Name | opencamlib JSON |
Version |
2023.1.11
JSON |
| download |
home_page | https://github.com/aewallin/opencamlib |
Summary | open source computer aided manufacturing algorithms library |
upload_time | 2023-01-11 12:59:03 |
maintainer | |
docs_url | None |
author | |
requires_python | >=3.6 |
license | GNU LESSER GENERAL PUBLIC LICENSE Version 2.1, February 1999 Copyright (C) 1991, 1999 Free Software Foundation, Inc. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. [This is the first released version of the Lesser GPL. It also counts as the successor of the GNU Library Public License, version 2, hence the version number 2.1.] Preamble The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public Licenses are intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This license, the Lesser General Public License, applies to some specially designated software packages--typically libraries--of the Free Software Foundation and other authors who decide to use it. 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keywords |
cam
cnc
waterline
axial
tool
projection
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VCS |
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bugtrack_url |
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requirements |
No requirements were recorded.
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No Travis.
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coveralls test coverage |
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##########
OpenCAMLib
##########
.. image:: https://img.shields.io/badge/License-LGPL%20v2.1-blue.svg
:target: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
.. image:: https://github.com/aewallin/opencamlib/actions/workflows/test.yml/badge.svg
:target: https://github.com/aewallin/opencamlib/actions/workflows/test.yml
.. image:: https://readthedocs.org/projects/opencamlib/badge/?version=latest
:target: https://opencamlib.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
************
Introduction
************
OpenCAMLib (ocl) is a library for creating 3D toolpaths for CNC-machines such as mills and lathes.
It is written in C++ and has bindings for Python, Node.js and the browser.
At the moment it supports the following algorithms:
===========
Drop-cutter
===========
The drop cutter algorithm drops a cutter, positioned at a predefined (x,y) location, until it touches the 3D model.
.. image:: https://github.com/aewallin/opencamlib/blob/master/docs/drop-cutter.png?raw=true
:width: 200
:alt: Drop Cutter
===========
Push-cutter
===========
The Push-cutter is used to create a Waterline toolpath that follows the shape of the model at a constant z-height in the xy-plane.
.. image:: https://github.com/aewallin/opencamlib/blob/master/docs/push-cutter.png?raw=true
:width: 200
:alt: Push Cutter
=======
Cutters
=======
The algorithms listed above can be used with following cutters:
- **CylCutter** (flat end mill / cylindrical)
- **BallCutter** (ball end mill / spherical)
- **BullCutter** (radius end mill / toroidal)
- **ConeCutter** (tapered end mill / conical)
- **CompositeCutter** (combinations of the above / compound)
From August 2018 OpenCAMLib is released under LGPL license.
**********************
Pre-compiled Libraries
**********************
OpenCAMLib provides pre-compiled C++, Node.js and Python libraries for the following platforms and architectures:
+-------------+------------------+
| **Windows** | ia32 / x64 |
+-------------+------------------+
| **macOS** | x86_64 / arm64 |
+-------------+------------------+
| **Linux** | x86_64 / aarch64 |
+-------------+------------------+
- The Python library is called ``opencamlib`` and is hosted on PyPi (pypi.org), precompiled libraries are available for Python v3.7 up to v3.11.
- The Node.js + emscripten library is called ``@opencamlib/opencamlib`` and is hosted on npm (npmjs.org), precompiled libraries are available for Node-API v3 and up.
- The C++ library is called ``libocl`` and is hosted on our Github Releases page.
======
Python
======
The Python library (hosted on PyPi) can be installed like this:
.. code-block:: shell
pip install opencamlib
On some platforms, pip is called pip3, you might have to run:
.. code-block:: shell
pip3 install opencamlib
Note that pip / pip3 is will install packages for to the system installation of Python, if you want to install a package in a custom Python installation that is not in your $PATH
(for example, the Python which comes with Blender), you can install packages like so:
.. code-block:: shell
/path/to/your/custom/python -m pip install opencamlib
If you don't know where Python is, but you have access to it's interpreter (FreeCAD and Blender both have a Python console), you can simply enter this command in there to install OpenCAMLib:
.. code-block:: python
import sys; import subprocess; subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'opencamlib'])
==========
JavaScript
==========
The JavaScript library (hosted on npm) works in Node.js and the browser (by leveraging emscripten / WASM) can be installed like this:
.. code-block:: shell
npm install --save @opencamlib/opencamlib
Or, using yarn:
.. code-block:: shell
yarn add @opencamlib/opencamlib
Note that it is not 100% feature complete and lacking some functionality still.
===
C++
===
Pre-compiled C++ libraries are available on the Github Releases page (https://github.com/aewallin/opencamlib/releases).
This project also installs a OpenCAMLibConfig.cmake, which, if your project uses CMake, allows you to use ``find_package(OpenCAMLib REQUIRED)``.
You can see an example of that in use over here: ``examples/cpp/test/CMakeLists.txt``
********************
Building from Source
********************
Having trouble with a pre-compiled library? Please report it to us.
If there are no pre-compiled libraries for your platform or architecture, or want to customize or package opencamlib, this is for you.
OpenCAMLib uses functionality from a library called Boost.
For the Python library it uses an extra library called Boost.Python.
Only the Python bindings need Boost to be **compiled** (with Boost.Python).
All other libraries **DO NOT** need Boost to be compiled, in those cases, a headers only version will suffice.
So, if you are not compiling the Python libraries, simply download Boost, extract it into a folder, and tell CMake where to look for it.
Make sure to download Boost from the boost.org downloads page, if you download it from github, you have to make sure to install the git submodules **and** build the headers.
We provide a ``install.sh`` script that helps with installation of dependencies and building OpenCAMLib libraries, you might want to take a look at it first.
You can run ``./install.sh --help`` to look at the available options, or inspect it's source code to find out more.
============
Dependencies
============
To compile OpenCAMLib, you need:
- **C++ compiler** (It should at least support C++ 14)
- **Git** (This is used for cloning the repository, and the emscripten SDK)
- **CMake** (At least version 3.15)
- **Boost** (When compiling the Python library, you have to **compile** Boost.Python for your Python version after installation)
At this time of writing, here are the packages to install:
Ubuntu Dependencies
-------------------
.. code-block:: shell
sudo apt install -y git cmake curl build-essential libboost-dev
macOS Dependencies
------------------
.. code-block:: shell
brew install git cmake curl boost python@3.11 boost-python3
Windows Dependencies
--------------------
Install
- Visual Studio Build Tools (https://visualstudio.microsoft.com/visual-cpp-build-tools/)
- Git (https://git-scm.com/download/win)
- CMake (https://git-scm.com/download/win)
By downloading the installers from the internet, or by using your package manager.
================
Building for C++
================
The C++ library is the easiest to build, it only depends on Boost's headers.
Make sure you have a compiler, git, cmake and Boost installed (or simply download and extract it somewhere).
.. code-block:: shell
git clone https://github.com/aewallin/opencamlib
cd opencamlib
mkdir build
cd build
cmake .. -D CXX_LIB="ON"
make . # try make -j4 for a faster build if you have a multi-core machine
make install .
When boost is not in a standard location, you can add the ``-D BOOST_ROOT=/path/to/boost`` option to the cmake command.
=======================
Building for Emscripten
=======================
To compile the emscripten library, first download, install and activate it using the following commands:
.. code-block:: shell
git clone https://github.com/emscripten-core/emsdk.git
cd emsdk
./emsdk install latest
./emsdk activate latest
Now you can compile OpenCAMLib like this (make sure to replace the ``path/to/`` sections):
.. code-block:: shell
source path/to/emsdk/emsdk_env.sh
git clone https://github.com/aewallin/opencamlib
cd opencamlib
mkdir build
cd build
emcmake cmake \
-D CMAKE_BUILD_TYPE="Release" \
-D BUILD_EMSCRIPTEN_LIB="ON" \
-D USE_OPENMP="OFF" \
-D CMAKE_INSTALL_PREFIX="/path/to/opencamlib/src/npmpackage/build" \
-D BOOST_ROOT="/path/to/boost" \
..
emmake make # try emmake make -j4 for a faster build if you have a multi-core machine
Note that ``USE_OPENMP`` has been turned off, OpenMP is not supported with Emscripten at the moment
====================
Building for Node.js
====================
To compile the Node.js library, install the dependencies in ``src/nodejslib``:
.. code-block:: shell
cd src/nodejslib
npm install
Next, use cmake-js to compile the library:
.. code-block:: shell
git clone https://github.com/aewallin/opencamlib
cd opencamlib
mkdir build
cd build
../src/nodejslib/node_modules/.bin/cmake-js \
build \
--directory ".." \
--out "." \
--parallel 4 \
--CD BUILD_NODEJS_LIB="ON" \
--CD USE_OPENMP="ON" \
--CD CMAKE_INSTALL_PREFIX="/path/to/opencamlib/build/Release/$(node --print 'process.platform')-nodejs-$(node --print 'process.arch')" \
--CD BOOST_ROOT="/path/to/boost" \
--config "Release"
===================
Building for Python
===================
The Python library can be compiled similarly to the C++ example above, however, this time Boost.Python has to be compiled first.
Most systems have Boost.Python available as a download, but only for a specific Python version only (usually the latest Python version).
These might work if you are using Python from the same package provider, but, unfortunately, this is not a very reliable method, so compiling them yourself is usually the best option.
First, download and extract Boost:
.. code-block:: shell
curl "https://boostorg.jfrog.io/artifactory/main/release/1.80.0/source/boost_1_80_0.tar.gz" --output "boost_1_80_0.tar.gz" --location
tar -zxf boost_1_80_0.tar.gz -C /tmp/boost
cd /tmp/boost/boost_1_80_0
Now we can compile it:
.. code-block:: shell
echo "using python ;" > ./user-config.jam
./bootstrap.sh
./b2 \
-a \
threading="multi" \
-j4 \
variant="release" \
link="static" \
address-model="64" \
architecture="x86" \
--layout="system" \
--with-python \
--user-config="./user-config.jam" \
cxxflags="-fPIC" \
stage
Note that you can customize the user-config.jam file to point it to your Python installation
(see: https://www.boost.org/doc/libs/1_78_0/libs/python/doc/html/building/configuring_boost_build.html).
You should also specify the correct architecture and address-model.
On windows, make sure to use windows style paths, e.g. ``C:\\path\\to\\Python``
*****
Usage
*****
Please take a look at the ``examples/`` folder on how to use OpenCAMLib.
For each language there is an example named ``test`` which calls all of the algorithms.
There is also some API documentation over here: https://opencamlib.readthedocs.io
***************
Common Problems
***************
Compiling OpenCAMLib is unfortunately not very easy and there are many things that can go wrong.
Here is a list of common problems and solutions.
=================================================
Could NOT find Boost (missing: Boost_INCLUDE_DIR)
=================================================
This happens a lot, here are some of the reasons why this happens:
**You don't have Boost installed.**
If you forgot to install boost, go ahead and download Boost from from their website: https://www.boost.org/users/download/ and extract it somewhere.
Now, when compiling the C++ or node.js module, add the
``-D BOOST_ROOT=/path/to/extracted/boost`` flag to the ``cmake ..`` command, or the.
``--boost-prefix /path/to/extracted/boost`` flag to the ``./install.sh`` command
**You installed Boost from Github.**
The boost that is hosted on Github does not have the headers yet! To compile those, you should run the following commands:
.. code-block:: shell
./bootstrap.sh
./b2 headers
**Your CMake version has a FindBoost module which is unaware of your Boost's version.**
The CMake module that looks for Boost, is usually not aware of the existence of the latest Boost versions.
You can help it by providing the version number of your Boost with the ``-D Boost_ADDITIONAL_VERSIONS="1.80.0"`` flag.
Make sure to change 1.80.0 with your version of Boost.
It can also be helpfull to enable ``Boost_DEBUG`` in the CMake configuration.
***************
Cross Compiling
***************
To compile OpenCAMLib for other architectures, we recommend the following strategies.
Always make sure to compile Boost for the correct architecture as well!
=====
macOS
=====
Cross compiling on macOS is possible by setting the CMake ``CMAKE_OSX_ARCHITECTURES`` flag.
When using the ``install.sh`` script, you can use the ``--macos-architecture`` flag to accomplish the same thing.
Make sure to take a look at the other ``--*-architecture`` flags when cross compiling.
=======
Windows
=======
Cross compiling on Windows is possible by using the "Visual Studio" generator (default) and by setting the CMake ``CMAKE_GENERATOR_PLATFORM`` flag.
When using the ``install.sh`` script, you can use the ``--cmake-generator-platform`` flag to accomplish the same thing.
Make sure to take a look at the other ``--*-architecture`` flags when cross compiling.
=====
Linux
=====
To ensure that compiled libraries work on older linux versions, it has to be compiled with an older Glibc version.
The easiest way to accomplish this is by using Docker, there are images available especially for this purpose.
When using the ``install.sh`` script, you can use the ``--docker-image`` flag which will make the command run in a container with the given image name.
C++ docker image
----------------
When cross compiling the C++ library, make sure to use an old Glibc, this is included in the dockcross docker images.
For a list of supported architectures, take a look at:
https://github.com/dockcross/dockcross#summary-cross-compilers
Node.js docker image
--------------------
Cross compilers for node.js are available here:
https://github.com/prebuild/docker-images
Python docker image
-------------------
Cross compilers for python are here:
https://github.com/pypa/manylinux#manylinux2014-centos-7-based
*****
Links
*****
- repository https://github.com/aewallin/opencamlib
- PPAs
- https://launchpad.net/~iacobs/+archive/ubuntu/cnc/
- https://launchpad.net/~neomilium/+archive/ubuntu/cam
- https://launchpad.net/~freecad-community/+archive/ubuntu/ppa
- (updated 2012) https://launchpad.net/~anders-e-e-wallin/+archive/ubuntu/cam
- mailing-list http://groups.google.com/group/opencamlib
- IRC-channel #cam on irc.freenode.net
- coding standard (?) http://www.possibility.com/Cpp/CppCodingStandard.html
*********************
Organization of Files
*********************
(generate this with 'tree -dL 2')::
├── docs documentation (not much here yet!)
├── examples c++, emscripten, nodejs and python examples
├── scripts CI scripts for installing and building ocl
├── src
│  ├── algo algorithms under development
│  ├── common common algorithms and data-structures
│  ├── cutters cutter-classes
│  ├── cxxlib c++ library cmake config
│  ├── deb debian package cmake config
│  ├── dropcutter drop-cutter algorithms and operations
│  ├── emscriptenlib bindings for emscripten library
│  ├── geo primitive geometry classes (point, triangle, stlsurf, etc.)
│  ├── nodejslib Node.js library bindings and cmake config
│  ├── npmpackage combined Node.js and emscripten wrappers, for publishing to npm
│  ├── pythonlib python library bindings and cmake config
└── stl STL files for testing
Raw data
{
"_id": null,
"home_page": "https://github.com/aewallin/opencamlib",
"name": "opencamlib",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": "Koen Schmeets <koen@schmeets.de>",
"keywords": "cam cnc waterline axial tool projection",
"author": "",
"author_email": "Anders Wallin <anders.e.e.wallin@gmail.com>",
"download_url": "",
"platform": null,
"description": "##########\nOpenCAMLib\n##########\n\n.. image:: https://img.shields.io/badge/License-LGPL%20v2.1-blue.svg\n :target: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html\n\n.. image:: https://github.com/aewallin/opencamlib/actions/workflows/test.yml/badge.svg\n :target: https://github.com/aewallin/opencamlib/actions/workflows/test.yml\n\n.. image:: https://readthedocs.org/projects/opencamlib/badge/?version=latest\n :target: https://opencamlib.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\n************\nIntroduction\n************\n\nOpenCAMLib (ocl) is a library for creating 3D toolpaths for CNC-machines such as mills and lathes.\nIt is written in C++ and has bindings for Python, Node.js and the browser.\nAt the moment it supports the following algorithms:\n\n===========\nDrop-cutter\n===========\n\nThe drop cutter algorithm drops a cutter, positioned at a predefined (x,y) location, until it touches the 3D model.\n\n.. image:: https://github.com/aewallin/opencamlib/blob/master/docs/drop-cutter.png?raw=true\n :width: 200\n :alt: Drop Cutter\n\n===========\nPush-cutter\n===========\n\nThe Push-cutter is used to create a Waterline toolpath that follows the shape of the model at a constant z-height in the xy-plane.\n\n.. image:: https://github.com/aewallin/opencamlib/blob/master/docs/push-cutter.png?raw=true\n :width: 200\n :alt: Push Cutter\n\n=======\nCutters\n=======\n\nThe algorithms listed above can be used with following cutters:\n\n- **CylCutter** (flat end mill / cylindrical)\n- **BallCutter** (ball end mill / spherical)\n- **BullCutter** (radius end mill / toroidal)\n- **ConeCutter** (tapered end mill / conical)\n- **CompositeCutter** (combinations of the above / compound)\n\nFrom August 2018 OpenCAMLib is released under LGPL license.\n\n**********************\nPre-compiled Libraries\n**********************\n\nOpenCAMLib provides pre-compiled C++, Node.js and Python libraries for the following platforms and architectures:\n\n+-------------+------------------+\n| **Windows** | ia32 / x64 |\n+-------------+------------------+\n| **macOS** | x86_64 / arm64 |\n+-------------+------------------+\n| **Linux** | x86_64 / aarch64 |\n+-------------+------------------+\n\n- The Python library is called ``opencamlib`` and is hosted on PyPi (pypi.org), precompiled libraries are available for Python v3.7 up to v3.11.\n- The Node.js + emscripten library is called ``@opencamlib/opencamlib`` and is hosted on npm (npmjs.org), precompiled libraries are available for Node-API v3 and up.\n- The C++ library is called ``libocl`` and is hosted on our Github Releases page.\n\n======\nPython\n======\n\nThe Python library (hosted on PyPi) can be installed like this:\n\n.. code-block:: shell\n\n pip install opencamlib\n\nOn some platforms, pip is called pip3, you might have to run:\n\n.. code-block:: shell\n\n pip3 install opencamlib\n\nNote that pip / pip3 is will install packages for to the system installation of Python, if you want to install a package in a custom Python installation that is not in your $PATH\n(for example, the Python which comes with Blender), you can install packages like so:\n\n.. code-block:: shell\n\n /path/to/your/custom/python -m pip install opencamlib\n\nIf you don't know where Python is, but you have access to it's interpreter (FreeCAD and Blender both have a Python console), you can simply enter this command in there to install OpenCAMLib:\n\n.. code-block:: python\n\n import sys; import subprocess; subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'opencamlib'])\n\n\n==========\nJavaScript\n==========\n\nThe JavaScript library (hosted on npm) works in Node.js and the browser (by leveraging emscripten / WASM) can be installed like this:\n\n.. code-block:: shell\n\n npm install --save @opencamlib/opencamlib\n\nOr, using yarn:\n\n.. code-block:: shell\n\n yarn add @opencamlib/opencamlib\n\nNote that it is not 100% feature complete and lacking some functionality still.\n\n===\nC++\n===\n\nPre-compiled C++ libraries are available on the Github Releases page (https://github.com/aewallin/opencamlib/releases).\nThis project also installs a OpenCAMLibConfig.cmake, which, if your project uses CMake, allows you to use ``find_package(OpenCAMLib REQUIRED)``.\n\nYou can see an example of that in use over here: ``examples/cpp/test/CMakeLists.txt``\n\n********************\nBuilding from Source\n********************\n\nHaving trouble with a pre-compiled library? Please report it to us.\nIf there are no pre-compiled libraries for your platform or architecture, or want to customize or package opencamlib, this is for you.\n\nOpenCAMLib uses functionality from a library called Boost.\nFor the Python library it uses an extra library called Boost.Python.\n\nOnly the Python bindings need Boost to be **compiled** (with Boost.Python).\nAll other libraries **DO NOT** need Boost to be compiled, in those cases, a headers only version will suffice.\nSo, if you are not compiling the Python libraries, simply download Boost, extract it into a folder, and tell CMake where to look for it.\n\nMake sure to download Boost from the boost.org downloads page, if you download it from github, you have to make sure to install the git submodules **and** build the headers.\n\nWe provide a ``install.sh`` script that helps with installation of dependencies and building OpenCAMLib libraries, you might want to take a look at it first.\nYou can run ``./install.sh --help`` to look at the available options, or inspect it's source code to find out more.\n\n============\nDependencies\n============\n\nTo compile OpenCAMLib, you need:\n\n- **C++ compiler** (It should at least support C++ 14)\n- **Git** (This is used for cloning the repository, and the emscripten SDK)\n- **CMake** (At least version 3.15)\n- **Boost** (When compiling the Python library, you have to **compile** Boost.Python for your Python version after installation)\n\nAt this time of writing, here are the packages to install:\n\nUbuntu Dependencies\n-------------------\n\n.. code-block:: shell\n\n sudo apt install -y git cmake curl build-essential libboost-dev\n\nmacOS Dependencies\n------------------\n\n.. code-block:: shell\n\n brew install git cmake curl boost python@3.11 boost-python3\n\nWindows Dependencies\n--------------------\n\nInstall\n\n- Visual Studio Build Tools (https://visualstudio.microsoft.com/visual-cpp-build-tools/)\n- Git (https://git-scm.com/download/win)\n- CMake (https://git-scm.com/download/win)\n\nBy downloading the installers from the internet, or by using your package manager.\n\n================\nBuilding for C++\n================\n\nThe C++ library is the easiest to build, it only depends on Boost's headers.\nMake sure you have a compiler, git, cmake and Boost installed (or simply download and extract it somewhere).\n\n.. code-block:: shell\n\n git clone https://github.com/aewallin/opencamlib\n cd opencamlib\n mkdir build\n cd build\n cmake .. -D CXX_LIB=\"ON\"\n make . # try make -j4 for a faster build if you have a multi-core machine\n make install .\n\nWhen boost is not in a standard location, you can add the ``-D BOOST_ROOT=/path/to/boost`` option to the cmake command.\n\n=======================\nBuilding for Emscripten\n=======================\n\nTo compile the emscripten library, first download, install and activate it using the following commands:\n\n.. code-block:: shell\n\n git clone https://github.com/emscripten-core/emsdk.git\n cd emsdk\n ./emsdk install latest\n ./emsdk activate latest\n\nNow you can compile OpenCAMLib like this (make sure to replace the ``path/to/`` sections):\n\n.. code-block:: shell\n\n source path/to/emsdk/emsdk_env.sh\n git clone https://github.com/aewallin/opencamlib\n cd opencamlib\n mkdir build\n cd build\n emcmake cmake \\\n -D CMAKE_BUILD_TYPE=\"Release\" \\\n -D BUILD_EMSCRIPTEN_LIB=\"ON\" \\\n -D USE_OPENMP=\"OFF\" \\\n -D CMAKE_INSTALL_PREFIX=\"/path/to/opencamlib/src/npmpackage/build\" \\\n -D BOOST_ROOT=\"/path/to/boost\" \\\n ..\n emmake make # try emmake make -j4 for a faster build if you have a multi-core machine\n\nNote that ``USE_OPENMP`` has been turned off, OpenMP is not supported with Emscripten at the moment\n\n====================\nBuilding for Node.js\n====================\n\nTo compile the Node.js library, install the dependencies in ``src/nodejslib``:\n\n.. code-block:: shell\n\n cd src/nodejslib\n npm install\n\nNext, use cmake-js to compile the library:\n\n.. code-block:: shell\n\n git clone https://github.com/aewallin/opencamlib\n cd opencamlib\n mkdir build\n cd build\n ../src/nodejslib/node_modules/.bin/cmake-js \\\n build \\\n --directory \"..\" \\\n --out \".\" \\\n --parallel 4 \\\n --CD BUILD_NODEJS_LIB=\"ON\" \\\n --CD USE_OPENMP=\"ON\" \\\n --CD CMAKE_INSTALL_PREFIX=\"/path/to/opencamlib/build/Release/$(node --print 'process.platform')-nodejs-$(node --print 'process.arch')\" \\\n --CD BOOST_ROOT=\"/path/to/boost\" \\\n --config \"Release\"\n\n===================\nBuilding for Python\n===================\n\nThe Python library can be compiled similarly to the C++ example above, however, this time Boost.Python has to be compiled first.\nMost systems have Boost.Python available as a download, but only for a specific Python version only (usually the latest Python version).\nThese might work if you are using Python from the same package provider, but, unfortunately, this is not a very reliable method, so compiling them yourself is usually the best option.\n\nFirst, download and extract Boost:\n\n.. code-block:: shell\n\n curl \"https://boostorg.jfrog.io/artifactory/main/release/1.80.0/source/boost_1_80_0.tar.gz\" --output \"boost_1_80_0.tar.gz\" --location\n tar -zxf boost_1_80_0.tar.gz -C /tmp/boost\n cd /tmp/boost/boost_1_80_0\n\nNow we can compile it:\n\n.. code-block:: shell\n\n echo \"using python ;\" > ./user-config.jam\n ./bootstrap.sh\n ./b2 \\\n -a \\\n threading=\"multi\" \\\n -j4 \\\n variant=\"release\" \\\n link=\"static\" \\\n address-model=\"64\" \\\n architecture=\"x86\" \\\n --layout=\"system\" \\\n --with-python \\\n --user-config=\"./user-config.jam\" \\\n cxxflags=\"-fPIC\" \\\n stage\n\nNote that you can customize the user-config.jam file to point it to your Python installation\n(see: https://www.boost.org/doc/libs/1_78_0/libs/python/doc/html/building/configuring_boost_build.html).\nYou should also specify the correct architecture and address-model.\nOn windows, make sure to use windows style paths, e.g. ``C:\\\\path\\\\to\\\\Python``\n\n*****\nUsage\n*****\n\nPlease take a look at the ``examples/`` folder on how to use OpenCAMLib.\nFor each language there is an example named ``test`` which calls all of the algorithms.\n\nThere is also some API documentation over here: https://opencamlib.readthedocs.io\n\n***************\nCommon Problems\n***************\n\nCompiling OpenCAMLib is unfortunately not very easy and there are many things that can go wrong.\nHere is a list of common problems and solutions.\n\n=================================================\nCould NOT find Boost (missing: Boost_INCLUDE_DIR)\n=================================================\n\nThis happens a lot, here are some of the reasons why this happens:\n\n**You don't have Boost installed.**\n\nIf you forgot to install boost, go ahead and download Boost from from their website: https://www.boost.org/users/download/ and extract it somewhere.\nNow, when compiling the C++ or node.js module, add the\n\n``-D BOOST_ROOT=/path/to/extracted/boost`` flag to the ``cmake ..`` command, or the.\n\n``--boost-prefix /path/to/extracted/boost`` flag to the ``./install.sh`` command\n\n**You installed Boost from Github.**\n\nThe boost that is hosted on Github does not have the headers yet! To compile those, you should run the following commands:\n\n.. code-block:: shell\n\n ./bootstrap.sh\n ./b2 headers\n\n**Your CMake version has a FindBoost module which is unaware of your Boost's version.**\n\nThe CMake module that looks for Boost, is usually not aware of the existence of the latest Boost versions.\nYou can help it by providing the version number of your Boost with the ``-D Boost_ADDITIONAL_VERSIONS=\"1.80.0\"`` flag.\nMake sure to change 1.80.0 with your version of Boost.\n\nIt can also be helpfull to enable ``Boost_DEBUG`` in the CMake configuration.\n\n***************\nCross Compiling\n***************\n\nTo compile OpenCAMLib for other architectures, we recommend the following strategies.\nAlways make sure to compile Boost for the correct architecture as well!\n\n=====\nmacOS\n=====\n\nCross compiling on macOS is possible by setting the CMake ``CMAKE_OSX_ARCHITECTURES`` flag.\nWhen using the ``install.sh`` script, you can use the ``--macos-architecture`` flag to accomplish the same thing.\nMake sure to take a look at the other ``--*-architecture`` flags when cross compiling.\n\n=======\nWindows\n=======\n\nCross compiling on Windows is possible by using the \"Visual Studio\" generator (default) and by setting the CMake ``CMAKE_GENERATOR_PLATFORM`` flag.\nWhen using the ``install.sh`` script, you can use the ``--cmake-generator-platform`` flag to accomplish the same thing.\nMake sure to take a look at the other ``--*-architecture`` flags when cross compiling.\n\n=====\nLinux\n=====\n\nTo ensure that compiled libraries work on older linux versions, it has to be compiled with an older Glibc version.\nThe easiest way to accomplish this is by using Docker, there are images available especially for this purpose.\nWhen using the ``install.sh`` script, you can use the ``--docker-image`` flag which will make the command run in a container with the given image name.\n\nC++ docker image\n----------------\n\nWhen cross compiling the C++ library, make sure to use an old Glibc, this is included in the dockcross docker images.\nFor a list of supported architectures, take a look at:\n\nhttps://github.com/dockcross/dockcross#summary-cross-compilers\n\nNode.js docker image\n--------------------\n\nCross compilers for node.js are available here:\n\nhttps://github.com/prebuild/docker-images\n\nPython docker image\n-------------------\n\nCross compilers for python are here:\n\nhttps://github.com/pypa/manylinux#manylinux2014-centos-7-based\n\n*****\nLinks\n*****\n\n- repository https://github.com/aewallin/opencamlib\n- PPAs\n - https://launchpad.net/~iacobs/+archive/ubuntu/cnc/\n - https://launchpad.net/~neomilium/+archive/ubuntu/cam\n - https://launchpad.net/~freecad-community/+archive/ubuntu/ppa\n - (updated 2012) https://launchpad.net/~anders-e-e-wallin/+archive/ubuntu/cam\n- mailing-list http://groups.google.com/group/opencamlib\n- IRC-channel #cam on irc.freenode.net\n- coding standard (?) http://www.possibility.com/Cpp/CppCodingStandard.html\n\n*********************\nOrganization of Files\n*********************\n\n(generate this with 'tree -dL 2')::\n\n \u251c\u2500\u2500 docs documentation (not much here yet!)\n \u251c\u2500\u2500 examples c++, emscripten, nodejs and python examples\n \u251c\u2500\u2500 scripts CI scripts for installing and building ocl\n \u251c\u2500\u2500 src\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 algo algorithms under development\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 common common algorithms and data-structures\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 cutters cutter-classes\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 cxxlib c++ library cmake config\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 deb debian package cmake config\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 dropcutter drop-cutter algorithms and operations\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 emscriptenlib bindings for emscripten library\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 geo primitive geometry classes (point, triangle, stlsurf, etc.)\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 nodejslib Node.js library bindings and cmake config\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 npmpackage combined Node.js and emscripten wrappers, for publishing to npm\n \u2502\u00a0\u00a0 \u251c\u2500\u2500 pythonlib python library bindings and cmake config\n \u2514\u2500\u2500 stl STL files for testing\n",
"bugtrack_url": null,
"license": "GNU LESSER GENERAL PUBLIC LICENSE Version 2.1, February 1999 Copyright (C) 1991, 1999 Free Software Foundation, Inc. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. [This is the first released version of the Lesser GPL. It also counts as the successor of the GNU Library Public License, version 2, hence the version number 2.1.] Preamble The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public Licenses are intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This license, the Lesser General Public License, applies to some specially designated software packages--typically libraries--of the Free Software Foundation and other authors who decide to use it. You can use it too, but we suggest you first think carefully about whether this license or the ordinary General Public License is the better strategy to use in any particular case, based on the explanations below. When we speak of free software, we are referring to freedom of use, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish); that you receive source code or can get it if you want it; that you can change the software and use pieces of it in new free programs; and that you are informed that you can do these things. To protect your rights, we need to make restrictions that forbid distributors to deny you these rights or to ask you to surrender these rights. These restrictions translate to certain responsibilities for you if you distribute copies of the library or if you modify it. For example, if you distribute copies of the library, whether gratis or for a fee, you must give the recipients all the rights that we gave you. You must make sure that they, too, receive or can get the source code. If you link other code with the library, you must provide complete object files to the recipients, so that they can relink them with the library after making changes to the library and recompiling it. And you must show them these terms so they know their rights. We protect your rights with a two-step method: (1) we copyright the library, and (2) we offer you this license, which gives you legal permission to copy, distribute and/or modify the library. To protect each distributor, we want to make it very clear that there is no warranty for the free library. Also, if the library is modified by someone else and passed on, the recipients should know that what they have is not the original version, so that the original author's reputation will not be affected by problems that might be introduced by others. Finally, software patents pose a constant threat to the existence of any free program. We wish to make sure that a company cannot effectively restrict the users of a free program by obtaining a restrictive license from a patent holder. Therefore, we insist that any patent license obtained for a version of the library must be consistent with the full freedom of use specified in this license. Most GNU software, including some libraries, is covered by the ordinary GNU General Public License. This license, the GNU Lesser General Public License, applies to certain designated libraries, and is quite different from the ordinary General Public License. We use this license for certain libraries in order to permit linking those libraries into non-free programs. When a program is linked with a library, whether statically or using a shared library, the combination of the two is legally speaking a combined work, a derivative of the original library. The ordinary General Public License therefore permits such linking only if the entire combination fits its criteria of freedom. The Lesser General Public License permits more lax criteria for linking other code with the library. We call this license the \"Lesser\" General Public License because it does Less to protect the user's freedom than the ordinary General Public License. It also provides other free software developers Less of an advantage over competing non-free programs. These disadvantages are the reason we use the ordinary General Public License for many libraries. However, the Lesser license provides advantages in certain special circumstances. 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