710fb3de58
GitOrigin-RevId: 1610e588e497817fae2d9a458093ab6a370e2972
56 lines
1.9 KiB
C++
56 lines
1.9 KiB
C++
// Copyright 2021 The MediaPipe Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifndef MEDIAPIPE_CALCULATORS_IMAGE_AFFINE_TRANSFORMATION_H_
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#define MEDIAPIPE_CALCULATORS_IMAGE_AFFINE_TRANSFORMATION_H_
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#include <array>
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#include "absl/status/statusor.h"
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namespace mediapipe {
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class AffineTransformation {
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public:
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// Pixel extrapolation method.
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// When converting image to tensor it may happen that tensor needs to read
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// pixels outside image boundaries. Border mode helps to specify how such
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// pixels will be calculated.
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enum class BorderMode { kZero, kReplicate };
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struct Size {
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int width;
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int height;
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};
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template <typename InputT, typename OutputT>
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class Runner {
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public:
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virtual ~Runner() = default;
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// Transforms input into output using @matrix as following:
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// output(x, y) = input(matrix[0] * x + matrix[1] * y + matrix[3],
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// matrix[4] * x + matrix[5] * y + matrix[7])
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// where x and y ranges are defined by @output_size.
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virtual absl::StatusOr<OutputT> Run(const InputT& input,
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const std::array<float, 16>& matrix,
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const Size& output_size,
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BorderMode border_mode) = 0;
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};
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};
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} // namespace mediapipe
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#endif // MEDIAPIPE_CALCULATORS_IMAGE_AFFINE_TRANSFORMATION_H_
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