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-rw-r--r--src/core/NEON/kernels/NECumulativeDistributionKernel.cpp112
1 files changed, 0 insertions, 112 deletions
diff --git a/src/core/NEON/kernels/NECumulativeDistributionKernel.cpp b/src/core/NEON/kernels/NECumulativeDistributionKernel.cpp
deleted file mode 100644
index 31b688c517..0000000000
--- a/src/core/NEON/kernels/NECumulativeDistributionKernel.cpp
+++ /dev/null
@@ -1,112 +0,0 @@
-/*
- * Copyright (c) 2016-2018 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/NEON/kernels/NECumulativeDistributionKernel.h"
-
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/IDistribution1D.h"
-#include "arm_compute/core/ILut.h"
-#include "arm_compute/core/ITensor.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Validate.h"
-
-#include <algorithm>
-#include <cmath>
-#include <numeric>
-
-using namespace arm_compute;
-
-NECumulativeDistributionKernel::NECumulativeDistributionKernel()
- : _input(nullptr), _distribution(nullptr), _cumulative_sum(nullptr), _output(nullptr)
-{
-}
-
-bool NECumulativeDistributionKernel::is_parallelisable() const
-{
- return false;
-}
-
-void NECumulativeDistributionKernel::configure(const IImage *input, const IDistribution1D *distribution, IDistribution1D *cumulative_sum, ILut *output)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(input, distribution, cumulative_sum, output);
- ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input);
-
- set_format_if_unknown(*input->info(), Format::U8);
-
- ARM_COMPUTE_ERROR_ON(distribution->num_bins() != cumulative_sum->num_bins());
- ARM_COMPUTE_ERROR_ON(distribution->num_bins() != output->num_elements());
- ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
- ARM_COMPUTE_ERROR_ON(input->info()->data_type() != output->type());
-
- _input = input;
- _distribution = distribution;
- _cumulative_sum = cumulative_sum;
- _output = output;
-
- INEKernel::configure(calculate_max_window(*input->info()));
-}
-
-void NECumulativeDistributionKernel::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_INVALID_SUBWINDOW(INEKernel::window(), window);
- ARM_COMPUTE_ERROR_ON(_distribution->buffer() == nullptr);
- ARM_COMPUTE_ERROR_ON(_cumulative_sum->buffer() == nullptr);
- ARM_COMPUTE_ERROR_ON(_output->buffer() == nullptr);
- ARM_COMPUTE_ERROR_ON_MSG(_distribution->num_bins() < 256, "Distribution must have 256 bins");
-
- // Calculate the cumulative distribution (summed histogram).
- const uint32_t *hist = _distribution->buffer();
- uint32_t *cumulative_sum = _cumulative_sum->buffer();
- uint8_t *output = _output->buffer();
-
- // Calculate cumulative distribution
- std::partial_sum(hist, hist + _histogram_size, cumulative_sum);
-
- // Get the number of pixels that have the lowest value in the input image
- const uint32_t cd_min = *std::find_if(hist, hist + _histogram_size, [](const uint32_t &v)
- {
- return v > 0;
- });
- const uint32_t image_size = cumulative_sum[_histogram_size - 1];
-
- ARM_COMPUTE_ERROR_ON(cd_min > image_size);
-
- // Create mapping lookup table
- if(image_size == cd_min)
- {
- std::iota(output, output + _histogram_size, 0);
- }
- else
- {
- const float diff = image_size - cd_min;
-
- for(unsigned int x = 0; x < _histogram_size; ++x)
- {
- output[x] = lround((cumulative_sum[x] - cd_min) / diff * 255.0f);
- }
- }
-}