ply_point_cloud = o3d.io.read_point_cloud(ply_file) # 检查点云数据是否正确加载 if ply_point_cloud.is_empty(): print("Failed to load the point cloud from bunny.ply") else: # 获取点云数据 points = np.asarray(ply_point_cloud.points) # 保存为TXT文件 try: np.savetxt(txt_file, poi...
Point cloud - Open3D 0.18.0 documentation 读取点云 pcd = o3d.io.read_point_cloud("../../test_data/fragment.ply") 可视化点云 o3d.visualization.draw_geometries([pcd], zoom=0.3412, front=[0.4257, -0.2125, -0.8795], lookat=[2.6172, 2.0475, 1.532], up=[-0.0694, -0.9768, 0.2024]) 体...
Crop point cloud 裁剪点云 import open3d as o3d print("Load a polygon volume and use it to crop the original point cloud") demo_crop_data_point_cloud_path = r'fragment.ply' demo_crop_data_cropped_json_path = r'cropped.json' pcd = o3d.io.read_point_cloud(demo_crop_data_point_cloud...
import open3d as o3d pcd = o3d.io.read_point_cloud("../test_data/fragment.pcd") # 读取pcd文件 print(pcd) #只是简单的打印信息:PointCloud with 113662 points. #显示,zoom等信息是一些可选项 o3d.visualization.draw_geometries([pcd]) # o3d.visualization.draw_geometries([pcd], zoom=0.3412, ...
>>>Testing IO for point cloud ...>>>geometry::PointCloud with 113662 points. print()能用来显示点云的摘要. open3d可以通过文件扩展名自动推断文件类型,下面是支持的点云文件类型。 也可以显示的指定文件类型,这样将会忽略文件扩展名。 pcd =o3d.io.read_point_cloud("../../my_points.txt",format...
pcd = o3d.io.read_point_cloud("./face.ply") #pcd = o3d.io.read_point_cloud("./my_points.txt", format='xyz') #pcd = o3d.io.read_point_cloud("./face.pcd") print(pcd) print(np.asarray(pcd.points)) o3d.visualization.draw_geometries([pcd], ...
(np.concatenate((colors, colors2)) / 255.0) o3d.io.write_point_cloud(path + "/" + str(idx) + ".ply", pcd, write_ascii=True) while True: t1 = threading.Thread(target=save_ply, args=( self.record_folder_name, self.idx, self.points, self.colors, self.points2, self.colors2))...
Read PointCloud: 137833 vertices. Pointcloud down sampled from 137833 points to 19137 points. PCD header indicates 8 fields, 32 bytes per point, and 191397 points in total. x, F, 4, 1, 0 y, F, 4, 1, 4 z, F, 4, 1, 8 rgb, F, 4, 1, 12 normal_x, F, 4, 1, 16 normal...
首先了解一下什么是PCD格式的文件,PCD(Point Cloud Data) 文件是 PCL(Point Cloud Library) 引入的一种新的描述点云的格式。让我详细介绍一下 PCD 文件的结构和内容。 (1)文件头部: 每个PCD 文件都包含一个文件头,用于标识并声明存储在文件中的点云数据的一些特性。
:pyobject: preprocess_point_cloud :linenos: :lineno-match: This function downsamples a point cloud to make it sparser and regularly distributed. Normals and FPFH feature are precomputed. See Expand All @@ -36,9 +36,9 @@ Compute initial registration .. literalinclude:: ../../../example...