| /* |
| * Copyright (c) 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_HOG_DETECTOR_FIXTURE |
| #define ARM_COMPUTE_TEST_HOG_DETECTOR_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/Globals.h" |
| #include "tests/Utils.h" |
| #include "tests/benchmark/fixtures/HOGDescriptorFixture.h" |
| #include "tests/framework/Fixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace benchmark |
| { |
| template <typename TensorType, |
| typename HOGType, |
| typename Function, |
| typename Accessor, |
| typename HOGAccessor, |
| typename HOGDescriptorType, |
| typename ArrayType> |
| class HOGDetectorFixture : public HOGDescriptorFixture<TensorType, HOGType, HOGDescriptorType, Accessor> |
| { |
| public: |
| template <typename...> |
| void setup(Size2D detection_window_stride, std::string image, HOGInfo hog_info, Format format, BorderMode border_mode) |
| { |
| HDF::setup(image, hog_info, format, border_mode); |
| HDF::run(); |
| |
| // Initialise descriptor (linear SVM coefficients). |
| // NOTE: Fixed values are used to keep the number of detection windows detected |
| // consistent in order to have meaningful validation tolerances. |
| // The values are "unbalanced" to reduce the number of detected objects |
| const std::random_device::result_type seed = 0; |
| std::vector<float> descriptor = generate_random_real(hog_info.descriptor_size(), -0.505f, 0.495f, seed); |
| |
| // Create HOG |
| hog = create_HOG<HOGType>(hog_info); |
| |
| // Copy HOG descriptor values to HOG memory |
| { |
| HOGAccessor hog_accessor(hog); |
| std::memcpy(hog_accessor.descriptor(), descriptor.data(), descriptor.size() * sizeof(float)); |
| } |
| |
| // Create and configure function |
| hog_detector_func.configure(&(HDF::dst), &hog, &detection_windows, detection_window_stride); |
| |
| // Reset detection windows |
| detection_windows.clear(); |
| } |
| |
| void run() |
| { |
| hog_detector_func.run(); |
| } |
| |
| void sync() |
| { |
| sync_if_necessary<TensorType>(); |
| } |
| |
| private: |
| static const unsigned int max_num_detection_windows = 100000; |
| |
| HOGType hog{}; |
| Function hog_detector_func{}; |
| ArrayType detection_windows{ max_num_detection_windows }; |
| |
| using HDF = HOGDescriptorFixture<TensorType, HOGType, HOGDescriptorType, Accessor>; |
| }; |
| } // namespace benchmark |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_HOG_DETECTOR_FIXTURE */ |