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-/*
- * 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 */