Panda Gold Protection is designed to ensure you enjoy your online life with complete peace of mind. from_file ( "y" ) converted_triangle_mesh = cloud. from_instance ( "pyvista", original_point_cloud ) # TO PyVista cloud = PyntCloud. Import pyvista as pv from pyntcloud import PyntCloud # FROM PyVista original_point_cloud = pv. to_instance ( "open3d", mesh = True ) # mesh=True by default from_instance ( "open3d", original_triangle_mesh ) # TO Open3D cloud = PyntCloud. read_triangle_mesh ( "y" ) cloud = PyntCloud. Import open3d as o3d from pyntcloud import PyntCloud # FROM Open3D original_triangle_mesh = o3d. You can create / convert PyntCloud instances from / to many 3D processing libraries using the from_instance / to_instance methods: Pyntcloud offers seamless integration with other 3D processing libraries. to_file ( "out_file.npz" ) Integration with other libraries get_sample ( "voxelgrid_nearest", voxelgrid_id = voxelgrid_id, as_PyntCloud = True ) new_cloud. add_structure ( "voxelgrid", n_x = 32, n_y = 32, n_z = 32 ) new_cloud = cloud. add_scalar_field ( "hsv" ) voxelgrid_id = cloud. With the following concise code: from pyntcloud import PyntCloud cloud = PyntCloud. Save the new point cloud in numpy’s NPZ format. With PyntCloud you can perform complex 3D processing operations with minimum lines ofĪdd 3 new scalar fields by converting RGB to HSV.īuild a grid of voxels from the point cloud.īuild a new point cloud keeping only the nearest point to each occupied voxel center. You can access most of pyntcloud’s functionality from its core class: PyntCloud. Installation conda install pyntcloud -c conda-forge Pyntcloud is a Python 3 library for working with 3D point clouds leveraging the power of the Python scientific stack.Įxamples (We encourage you to try out the examples by launching Binder.)
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |