COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae

1 files changed, 120 insertions, 0 deletions

diff --git a/src/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.cpp b/src/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.cpp
new file mode 100644
index 0000000000..62bfdd60ba
--- /dev/null
+++ b/src/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.cpp
@@ -0,0 +1,120 @@
+/*
+ * 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)
+{
+    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);
+}