Esempio n. 1
0
File: lcairo.c Progetto: elq/torch5
static int lcairo_THTensor_to_surface( lua_State *L){
  THTensor     *Tsrc = luaT_checkudata(L,1,torch_Tensor_id);
  unsigned char *dst = luaT_checkudata(L,2,tSurfaceData_id);
  if ( Tsrc->nDimension==3 ){
    _T3_to_surface( THTensor_dataPtr(Tsrc), dst,
                     Tsrc->stride[0], Tsrc->stride[1], Tsrc->stride[2],
                       Tsrc->size[0],   Tsrc->size[1],   Tsrc->size[2]  );

  }else if (Tsrc->nDimension==2 ){
    _T2_to_surface( THTensor_dataPtr(Tsrc), dst,
                     Tsrc->stride[0], Tsrc->stride[1],
                       Tsrc->size[0],   Tsrc->size[1]  );
  }else{
    luaL_error(L,"nDimension not 2 or 3");
  }
  return 1;
}
Esempio n. 2
0
File: lcairo.c Progetto: elq/torch5
static int lcairo_surface_to_THTensor( lua_State *L ){

  unsigned char *src = luaT_checkudata(L,1,tSurfaceData_id);
  THTensor     *Tdst = luaT_checkudata(L,2,torch_Tensor_id);
  if ( Tdst->nDimension==3 ){
    _surface_to_T3( src,THTensor_dataPtr(Tdst), 
                     Tdst->stride[0], Tdst->stride[1], Tdst->stride[2],
                       Tdst->size[0],   Tdst->size[1],   Tdst->size[2]  );

  }else if (Tdst->nDimension==2 ){
    _surface_to_T2( src, THTensor_dataPtr(Tdst),
                     Tdst->stride[0], Tdst->stride[1],
                       Tdst->size[0],   Tdst->size[1]  );
  }else{
    luaL_error(L,"nDimension not 2 or 3");
  }

  return 1;
}
Esempio n. 3
0
static int
qttorch_qimage_totensor(lua_State *L)
{
  THTensor *Tdst = 0;
  QImage image = luaQ_checkqvariant<QImage>(L, 1);
  int width = image.width();
  int height = image.height();
  int depth = 1;
  int tpos = 0;
  // validate arguments
  if (lua_type(L, 2) == LUA_TUSERDATA)
    {
      tpos = 2;
      Tdst = (THTensor*)luaT_checkudata(L,2,torch_Tensor_id);
      if (Tdst->nDimension == 3)
        depth = Tdst->size[2];
      else if (Tdst->nDimension != 2)
        luaL_error(L, "tensor must have 2 or 3 dimensions");
      if (depth != 1 && depth != 3 && depth != 4)
        luaL_error(L, "tensor third dimension must be 1, 3, or 4.");
      if (width != Tdst->size[0] || height != Tdst->size[1])
        luaL_error(L, "tensor dimensions must match the image size.");
    }
  else
    {
      depth = luaL_optinteger(L, 2, 3);
      if (depth != 1 && depth != 3 && depth != 4)
        luaL_error(L, "depth must be 1, 3, or 4.");
      if (depth == 1)
        Tdst = THTensor_newWithSize2d(width, height);
      else
        Tdst = THTensor_newWithSize3d(width, height, depth);
    }
  // convert image
  if (image.format() != QImage::Format_ARGB32)
    image = image.convertToFormat(QImage::Format_ARGB32);
  if (image.format() != QImage::Format_ARGB32)
    luaL_error(L, "Cannot convert image to format ARGB32");
  // fill tensor
  long s0 = Tdst->stride[0];
  long s1 = Tdst->stride[1];
  long s2 = (depth > 1) ? Tdst->stride[2] : 0;
  double *tdata = THTensor_dataPtr(Tdst);
  for(int j=0; j<height; j++) 
    {
      QRgb *ip = (QRgb*)image.scanLine(j);
      double *tp = tdata + s1 * j;
      if (depth == 1)
        {
          for (int i=0; i<width; i++)
            {
              QRgb v = ip[i];
              tp[0] = (qreal)qGray(v) / 255.0;
              tp += s0;
            }
        }
      else if (depth == 3)
        {
          for (int i=0; i<width; i++)
            {
              QRgb v = ip[i];
              tp[0] = (qreal)qRed(v) / 255.0;
              tp[s2] = (qreal)qGreen(v) / 255.0;
              tp[s2+s2] = (qreal)qBlue(v) / 255.0;
              tp += s0;
            }
        }
      else if (depth == 4)
        {
          for (int i=0; i<width; i++)
            {
              QRgb v = ip[i];
              tp[0] = (qreal)qRed(v) / 255.0;
              tp[s2] = (qreal)qGreen(v) / 255.0;
              tp[s2+s2] = (qreal)qBlue(v) / 255.0;
              tp[s2+s2+s2] = (qreal)qAlpha(v) / 255.0;
              tp += s0;
            }
        }
    }
  // return
  if (tpos > 0)
    lua_pushvalue(L, tpos);
  else
    luaT_pushudata(L, (void*)Tdst, torch_Tensor_id);
  return 1;
}
Esempio n. 4
0
static int
qttorch_qimage_fromtensor_inplace(lua_State *L)
{
  THTensor *Tsrc = (THTensor*)luaT_checkudata(L,1,torch_Tensor_id);
  long depth = 1;
  if ( Tsrc->nDimension == 3)
    depth = Tsrc->size[2];
  else if (Tsrc->nDimension != 2)
    luaL_error(L, "tensor must have 2 or 3 dimensions");
  if (depth != 1 && depth != 3 && depth != 4)
    luaL_error(L, "tensor third dimension must be 1, 3, or 4.");
  // create image
  if (Tsrc->size[0] >= INT_MAX || Tsrc->size[1] >= INT_MAX)
    luaL_error(L, "image is too large");
  int width = (int)(Tsrc->size[0]);
  int height = (int)(Tsrc->size[1]);
  // get optional img as argument
  QVariant * vp = luaQ_toqvariantp(L, 2);
  if (vp->userType() != QMetaType::QImage) luaL_error(L, "arg 2 should be QImage");
  QImage image = qVariantValue<QImage>(*vp);
  // fill image
  long s0 = Tsrc->stride[0];
  long s1 = Tsrc->stride[1];
  long s2 = (depth > 1) ? Tsrc->stride[2] : 0;
  double *tdata = THTensor_dataPtr(Tsrc);
  for(int j=0; j<height; j++) 
    {
      QRgb *ip = (QRgb*)image.scanLine(j);
      double *tp = tdata + s1 * j;
      if (depth == 1)
        {
          for (int i=0; i<width; i++)
            {
              int g = (int)(tp[0] * 255.0) & 0xff;
              tp += s0;
              ip[i] = qRgb(g,g,g);
            }
        }
      else if (depth == 3)
        {
          for (int i=0; i<width; i++)
            {
              int r = (int)(tp[0] * 255.0) & 0xff;
              int g = (int)(tp[s2] * 255.0) & 0xff;
              int b = (int)(tp[s2+s2] * 255.0) & 0xff;
              tp += s0;
              ip[i] = qRgb(r,g,b);
            }
        }
      else if (depth == 4)
        {
          for (int i=0; i<width; i++)
            {
              int a = (int)(tp[s2+s2+s2] * 255.0) & 0xff;
              int r = (int)(tp[0] * a) & 0xff;
              int g = (int)(tp[s2] * a) & 0xff;
              int b = (int)(tp[s2+s2] * a) & 0xff;
              tp += s0;
              ip[i] = qRgba(r,g,b,a);
            }
        }
    }
  // set value
  vp->setValue(image);
  return 0;
}
Esempio n. 5
0
static int
qttorch_qimage_fromtensor(lua_State *L)
{
  THTensor *Tsrc = (THTensor*)luaT_checkudata(L,1,torch_Tensor_id);
  long depth = 1;
  if ( Tsrc->nDimension == 3)
    depth = Tsrc->size[2];
  else if (Tsrc->nDimension != 2)
    luaL_error(L, "tensor must have 2 or 3 dimensions");
  if (depth != 1 && depth != 3 && depth != 4)
    luaL_error(L, "tensor third dimension must be 1, 3, or 4.");
  // create image
  if (Tsrc->size[0] >= INT_MAX || Tsrc->size[1] >= INT_MAX)
    luaL_error(L, "image is too large");
  int width = (int)(Tsrc->size[0]);
  int height = (int)(Tsrc->size[1]);
  QImage image(width, height, QImage::Format_ARGB32_Premultiplied);
  // fill image
  long s0 = Tsrc->stride[0];
  long s1 = Tsrc->stride[1];
  long s2 = (depth > 1) ? Tsrc->stride[2] : 0;
  double *tdata = THTensor_dataPtr(Tsrc);
  for(int j=0; j<height; j++) 
    {
      QRgb *ip = (QRgb*)image.scanLine(j);
      double *tp = tdata + s1 * j;
      if (depth == 1)
        {
          for (int i=0; i<width; i++)
            {
              int g = (int)(tp[0] * 255.0) & 0xff;
              tp += s0;
              ip[i] = qRgb(g,g,g);
            }
        }
      else if (depth == 3)
        {
          for (int i=0; i<width; i++)
            {
              int r = (int)(tp[0] * 255.0) & 0xff;
              int g = (int)(tp[s2] * 255.0) & 0xff;
              int b = (int)(tp[s2+s2] * 255.0) & 0xff;
              tp += s0;
              ip[i] = qRgb(r,g,b);
            }
        }
      else if (depth == 4)
        {
          for (int i=0; i<width; i++)
            {
              int a = (int)(tp[s2+s2+s2] * 255.0) & 0xff;
              int r = (int)(tp[0] * a) & 0xff;
              int g = (int)(tp[s2] * a) & 0xff;
              int b = (int)(tp[s2+s2] * a) & 0xff;
              tp += s0;
              ip[i] = qRgba(r,g,b,a);
            }
        }
    }
  // return
  luaQ_pushqt(L, image);
  return 1;
}