68 lines
		
	
	
		
			2.6 KiB
		
	
	
	
		
			Protocol Buffer
		
	
	
	
	
	
			
		
		
	
	
			68 lines
		
	
	
		
			2.6 KiB
		
	
	
	
		
			Protocol Buffer
		
	
	
	
	
	
// Copyright 2019 The MediaPipe Authors.
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//
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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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//
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//      http://www.apache.org/licenses/LICENSE-2.0
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//
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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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// A protocol buffer encoding one or several detections in an image. A detection
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// is defined by label and corresponding score, representing the classifier
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// confidence for the label, and location, representing the spatial extent of
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// the detection. All detections encoded by the protocol buffer relate to the
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// same image location.
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syntax = "proto2";
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package mediapipe;
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import "mediapipe/framework/formats/location_data.proto";
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option java_package = "com.google.mediapipe.formats.proto";
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option java_outer_classname = "DetectionProto";
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message Detection {
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  // i-th label or label_id has a score encoded by the i-th element in score.
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  repeated string label = 1;
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  repeated int32 label_id = 2 [packed = true];
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  repeated float score = 3 [packed = true];
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  // Location data corresponding to all detected labels above.
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  optional LocationData location_data = 4;
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  // Optional string to indicate the feature generation method. Useful in
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  // associating a name to the pipeline used to generate this detection.
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  optional string feature_tag = 5;
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  // Optional string to specify track_id if detection is part of a track.
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  optional string track_id = 6;
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  // Optional unique id to help associate different Detections to each other.
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  optional int64 detection_id = 7;
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  // Useful for associating a detection with other detections based on the
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  // detection_id. For example, this could be used to associate a face detection
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  // with a body detection when they belong to the same person.
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  message AssociatedDetection {
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    optional int32 id = 1;
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    optional float confidence = 2;
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  }
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  repeated AssociatedDetection associated_detections = 8;
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  // Human-readable string for display, intended for debugging purposes. The
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  // display name corresponds to the label (or label_id). This is optional.
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  repeated string display_name = 9;
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  // The timestamp (in microseconds) *at which* this detection was
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  // created/detected.
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  optional int64 timestamp_usec = 10;
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}
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// Group of Detection protos.
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message DetectionList {
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  repeated Detection detection = 1;
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}
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