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Bug fixes for the neighborhood detection

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tamasmeszaros
2018-08-07 19:48:00 +02:00
parent 08fb677583
commit 20b7aad6d1
12 changed files with 190 additions and 206 deletions
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92
xs/src/libnest2d/examples/main.cpp
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@@ -95,98 +95,6 @@ void arrangeRectangles() {
pconf.rotations = {0.0/*, Pi/2.0, Pi, 3*Pi/2*/};
pconf.accuracy = 1.0f;
// auto bincenter = ShapeLike::boundingBox<PolygonImpl>(bin).center();
// pconf.object_function = [&bin, bincenter](
// Placer::Pile pile, const Item& item,
// double /*area*/, double norm, double penality) {
// using pl = PointLike;
// static const double BIG_ITEM_TRESHOLD = 0.2;
// static const double GRAVITY_RATIO = 0.5;
// static const double DENSITY_RATIO = 1.0 - GRAVITY_RATIO;
// // We will treat big items (compared to the print bed) differently
// NfpPlacer::Pile bigs;
// bigs.reserve(pile.size());
// for(auto& p : pile) {
// auto pbb = ShapeLike::boundingBox(p);
// auto na = std::sqrt(pbb.width()*pbb.height())/norm;
// if(na > BIG_ITEM_TRESHOLD) bigs.emplace_back(p);
// }
// // Candidate item bounding box
// auto ibb = item.boundingBox();
// // Calculate the full bounding box of the pile with the candidate item
// pile.emplace_back(item.transformedShape());
// auto fullbb = ShapeLike::boundingBox(pile);
// pile.pop_back();
// // The bounding box of the big items (they will accumulate in the center
// // of the pile
// auto bigbb = bigs.empty()? fullbb : ShapeLike::boundingBox(bigs);
// // The size indicator of the candidate item. This is not the area,
// // but almost...
// auto itemnormarea = std::sqrt(ibb.width()*ibb.height())/norm;
// // Will hold the resulting score
// double score = 0;
// if(itemnormarea > BIG_ITEM_TRESHOLD) {
// // This branch is for the bigger items..
// // Here we will use the closest point of the item bounding box to
// // the already arranged pile. So not the bb center nor the a choosen
// // corner but whichever is the closest to the center. This will
// // prevent unwanted strange arrangements.
// auto minc = ibb.minCorner(); // bottom left corner
// auto maxc = ibb.maxCorner(); // top right corner
// // top left and bottom right corners
// auto top_left = PointImpl{getX(minc), getY(maxc)};
// auto bottom_right = PointImpl{getX(maxc), getY(minc)};
// auto cc = fullbb.center(); // The gravity center
// // Now the distnce of the gravity center will be calculated to the
// // five anchor points and the smallest will be chosen.
// std::array<double, 5> dists;
// dists[0] = pl::distance(minc, cc);
// dists[1] = pl::distance(maxc, cc);
// dists[2] = pl::distance(ibb.center(), cc);
// dists[3] = pl::distance(top_left, cc);
// dists[4] = pl::distance(bottom_right, cc);
// auto dist = *(std::min_element(dists.begin(), dists.end())) / norm;
// // Density is the pack density: how big is the arranged pile
// auto density = std::sqrt(fullbb.width()*fullbb.height()) / norm;
// // The score is a weighted sum of the distance from pile center
// // and the pile size
// score = GRAVITY_RATIO * dist + DENSITY_RATIO * density;
// } else if(itemnormarea < BIG_ITEM_TRESHOLD && bigs.empty()) {
// // If there are no big items, only small, we should consider the
// // density here as well to not get silly results
// auto bindist = pl::distance(ibb.center(), bincenter) / norm;
// auto density = std::sqrt(fullbb.width()*fullbb.height()) / norm;
// score = GRAVITY_RATIO * bindist + DENSITY_RATIO * density;
// } else {
// // Here there are the small items that should be placed around the
// // already processed bigger items.
// // No need to play around with the anchor points, the center will be
// // just fine for small items
// score = pl::distance(ibb.center(), bigbb.center()) / norm;
// }
// if(!Placer::wouldFit(fullbb, bin)) score += norm;
// return score;
// };
Packer::SelectionConfig sconf;
// sconf.allow_parallel = false;
// sconf.force_parallel = false;