Hu Chunming / vpt_ascend

// This file is auto-generated. Do not edit!

#include "opencv2/core.hpp"
#include "cvconfig.h"
#include "opencl_kernels_objdetect.hpp"

#ifdef HAVE_OPENCL

namespace cv
{
namespace ocl
{
namespace objdetect
{

static const char* const moduleName = "objdetect";

struct cv::ocl::internal::ProgramEntry cascadedetect_oclsrc={moduleName, "cascadedetect",
"#ifdef HAAR\n"
"typedef struct __attribute__((aligned(4))) OptHaarFeature\n"
"{\n"
"int4 ofs[3] __attribute__((aligned (4)));\n"
"float4 weight __attribute__((aligned (4)));\n"
"}\n"
"OptHaarFeature;\n"
"#endif\n"
"#ifdef LBP\n"
"typedef struct __attribute__((aligned(4))) OptLBPFeature\n"
"{\n"
"int16 ofs __attribute__((aligned (4)));\n"
"}\n"
"OptLBPFeature;\n"
"#endif\n"
"typedef struct __attribute__((aligned(4))) Stump\n"
"{\n"
"float4 st __attribute__((aligned (4)));\n"
"}\n"
"Stump;\n"
"typedef struct __attribute__((aligned(4))) Node\n"
"{\n"
"int4 n __attribute__((aligned (4)));\n"
"}\n"
"Node;\n"
"typedef struct __attribute__((aligned (4))) Stage\n"
"{\n"
"int first __attribute__((aligned (4)));\n"
"int ntrees __attribute__((aligned (4)));\n"
"float threshold __attribute__((aligned (4)));\n"
"}\n"
"Stage;\n"
"typedef struct __attribute__((aligned (4))) ScaleData\n"
"{\n"
"float scale __attribute__((aligned (4)));\n"
"int szi_width __attribute__((aligned (4)));\n"
"int szi_height __attribute__((aligned (4)));\n"
"int layer_ofs __attribute__((aligned (4)));\n"
"int ystep __attribute__((aligned (4)));\n"
"}\n"
"ScaleData;\n"
"#ifndef SUM_BUF_SIZE\n"
"#define SUM_BUF_SIZE 0\n"
"#endif\n"
"#ifndef NODE_COUNT\n"
"#define NODE_COUNT 1\n"
"#endif\n"
"#ifdef HAAR\n"
"__kernel __attribute__((reqd_work_group_size(LOCAL_SIZE_X,LOCAL_SIZE_Y,1)))\n"
"void runHaarClassifier(\n"
"int nscales, __global const ScaleData* scaleData,\n"
"__global const int* sum,\n"
"int _sumstep, int sumoffset,\n"
"__global const OptHaarFeature* optfeatures,\n"
"__global const Stage* stages,\n"
"__global const Node* nodes,\n"
"__global const float* leaves0,\n"
"volatile __global int* facepos,\n"
"int4 normrect, int sqofs, int2 windowsize)\n"
"{\n"
"int lx = get_local_id(0);\n"
"int ly = get_local_id(1);\n"
"int groupIdx = get_group_id(0);\n"
"int i, ngroups = get_global_size(0)/LOCAL_SIZE_X;\n"
"int scaleIdx, tileIdx, stageIdx;\n"
"int sumstep = (int)(_sumstep/sizeof(int));\n"
"int4 nofs0 = (int4)(mad24(normrect.y, sumstep, normrect.x),\n"
"mad24(normrect.y, sumstep, normrect.x + normrect.z),\n"
"mad24(normrect.y + normrect.w, sumstep, normrect.x),\n"
"mad24(normrect.y + normrect.w, sumstep, normrect.x + normrect.z));\n"
"int normarea = normrect.z * normrect.w;\n"
"float invarea = 1.f/normarea;\n"
"int lidx = ly*LOCAL_SIZE_X + lx;\n"
"#if SUM_BUF_SIZE > 0\n"
"int4 nofs = (int4)(mad24(normrect.y, SUM_BUF_STEP, normrect.x),\n"
"mad24(normrect.y, SUM_BUF_STEP, normrect.x + normrect.z),\n"
"mad24(normrect.y + normrect.w, SUM_BUF_STEP, normrect.x),\n"
"mad24(normrect.y + normrect.w, SUM_BUF_STEP, normrect.x + normrect.z));\n"
"#else\n"
"int4 nofs = nofs0;\n"
"#endif\n"
"#define LOCAL_SIZE (LOCAL_SIZE_X*LOCAL_SIZE_Y)\n"
"__local int lstore[SUM_BUF_SIZE + LOCAL_SIZE*5/2+1];\n"
"#if SUM_BUF_SIZE > 0\n"
"__local int* ibuf = lstore;\n"
"__local int* lcount = ibuf + SUM_BUF_SIZE;\n"
"#else\n"
"__local int* lcount = lstore;\n"
"#endif\n"
"__local float* lnf = (__local float*)(lcount + 1);\n"
"__local float* lpartsum = lnf + LOCAL_SIZE;\n"
"__local short* lbuf = (__local short*)(lpartsum + LOCAL_SIZE);\n"
"for( scaleIdx = nscales-1; scaleIdx >= 0; scaleIdx-- )\n"
"{\n"
"__global const ScaleData* s = scaleData + scaleIdx;\n"
"int ystep = s->ystep;\n"
"int2 worksize = (int2)(max(s->szi_width - windowsize.x, 0), max(s->szi_height - windowsize.y, 0));\n"
"int2 ntiles = (int2)((worksize.x + LOCAL_SIZE_X-1)/LOCAL_SIZE_X,\n"
"(worksize.y + LOCAL_SIZE_Y-1)/LOCAL_SIZE_Y);\n"
"int totalTiles = ntiles.x*ntiles.y;\n"
"for( tileIdx = groupIdx; tileIdx < totalTiles; tileIdx += ngroups )\n"
"{\n"
"int ix0 = (tileIdx % ntiles.x)*LOCAL_SIZE_X;\n"
"int iy0 = (tileIdx / ntiles.x)*LOCAL_SIZE_Y;\n"
"int ix = lx, iy = ly;\n"
"__global const int* psum0 = sum + mad24(iy0, sumstep, ix0) + s->layer_ofs;\n"
"__global const int* psum1 = psum0 + mad24(iy, sumstep, ix);\n"
"if( ix0 >= worksize.x || iy0 >= worksize.y )\n"
"continue;\n"
"#if SUM_BUF_SIZE > 0\n"
"for( i = lidx*4; i < SUM_BUF_SIZE; i += LOCAL_SIZE_X*LOCAL_SIZE_Y*4 )\n"
"{\n"
"int dy = i/SUM_BUF_STEP, dx = i - dy*SUM_BUF_STEP;\n"
"vstore4(vload4(0, psum0 + mad24(dy, sumstep, dx)), 0, ibuf+i);\n"
"}\n"
"#endif\n"
"if( lidx == 0 )\n"
"lcount[0] = 0;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if( ix0 + ix < worksize.x && iy0 + iy < worksize.y )\n"
"{\n"
"#if NODE_COUNT==1\n"
"__global const Stump* stump = (__global const Stump*)nodes;\n"
"#else\n"
"__global const Node* node = nodes;\n"
"__global const float* leaves = leaves0;\n"
"#endif\n"
"#if SUM_BUF_SIZE > 0\n"
"__local const int* psum = ibuf + mad24(iy, SUM_BUF_STEP, ix);\n"
"#else\n"
"__global const int* psum = psum1;\n"
"#endif\n"
"__global const int* psqsum = (__global const int*)(psum1 + sqofs);\n"
"float sval = (psum[nofs.x] - psum[nofs.y] - psum[nofs.z] + psum[nofs.w])*invarea;\n"
"float sqval = (psqsum[nofs0.x] - psqsum[nofs0.y] - psqsum[nofs0.z] + psqsum[nofs0.w])*invarea;\n"
"float nf = (float)normarea * sqrt(max(sqval - sval * sval, 0.f));\n"
"nf = nf > 0 ? nf : 1.f;\n"
"for( stageIdx = 0; stageIdx < SPLIT_STAGE; stageIdx++ )\n"
"{\n"
"int ntrees = stages[stageIdx].ntrees;\n"
"float s = 0.f;\n"
"#if NODE_COUNT==1\n"
"for( i = 0; i < ntrees; i++ )\n"
"{\n"
"float4 st = stump[i].st;\n"
"__global const OptHaarFeature* f = optfeatures + as_int(st.x);\n"
"float4 weight = f->weight;\n"
"int4 ofs = f->ofs[0];\n"
"sval = (psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w])*weight.x;\n"
"ofs = f->ofs[1];\n"
"sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.y, sval);\n"
"if( weight.z > 0 )\n"
"{\n"
"ofs = f->ofs[2];\n"
"sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.z, sval);\n"
"}\n"
"s += (sval < st.y*nf) ? st.z : st.w;\n"
"}\n"
"stump += ntrees;\n"
"#else\n"
"for( i = 0; i < ntrees; i++, node += NODE_COUNT, leaves += NODE_COUNT+1 )\n"
"{\n"
"int idx = 0;\n"
"do\n"
"{\n"
"int4 n = node[idx].n;\n"
"__global const OptHaarFeature* f = optfeatures + n.x;\n"
"float4 weight = f->weight;\n"
"int4 ofs = f->ofs[0];\n"
"sval = (psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w])*weight.x;\n"
"ofs = f->ofs[1];\n"
"sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.y, sval);\n"
"if( weight.z > 0 )\n"
"{\n"
"ofs = f->ofs[2];\n"
"sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.z, sval);\n"
"}\n"
"idx = (sval < as_float(n.y)*nf) ? n.z : n.w;\n"
"}\n"
"while(idx > 0);\n"
"s += leaves[-idx];\n"
"}\n"
"#endif\n"
"if( s < stages[stageIdx].threshold )\n"
"break;\n"
"}\n"
"if( stageIdx == SPLIT_STAGE && (ystep == 1 || ((ix | iy) & 1) == 0) )\n"
"{\n"
"int count = atomic_inc(lcount);\n"
"lbuf[count] = (int)(ix | (iy << 8));\n"
"lnf[count] = nf;\n"
"}\n"
"}\n"
"for( stageIdx = SPLIT_STAGE; stageIdx < N_STAGES; stageIdx++ )\n"
"{\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"int nrects = lcount[0];\n"
"if( nrects == 0 )\n"
"break;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if( lidx == 0 )\n"
"lcount[0] = 0;\n"
"{\n"
"#if NODE_COUNT == 1\n"
"__global const Stump* stump = (__global const Stump*)nodes + stages[stageIdx].first;\n"
"#else\n"
"__global const Node* node = nodes + stages[stageIdx].first*NODE_COUNT;\n"
"__global const float* leaves = leaves0 + stages[stageIdx].first*(NODE_COUNT+1);\n"
"#endif\n"
"int nparts = LOCAL_SIZE / nrects;\n"
"int ntrees = stages[stageIdx].ntrees;\n"
"int ntrees_p = (ntrees + nparts - 1)/nparts;\n"
"int nr = lidx / nparts;\n"
"int partidx = -1, idxval = 0;\n"
"float partsum = 0.f, nf = 0.f;\n"
"if( nr < nrects )\n"
"{\n"
"partidx = lidx % nparts;\n"
"idxval = lbuf[nr];\n"
"nf = lnf[nr];\n"
"{\n"
"int ntrees0 = ntrees_p*partidx;\n"
"int ntrees1 = min(ntrees0 + ntrees_p, ntrees);\n"
"int ix1 = idxval & 255, iy1 = idxval >> 8;\n"
"#if SUM_BUF_SIZE > 0\n"
"__local const int* psum = ibuf + mad24(iy1, SUM_BUF_STEP, ix1);\n"
"#else\n"
"__global const int* psum = psum0 + mad24(iy1, sumstep, ix1);\n"
"#endif\n"
"#if NODE_COUNT == 1\n"
"for( i = ntrees0; i < ntrees1; i++ )\n"
"{\n"
"float4 st = stump[i].st;\n"
"__global const OptHaarFeature* f = optfeatures + as_int(st.x);\n"
"float4 weight = f->weight;\n"
"int4 ofs = f->ofs[0];\n"
"float sval = (psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w])*weight.x;\n"
"ofs = f->ofs[1];\n"
"sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.y, sval);\n"
"if( fabs(weight.z) > 0 )\n"
"{\n"
"ofs = f->ofs[2];\n"
"sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.z, sval);\n"
"}\n"
"partsum += (sval < st.y*nf) ? st.z : st.w;\n"
"}\n"
"#else\n"
"for( i = ntrees0; i < ntrees1; i++ )\n"
"{\n"
"int idx = 0;\n"
"do\n"
"{\n"
"int4 n = node[i*2 + idx].n;\n"
"__global const OptHaarFeature* f = optfeatures + n.x;\n"
"float4 weight = f->weight;\n"
"int4 ofs = f->ofs[0];\n"
"float sval = (psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w])*weight.x;\n"
"ofs = f->ofs[1];\n"
"sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.y, sval);\n"
"if( weight.z > 0 )\n"
"{\n"
"ofs = f->ofs[2];\n"
"sval = mad((float)(psum[ofs.x] - psum[ofs.y] - psum[ofs.z] + psum[ofs.w]), weight.z, sval);\n"
"}\n"
"idx = (sval < as_float(n.y)*nf) ? n.z : n.w;\n"
"}\n"
"while(idx > 0);\n"
"partsum += leaves[i*3-idx];\n"
"}\n"
"#endif\n"
"}\n"
"}\n"
"lpartsum[lidx] = partsum;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if( partidx == 0 )\n"
"{\n"
"float s = lpartsum[nr*nparts];\n"
"for( i = 1; i < nparts; i++ )\n"
"s += lpartsum[i + nr*nparts];\n"
"if( s >= stages[stageIdx].threshold )\n"
"{\n"
"int count = atomic_inc(lcount);\n"
"lbuf[count] = idxval;\n"
"lnf[count] = nf;\n"
"}\n"
"}\n"
"}\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if( stageIdx == N_STAGES )\n"
"{\n"
"int nrects = lcount[0];\n"
"if( lidx < nrects )\n"
"{\n"
"int nfaces = atomic_inc(facepos);\n"
"if( nfaces < MAX_FACES )\n"
"{\n"
"volatile __global int* face = facepos + 1 + nfaces*3;\n"
"int val = lbuf[lidx];\n"
"face[0] = scaleIdx;\n"
"face[1] = ix0 + (val & 255);\n"
"face[2] = iy0 + (val >> 8);\n"
"}\n"
"}\n"
"}\n"
"}\n"
"}\n"
"}\n"
"#endif\n"
"#ifdef LBP\n"
"#undef CALC_SUM_OFS_\n"
"#define CALC_SUM_OFS_(p0, p1, p2, p3, ptr) \\\n"
"((ptr)[p0] - (ptr)[p1] - (ptr)[p2] + (ptr)[p3])\n"
"__kernel void runLBPClassifierStumpSimple(\n"
"int nscales, __global const ScaleData* scaleData,\n"
"__global const int* sum,\n"
"int _sumstep, int sumoffset,\n"
"__global const OptLBPFeature* optfeatures,\n"
"__global const Stage* stages,\n"
"__global const Stump* stumps,\n"
"__global const int* bitsets,\n"
"int bitsetSize,\n"
"volatile __global int* facepos,\n"
"int2 windowsize)\n"
"{\n"
"int lx = get_local_id(0);\n"
"int ly = get_local_id(1);\n"
"int local_size_x = get_local_size(0);\n"
"int local_size_y = get_local_size(1);\n"
"int groupIdx = get_group_id(1)*get_num_groups(0) + get_group_id(0);\n"
"int ngroups = get_num_groups(0)*get_num_groups(1);\n"
"int scaleIdx, tileIdx, stageIdx;\n"
"int sumstep = (int)(_sumstep/sizeof(int));\n"
"for( scaleIdx = nscales-1; scaleIdx >= 0; scaleIdx-- )\n"
"{\n"
"__global const ScaleData* s = scaleData + scaleIdx;\n"
"int ystep = s->ystep;\n"
"int2 worksize = (int2)(max(s->szi_width - windowsize.x, 0), max(s->szi_height - windowsize.y, 0));\n"
"int2 ntiles = (int2)((worksize.x/ystep + local_size_x-1)/local_size_x,\n"
"(worksize.y/ystep + local_size_y-1)/local_size_y);\n"
"int totalTiles = ntiles.x*ntiles.y;\n"
"for( tileIdx = groupIdx; tileIdx < totalTiles; tileIdx += ngroups )\n"
"{\n"
"int iy = mad24((tileIdx / ntiles.x), local_size_y, ly) * ystep;\n"
"int ix = mad24((tileIdx % ntiles.x), local_size_x, lx) * ystep;\n"
"if( ix < worksize.x && iy < worksize.y )\n"
"{\n"
"__global const int* p = sum + mad24(iy, sumstep, ix) + s->layer_ofs;\n"
"__global const Stump* stump = stumps;\n"
"__global const int* bitset = bitsets;\n"
"for( stageIdx = 0; stageIdx < N_STAGES; stageIdx++ )\n"
"{\n"
"int i, ntrees = stages[stageIdx].ntrees;\n"
"float s = 0.f;\n"
"for( i = 0; i < ntrees; i++, stump++, bitset += bitsetSize )\n"
"{\n"
"float4 st = stump->st;\n"
"__global const OptLBPFeature* f = optfeatures + as_int(st.x);\n"
"int16 ofs = f->ofs;\n"
"int cval = CALC_SUM_OFS_( ofs.s5, ofs.s6, ofs.s9, ofs.sa, p );\n"
"int mask, idx = (CALC_SUM_OFS_( ofs.s0, ofs.s1, ofs.s4, ofs.s5, p ) >= cval ? 4 : 0);\n"
"idx |= (CALC_SUM_OFS_( ofs.s1, ofs.s2, ofs.s5, ofs.s6, p ) >= cval ? 2 : 0);\n"
"idx |= (CALC_SUM_OFS_( ofs.s2, ofs.s3, ofs.s6, ofs.s7, p ) >= cval ? 1 : 0);\n"
"mask = (CALC_SUM_OFS_( ofs.s6, ofs.s7, ofs.sa, ofs.sb, p ) >= cval ? 16 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.sa, ofs.sb, ofs.se, ofs.sf, p ) >= cval ? 8 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.s9, ofs.sa, ofs.sd, ofs.se, p ) >= cval ? 4 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.s8, ofs.s9, ofs.sc, ofs.sd, p ) >= cval ? 2 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.s4, ofs.s5, ofs.s8, ofs.s9, p ) >= cval ? 1 : 0);\n"
"s += (bitset[idx] & (1 << mask)) ? st.z : st.w;\n"
"}\n"
"if( s < stages[stageIdx].threshold )\n"
"break;\n"
"}\n"
"if( stageIdx == N_STAGES )\n"
"{\n"
"int nfaces = atomic_inc(facepos);\n"
"if( nfaces < MAX_FACES )\n"
"{\n"
"volatile __global int* face = facepos + 1 + nfaces*3;\n"
"face[0] = scaleIdx;\n"
"face[1] = ix;\n"
"face[2] = iy;\n"
"}\n"
"}\n"
"}\n"
"}\n"
"}\n"
"}\n"
"__kernel __attribute__((reqd_work_group_size(LOCAL_SIZE_X,LOCAL_SIZE_Y,1)))\n"
"void runLBPClassifierStump(\n"
"int nscales, __global const ScaleData* scaleData,\n"
"__global const int* sum,\n"
"int _sumstep, int sumoffset,\n"
"__global const OptLBPFeature* optfeatures,\n"
"__global const Stage* stages,\n"
"__global const Stump* stumps,\n"
"__global const int* bitsets,\n"
"int bitsetSize,\n"
"volatile __global int* facepos,\n"
"int2 windowsize)\n"
"{\n"
"int lx = get_local_id(0);\n"
"int ly = get_local_id(1);\n"
"int groupIdx = get_group_id(0);\n"
"int i, ngroups = get_global_size(0)/LOCAL_SIZE_X;\n"
"int scaleIdx, tileIdx, stageIdx;\n"
"int sumstep = (int)(_sumstep/sizeof(int));\n"
"int lidx = ly*LOCAL_SIZE_X + lx;\n"
"#define LOCAL_SIZE (LOCAL_SIZE_X*LOCAL_SIZE_Y)\n"
"__local int lstore[SUM_BUF_SIZE + LOCAL_SIZE*3/2+1];\n"
"#if SUM_BUF_SIZE > 0\n"
"__local int* ibuf = lstore;\n"
"__local int* lcount = ibuf + SUM_BUF_SIZE;\n"
"#else\n"
"__local int* lcount = lstore;\n"
"#endif\n"
"__local float* lpartsum = (__local float*)(lcount + 1);\n"
"__local short* lbuf = (__local short*)(lpartsum + LOCAL_SIZE);\n"
"for( scaleIdx = nscales-1; scaleIdx >= 0; scaleIdx-- )\n"
"{\n"
"__global const ScaleData* s = scaleData + scaleIdx;\n"
"int ystep = s->ystep;\n"
"int2 worksize = (int2)(max(s->szi_width - windowsize.x, 0), max(s->szi_height - windowsize.y, 0));\n"
"int2 ntiles = (int2)((worksize.x + LOCAL_SIZE_X-1)/LOCAL_SIZE_X,\n"
"(worksize.y + LOCAL_SIZE_Y-1)/LOCAL_SIZE_Y);\n"
"int totalTiles = ntiles.x*ntiles.y;\n"
"for( tileIdx = groupIdx; tileIdx < totalTiles; tileIdx += ngroups )\n"
"{\n"
"int ix0 = (tileIdx % ntiles.x)*LOCAL_SIZE_X;\n"
"int iy0 = (tileIdx / ntiles.x)*LOCAL_SIZE_Y;\n"
"int ix = lx, iy = ly;\n"
"__global const int* psum0 = sum + mad24(iy0, sumstep, ix0) + s->layer_ofs;\n"
"if( ix0 >= worksize.x || iy0 >= worksize.y )\n"
"continue;\n"
"#if SUM_BUF_SIZE > 0\n"
"for( i = lidx*4; i < SUM_BUF_SIZE; i += LOCAL_SIZE_X*LOCAL_SIZE_Y*4 )\n"
"{\n"
"int dy = i/SUM_BUF_STEP, dx = i - dy*SUM_BUF_STEP;\n"
"vstore4(vload4(0, psum0 + mad24(dy, sumstep, dx)), 0, ibuf+i);\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"#endif\n"
"if( lidx == 0 )\n"
"lcount[0] = 0;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if( ix0 + ix < worksize.x && iy0 + iy < worksize.y )\n"
"{\n"
"__global const Stump* stump = stumps;\n"
"__global const int* bitset = bitsets;\n"
"#if SUM_BUF_SIZE > 0\n"
"__local const int* p = ibuf + mad24(iy, SUM_BUF_STEP, ix);\n"
"#else\n"
"__global const int* p = psum0 + mad24(iy, sumstep, ix);\n"
"#endif\n"
"for( stageIdx = 0; stageIdx < SPLIT_STAGE; stageIdx++ )\n"
"{\n"
"int ntrees = stages[stageIdx].ntrees;\n"
"float s = 0.f;\n"
"for( i = 0; i < ntrees; i++, stump++, bitset += bitsetSize )\n"
"{\n"
"float4 st = stump->st;\n"
"__global const OptLBPFeature* f = optfeatures + as_int(st.x);\n"
"int16 ofs = f->ofs;\n"
"int cval = CALC_SUM_OFS_( ofs.s5, ofs.s6, ofs.s9, ofs.sa, p );\n"
"int mask, idx = (CALC_SUM_OFS_( ofs.s0, ofs.s1, ofs.s4, ofs.s5, p ) >= cval ? 4 : 0);\n"
"idx |= (CALC_SUM_OFS_( ofs.s1, ofs.s2, ofs.s5, ofs.s6, p ) >= cval ? 2 : 0);\n"
"idx |= (CALC_SUM_OFS_( ofs.s2, ofs.s3, ofs.s6, ofs.s7, p ) >= cval ? 1 : 0);\n"
"mask = (CALC_SUM_OFS_( ofs.s6, ofs.s7, ofs.sa, ofs.sb, p ) >= cval ? 16 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.sa, ofs.sb, ofs.se, ofs.sf, p ) >= cval ? 8 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.s9, ofs.sa, ofs.sd, ofs.se, p ) >= cval ? 4 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.s8, ofs.s9, ofs.sc, ofs.sd, p ) >= cval ? 2 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.s4, ofs.s5, ofs.s8, ofs.s9, p ) >= cval ? 1 : 0);\n"
"s += (bitset[idx] & (1 << mask)) ? st.z : st.w;\n"
"}\n"
"if( s < stages[stageIdx].threshold )\n"
"break;\n"
"}\n"
"if( stageIdx == SPLIT_STAGE && (ystep == 1 || ((ix | iy) & 1) == 0) )\n"
"{\n"
"int count = atomic_inc(lcount);\n"
"lbuf[count] = (int)(ix | (iy << 8));\n"
"}\n"
"}\n"
"for( stageIdx = SPLIT_STAGE; stageIdx < N_STAGES; stageIdx++ )\n"
"{\n"
"int nrects = lcount[0];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if( nrects == 0 )\n"
"break;\n"
"if( lidx == 0 )\n"
"lcount[0] = 0;\n"
"{\n"
"__global const Stump* stump = stumps + stages[stageIdx].first;\n"
"__global const int* bitset = bitsets + stages[stageIdx].first*bitsetSize;\n"
"int nparts = LOCAL_SIZE / nrects;\n"
"int ntrees = stages[stageIdx].ntrees;\n"
"int ntrees_p = (ntrees + nparts - 1)/nparts;\n"
"int nr = lidx / nparts;\n"
"int partidx = -1, idxval = 0;\n"
"float partsum = 0.f, nf = 0.f;\n"
"if( nr < nrects )\n"
"{\n"
"partidx = lidx % nparts;\n"
"idxval = lbuf[nr];\n"
"{\n"
"int ntrees0 = ntrees_p*partidx;\n"
"int ntrees1 = min(ntrees0 + ntrees_p, ntrees);\n"
"int ix1 = idxval & 255, iy1 = idxval >> 8;\n"
"#if SUM_BUF_SIZE > 0\n"
"__local const int* p = ibuf + mad24(iy1, SUM_BUF_STEP, ix1);\n"
"#else\n"
"__global const int* p = psum0 + mad24(iy1, sumstep, ix1);\n"
"#endif\n"
"for( i = ntrees0; i < ntrees1; i++ )\n"
"{\n"
"float4 st = stump[i].st;\n"
"__global const OptLBPFeature* f = optfeatures + as_int(st.x);\n"
"int16 ofs = f->ofs;\n"
"#define CALC_SUM_OFS_(p0, p1, p2, p3, ptr) \\\n"
"((ptr)[p0] - (ptr)[p1] - (ptr)[p2] + (ptr)[p3])\n"
"int cval = CALC_SUM_OFS_( ofs.s5, ofs.s6, ofs.s9, ofs.sa, p );\n"
"int mask, idx = (CALC_SUM_OFS_( ofs.s0, ofs.s1, ofs.s4, ofs.s5, p ) >= cval ? 4 : 0);\n"
"idx |= (CALC_SUM_OFS_( ofs.s1, ofs.s2, ofs.s5, ofs.s6, p ) >= cval ? 2 : 0);\n"
"idx |= (CALC_SUM_OFS_( ofs.s2, ofs.s3, ofs.s6, ofs.s7, p ) >= cval ? 1 : 0);\n"
"mask = (CALC_SUM_OFS_( ofs.s6, ofs.s7, ofs.sa, ofs.sb, p ) >= cval ? 16 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.sa, ofs.sb, ofs.se, ofs.sf, p ) >= cval ? 8 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.s9, ofs.sa, ofs.sd, ofs.se, p ) >= cval ? 4 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.s8, ofs.s9, ofs.sc, ofs.sd, p ) >= cval ? 2 : 0);\n"
"mask |= (CALC_SUM_OFS_( ofs.s4, ofs.s5, ofs.s8, ofs.s9, p ) >= cval ? 1 : 0);\n"
"partsum += (bitset[i*bitsetSize + idx] & (1 << mask)) ? st.z : st.w;\n"
"}\n"
"}\n"
"}\n"
"lpartsum[lidx] = partsum;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if( partidx == 0 )\n"
"{\n"
"float s = lpartsum[nr*nparts];\n"
"for( i = 1; i < nparts; i++ )\n"
"s += lpartsum[i + nr*nparts];\n"
"if( s >= stages[stageIdx].threshold )\n"
"{\n"
"int count = atomic_inc(lcount);\n"
"lbuf[count] = idxval;\n"
"}\n"
"}\n"
"}\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if( stageIdx == N_STAGES )\n"
"{\n"
"int nrects = lcount[0];\n"
"if( lidx < nrects )\n"
"{\n"
"int nfaces = atomic_inc(facepos);\n"
"if( nfaces < MAX_FACES )\n"
"{\n"
"volatile __global int* face = facepos + 1 + nfaces*3;\n"
"int val = lbuf[lidx];\n"
"face[0] = scaleIdx;\n"
"face[1] = ix0 + (val & 255);\n"
"face[2] = iy0 + (val >> 8);\n"
"}\n"
"}\n"
"}\n"
"}\n"
"}\n"
"}\n"
"#endif\n"
, "91af1bca5e8f46e8426e0f3a1eb8d1f2", NULL};
struct cv::ocl::internal::ProgramEntry objdetect_hog_oclsrc={moduleName, "objdetect_hog",
"#define CELL_WIDTH 8\n"
"#define CELL_HEIGHT 8\n"
"#define CELLS_PER_BLOCK_X 2\n"
"#define CELLS_PER_BLOCK_Y 2\n"
"#define NTHREADS 256\n"
"#define CV_PI_F M_PI_F\n"
"#ifdef INTEL_DEVICE\n"
"#define QANGLE_TYPE     int\n"
"#define QANGLE_TYPE2    int2\n"
"#else\n"
"#define QANGLE_TYPE     uchar\n"
"#define QANGLE_TYPE2    uchar2\n"
"#endif\n"
"__kernel void compute_hists_lut_kernel(\n"
"const int cblock_stride_x, const int cblock_stride_y,\n"
"const int cnbins, const int cblock_hist_size, const int img_block_width,\n"
"const int blocks_in_group, const int blocks_total,\n"
"const int grad_quadstep, const int qangle_step,\n"
"__global const float* grad, __global const QANGLE_TYPE* qangle,\n"
"__global const float* gauss_w_lut,\n"
"__global float* block_hists, __local float* smem)\n"
"{\n"
"const int lx = get_local_id(0);\n"
"const int lp = lx / 24; \n"
"const int gid = get_group_id(0) * blocks_in_group + lp;\n"
"const int gidY = gid / img_block_width;\n"
"const int gidX = gid - gidY * img_block_width;\n"
"const int lidX = lx - lp * 24;\n"
"const int lidY = get_local_id(1);\n"
"const int cell_x = lidX / 12;\n"
"const int cell_y = lidY;\n"
"const int cell_thread_x = lidX - cell_x * 12;\n"
"__local float* hists = smem + lp * cnbins * (CELLS_PER_BLOCK_X *\n"
"CELLS_PER_BLOCK_Y * 12 + CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y);\n"
"__local float* final_hist = hists + cnbins *\n"
"(CELLS_PER_BLOCK_X * CELLS_PER_BLOCK_Y * 12);\n"
"const int offset_x = gidX * cblock_stride_x + (cell_x << 2) + cell_thread_x;\n"
"const int offset_y = gidY * cblock_stride_y + (cell_y << 2);\n"
"__global const float* grad_ptr = (gid < blocks_total) ?\n"
"grad + offset_y * grad_quadstep + (offset_x << 1) : grad;\n"
"__global const QANGLE_TYPE* qangle_ptr = (gid < blocks_total) ?\n"
"qangle + offset_y * qangle_step + (offset_x << 1) : qangle;\n"
"__local float* hist = hists + 12 * (cell_y * CELLS_PER_BLOCK_Y + cell_x) +\n"
"cell_thread_x;\n"
"for (int bin_id = 0; bin_id < cnbins; ++bin_id)\n"
"hist[bin_id * 48] = 0.f;\n"
"const int dist_x = -4 + cell_thread_x - 4 * cell_x;\n"
"const int dist_center_x = dist_x - 4 * (1 - 2 * cell_x);\n"
"const int dist_y_begin = -4 - 4 * lidY;\n"
"for (int dist_y = dist_y_begin; dist_y < dist_y_begin + 12; ++dist_y)\n"
"{\n"
"float2 vote = (float2) (grad_ptr[0], grad_ptr[1]);\n"
"QANGLE_TYPE2 bin = (QANGLE_TYPE2) (qangle_ptr[0], qangle_ptr[1]);\n"
"grad_ptr += grad_quadstep;\n"
"qangle_ptr += qangle_step;\n"
"int dist_center_y = dist_y - 4 * (1 - 2 * cell_y);\n"
"int idx = (dist_center_y + 8) * 16 + (dist_center_x + 8);\n"
"float gaussian = gauss_w_lut[idx];\n"
"idx = (dist_y + 8) * 16 + (dist_x + 8);\n"
"float interp_weight = gauss_w_lut[256+idx];\n"
"hist[bin.x * 48] += gaussian * interp_weight * vote.x;\n"
"hist[bin.y * 48] += gaussian * interp_weight * vote.y;\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"volatile __local float* hist_ = hist;\n"
"for (int bin_id = 0; bin_id < cnbins; ++bin_id, hist_ += 48)\n"
"{\n"
"if (cell_thread_x < 6)\n"
"hist_[0] += hist_[6];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (cell_thread_x < 3)\n"
"hist_[0] += hist_[3];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (cell_thread_x == 0)\n"
"final_hist[(cell_x * 2 + cell_y) * cnbins + bin_id] =\n"
"hist_[0] + hist_[1] + hist_[2];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"int tid = (cell_y * CELLS_PER_BLOCK_Y + cell_x) * 12 + cell_thread_x;\n"
"if ((tid < cblock_hist_size) && (gid < blocks_total))\n"
"{\n"
"__global float* block_hist = block_hists +\n"
"(gidY * img_block_width + gidX) * cblock_hist_size;\n"
"block_hist[tid] = final_hist[tid];\n"
"}\n"
"}\n"
"__kernel void normalize_hists_36_kernel(__global float* block_hists,\n"
"const float threshold, __local float *squares)\n"
"{\n"
"const int tid = get_local_id(0);\n"
"const int gid = get_global_id(0);\n"
"const int bid = tid / 36;      \n"
"const int boffset = bid * 36;  \n"
"const int hid = tid - boffset; \n"
"float elem = block_hists[gid];\n"
"squares[tid] = elem * elem;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"__local float* smem = squares + boffset;\n"
"float sum = smem[hid];\n"
"if (hid < 18)\n"
"smem[hid] = sum = sum + smem[hid + 18];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (hid < 9)\n"
"smem[hid] = sum = sum + smem[hid + 9];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (hid < 4)\n"
"smem[hid] = sum + smem[hid + 4];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"sum = smem[0] + smem[1] + smem[2] + smem[3] + smem[8];\n"
"elem = elem / (sqrt(sum) + 3.6f);\n"
"elem = min(elem, threshold);\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"squares[tid] = elem * elem;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"sum = smem[hid];\n"
"if (hid < 18)\n"
"smem[hid] = sum = sum + smem[hid + 18];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (hid < 9)\n"
"smem[hid] = sum = sum + smem[hid + 9];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (hid < 4)\n"
"smem[hid] = sum + smem[hid + 4];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"sum = smem[0] + smem[1] + smem[2] + smem[3] + smem[8];\n"
"block_hists[gid] = elem / (sqrt(sum) + 1e-3f);\n"
"}\n"
"inline float reduce_smem(volatile __local float* smem, int size)\n"
"{\n"
"unsigned int tid = get_local_id(0);\n"
"float sum = smem[tid];\n"
"if (size >= 512) { if (tid < 256) smem[tid] = sum = sum + smem[tid + 256];\n"
"barrier(CLK_LOCAL_MEM_FENCE); }\n"
"if (size >= 256) { if (tid < 128) smem[tid] = sum = sum + smem[tid + 128];\n"
"barrier(CLK_LOCAL_MEM_FENCE); }\n"
"if (size >= 128) { if (tid < 64) smem[tid] = sum = sum + smem[tid + 64];\n"
"barrier(CLK_LOCAL_MEM_FENCE); }\n"
"if (size >= 64) { if (tid < 32) smem[tid] = sum = sum + smem[tid + 32];\n"
"barrier(CLK_LOCAL_MEM_FENCE); }\n"
"if (size >= 32) { if (tid < 16) smem[tid] = sum = sum + smem[tid + 16];\n"
"barrier(CLK_LOCAL_MEM_FENCE); }\n"
"if (size >= 16) { if (tid < 8) smem[tid] = sum = sum + smem[tid + 8];\n"
"barrier(CLK_LOCAL_MEM_FENCE); }\n"
"if (size >= 8) { if (tid < 4) smem[tid] = sum = sum + smem[tid + 4];\n"
"barrier(CLK_LOCAL_MEM_FENCE); }\n"
"if (size >= 4) { if (tid < 2) smem[tid] = sum = sum + smem[tid + 2];\n"
"barrier(CLK_LOCAL_MEM_FENCE); }\n"
"if (size >= 2) { if (tid < 1) smem[tid] = sum = sum + smem[tid + 1];\n"
"barrier(CLK_LOCAL_MEM_FENCE); }\n"
"return sum;\n"
"}\n"
"__kernel void normalize_hists_kernel(\n"
"const int nthreads, const int block_hist_size, const int img_block_width,\n"
"__global float* block_hists, const float threshold, __local float *squares)\n"
"{\n"
"const int tid = get_local_id(0);\n"
"const int gidX = get_group_id(0);\n"
"const int gidY = get_group_id(1);\n"
"__global float* hist = block_hists + (gidY * img_block_width + gidX) *\n"
"block_hist_size + tid;\n"
"float elem = 0.f;\n"
"if (tid < block_hist_size)\n"
"elem = hist[0];\n"
"squares[tid] = elem * elem;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"float sum = reduce_smem(squares, nthreads);\n"
"float scale = 1.0f / (sqrt(sum) + 0.1f * block_hist_size);\n"
"elem = min(elem * scale, threshold);\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"squares[tid] = elem * elem;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"sum = reduce_smem(squares, nthreads);\n"
"scale = 1.0f / (sqrt(sum) + 1e-3f);\n"
"if (tid < block_hist_size)\n"
"hist[0] = elem * scale;\n"
"}\n"
"#define reduce_with_sync(target, sharedMemory, localMemory, tid, offset) \\\n"
"if (tid < target) sharedMemory[tid] = localMemory = localMemory + sharedMemory[tid + offset]; \\\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"__kernel void classify_hists_180_kernel(\n"
"const int cdescr_width, const int cdescr_height, const int cblock_hist_size,\n"
"const int img_win_width, const int img_block_width,\n"
"const int win_block_stride_x, const int win_block_stride_y,\n"
"__global const float * block_hists, __global const float* coefs,\n"
"float free_coef, float threshold, __global uchar* labels)\n"
"{\n"
"const int tid = get_local_id(0);\n"
"const int gidX = get_group_id(0);\n"
"const int gidY = get_group_id(1);\n"
"__global const float* hist = block_hists + (gidY * win_block_stride_y *\n"
"img_block_width + gidX * win_block_stride_x) * cblock_hist_size;\n"
"float product = 0.f;\n"
"for (int i = 0; i < cdescr_height; i++)\n"
"{\n"
"product += coefs[i * cdescr_width + tid] *\n"
"hist[i * img_block_width * cblock_hist_size + tid];\n"
"}\n"
"__local float products[180];\n"
"products[tid] = product;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"reduce_with_sync(90, products, product, tid, 90);\n"
"reduce_with_sync(45, products, product, tid, 45);\n"
"reduce_with_sync(13, products, product, tid, 32);\n"
"reduce_with_sync(16, products, product, tid, 16);\n"
"reduce_with_sync(8, products, product, tid, 8);\n"
"reduce_with_sync(4, products, product, tid, 4);\n"
"reduce_with_sync(2, products, product, tid, 2);\n"
"if (tid == 0){\n"
"product = product + products[tid + 1];\n"
"labels[gidY * img_win_width + gidX] = (product + free_coef >= threshold);\n"
"}\n"
"}\n"
"__kernel void classify_hists_252_kernel(\n"
"const int cdescr_width, const int cdescr_height, const int cblock_hist_size,\n"
"const int img_win_width, const int img_block_width,\n"
"const int win_block_stride_x, const int win_block_stride_y,\n"
"__global const float * block_hists, __global const float* coefs,\n"
"float free_coef, float threshold, __global uchar* labels)\n"
"{\n"
"const int tid = get_local_id(0);\n"
"const int gidX = get_group_id(0);\n"
"const int gidY = get_group_id(1);\n"
"__global const float* hist = block_hists + (gidY * win_block_stride_y *\n"
"img_block_width + gidX * win_block_stride_x) * cblock_hist_size;\n"
"float product = 0.f;\n"
"if (tid < cdescr_width)\n"
"{\n"
"for (int i = 0; i < cdescr_height; i++)\n"
"product += coefs[i * cdescr_width + tid] *\n"
"hist[i * img_block_width * cblock_hist_size + tid];\n"
"}\n"
"__local float products[NTHREADS];\n"
"products[tid] = product;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"reduce_with_sync(128, products, product, tid, 128);\n"
"reduce_with_sync(64, products, product, tid, 64);\n"
"reduce_with_sync(32, products, product, tid, 32);\n"
"reduce_with_sync(16, products, product, tid, 16);\n"
"reduce_with_sync(8, products, product, tid, 8);\n"
"reduce_with_sync(4, products, product, tid, 4);\n"
"reduce_with_sync(2, products, product, tid, 2);\n"
"if (tid == 0){\n"
"product = product + products[tid + 1];\n"
"labels[gidY * img_win_width + gidX] = (product + free_coef >= threshold);\n"
"}\n"
"}\n"
"__kernel void classify_hists_kernel(\n"
"const int cdescr_size, const int cdescr_width, const int cblock_hist_size,\n"
"const int img_win_width, const int img_block_width,\n"
"const int win_block_stride_x, const int win_block_stride_y,\n"
"__global const float * block_hists, __global const float* coefs,\n"
"float free_coef, float threshold, __global uchar* labels)\n"
"{\n"
"const int tid = get_local_id(0);\n"
"const int gidX = get_group_id(0);\n"
"const int gidY = get_group_id(1);\n"
"__global const float* hist = block_hists + (gidY * win_block_stride_y *\n"
"img_block_width + gidX * win_block_stride_x) * cblock_hist_size;\n"
"float product = 0.f;\n"
"for (int i = tid; i < cdescr_size; i += NTHREADS)\n"
"{\n"
"int offset_y = i / cdescr_width;\n"
"int offset_x = i - offset_y * cdescr_width;\n"
"product += coefs[i] *\n"
"hist[offset_y * img_block_width * cblock_hist_size + offset_x];\n"
"}\n"
"__local float products[NTHREADS];\n"
"products[tid] = product;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"reduce_with_sync(128, products, product, tid, 128);\n"
"reduce_with_sync(64, products, product, tid, 64);\n"
"reduce_with_sync(32, products, product, tid, 32);\n"
"reduce_with_sync(16, products, product, tid, 16);\n"
"reduce_with_sync(8, products, product, tid, 8);\n"
"reduce_with_sync(4, products, product, tid, 4);\n"
"reduce_with_sync(2, products, product, tid, 2);\n"
"if (tid == 0){\n"
"products[tid] = product = product + products[tid + 1];\n"
"labels[gidY * img_win_width + gidX] = (product + free_coef >= threshold);\n"
"}\n"
"}\n"
"__kernel void extract_descrs_by_rows_kernel(\n"
"const int cblock_hist_size, const int descriptors_quadstep,\n"
"const int cdescr_size, const int cdescr_width, const int img_block_width,\n"
"const int win_block_stride_x, const int win_block_stride_y,\n"
"__global const float* block_hists, __global float* descriptors)\n"
"{\n"
"int tid = get_local_id(0);\n"
"int gidX = get_group_id(0);\n"
"int gidY = get_group_id(1);\n"
"__global const float* hist = block_hists + (gidY * win_block_stride_y *\n"
"img_block_width + gidX * win_block_stride_x) * cblock_hist_size;\n"
"__global float* descriptor = descriptors +\n"
"(gidY * get_num_groups(0) + gidX) * descriptors_quadstep;\n"
"for (int i = tid; i < cdescr_size; i += NTHREADS)\n"
"{\n"
"int offset_y = i / cdescr_width;\n"
"int offset_x = i - offset_y * cdescr_width;\n"
"descriptor[i] = hist[offset_y * img_block_width * cblock_hist_size + offset_x];\n"
"}\n"
"}\n"
"__kernel void extract_descrs_by_cols_kernel(\n"
"const int cblock_hist_size, const int descriptors_quadstep, const int cdescr_size,\n"
"const int cnblocks_win_x, const int cnblocks_win_y, const int img_block_width,\n"
"const int win_block_stride_x, const int win_block_stride_y,\n"
"__global const float* block_hists, __global float* descriptors)\n"
"{\n"
"int tid = get_local_id(0);\n"
"int gidX = get_group_id(0);\n"
"int gidY = get_group_id(1);\n"
"__global const float* hist = block_hists +  (gidY * win_block_stride_y *\n"
"img_block_width + gidX * win_block_stride_x) * cblock_hist_size;\n"
"__global float* descriptor = descriptors +\n"
"(gidY * get_num_groups(0) + gidX) * descriptors_quadstep;\n"
"for (int i = tid; i < cdescr_size; i += NTHREADS)\n"
"{\n"
"int block_idx = i / cblock_hist_size;\n"
"int idx_in_block = i - block_idx * cblock_hist_size;\n"
"int y = block_idx / cnblocks_win_x;\n"
"int x = block_idx - y * cnblocks_win_x;\n"
"descriptor[(x * cnblocks_win_y + y) * cblock_hist_size + idx_in_block] =\n"
"hist[(y * img_block_width  + x) * cblock_hist_size + idx_in_block];\n"
"}\n"
"}\n"
"__kernel void compute_gradients_8UC4_kernel(\n"
"const int height, const int width,\n"
"const int img_step, const int grad_quadstep, const int qangle_step,\n"
"const __global uchar4 * img, __global float * grad, __global QANGLE_TYPE * qangle,\n"
"const float angle_scale, const char correct_gamma, const int cnbins)\n"
"{\n"
"const int x = get_global_id(0);\n"
"const int tid = get_local_id(0);\n"
"const int gSizeX = get_local_size(0);\n"
"const int gidY = get_group_id(1);\n"
"__global const uchar4* row = img + gidY * img_step;\n"
"__local float sh_row[(NTHREADS + 2) * 3];\n"
"uchar4 val;\n"
"if (x < width)\n"
"val = row[x];\n"
"else\n"
"val = row[width - 2];\n"
"sh_row[tid + 1] = val.x;\n"
"sh_row[tid + 1 + (NTHREADS + 2)] = val.y;\n"
"sh_row[tid + 1 + 2 * (NTHREADS + 2)] = val.z;\n"
"if (tid == 0)\n"
"{\n"
"val = row[max(x - 1, 1)];\n"
"sh_row[0] = val.x;\n"
"sh_row[(NTHREADS + 2)] = val.y;\n"
"sh_row[2 * (NTHREADS + 2)] = val.z;\n"
"}\n"
"if (tid == gSizeX - 1)\n"
"{\n"
"val = row[min(x + 1, width - 2)];\n"
"sh_row[gSizeX + 1] = val.x;\n"
"sh_row[gSizeX + 1 + (NTHREADS + 2)] = val.y;\n"
"sh_row[gSizeX + 1 + 2 * (NTHREADS + 2)] = val.z;\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (x < width)\n"
"{\n"
"float4 a = (float4) (sh_row[tid], sh_row[tid + (NTHREADS + 2)],\n"
"sh_row[tid + 2 * (NTHREADS + 2)], 0);\n"
"float4 b = (float4) (sh_row[tid + 2], sh_row[tid + 2 + (NTHREADS + 2)],\n"
"sh_row[tid + 2 + 2 * (NTHREADS + 2)], 0);\n"
"float4 dx;\n"
"if (correct_gamma == 1)\n"
"dx = sqrt(b) - sqrt(a);\n"
"else\n"
"dx = b - a;\n"
"float4 dy = (float4) 0.f;\n"
"if (gidY > 0 && gidY < height - 1)\n"
"{\n"
"a = convert_float4(img[(gidY - 1) * img_step + x].xyzw);\n"
"b = convert_float4(img[(gidY + 1) * img_step + x].xyzw);\n"
"if (correct_gamma == 1)\n"
"dy = sqrt(b) - sqrt(a);\n"
"else\n"
"dy = b - a;\n"
"}\n"
"float4 mag = hypot(dx, dy);\n"
"float best_dx = dx.x;\n"
"float best_dy = dy.x;\n"
"float mag0 = mag.x;\n"
"if (mag0 < mag.y)\n"
"{\n"
"best_dx = dx.y;\n"
"best_dy = dy.y;\n"
"mag0 = mag.y;\n"
"}\n"
"if (mag0 < mag.z)\n"
"{\n"
"best_dx = dx.z;\n"
"best_dy = dy.z;\n"
"mag0 = mag.z;\n"
"}\n"
"float ang = (atan2(best_dy, best_dx) + CV_PI_F) * angle_scale - 0.5f;\n"
"int hidx = (int)floor(ang);\n"
"ang -= hidx;\n"
"hidx = (hidx + cnbins) % cnbins;\n"
"qangle[(gidY * qangle_step + x) << 1] = hidx;\n"
"qangle[((gidY * qangle_step + x) << 1) + 1] = (hidx + 1) % cnbins;\n"
"grad[(gidY * grad_quadstep + x) << 1] = mag0 * (1.f - ang);\n"
"grad[((gidY * grad_quadstep + x) << 1) + 1] = mag0 * ang;\n"
"}\n"
"}\n"
"__kernel void compute_gradients_8UC1_kernel(\n"
"const int height, const int width,\n"
"const int img_step, const int grad_quadstep, const int qangle_step,\n"
"__global const uchar * img, __global float * grad, __global QANGLE_TYPE * qangle,\n"
"const float angle_scale, const char correct_gamma, const int cnbins)\n"
"{\n"
"const int x = get_global_id(0);\n"
"const int tid = get_local_id(0);\n"
"const int gSizeX = get_local_size(0);\n"
"const int gidY = get_group_id(1);\n"
"__global const uchar* row = img + gidY * img_step;\n"
"__local float sh_row[NTHREADS + 2];\n"
"if (x < width)\n"
"sh_row[tid + 1] = row[x];\n"
"else\n"
"sh_row[tid + 1] = row[width - 2];\n"
"if (tid == 0)\n"
"sh_row[0] = row[max(x - 1, 1)];\n"
"if (tid == gSizeX - 1)\n"
"sh_row[gSizeX + 1] = row[min(x + 1, width - 2)];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (x < width)\n"
"{\n"
"float dx;\n"
"if (correct_gamma == 1)\n"
"dx = sqrt(sh_row[tid + 2]) - sqrt(sh_row[tid]);\n"
"else\n"
"dx = sh_row[tid + 2] - sh_row[tid];\n"
"float dy = 0.f;\n"
"if (gidY > 0 && gidY < height - 1)\n"
"{\n"
"float a = (float) img[ (gidY + 1) * img_step + x ];\n"
"float b = (float) img[ (gidY - 1) * img_step + x ];\n"
"if (correct_gamma == 1)\n"
"dy = sqrt(a) - sqrt(b);\n"
"else\n"
"dy = a - b;\n"
"}\n"
"float mag = hypot(dx, dy);\n"
"float ang = (atan2(dy, dx) + CV_PI_F) * angle_scale - 0.5f;\n"
"int hidx = (int)floor(ang);\n"
"ang -= hidx;\n"
"hidx = (hidx + cnbins) % cnbins;\n"
"qangle[ (gidY * qangle_step + x) << 1 ]     = hidx;\n"
"qangle[ ((gidY * qangle_step + x) << 1) + 1 ] = (hidx + 1) % cnbins;\n"
"grad[ (gidY * grad_quadstep + x) << 1 ]       = mag * (1.f - ang);\n"
"grad[ ((gidY * grad_quadstep + x) << 1) + 1 ]   = mag * ang;\n"
"}\n"
"}\n"
, "ceeb73dfe1abfee1e5ddba4466eca44f", NULL};

}}}
#endif