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initial NFP method with convex polygons working.

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This commit is contained in:
tamasmeszaros 2018-06-05 12:02:45 +02:00
parent fd829580e9
commit 34c850fa9d
23 changed files with 3865 additions and 774 deletions
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45
xs/src/libslic3r/Model.cpp
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@ -20,6 +20,8 @@
#include <boost/nowide/iostream.hpp>
#include <boost/algorithm/string/replace.hpp>
#include <benchmark.h>
namespace Slic3r {
unsigned int Model::s_auto_extruder_id = 1;
@ -378,8 +380,32 @@ bool arrange(Model &model, coordf_t dist, const Slic3r::BoundingBoxf* bb,
// Create the arranger config
auto min_obj_distance = static_cast<Coord>(dist/SCALING_FACTOR);
Benchmark bench;
std::cout << "Creating model siluett..." << std::endl;
bench.start();
// Get the 2D projected shapes with their 3D model instance pointers
auto shapemap = arr::projectModelFromTop(model);
bench.stop();
std::cout << "Model siluett created in " << bench.getElapsedSec()
<< " seconds. " << "Min object distance = " << min_obj_distance << std::endl;
// std::cout << "{" << std::endl;
// std::for_each(shapemap.begin(), shapemap.end(),
// [] (ShapeData2D::value_type& it)
// {
// std::cout << "\t{" << std::endl;
// Item& item = it.second;
// for(auto& v : item) {
// std::cout << "\t\t" << "{" << getX(v)
// << ", " << getY(v) << "},\n";
// }
// std::cout << "\t}," << std::endl;
// });
// std::cout << "}" << std::endl;
// return true;
double area = 0;
double area_max = 0;
@ -427,15 +453,23 @@ bool arrange(Model &model, coordf_t dist, const Slic3r::BoundingBoxf* bb,
// Will use the DJD selection heuristic with the BottomLeft placement
// strategy
using Arranger = Arranger<BottomLeftPlacer, DJDHeuristic>;
using Arranger = Arranger<NfpPlacer, DJDHeuristic>;
Arranger arranger(bin, min_obj_distance);
Arranger::PlacementConfig pcfg;
pcfg.alignment = Arranger::PlacementConfig::Alignment::BOTTOM_LEFT;
Arranger arranger(bin, min_obj_distance, pcfg);
std::cout << "Arranging model..." << std::endl;
bench.start();
// Arrange and return the items with their respective indices within the
// input sequence.
ArrangeResult result =
arranger.arrangeIndexed(shapes.begin(), shapes.end());
bench.stop();
std::cout << "Model arranged in " << bench.getElapsedSec()
<< " seconds." << std::endl;
auto applyResult = [&shapemap](ArrangeResult::value_type& group,
Coord batch_offset)
@ -464,6 +498,8 @@ bool arrange(Model &model, coordf_t dist, const Slic3r::BoundingBoxf* bb,
}
};
std::cout << "Applying result..." << std::endl;
bench.start();
if(first_bin_only) {
applyResult(result.front(), 0);
} else {
@ -477,6 +513,9 @@ bool arrange(Model &model, coordf_t dist, const Slic3r::BoundingBoxf* bb,
batch_offset += static_cast<Coord>(2*bin.width()*SCALING_FACTOR);
}
}
bench.stop();
std::cout << "Result applied in " << bench.getElapsedSec()
<< " seconds." << std::endl;
for(auto objptr : model.objects) objptr->invalidate_bounding_box();
@ -490,7 +529,7 @@ bool Model::arrange_objects(coordf_t dist, const BoundingBoxf* bb)
{
bool ret = false;
if(bb != nullptr && bb->defined) {
const bool FIRST_BIN_ONLY = true;
const bool FIRST_BIN_ONLY = false;
ret = arr::arrange(*this, dist, bb, FIRST_BIN_ONLY);
} else {
// get the (transformed) size of each instance so that we take