示例#1
0
// compute gradient magnitude and orientation at each location (uses sse)
void gradMag( float *I, float *M, float *O, int h, int w, int d ) {
  int x, y, y1, c, h4, s; float *Gx, *Gy, *M2; __m128 *_Gx, *_Gy, *_M2, _m;
  float *acost = acosTable(), acMult=25000/2.02f;
  // allocate memory for storing one column of output (padded so h4%4==0)
  h4=(h%4==0) ? h : h-(h%4)+4; s=d*h4*sizeof(float);
  M2=(float*) alMalloc(s,16); _M2=(__m128*) M2;
  Gx=(float*) alMalloc(s,16); _Gx=(__m128*) Gx;
  Gy=(float*) alMalloc(s,16); _Gy=(__m128*) Gy;
  // compute gradient magnitude and orientation for each column
  for( x=0; x<w; x++ ) {
    // compute gradients (Gx, Gy) and squared magnitude (M2) for each channel
    for( c=0; c<d; c++ ) grad1( I+x*h+c*w*h, Gx+c*h4, Gy+c*h4, h, w, x );
    for( y=0; y<d*h4/4; y++ ) _M2[y]=ADD(MUL(_Gx[y],_Gx[y]),MUL(_Gy[y],_Gy[y]));
    // store gradients with maximum response in the first channel
    for(c=1; c<d; c++) {
      for( y=0; y<h4/4; y++ ) {
        y1=h4/4*c+y; _m = CMPGT( _M2[y1], _M2[y] );
        _M2[y] = OR( AND(_m,_M2[y1]), ANDNOT(_m,_M2[y]) );
        _Gx[y] = OR( AND(_m,_Gx[y1]), ANDNOT(_m,_Gx[y]) );
        _Gy[y] = OR( AND(_m,_Gy[y1]), ANDNOT(_m,_Gy[y]) );
      }
    }
    // compute gradient mangitude (M) and normalize Gx
    for( y=0; y<h4/4; y++ ) {
      _m = MIN( RCPSQRT(_M2[y]), SET(1e10f) );
      _M2[y] = RCP(_m);
      _Gx[y] = MUL( MUL(_Gx[y],_m), SET(acMult) );
      _Gx[y] = XOR( _Gx[y], AND(_Gy[y], SET(-0.f)) );
    };
    memcpy( M+x*h, M2, h*sizeof(float) );
    // compute and store gradient orientation (O) via table lookup
    if(O!=0) for( y=0; y<h; y++ ) O[x*h+y] = acost[(int)Gx[y]];
  }
  alFree(Gx); alFree(Gy); alFree(M2);
}
示例#2
0
// compute gradient magnitude and orientation at each location (uses sse)
void gradMag( float *I, float *M, float *O, int h, int w, int d, bool full ) {
    int x, y, y1, c, h4, s;
    float *Gx, *Gy, *M2;
    __m128 *_Gx, *_Gy, *_M2, _m;
    float *acost = acosTable(), acMult = 10000.0f;
    // allocate memory for storing one column of output (padded so h4%4==0)
    h4 = (h % 4 == 0) ? h : h - (h % 4) + 4;
    s = d * h4 * sizeof(float);
    M2 = (float*) alMalloc(s, 16);
    _M2 = (__m128*) M2;
    Gx = (float*) alMalloc(s, 16);
    _Gx = (__m128*) Gx;
    Gy = (float*) alMalloc(s, 16);
    _Gy = (__m128*) Gy;
    // compute gradient magnitude and orientation for each column
    for ( x = 0; x < w; x++ ) {
        // compute gradients (Gx, Gy) with maximum squared magnitude (M2)
        for (c = 0; c < d; c++) {
            grad1( I + x * h + c * w * h, Gx + c * h4, Gy + c * h4, h, w, x );
            for ( y = 0; y < h4 / 4; y++ ) {
                y1 = h4 / 4 * c + y;
                _M2[y1] = ADD(MUL(_Gx[y1], _Gx[y1]), MUL(_Gy[y1], _Gy[y1]));
                if ( c == 0 ) { continue; }
                _m = CMPGT( _M2[y1], _M2[y] );
                _M2[y] = OR( AND(_m, _M2[y1]), ANDNOT(_m, _M2[y]) );
                _Gx[y] = OR( AND(_m, _Gx[y1]), ANDNOT(_m, _Gx[y]) );
                _Gy[y] = OR( AND(_m, _Gy[y1]), ANDNOT(_m, _Gy[y]) );
            }
        }
        // compute gradient mangitude (M) and normalize Gx
        for ( y = 0; y < h4 / 4; y++ ) {
            _m = MINsse( RCPSQRT(_M2[y]), SET(1e10f) );
            _M2[y] = RCP(_m);
            if (O) { _Gx[y] = MUL( MUL(_Gx[y], _m), SET(acMult) ); }
            if (O) { _Gx[y] = XOR( _Gx[y], AND(_Gy[y], SET(-0.f)) ); }
        };
        memcpy( M + x * h, M2, h * sizeof(float) );
        // compute and store gradient orientation (O) via table lookup
        if ( O != 0 ) for ( y = 0; y < h; y++ ) { O[x * h + y] = acost[(int)Gx[y]]; }
        if ( O != 0 && full ) {
            y1 = ((~size_t(O + x * h) + 1) & 15) / 4;
            y = 0;
            for ( ; y < y1; y++ ) { O[y + x * h] += (Gy[y] < 0) * PI; }
            for ( ; y < h - 4; y += 4 ) STRu( O[y + x * h],
                                                  ADD( LDu(O[y + x * h]), AND(CMPLT(LDu(Gy[y]), SET(0.f)), SET(PI)) ) );
            for ( ; y < h; y++ ) { O[y + x * h] += (Gy[y] < 0) * PI; }
        }
    }
    alFree(Gx);
    alFree(Gy);
    alFree(M2);
}
示例#3
0
文件: hog.cpp 项目: WuNL/pcl
void 
pcl::people::HOG::gradMag( float *I, int h, int w, int d, float *M, float *O ) const
{
#if defined(__SSE2__)
  int x, y, y1, c, h4, s; float *Gx, *Gy, *M2; __m128 *_Gx, *_Gy, *_M2, _m;
  float *acost = acosTable(), acMult=25000/2.02f;

  // allocate memory for storing one column of output (padded so h4%4==0)
  h4=(h%4==0) ? h : h-(h%4)+4; s=d*h4*sizeof(float);

  M2=(float*) alMalloc(s,16);
  _M2=(__m128*) M2;
  Gx=(float*) alMalloc(s,16); _Gx=(__m128*) Gx;
  Gy=(float*) alMalloc(s,16); _Gy=(__m128*) Gy;

  // compute gradient magnitude and orientation for each column
  for( x=0; x<w; x++ ) {
  // compute gradients (Gx, Gy) and squared magnitude (M2) for each channel
  for( c=0; c<d; c++ ) grad1( I+x*h+c*w*h, Gx+c*h4, Gy+c*h4, h, w, x );
  for( y=0; y<d*h4/4; y++ ) _M2[y]=ADD(MUL(_Gx[y],_Gx[y]),MUL(_Gy[y],_Gy[y]));
  // store gradients with maximum response in the first channel
  for(c=1; c<d; c++) {
    for( y=0; y<h4/4; y++ ) {
    y1=h4/4*c+y; _m = CMPGT( _M2[y1], _M2[y] );
    _M2[y] = OR( AND(_m,_M2[y1]), ANDNOT(_m,_M2[y]) );
    _Gx[y] = OR( AND(_m,_Gx[y1]), ANDNOT(_m,_Gx[y]) );
    _Gy[y] = OR( AND(_m,_Gy[y1]), ANDNOT(_m,_Gy[y]) );
    }
  }
  // compute gradient magnitude (M) and normalize Gx
  for( y=0; y<h4/4; y++ ) {
    _m = MIN( RCPSQRT(_M2[y]), SET(1e10f) );
    _M2[y] = RCP(_m);
    _Gx[y] = MUL( MUL(_Gx[y],_m), SET(acMult) );
    _Gx[y] = XOR( _Gx[y], AND(_Gy[y], SET(-0.f)) );
  };

  memcpy( M+x*h, M2, h*sizeof(float) );
  // compute and store gradient orientation (O) via table lookup
  if(O!=0) for( y=0; y<h; y++ ) O[x*h+y] = acost[(int)Gx[y]];
  }
  alFree(Gx); alFree(Gy); alFree(M2); 
#else
  int x, y, y1, c, h4, s; float *Gx, *Gy, *M2; 
  float *acost = acosTable(), acMult=25000/2.02f;

  // allocate memory for storing one column of output (padded so h4%4==0)
  h4=(h%4==0) ? h : h-(h%4)+4; s=d*h4*sizeof(float);

  M2=(float*) alMalloc(s,16);
  Gx=(float*) alMalloc(s,16); 
  Gy=(float*) alMalloc(s,16); 
  float m;

  // compute gradient magnitude and orientation for each column
  for( x=0; x<w; x++ ) {
  // compute gradients (Gx, Gy) and squared magnitude (M2) for each channel
  for( c=0; c<d; c++ ) grad1( I+x*h+c*w*h, Gx+c*h4, Gy+c*h4, h, w, x );
  for( y=0; y<d*h4; y++ ) 
  {
    M2[y] = Gx[y] * Gx[y] + Gy[y] * Gy[y];
  }  
  
  // store gradients with maximum response in the first channel
  for(c=1; c<d; c++) 
  {
  for( y=0; y<h4/4; y++ ) 
    {
      y1=h4/4*c+y; 

    for (int ii = 0; ii < 4; ++ii)
    {
      if (M2[y1 * 4 + ii] > M2[y * 4 + ii])
      {
        M2[y * 4 + ii] = M2[y1 * 4 + ii];
        Gx[y * 4 + ii] = Gx[y1 * 4 + ii];
        Gy[y * 4 + ii] = Gy[y1 * 4 + ii];
      }
    }
    }
  }
  // compute gradient magnitude (M) and normalize Gx
  for( y=0; y<h4; y++ ) 
  {
  m = 1.0f/sqrtf(M2[y]);
  m = m < 1e10f ? m : 1e10f;
    M2[y] = 1.0f / m;
    Gx[y] = ((Gx[y] * m) * acMult);
    if (Gy[y] < 0)
    Gx[y] = -Gx[y];
  }
  
  memcpy( M+x*h, M2, h*sizeof(float) );
  // compute and store gradient orientation (O) via table lookup
  if(O!=0) for( y=0; y<h; y++ ) O[x*h+y] = acost[(int)Gx[y]];
  }
  alFree(Gx); alFree(Gy); alFree(M2);
#endif  
}