// Copyright 2023 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_CALCULATORS_TENSOR_TENSORS_TO_SEGMENTATION_CONVERTER_H_
#define MEDIAPIPE_CALCULATORS_TENSOR_TENSORS_TO_SEGMENTATION_CONVERTER_H_
#include <memory>
#include <vector>
#include "absl/status/statusor.h"
#include "mediapipe/framework/formats/image.h"
#include "mediapipe/framework/formats/tensor.h"
namespace mediapipe {
class TensorsToSegmentationConverter {
public:
virtual ~TensorsToSegmentationConverter() = default;
// Converts tensors to image mask.
// Returns a unique pointer containing the converted image.
// @input_tensors contains the tensors needed to be processed.
// @output_width/height describes output dimensions to reshape the output mask
// into.
virtual absl::StatusOr<std::unique_ptr<Image>> Convert(
const std::vector<Tensor>& input_tensors, int output_width,
int output_height) = 0;
};
} // namespace mediapipe
#endif // MEDIAPIPE_CALCULATORS_TENSOR_TENSORS_TO_SEGMENTATION_CONVERTER_H_