暂时可用的ISG

brep2sdf/IsoSurfacing.py

@@ -20,6 +20,10 @@ def create_grid(depth, box_size):
     z = np.linspace(start, end, grid_size)
     xx, yy, zz = np.meshgrid(x, y, z, indexing='ij')
     points = np.stack([xx.ravel(), yy.ravel(), zz.ravel()], axis=1)
+    
+    # 新增归一化处理
+    max_coord = np.max(np.abs(points))
+    points = points / max_coord  # 归一化到[-1,1]
     return points, xx, yy, zz
 
 def predict_sdf(model, points, device):
@@ -36,7 +40,7 @@ def predict_sdf(model, points, device):
         sdf = model(points_t).cpu().numpy().flatten()
     return sdf
 
-def extract_surface(sdf, xx, yy, zz, method='MC'):
+def extract_surface(sdf, xx, yy, zz, method='MC', feature_angle=30.0, voxel_size=0.01):
     """
     提取零表面
     :param sdf: SDF值三维数组
@@ -46,8 +50,21 @@ def extract_surface(sdf, xx, yy, zz, method='MC'):
     """
     if method == 'MC':
         verts, faces, _, _ = measure.marching_cubes(sdf, level=0)
+    elif method == 'EMC':
+        from iso_algorithms import enhanced_marching_cubes
+        verts, faces = enhanced_marching_cubes(
+            sdf, 
+            feature_angle=feature_angle,
+            gradient_direction='descent'
+        )
+    elif method == 'DC':
+        from iso_algorithms import dual_contouring
+        verts, faces = dual_contouring(sdf, voxel_size=voxel_size)
     else:
-        raise NotImplementedError("仅支持Marching Cubes方法")
+        raise ValueError(f"不支持的算法: {method}")
+    
+    # 新增顶点后处理
+    verts = (verts - sdf.shape[0]//2) / (sdf.shape[0]//2)  # 归一化到[-1,1]
     return verts, faces
 
 def save_ply(vertices, faces, filename):
@@ -111,9 +128,16 @@ def main():
     parser = argparse.ArgumentParser(description='IsoSurface Generator')
     parser.add_argument('-i', '--input', type=str, required=True, help='Input model file (.pt)')
     parser.add_argument('-o', '--output', type=str, required=True, help='Output mesh file (.ply)')
-    parser.add_argument('--depth', type=int, default=3, help='网格深度（分辨率）')
-    parser.add_argument('--box_size', type=float, default=1.0, help='边界框大小')
-    parser.add_argument('--method', type=str, default='MC', choices=['MC'], help='表面提取方法')
+    parser.add_argument('--depth', type=int, default=7, help='网格深度（分辨率）')
+    parser.add_argument('--box_size', type=float, default=2.0,  # 从1.0改为2.0
+                       help='边界框大小（建议设为2.0以得到[-1,1]范围）')
+    parser.add_argument('--method', type=str, default='MC', 
+                       choices=['MC', 'EMC', 'DC'],  # 新增算法选项
+                       help='表面提取方法: MC-MarchingCubes, EMC-EnhancedMC, DC-DualContouring')
+    parser.add_argument('--feature_angle', type=float, default=30.0,
+                       help='特征角度阈值(EMC算法专用)')
+    parser.add_argument('--voxel_size', type=float, default=0.01,
+                       help='体素尺寸(DC算法专用)')
     parser.add_argument('--use-gpu', action='store_true', help='使用GPU')
     parser.add_argument('--compare', type=str, help='GT网格文件（.ply）')
     parser.add_argument('--compres', type=int, default=32, help='误差计算分辨率')
@@ -139,6 +163,11 @@ def main():
     print("Extracting surface...")
     start_time = time.time()
     verts, faces = extract_surface(sdf_grid, xx, yy, zz, args.method)
+    
+    # 新增顶点归一化校验
+    max_val = np.max(np.abs(verts))
+    if max_val > 1.0 + 1e-6:  # 允许微小误差
+        verts = verts / max_val
     print(f"Surface extraction took {time.time() - start_time:.2f} seconds")
 
     # 保存网格