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/*
* Copyright (c) 2017-2020 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "ChannelCombine.h"
#include "arm_compute/core/Types.h"
#include "tests/validation/Helpers.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
namespace
{
template <typename T>
inline std::vector<SimpleTensor<T>> create_image_planes(const TensorShape &shape, Format format)
{
TensorShape image_shape = adjust_odd_shape(shape, format);
std::vector<SimpleTensor<T>> image_planes;
switch(format)
{
case Format::RGB888:
case Format::RGBA8888:
case Format::YUYV422:
case Format::UYVY422:
{
image_planes.emplace_back(image_shape, format);
break;
}
case Format::NV12:
case Format::NV21:
{
TensorShape shape_uv88 = calculate_subsampled_shape(image_shape, Format::UV88);
image_planes.emplace_back(image_shape, Format::U8);
image_planes.emplace_back(shape_uv88, Format::UV88);
break;
}
case Format::IYUV:
{
TensorShape shape_sub2 = calculate_subsampled_shape(image_shape, Format::IYUV);
image_planes.emplace_back(image_shape, Format::U8);
image_planes.emplace_back(shape_sub2, Format::U8);
image_planes.emplace_back(shape_sub2, Format::U8);
break;
}
case Format::YUV444:
{
image_planes.emplace_back(image_shape, Format::U8);
image_planes.emplace_back(image_shape, Format::U8);
image_planes.emplace_back(image_shape, Format::U8);
break;
}
default:
ARM_COMPUTE_ERROR("Not supported");
break;
}
return image_planes;
}
} // namespace
template <typename T>
std::vector<SimpleTensor<T>> channel_combine(const TensorShape &shape, const std::vector<SimpleTensor<T>> &image_planes, Format format)
{
std::vector<SimpleTensor<T>> dst = create_image_planes<T>(shape, format);
#if defined(_OPENMP)
#pragma omp parallel for
#endif /* _OPENMP */
for(unsigned int plane_idx = 0; plane_idx < dst.size(); ++plane_idx)
{
SimpleTensor<T> &dst_tensor = dst[plane_idx];
const uint32_t num_elements = dst_tensor.num_elements();
for(uint32_t element_idx = 0; element_idx < num_elements; ++element_idx)
{
Coordinates coord = index2coord(dst_tensor.shape(), element_idx);
switch(format)
{
case Format::RGB888:
case Format::RGBA8888:
{
// Copy R/G/B or A channel
for(int channel_idx = 0; channel_idx < dst_tensor.num_channels(); ++channel_idx)
{
const T &src_value = reinterpret_cast<const T *>(image_planes[channel_idx](coord))[0];
T &dst_value = reinterpret_cast<T *>(dst_tensor(coord))[channel_idx];
dst_value = src_value;
}
break;
}
case Format::YUYV422:
case Format::UYVY422:
{
// Find coordinates of the sub-sampled pixel
const Coordinates coord_hori(coord.x() / 2, coord.y());
const T &src0 = reinterpret_cast<const T *>(image_planes[0](coord))[0];
const T &src1 = reinterpret_cast<const T *>(image_planes[1](coord_hori))[0];
const int shift = (Format::YUYV422 == format) ? 1 : 0;
T &dst0 = reinterpret_cast<T *>(dst_tensor(coord))[1 - shift];
T &dst1 = reinterpret_cast<T *>(dst_tensor(coord))[0 + shift];
dst0 = src0;
dst1 = src1;
Coordinates coord2 = index2coord(dst_tensor.shape(), ++element_idx);
const T &src2 = reinterpret_cast<const T *>(image_planes[0](coord2))[0];
const T &src3 = reinterpret_cast<const T *>(image_planes[2](coord_hori))[0];
T &dst2 = reinterpret_cast<T *>(dst_tensor(coord2))[1 - shift];
T &dst3 = reinterpret_cast<T *>(dst_tensor(coord2))[0 + shift];
dst2 = src2;
dst3 = src3;
break;
}
case Format::NV12:
case Format::NV21:
{
if(0U == plane_idx)
{
// Get and combine Y channel from plane0 of destination multi-image
dst_tensor[element_idx] = image_planes[0][element_idx];
}
else
{
const int shift = (Format::NV12 == format) ? 0 : 1;
// Get U channel from plane1 and V channel from plane2 of the source
const T &src_u0 = reinterpret_cast<const T *>(image_planes[1](coord))[0];
const T &src_v0 = reinterpret_cast<const T *>(image_planes[2](coord))[0];
// Get U and V channel from plane1 of destination multi-image
T &dst_u0 = reinterpret_cast<T *>(dst_tensor(coord))[0 + shift];
T &dst_v0 = reinterpret_cast<T *>(dst_tensor(coord))[1 - shift];
// Combine channel U and V
dst_u0 = src_u0;
dst_v0 = src_v0;
}
break;
}
case Format::IYUV:
case Format::YUV444:
{
// Get Y/U/V element
const T &src = reinterpret_cast<const T *>(image_planes[plane_idx](coord))[0];
T &dst = reinterpret_cast<T *>(dst_tensor(coord))[0];
// Copy Y/U/V plane
dst = src;
break;
}
default:
ARM_COMPUTE_ERROR("Not supported");
break;
}
}
}
return dst;
}
template std::vector<SimpleTensor<uint8_t>> channel_combine(const TensorShape &shape, const std::vector<SimpleTensor<uint8_t>> &image_planes, Format format);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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