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OpenSpace/modules/iswa/util/dataprocessorkameleon.cpp
Alexander Bock 7004c02b86 Happy new year
2021-01-02 15:26:51 +01:00

169 lines
6.3 KiB
C++

/*****************************************************************************************
* *
* OpenSpace *
* *
* Copyright (c) 2014-2021 *
* *
* 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 <modules/iswa/util/dataprocessorkameleon.h>
#include <modules/kameleon/include/kameleonwrapper.h>
#include <openspace/properties/selectionproperty.h>
#include <openspace/util/histogram.h>
#include <ghoul/glm.h>
#include <ghoul/filesystem/file.h>
#include <ghoul/filesystem/filesystem.h>
#include <algorithm>
namespace openspace {
DataProcessorKameleon::DataProcessorKameleon() : DataProcessor() {}
DataProcessorKameleon::~DataProcessorKameleon() {}
std::vector<std::string> DataProcessorKameleon::readMetadata(const std::string& path,
glm::size3_t&)
{
if (path.empty()) {
return std::vector<std::string>();
}
if ((path != _kwPath) || !_kw) {
initializeKameleonWrapper(path);
}
std::vector<std::string> opts = _kw->variables();
opts.erase(
std::remove_if(
opts.begin(),
opts.end(),
[this](const std::string& opt) {
return (opt.size() > 3 ||
_coordinateVariables.find(opt) != _coordinateVariables.end());
}
),
opts.end()
);
return opts;
}
void DataProcessorKameleon::addDataValues(const std::string& path,
properties::SelectionProperty& dataOptions)
{
int numOptions = static_cast<int>(dataOptions.options().size());
initializeVectors(numOptions);
if (path.empty()) {
return;
}
if ((path != _kwPath) || !_kw) {
initializeKameleonWrapper(path);
}
std::vector<float> sum(numOptions, 0.f);
std::vector<std::vector<float>> optionValues(numOptions, std::vector<float>());
const std::vector<properties::SelectionProperty::Option>& options =
dataOptions.options();
const int numValues = static_cast<int>(_dimensions.x * _dimensions.y * _dimensions.z);
for (int i = 0; i < numOptions; ++i) {
//0.5 to gather interesting values for the normalization/histograms.
float* values = _kw->uniformSliceValues(
options[i].description,
_dimensions,
0.5f
);
for (int j=0; j<numValues; j++) {
const float value = values[j];
optionValues[i].push_back(value);
_min[i] = std::min(_min[i], value);
_max[i] = std::max(_max[i], value);
sum[i] += value;
}
}
add(optionValues, sum);
}
std::vector<float*> DataProcessorKameleon::processData(const std::string& path,
properties::SelectionProperty& optionProp,
glm::size3_t& dimensions)
{
const int numOptions = static_cast<int>(optionProp.options().size());
if (path.empty()) {
return std::vector<float*>(numOptions, nullptr);
}
if ((path != _kwPath) || !_kw) {
initializeKameleonWrapper(path);
}
const std::vector<int>& selectedOptions = optionProp;
const std::vector<properties::SelectionProperty::Option>& options =
optionProp.options();
const int numValues = static_cast<int>(glm::compMul(dimensions));
std::vector<float*> dataOptions(numOptions, nullptr);
for (int option : selectedOptions) {
dataOptions[option] = _kw->uniformSliceValues(
options[option].description,
dimensions,
_slice
);
for (int i = 0; i < numValues; i++) {
const float value = dataOptions[option][i];
dataOptions[option][i] = processDataPoint(value, option);
}
}
calculateFilterValues(selectedOptions);
return dataOptions;
}
void DataProcessorKameleon::setSlice(float slice) {
_slice = slice;
}
void DataProcessorKameleon::setDimensions(glm::size3_t dimensions) {
_dimensions = std::move(dimensions);
}
void DataProcessorKameleon::initializeKameleonWrapper(std::string path) {
const std::string& extension = ghoul::filesystem::File(absPath(path)).fileExtension();
if (FileSys.fileExists(absPath(path)) && extension == "cdf") {
if (_kw) {
_kw->close();
}
_kwPath = std::move(path);
_kw = std::make_shared<KameleonWrapper>(absPath(_kwPath));
}
}
} //namespace openspace