mediapipe/mediapipe/calculators/image/affine_transformation.h
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GitOrigin-RevId: 1610e588e497817fae2d9a458093ab6a370e2972
2021-08-18 17:45:46 -07:00

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// Copyright 2021 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_IMAGE_AFFINE_TRANSFORMATION_H_
#define MEDIAPIPE_CALCULATORS_IMAGE_AFFINE_TRANSFORMATION_H_
#include <array>
#include "absl/status/statusor.h"
namespace mediapipe {
class AffineTransformation {
public:
// Pixel extrapolation method.
// When converting image to tensor it may happen that tensor needs to read
// pixels outside image boundaries. Border mode helps to specify how such
// pixels will be calculated.
enum class BorderMode { kZero, kReplicate };
struct Size {
int width;
int height;
};
template <typename InputT, typename OutputT>
class Runner {
public:
virtual ~Runner() = default;
// Transforms input into output using @matrix as following:
// output(x, y) = input(matrix[0] * x + matrix[1] * y + matrix[3],
// matrix[4] * x + matrix[5] * y + matrix[7])
// where x and y ranges are defined by @output_size.
virtual absl::StatusOr<OutputT> Run(const InputT& input,
const std::array<float, 16>& matrix,
const Size& output_size,
BorderMode border_mode) = 0;
};
};
} // namespace mediapipe
#endif // MEDIAPIPE_CALCULATORS_IMAGE_AFFINE_TRANSFORMATION_H_