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| 1 | +#include <pybind11/eigen.h> |
| 2 | +#include <pybind11/embed.h> |
| 3 | +#include <pybind11/stl.h> |
| 4 | +namespace py = pybind11; |
| 5 | +using namespace pybind11::literals; // to bring in the `_a` literal |
| 6 | + |
| 7 | +#include <Job/StatsGroupDWDJob.h> |
| 8 | +#include <Logging.h> |
| 9 | +#include <jkqtplotter/graphs/jkqtpscatter.h> |
| 10 | +#include <jkqtplotter/jkqtplotter.h> |
| 11 | + |
| 12 | +namespace shapeworks { |
| 13 | + |
| 14 | +//--------------------------------------------------------------------------- |
| 15 | +StatsGroupDWDJob::StatsGroupDWDJob() {} |
| 16 | + |
| 17 | +//--------------------------------------------------------------------------- |
| 18 | +void StatsGroupDWDJob::set_stats(ParticleShapeStatistics stats) { stats_ = stats; } |
| 19 | + |
| 20 | +//--------------------------------------------------------------------------- |
| 21 | +void StatsGroupDWDJob::run() { |
| 22 | + succeeded_ = false; |
| 23 | + Q_EMIT progress(0.1); |
| 24 | + stats_.principal_component_projections(); |
| 25 | + auto pca_loadings = stats_.get_pca_loadings(); |
| 26 | + Q_EMIT progress(0.2); |
| 27 | + |
| 28 | + auto& group_ids = stats_.GroupID(); |
| 29 | + |
| 30 | + int num_samples = pca_loadings.rows(); |
| 31 | + |
| 32 | + Eigen::MatrixXd group_1_data; |
| 33 | + Eigen::MatrixXd group_2_data; |
| 34 | + |
| 35 | + int group_1_count = std::count(group_ids.begin(), group_ids.end(), 1); |
| 36 | + int group_2_count = num_samples - group_1_count; |
| 37 | + if (group_1_count == 0 || group_2_count == 0) { |
| 38 | + return; |
| 39 | + } |
| 40 | + |
| 41 | + group_1_data.resize(group_1_count, pca_loadings.cols()); |
| 42 | + group_2_data.resize(group_2_count, pca_loadings.cols()); |
| 43 | + |
| 44 | + int group_1_idx = 0; |
| 45 | + int group_2_idx = 0; |
| 46 | + for (int i = 0; i < num_samples; i++) { |
| 47 | + if (group_ids[i] == 1) { |
| 48 | + group_1_data.row(group_1_idx++) = pca_loadings.row(i); |
| 49 | + } else { |
| 50 | + group_2_data.row(group_2_idx++) = pca_loadings.row(i); |
| 51 | + } |
| 52 | + } |
| 53 | + |
| 54 | + try { |
| 55 | + py::module sw = py::module::import("shapeworks"); |
| 56 | + py::object dwd_loadings = sw.attr("stats").attr("dwd_loadings"); |
| 57 | + Q_EMIT progress(0.5); |
| 58 | + |
| 59 | + using ResultType = |
| 60 | + std::tuple<Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd>; |
| 61 | + ResultType result = dwd_loadings(group_1_data.transpose(), group_2_data.transpose()).cast<ResultType>(); |
| 62 | + |
| 63 | + group1_x_ = std::get<0>(result); |
| 64 | + group2_x_ = std::get<1>(result); |
| 65 | + group1_pdf_ = std::get<2>(result); |
| 66 | + group2_pdf_ = std::get<3>(result); |
| 67 | + group1_map_ = std::get<4>(result); |
| 68 | + group2_map_ = std::get<5>(result); |
| 69 | + } catch (const std::exception& e) { |
| 70 | + SW_ERROR("DWD computation failed: {}", e.what()); |
| 71 | + succeeded_ = false; |
| 72 | + return; |
| 73 | + } |
| 74 | + |
| 75 | + succeeded_ = true; |
| 76 | + Q_EMIT progress(1.0); |
| 77 | +} |
| 78 | + |
| 79 | +//--------------------------------------------------------------------------- |
| 80 | +QString StatsGroupDWDJob::name() { return "Group DWD"; } |
| 81 | + |
| 82 | +//--------------------------------------------------------------------------- |
| 83 | +void StatsGroupDWDJob::plot(JKQTPlotter* plot, QString group_1_name, QString group_2_name) { |
| 84 | + JKQTPDatastore* ds = plot->getDatastore(); |
| 85 | + ds->clear(); |
| 86 | + plot->clearGraphs(); |
| 87 | + |
| 88 | + QString title = "DWD"; |
| 89 | + |
| 90 | + auto draw_line_plot = [&](Eigen::MatrixXd x, Eigen::MatrixXd y, QString name, QColor color) { |
| 91 | + QVector<double> xv, yv; |
| 92 | + for (int i = 0; i < x.size(); i++) { |
| 93 | + xv << x(i); |
| 94 | + yv << y(i); |
| 95 | + } |
| 96 | + |
| 97 | + QString x_label = name + " PDF"; |
| 98 | + QString y_label = name + " y"; |
| 99 | + |
| 100 | + size_t column_x = ds->addCopiedColumn(xv, x_label); |
| 101 | + size_t column_y = ds->addCopiedColumn(yv, y_label); |
| 102 | + |
| 103 | + JKQTPXYLineGraph* graph = new JKQTPXYLineGraph(plot); |
| 104 | + graph->setColor(color); |
| 105 | + graph->setSymbolType(JKQTPNoSymbol); |
| 106 | + graph->setXColumn(column_x); |
| 107 | + graph->setYColumn(column_y); |
| 108 | + graph->setTitle(name + " PDF"); |
| 109 | + plot->addGraph(graph); |
| 110 | + }; |
| 111 | + |
| 112 | + draw_line_plot(group1_x_, group1_pdf_, group_1_name, QColor(239, 133, 54)); |
| 113 | + draw_line_plot(group2_x_, group2_pdf_, group_2_name, Qt::blue); |
| 114 | + |
| 115 | + auto draw_scatter_plot = [&](Eigen::MatrixXd map, QString name, QColor color) { |
| 116 | + QVector<double> x, y; |
| 117 | + for (int i = 0; i < map.size(); i++) { |
| 118 | + x << map(i); |
| 119 | + y << 0.01; |
| 120 | + } |
| 121 | + |
| 122 | + int column_x = ds->addCopiedColumn(x, name + "scatter x"); |
| 123 | + int column_y = ds->addCopiedColumn(y, name + "scatter y"); |
| 124 | + |
| 125 | + auto scatter = new JKQTPXYParametrizedScatterGraph(plot); |
| 126 | + scatter->setColor(color); |
| 127 | + scatter->setXColumn(column_x); |
| 128 | + scatter->setYColumn(column_y); |
| 129 | + scatter->setTitle(name + " Shape Mappings"); |
| 130 | + plot->addGraph(scatter); |
| 131 | + }; |
| 132 | + |
| 133 | + draw_scatter_plot(group1_map_, group_1_name, QColor(239, 133, 54)); |
| 134 | + draw_scatter_plot(group2_map_, group_2_name, Qt::blue); |
| 135 | + |
| 136 | + plot->getPlotter()->setUseAntiAliasingForGraphs(true); |
| 137 | + plot->getPlotter()->setUseAntiAliasingForSystem(true); |
| 138 | + plot->getPlotter()->setUseAntiAliasingForText(true); |
| 139 | + plot->getPlotter()->setPlotLabelFontSize(18); |
| 140 | + plot->getPlotter()->setPlotLabel("\\textbf{" + title + "}"); |
| 141 | + plot->getPlotter()->setDefaultTextSize(14); |
| 142 | + plot->getPlotter()->setShowKey(true); |
| 143 | + |
| 144 | + plot->getXAxis()->setAxisLabel("Shape mapping to DWD discrimination of variation between population means"); |
| 145 | + plot->getXAxis()->setLabelFontSize(8); |
| 146 | + plot->getYAxis()->setAxisLabel("Probability Density"); |
| 147 | + plot->getYAxis()->setLabelFontSize(14); |
| 148 | + |
| 149 | + plot->clearAllMouseWheelActions(); |
| 150 | + plot->setMousePositionShown(false); |
| 151 | + plot->setMinimumSize(250, 250); |
| 152 | + plot->zoomToFit(); |
| 153 | +} |
| 154 | +} // namespace shapeworks |
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