Hi,
I am implementing real time computer vision application using X10, to figure
out X10 can help in computationally intensive streaming applications.
At this point, I am trying to use existing C++ library's I/O functions since
they can read lots of different formats, including avi and jpeg.
While implementing, I found that copying each pixel in image from C to X10
introduces significant overhead. Essentially, this is what I'm doing :
X10
class X10Image
{
public val width : Int;
public val height : Int;
public val channel : Int;
public val img : Array[Int];
....
}
class Main
{
public static def main (Array[String])
{
val I : X10Image = null;
val fn : String = "test.avi";
{ @Native("c++","I = load_x10img(fn->c_str());") {} }
.....
}
}
C++
x10aux::ref<X10Image> load_x10img(const char* fn)
{
IplImage* pImg = cvLoadImage(fn);
uchar* data = (uchar *)pImg->imageData;
x10aux::ref<X10Image> x10Img = X10Image::_make(pImg->width,
pImg->height, pImg->nChannels);
for(int y=0;y<pImg->height;y++)
for(int x=0;x<pImg->width;x++)
for(int c=0;c<pImg->nChannels;c++)
x10Img->FMGL(img)->set(data[y*step+x*channels+c], x, y, c);
cvReleaseImage(&pImg);
return x10Img;
}
Here I instantiate X10 data structure in C++ using _make and copy each pixel
of image data structure to X10 image data structure.
Is there any way to do this more efficiently? For example, can I copy array
in bulk? Or can I even set the C++ array as X10 Array's backing storage?
Thanks,
Kirak
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