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OrcaSlicer-bambulab/xs/src/libnest2d/libnest2d/geometry_traits_nfp.hpp
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2018-07-27 12:28:14 +02:00

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#ifndef GEOMETRIES_NOFITPOLYGON_HPP
#define GEOMETRIES_NOFITPOLYGON_HPP
#include "geometry_traits.hpp"
#include <algorithm>
#include <functional>
#include <vector>
#include <iterator>
namespace libnest2d {
/// The complexity level of a polygon that an NFP implementation can handle.
enum class NfpLevel: unsigned {
CONVEX_ONLY,
ONE_CONVEX,
BOTH_CONCAVE,
ONE_CONVEX_WITH_HOLES,
BOTH_CONCAVE_WITH_HOLES
};
/// A collection of static methods for handling the no fit polygon creation.
struct Nfp {
// Shorthand for a pile of polygons
template<class RawShape>
using Shapes = typename ShapeLike::Shapes<RawShape>;
/**
* Merge a bunch of polygons with the specified additional polygon.
*
* \tparam RawShape the Polygon data type.
* \param shc The pile of polygons that will be unified with sh.
* \param sh A single polygon to unify with shc.
*
* \return A set of polygons that is the union of the input polygons. Note that
* mostly it will be a set containing only one big polygon but if the input
* polygons are disjuct than the resulting set will contain more polygons.
*/
template<class RawShape>
static Shapes<RawShape> merge(const Shapes<RawShape>& /*shc*/)
{
static_assert(always_false<RawShape>::value,
"Nfp::merge(shapes, shape) unimplemented!");
}
/**
* Merge a bunch of polygons with the specified additional polygon.
*
* \tparam RawShape the Polygon data type.
* \param shc The pile of polygons that will be unified with sh.
* \param sh A single polygon to unify with shc.
*
* \return A set of polygons that is the union of the input polygons. Note that
* mostly it will be a set containing only one big polygon but if the input
* polygons are disjuct than the resulting set will contain more polygons.
*/
template<class RawShape>
static Shapes<RawShape> merge(const Shapes<RawShape>& shc,
const RawShape& sh)
{
auto m = merge(shc);
m.push_back(sh);
return merge(m);
}
/**
* A method to get a vertex from a polygon that always maintains a relative
* position to the coordinate system: It is always the rightmost top vertex.
*
* This way it does not matter in what order the vertices are stored, the
* reference will be always the same for the same polygon.
*/
template<class RawShape>
inline static TPoint<RawShape> referenceVertex(const RawShape& sh)
{
return rightmostUpVertex(sh);
}
/**
* Get the vertex of the polygon that is at the lowest values (bottom) in the Y
* axis and if there are more than one vertices on the same Y coordinate than
* the result will be the leftmost (with the highest X coordinate).
*/
template<class RawShape>
static TPoint<RawShape> leftmostDownVertex(const RawShape& sh)
{
// find min x and min y vertex
auto it = std::min_element(ShapeLike::cbegin(sh), ShapeLike::cend(sh),
_vsort<RawShape>);
return *it;
}
/**
* Get the vertex of the polygon that is at the highest values (top) in the Y
* axis and if there are more than one vertices on the same Y coordinate than
* the result will be the rightmost (with the lowest X coordinate).
*/
template<class RawShape>
static TPoint<RawShape> rightmostUpVertex(const RawShape& sh)
{
// find max x and max y vertex
auto it = std::max_element(ShapeLike::cbegin(sh), ShapeLike::cend(sh),
_vsort<RawShape>);
return *it;
}
template<class RawShape>
using NfpResult = std::pair<RawShape, TPoint<RawShape>>;
/// Helper function to get the NFP
template<NfpLevel nfptype, class RawShape>
static NfpResult<RawShape> noFitPolygon(const RawShape& sh,
const RawShape& other)
{
NfpImpl<RawShape, nfptype> nfp;
return nfp(sh, other);
}
/**
* The "trivial" Cuninghame-Green implementation of NFP for convex polygons.
*
* You can use this even if you provide implementations for the more complex
* cases (Through specializing the the NfpImpl struct). Currently, no other
* cases are covered in the library.
*
* Complexity should be no more than linear in the number of edges of the input
* polygons.
*
* \tparam RawShape the Polygon data type.
* \param sh The stationary polygon
* \param cother The orbiting polygon
* \return Returns a pair of the NFP and its reference vertex of the two input
* polygons which have to be strictly convex. The resulting NFP is proven to be
* convex as well in this case.
*
*/
template<class RawShape>
static NfpResult<RawShape> nfpConvexOnly(const RawShape& sh,
const RawShape& other)
{
using Vertex = TPoint<RawShape>; using Edge = _Segment<Vertex>;
using sl = ShapeLike;
RawShape rsh; // Final nfp placeholder
Vertex top_nfp;
std::vector<Edge> edgelist;
auto cap = sl::contourVertexCount(sh) + sl::contourVertexCount(other);
// Reserve the needed memory
edgelist.reserve(cap);
sl::reserve(rsh, static_cast<unsigned long>(cap));
{ // place all edges from sh into edgelist
auto first = sl::cbegin(sh);
auto next = std::next(first);
while(next != sl::cend(sh)) {
edgelist.emplace_back(*(first), *(next));
++first; ++next;
}
}
{ // place all edges from other into edgelist
auto first = sl::cbegin(other);
auto next = std::next(first);
while(next != sl::cend(other)) {
edgelist.emplace_back(*(next), *(first));
++first; ++next;
}
}
// Sort the edges by angle to X axis.
std::sort(edgelist.begin(), edgelist.end(),
[](const Edge& e1, const Edge& e2)
{
return e1.angleToXaxis() > e2.angleToXaxis();
});
// Add the two vertices from the first edge into the final polygon.
sl::addVertex(rsh, edgelist.front().first());
sl::addVertex(rsh, edgelist.front().second());
// Sorting function for the nfp reference vertex search
auto& cmp = _vsort<RawShape>;
// the reference (rightmost top) vertex so far
top_nfp = *std::max_element(sl::cbegin(rsh), sl::cend(rsh), cmp );
auto tmp = std::next(sl::begin(rsh));
// Construct final nfp by placing each edge to the end of the previous
for(auto eit = std::next(edgelist.begin());
eit != edgelist.end();
++eit)
{
auto d = *tmp - eit->first();
Vertex p = eit->second() + d;
sl::addVertex(rsh, p);
// Set the new reference vertex
if(cmp(top_nfp, p)) top_nfp = p;
tmp = std::next(tmp);
}
return {rsh, top_nfp};
}
template<class RawShape>
static NfpResult<RawShape> nfpSimpleSimple(const RawShape& cstationary,
const RawShape& cother)
{
// Algorithms are from the original algorithm proposed in paper:
// https://eprints.soton.ac.uk/36850/1/CORMSIS-05-05.pdf
// /////////////////////////////////////////////////////////////////////////
// Algorithm 1: Obtaining the minkowski sum
// /////////////////////////////////////////////////////////////////////////
// I guess this is not a full minkowski sum of the two input polygons by
// definition. This yields a subset that is compatible with the next 2
// algorithms.
using Result = NfpResult<RawShape>;
using Vertex = TPoint<RawShape>;
using Coord = TCoord<Vertex>;
using Edge = _Segment<Vertex>;
using sl = ShapeLike;
using std::signbit;
using std::sort;
using std::vector;
using std::ref;
using std::reference_wrapper;
// TODO The original algorithms expects the stationary polygon in
// counter clockwise and the orbiter in clockwise order.
// So for preventing any further complication, I will make the input
// the way it should be, than make my way around the orientations.
// Reverse the stationary contour to counter clockwise
auto stcont = sl::getContour(cstationary);
std::reverse(stcont.begin(), stcont.end());
RawShape stationary;
sl::getContour(stationary) = stcont;
// Reverse the orbiter contour to counter clockwise
auto orbcont = sl::getContour(cother);
std::reverse(orbcont.begin(), orbcont.end());
// Copy the orbiter (contour only), we will have to work on it
RawShape orbiter;
sl::getContour(orbiter) = orbcont;
// Step 1: Make the orbiter reverse oriented
for(auto &v : sl::getContour(orbiter)) v = -v;
// An egde with additional data for marking it
struct MarkedEdge {
Edge e; Radians turn_angle = 0; bool is_turning_point = false;
MarkedEdge() = default;
MarkedEdge(const Edge& ed, Radians ta, bool tp):
e(ed), turn_angle(ta), is_turning_point(tp) {}
};
// Container for marked edges
using EdgeList = vector<MarkedEdge>;
EdgeList A, B;
// This is how an edge list is created from the polygons
auto fillEdgeList = [](EdgeList& L, const RawShape& poly, int dir) {
L.reserve(sl::contourVertexCount(poly));
auto it = sl::cbegin(poly);
auto nextit = std::next(it);
double turn_angle = 0;
bool is_turn_point = false;
while(nextit != sl::cend(poly)) {
L.emplace_back(Edge(*it, *nextit), turn_angle, is_turn_point);
it++; nextit++;
}
auto getTurnAngle = [](const Edge& e1, const Edge& e2) {
auto phi = e1.angleToXaxis();
auto phi_prev = e2.angleToXaxis();
auto TwoPi = 2.0*Pi;
if(phi > Pi) phi -= TwoPi;
if(phi_prev > Pi) phi_prev -= TwoPi;
auto turn_angle = phi-phi_prev;
if(turn_angle > Pi) turn_angle -= TwoPi;
return phi-phi_prev;
};
if(dir > 0) {
auto eit = L.begin();
auto enext = std::next(eit);
eit->turn_angle = getTurnAngle(L.front().e, L.back().e);
while(enext != L.end()) {
enext->turn_angle = getTurnAngle( enext->e, eit->e);
enext->is_turning_point =
signbit(enext->turn_angle) != signbit(eit->turn_angle);
++eit; ++enext;
}
L.front().is_turning_point = signbit(L.front().turn_angle) !=
signbit(L.back().turn_angle);
} else {
std::cout << L.size() << std::endl;
auto eit = L.rbegin();
auto enext = std::next(eit);
eit->turn_angle = getTurnAngle(L.back().e, L.front().e);
while(enext != L.rend()) {
enext->turn_angle = getTurnAngle(enext->e, eit->e);
enext->is_turning_point =
signbit(enext->turn_angle) != signbit(eit->turn_angle);
std::cout << enext->is_turning_point << " " << enext->turn_angle << std::endl;
++eit; ++enext;
}
L.back().is_turning_point = signbit(L.back().turn_angle) !=
signbit(L.front().turn_angle);
}
};
// Step 2: Fill the edgelists
fillEdgeList(A, stationary, 1);
fillEdgeList(B, orbiter, -1);
// A reference to a marked edge that also knows its container
struct MarkedEdgeRef {
reference_wrapper<MarkedEdge> eref;
reference_wrapper<vector<MarkedEdgeRef>> container;
Coord dir = 1; // Direction modifier
inline Radians angleX() const { return eref.get().e.angleToXaxis(); }
inline const Edge& edge() const { return eref.get().e; }
inline Edge& edge() { return eref.get().e; }
inline bool isTurningPoint() const {
return eref.get().is_turning_point;
}
inline bool isFrom(const vector<MarkedEdgeRef>& cont ) {
return &(container.get()) == &cont;
}
inline bool eq(const MarkedEdgeRef& mr) {
return &(eref.get()) == &(mr.eref.get());
}
MarkedEdgeRef(reference_wrapper<MarkedEdge> er,
reference_wrapper<vector<MarkedEdgeRef>> ec):
eref(er), container(ec), dir(1) {}
MarkedEdgeRef(reference_wrapper<MarkedEdge> er,
reference_wrapper<vector<MarkedEdgeRef>> ec,
Coord d):
eref(er), container(ec), dir(d) {}
};
using EdgeRefList = vector<MarkedEdgeRef>;
// Comparing two marked edges
auto sortfn = [](const MarkedEdgeRef& e1, const MarkedEdgeRef& e2) {
return e1.angleX() < e2.angleX();
};
EdgeRefList Aref, Bref; // We create containers for the references
Aref.reserve(A.size()); Bref.reserve(B.size());
// Fill reference container for the stationary polygon
std::for_each(A.begin(), A.end(), [&Aref](MarkedEdge& me) {
Aref.emplace_back( ref(me), ref(Aref) );
});
// Fill reference container for the orbiting polygon
std::for_each(B.begin(), B.end(), [&Bref](MarkedEdge& me) {
Bref.emplace_back( ref(me), ref(Bref) );
});
struct EdgeGroup { typename EdgeRefList::const_iterator first, last; };
auto mink = [sortfn] // the Mink(Q, R, direction) sub-procedure
(const EdgeGroup& Q, const EdgeGroup& R, bool positive)
{
// Step 1 "merge sort_list(Q) and sort_list(R) to form merge_list(Q,R)"
// Sort the containers of edge references and merge them.
// Q could be sorted only once and be reused here but we would still
// need to merge it with sorted(R).
EdgeRefList merged;
EdgeRefList S, seq;
merged.reserve((Q.last - Q.first) + (R.last - R.first));
merged.insert(merged.end(), Q.first, Q.last);
merged.insert(merged.end(), R.first, R.last);
sort(merged.begin(), merged.end(), sortfn);
// Step 2 "set i = 1, k = 1, direction = 1, s1 = q1"
// we dont use i, instead, q is an iterator into Q. k would be an index
// into the merged sequence but we use "it" as an iterator for that
// here we obtain references for the containers for later comparisons
const auto& Rcont = R.first->container.get();
const auto& Qcont = Q.first->container.get();
// Set the intial direction
Coord dir = positive? 1 : -1;
// roughly i = 1 (so q = Q.first) and s1 = q1 so S[0] = q;
auto q = Q.first;
S.push_back(*q++);
// Roughly step 3
while(q != Q.last) {
auto it = merged.begin();
while(it != merged.end() && !(it->eq(*(Q.first))) ) {
if(it->isFrom(Rcont)) {
auto s = *it;
s.dir = dir;
S.push_back(s);
}
if(it->eq(*q)) {
S.push_back(*q);
if(it->isTurningPoint()) dir = -dir;
if(q != Q.first) it += dir;
}
else it += dir;
}
++q; // "Set i = i + 1"
}
// Step 4:
// "Let starting edge r1 be in position si in sequence"
// whaaat? I guess this means the following:
S[0] = *R.first;
auto it = S.begin();
// "Set j = 1, next = 2, direction = 1, seq1 = si"
// we dont use j, seq is expanded dynamically.
dir = 1; auto next = std::next(R.first);
// Step 5:
// "If all si edges have been allocated to seqj" should mean that
// we loop until seq has equal size with S
while(seq.size() < S.size()) {
++it; if(it == S.end()) it = S.begin();
if(it->isFrom(Qcont)) {
seq.push_back(*it); // "If si is from Q, j = j + 1, seqj = si"
// "If si is a turning point in Q,
// direction = - direction, next = next + direction"
if(it->isTurningPoint()) { dir = -dir; next += dir; }
}
if(it->eq(*next) && dir == next->dir) { // "If si = direction.rnext"
// "j = j + 1, seqj = si, next = next + direction"
seq.push_back(*it); next += dir;
}
}
return seq;
};
EdgeGroup R{ Bref.begin(), Bref.begin() }, Q{ Aref.begin(), Aref.end() };
auto it = Bref.begin();
bool orientation = true;
EdgeRefList seqlist;
seqlist.reserve(3*(Aref.size() + Bref.size()));
while(it != Bref.end()) // This is step 3 and step 4 in one loop
if(it->isTurningPoint()) {
R = {R.last, it++};
auto seq = mink(Q, R, orientation);
// TODO step 6 (should be 5 shouldn't it?): linking edges from A
// I don't get this step
seqlist.insert(seqlist.end(), seq.begin(), seq.end());
orientation = !orientation;
} else ++it;
if(seqlist.empty()) seqlist = mink(Q, {Bref.begin(), Bref.end()}, true);
// /////////////////////////////////////////////////////////////////////////
// Algorithm 2: breaking Minkowski sums into track line trips
// /////////////////////////////////////////////////////////////////////////
// /////////////////////////////////////////////////////////////////////////
// Algorithm 3: finding the boundary of the NFP from track line trips
// /////////////////////////////////////////////////////////////////////////
return Result(stationary, Vertex());
}
// Specializable NFP implementation class. Specialize it if you have a faster
// or better NFP implementation
template<class RawShape, NfpLevel nfptype>
struct NfpImpl {
NfpResult<RawShape> operator()(const RawShape& sh, const RawShape& other)
{
static_assert(nfptype == NfpLevel::CONVEX_ONLY,
"Nfp::noFitPolygon() unimplemented!");
// Libnest2D has a default implementation for convex polygons and will
// use it if feasible.
return nfpConvexOnly(sh, other);
}
};
template<class RawShape> struct MaxNfpLevel {
static const BP2D_CONSTEXPR NfpLevel value = NfpLevel::CONVEX_ONLY;
};
private:
// Do not specialize this...
template<class RawShape>
static inline bool _vsort(const TPoint<RawShape>& v1,
const TPoint<RawShape>& v2)
{
using Coord = TCoord<TPoint<RawShape>>;
Coord &&x1 = getX(v1), &&x2 = getX(v2), &&y1 = getY(v1), &&y2 = getY(v2);
auto diff = y1 - y2;
if(std::abs(diff) <= std::numeric_limits<Coord>::epsilon())
return x1 < x2;
return diff < 0;
}
};
}
#endif // GEOMETRIES_NOFITPOLYGON_HPP