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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; | |
} | |