Hi
I'm trying to use code for an encoder from a project I found on CodeGuru, but I'm not sure how to use it. This is the first method I need to use:
//
// Convert from RGB24 to YUV420
//
int ConvertRGB2YUV(int w,int h,unsigned char *bmp,unsigned int *yuv)
{
unsigned int *u,*v,*y,*uu,*vv;
unsigned int *pu1,*pu2,*pu3,*pu4;
unsigned int *pv1,*pv2,*pv3,*pv4;
unsigned char *r,*g,*b;
int i,j;
uu=new unsigned int[w*h];
vv=new unsigned int[w*h];
if(uu==NULL || vv==NULL)
return 0;
y=yuv;
u=uu;
v=vv;
// Get r,g,b pointers from bmp image data....
r=bmp;
g=bmp+1;
b=bmp+2;
//Get YUV values for rgb values...
for(i=0;i<h;i++)
{
for(j=0;j<w;j++)
{
*y++=( RGB2YUV_YR[*r] +RGB2YUV_YG[*g]+RGB2YUV_YB[*b]+1048576)>>16;
*u++=(-RGB2YUV_UR[*r] -RGB2YUV_UG[*g]+RGB2YUV_UBVR[*b]+8388608)>>16;
*v++=( RGB2YUV_UBVR[*r]-RGB2YUV_VG[*g]-RGB2YUV_VB[*b]+8388608)>>16;
r+=3;
g+=3;
b+=3;
}
}
// Now sample the U & V to obtain YUV 4:2:0 format
// Sampling mechanism...
/* @ -> Y
# -> U or V
@ @ @ @
# #
@ @ @ @
@ @ @ @
# #
@ @ @ @
*/
// Get the right pointers...
u=yuv+w*h;
v=u+(w*h)/4;
// For U
pu1=uu;
pu2=pu1+1;
pu3=pu1+w;
pu4=pu3+1;
// For V
pv1=vv;
pv2=pv1+1;
pv3=pv1+w;
pv4=pv3+1;
// Do sampling....
for(i=0;i<h;i+=2)
{
for(j=0;j<w;j+=2)
{
*u++=(*pu1+*pu2+*pu3+*pu4)>>2;
*v++=(*pv1+*pv2+*pv3+*pv4)>>2;
pu1+=2;
pu2+=2;
pu3+=2;
pu4+=2;
pv1+=2;
pv2+=2;
pv3+=2;
pv4+=2;
}
pu1+=w;
pu2+=w;
pu3+=w;
pu4+=w;
pv1+=w;
pv2+=w;
pv3+=w;
pv4+=w;
}
delete uu;
delete vv;
return 1;
}
//
// Convert from RGB24 to YUV420
//
int ConvertRGB2YUV(int w,int h,unsigned char *bmp,unsigned int *yuv)
{
unsigned int *u,*v,*y,*uu,*vv;
unsigned int *pu1,*pu2,*pu3,*pu4;
unsigned int *pv1,*pv2,*pv3,*pv4;
unsigned char *r,*g,*b;
int i,j;
uu=new unsigned int[w*h];
vv=new unsigned int[w*h];
if(uu==NULL || vv==NULL)
return 0;
y=yuv;
u=uu;
v=vv;
// Get r,g,b pointers from bmp image data....
r=bmp;
g=bmp+1;
b=bmp+2;
//Get YUV values for rgb values...
for(i=0;i<h;i++)
{
for(j=0;j<w;j++)
{
*y++=( RGB2YUV_YR[*r] +RGB2YUV_YG[*g]+RGB2YUV_YB[*b]+1048576)>>16;
*u++=(-RGB2YUV_UR[*r] -RGB2YUV_UG[*g]+RGB2YUV_UBVR[*b]+8388608)>>16;
*v++=( RGB2YUV_UBVR[*r]-RGB2YUV_VG[*g]-RGB2YUV_VB[*b]+8388608)>>16;
r+=3;
g+=3;
b+=3;
}
}
// Now sample the U & V to obtain YUV 4:2:0 format
// Sampling mechanism...
/* @ -> Y
# -> U or V
@ @ @ @
# #
@ @ @ @
@ @ @ @
# #
@ @ @ @
*/
// Get the right pointers...
u=yuv+w*h;
v=u+(w*h)/4;
// For U
pu1=uu;
pu2=pu1+1;
pu3=pu1+w;
pu4=pu3+1;
// For V
pv1=vv;
pv2=pv1+1;
pv3=pv1+w;
pv4=pv3+1;
// Do sampling....
for(i=0;i<h;i+=2)
{
for(j=0;j<w;j+=2)
{
*u++=(*pu1+*pu2+*pu3+*pu4)>>2;
*v++=(*pv1+*pv2+*pv3+*pv4)>>2;
pu1+=2;
pu2+=2;
pu3+=2;
pu4+=2;
pv1+=2;
pv2+=2;
pv3+=2;
pv4+=2;
}
pu1+=w;
pu2+=w;
pu3+=w;
pu4+=w;
pv1+=w;
pv2+=w;
pv3+=w;
pv4+=w;
}
delete uu;
delete vv;
return 1;
}
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Now, my input will be bmp, which is an unsigned char. The image I have is a IplImage, which has this structure:
// IPL image header
typedef struct _IplImage
{
int nSize; /* sizeof(IplImage) */
int ID; /* version (=0)*/
int nChannels; /* Most of OpenCV functions support 1,2,3 or 4 channels */
int alphaChannel; /* ignored by OpenCV */
int depth; /* pixel depth in bits: IPL_DEPTH_8U, IPL_DEPTH_8S, IPL_DEPTH_16S,
IPL_DEPTH_32S, IPL_DEPTH_32F and IPL_DEPTH_64F are supported */
char colorModel[4]; /* ignored by OpenCV */
char channelSeq[4]; /* ditto */
int dataOrder; /* 0 - interleaved color channels, 1 - separate color channels.
cvCreateImage can only create interleaved images */
int origin; /* 0 - top-left origin,
1 - bottom-left origin (Windows bitmaps style) */
int align; /* Alignment of image rows (4 or 8).
OpenCV ignores it and uses widthStep instead */
int width; /* image width in pixels */
int height; /* image height in pixels */
struct _IplROI *roi;/* image ROI. when it is not NULL, this specifies image region to process */
struct _IplImage *maskROI; /* must be NULL in OpenCV */
void *imageId; /* ditto */
struct _IplTileInfo *tileInfo; /* ditto */
int imageSize; /* image data size in bytes
(=image->height*image->widthStep
in case of interleaved data)*/
char *imageData; /* pointer to aligned image data */
int widthStep; /* size of aligned image row in bytes */
int BorderMode[4]; /* border completion mode, ignored by OpenCV */
int BorderConst[4]; /* ditto */
char *imageDataOrigin; /* pointer to a very origin of image data
(not necessarily aligned) -
it is needed for correct image deallocation */
}
// IPL image header
typedef struct _IplImage
{
int nSize; /* sizeof(IplImage) */
int ID; /* version (=0)*/
int nChannels; /* Most of OpenCV functions support 1,2,3 or 4 channels */
int alphaChannel; /* ignored by OpenCV */
int depth; /* pixel depth in bits: IPL_DEPTH_8U, IPL_DEPTH_8S, IPL_DEPTH_16S,
IPL_DEPTH_32S, IPL_DEPTH_32F and IPL_DEPTH_64F are supported */
char colorModel[4]; /* ignored by OpenCV */
char channelSeq[4]; /* ditto */
int dataOrder; /* 0 - interleaved color channels, 1 - separate color channels.
cvCreateImage can only create interleaved images */
int origin; /* 0 - top-left origin,
1 - bottom-left origin (Windows bitmaps style) */
int align; /* Alignment of image rows (4 or 8).
OpenCV ignores it and uses widthStep instead */
int width; /* image width in pixels */
int height; /* image height in pixels */
struct _IplROI *roi;/* image ROI. when it is not NULL, this specifies image region to process */
struct _IplImage *maskROI; /* must be NULL in OpenCV */
void *imageId; /* ditto */
struct _IplTileInfo *tileInfo; /* ditto */
int imageSize; /* image data size in bytes
(=image->height*image->widthStep
in case of interleaved data)*/
char *imageData; /* pointer to aligned image data */
int widthStep; /* size of aligned image row in bytes */
int BorderMode[4]; /* border completion mode, ignored by OpenCV */
int BorderConst[4]; /* ditto */
char *imageDataOrigin; /* pointer to a very origin of image data
(not necessarily aligned) -
it is needed for correct image deallocation */
}
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On the other side, I have an IplImage to DIB conversor, like this:
HBITMAP IplImageWidget::IplImage2DIB(const IplImage* Image){
int bpp = Image->nChannels * 8;
assert(Image->width >= 0 && Image->height >= 0 && (bpp == 8 || bpp == 24 || bpp == 32));
CvMat dst;
void* dst_ptr = 0;
HBITMAP hbmp = NULL;
unsigned char buffer[sizeof(BITMAPINFO) + 255*sizeof(RGBQUAD)];
BITMAPINFO* bmi = (BITMAPINFO*)buffer;
BITMAPINFOHEADER* bmih = &(bmi->bmiHeader);
ZeroMemory(bmih, sizeof(BITMAPINFOHEADER));
bmih->biSize = sizeof(BITMAPINFOHEADER);
bmih->biWidth = Image->width;
bmih->biHeight = Image->origin ? abs(Image->height) : -abs(Image->height);
bmih->biPlanes = 1;
bmih->biBitCount = bpp;
bmih->biCompression = BI_RGB;
if (bpp == 8) {
RGBQUAD* palette = bmi->bmiColors;
int i;
for (i = 0; i < 256; i++) {
palette[i].rgbRed = palette[i].rgbGreen = palette[i].rgbBlue = (BYTE)i;
palette[i].rgbReserved = 0;
}
}
hbmp = CreateDIBSection(NULL, bmi, DIB_RGB_COLORS, &dst_ptr, 0, 0);
cvInitMatHeader(&dst, Image->height, Image->width, CV_8UC3,
dst_ptr, (Image->width * Image->nChannels + 3) & -4);
cvConvertImage(Image, &dst, Image->origin ? CV_CVTIMG_FLIP : 0);
return hbmp;
}
HBITMAP IplImageWidget::IplImage2DIB(const IplImage* Image){
int bpp = Image->nChannels * 8;
assert(Image->width >= 0 && Image->height >= 0 && (bpp == 8 || bpp == 24 || bpp == 32));
CvMat dst;
void* dst_ptr = 0;
HBITMAP hbmp = NULL;
unsigned char buffer[sizeof(BITMAPINFO) + 255*sizeof(RGBQUAD)];
BITMAPINFO* bmi = (BITMAPINFO*)buffer;
BITMAPINFOHEADER* bmih = &(bmi->bmiHeader);
ZeroMemory(bmih, sizeof(BITMAPINFOHEADER));
bmih->biSize = sizeof(BITMAPINFOHEADER);
bmih->biWidth = Image->width;
bmih->biHeight = Image->origin ? abs(Image->height) : -abs(Image->height);
bmih->biPlanes = 1;
bmih->biBitCount = bpp;
bmih->biCompression = BI_RGB;
if (bpp == 8) {
RGBQUAD* palette = bmi->bmiColors;
int i;
for (i = 0; i < 256; i++) {
palette[i].rgbRed = palette[i].rgbGreen = palette[i].rgbBlue = (BYTE)i;
palette[i].rgbReserved = 0;
}
}
hbmp = CreateDIBSection(NULL, bmi, DIB_RGB_COLORS, &dst_ptr, 0, 0);
cvInitMatHeader(&dst, Image->height, Image->width, CV_8UC3,
dst_ptr, (Image->width * Image->nChannels + 3) & -4);
cvConvertImage(Image, &dst, Image->origin ? CV_CVTIMG_FLIP : 0);
return hbmp;
}
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So, coming from the IplImage or the DIB, what can I use so that I get something that works with ConvertRGB2YUV?
Thanks
Help needed handling image data
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