Ioan-Cristian Szabo | ae3c8ab | 2017-11-16 17:55:03 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017-2018 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "ChannelCombine.h" |
| 25 | |
| 26 | #include "arm_compute/core/Types.h" |
| 27 | #include "tests/validation/FixedPoint.h" |
| 28 | #include "tests/validation/Helpers.h" |
| 29 | |
| 30 | namespace arm_compute |
| 31 | { |
| 32 | namespace test |
| 33 | { |
| 34 | namespace validation |
| 35 | { |
| 36 | namespace reference |
| 37 | { |
| 38 | namespace |
| 39 | { |
| 40 | template <typename T> |
| 41 | inline std::vector<SimpleTensor<T>> create_image_planes(const TensorShape &shape, Format format) |
| 42 | { |
| 43 | TensorShape image_shape = adjust_odd_shape(shape, format); |
| 44 | |
| 45 | std::vector<SimpleTensor<T>> image_planes; |
| 46 | |
| 47 | switch(format) |
| 48 | { |
| 49 | case Format::RGB888: |
| 50 | case Format::RGBA8888: |
| 51 | case Format::YUYV422: |
| 52 | case Format::UYVY422: |
| 53 | { |
| 54 | image_planes.emplace_back(image_shape, format); |
| 55 | break; |
| 56 | } |
| 57 | case Format::NV12: |
| 58 | case Format::NV21: |
| 59 | { |
| 60 | TensorShape shape_uv88 = calculate_subsampled_shape(image_shape, Format::UV88); |
| 61 | |
| 62 | image_planes.emplace_back(image_shape, Format::U8); |
| 63 | image_planes.emplace_back(shape_uv88, Format::UV88); |
| 64 | break; |
| 65 | } |
| 66 | case Format::IYUV: |
| 67 | { |
| 68 | TensorShape shape_sub2 = calculate_subsampled_shape(image_shape, Format::IYUV); |
| 69 | |
| 70 | image_planes.emplace_back(image_shape, Format::U8); |
| 71 | image_planes.emplace_back(shape_sub2, Format::U8); |
| 72 | image_planes.emplace_back(shape_sub2, Format::U8); |
| 73 | break; |
| 74 | } |
| 75 | case Format::YUV444: |
| 76 | { |
| 77 | image_planes.emplace_back(image_shape, Format::U8); |
| 78 | image_planes.emplace_back(image_shape, Format::U8); |
| 79 | image_planes.emplace_back(image_shape, Format::U8); |
| 80 | break; |
| 81 | } |
| 82 | default: |
| 83 | ARM_COMPUTE_ERROR("Not supported"); |
| 84 | break; |
| 85 | } |
| 86 | |
| 87 | return image_planes; |
| 88 | } |
| 89 | } // namespace |
| 90 | |
| 91 | template <typename T> |
| 92 | std::vector<SimpleTensor<T>> channel_combine(const TensorShape &shape, const std::vector<SimpleTensor<T>> &image_planes, Format format) |
| 93 | { |
| 94 | std::vector<SimpleTensor<T>> dst = create_image_planes<T>(shape, format); |
| 95 | |
| 96 | for(unsigned int plane_idx = 0; plane_idx < dst.size(); ++plane_idx) |
| 97 | { |
| 98 | SimpleTensor<T> &dst_tensor = dst[plane_idx]; |
| 99 | |
| 100 | for(int element_idx = 0; element_idx < dst_tensor.num_elements(); ++element_idx) |
| 101 | { |
| 102 | Coordinates coord = index2coord(dst_tensor.shape(), element_idx); |
| 103 | |
| 104 | switch(format) |
| 105 | { |
| 106 | case Format::RGB888: |
| 107 | case Format::RGBA8888: |
| 108 | { |
| 109 | // Copy R/G/B or A channel |
| 110 | for(int channel_idx = 0; channel_idx < dst_tensor.num_channels(); ++channel_idx) |
| 111 | { |
| 112 | const T &src_value = reinterpret_cast<const T *>(image_planes[channel_idx](coord))[0]; |
| 113 | T &dst_value = reinterpret_cast<T *>(dst_tensor(coord))[channel_idx]; |
| 114 | |
| 115 | dst_value = src_value; |
| 116 | } |
| 117 | break; |
| 118 | } |
| 119 | case Format::YUYV422: |
| 120 | case Format::UYVY422: |
| 121 | { |
| 122 | // Find coordinates of the sub-sampled pixel |
| 123 | const Coordinates coord_hori(coord.x() / 2, coord.y()); |
| 124 | |
| 125 | const T &src0 = reinterpret_cast<const T *>(image_planes[0](coord))[0]; |
| 126 | const T &src1 = reinterpret_cast<const T *>(image_planes[1](coord_hori))[0]; |
| 127 | |
| 128 | const int shift = (Format::YUYV422 == format) ? 1 : 0; |
| 129 | T &dst0 = reinterpret_cast<T *>(dst_tensor(coord))[1 - shift]; |
| 130 | T &dst1 = reinterpret_cast<T *>(dst_tensor(coord))[0 + shift]; |
| 131 | |
| 132 | dst0 = src0; |
| 133 | dst1 = src1; |
| 134 | |
| 135 | Coordinates coord2 = index2coord(dst_tensor.shape(), ++element_idx); |
| 136 | |
| 137 | const T &src2 = reinterpret_cast<const T *>(image_planes[0](coord2))[0]; |
| 138 | const T &src3 = reinterpret_cast<const T *>(image_planes[2](coord_hori))[0]; |
| 139 | |
| 140 | T &dst2 = reinterpret_cast<T *>(dst_tensor(coord2))[1 - shift]; |
| 141 | T &dst3 = reinterpret_cast<T *>(dst_tensor(coord2))[0 + shift]; |
| 142 | |
| 143 | dst2 = src2; |
| 144 | dst3 = src3; |
| 145 | |
| 146 | break; |
| 147 | } |
| 148 | case Format::NV12: |
| 149 | case Format::NV21: |
| 150 | { |
| 151 | if(0U == plane_idx) |
| 152 | { |
| 153 | // Get and combine Y channel from plane0 of destination multi-image |
| 154 | dst_tensor[element_idx] = image_planes[0][element_idx]; |
| 155 | } |
| 156 | else |
| 157 | { |
| 158 | const int shift = (Format::NV12 == format) ? 0 : 1; |
| 159 | |
| 160 | // Get U channel from plane1 and V channel from plane2 of the source |
| 161 | const T &src_u0 = reinterpret_cast<const T *>(image_planes[1](coord))[0]; |
| 162 | const T &src_v0 = reinterpret_cast<const T *>(image_planes[2](coord))[0]; |
| 163 | |
| 164 | // Get U and V channel from plane1 of destination multi-image |
| 165 | T &dst_u0 = reinterpret_cast<T *>(dst_tensor(coord))[0 + shift]; |
| 166 | T &dst_v0 = reinterpret_cast<T *>(dst_tensor(coord))[1 - shift]; |
| 167 | |
| 168 | // Combine channel U and V |
| 169 | dst_u0 = src_u0; |
| 170 | dst_v0 = src_v0; |
| 171 | } |
| 172 | |
| 173 | break; |
| 174 | } |
| 175 | case Format::IYUV: |
| 176 | case Format::YUV444: |
| 177 | { |
| 178 | // Get Y/U/V element |
| 179 | const T &src = reinterpret_cast<const T *>(image_planes[plane_idx](coord))[0]; |
| 180 | T &dst = reinterpret_cast<T *>(dst_tensor(coord))[0]; |
| 181 | |
| 182 | // Copy Y/U/V plane |
| 183 | dst = src; |
| 184 | |
| 185 | break; |
| 186 | } |
| 187 | default: |
| 188 | ARM_COMPUTE_ERROR("Not supported"); |
| 189 | break; |
| 190 | } |
| 191 | } |
| 192 | } |
| 193 | |
| 194 | return dst; |
| 195 | } |
| 196 | |
| 197 | template std::vector<SimpleTensor<uint8_t>> channel_combine(const TensorShape &shape, const std::vector<SimpleTensor<uint8_t>> &image_planes, Format format); |
| 198 | } // namespace reference |
| 199 | } // namespace validation |
| 200 | } // namespace test |
| 201 | } // namespace arm_compute |