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added cv::calcBackProject for 2-dimensional histograms

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This commit is contained in:
Ilya Lavrenov 2013-12-26 16:17:06 +04:00
parent d64bea00b2
commit b23edc34e9
3 changed files with 71 additions and 62 deletions
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54
modules/imgproc/src/histogram.cpp
View File

@ -1942,7 +1942,7 @@ static void getUMatIndex(const std::vector<UMat> & um, int cn, int & idx, int &
if (totalChannels >= cn)
{
idx = i;
idx = (int)i;
cnidx = i == 0 ? cn : cn % (totalChannels - ccn);
return;
}
@ -1966,7 +1966,7 @@ static bool ocl_calcBackProject( InputArrayOfArrays _images, std::vector<int> ch
for (size_t i = 1; i < nimages; ++i)
{
const UMat & m = images[i];
totalcn *= m.channels();
totalcn += m.channels();
CV_Assert(size == m.size() && depth == m.depth());
}
@ -1981,7 +1981,7 @@ static bool ocl_calcBackProject( InputArrayOfArrays _images, std::vector<int> ch
CV_Assert(idx >= 0);
UMat im = images[idx];
String opts = format("-D histdims=1 -D scn=%d", im.channels(), cnidx);
String opts = format("-D histdims=1 -D scn=%d", im.channels());
ocl::Kernel lutk("calcLUT", ocl::imgproc::calc_back_project_oclsrc, opts);
if (lutk.empty())
return false;
@ -2013,28 +2013,47 @@ static bool ocl_calcBackProject( InputArrayOfArrays _images, std::vector<int> ch
int idx0, idx1, cnidx0, cnidx1;
getUMatIndex(images, channels[0], idx0, cnidx0);
getUMatIndex(images, channels[1], idx1, cnidx1);
printf("%d) channels = %d, indx = %d, cnidx = %d\n", images[0].channels(), channels[0], idx0, cnidx0);
printf("%d) channels = %d, indx = %d, cnidx = %d\n", images[1].channels(), channels[1], idx1, cnidx1);
CV_Assert(idx0 >= 0 && idx1 >= 0);
UMat im0 = images[idx0], im1 = images[idx1];
String opts = format("-D histdims=2 -D scn0=%d -D scn1=%d",
im0.channels(), im1.channels());
ocl::Kernel k("calcBackProject", ocl::imgproc::calc_back_project_oclsrc, opts);
if (k.empty())
// Lut for the first dimension
String opts = format("-D histdims=2 -D scn1=%d -D scn2=%d", im0.channels(), im1.channels());
ocl::Kernel lutk1("calcLUT", ocl::imgproc::calc_back_project_oclsrc, opts);
if (lutk1.empty())
return false;
size_t lsize = 256;
UMat lut(1, (int)lsize<<1, CV_32SC1), uranges(ranges, true), hist = _hist.getUMat();
lutk1.args(hist.rows, ocl::KernelArg::PtrWriteOnly(lut), (int)0, ocl::KernelArg::PtrReadOnly(uranges), (int)0);
if (!lutk1.run(1, &lsize, NULL, false))
return false;
// lut for the second dimension
ocl::Kernel lutk2("calcLUT", ocl::imgproc::calc_back_project_oclsrc, opts);
if (lutk2.empty())
return false;
lut.offset += lsize * sizeof(int);
lutk2.args(hist.cols, ocl::KernelArg::PtrWriteOnly(lut), (int)256, ocl::KernelArg::PtrReadOnly(uranges), (int)2);
if (!lutk2.run(1, &lsize, NULL, false))
return false;
// perform lut
ocl::Kernel mapk("LUT", ocl::imgproc::calc_back_project_oclsrc, opts);
if (mapk.empty())
return false;
_dst.create(size, depth);
UMat dst = _dst.getUMat(), hist = _hist.getUMat(), uranges(ranges, true);
UMat dst = _dst.getUMat();
im0.offset += cnidx0;
im1.offset += cnidx1;
k.args(ocl::KernelArg::ReadOnlyNoSize(im0), ocl::KernelArg::ReadOnlyNoSize(im1),
ocl::KernelArg::ReadOnly(hist), ocl::KernelArg::WriteOnly(dst), scale,
ocl::KernelArg::PtrReadOnly(uranges));
mapk.args(ocl::KernelArg::ReadOnlyNoSize(im0), ocl::KernelArg::ReadOnlyNoSize(im1),
ocl::KernelArg::ReadOnlyNoSize(hist), ocl::KernelArg::PtrReadOnly(lut), scale, ocl::KernelArg::WriteOnly(dst));
size_t globalsize[2] = { size.width, size.height };
return k.run(2, globalsize, NULL, false);
return mapk.run(2, globalsize, NULL, false);
}
return false;
}
@ -2051,12 +2070,9 @@ void cv::calcBackProject( InputArrayOfArrays images, const std::vector<int>& cha
size_t histdims = _1D ? 1 : hist.dims();
if (ocl::useOpenCL() && images.isUMatVector() && dst.isUMat() && hist.type() == CV_32FC1 &&
histdims <= 2 && ranges.size() == histdims * 2 && histdims == channels.size() /*&&
ocl_calcBackProject(images, channels, hist, dst, ranges, scale)*/)
{
CV_Assert(ocl_calcBackProject(images, channels, hist, dst, ranges, (float)scale, histdims));
histdims <= 2 && ranges.size() == histdims * 2 && histdims == channels.size() &&
ocl_calcBackProject(images, channels, hist, dst, ranges, (float)scale, histdims))
return;
}
Mat H0 = hist.getMat(), H;
int hcn = H0.channels();

70
modules/imgproc/src/opencl/calc_back_project.cl
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@ -37,10 +37,10 @@
//
//
#if histdims == 1
#define OUT_OF_RANGE -1
#if histdims == 1
__kernel void calcLUT(__global const uchar * histptr, int hist_step, int hist_offset, int hist_bins,
__global int * lut, float scale, __constant float * ranges)
{
@ -68,7 +68,7 @@ __kernel void calcLUT(__global const uchar * histptr, int hist_step, int hist_of
}
__kernel void LUT(__global const uchar * src, int src_step, int src_offset,
__global const int * lut,
__constant int * lut,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols)
{
int x = get_global_id(0);
@ -86,45 +86,47 @@ __kernel void LUT(__global const uchar * src, int src_step, int src_offset,
#elif histdims == 2
#define OUT_OF_RANGES(i) ( (value##i > ranges[(i<<1)+1]) || (value##i < ranges[i<<1]) )
#define CALCULATE_BIN(i) \
float lb##i = ranges[i<<1], ub##i = ranges[(i<<1)+1], gap##i = (ub##i - lb##i) / hist_bins##i; \
value##i -= ranges[i<<1]; \
int bin##i = convert_int_sat_rtn(value##i / gap##i)
__kernel void calcLUT(int hist_bins, __global int * lut, int lut_offset,
__constant float * ranges, int roffset)
{
int x = get_global_id(0);
float value = convert_float(x);
__kernel void calcBackProject(__global const uchar * src0, int src0_step, int src0_offset,
__global const uchar * src1, int src1_step, int src1_offset,
__global const uchar * histptr, int hist_step, int hist_offset, int hist_bins0, int hist_bins1,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
float scale, __constant float * ranges)
ranges += roffset;
lut += lut_offset;
if (value > ranges[1] || value < ranges[0])
lut[x] = OUT_OF_RANGE;
else
{
float lb = ranges[0], ub = ranges[1], gap = (ub - lb) / hist_bins;
value -= lb;
int bin = convert_int_sat_rtn(value / gap);
lut[x] = bin >= hist_bins ? OUT_OF_RANGE : bin;
}
}
__kernel void LUT(__global const uchar * src1, int src1_step, int src1_offset,
__global const uchar * src2, int src2_step, int src2_offset,
__global const uchar * histptr, int hist_step, int hist_offset,
__constant int * lut, float scale,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols)
{
int x = get_global_id(0);
int y = get_global_id(1);
if (x < dst_cols && y < dst_rows)
{
int src0_index = mad24(src0_step, y, src0_offset + x * scn0);
int src1_index = mad24(src1_step, y, src1_offset + x * scn1);
int dst_index = mad24(dst_step, y, dst_offset + x);
int src1_index = mad24(y, src1_step, src1_offset + x * scn1);
int src2_index = mad24(y, src2_step, src2_offset + x * scn2);
int dst_index = mad24(y, dst_step, dst_offset + x);
float value0 = convert_float(src0[src0_index]), value1 = convert_float(src1[src1_index]);
if (OUT_OF_RANGES(0) || OUT_OF_RANGES(1))
dst[dst_index] = 0;
else
{
CALCULATE_BIN(0);
CALCULATE_BIN(1);
if (bin0 >= hist_bins0 || bin1 >= hist_bins1)
dst[dst_index] = 0;
else
{
int hist_index = mad24(hist_step, bin0, hist_offset + bin1 * (int)sizeof(float));
__global const float * hist = (__global const float *)(histptr + hist_index);
dst[dst_index] = convert_uchar_sat_rte(scale * hist[0]);
}
}
int bin1 = lut[src1[src1_index]];
int bin2 = lut[src2[src2_index] + 256];
dst[dst_index] = bin1 == OUT_OF_RANGE || bin2 == OUT_OF_RANGE ? 0 :
convert_uchar_sat_rte(*(__global const float *)(histptr +
mad24(hist_step, bin1, hist_offset + bin2 * (int)sizeof(float))) * scale);
}
}

9
modules/imgproc/test/ocl/test_histogram.cpp
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@ -147,15 +147,6 @@ PARAM_TEST_CASE(CalcBackProject, MatDepth, int, bool)
void Near()
{
// std::cout << "Src: " << std::endl << src_roi[0] << std::endl;
// std::cout << "Hist: " << std::endl << hist_roi << std::endl;
std::cout << "OpenCV: " << std::endl << dst_roi << std::endl;
std::cout << "OpenCL: " << std::endl << udst_roi.getMat(ACCESS_READ) << std::endl;
Mat diff;
cv::absdiff(dst_roi, udst_roi, diff);
std::cout << "Difference: " << std::endl << diff << std::endl;
OCL_EXPECT_MATS_NEAR(dst, 0.0)
}
};