62 lines
2.5 KiB
C++
62 lines
2.5 KiB
C++
// 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_TENSOR_CONVERTER_CPU_H_
|
|
#define MEDIAPIPE_CALCULATORS_TENSOR_TENSOR_CONVERTER_CPU_H_
|
|
|
|
#include <utility>
|
|
|
|
#include "absl/status/status.h"
|
|
#include "absl/status/statusor.h"
|
|
#include "mediapipe/framework/formats/image_frame.h"
|
|
#include "mediapipe/framework/formats/matrix.h"
|
|
#include "mediapipe/framework/formats/tensor.h"
|
|
|
|
namespace mediapipe {
|
|
|
|
// Converts an ImageFrame to a vector of Tensors.
|
|
// @flip_vertically enables to flip the image during conversion.
|
|
// @max_num_channels can be used to reserve extra channels in the output
|
|
// tensors.
|
|
// Returns output Tensor.
|
|
absl::StatusOr<Tensor> ConvertImageFrameToTensorOnCpu(
|
|
const ImageFrame& image_frame, const std::pair<float, float>& output_range,
|
|
bool flip_vertically, int max_num_channels);
|
|
|
|
// Converts a Matrix to a vector of Tensors.
|
|
// @row_major_matrix defines the ordering in the input matrix.
|
|
// @max_num_channels can be used to reserve extra channels in the output
|
|
// tensors.
|
|
// Returns output Tensor.
|
|
absl::StatusOr<Tensor> ConvertMatrixToTensorOnCpu(const Matrix& matrix,
|
|
bool row_major_matrix);
|
|
|
|
// For testing only below.
|
|
absl::Status NormalizeUInt8Image(const ImageFrame& image_frame,
|
|
bool flip_vertically,
|
|
const std::pair<float, float>& output_range,
|
|
int max_num_channels, float* tensor_ptr);
|
|
|
|
absl::Status NormalizeFloatImage(const ImageFrame& image_frame,
|
|
bool flip_vertically,
|
|
const std::pair<float, float>& output_range,
|
|
int max_num_channels, float* tensor_ptr);
|
|
|
|
absl::Status CopyMatrixToTensor(const Matrix& matrix, bool is_row_major_matrix,
|
|
float* tensor_ptr);
|
|
|
|
} // namespace mediapipe
|
|
|
|
#endif // MEDIAPIPE_CALCULATORS_TENSOR_TENSOR_CONVERTER_CPU_H_
|