1 files changed, 0 insertions, 141 deletions
diff --git a/src/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.cpp b/src/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.cpp
deleted file mode 100644
index 5037ac55cb..0000000000
--- a/src/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.cpp
+++ /dev/null
@@ -1,141 +0,0 @@
-/*
- * Copyright (c) 2017-2018 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.
- */
-#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)
-{
-    if(lhs.idx_class < rhs.idx_class)
-    {
-        return true;
-    }
-    if(rhs.idx_class < lhs.idx_class)
-    {
-        return false;
-    }
-
-    // idx_classes are equal so compare by score
-    if(lhs.score > rhs.score)
-    {
-        return true;
-    }
-    if(rhs.score > lhs.score)
-    {
-        return false;
-    }
-
-    return false;
-}
-} // 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 by idx_class and then score
-    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) && (cur.idx_class == _input_output->at(k).idx_class); ++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 detection window
-                        _input_output->at(k).score = 0.0f;
-                    }
-                }
-            }
-        }
-    }
-
-    _input_output->resize(num_detections);
-}