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/*
* Copyright (c) 2017 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.
*/
#include "arm_compute/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include <algorithm>
#include <cmath>
using namespace arm_compute;
namespace
{
bool compare_detection_window(const DetectionWindow &lhs, const DetectionWindow &rhs)
{
return lhs.score > rhs.score;
}
} // namespace
CPPDetectionWindowNonMaximaSuppressionKernel::CPPDetectionWindowNonMaximaSuppressionKernel()
: _input_output(nullptr), _min_distance(0.0f)
{
}
bool CPPDetectionWindowNonMaximaSuppressionKernel::is_parallelisable() const
{
return false;
}
void CPPDetectionWindowNonMaximaSuppressionKernel::configure(IDetectionWindowArray *input_output, float min_distance)
{
ARM_COMPUTE_ERROR_ON(nullptr == input_output);
_input_output = input_output;
_min_distance = min_distance;
IKernel::configure(Window()); // Default 1 iteration window
}
void CPPDetectionWindowNonMaximaSuppressionKernel::run(const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_UNUSED(window);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(IKernel::window(), window);
ARM_COMPUTE_ERROR_ON(_input_output->buffer() == nullptr);
const size_t num_candidates = _input_output->num_values();
size_t num_detections = 0;
// Sort list of candidates
std::sort(_input_output->buffer(), _input_output->buffer() + num_candidates, compare_detection_window);
const float min_distance_pow2 = _min_distance * _min_distance;
// Euclidean distance
for(size_t i = 0; i < num_candidates; ++i)
{
if(0.0f != _input_output->at(i).score)
{
DetectionWindow cur;
cur.x = _input_output->at(i).x;
cur.y = _input_output->at(i).y;
cur.width = _input_output->at(i).width;
cur.height = _input_output->at(i).height;
cur.idx_class = _input_output->at(i).idx_class;
cur.score = _input_output->at(i).score;
// Store window
_input_output->at(num_detections) = cur;
++num_detections;
const float xc = cur.x + cur.width * 0.5f;
const float yc = cur.y + cur.height * 0.5f;
for(size_t k = i + 1; k < num_candidates; ++k)
{
const float xn = _input_output->at(k).x + _input_output->at(k).width * 0.5f;
const float yn = _input_output->at(k).y + _input_output->at(k).height * 0.5f;
const float dx = std::fabs(xn - xc);
const float dy = std::fabs(yn - yc);
if(dx < _min_distance && dy < _min_distance)
{
const float d = dx * dx + dy * dy;
if(d < min_distance_pow2)
{
// Invalidate keypoint
_input_output->at(k).score = 0.0f;
}
}
}
}
}
_input_output->resize(num_detections);
}
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