79 lines
2.9 KiB
C++
79 lines
2.9 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "ChannelExtract.h"
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#include "arm_compute/core/Types.h"
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#include "tests/validation/Helpers.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace reference
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{
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template <typename T>
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SimpleTensor<uint8_t> channel_extract(const TensorShape &shape, const std::vector<SimpleTensor<T>> &tensor_planes, Format format, Channel channel)
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{
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// Find plane and channel index
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const unsigned int plane_idx = plane_idx_from_channel(format, channel);
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const unsigned int channel_idx = channel_idx_from_format(format, channel);
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// Create dst and get src tensor
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SimpleTensor<T> src = tensor_planes[plane_idx];
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SimpleTensor<T> dst{ calculate_subsampled_shape(shape, format, channel), Format::U8 };
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// Single planar formats with subsampling require a double horizontal step
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const int step_x = ((Format::YUYV422 == format || Format::UYVY422 == format) && Channel::Y != channel) ? 2 : 1;
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const int width = dst.shape().x();
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const int height = dst.shape().y();
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// Loop over each pixel and extract channel
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#if defined(_OPENMP)
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#pragma omp parallel for collapse(2)
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#endif /* _OPENMP */
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for(int y = 0; y < height; ++y)
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{
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for(int x = 0; x < width; ++x)
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{
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const Coordinates src_coord{ x * step_x, y };
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const Coordinates dst_coord{ x, y };
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const auto *src_pixel = reinterpret_cast<const T *>(src(src_coord));
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auto *dst_pixel = reinterpret_cast<T *>(dst(dst_coord));
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dst_pixel[0] = src_pixel[channel_idx]; // NOLINT
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}
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}
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return dst;
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}
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template SimpleTensor<uint8_t> channel_extract(const TensorShape &shape, const std::vector<SimpleTensor<uint8_t>> &tensor_planes, Format format, Channel channel);
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} // namespace reference
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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