mirror of
https://github.com/OpenSpace/OpenSpace.git
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169 lines
6.3 KiB
C++
169 lines
6.3 KiB
C++
/*****************************************************************************************
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* *
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* OpenSpace *
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* *
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* Copyright (c) 2014-2021 *
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* *
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* Permission is hereby granted, free of charge, to any person obtaining a copy of this *
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* software and associated documentation files (the "Software"), to deal in the Software *
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* without restriction, including without limitation the rights to use, copy, modify, *
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* merge, publish, distribute, sublicense, and/or sell copies of the Software, and to *
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* permit persons to whom the Software is furnished to do so, subject to the following *
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* conditions: *
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* *
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* The above copyright notice and this permission notice shall be included in all copies *
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* or substantial portions of the Software. *
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* *
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, *
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* INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A *
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* PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT *
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* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF *
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* CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE *
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* OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. *
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****************************************************************************************/
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#include <modules/iswa/util/dataprocessorkameleon.h>
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#include <modules/kameleon/include/kameleonwrapper.h>
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#include <openspace/properties/selectionproperty.h>
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#include <openspace/util/histogram.h>
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#include <ghoul/glm.h>
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#include <ghoul/filesystem/file.h>
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#include <ghoul/filesystem/filesystem.h>
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#include <algorithm>
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namespace openspace {
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DataProcessorKameleon::DataProcessorKameleon() : DataProcessor() {}
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DataProcessorKameleon::~DataProcessorKameleon() {}
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std::vector<std::string> DataProcessorKameleon::readMetadata(const std::string& path,
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glm::size3_t&)
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{
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if (path.empty()) {
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return std::vector<std::string>();
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}
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if ((path != _kwPath) || !_kw) {
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initializeKameleonWrapper(path);
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}
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std::vector<std::string> opts = _kw->variables();
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opts.erase(
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std::remove_if(
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opts.begin(),
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opts.end(),
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[this](const std::string& opt) {
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return (opt.size() > 3 ||
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_coordinateVariables.find(opt) != _coordinateVariables.end());
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}
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),
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opts.end()
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);
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return opts;
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}
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void DataProcessorKameleon::addDataValues(const std::string& path,
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properties::SelectionProperty& dataOptions)
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{
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int numOptions = static_cast<int>(dataOptions.options().size());
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initializeVectors(numOptions);
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if (path.empty()) {
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return;
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}
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if ((path != _kwPath) || !_kw) {
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initializeKameleonWrapper(path);
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}
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std::vector<float> sum(numOptions, 0.f);
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std::vector<std::vector<float>> optionValues(numOptions, std::vector<float>());
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const std::vector<properties::SelectionProperty::Option>& options =
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dataOptions.options();
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const int numValues = static_cast<int>(_dimensions.x * _dimensions.y * _dimensions.z);
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for (int i = 0; i < numOptions; ++i) {
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//0.5 to gather interesting values for the normalization/histograms.
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float* values = _kw->uniformSliceValues(
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options[i].description,
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_dimensions,
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0.5f
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);
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for (int j=0; j<numValues; j++) {
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const float value = values[j];
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optionValues[i].push_back(value);
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_min[i] = std::min(_min[i], value);
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_max[i] = std::max(_max[i], value);
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sum[i] += value;
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}
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}
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add(optionValues, sum);
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}
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std::vector<float*> DataProcessorKameleon::processData(const std::string& path,
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properties::SelectionProperty& optionProp,
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glm::size3_t& dimensions)
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{
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const int numOptions = static_cast<int>(optionProp.options().size());
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if (path.empty()) {
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return std::vector<float*>(numOptions, nullptr);
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}
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if ((path != _kwPath) || !_kw) {
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initializeKameleonWrapper(path);
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}
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const std::vector<int>& selectedOptions = optionProp;
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const std::vector<properties::SelectionProperty::Option>& options =
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optionProp.options();
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const int numValues = static_cast<int>(glm::compMul(dimensions));
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std::vector<float*> dataOptions(numOptions, nullptr);
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for (int option : selectedOptions) {
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dataOptions[option] = _kw->uniformSliceValues(
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options[option].description,
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dimensions,
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_slice
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);
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for (int i = 0; i < numValues; i++) {
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const float value = dataOptions[option][i];
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dataOptions[option][i] = processDataPoint(value, option);
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}
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}
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calculateFilterValues(selectedOptions);
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return dataOptions;
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}
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void DataProcessorKameleon::setSlice(float slice) {
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_slice = slice;
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}
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void DataProcessorKameleon::setDimensions(glm::size3_t dimensions) {
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_dimensions = std::move(dimensions);
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}
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void DataProcessorKameleon::initializeKameleonWrapper(std::string path) {
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const std::string& extension = ghoul::filesystem::File(absPath(path)).fileExtension();
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if (FileSys.fileExists(absPath(path)) && extension == "cdf") {
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if (_kw) {
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_kw->close();
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}
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_kwPath = std::move(path);
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_kw = std::make_shared<KameleonWrapper>(absPath(_kwPath));
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}
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}
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} //namespace openspace
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