openp3d点云三角化

点云三角化是将离散的点云数据转换成三角网格模型的过程。open3d提供了一个函数triangulate_points()来实现点云的三角化。以下是一个简单的例子：

import open3d as o3d

# 读取点云数据
pcd = o3d.io.read_point_cloud("point_cloud.pcd")

# 进行三角化
mesh, _ = o3d.geometry.TriangleMesh.create_from_point_cloud_poisson(pcd, depth=8)

# 可视化三角化结果
o3d.visualization.draw_geometries([mesh])

在上面的例子中，我们首先读取了一个点云文件，然后使用`create_from_point_cloud_poisson()`函数进行三角化，其中`depth`参数控制三角化的精度。最后，我们使用`draw_geometries()`函数可视化了三角化结果。

相关问题

修改以下代码，使他避开障碍物：def Astar(Map): s = Point(Map.start, None, None) openlist = [s] closedlist = [] s.get_f(Map.goal) while openlist: n = openlist.pop(0) if n.position[0] == Map.goal[0] and n.position[1] == Map.goal[1]: return n else: closedlist.append(n) subp_list = Point.EXPAND(n, Map) for subp in subp_list: subp.get_f(Map.goal) for openp in openlist: if openp.position[0] == subp.position[0] and openp.position[1] == subp.position[1]: if subp.f < openp.f: openlist.remove(openp) openlist.append(subp) for closedp in closedlist: if closedp.position[0] == subp.position[0] and closedp.position[1] == subp.position[1]: if subp.f < closedp.f: closedlist.remove(closedp) openlist.append(subp) openlist.append(subp) openlist.sort(key= lambda x:x.f)

Sure, here's the modified code that avoids obstacles using A* algorithm:

def Astar(Map):
    s = Point(Map.start, None, None)
    openlist = [s]
    closedlist = []
    s.get_f(Map.goal)
    while openlist:
        n = openlist.pop(0)
        if n.position[0] == Map.goal[0] and n.position[1] == Map.goal[1]:
            return n
        else:
            closedlist.append(n)
            subp_list = Point.EXPAND(n, Map)
            for subp in subp_list:
                if Map.is_obstacle(subp.position[0], subp.position[1]):
                    continue
                subp.get_f(Map.goal)
                for openp in openlist:
                    if openp.position[0] == subp.position[0] and openp.position[1] == subp.position[1]:
                        if subp.f < openp.f:
                            openlist.remove(openp)
                            openlist.append(subp)
                            break
                else:
                    for closedp in closedlist:
                        if closedp.position[0] == subp.position[0] and closedp.position[1] == subp.position[1]:
                            if subp.f < closedp.f:
                                closedlist.remove(closedp)
                                openlist.append(subp)
                                break
                    else:
                        openlist.append(subp)
            openlist.sort(key=lambda x: x.f)

The modification is done by adding a check for obstacles in the sub-points list and skipping those points, as well as updating the open and closed lists based on the new condition.