pyntcloud
pyntcloud is a Python library for working with 3D point clouds.
파일 탐색기
최종 버전 다운로드 (.zip)- bug_report.md
- feature_request.md
- pyntcloud_cd.yml
- tests.yaml
- dependabot.yml
- environment.yml
- postBuild
- boxplot.png
- plot1.gif
- plot2.gif
- plot3.gif
- pyntcloud_logo.png
- pyntcloud_logo_small.png
- pyntcloud_logo_square.png
- scatter_matrix.png
- _config.yml
- conf.py
- contributing.rst
- filters.rst
- filters_dev.rst
- index.rst
- installation.rst
- introduction.rst
- io.rst
- io_dev.rst
- make.bat
- Makefile
- points.rst
- PyntCloud.rst
- requirements.txt
- samplers.rst
- samplers_dev.rst
- scalar_fields.rst
- scalar_fields_dev.rst
- structures.rst
- structures_dev.rst
- scalar_fields-eigen_values-1.png
- scalar_fields-eigen_values-2.png
- scalar_fields-eigen_values-3.png
- scalar_fields-eigen_values-4.png
- scalar_fields-eigen_values-5.png
- scalar_fields-eigen_values-6.png
- scalar_fields-eigen_values-7.png
- scalar_fields-eigen_values-8.png
- scalar_fields-normals-1.png
- scalar_fields-normals-2.png
- scalar_fields-normals-3.png
- scalar_fields-normals-4.png
- structures-voxelgrid-1.png
- structures-voxelgrid-2.png
- structures-voxelgrid-3.png
- structures-voxelgrid-4.png
- structures-voxelgrid-5.png
- structures-voxelgrid-6.png
- structures-voxelgrid-7.png
- structures-voxelgrid-8.png
- structures-voxelgrid-9.png
- visualization-Polylines-1.png
- visualization-Polylines-2.png
- visualization-Polylines-3.png
- visualization-PyntCloud-1.png
- ankylosaurus_mesh.ply
- [scalar_fields] eigenvalues.ipynb
- [scalar_fields] normals.ipynb
- [structures] VoxelGrid.ipynb
- [visualization] Polylines.ipynb
- [visualization] PyntCloud.ipynb
- __init__.py
- base.py
- kdtree.py
- xyz.py
- __init__.py
- base.py
- plane.py
- sphere.py
- __init__.py
- areas.py
- coord_systems.py
- rotations.py
- __init__.py
- ascii.py
- bin.py
- las.py
- npz.py
- obj.py
- off.py
- open3d.py
- pcd.py
- ply.py
- pyvista.py
- __init__.py
- k_neighbors.py
- r_neighbors.py
- __init__.py
- common.py
- matplotlib_backend.py
- pythreejs_backend.py
- pyvista_backend.py
- voxelgrid.py
- __init__.py
- fitters.py
- models.py
- samplers.py
- __init__.py
- base.py
- mesh.py
- points.py
- voxelgrid.py
- __init__.py
- base.py
- eigenvalues.py
- k_neighbors.py
- normals.py
- rgb.py
- voxelgrid.py
- xyz.py
- __init__.py
- base.py
- convex_hull.py
- delaunay.py
- kdtree.py
- voxelgrid.py
- __init__.py
- array.py
- dataframe.py
- mesh.py
- numba.py
- __init__.py
- core_class.py
- diamond.bin
- diamond.dae
- diamond.json
- diamond.las
- diamond.laz
- diamond.npy
- diamond.npz
- diamond.obj
- diamond.off
- diamond.ply
- diamond.vtk
- diamond.x3d
- diamond.xyz
- diamond_ascii.ply
- diamond_ascii.stl
- diamond_ascii_vertex_index.ply
- diamond_color.obj
- diamond_color.off
- diamond_with_bool.ply
- has_offsets.las
- mnist.npz
- obj_issue_221.obj
- obj_issue_226.obj
- obj_issue_vn.obj
- plane.npz
- simple.las
- simple.laz
- sphere.ply
- voxelgrid.ply
- test_kdtree_filters.py
- test_xyz_filters.py
- test_from_file.py
- test_from_instance.py
- test_to_file.py
- test_to_instance.py
- test_mesh_samplers.py
- test_points_samplers.py
- test_voxelgrid_samplers.py
- test_eigenvalues_scalar_fields.py
- test_k_neighbors_scalar_fields.py
- test_normals_scalar_fields.py
- test_rgb_scalar_fields.py
- test_voxlegrid_scalar_fields.py
- test_xyz_scalar_fields.py
- test_voxelgrid_structures.py
- test_core_class.py
- test_kdtree_filters.py
- test_xyz_filters.py
- test_samplers_ransac.py
- test_mesh_samplers.py
- test_points_samplers.py
- test_voxelgrid_samplers.py
- test_eigenvalues_scalar_fields.py
- test_k_neighbors_scalar_fields.py
- test_normals_scalar_fields.py
- test_rgb_scalar_fields.py
- test_voxlegrid_scalar_fields.py
- test_xyz_scalar_fields.py
- test_voxelgrid_structures.py
- test_geometry.py
- conftest.py
- .gitattributes
- .gitignore
- .pre-commit-config.yaml
- CODE_OF_CONDUCT.md
- LICENSE.md
- pyproject.toml
- README.md
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/daavoo/pyntcloud
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd pyntcloud
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. 공식 설치 스크립트
쉬움 추천사전 준비물
- Python 3 pip 명령어를 쓰려면 Python이 필요합니다.
pip install pyntcloud
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
설치 후 새 터미널을 열고, 프로그램의 버전 확인 명령(예: --version)으로 정상 설치됐는지 확인하세요.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
// repository documentation
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