediapipe/tasks/cc/core/proto/base_options.proto";
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					import "mediapipe/tasks/cc/vision/gesture_recognizer/proto/hand_gesture_recognizer_graph_options.proto";
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					import "mediapipe/tasks/cc/vision/hand_landmarker/proto/hand_landmarker_graph_options.proto";
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					message GestureRecognizerGraphOptions {
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					  extend mediapipe.CalculatorOptions {
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					    optional GestureRecognizerGraphOptions ext = 478371831;
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					  }
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					  // Base options for configuring gesture recognizer graph, such as specifying
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					  // the TfLite model file with metadata, accelerator options, etc.
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					  optional core.proto.BaseOptions base_options = 1;
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					  // Options for configuring hand landmarker subgraph.
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					  optional hand_landmarker.proto.HandLandmarkerGraphOptions
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					      hand_landmarker_graph_options = 2;
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					  // Options for configuring hand gesture recognizer graph.
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					  optional HandGestureRecognizerGraphOptions
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					      hand_gesture_recognizer_graph_options = 3;
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					}
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					@ -20,6 +20,8 @@ package mediapipe.tasks.vision.gesture_recognizer.proto;
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import "mediapipe/framework/calculator.proto";
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					import "mediapipe/framework/calculator.proto";
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import "mediapipe/tasks/cc/components/processors/proto/classifier_options.proto";
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					import "mediapipe/tasks/cc/components/processors/proto/classifier_options.proto";
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import "mediapipe/tasks/cc/core/proto/base_options.proto";
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					import "mediapipe/tasks/cc/core/proto/base_options.proto";
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					import "mediapipe/tasks/cc/vision/gesture_recognizer/proto/gesture_classifier_graph_options.proto";
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					import "mediapipe/tasks/cc/vision/gesture_recognizer/proto/gesture_embedder_graph_options.proto";
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message HandGestureRecognizerGraphOptions {
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					message HandGestureRecognizerGraphOptions {
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  extend mediapipe.CalculatorOptions {
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					  extend mediapipe.CalculatorOptions {
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					@ -29,11 +31,18 @@ message HandGestureRecognizerGraphOptions {
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  // specifying the TfLite model file with metadata, accelerator options, etc.
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					  // specifying the TfLite model file with metadata, accelerator options, etc.
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  optional core.proto.BaseOptions base_options = 1;
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					  optional core.proto.BaseOptions base_options = 1;
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  // Options for configuring the gesture classifier behavior, such as score
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					  // Options for GestureEmbedder.
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  // threshold, number of results, etc.
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					  optional GestureEmbedderGraphOptions gesture_embedder_graph_options = 2;
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  optional components.processors.proto.ClassifierOptions classifier_options = 2;
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  // Minimum confidence value ([0.0, 1.0]) for the hand landmarks to be
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					  // Options for GestureClassifier of default gestures.
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  // considered tracked successfully
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					  optional GestureClassifierGraphOptions
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  optional float min_tracking_confidence = 3 [default = 0.0];
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					      canned_gesture_classifier_graph_options = 3;
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					  // Options for GestureClassifier of custom gestures.
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					  optional GestureClassifierGraphOptions
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					      custom_gesture_classifier_graph_options = 4;
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					  // TODO: remove these. Temporary solutions before bundle asset is
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					  // ready.
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					  optional components.processors.proto.ClassifierOptions classifier_options = 5;
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}
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					}
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