masmconf-68-1d.hpp

这是个人脸识别程序

#define CONF_fStraightenBeforeAligning	0		// train: straighten (as well as centralizing) shapes before building
#define CONF_fRecentralizeShapes		1		// train: recentralize shapes before building
#define CONF_ShapeNoise					0   	// train: random x and y noise in pixels (0 for no noise)
#define CONF_xRhsStretchShape			0	 	// train: random x stretch of right hand side of shapes (0 for no distortion)
 												//        (see RhsStretchShapeNoise.txt)
#define CONF_xStretchShape				0.0		// train: random x stretch of shapes (0 for no stretching)
#define CONF_fMasmGaussianNoise			1		// train: use gaussian noise for above (else uniform)

#define CONF_nReducedNbrPoints			0		// both: 0=use nbr of points in Shape[iRefShape], n=reduce to n points
												// Some decent values for other defs if CONF_nReducedNbrPoints is not 0
												// CONF_fShuffleLandmarks			0 or 1
												// CONF_nRandSeedForShuffle			1
												// CONF_fGenExplicitPrevNext		0
												// CONF_nMethodNormSearchResults	0
												// CONF_fUseRefAsStartShape			1
												// CONF_xRefShapeOffset				5.0
												// CONF_yRefShapeOffset				0.0

#define CONF_fShuffleLandmarks			0		// both: 0=use standard landmark positions table gTransM4
												//       1=use randomly reordered gTransM4
#define CONF_nRandSeedForShuffle		1		// both: only used if CONF_fShuffleLandmarks is set

static const char *CONF_sOutDir	= "out";		// write output images to this directory

// following are used exclusively during searching (ms.exe)

#define CONF_nPixSearch 				3			// search: how far along the whisker do we search, each side
#define CONF_nPixSearch2d 				2			// search: this is used if there are ANY 2D profs at pyramid level 0
#define CONF_nyMaxOffset(nPixSearch2d)(nPixSearch2d)// search: max orthogonal offset around landmark when profile matching using 2D profiles
#define CONF_nQualifyingDisplacementMethod 1		// search: index of test used to see if displacement is acceptable
													//          set to 1..6 (in practice makes little difference because for
													//          BioId we max out CONF_nMaxSearchIters)
#define CONF_nMaxSearchIters 			4			// search:
#define CONF_nQualifyingDisplacments	75			// search:
#define CONF_nMaxSearchIters2d 			4			// search: see 07-2d-nMaxSearchItersnQualifyingDisplacements.txt
													//         this is used if there are ANY 2D profs at pyramid level 0
#define CONF_nQualifyingDisplacments2d	90			// search: see ditto
#define CONF_nItersBeforeModelFit		0 			// search: number of profile match iterations before we start
													//         matching to shape model
#define CONF_fWeightedAlign				0			// search: 1 to use weights determined by goodness-of-profile-fit for
													//         shapes aligning
													//         TODO weights seem to improve 1d profs but make 2d profs worse
#define CONF_fUseBestSoFar				0			// search: yields no improvement but is more complex, so define to 0
#define CONF_nSearchMomentumLev			99			// search: use any value >CONF_nMaxLevs for no momentum
													//         (TODO gives no better results)
#define CONF_SearchMomentum				1.0			// search:
#define CONF_fStartShapeOffset			0
#define CONF_CombineProfWeight			1.0			// search: relative weighting of distances for multi sub prof models

// only one of the following three should be set
#define CONF_fStandardProfDist			1		// search: 1=standard distance: dist * Covar * dist
#define CONF_fAbsProfDiff				0		// search: 1=absolute differences weighed by covar mat
#define CONF_fExperimentalProfDist		0		// search: 1=experimental dist function for profile fit

#if CONF_fDebug1dProfs || CONF_fDebug2dProfs
#define CONF_xRefShapeOffset			0.0		// search: for SearchMehtod==SM_UseRefShape only, horiz offset
#define CONF_yRefShapeOffset			0.0		// search: for SearchMethod==SM_UseRefShape only, vert offset
#else
#define CONF_xRefShapeOffset			0.0		// search: for SearchMehtod==SM_UseRefShape only, horiz offset
#define CONF_yRefShapeOffset			0.0		// search: for SearchMethod==SM_UseRefShape only, vert offset
#endif

// If we store profiles using doubles or floats then the value of CONF_GenNormalizedProfLen is not critical.
// If we store profiles using ints or shorts then we want the biggest value (because the bigger the number
// the more the significant digits) that doesn't cause overflows in calculations in the ANN library.
// Normalizing profile lengths to 1 would make all values in the profile 0..1 which
// can't be represented as an integer.  So we normalize to a value bigger much bigger than 1.
// We normalize so the average element is equal to CONF_GenNormalizedProfLen
// i.e. we normalize to nrows() * CONF_GenNormalizedProfLen

#define CONF_GenNormalizedProfLen 1		// train:  len of 1 means nice range of values in covar matrices
										// search: read value from ASM file)

// The following options don't affect the generated .asm file or search results
// They are for debugging, logging, and other extensions

#define CONF_fFindMemoryLeaks		   _DEBUG	// both
#define CONF_fPrintProfileWarn				0	// both: print warning if profile has a fishy value
#define CONF_fShowSampledImageWithShapes	0	// train: for debugging, slow but a useful check
#define CONF_fShowSampledImageAllLevs 		0	// train: modifes action of CONF_fShowSampledImageWithShapes:
												//        1 to show all levels, else just level 0
#define CONF_fCropImageToShape 				0 	// train: modifies action of CONF_fShowSampledImageWithShapes
#define CONF_fMeasureRefAgainstModel		0 	// search: pre-align shape to model and log results to see if any changes
												//         occur (there should be none)
#define CONF_fRawProfs						0	// train: save raw profiles in out/rawprof.txt, for debugging
#define CONF_fDumpLandmark					0	// train: dump features for post analysis with R
#define CONF_fShowDebugImages				0	// train: show aligned shapes, landmark attributes etc.
#define CONF_fConnectDots					1	// search: 1=draw lines between landmarks, 0=don't draw line
static const int CONF_iSearchPrintPoint	= -1;	// search: this is what gets printed on the end of each ms search
												//         progress line, make -1 for none
static const int CONF_iProfTestPoint	= -1;	// both: tracing, only used in PrepareProf1D, -1 for none
#define CONF_nPointsInDatFile				100	//search: number of points printed in ms.dat, unused points print as NA
#define CONF_fSkipExtraEyeLinesInDisplayedShape	1	// both: skip LINES connecting extra eye points in DrawShape.  All
													//       landmarks POINTS are always displayed.
#define CONF_fPrintAllInDatFile				0	// search: print all tags in .dat file (else aLev0 for final CombinedShape)
#define CONF_fPrintFaceWidth				0	// search:
#define CONF_sMsDatFilename 				"out/ms.dat"
#define CONF_fPrintAllModelFits				0

// When doing the point-to-point fitness test we can limit the number
// of landmarks used for the test by specifying CONF_nMaxPointsFitTest.
// You would do this if you want to use same number of landmarks when
// comparing models with different numbers of landmarks.

#define	CONF_nMaxPointsFitTest				68		// 0:use all landmarks for fitness test N:use a max of N landmarks

static const char *CONF_sRawProfFile 	= "out/rawprof.txt";	// train

// externs for masmconf.cpp

unsigned GetGenProfSpec(int iLev, int iPoint);

#if 0	// these externs for masmconf.cpp can't be defined here because of .h file order dependencies
void InitAsmsForSearch(tAsmModel Model[],					// out, except sFile must be initialized on entry
						int nModels, unsigned ImageBits);	// in

void CombineModelSearchResults(SHAPE &CombinedShape,		// io: best shape formed by combining all searches
					int iModel, const SHAPE &Shape);		// in: results of current search

#endif

#endif // masmconf_hpp