| /* |
| * Copyright (c) 2017-2018 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. |
| */ |
| #ifndef ARM_COMPUTE_TEST_COLOR_CONVERT_FIXTURE |
| #define ARM_COMPUTE_TEST_COLOR_CONVERT_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/IAccessor.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/validation/Helpers.h" |
| #include "tests/validation/reference/ColorConvert.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| } |
| template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class ColorConvertValidationFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, Format src_format, Format dst_format) |
| { |
| shape = adjust_odd_shape(shape, src_format); |
| shape = adjust_odd_shape(shape, dst_format); |
| |
| _target = compute_target(shape, src_format, dst_format); |
| _reference = compute_reference(shape, src_format, dst_format); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor, int i) |
| { |
| library->fill_tensor_uniform(tensor, i); |
| } |
| |
| std::vector<SimpleTensor<T>> create_tensor_planes_reference(const TensorShape &shape, Format format) |
| { |
| std::vector<SimpleTensor<T>> tensor_planes; |
| |
| switch(format) |
| { |
| case Format::RGB888: |
| case Format::RGBA8888: |
| case Format::YUYV422: |
| case Format::UYVY422: |
| { |
| tensor_planes.emplace_back(shape, format); |
| break; |
| } |
| case Format::NV12: |
| case Format::NV21: |
| { |
| const TensorShape shape_uv88 = calculate_subsampled_shape(shape, Format::UV88); |
| |
| tensor_planes.emplace_back(shape, Format::U8); |
| tensor_planes.emplace_back(shape_uv88, Format::UV88); |
| break; |
| } |
| case Format::IYUV: |
| { |
| const TensorShape shape_sub2 = calculate_subsampled_shape(shape, Format::IYUV); |
| |
| tensor_planes.emplace_back(shape, Format::U8); |
| tensor_planes.emplace_back(shape_sub2, Format::U8); |
| tensor_planes.emplace_back(shape_sub2, Format::U8); |
| break; |
| } |
| case Format::YUV444: |
| { |
| tensor_planes.emplace_back(shape, Format::U8); |
| tensor_planes.emplace_back(shape, Format::U8); |
| tensor_planes.emplace_back(shape, Format::U8); |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Not supported"); |
| break; |
| } |
| |
| return tensor_planes; |
| } |
| |
| MultiImageType compute_target(const TensorShape &shape, Format src_format, Format dst_format) |
| { |
| _src_num_planes = num_planes_from_format(src_format); |
| _dst_num_planes = num_planes_from_format(dst_format); |
| |
| // Create tensors |
| MultiImageType ref_src = create_multi_image<MultiImageType>(shape, src_format); |
| MultiImageType ref_dst = create_multi_image<MultiImageType>(shape, dst_format); |
| |
| // Create and configure function |
| FunctionType color_convert; |
| |
| if(1U == _src_num_planes) |
| { |
| const TensorType *plane_src = static_cast<TensorType *>(ref_src.plane(0)); |
| |
| if(1U == _dst_num_planes) |
| { |
| TensorType *plane_dst = static_cast<TensorType *>(ref_dst.plane(0)); |
| color_convert.configure(plane_src, plane_dst); |
| } |
| else |
| { |
| color_convert.configure(plane_src, &ref_dst); |
| } |
| } |
| else |
| { |
| if(1U == _dst_num_planes) |
| { |
| TensorType *plane_dst = static_cast<TensorType *>(ref_dst.plane(0)); |
| color_convert.configure(&ref_src, plane_dst); |
| } |
| else |
| { |
| color_convert.configure(&ref_src, &ref_dst); |
| } |
| } |
| |
| for(unsigned int plane_idx = 0; plane_idx < _src_num_planes; ++plane_idx) |
| { |
| const TensorType *src_plane = static_cast<const TensorType *>(ref_src.plane(plane_idx)); |
| |
| ARM_COMPUTE_EXPECT(src_plane->info()->is_resizable(), framework::LogLevel::ERRORS); |
| } |
| for(unsigned int plane_idx = 0; plane_idx < _dst_num_planes; ++plane_idx) |
| { |
| const TensorType *dst_plane = static_cast<const TensorType *>(ref_dst.plane(plane_idx)); |
| |
| ARM_COMPUTE_EXPECT(dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS); |
| } |
| |
| // Allocate tensors |
| ref_src.allocate(); |
| ref_dst.allocate(); |
| |
| for(unsigned int plane_idx = 0; plane_idx < _src_num_planes; ++plane_idx) |
| { |
| const TensorType *src_plane = static_cast<const TensorType *>(ref_src.plane(plane_idx)); |
| ARM_COMPUTE_EXPECT(!src_plane->info()->is_resizable(), framework::LogLevel::ERRORS); |
| } |
| |
| for(unsigned int plane_idx = 0; plane_idx < _dst_num_planes; ++plane_idx) |
| { |
| const TensorType *dst_plane = static_cast<const TensorType *>(ref_dst.plane(plane_idx)); |
| ARM_COMPUTE_EXPECT(!dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS); |
| } |
| |
| // Fill tensor planes |
| for(unsigned int plane_idx = 0; plane_idx < _src_num_planes; ++plane_idx) |
| { |
| TensorType *src_plane = static_cast<TensorType *>(ref_src.plane(plane_idx)); |
| |
| fill(AccessorType(*src_plane), plane_idx); |
| } |
| |
| // Compute function |
| color_convert.run(); |
| |
| return ref_dst; |
| } |
| |
| std::vector<SimpleTensor<T>> compute_reference(const TensorShape &shape, Format src_format, Format dst_format) |
| { |
| // Create reference |
| std::vector<SimpleTensor<T>> ref_src = create_tensor_planes_reference(shape, src_format); |
| |
| // Fill references |
| for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) |
| { |
| fill(ref_src[plane_idx], plane_idx); |
| } |
| |
| return reference::color_convert<T>(shape, ref_src, src_format, dst_format); |
| } |
| |
| unsigned int _src_num_planes{}; |
| unsigned int _dst_num_planes{}; |
| MultiImageType _target{}; |
| std::vector<SimpleTensor<T>> _reference{}; |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_COLOR_CONVERT_FIXTURE */ |