python-pcl | Python bindings to the pointcloud library | QRCode Processing library

by strawlab Python Version: 0.3.0a1 License: Non-SPDX

X-Ray Key Features Code Snippets(7)Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | python-pcl Summary

python-pcl is a Python library typically used in Utilities, QRCode Processing, OpenCV applications. python-pcl has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However python-pcl has a Non-SPDX License. You can install using 'pip install python-pcl' or download it from GitHub, PyPI.

Python bindings to the pointcloud library (pcl)

Support

Quality

Security

License

Reuse

Support

python-pcl has a medium active ecosystem.

It has 1848 star(s) with 676 fork(s). There are 58 watchers for this library.

It had no major release in the last 12 months.

There are 244 open issues and 77 have been closed. On average issues are closed in 215 days. There are 20 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-pcl is 0.3.0a1

Quality

python-pcl has 0 bugs and 0 code smells.

Security

python-pcl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-pcl code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-pcl has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

python-pcl releases are available to install and integrate.

Deployable package is available in PyPI.

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

python-pcl saves you 1276 person hours of effort in developing the same functionality from scratch.

It has 2867 lines of code, 142 functions and 59 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Get the runtime environment for the given plat_spec
Try to find the Visual Studio version
Find Visual C ++ version
Find the Visual C ++ version
Resolve the source code of the module
Import object by fullname
Convert a depth color to cloud

Get all kandi verified functions for this library.

python-pcl Key Features

No Key Features are available at this moment for python-pcl.

python-pcl Examples and Code Snippets

RoboND-Perception-Exercises,Documentation for

Python

Lines of Code : 14

License : Permissive (MIT)

Copy

Generates a random set of r,g,b values
Return: a 3-tuple with r,g,b values (range 0-255)

Converts sensor_msgs/PointCloud2 to XYZRGB Point Cloud
Return: pcl.PointCloud_PointXYZRGB

Converts XYZRGB Point Cloud to sensor_msgs/PointCloud2
Return: sensor

Environment Setup

Python

Lines of Code : 11

License : No License

Copy

$ mkdir -p ~/catkin_ws/src
$ cd ~/catkin_ws/
$ catkin_make

$ cd ~/catkin_ws/src
$ git clone https://github.com/udacity/RoboND-Perception-Project.git

$ cd ~/catkin_ws
$ rosdep install --from-paths src --ignore-src --rosdistro=kinetic -y

$ cd ~/catk

Locus,Usage,Set up environment

Python

Lines of Code : 4

License : Non-SPDX (NOASSERTION)

Copy

conda create --name locus_env python=3.6
conda activate locus_env
pip install -r requirements.txt

./utils/get_segmap_data.bash

Install PCL Library on Python/Ubuntu 18.04 LTS

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

sudo add-apt-repository ppa:sweptlaser/python3-pcl
sudo apt update
sudo apt install python3-pcl

how to load pcd file in pycharm

Python

Lines of Code : 3

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import pypcd
pc = pypcd.PointCloud.from_path('table_scene_lms400.pcd')

Alternative to PCL on Python for Processing and Visualization

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

pip install open3d-python==0.3.0.0

Python pcl has no attribute from_array

Python

Lines of Code : 94

License : Strong Copyleft (CC BY-SA 4.0)

Copy

class_names = dict([(name, cls) for name, cls in pcl.__dict__.items() if isinstance(cls, type)])
for name, cls in class_names.items():
    print(name)

PointCloud
PointCloud_PointXYZI
PointCloud_PointXYZRGB
PointClo

Community Discussions

Trending Discussions on python-pcl

Alternative to PCL on Python for Processing and Visualization

Issues about installing PCL in my computer

double to float without rounding python

Downsampling point clouds to specific number of points while retaining shape

Conda Packages Need Conflicting Numpy Versions

QUESTION

Alternative to PCL on Python for Processing and Visualization

Asked 2019-Feb-19 at 18:21

I am using rospy to receive pointclouds. For processing these pointclouds, there is a package called python-pcl, I was unable to get it running, since it was extremely buggy and non-functional, tons of issues on Github, etc.

I wish to know if there is another library in Python for processing pointclouds? I am receiving a pointcloud over ROS as follows:

...

ANSWER

Answered 2019-Feb-19 at 15:25

There is a python library called "open3D" which provides a stable platform for Point cloud processing. Read the docs here: http://www.open3d.org/docs/

To make it work with ROS you need to install the older version of open3D by using pip as

Source https://stackoverflow.com/questions/54761250

QUESTION

Issues about installing PCL in my computer

Asked 2018-Dec-18 at 10:51

When I try to install python-pcl(PCL is the point cloud library for presentation like laser radar data. I followed the instruction on https://github.com/strawlab/python-pcl ,and I have already copied travis/pcl-2d-1.8.pc file to /usr/local/lib/pkgconfig folder) in my computer. I typed AppledeMacBook-Pro-3:python-pcl-0.3.0rc1 apple$ python setup.py install in my terminal.Then I encountered a problem below:

...

ANSWER

Answered 2018-Dec-18 at 08:42

This is a special issue with current MacOS-installations. You could tweak setup.py and add, as the warning suggest, -std=libc++ to the compile-options, i.e.

Source https://stackoverflow.com/questions/53809584

QUESTION

double to float without rounding python

Asked 2018-Nov-25 at 19:04

say a = 580991.3636

When I b = np.float32(a)

b 580991.4

I'm after b 580991.3636

I'm hoping this is an easy one, any ideas? I'm also assuming it is my misunderstanding of floats causing this. I know python is dynamic when it comes to dtypes, but I need it to be in float32 for a specific library (python-pcl).

...

ANSWER

Answered 2018-Nov-25 at 16:50

Float32 can only offer between 6 and 9 digits of precision.

Float32 works by storing the sign in 1 bit, the exponent in 8 bits and the value in 23 bits (also called the fraction). So you can represent a wide range of real numbers at the cost of precision.

If you need it to be more precise it has to be a double or use the python's library decimal.

Source https://stackoverflow.com/questions/53469624

QUESTION

Downsampling point clouds to specific number of points while retaining shape

Asked 2018-Aug-23 at 00:24

Environment: Python-PCL, WIndows 10, Python 3.6

I need to downsample point clouds to a specific number of points. These point clouds vary in size and hence I am stuck. From going through documentation, I understand there are only VoxelGrid, ConditionalOutlierRemoval ,StatisticalOutlierRemoval and RadiusOutlierRemoval are the options available.

In VoxelGrid, the leaf size doesnt guarantee the number of points, Radius removal doesnt help in retaining the shape, and statistical outlier mostly helps in removing noise.

Is there any solution to this? It is possible to use numpy.random.choice()and hoping for a miracle?

EDIT: numpy.random.choice works but only if you don't care about the geometric shape of your point cloud, which I do. Anyway to use VoxelGrid dynamically?

...

ANSWER

Answered 2018-Aug-23 at 00:24

Unfortunately, the answer is no. The number of output points using PCL's VoxelGrid is always going to be a function of the number of occupied voxels. The only way to control the number of occupied voxels is by altering the leaf size, and there is no dynamic way of doing this.

Alternately, you may have luck using Farthest Point Sampling, as it would allow you to select N points and has nice blue noise properties, but to the best of my knowledge this is not available in PCL.

Source https://stackoverflow.com/questions/51964798

QUESTION

Conda Packages Need Conflicting Numpy Versions

Asked 2017-Aug-25 at 08:39

I'm working on a shared Python project using conda to manage dependencies.

I have two libraries that are causing me a problem, openCV and python-pcl.

openCV requires numpy 1.7.*. There is only one conda package that I can see:

...

ANSWER

Answered 2017-Aug-25 at 08:36

I think maybe you should install another version of opencv.

Try this:

conda search -c conda-forge opencv

https://anaconda.org/conda-forge/opencv

Source https://stackoverflow.com/questions/45877027

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

Vulnerabilities

No vulnerabilities reported

Install python-pcl

You can install using 'pip install python-pcl' or download it from GitHub, PyPI.
You can use python-pcl 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 .

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