49 lines
1.9 KiB
C++
49 lines
1.9 KiB
C++
// Copyright 2018 The MediaPipe Authors.
|
|
//
|
|
// 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.
|
|
|
|
#ifndef MEDIAPIPE_TENSORFLOW_UTIL_TENSOR_TO_DETECTION_H_
|
|
#define MEDIAPIPE_TENSORFLOW_UTIL_TENSOR_TO_DETECTION_H_
|
|
|
|
#include <map>
|
|
|
|
#include "absl/types/variant.h"
|
|
#include "mediapipe/framework/formats/detection.pb.h"
|
|
#include "mediapipe/framework/port/status.h"
|
|
#include "tensorflow/core/framework/tensor.h"
|
|
|
|
namespace mediapipe {
|
|
|
|
Detection TensorToDetection(
|
|
const ::tensorflow::TTypes<const float>::Vec& box, float score,
|
|
const ::absl::variant<int, std::string>& class_label);
|
|
|
|
::mediapipe::Status TensorsToDetections(
|
|
const ::tensorflow::Tensor& num_detections,
|
|
const ::tensorflow::Tensor& boxes, const ::tensorflow::Tensor& scores,
|
|
const ::tensorflow::Tensor& classes,
|
|
const std::map<int, std::string>& label_map,
|
|
std::vector<Detection>* detections);
|
|
|
|
// Use this version if keypoints or masks are available.
|
|
::mediapipe::Status TensorsToDetections(
|
|
const ::tensorflow::Tensor& num_detections,
|
|
const ::tensorflow::Tensor& boxes, const ::tensorflow::Tensor& scores,
|
|
const ::tensorflow::Tensor& classes, const ::tensorflow::Tensor& keypoints,
|
|
const ::tensorflow::Tensor& masks, float mask_threshold,
|
|
const std::map<int, std::string>& label_map,
|
|
std::vector<Detection>* detections);
|
|
} // namespace mediapipe
|
|
|
|
#endif // MEDIAPIPE_TENSORFLOW_UTIL_TENSOR_TO_DETECTION_H_
|