fix: 修改数据加载process_brep_data，防止维度超过最大（用截取）

brep2sdf/data/utils.py

@@ -1169,15 +1169,19 @@ def process_brep_data(data: dict, max_face: int, max_edge: int, bbox_scaled: flo
     vertex_pos = vertex_pos[random_indices]  # [num_faces, max_edge, 2, 3]
     
     # 填充到最大面数
-    surf_pos = pad_zero(surf_pos, max_face)     # [max_face, 6]
+    surf_pos, face_mask = pad_zero(surf_pos, max_face, return_mask=True)  # [max_face, 6]
     surf_ncs = pad_zero(surf_ncs, max_face)     # [max_face, 100, 3]
     edge_pos = pad_zero(edge_pos, max_face)     # [max_face, max_edge, 6]
     edge_ncs = pad_zero(edge_ncs, max_face)     # [max_face, max_edge, 10, 3]
     vertex_pos = pad_zero(vertex_pos, max_face)  # [max_face, max_edge, 2, 3]
     
-    # 扩展边掩码
+    # 扩展边掩码 - 使用face_mask来创建新的edge_mask
-    padding = np.zeros((max_face-len(edge_mask), *edge_mask.shape[1:])) == 0  # [max_face-num_faces, max_edge]
+    if len(edge_mask) > max_face:
-    edge_mask = np.concatenate([edge_mask, padding], 0)  # [max_face, max_edge]
+        edge_mask = edge_mask[:max_face]
+    else:
+        # 创建填充掩码
+        padding = np.zeros((max_face-len(edge_mask), max_edge), dtype=bool)
+        edge_mask = np.concatenate([edge_mask, padding], axis=0)  # [max_face, max_edge]
     
     # 转换为张量并返回
     if data_class is not None: