spike: 准备 S1 冒烟构建 + voxel 离线验证
- tools/validate_voxel.py: 两交叉剖面 IDW+maxDist 成体素, 切片可视化; 实证 105k 体素仅 15.9% 有约束(可信体需≥3线/3D网格) - CMakeLists: VTK find_package 指定 COMPONENTS(VTK9 必需, 否则 VTK_LIBRARIES 空) - vcpkg.json: 依赖按层递增, 当前仅 gtest(免 S1 被 GDAL/PROJ 拖慢)
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@ -25,7 +25,14 @@ endif()
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# =====================================================================
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find_package(Qt6 REQUIRED COMPONENTS Core Gui Widgets Network Sql Concurrent)
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find_package(VTK REQUIRED) # 来自 VTK_DIR（预编 install 前缀）；含 GUISupportQt
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# VTK 9 必须指定 COMPONENTS，否则 VTK_LIBRARIES 为空、链接不到任何 VTK。
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# 来自 VTK_DIR（external/vtk-install）。随渲染层增补模块（Volume/Filters 等）。
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find_package(VTK REQUIRED COMPONENTS
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GUISupportQt
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RenderingOpenGL2
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InteractionStyle
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FiltersSources
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)
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# 非 Qt 依赖（vcpkg），随分层逐步启用：
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# find_package(GDAL CONFIG REQUIRED)
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@ -0,0 +1,121 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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dd_voxel 离线验证 / 渲染基准：把两条交叉剖面(剖面原数据1+2)三维空间插值(IDW + maxDist 裁剪)
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成体素,切片可视化。用于:
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1) 提前验证 IDW + 包络裁剪算法(与 Phase 1 core/algo/IdwInterpolator 同逻辑);
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2) 把"可信体"问题看实——两条 1D 测线只在其所在竖直面附近有约束,体内大部分靠插值/留空;
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3) 产出 VTK 体绘制/切片的地面真值对照图。
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每个测点三维坐标 = (projX, projY, z=ylist[高程]),值 = vlist。
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运行: python tools/validate_voxel.py 输出: docs/_validate/voxel_*.png
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依赖: numpy, scipy, matplotlib
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"""
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import json
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import os
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import sys
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import numpy as np
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from scipy.spatial import cKDTree
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import matplotlib
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matplotlib.use("Agg")
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import matplotlib.pyplot as plt
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DATA = os.path.join(os.path.dirname(__file__), "..", "docs", "剖面网格数据的色阶数据2等文件")
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OUT = os.path.join(os.path.dirname(__file__), "..", "docs", "_validate")
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POWER = 2.0 # IDW 幂
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K = 8 # 取最近 K 个点
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MAX_DIST = 4.0 # 超过此距离(米)→ 留空(NaN),约束插值域(设计 §10)
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DXY = 1.0 # 水平网格步长(米)
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DZ = 0.5 # 垂向步长(米)
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def load_points(name):
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d = json.load(open(os.path.join(DATA, name), encoding="utf-8"))["data"]
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px = np.asarray(d["projectXList"], float)
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py = np.asarray(d["projectYList"], float)
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z = np.asarray(d["ylist"], float) # 高程
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v = np.asarray(d["vlist"], float)
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return np.column_stack([px, py, z]), v
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def idw_voxel(pts, vals, spec):
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ox, oy, oz, nx, ny, nz, dx, dy, dz = spec
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tree = cKDTree(pts)
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# 网格中心点
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gx = ox + (np.arange(nx) + 0.5) * dx
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gy = oy + (np.arange(ny) + 0.5) * dy
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gz = oz + (np.arange(nz) + 0.5) * dz
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GX, GY, GZ = np.meshgrid(gx, gy, gz, indexing="ij")
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Q = np.column_stack([GX.ravel(), GY.ravel(), GZ.ravel()])
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dist, idx = tree.query(Q, k=K)
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dist = np.maximum(dist, 1e-9)
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w = 1.0 / dist ** POWER
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vol = (w * vals[idx]).sum(1) / w.sum(1)
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vol[dist[:, 0] > MAX_DIST] = np.nan # 最近点都超距 → 留空
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return vol.reshape(nx, ny, nz), (gx, gy, gz)
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def main():
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os.makedirs(OUT, exist_ok=True)
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p1, v1 = load_points("剖面原数据1.txt")
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p2, v2 = load_points("剖面原数据2.txt")
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pts = np.vstack([p1, p2])
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vals = np.concatenate([v1, v2])
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# 局部化（减最小，规避大坐标；同 LocalFrame 思路）
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origin = pts.min(0)
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ptsL = pts - origin
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ext = ptsL.max(0)
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nx = int(ext[0] / DXY) + 1
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ny = int(ext[1] / DXY) + 1
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nz = int(ext[2] / DZ) + 1
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spec = (0, 0, 0, nx, ny, nz, DXY, DXY, DZ)
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print(f"points={len(vals)} grid={nx}x{ny}x{nz}={nx*ny*nz} cells "
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f"horiz_extent={ext[0]:.1f}x{ext[1]:.1f}m depth={ext[2]:.1f}m")
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vol, (gx, gy, gz) = idw_voxel(ptsL, vals, spec)
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filled = np.isfinite(vol).sum()
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print(f"filled cells={filled} ({100*filled/vol.size:.1f}%) "
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f"-> 其余为留空(两测线包络外无约束) | v[{np.nanmin(vol):.0f},{np.nanmax(vol):.0f}]")
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vmin, vmax = np.nanpercentile(vol, [2, 98])
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# 1) 中深度水平切片：应显示两条交叉的带(十字支撑)
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kz = nz // 2
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plt.figure(figsize=(6, 5))
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plt.imshow(vol[:, :, kz].T, origin="lower", extent=[0, ext[0], 0, ext[1]],
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cmap="turbo", vmin=vmin, vmax=vmax)
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plt.scatter(ptsL[:, 0], ptsL[:, 1], s=1, c="k", alpha=0.15)
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plt.title(f"voxel 水平切片 z={gz[kz]:.1f} (应见交叉十字支撑)")
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plt.xlabel("E(m)"); plt.ylabel("N(m)"); plt.colorbar(shrink=.8)
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plt.tight_layout(); plt.savefig(f"{OUT}/voxel_hslice.png", dpi=90); plt.close()
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# 2) 沿 E 的垂直切片（取 profile1 附近 N）：应重现剖面竖直结构
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jy = ny // 2
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plt.figure(figsize=(8, 3))
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plt.imshow(vol[:, jy, :].T, origin="lower", extent=[0, ext[0], 0, ext[2]],
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cmap="turbo", vmin=vmin, vmax=vmax, aspect="auto")
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plt.title(f"voxel 垂直切片 N={gy[jy]:.1f}")
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plt.xlabel("E(m)"); plt.ylabel("elev(m)"); plt.colorbar(shrink=.8)
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plt.tight_layout(); plt.savefig(f"{OUT}/voxel_vslice.png", dpi=90); plt.close()
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# 3) 非留空区的三维散点（直观看"十字片"支撑）
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xi, yi, zi = np.where(np.isfinite(vol))
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sub = slice(None, None, max(1, len(xi) // 6000))
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fig = plt.figure(figsize=(7, 5)); ax = fig.add_subplot(111, projection="3d")
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sc = ax.scatter(gx[xi[sub]], gy[yi[sub]], gz[zi[sub]],
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c=vol[xi[sub], yi[sub], zi[sub]], cmap="turbo",
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vmin=vmin, vmax=vmax, s=3)
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ax.set_title("voxel 非留空区(两测线竖直面附近=十字片)")
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ax.set_xlabel("E"); ax.set_ylabel("N"); ax.set_zlabel("elev")
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fig.colorbar(sc, shrink=.6)
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plt.tight_layout(); plt.savefig(f"{OUT}/voxel_support.png", dpi=90); plt.close()
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print("written:", sorted(f for f in os.listdir(OUT) if f.startswith("voxel")))
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if __name__ == "__main__":
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sys.stdout.reconfigure(encoding="utf-8")
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main()
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@ -1,15 +1,8 @@
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{
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"name": "geopro-desktop",
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"version": "0.1.0",
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"description": "Geopro 3.0 desktop client (Qt6 + VTK9) - M1. 方案②-修订: 仅非 Qt 依赖走 vcpkg; Qt/VTK/ADS/QtKeychain 对接官方 MSVC Qt(见 docs/ENV_SETUP_Windows.md)",
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"description": "Geopro 3.0 desktop client (Qt6 + VTK9) - M1. 方案②-修订: Qt/VTK/ADS/QtKeychain 对接官方 MSVC Qt(不走 vcpkg); 仅非 Qt 依赖走 vcpkg, 按层递增。",
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"dependencies": [
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"gdal",
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"proj",
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"eigen3",
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"spdlog",
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"fmt",
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"nlohmann-json",
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"openssl",
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"gtest"
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]
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}
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