tensorflow_lite_support/cc/task/vision/proto/detections.proto

/* Copyright 2020 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 tflite.task.vision;

import "tensorflow_lite_support/cc/task/vision/proto/bounding_box.proto";
import "tensorflow_lite_support/cc/task/vision/proto/class.proto";

// A single detected object.
message Detection {
  // The bounding box.
  //
  // IMPORTANT: when using the Task APIs, the bounding box is expressed in the
  // unrotated input frame of reference coordinates system, i.e. in `[0,
  // frame_buffer.width) x [0, frame_buffer.height)`, which are the dimensions
  // of the underlying `frame_buffer` data before any `Orientation` flag gets
  // applied.
  //
  // In particular, this implies that the returned bounding boxes may not be
  // directly suitable for display if the input image is displayed *with* the
  // `Orientation` flag taken into account according to the EXIF specification
  // (http://jpegclub.org/exif_orientation.html): it may first need to be
  // rotated.
  //
  // For example, if the input `frame_buffer` has its `Orientation` flag set to
  // `kLeftBottom` (i.e. the image will be rotated 90° clockwise during
  // preprocessing to make it "upright"), then the same 90° clockwise rotation
  // needs to be applied to the bounding box for display.
  optional BoundingBox bounding_box = 2;
  // The candidate classes, sorted by descending score.
  repeated Class classes = 3;
  // Reserved tags.
  reserved 1, 4;
}

// List of detected objects.
message DetectionResult {
  repeated Detection detections = 1;
}