strawlab/python-pcl

Python bindings to the pointcloud library (pcl)

Cython

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948 commits

updated Dec 30, 2023

strawlab.github.com/python-pcl

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README

**⚠⚠ This repository has been archived as is it is no longer maintained.
Please see https://github.com/strawlab/python-pcl/issues/395 for details. ⚠⚠**

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Introduction
============

This is a small python binding to the `pointcloud <http://pointclouds.org/>`_ library.
Currently, the following parts of the API are wrapped (all methods operate on PointXYZ)
point types

 * I/O and integration; saving and loading PCD files
 * segmentation
 * SAC
 * smoothing
 * filtering
 * registration (ICP, GICP, ICP_NL)

The code tries to follow the Point Cloud API, and also provides helper function
for interacting with NumPy. For example (from tests/test.py)

.. code-block:: python

    import pcl
    import numpy as np
    p = pcl.PointCloud(np.array([[1, 2, 3], [3, 4, 5]], dtype=np.float32))
    seg = p.make_segmenter()
    seg.set_model_type(pcl.SACMODEL_PLANE)
    seg.set_method_type(pcl.SAC_RANSAC)
    indices, model = seg.segment()

or, for smoothing

.. code-block:: python

    import pcl
    p = pcl.load("C/table_scene_lms400.pcd")
    fil = p.make_statistical_outlier_filter()
    fil.set_mean_k (50)
    fil.set_std_dev_mul_thresh (1.0)
    fil.filter().to_file("inliers.pcd")

Point clouds can be viewed as NumPy arrays, so modifying them is possible
using all the familiar NumPy functionality:

.. code-block:: python

    import numpy as np
    import pcl
    p = pcl.PointCloud(10)  # "empty" point cloud
    a = np.asarray(p)       # NumPy view on the cloud
    a[:] = 0                # fill with zeros
    print(p[3])             # prints (0.0, 0.0, 0.0)
    a[:, 0] = 1             # set x coordinates to 1
    print(p[3])             # prints (1.0, 0.0, 0.0)

More samples can be found in the `examples directory <https://github.com/strawlab/python-pcl/tree/master/examples>`_,
and in the `unit tests <https://github.com/strawlab/python-pcl/blob/master/tests/test.py>`_.

This work was supported by `Strawlab <http://strawlab.org/>`_.

Requirements
============

This release has been tested on Linux Ubuntu 16.04 with

 * Python 2.7.6, 3.5.x
 * pcl 1.7.2(apt install)
 * Cython <= 0.25.2

This release has been tested on Linux Ubuntu 18.04 with

 * Python 2.7.6, 3.5.x
 * pcl 1.8.1(apt install)
 * Cython <= 0.25.2

and MacOS with

 * Python 2.7.6, 3.5.x
 * pcl 1.9.1(use homebrew)
 * Cython <= 0.25.2

and Windows with

 * (Miniconda/Anaconda) - Python 3.4
 * pcl 1.6.0(VS2010)
 * Cython <= 0.25.2
 * Gtk+

and Windows with

 * (Miniconda/Anaconda) - Python 3.5
 * pcl 1.8.1(VS2015)
 * Cython <= 0.25.2
 * Gtk+

and Windows with

 * (Miniconda/Anaconda) - Python 3.6
 * pcl 1.8.1(VS2017[Priority High]/VS2015[not VS2017 Install])
 * Cython == 0.25.2
 * Gtk+


Installation
============

Linux(Ubuntu)
-------------

before Install module
^^^^^^^^^^^^^^^^^^^^^

    Ubuntu16.04/18.04 (use official package)

        1. Install PCL Module.

        .. code-block:: bash

            $ sudo apt-get update -y

            $ sudo apt-get install libpcl-dev -y

            Reference `here <https://packages.ubuntu.com/search?keywords=libpcl-dev>`_.


    PCL 1.8.x/1.9.x and Ubuntu16.04/18.04(build module)([CI Test Timeout])

        1. Build Module

            Reference `here <https://askubuntu.com/questions/916260/how-to-install-point-cloud-library-v1-8-pcl-1-8-0-on-ubuntu-16-04-2-lts-for>`_.


MacOSX
------

before Install module
^^^^^^^^^^^^^^^^^^^^^

        Case1. use homebrew(PCL 1.9.1 - 2018/12/25 current)

        1. Install PCL Module.

            .. code-block:: bash

            $ brew tap homebrew/science

            $ brew install pcl


        Case1. use old homebrew(PCL 1.8.1 - 2017/11/13 current)

        1. Check git log.

            .. code-block:: bash

            $ cd /usr/local/Library/Formula

            $ git log ...

        2. git checkout (target hash) pcl.rb

            .. code-block:: bash

            write after.

Warning:

   Current Installer (2017/10/02) Not generated pcl-2d-1.8.pc file.(Issue #119)

   Reference PointCloudLibrary Issue.

       `Pull request 1679 <https://github.com/PointCloudLibrary/pcl/pull/1679>`_.

       `Issue 1978 <https://github.com/PointCloudLibrary/pcl/issues/1978>`_.

circumvent:

    copy travis/pcl-2d-1.8.pc file to /usr/local/lib/pkgconfig folder.

Windows
-------

Using pip with a precompiled wheel
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

    This is the simpliest method on windows. The wheel contains the PCL binaries _ 
    and thus you do not need to install the original PCL library.

    1. Go in the history on the `appveyor page <https://ci.appveyor.com/project/Sirokujira/python-pcl-iju42/history>`_
    2. Click on the last successful revision (green) and click on the job corresponding to your python version 
    3. Go in the artfacts section for that job and download the wheel (the file with extension whl)
    4. In the command line, move to your download folder and run the following command (replacing XXX by the right string)  

.. code-block:: bat

            pip install python_pcl-XXX.whl

Compiling the binding from source
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

    If the method using the procompiled wheel does not work you can compile the binding from the source.

before Install module
~~~~~~~~~~~~~~~~~~~~~

        Case1. use PCL 1.6.0 

            `Windows SDK 7.1 <http://www.microsoft.com/download/en/details.aspx?id=8279>`_

            `PCL All-In-One Installer <http://pointclouds.org/downloads/windows.html>`_

                `32 bit <http://sourceforge.net/projects/pointclouds/files/1.6.0/PCL-1.6.0-AllInOne-msvc2010-win32.exe/download>`_

                `64 bit <http://sourceforge.net/projects/pointclouds/files/1.6.0/PCL-1.6.0-AllInOne-msvc2010-win64.exe/download>`_

            OpenNI2[(PCL Install FolderPath)\\3rdParty\\OpenNI\\OpenNI-(win32/x64)-1.3.2-Dev.msi]

        Case2. use 1.8.1/1.9.1

            `Visual Studio 2015 C++ Compiler Tools(use Python 2.7/3.5/3.6/3.7) <https://www.visualstudio.com/vs/older-downloads/>`_ 

            `Visual Studio 2017 C++ Compiler Tools(use Python 3.6.x/3.7.x) <http://landinghub.visualstudio.com/visual-cpp-build-tools>`_ 

            `PCL All-In-One Installer <https://github.com/PointCloudLibrary/pcl/releases/>`_

                1.8.1

                `Visual Studio 2015 - 32 bit <https://github.com/PointCloudLibrary/pcl/releases/download/pcl-1.8.1/PCL-1.8.1-AllInOne-msvc2015-win32.exe>`_

                `Visual Studio 2017 - 32 bit <https://github.com/PointCloudLibrary/pcl/releases/download/pcl-1.8.1/PCL-1.8.1-AllInOne-msvc2017-win32.exe>`_

                `Visual Studio 2015 - 64 bit <https://github.com/PointCloudLibrary/pcl/releases/download/pcl-1.8.1/PCL-1.8.1-AllInOne-msvc2015-win64.exe>`_

                `Visual Studio 2017 - 64 bit <https://github.com/PointCloudLibrary/pcl/releases/download/pcl-1.8.1/PCL-1.8.1-AllInOne-msvc2017-win64.exe>`_

                1.9.1

                `Visual Studio 2017 - 32 bit <https://github.com/PointCloudLibrary/pcl/releases/download/pcl-1.9.1/PCL-1.9.1-AllInOne-msvc2017-win32.exe>`_

                `Visual Studio 2017 - 64 bit <https://github.com/PointCloudLibrary/pcl/releases/download/pcl-1.9.1/PCL-1.9.1-AllInOne-msvc2017-win64.exe>`_

            OpenNI2[(PCL Install FolderPath)\\3rdParty\\OpenNI2\\OpenNI-Windows-(win32/x64)-2.2.msi]

        Common setting

            `Windows Gtk+ Download <http://www.tarnyko.net/dl/gtk.htm>`_                            Download file unzip. Copy bin Folder to pkg-config Folder
                Download file unzip. Copy bin Folder to pkg-config Folder

                or execute powershell file [Install-GTKPlus.ps1].

`Python Version use VisualStudio Compiler <https://wiki.python.org/moin/WindowsCompilers>`_

set before Environment variable
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

    1. PCL_ROOT

.. code-block:: bat

        set PCL_ROOT=(PCL Install/Build_Binary FolderPath)

    2. PATH

.. code-block:: bat

        (pcl 1.6.0)
        set PATH=%PCL_ROOT%/bin/;%OPEN_NI_ROOT%/Tools;%VTK_ROOT%/bin;%PATH%

        (pcl 1.8.1/1.9.1)
        set PATH=%PCL_ROOT%/bin/;%OPEN_NI2_ROOT%/Tools;%VTK_ROOT%/bin;%PATH%

Common setting
--------------

1. pip module install.

.. code-block:: none

    pip install --upgrade pip

    pip install cython

    pip install numpy

2. install python module

.. code-block:: none

    python setup.py build_ext -i

    python setup.py install
    
3. install python-pcl with conda (solved)

.. code-block:: none

    conda create -n ipk # create a new conda env. 
    conda activate ipk	# activate env.

    conda update -n base -c defaults conda # update conda

    conda config --add channels conda-forge # add conda-forge channels
    conda install -c sirokujira python-pcl # pcl installation
    conda install -c jithinpr2 gtk3 # Gtk+ Gui dependency
    conda install -y ipython #  install ipython
    conda install -y jupyter # install jupyter 

After that, run jupyter notebook or ipython shell to test pcl installation. 

Build & Test Status
===================

windows(1.6.0/1.8.1/1.9.1)

    .. image:: https://ci.appveyor.com/api/projects/status/w52fee7j22q211cm/branch/master?svg=true
        :target: https://ci.appveyor.com/project/Sirokujira/python-pcl-iju42

Mac OSX(1.9.1)/Ubuntu16.04(1.7.2)

    .. image:: https://travis-ci.org/strawlab/python-pcl.svg?branch=master
        :target: https://travis-ci.org/strawlab/python-pcl


A note about types
------------------

Point Cloud is a heavily templated API, and consequently mapping this into
Python using Cython is challenging. 

It is written in Cython, and implements enough hard bits of the API
(from Cythons perspective, i.e the template/smart_ptr bits)  to
provide a foundation for someone wishing to carry on.


API Documentation
=================

`Read the docs <https://python-pcl-fork.readthedocs.io/en/latest/>`_.

For deficiencies in this documentation, please consult the
`PCL API docs <http://docs.pointclouds.org/trunk/index.html>`_, and the
`PCL tutorials <http://pointclouds.org/documentation/tutorials/>`_.

Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.

Project health

Overall

0.6/10

Maintained

0/10

Code review

1/10

OpenSSF Scorecard

PyPI

python-pcl

Latest release

0.3.0.dev1 · May 9, 2019

Releases this year

Significant stargazers

Shengchao Liu

267 followers · starred Jan 2022

Göktuğ Karakaşlı

139 followers · starred Jun 2019

Hannu Hartikainen

53 followers · starred May 2012

Yoonje Choi

70 followers · starred Jul 2019

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