libnest2d
Notice:
This library was developed as part of the PrusaSlicer project. You can find the original version here. This repository is a continuation of the original project (effectively a fork) that contains backported stable changes and is open to further development.
License
libnest2d is released under terms of the LGPLv3 License. Terms of the license can be found in the LICENSE file. Or at
http://www.gnu.org/licenses/lgpl.html
But in general it boils down to:
You need to share the source of any libnest2d modifications if you make an application with libnest2d.
How to build
Note:
We are currently in the process of switch our builds and pipelines to an approach which uses Conan and pip to manage our dependencies, which are stored on our JFrog Artifactory server and in the pypi.org. At the moment not everything is fully ported yet, so bare with us.
If you want to develop Cura with libnest2d see the Cura Wiki: Running Cura from source
If you have never used Conan read their documentation which is quite extensive and well maintained. Conan is a Python program and can be installed using pip
pip install conan --upgrade
conan config install https://github.com/ultimaker/conan-config.git
conan profile new default --detectCommunity developers would have to remove the Conan cura repository because that one requires credentials.
conan remote remove curaBuilding libnest2d
The steps above should be enough to get your system in such a state you can start development on libnest2d. Use the following steps to install the dependencies for libnest2d. Executed in the root directory of libnest2d.
Release build type
conan install . --build=missing --update
cd cmake-build-release
cmake --toolchain=conan/conan_toolchain.cmake ..
cmake --build .Debug build type
Use the same instructions as above, but pass the -s build_type=Debug flag to the conan install command.
conan install . --build=missing --update -s build_type=Debug
cd cmake-build-debug
cmake --toolchain=conan/conan_toolchain.cmake -DCMAKE_BUILD_TYPE=Debug ..
cmake --build .Creating a new libnest2d Conan package
To create a new libnest2d Conan package such that it can be used in Cura, run the following command:
conan create . libnest2d/<version>@<username>/<channel> --build=missing --updateThis package will be stored in the local Conan cache (~/.conan/data or C:\Users\username\.conan\data ) and can be used in downstream
projects, such as Cura, by adding it as a requirement in the conanfile.py or in conandata.yml if that project is set up
in such a way. You can also specify the override at the commandline, to use the newly created package, when you execute the conan install
command in the root of the consuming project, with:
conan install . -build=missing --update --require-override=arcus/<version>@<username>/<channel>Example
A simple example may be the best way to demonstrate the usage of the library.
#include <iostream>
#include <string>
// Here we include the libnest2d library
#include <libnest2d/libnest2d.hpp>
int main(int argc, const char* argv[]) {
using namespace libnest2d;
// Example polygons
std::vector<Item> input1(23,
{
{-5000000, 8954050},
{5000000, 8954050},
{5000000, -45949},
{4972609, -568550},
{3500000, -8954050},
{-3500000, -8954050},
{-4972609, -568550},
{-5000000, -45949},
{-5000000, 8954050},
});
std::vector<Item> input2(15,
{
{-11750000, 13057900},
{-9807860, 15000000},
{4392139, 24000000},
{11750000, 24000000},
{11750000, -24000000},
{4392139, -24000000},
{-9807860, -15000000},
{-11750000, -13057900},
{-11750000, 13057900},
});
std::vector<Item> input;
input.insert(input.end(), input1.begin(), input1.end());
input.insert(input.end(), input2.begin(), input2.end());
// Perform the nesting with a box shaped bin
size_t bins = nest(input, Box(150000000, 150000000));
// Retrieve resulting geometries
for(Item& r : input) {
auto polygon = r.transformedShape();
// render polygon...
}
return EXIT_SUCCESS;
}It is worth to note that the type of the polygon carried by the Item objects is the type defined as a polygon by the geometry backend. In the example we use the clipper backend and clipper works with integer coordinates.
Ofcourse it is possible to configure the nesting in every possible way. The nest function can take placer and selection algorithms as
template arguments and their configuration as runtime arguments. It is also possible to pass a progress indication functor and a stop
condition predicate to control the nesting process. For more details see the libnest2d.h header file.
Example output
Screenshot from Slic3r PE
For the record, Slic3r PE version 2.0 is now known as PrusaSlicer 2.0.
References
- SVGNest
- An effective heuristic for the two-dimensional irregular bin packing problem
- Complete and robust no-fit polygon generation for the irregular stock cutting problem
- Applying Meta-Heuristic Algorithms to the Nesting Problem Utilising the No Fit Polygon
- A comprehensive and robust procedure for obtaining the nofit polygon using Minkowski sums

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