aboutsummaryrefslogtreecommitdiff
path: root/src/core/CPP/kernels/CPPSortEuclideanDistanceKernel.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/core/CPP/kernels/CPPSortEuclideanDistanceKernel.cpp')
-rw-r--r--src/core/CPP/kernels/CPPSortEuclideanDistanceKernel.cpp117
1 files changed, 0 insertions, 117 deletions
diff --git a/src/core/CPP/kernels/CPPSortEuclideanDistanceKernel.cpp b/src/core/CPP/kernels/CPPSortEuclideanDistanceKernel.cpp
deleted file mode 100644
index edc5e409c2..0000000000
--- a/src/core/CPP/kernels/CPPSortEuclideanDistanceKernel.cpp
+++ /dev/null
@@ -1,117 +0,0 @@
-/*
- * 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/CPPSortEuclideanDistanceKernel.h"
-
-#include "arm_compute/core/Coordinates.h"
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Utils.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/Window.h"
-
-#include <cmath>
-
-using namespace arm_compute;
-
-namespace
-{
-bool keypoint_compare(const InternalKeypoint &lhs, const InternalKeypoint &rhs)
-{
- return std::get<2>(lhs) > std::get<2>(rhs);
-}
-} // namespace
-
-CPPSortEuclideanDistanceKernel::CPPSortEuclideanDistanceKernel()
- : _num_corner_candidates(), _min_distance(0.0f), _in_out(nullptr), _output(nullptr)
-{
-}
-
-void CPPSortEuclideanDistanceKernel::configure(InternalKeypoint *in_out, IKeyPointArray *output, const int32_t *num_corner_candidates, float min_distance)
-{
- ARM_COMPUTE_ERROR_ON(nullptr == in_out);
- ARM_COMPUTE_ERROR_ON(nullptr == output);
- ARM_COMPUTE_ERROR_ON(nullptr == num_corner_candidates);
- ARM_COMPUTE_ERROR_ON(!((min_distance > 0) && (min_distance <= 30)));
-
- _in_out = in_out;
- _output = output;
- _min_distance = min_distance * min_distance; // We compare squares of distances
- _num_corner_candidates = num_corner_candidates;
- ICPPKernel::configure(Window()); // Default 1 iteration window
-}
-
-bool CPPSortEuclideanDistanceKernel::is_parallelisable() const
-{
- return false;
-}
-
-void CPPSortEuclideanDistanceKernel::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(ICPPKernel::window(), window);
-
- const int32_t num_corner_candidates = *_num_corner_candidates;
-
- /* Sort list of corner candidates */
- std::sort(_in_out, _in_out + num_corner_candidates, keypoint_compare);
-
- /* Euclidean distance */
- for(int32_t i = 0; i < num_corner_candidates; ++i)
- {
- if(std::get<2>(_in_out[i]) != 0.0f)
- {
- KeyPoint keypt;
- const auto xc = std::get<0>(_in_out[i]);
- const auto yc = std::get<1>(_in_out[i]);
-
- keypt.x = xc;
- keypt.y = yc;
- keypt.strength = std::get<2>(_in_out[i]);
- keypt.tracking_status = 1;
-
- /* Store corner */
- _output->push_back(keypt);
- for(int32_t k = i + 1; k < num_corner_candidates; ++k)
- {
- const float dx = std::fabs(std::get<0>(_in_out[k]) - xc);
- const float dy = std::fabs(std::get<1>(_in_out[k]) - yc);
-
- if((dx < _min_distance) && (dy < _min_distance))
- {
- const float d = (dx * dx + dy * dy);
-
- if(d < _min_distance)
- {
- /* Invalidate keypoint */
- std::get<2>(_in_out[k]) = 0.0f;
- }
- }
- }
- }
- }
-}