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/*
* 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/runtime/CL/functions/CLLaplacianPyramid.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/IPyramid.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/functions/CLDepthConvertLayer.h"
#include "arm_compute/runtime/CL/functions/CLElementwiseOperations.h"
#include "arm_compute/runtime/CL/functions/CLGaussian5x5.h"
#include "arm_compute/runtime/CL/functions/CLGaussianPyramid.h"
#include "support/ToolchainSupport.h"
using namespace arm_compute;
CLLaplacianPyramid::CLLaplacianPyramid() // NOLINT
: _num_levels(0),
_gaussian_pyr_function(),
_convf(),
_subf(),
_depth_function(),
_gauss_pyr(),
_conv_pyr()
{
}
void CLLaplacianPyramid::configure(ICLTensor *input, CLPyramid *pyramid, ICLTensor *output, BorderMode border_mode, uint8_t constant_border_value)
{
ARM_COMPUTE_ERROR_ON(nullptr == pyramid);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S16);
ARM_COMPUTE_ERROR_ON(0 == pyramid->info()->num_levels());
ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != pyramid->info()->width());
ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) != pyramid->info()->height());
ARM_COMPUTE_ERROR_ON(output->info()->dimension(0) != pyramid->get_pyramid_level(pyramid->info()->num_levels() - 1)->info()->dimension(0));
ARM_COMPUTE_ERROR_ON(output->info()->dimension(1) != pyramid->get_pyramid_level(pyramid->info()->num_levels() - 1)->info()->dimension(1));
_num_levels = pyramid->info()->num_levels();
// Create and initialize the gaussian pyramid and the convoluted pyramid
PyramidInfo pyramid_info;
pyramid_info.init(_num_levels, 0.5f, pyramid->info()->tensor_shape(), arm_compute::Format::U8);
_gauss_pyr.init(pyramid_info);
_conv_pyr.init(pyramid_info);
// Create Gaussian Pyramid function
_gaussian_pyr_function.configure(input, &_gauss_pyr, border_mode, constant_border_value);
_convf = arm_compute::support::cpp14::make_unique<CLGaussian5x5[]>(_num_levels);
_subf = arm_compute::support::cpp14::make_unique<CLArithmeticSubtraction[]>(_num_levels);
for(unsigned int i = 0; i < _num_levels; ++i)
{
_convf[i].configure(_gauss_pyr.get_pyramid_level(i), _conv_pyr.get_pyramid_level(i), border_mode, constant_border_value);
_subf[i].configure(_gauss_pyr.get_pyramid_level(i), _conv_pyr.get_pyramid_level(i), pyramid->get_pyramid_level(i), ConvertPolicy::WRAP);
}
_depth_function.configure(_conv_pyr.get_pyramid_level(_num_levels - 1), output, ConvertPolicy::WRAP, 0);
_gauss_pyr.allocate();
_conv_pyr.allocate();
}
void CLLaplacianPyramid::run()
{
ARM_COMPUTE_ERROR_ON_MSG(0 == _num_levels, "Unconfigured function");
_gaussian_pyr_function.run(); // compute gaussian pyramid
for(unsigned int i = 0; i < _num_levels; ++i)
{
_convf[i].run(); // convolute gaussian pyramid
}
for(unsigned int i = 0; i < _num_levels; ++i)
{
_subf[i].run(); // compute laplacian image
}
_depth_function.run();
}
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