97 lines
3.9 KiB
C++
97 lines
3.9 KiB
C++
// 离屏渲染验证：把真实数据渲成 PNG，肉眼核对方向/2D-3D 差异(不靠"进程活着"自欺)。
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// 产出(D:/dev/spike_data/):
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// verify_section.png —— 平面反演剖面(#18, 数据详情), 浅部在上、深部在下, 纵向夸张填满
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// verify_curtain_top.png —— 帘面俯视(二维)
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// verify_curtain_3d.png —— 帘面透视(三维)
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#include <fstream>
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#include <numeric>
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#include <sstream>
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#include <string>
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#include <vtkActor.h>
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#include <vtkNew.h>
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#include <vtkPNGWriter.h>
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#include <vtkRenderWindow.h>
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#include <vtkRenderer.h>
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#include <vtkWindowToImageFilter.h>
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#include "CameraPreset.hpp"
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#include "ColorLutBuilder.hpp"
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#include "actors/CurtainActor.hpp"
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#include "actors/GridContourActor.hpp"
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#include "actors/MapLineActor.hpp"
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#include "actors/ScatterActor.hpp"
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#include "geo/GeoLocalFrame.hpp"
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#include "parse/SampleParsers.hpp"
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static std::string slurp(const char* p) {
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std::ifstream f(p);
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std::stringstream s; s << f.rdbuf(); return s.str();
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}
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static void renderToPng(vtkRenderer* ren, const char* path, int w, int h) {
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vtkNew<vtkRenderWindow> rw;
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rw->SetOffScreenRendering(1);
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rw->AddRenderer(ren);
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rw->SetSize(w, h);
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rw->Render();
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vtkNew<vtkWindowToImageFilter> w2i; w2i->SetInput(rw);
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vtkNew<vtkPNGWriter> png; png->SetFileName(path);
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png->SetInputConnection(w2i->GetOutputPort()); png->Write();
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}
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int main() {
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using namespace geopro;
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const std::string dir = "D:/dev/spike_data/";
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core::Grid g = data::parseGrid(slurp((dir + "grid.json").c_str()));
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core::ColorScale cs = data::parseColorScale(slurp((dir + "colorbar.json").c_str()));
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// 1) 平面剖面 (#18) — 俯视看 XY 平面(face-on); 纵向夸张 1.5x 填满宽面板(物探惯例)
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{
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auto a = render::buildGridContour(g, cs);
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const double exag = 1.5;
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vtkNew<vtkRenderer> ren; ren->SetBackground(1, 1, 1);
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if (a.bands) { a.bands->SetScale(1.0, exag, 1.0); ren->AddActor(a.bands); }
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if (a.edges) { a.edges->SetScale(1.0, exag, 1.0); ren->AddActor(a.edges); }
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render::applyTop2D(ren);
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renderToPng(ren, (dir + "verify_section.png").c_str(), 1100, 360);
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}
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// GeoLocalFrame: 原点取 lat/lon 均值
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double lat0 = std::accumulate(g.lat.begin(), g.lat.end(), 0.0) / (g.lat.empty() ? 1 : g.lat.size());
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double lon0 = std::accumulate(g.lon.begin(), g.lon.end(), 0.0) / (g.lon.empty() ? 1 : g.lon.size());
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core::GeoLocalFrame frame(lat0, lon0);
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// 2) 二维地图：测线折线俯视(浅灰底)
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{
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auto line = render::buildSurveyLine(g, frame);
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vtkNew<vtkRenderer> ren; ren->SetBackground(0.96, 0.97, 0.99);
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ren->AddActor(line);
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render::applyTop2D(ren);
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renderToPng(ren, (dir + "verify_map.png").c_str(), 700, 500);
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}
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// 3) 帘面透视(三维)；纵向夸张 z*3，使 15m 深度相对 62m 长度更像一道墙
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{
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auto a = render::buildCurtain(g, cs, frame);
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a->SetScale(1.0, 1.0, 3.0);
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vtkNew<vtkRenderer> ren; ren->SetBackground(1, 1, 1);
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ren->AddActor(a);
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render::applyFree3D(ren);
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renderToPng(ren, (dir + "verify_curtain_3d.png").c_str(), 700, 500);
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}
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// 4) 散点 (#17) — 剖面原数据彩色方块散点; x=距离, y=深度(取负向下), face-on 俯视
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{
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core::ScatterField s = data::parseScatter(slurp((dir + "scatter.json").c_str()));
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core::ColorScale scs = data::parseColorScale(slurp((dir + "scatter_colorbar.json").c_str()));
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auto a = render::buildScatter(s, scs, 4.0F);
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vtkNew<vtkRenderer> ren; ren->SetBackground(1, 1, 1);
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ren->AddActor(a);
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render::applyTop2D(ren);
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renderToPng(ren, (dir + "verify_scatter.png").c_str(), 1100, 360);
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std::printf("SCATTER pts=%zu\n", s.v.size());
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}
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std::printf("RENDER_VERIFY_DONE grid=%dx%d lat0=%.5f lon0=%.5f\n", g.nx(), g.ny(), lat0, lon0);
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return 0;
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}
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