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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 */
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