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Precision raised and big item classification improved

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This commit is contained in:
tamasmeszaros 2018-08-07 10:57:22 +02:00
parent d1bd5a51b2
commit 224c0e74ea
2 changed files with 9 additions and 6 deletions
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2
xs/src/libnest2d/libnest2d/placers/nfpplacer.hpp
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@ -706,7 +706,7 @@ public:
opt::StopCriteria stopcr;
stopcr.max_iterations = 100;
stopcr.relative_score_difference = 1e-6;
stopcr.relative_score_difference = 1e-12;
opt::TOptimizer<opt::Method::L_SUBPLEX> solver(stopcr);
Optimum optimum(0, 0);

13
xs/src/libslic3r/ModelArrange.hpp
View file

@ -115,15 +115,18 @@ objfunc(const PointImpl& bincenter,
using pl = PointLike;
using sl = ShapeLike;
static const double BIG_ITEM_TRESHOLD = 0.04;
static const double BIG_ITEM_TRESHOLD = 0.02;
static const double ROUNDNESS_RATIO = 0.5;
static const double DENSITY_RATIO = 1.0 - ROUNDNESS_RATIO;
// We will treat big items (compared to the print bed) differently
auto isBig = [&areacache, bin_area](double a) {
bool t = areacache.empty() ? true : a > 0.5*areacache.front();
return a/bin_area > BIG_ITEM_TRESHOLD || t;
double farea = areacache.empty() ? 0 : areacache.front();
bool fbig = farea / bin_area > BIG_ITEM_TRESHOLD;
bool abig = a/bin_area > BIG_ITEM_TRESHOLD;
bool rbig = fbig && a > 0.5*farea;
return abig || rbig;
};
// If a new bin has been created:
@ -258,7 +261,7 @@ void fillConfig(PConf& pcfg) {
// The accuracy of optimization.
// Goes from 0.0 to 1.0 and scales performance as well
pcfg.accuracy = 0.6f;
pcfg.accuracy = 1.0f;
}
template<class TBin>
@ -355,7 +358,7 @@ public:
auto diff = d - 2*bin.radius();
if(diff > 0) {
if( item.area() > 0.01*bin_area_ && item.vertexCount() < 20) {
if( item.area() > 0.01*bin_area_ && item.vertexCount() < 30) {
pile.emplace_back(item.transformedShape());
auto chull = ShapeLike::convexHull(pile);
pile.pop_back();