OpenSubdiv/opensubdiv/far/subdivisionTables.h

339 lines
13 KiB
C++

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#ifndef FAR_SUBDIVISION_TABLES_H
#define FAR_SUBDIVISION_TABLES_H
#include <assert.h>
#include <utility>
#include <vector>
#include "../version.h"
#include "../far/table.h"
template <class T> class HbrFace;
template <class T> class HbrHalfedge;
template <class T> class HbrVertex;
template <class T> class HbrMesh;
namespace OpenSubdiv {
namespace OPENSUBDIV_VERSION {
template <class T, class U> class FarMesh;
template <class T, class U> class FarMeshFactory;
// Catmull-Clark tables store the indexing tables required in order to compute
// the refined positions of a mesh without the help of a hierarchical data
// structure. The advantage of this representation is its ability to be executed
// in a massively parallel environment without data dependencies.
//
// The vertex indexing tables require the vertex buffer to be sorted based on the
// nature of the parent of a given vertex : either a face, an edge, or a vertex.
//
// [...Child of a Face...]|[... Child of an Edge ...]|[... Child of a Vertex ...]
//
// Each segment of the buffer is associated the following tables (<T> is the type):
// _<T>_IT : indices of all the adjacent vertices required by the compute kernels
// _<T>_W : fractional weight of the vertex (based on sharpness & topology)
// _<T>_ITa : codex for the two previous tables
// For more details see : "Feature Adaptive GPU Rendering of Catmull-Clark
// Subdivision Surfaces" p.3 - par. 3.2
template <class T, class U=T> class FarSubdivisionTables {
public:
// Destructor
virtual ~FarSubdivisionTables<T,U>() {}
// Return the highest level of subdivision possible with these tables
int GetMaxLevel() const { return (int)(_vertsOffsets.size()); }
// Memory required to store the indexing tables
virtual int GetMemoryUsed() const;
// Compute the positions of refined vertices using the specified kernels
virtual void Apply( int level, void * clientdata=0 ) const=0;
// Pointer back to the mesh owning the table
FarMesh<T,U> * GetMesh() { return _mesh; }
// The index of the first vertex that belongs to the level of subdivision
// represented by this set of FarCatmarkSubdivisionTables
int GetFirstVertexOffset( int level ) const;
// Number of vertices children of a face at a given level (always 0 for Loop)
int GetNumFaceVertices( int level ) const;
// Number of vertices children of an edge at a given level
int GetNumEdgeVertices( int level ) const;
// Number of vertices children of a vertex at a given level
int GetNumVertexVertices( int level ) const;
// Total number of vertices at a given level
int GetNumVertices( int level ) const;
// Indexing tables accessors
// Returns the edge vertices indexing table
FarTable<int> const & Get_E_IT() const { return _E_IT; }
// Returns the edge vertices weights table
FarTable<float> const & Get_E_W() const { return _E_W; }
// Returns the vertex vertices codex table
FarTable<int> const & Get_V_ITa() const { return _V_ITa; }
// Returns the vertex vertices indexing table
FarTable<unsigned int> const & Get_V_IT() const { return _V_IT; }
// Returns the vertex vertices weights table
FarTable<float> const & Get_V_W() const { return _V_W; }
// Returns the number of indexing tables needed to represent this particular
// subdivision scheme.
virtual int GetNumTables() const { return 5; }
protected:
friend class FarMeshFactory<T,U>;
FarSubdivisionTables<T,U>( FarMesh<T,U> * mesh, int maxlevel );
// Returns an integer based on the order in which the kernels are applied
static int getMaskRanking( unsigned char mask0, unsigned char mask1 );
// Compares to vertices based on the ranking of their hbr masks combination
static bool compareVertices( HbrVertex<T> const * x, HbrVertex<T> const * y );
struct VertexKernelBatch {
int kernelF; // number of face vertices
int kernelE; // number of edge vertices
std::pair<int,int> kernelB; // first / last vertex vertex batch (kernel B)
std::pair<int,int> kernelA1; // first / last vertex vertex batch (kernel A pass 1)
std::pair<int,int> kernelA2; // first / last vertex vertex batch (kernel A pass 2)
VertexKernelBatch() : kernelF(0), kernelE(0) { }
void InitVertexKernels(int a, int b) {
kernelB.first = kernelA1.first = kernelA2.first = a;
kernelB.second = kernelA1.second = kernelA2.second = b;
}
void AddVertex( int index, int rank ) {
// expand the range of kernel batches based on vertex index and rank
if (rank<7) {
if (index < kernelB.first)
kernelB.first=index;
if (index > kernelB.second)
kernelB.second=index;
}
if ((rank>2) and (rank<8)) {
if (index < kernelA2.first)
kernelA2.first=index;
if (index > kernelA2.second)
kernelA2.second=index;
}
if (rank>6) {
if (index < kernelA1.first)
kernelA1.first=index;
if (index > kernelA1.second)
kernelA1.second=index;
}
}
};
// Returns the range of vertex indices of each of the 3 batches of VertexPoint
// compute Kernels (kernel application order is : B / A / A)
std::vector<VertexKernelBatch> & getKernelBatches() const { return _batches; }
protected:
// mesh that owns this subdivisionTable
FarMesh<T,U> * _mesh;
FarTable<int> _E_IT; // vertices from edge refinement
FarTable<float> _E_W; // weigths
FarTable<int> _V_ITa; // vertices from vertex refinement
FarTable<unsigned int> _V_IT; // indices of adjacent vertices
FarTable<float> _V_W; // weights
std::vector<VertexKernelBatch> _batches; // batches of vertices for kernel execution
std::vector<int> _vertsOffsets; // offset to the first vertex of each level
private:
};
template <class T, class U>
FarSubdivisionTables<T,U>::FarSubdivisionTables( FarMesh<T,U> * mesh, int maxlevel ) :
_mesh(mesh),
_E_IT(maxlevel+1),
_E_W(maxlevel+1),
_V_ITa(maxlevel+1),
_V_IT(maxlevel+1),
_V_W(maxlevel+1),
_batches(maxlevel),
_vertsOffsets(maxlevel+1,0)
{
assert( maxlevel > 0 );
}
// The ranking matrix defines the order of execution for the various combinations
// of Corner, Crease, Dart and Smooth topological configurations. This matrix is
// somewhat arbitrary as it is possible to perform some permutations in the
// ordering without adverse effects, but it does try to minimize kernel switching
// during the exececution of Apply(). This table is identical for both the Loop
// and Catmull-Clark schemes.
//
// The matrix is derived from this table :
// Rules +----+----+----+----+----+----+----+----+----+----+
// Pass 0 | Dt | Sm | Sm | Dt | Sm | Dt | Sm | Cr | Co | Cr |
// Pass 1 | | | | Co | Co | Cr | Cr | Co | | |
// Kernel +----+----+----+----+----+----+----+----+----+----+
// Pass 0 | B | B | B | B | B | B | B | A | A | A |
// Pass 1 | | | | A | A | A | A | A | | |
// +----+----+----+----+----+----+----+----+----+----+
// Rank | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
// +----+----+----+----+----+----+----+----+----+----+
// with :
// - A : compute kernel applying k_Crease / k_Corner rules
// - B : compute kernel applying k_Smooth / k_Dart rules
template <class T, class U> int
FarSubdivisionTables<T,U>::getMaskRanking( unsigned char mask0, unsigned char mask1 ) {
static short masks[4][4] = { { 0, 1, 6, 4 },
{ 0xFF, 2, 5, 3 },
{ 0xFF, 0xFF, 9, 7 },
{ 0xFF, 0xFF, 0xFF, 8 } };
return masks[mask0][mask1];
}
// Compare the weight masks of 2 vertices using the following ordering table.
//
// Assuming 2 computer kernels :
// - A handles the k_Crease and K_Corner rules
// - B handles the K_Smooth and K_Dart rules
// The vertices should be sorted so as to minimize the number execution calls of
// these kernels to match the 2 pass interpolation scheme used in Hbr.
template <class T, class U> bool
FarSubdivisionTables<T,U>::compareVertices( HbrVertex<T> const * x, HbrVertex<T> const * y ) {
// Masks of the parent vertex decide for the current vertex.
HbrVertex<T> * px=x->GetParentVertex(),
* py=y->GetParentVertex();
assert( (getMaskRanking(px->GetMask(false), px->GetMask(true) )!=0xFF) and
(getMaskRanking(py->GetMask(false), py->GetMask(true) )!=0xFF) );
return getMaskRanking(px->GetMask(false), px->GetMask(true) ) <
getMaskRanking(py->GetMask(false), py->GetMask(true) );
}
template <class T, class U> int
FarSubdivisionTables<T,U>::GetFirstVertexOffset( int level ) const {
assert(level>=0 and level<=(int)_vertsOffsets.size());
return _vertsOffsets[level];
}
template <class T, class U> int
FarSubdivisionTables<T,U>::GetNumFaceVertices( int level ) const {
assert(level>=0 and level<=(int)_batches.size());
return _batches[level-1].kernelF;
}
template <class T, class U> int
FarSubdivisionTables<T,U>::GetNumEdgeVertices( int level ) const {
assert(level>=0 and level<=(int)_batches.size());
return _batches[level-1].kernelE;
}
template <class T, class U> int
FarSubdivisionTables<T,U>::GetNumVertexVertices( int level ) const {
assert(level>=0 and level<=(int)_batches.size());
if (level==0)
return _mesh->GetNumCoarseVertices();
else
return std::max( _batches[level-1].kernelB.second,
std::max(_batches[level-1].kernelA1.second,
_batches[level-1].kernelA2.second));
}
template <class T, class U> int
FarSubdivisionTables<T,U>::GetNumVertices( int level ) const {
assert(level>=0 and level<=(int)_batches.size());
if (level==0)
return GetNumVertexVertices(0);
else
return GetNumFaceVertices(level)+
GetNumEdgeVertices(level)+
GetNumVertexVertices(level);
}
template <class T, class U> int
FarSubdivisionTables<T,U>::GetMemoryUsed() const {
return _E_IT.GetMemoryUsed()+
_E_W.GetMemoryUsed()+
_V_ITa.GetMemoryUsed()+
_V_IT.GetMemoryUsed()+
_V_W.GetMemoryUsed();
}
} // end namespace OPENSUBDIV_VERSION
using namespace OPENSUBDIV_VERSION;
} // end namespace OpenSubdiv
#endif /* FAR_SUBDIVISION_TABLES_H */