import open3d as op3 import numpy as np import copy def read_and_show(): pcd = op3.io.read_point_cloud("demodata/PointCloudXYZRGB.ply") return pcd def downshape(pcd): downpcd = pcd.voxel_down_sample(voxel_size=0.00001) return downpcd #op3.io.write_point_cloud("pdc1",downpcd) def compute_normal_of_clound(pcd): pcd2 = copy.deepcopy(pcd) pcd2.estimate_normals(search_param=op3.geometry.KDTreeSearchParamHybrid( radius=0.01,max_nn=30)) # #op3.visualization.draw_geometries([pcd2]) return pcd2 #op3.io.write_point_cloud("pdc1",pcd2) if __name__ == "__main__": pcd = read_and_show() downpcd = downshape(pcd) op3.visualization.draw_geometries([pcd]) op3.visualization.draw_geometries([downpcd]) downpcd2 = compute_normal_of_clound(downpcd) #op3.visualization.draw_geometries([downpcd2]) print(downpcd.normals[0]) #print(downpcd2.normals[0]) print(pcd2.normals[0]) 这串代码有什么问题
时间: 2023-06-03 18:06:16 浏览: 130
这段代码使用了 open3d 库,并导入了 numpy 和 copy。read_and_show 函数读取了名为 "PointCloudXYZRGB.ply" 的点云数据,并返回了点云对象。downshape 函数将输入的点云对象进行体素下采样,并返回下采样后的点云对象。
相关问题
if __name__ == "__main__": pcd = read_and_show() downpcd = downshape(pcd) op3.visualization.draw_geometries([pcd]) op3.visualization.draw_geometries([downpcd]) downpcd2 = compute_normal_of_clound(downpcd) #op3.visualization.draw_geometries([downpcd2]) print(downpcd.normals[0]) print(downpcd2.normals[0]) print语句的内容怎么理解
如果__name__ == "__main__":pcd = read_and_show(),则downpcd = downshape(pcd) op3.visualization.draw_geometries([pcd]) op3.visualization.draw_geometries([downpcd]) downpcd2 = compute_normal_of_clound(downpcd)。
用流程图解释for i in range(2,int(math.sqrt(x))+1): if x%i==0: return False return True
```flow
st=>start: 开始
op1=>operation: 设变量i从2到int(math.sqrt(x))+1循环
op2=>operation: 判断x能否被i整除
cond=>condition: 如果能整除,返回False
op3=>operation: 如果不能整除,继续循环
cond2=>condition: 如果i大于等于int(math.sqrt(x))+1,返回True
e=>end: 结束
st->op1->op2->cond
cond(yes)->e
cond(no)->op3->op1
cond2(no)->op2
cond2(yes)->e
```