pyntcloud | Python library for working with 3D point clouds | Machine Learning library

by daavoo Python Version: 0.3.1 License: MIT

X-Ray Key Features Code Snippets(8)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pyntcloud Summary

pyntcloud is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Numpy applications. pyntcloud has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install pyntcloud' or download it from GitHub, PyPI.

pyntcloud is a Python library for working with 3D point clouds.

Support

Quality

Security

License

Reuse

Support

pyntcloud has a medium active ecosystem.

It has 1262 star(s) with 218 fork(s). There are 43 watchers for this library.

It had no major release in the last 12 months.

There are 52 open issues and 125 have been closed. On average issues are closed in 162 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyntcloud is 0.3.1

Quality

pyntcloud has 0 bugs and 0 code smells.

Security

pyntcloud has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyntcloud code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyntcloud is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pyntcloud releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed pyntcloud and discovered the below as its top functions. This is intended to give you an instant insight into pyntcloud implemented functionality, and help decide if they suit your requirements.

Plot the scene
Plot a cloud using matplotlib
Get color from cloud
Set aspect ratio
Read PCD data from a PCD file
Parse the header of the file
Build a numpy dtype from metadata
Return the projected area of a plane
Calculate the area of the coplanarar area
Read alas file
Convert a color to a dtype
Read a las las file
Returns the data type of the column data
Plot a voxel grid
Compute the feature vector
Plot a voxelgrid
Group the number of indices by the number of times
Calculate the distance between the points
Calculate the distance between two points
Create a plane from a point cloud
Compute the PCA matrix and eigenvectors
Performs a single fit
Perform a single fit
Update points on the dataframe
Updates self points

Get all kandi verified functions for this library.

pyntcloud Key Features

No Key Features are available at this moment for pyntcloud.

pyntcloud Examples and Code Snippets

PPLP : Pedestrian Planar LiDAR Pose Network for Oriented Pedestrian Detection Based on Planar LiDAR and Monocular Images,Getting Started

Python

Lines of Code : 12

License : Permissive (MIT)

Copy

git clone https://github.com/BoomFan/PPLP.git

cd PPLP
pip3 install -r requirements.txt
pip3 install tensorflow-gpu==1.3.0

add2virtualenv .
add2virtualenv wavedata

export PYTHONPATH=$PYTHONPATH:'/path/to/PPLP'
export PYTHONPATH=$PYTHONPATH:'/path/t

PPLP : Pedestrian Planar LiDAR Pose Network for Oriented Pedestrian Detection Based on Planar LiDAR and Monocular Camera,Getting Started

Python

Lines of Code : 11

License : Permissive (MIT)

Copy

cd PPLP
pip3 install -r requirements.txt
pip3 install tensorflow-gpu==1.3.0

add2virtualenv .
add2virtualenv wavedata

export PYTHONPATH=$PYTHONPATH:'/path/to/PPLP'
export PYTHONPATH=$PYTHONPATH:'/path/to/PPLP/wavedata'

sh scripts/install/build_inte

Usage and file structures:

Python

Lines of Code : 5

License : No License

Copy

# classification data
wget https://shapenet.cs.stanford.edu/media/modelnet40_normal_resampled.zip

# segmentation data
wget https://shapenet.cs.stanford.edu/media/shapenetcore_partanno_segmentation_benchmark_v0_normal.zip

Split point cloud into cells of specific size in Python

Python

Lines of Code : 11

License : Strong Copyleft (CC BY-SA 4.0)

Copy

from pyntcloud import PyntCloud

cloud = PyntCloud.from_file("SAVA_000012.las")

# Using 0.15 just for example. Omit `z` for 2D grid
voxelgrid_id = cloud.add_structure("voxelgrid", size_x=0.15, size_y=0.15)

voxelgrid = cloud.structures[vo

How to export a point cloud?

Python

Lines of Code : 12

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import numpy as np
import pandas as pd

from pyntcloud import PyntCloud

cloud = PyntCloud(pd.DataFrame(
    # same arguments that you are passing to visualize_pcl
    data=np.hstack((points, colors)),
    columns=["x", "y", "z", "red", "g

Geometry - Divide 3D points into segments with specific angle

Python

Lines of Code : 18

License : Strong Copyleft (CC BY-SA 4.0)

Copy

from pyntcloud import PyntCloud
cylinder = PyntCloud.from_file("cylinder.ply")

n_points = 100000
cylinder = cylinder.get_sample(
    "mesh_random_sampling",
     n=n_points,
     as_PyntCloud=True)

Is Gaussian & Mean Curvatures Applicable for Rough Surfaces?

Python

Lines of Code : 15

License : Strong Copyleft (CC BY-SA 4.0)

Copy

from pyntcloud import PyntCloud
cloud = PyntCloud.from_file("Box.ply")

k_neighbors = cloud.get_neighbors(k=10)

ev = cloud.add_scalar_field("eigen_values", k_neighbors=k_neighbors)

Point Cloud to Volume

Python

Lines of Code : 28

License : Strong Copyleft (CC BY-SA 4.0)

Copy

from pyntcloud import PyntCloud
diamond = PyntCloud.from_file("test/data/diamond.ply")

convex_hull_id = diamond.add_structure("convex_hull")

convex_hull = diamond.structures[convex_hull_id]

Community Discussions

Trending Discussions on pyntcloud

pyntcloud to polyhedral from pointcloud with normals

Find a center of a cross in point-cloud

QUESTION

pyntcloud to polyhedral from pointcloud with normals

Asked 2019-Oct-17 at 22:58

I have a pointcloud which I imported to the pyntcloud libray as a series of points, it is a fully 3D pointcloud, as in it bounds forms a volume.

...

ANSWER

Answered 2019-Oct-17 at 22:58

CloudCompare has a plugin that can do this. It uses an open source plugin that does "Poisson reconstruction", see https://www.cs.jhu.edu/~misha/Code/PoissonRecon/Version12.00/ It Generates .ply files.

Source https://stackoverflow.com/questions/53738507

QUESTION

Find a center of a cross in point-cloud

Asked 2019-Feb-17 at 19:22

I have a point cloud of a cross made from two cylinders taken from the top. I don't know how to determine the center point of crossed elements located on the top edge of the highest cylinder?

I am not so good in Python scripting yet, and discovered 'PyntCloud' library several days ago. My knowledge was enough to cut the point-cloud taken from Intel Real-Sense camera from background (surrounding) with help of bounding box and curvature. I tried to simplify the point cloud with voxel grid, but now I am not sure if it may help me to find the center.

output.ply - PLY used in the code

Screen.png - Screenshot with marked central points

The piece of code is taken from Jupyter Notebook:

...

ANSWER

Answered 2019-Feb-17 at 19:22

As I mentioned in comments, 'centroid' was not a solution here because the cross was not symmetrical. The solution was to work with numpy library and determined a zone of the cylinders cross in relation to density of the points which were taken from numpy.histogram along each axis and created a filter, based on these values. Then the point-cloud was cropped so from the top the figure looked like rectangle (and was almost symmetrical). Only then I used a mask (numpy.isin) and determined what is the coordinates and index of the closest point to the 'centroid'.

Source https://stackoverflow.com/questions/54687919

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyntcloud

You can install using 'pip install pyntcloud' or download it from GitHub, PyPI.
You can use pyntcloud like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: