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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/HOGInfo.h"
#include "arm_compute/core/Types.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/IHOGAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/fixtures/HOGDescriptorFixture.h"
#include "tests/validation/reference/HOGDetector.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType,
typename HOGType,
typename DetectionWindowArrayType,
typename HOGDescriptorType,
typename AccessorType,
typename ArrayAccessorType,
typename HOGAccessorType,
typename HOGDetectorType,
typename T,
typename U>
class HOGDetectorValidationFixture : public HOGDescriptorValidationFixture<TensorType, HOGType, AccessorType, HOGDescriptorType, T, U>
{
public:
template <typename...>
void setup(Size2D detection_window_stride, std::string image, HOGInfo hog_info, Format format, BorderMode border_mode)
{
using HDF = HOGDescriptorValidationFixture<TensorType, HOGType, AccessorType, HOGDescriptorType, T, U>;
HDF::setup(image, hog_info, format, border_mode);
const unsigned int max_num_detection_windows = 100000;
// 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
std::random_device::result_type seed = 0;
std::vector<U> descriptor = generate_random_real(hog_info.descriptor_size(), -0.505f, 0.495f, seed);
// Compute target and reference values using feature vector from descriptor kernel
_target = compute_target(HDF::_target, descriptor, max_num_detection_windows, hog_info, detection_window_stride);
_reference = compute_reference(HDF::_reference, descriptor, max_num_detection_windows, hog_info, detection_window_stride);
}
protected:
std::vector<DetectionWindow> compute_target(const TensorType &src, const std::vector<U> &descriptor, unsigned int max_num_detection_windows,
const HOGInfo &hog_info, const Size2D &detection_window_stride)
{
// Create HOG
HOGType hog = create_HOG<HOGType>(hog_info);
// Create array of detection windows
DetectionWindowArrayType detection_windows(max_num_detection_windows);
// Copy HOG descriptor values to HOG memory
{
HOGAccessorType hog_accessor(hog);
std::memcpy(hog_accessor.descriptor(), descriptor.data(), descriptor.size() * sizeof(U));
}
// Create and configure function
HOGDetectorType hog_detector;
hog_detector.configure(&src, &hog, &detection_windows, detection_window_stride);
// Reset detection windows
detection_windows.clear();
// Compute function
hog_detector.run();
// Create array of detection windows
std::vector<DetectionWindow> windows;
// Copy detection windows
ArrayAccessorType accessor(detection_windows);
for(size_t i = 0; i < accessor.num_values(); i++)
{
DetectionWindow win;
win.x = accessor.at(i).x;
win.y = accessor.at(i).y;
win.width = accessor.at(i).width;
win.height = accessor.at(i).height;
win.idx_class = accessor.at(i).idx_class;
win.score = accessor.at(i).score;
windows.push_back(win);
}
return windows;
}
std::vector<DetectionWindow> compute_reference(const SimpleTensor<U> &src, const std::vector<U> &descriptor, unsigned int max_num_detection_windows,
const HOGInfo &hog_info, const Size2D &detection_window_stride)
{
// Assumes defaults value of zero for threshold and class_idx.
return reference::hog_detector(src, descriptor, max_num_detection_windows, hog_info, detection_window_stride);
}
std::vector<DetectionWindow> _target{};
std::vector<DetectionWindow> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_HOG_DETECTOR_FIXTURE */
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