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projection.cpp
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/*
* This file is part of illcrawl, a reconstruction engine for data from
* the illustris simulation.
*
* Copyright (C) 2017 Aksel Alpay
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "volumetric_integration.hpp"
#include "projective_smoothing_reconstruction.hpp"
#include "projection.hpp"
namespace illcrawl {
projection::projection(const qcl::device_context_ptr& ctx,
const camera& cam)
: _ctx{ctx},
_cam{cam}
{
}
void
projection::project_by_numerical_integration(reconstructing_data_crawler& reconstruction,
const reconstruction_quantity::quantity& reconstructed_quantity,
math::scalar z_range,
const integration::tolerance& integration_tolerance,
util::multi_array<device_scalar>& output) const
{
volumetric_integration integrator{_ctx, _cam};
integrator.create_projection(reconstruction,
reconstructed_quantity,
z_range,
integration_tolerance,
output);
}
void
projection::create_projection(reconstructing_data_crawler& reconstruction,
const reconstruction_quantity::quantity& reconstructed_quantity,
math::scalar z_range,
const integration::tolerance& integration_tolerance,
util::multi_array<device_scalar>& output) const
{
if(reconstructed_quantity.requires_voronoi_reconstruction())
{
this->project_by_numerical_integration(reconstruction,
reconstructed_quantity,
z_range,
integration_tolerance,
output);
}
else
{
// Use projective smoothing. In this case, the reconstructor
// should already be initialized with a projective_smoothing_backend.
using projective_smoothing_ptr = reconstruction_backends::dm::projective_smoothing*;
projective_smoothing_ptr backend =
dynamic_cast<projective_smoothing_ptr>(reconstruction.get_backend());
if(backend == nullptr)
{
// We are not dealing with a reconstructor that has a
// projective smoothing backend. Fallback
// to numerical integration
this->project_by_numerical_integration(reconstruction,
reconstructed_quantity,
z_range,
integration_tolerance,
output);
}
else
{
backend->set_camera(_cam);
backend->set_integration_depth(z_range);
cl::Buffer evaluation_points;
_cam.generate_pixel_coordinates(_ctx, evaluation_points);
std::size_t total_num_pixels =
_cam.get_num_pixels(0)*_cam.get_num_pixels(1);
reconstruction.run(evaluation_points,
total_num_pixels,
reconstructed_quantity);
// retrieve results
const cl::Buffer& reconstruction_result =
reconstruction.get_reconstruction();
output = util::multi_array<device_scalar>{
_cam.get_num_pixels(0),
_cam.get_num_pixels(1)
};
_ctx->memcpy_d2h(output.data(),
reconstruction_result,
total_num_pixels);
}
}
}
}