| /* |
| * 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_FAST_CORNERS_FIXTURE |
| #define ARM_COMPUTE_TEST_FAST_CORNERS_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/reference/FastCorners.h" |
| |
| #include <random> |
| |
| namespace arm_compute |
| { |
| class CLFastCorners; |
| class NEFastCorners; |
| |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename ArrayType, typename FunctionType, typename T> |
| class FastCornersValidationFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(std::string image, Format format, bool suppress_nonmax, BorderMode border_mode) |
| { |
| std::mt19937 gen(library->seed()); |
| std::uniform_int_distribution<uint8_t> int_dist(0, 255); |
| std::uniform_real_distribution<float> real_dist(0, 255); |
| |
| const uint8_t constant_border_value = int_dist(gen); |
| const float threshold = real_dist(gen); |
| |
| _target = compute_target(image, format, threshold, suppress_nonmax, border_mode, constant_border_value); |
| _reference = compute_reference(image, format, threshold, suppress_nonmax, border_mode, constant_border_value); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor, RawTensor raw) |
| { |
| library->fill(tensor, raw); |
| } |
| |
| template <typename F, typename std::enable_if<std::is_same<F, CLFastCorners>::value, int>::type = 0> |
| void configure_target(F &func, TensorType &src, ArrayType &corners, unsigned int *num_corners, float threshold, bool suppress_nonmax, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| func.configure(&src, threshold, suppress_nonmax, &corners, num_corners, border_mode, constant_border_value); |
| } |
| |
| template <typename F, typename std::enable_if<std::is_same<F, NEFastCorners>::value, int>::type = 0> |
| void configure_target(F &func, TensorType &src, ArrayType &corners, unsigned int *num_corners, float threshold, bool suppress_nonmax, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| ARM_COMPUTE_UNUSED(num_corners); |
| func.configure(&src, threshold, suppress_nonmax, &corners, border_mode, constant_border_value); |
| } |
| |
| ArrayType compute_target(const std::string &image, Format format, float threshold, bool suppress_nonmax, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| // Load the image (cached by the library if loaded before) |
| const RawTensor &raw = library->get(image, format); |
| |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(raw.shape(), format); |
| |
| // Create array of keypoints |
| ArrayType corners(raw.shape().total_size()); |
| unsigned int num_corners = raw.shape().total_size(); |
| |
| // Create and configure function |
| FunctionType fast_corners; |
| configure_target<FunctionType>(fast_corners, src, corners, &num_corners, threshold, suppress_nonmax, border_mode, constant_border_value); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| |
| ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Fill tensors |
| fill(AccessorType(src), raw); |
| |
| // Compute function |
| fast_corners.run(); |
| |
| return corners; |
| } |
| |
| std::vector<KeyPoint> compute_reference(const std::string &image, Format format, float threshold, bool suppress_nonmax, BorderMode border_mode, uint8_t constant_border_value) |
| { |
| // Load the image (cached by the library if loaded before) |
| const RawTensor &raw = library->get(image, format); |
| |
| // Create reference |
| SimpleTensor<T> src{ raw.shape(), format }; |
| |
| // Fill reference |
| fill(src, raw); |
| |
| // Compute reference |
| return reference::fast_corners<T>(src, threshold, suppress_nonmax, border_mode, constant_border_value); |
| } |
| |
| ArrayType _target{}; |
| std::vector<KeyPoint> _reference{}; |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_FAST_CORNERS_FIXTURE */ |