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| /* Copyright 2019 The TensorFlow Authors. All Rights Reserved. | |
| 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 = "proto2"; | |
| package lstm_object_detection.tflite.protos; | |
| import "protos/box_encodings.proto"; | |
| // DetectionResults is a list of Detection. | |
| message DetectionResults { | |
| repeated Detection detection = 1; | |
| } | |
| // Detection consists of a bounding box, class confidences and indices. | |
| message Detection { | |
| // Each detection message consists of only one bounding box. | |
| optional BoxCornerEncoding box = 1; | |
| // A box can be associated with multiple confidences for multiple classes. | |
| repeated float score = 2; | |
| repeated int32 class_index = 3; | |
| // Optional, for readability and easier access for external modules. | |
| // A unique name that identifies the class, e.g. a MID. | |
| repeated string class_name = 4; | |
| // A human readable name of the class. | |
| repeated string display_name = 5; | |
| } | |