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////////////////////////////////////////////////////////////////////////////
// File: SparseBundleCPU.h
// Author: Changchang Wu (ccwu@cs.washington.edu)
// Description : interface of the CPU-version of multi-core bundle adjustment
//
// Copyright (c) 2011 Changchang Wu (ccwu@cs.washington.edu)
// and the University of Washington at Seattle
//
// This library is free software; you can redistribute it and/or
// modify it under the terms of the GNU General Public
// License as published by the Free Software Foundation; either
// Version 3 of the License, or (at your option) any later version.
//
// This library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
//
////////////////////////////////////////////////////////////////////////////////
#if !defined(SPARSE_BUNDLE_CPU_H)
#define SPARSE_BUNDLE_CPU_H
// BYTE-ALIGNMENT for data allocation (16 required for SSE, 32 required for AVX)
// PREVIOUS version uses only SSE. The new version will include AVX.
// SO the alignment is increased from 16 to 32
#define VECTOR_ALIGNMENT 32
#define FLOAT_ALIGN 8
#define VECTOR_ALIGNMENT_MASK (VECTOR_ALIGNMENT - 1)
#define ALIGN_PTR(p) \
((((size_t)p) + VECTOR_ALIGNMENT_MASK) & (~VECTOR_ALIGNMENT_MASK))
namespace pba {
template <class Float>
class avec {
bool _owner;
Float* _data;
Float* _last;
size_t _size;
size_t _capacity;
public:
static Float* allocate(size_t count) {
size_t size = count * sizeof(Float);
#ifdef _MSC_VER
Float* p = (Float*)_aligned_malloc(size, VECTOR_ALIGNMENT);
if (p == NULL) throw std::bad_alloc();
return p;
#else
char* p = (char*)malloc(size + VECTOR_ALIGNMENT + 4);
if (p == NULL) throw std::bad_alloc();
char* p1 = p + 1;
char* p2 =
(char*)ALIGN_PTR(p1); //(char*) (((((size_t)p1) + 15) >> 4) << 4);
char* p3 = (p2 - 1);
p3[0] = (p2 - p);
return (Float*)p2;
#endif
}
static void deallocate(void* p) {
#ifdef _MSC_VER
_aligned_free(p);
#else
char* p3 = ((char*)p) - 1;
free(((char*)p) - p3[0]);
#endif
}
public:
avec() {
_owner = true;
_last = _data = NULL;
_size = _capacity = 0;
}
avec(size_t count) {
_data = allocate(count);
_size = _capacity = count;
_last = _data + count;
_owner = true;
}
~avec() {
if (_data && _owner) deallocate(_data);
}
inline void resize(size_t newcount) {
if (!_owner) {
_data = _last = NULL;
_capacity = _size = 0;
_owner = true;
}
if (newcount <= _capacity) {
_size = newcount;
_last = _data + newcount;
} else {
if (_data && _owner) deallocate(_data);
_data = allocate(newcount);
_size = _capacity = newcount;
_last = _data + newcount;
}
}
inline void set(Float* data, size_t count) {
if (_data && _owner) deallocate(_data);
_data = data;
_owner = false;
_size = count;
_last = _data + _size;
_capacity = count;
}
inline void swap(avec<Float>& next) {
bool _owner_bak = _owner;
Float* _data_bak = _data;
Float* _last_bak = _last;
size_t _size_bak = _size;
size_t _capa_bak = _capacity;
_owner = next._owner;
_data = next._data;
_last = next._last;
_size = next._size;
_capacity = next._capacity;
next._owner = _owner_bak;
next._data = _data_bak;
next._last = _last_bak;
next._size = _size_bak;
next._capacity = _capa_bak;
}
inline operator Float*() { return _size ? _data : NULL; }
inline operator Float* const() const { return _data; }
inline Float* begin() { return _size ? _data : NULL; }
inline Float* data() { return _size ? _data : NULL; }
inline Float* end() { return _last; }
inline const Float* begin() const { return _size ? _data : NULL; }
inline const Float* end() const { return _last; }
inline size_t size() const { return _size; }
inline size_t IsValid() const { return _size; }
void SaveToFile(const char* name);
};
template <class Float>
class SparseBundleCPU : public ParallelBA, public ConfigBA {
public:
SparseBundleCPU(const int num_threads);
typedef avec<Float> VectorF;
typedef std::vector<int> VectorI;
typedef float float_t;
protected: // cpu data
int _num_camera;
int _num_point;
int _num_imgpt;
CameraT* _camera_data;
float* _point_data;
////////////////////////////////
const float* _imgpt_data;
const int* _camera_idx;
const int* _point_idx;
const int* _focal_mask;
///////////sumed square error
float _projection_sse;
protected: // cuda data
VectorF _cuCameraData;
VectorF _cuCameraDataEX;
VectorF _cuPointData;
VectorF _cuPointDataEX;
VectorF _cuMeasurements;
VectorF _cuImageProj;
VectorF _cuJacobianCamera;
VectorF _cuJacobianPoint;
VectorF _cuJacobianCameraT;
VectorI _cuProjectionMap;
VectorI _cuPointMeasurementMap;
VectorI _cuCameraMeasurementMap;
VectorI _cuCameraMeasurementList;
VectorI _cuCameraMeasurementListT;
//////////////////////////
VectorF _cuBlockPC;
VectorF _cuVectorSJ;
/// LM normal equation
VectorF _cuVectorJtE;
VectorF _cuVectorJJ;
VectorF _cuVectorJX;
VectorF _cuVectorXK;
VectorF _cuVectorPK;
VectorF _cuVectorZK;
VectorF _cuVectorRK;
//////////////////////////////////
protected:
int _num_imgpt_q;
float _weight_q;
VectorI _cuCameraQList;
VectorI _cuCameraQMap;
VectorF _cuCameraQMapW;
VectorF _cuCameraQListW;
protected:
bool ProcessIndexCameraQ(std::vector<int>& qmap, std::vector<int>& qlist);
void ProcessWeightCameraQ(std::vector<int>& cpnum, std::vector<int>& qmap,
Float* qmapw, Float* qlistw);
protected: // internal functions
int ValidateInputData();
int InitializeBundle();
int GetParameterLength();
void BundleAdjustment();
void NormalizeData();
void TransferDataToHost();
void DenormalizeData();
void NormalizeDataF();
void NormalizeDataD();
bool InitializeStorageForSFM();
bool InitializeStorageForCG();
void SaveBundleRecord(int iter, float res, float damping, float& g_norm,
float& g_inf);
protected:
void PrepareJacobianNormalization();
void EvaluateJacobians();
void ComputeJtE(VectorF& E, VectorF& JtE, int mode = 0);
void ComputeJX(VectorF& X, VectorF& JX, int mode = 0);
void ComputeDiagonal(VectorF& JJI);
void ComputeBlockPC(float lambda, bool dampd);
void ApplyBlockPC(VectorF& v, VectorF& pv, int mode = 0);
float UpdateCameraPoint(VectorF& dx, VectorF& cuImageTempProj);
float EvaluateProjection(VectorF& cam, VectorF& point, VectorF& proj);
float EvaluateProjectionX(VectorF& cam, VectorF& point, VectorF& proj);
float SaveUpdatedSystem(float residual_reduction, float dx_sqnorm,
float damping);
float EvaluateDeltaNorm();
int SolveNormalEquationPCGB(float lambda);
int SolveNormalEquationPCGX(float lambda);
int SolveNormalEquation(float lambda);
void NonlinearOptimizeLM();
void AdjustBundleAdjsutmentMode();
void RunProfileSteps();
void RunTestIterationLM(bool reduced);
void DumpCooJacobian();
private:
static int FindProcessorCoreNum();
public:
virtual void AbortBundleAdjustment() { __abort_flag = true; }
virtual int GetCurrentIteration() { return __current_iteration; }
virtual void SetNextTimeBudget(int seconds) {
__bundle_time_budget = seconds;
}
virtual void SetNextBundleMode(BundleModeT mode) {
__bundle_mode_next = mode;
}
virtual void SetFixedIntrinsics(bool fixed) { __fixed_intrinsics = fixed; }
virtual void EnableRadialDistortion(DistortionT type) {
__use_radial_distortion = type;
}
virtual void ParseParam(int narg, char** argv) {
ConfigBA::ParseParam(narg, argv);
}
virtual ConfigBA* GetInternalConfig() { return this; }
public:
SparseBundleCPU();
virtual void SetCameraData(size_t ncam, CameraT* cams);
virtual void SetPointData(size_t npoint, Point3D* pts);
virtual void SetProjection(size_t nproj, const Point2D* imgpts,
const int* point_idx, const int* cam_idx);
virtual void SetFocalMask(const int* fmask, float weight);
virtual float GetMeanSquaredError();
virtual int RunBundleAdjustment();
};
ParallelBA* NewSparseBundleCPU(bool dp, const int num_threads);
} // namespace pba
#endif
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